Philippa Kaur

Laity JJ. Deserts and desert environments. John Wiley & Sons; UK, 2009.Huang J, Yu H, Guan X, Wang G, Guo R. Accelerated dryland expansion under climate change. Nat Clim Chang. 2015;6:166–71.Article 

Google Scholar 
Berdugo M, Delgado-Baquerizo M, Soliveres S, Hernández-Clemente R, Zhao Y, Gaitán JJ, et al. Global ecosystem thresholds driven by aridity. Science. 2020;367:787–90.CAS 
PubMed 
Article 

Google Scholar 
Danin A. Plant adaptations to environmental stresses in desert dunes. In: Cloudsley-Thompson J, Punzo F, editors. Adaptations of desert organisms. Plant of desert dunes. Springer; Verlag Berlin Heidelberg, 1996.Makhalanyane TP, Valverde A, Gunnigle E, Frossard A, Ramond J-B, Cowan DA. Microbial ecology of hot desert edaphic systems. FEMS Microbiol Rev. 2015;39:203–21.CAS 
PubMed 
Article 

Google Scholar 
Fierer N, Leff JWJ, Adams BJ, Nielsen UN, Bates ST, Lauber CL, et al. Cross-biome metagenomic analyses of soil microbial communities and their functional attributes. Proc Natl Acad Sci USA. 2012;109:21390–5.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Ronca S, Ramond J-BB, Jones BE, Seely M, Cowan DA. Namib Desert dune/interdune transects exhibit habitat-specific edaphic bacterial communities. Front Microbiol. 2015;6:1–12.Article 

Google Scholar 
Pointing SB, Belnap J. Microbial colonization and controls in dryland systems. Nat Rev Microbiol. 2012;10:551–62.CAS 
PubMed 
Article 

Google Scholar 
Noy-Meir I. Desert ecosystems: higher trophic levels. Annu Rev Ecol Syst. 1974;5:195–214.Article 

Google Scholar 
Danin A. Plants of desert dunes. In: Cloudsley-Thompson J, editor. Adaptations of desert organisms. Springer; Verlag Berlin Heidelberg, 2000.Roth-Nebelsick A, Ebner M, Miranda T, Gottschalk V, Voigt D, Gorb S, et al. Leaf surface structures enable the endemic Namib Desert grass Stipagrostis sabulicola to irrigate itself with fog water. J R Soc Interface. 2012;9:1965–74.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Ebner M, Miranda T, Roth-Nebelsick A. Efficient fog harvesting by Stipagrostis sabulicola (Namib dune bushman grass). J Arid Environ. 2011;75:524–31.Article 

Google Scholar 
Cartwright J. Ecological islands: conserving biodiversity hotspots in a changing climate. Front Ecol Environ. 2019;17:fee.2058.Article 

Google Scholar 
André HM, Noti MI, Jacobson KM. The soil microarthropods of the Namib Desert: a patchy mosaic. J African Zool. 1997;111:499–517.
Google Scholar 
Marasco R, Mosqueira MJ, Fusi M, Ramond J, Merlino G, Booth JM, et al. Rhizosheath microbial community assembly of sympatric desert speargrasses is independent of the plant host. Microbiome. 2018;6:215.PubMed 
PubMed Central 
Article 

Google Scholar 
Brown LK, George TS, Neugebauer K, White PJ. The rhizosheath—a potential trait for future agricultural sustainability occurs in orders throughout the angiosperms. Plant Soil. 2017;418:115–28.CAS 
Article 

Google Scholar 
Pang J, Ryan MH, Siddique KHMM, Simpson RJ. Unwrapping the rhizosheath. Plant Soil. 2017;418:129–39.CAS 
Article 

Google Scholar 
Marasco R, Fusi M, Mosqueira M, Booth JM, Rossi F, Cardinale M, et al. Rhizosheath–root system changes exopolysaccharide content but stabilizes bacterial community across contrasting seasons in a desert environment. Environ Microbiome. 2022;17:14.PubMed 
PubMed Central 
Article 

Google Scholar 
Moreno-Espíndola IP, Rivera-Becerril F, de Jesús Ferrara-Guerrero M, De León-González F. Role of root-hairs and hyphae in adhesion of sand particles. Soil Biol Biochem. 2007;39:2520–6.Article 
CAS 

Google Scholar 
Wullstein LHH, Pratt SAA. Scanning electron microscopy of rhizosheaths of Oryzopsis hymenoides. Am J Bot. 1981;68:408–19.Article 

Google Scholar 
Young IM. Variation in moisture contents between bulk soil and the rhizosheath of wheat (Triticum aestivum L. cv. Wembley). New Phytol. 1995;130:135–9.Article 

Google Scholar 
Ashraf M, Hasnain S, Berge O, Campus Q. Effect of exo-polysaccharides producing bacterial inoculation on growth of roots of wheat (Triticum aestivum L.) plants grown in a salt-affected soil. Int J Environ Sci Technol. 2006;3:45–53.Article 

Google Scholar 
George TS, Brown LK, Ramsay L, White PJ, Newton AC, Bengough AG, et al. Understanding the genetic control and physiological traits associated with rhizosheath production by barley (Hordeum vulgare). New Phytol. 2014;203:195–205.CAS 
PubMed 
Article 

Google Scholar 
Ndour PMS, Heulin T, Achouak W, Laplaze L, Cournac L. The rhizosheath: from desert plants adaptation to crop breeding. Plant Soil. 2020;456:1–13.CAS 
Article 

Google Scholar 
Othman AA, Amer WM, Fayez M, Monib M, Hegazi NA. Biodiversity of diazotrophs associated to the plant cover of north sinai deserts. Arch Agron Soil Sci. 2003;49:683–705.Article 

Google Scholar 
Bergmann D, Zehfus M, Zierer L, Smith B, Gabel M. Grass rhizosheaths: associated bacterial communities and potential for nitrogen fixation. West North Am Nat. 2009;69:105–14.Article 

Google Scholar 
Marasco R, Rolli E, Ettoumi B, Vigani G, Mapelli F, Borin S, et al. A drought resistance-promoting microbiome is selected by root system under desert farming. PLoS ONE. 2012;7:e48479.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Marasco R, Mapelli F, Rolli E, Mosqueira MJ, Fusi M, Bariselli P, et al. Salicornia strobilacea (synonym of Halocnemum strobilaceum) grown under different tidal regimes selects rhizosphere bacteria capable of promoting plant growth. Front Microbiol. 2016;7:1–11.Article 

Google Scholar 
Rolli E, Marasco R, Vigani G, Ettoumi B, Mapelli F, Deangelis ML, et al. Improved plant resistance to drought is promoted by the root-associated microbiome as a water stress-dependent trait. Environ Microbiol. 2015;17:316–31.PubMed 
Article 

Google Scholar 
Alsharif W, Saad MM, Hirt H. Desert microbes for boosting sustainable agriculture in extreme environments. Front Microbiol. 2020;11:1666.Zhang Y, Du H, Xu F, Ding Y, Gui Y, Zhang J, et al. Root-bacteria associations boost rhizosheath formation in moderately dry soil through ethylene responses. Plant Physiol. 2020;183:780–92.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Soussi A, Ferjani R, Marasco R, Guesmi A, Cherif H, Rolli E, et al. Plant-associated microbiomes in arid lands: diversity, ecology and biotechnological potential. Plant Soil. 2016;405:357–70.CAS 
Article 

Google Scholar 
Livingston G, Matias M, Calcagno V, Barbera C, Combe M, Leibold MA, et al. Competition-colonization dynamics in experimental bacterial metacommunities. Nat Commun. 2012;3:1–8.Article 
CAS 

Google Scholar 
Smith GR, Steidinger BS, Bruns TD, Peay KG. Competition–colonization tradeoffs structure fungal diversity. ISME J. 2018;12:1758–67.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Seely MK. The Namib dune desert: an unusual ecosystem. J Arid Environ. 1978;1:117–28.Article 

Google Scholar 
Klaassen E, Craven P. Checklist of grasses in Namibia. SABONET; Pretoria & Windhoek, 2014. (Produced by National Botanical Research Institute Private Bag 13184).Neilson JW, Califf K, Cardona C, Copeland A, van Treuren W, Josephson KL, et al. Significant impacts of increasing aridity on the arid soil microbiome. mSystems. 2017;2:1–15.Article 

Google Scholar 
Darwin C. On the origin of species. London: Routledge; 1859.Gunnigle E, Frossard A, Ramond J-B, Guerrero L, Seely M, Cowan DA. Diel-scale temporal dynamics recorded for bacterial groups in Namib Desert soil. Sci Rep. 2017;7:40189.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Wickham H. ggplot2: Elegant graphics for data analysis. Media. Springer; New York, NY 2016.RC-Team. R: A language and environment for statistical computing (Version 3.5. 2, R foundation for statistical computing, Vienna, Austria, 2018). R Foundation for Statistical Computing; 2019.Anderson MMJJ, Gorley RNRN, Clarke KRR. PERMANOVA + for PRIMER: guide to software and statistical methods; PRIMER-E. Plymouth, UK: PRIMER-E Ltd.; 2008.Cherif H, Marasco R, Rolli E, Ferjani R, Fusi M, Soussi A, et al. Oasis desert farming selects environment-specific date palm root endophytic communities and cultivable bacteria that promote resistance to drought. Environ Microbiol Rep. 2015;7:668–78.CAS 
PubMed 
Article 

Google Scholar 
Lee KC, Caruso T, Archer SDJ, Gillman LN, Lau MCY, Craig Cary S, et al. Stochastic and deterministic effects of a moisture gradient on soil microbial communities in the McMurdo dry valleys of Antarctica. Front Microbiol. 2018;9:1–12.Article 

Google Scholar 
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2012;41:D590–6.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Koljalg U, Nilsson RH, Abarenkov K, Tedersoo L, Taylor AFS, Bahram M. Towards a unified paradigm for sequence-based identification of fungi. Mol Ecol. 2014;22:5271–7.Article 
CAS 

Google Scholar 
Ramette A. Multivariate analyses in microbial ecology. FEMS Microbiol Ecol. 2007;62:142–60.CAS 
PubMed 
Article 

Google Scholar 
Clarke KR, Gorley RN. PRIMER v7: user manual/tutorial. Plymouth, UK: PRIMER-E; 2015.Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara B, et al. The vegan R package: community ecology. 2013:0–291Wang Y, Naumann U, Wright ST, Warton DI. mvabund—an R package for model-based analysis of multivariate abundance data. Methods Ecol Evol. 2012;3:471–4.Article 

Google Scholar 
Legendre P. Interpreting the replacement and richness difference components of beta diversity. Glob Ecol Biogeogr. 2014;23:1324–34.Article 

Google Scholar 
Dray S, Blanchet G, Borcard D, Guenard G, Jombart T, Larocque G, et al. Package ‘adespatial’. R package version. 2018.Hammer Ø, Harper DAT, Ryan PD. PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron. 2001;4:1–9.
Google Scholar 
Weiss S, Van Treuren W, Lozupone C, Faust K, Friedman J, Deng Y, et al. Correlation detection strategies in microbial data sets vary widely in sensitivity and precision. ISME J. 2016;10:1669–81.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Faust K, Raes J. Microbial interactions: from networks to models. Nat Rev Microbiol. 2012;10:538–50.CAS 
PubMed 
Article 

Google Scholar 
Bastian M, Heymann S, Jacomy M. Gephi: an open source software for exploring and manipulating networks. Third International AAAI Conference on Weblogs and Social Media. 2009;8:361–2.Barberán A, Bates ST, Casamayor EO, Fierer N. Using network analysis to explore co-occurrence patterns in soil microbial communities. ISME J. 2012;6:343–51.PubMed 
Article 
CAS 

Google Scholar 
Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. J Stat Mech Theory Exp. 2008;2008:P10008.Article 

Google Scholar 
de Vries FT, Griffiths RI, Bailey M, Craig H, Girlanda M, Gweon HS, et al. Soil bacterial networks are less stable under drought than fungal networks. Nat Commun. 2018;9:3033.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Andrews S. FastQC: a quality control tool for high throughput sequence data. Cambridge, United Kingdom: Babraham Bioinformatics, Babraham Institute; 2010.Schmieder R, Edwards R. Quality control and preprocessing of metagenomic datasets. Bioinformatics. 2011;27:863–4.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Rodriguez-R LM, Gunturu S, Tiedje JM, Cole JR, Konstantinidis KT. Nonpareil 3: fast estimation of metagenomic coverage and sequence diversity. mSystems. 2018;3:1–9.Article 

Google Scholar 
Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol. 2019;20:257.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Nurk S, Meleshko D, Korobeynikov A, Pevzner PA. metaSPAdes: a new versatile metagenomic assembler. Genome Res. 2017;27:824–34.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Mikheenko A, Saveliev V, Gurevich A. MetaQUAST: evaluation of metagenome assemblies. Bioinformatics. 2016;32:1088–90.CAS 
PubMed 
Article 

Google Scholar 
Hyatt D, Chen G-L, LoCascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010;11:119.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–9.CAS 
PubMed 
Article 

Google Scholar 
Blin K, Shaw S, Steinke K, Villebro R, Ziemert N, Lee SY, et al. antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Res. 2019;47:W81–7.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Zhang H, Yohe T, Huang L, Entwistle S, Wu P, Yang Z, et al. dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2018;46:W95–101.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2014;12:59–60.PubMed 
Article 
CAS 

Google Scholar 
Vigani G, Rolli E, Marasco R, Dell’Orto M, Michoud G, Soussi A, et al. Root bacterial endophytes confer drought resistance and enhance expression and activity of a vacuolar H+-pumping pyrophosphatase in pepper plants. Environ Microbiol. 2019;21:3212–28.CAS 
Article 

Google Scholar 
Al-Hosni K, Shahzad R, Khan AL, Muhammad Imran Q, Al Harrasi A, Al Rawahi A, et al. Preussia sp. BSL-10 producing nitric oxide, gibberellins, and indole acetic acid and improving rice plant growth. J Plant Interact. 2018;13:112–8.CAS 
Article 

Google Scholar 
Sen D, Paul K, Saha C, Mukherjee G, Nag M, Ghosh S, et al. A unique life-strategy of an endophytic yeast Rhodotorula mucilaginosa JGTA-S1—a comparative genomics viewpoint. DNA Res. 2019;26:131–46.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Johnson JM, Ludwig A, Furch ACU, Mithöfer A, Scholz S, Reichelt M, et al. The beneficial root-colonizing fungus Mortierella hyalina promotes the aerial growth of Arabidopsis and activates calcium-dependent responses that restrict Alternaria brassicae–induced disease development in roots. Mol Plant-Microbe Interact. 2019;32:351–63.CAS 
PubMed 
Article 

Google Scholar 
van Dam NM, Bouwmeester HJ. Metabolomics in the rhizosphere: tapping into belowground chemical communication. Trends Plant Sci. 2016;21:256–65.PubMed 
Article 
CAS 

Google Scholar 
Zeng Y, Charkowski AO. The role of ATP-binding cassette transporters in bacterial phytopathogenesis. Phytopathology®. 2021;111:600–10.Article 

Google Scholar 
Louca S, Polz MF, Mazel F, Albright MBN, Huber JA, O’Connor MI, et al. Function and functional redundancy in microbial systems. Nat Ecol Evol. 2018;2:936–43.PubMed 
Article 

Google Scholar 
Balskus EP, Walsh CT. The genetic and molecular basis for sunscreen biosynthesis in cyanobacteria. Science. 2010;329:1653–6.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Makarova KS, Wolf YI, Iranzo J, Shmakov SA, Alkhnbashi OS, Brouns SJJ, et al. Evolutionary classification of CRISPR–Cas systems: a burst of class 2 and derived variants. Nat Rev Microbiol. 2020;18:67–83.CAS 
PubMed 
Article 

Google Scholar 
Smith VH. Effects of resource supplies on the structure and function of microbial communities. Antonie Van Leeuwenhoek. 2002;81:99–106.CAS 
PubMed 
Article 

Google Scholar 
Albalasmeh AA, Ghezzehei TA. Interplay between soil drying and root exudation in rhizosheath development. Plant Soil. 2014;374:739–51.CAS 
Article 

Google Scholar 
Devitt DA, Smith SD. Root channel macropores enhance downward movement of water in a Mojave Desert ecosystem. J Arid Environ. 2002;50:99–108.Article 

Google Scholar 
Othman AA, Amer WM, Fayez M, Hegazi NA. Rhizosheath of sinai desert plants is a potential repository for associative diazotrophs. Microbiol Res. 2004;159:285–93.PubMed 
Article 

Google Scholar 
Naseem H, Ahsan M, Shahid MA, Khan N. Exopolysaccharides producing rhizobacteria and their role in plant growth and drought tolerance. J Basic Microbiol. 2018;58:1009–22.CAS 
PubMed 
Article 

Google Scholar 
Toju H, Peay KG, Yamamichi M, Narisawa K, Hiruma K, Naito K, et al. Core microbiomes for sustainable agroecosystems. Nat Plants. 2018;4:247–57.PubMed 
Article 

Google Scholar 
Banerjee S, Schlaeppi K, van der Heijden MGAA. Keystone taxa as drivers of microbiome structure and functioning. Nat Rev Microbiol. 2018;16:567–76.CAS 
PubMed 
Article 

Google Scholar 
Agler MT, Ruhe J, Kroll S, Morhenn C, Kim S-TT, Weigel D, et al. Microbial hub taxa link host and abiotic factors to plant microbiome variation. PLoS Biol. 2016;14:1–31.Article 
CAS 

Google Scholar 
Delgado-Baquerizo M, Reich PB, Trivedi C, Eldridge DJ, Abades S, Alfaro FD, et al. Multiple elements of soil biodiversity drive ecosystem functions across biomes. Nat Ecol Evol. 2020;4:210–20.PubMed 
Article 

Google Scholar 
Hassani MA, Durán P, Hacquard S. Microbial interactions within the plant holobiont. Microbiome. 2018;6:58.PubMed 
PubMed Central 
Article 

Google Scholar 
Lopez BR, Bacilio M. Weathering and soil formation in hot, dry environments mediated by plant–microbe interactions. Biol Fertil Soils. 2020;56:447–59.CAS 
Article 

Google Scholar 
Hernandez DJ, David AS, Menges ES, Searcy CA, Afkhami ME. Environmental stress destabilizes microbial networks. ISME J. 2021;15:1722–34.PubMed 
PubMed Central 
Article 

Google Scholar 
Yuan MM, Guo X, Wu L, Zhang Y, Xiao N, Ning D, et al. Climate warming enhances microbial network complexity and stability. Nat Clim Chang. 2021;11:343–8.Article 

Google Scholar 
Safronova VI, Kuznetsova IG, Sazanova AL, Belimov AA, Andronov EE, Chirak ER, et al. Microvirga ossetica sp. nov., a species of rhizobia isolated from root nodules of the legume species Vicia alpestris Steven. Int J Syst Evol Microbiol. 2017;67:94–100.CAS 
PubMed 
Article 

Google Scholar 
Jiménez-Gómez A, Saati-Santamaría Z, Igual J, Rivas R, Mateos P, García-Fraile P. Genome insights into the novel species Microvirga brassicacearum, a rapeseed endophyte with biotechnological potential. Microorganisms. 2019;7:354.PubMed Central 
Article 
CAS 

Google Scholar 
Liu T, Ye N, Wang X, Das D, Tan Y, You X, et al. Drought stress and plant ecotype drive microbiome recruitment in switchgrass rhizosheath. J Integr Plant Biol. 2021;63:1753–74.Blouin M. Chemical communication: an evidence for co-evolution between plants and soil organisms. Appl Soil Ecol. 2018;123:409–15.Article 

Google Scholar 
Sarrocco S, Diquattro S, Baroncelli R, Cimmino A, Evidente A, Vannacci G, et al. A polyphasic contribution to the knowledge of Auxarthron (Onygenaceae). Mycol Prog. 2015;14:112.Macías-Rubalcava ML, Sánchez-Fernández RE. Secondary metabolites of endophytic Xylaria species with potential applications in medicine and agriculture. World J Microbiol Biotechnol. 2017;33:15.Zhang K, Bonito G, Hsu C, Hameed K, Vilgalys R, Liao H-L. Mortierella elongata increases plant biomass among non-leguminous crop species. Agronomy. 2020;10:754.Article 

Google Scholar 
Kobayashi DY, Crouch JA. Bacterial/fungal interactions: from pathogens to mutualistic endosymbionts. Annu Rev Phytopathol. 2009;47:63–82.CAS 
PubMed 
Article 

Google Scholar 
Asmelash F, Bekele T, Birhane E. The potential role of arbuscular mycorrhizal fungi in the restoration of degraded lands. Front Microbiol. 2016;7:1–15.Article 

Google Scholar 
Kohlmeier S, Smits THM, Ford RM, Keel C, Harms H, Wick LY. Taking the fungal highway: mobilization of pollutant-degrading bacteria by fungi. Environ Sci Technol. 2005;39:4640–6.CAS 
PubMed 
Article 

Google Scholar 
Warmink JA, Nazir R, Corten B, van Elsas JD. Hitchhikers on the fungal highway: the helper effect for bacterial migration via fungal hyphae. Soil Biol Biochem. 2011;43:760–5.CAS 
Article 

Google Scholar 
Booth JM, Fusi M, Marasco R, Michoud G, Fodelianakis S, Merlino G, et al. The role of fungi in heterogeneous sediment microbial networks. Sci Rep. 2019;9:7537.Article 
CAS 

Google Scholar 
Deveau A, Bonito G, Uehling J, Paoletti M, Becker M, Bindschedler S, et al. Bacterial-fungal interactions: ecology, mechanisms and challenges. FEMS Microbiol Rev. 2018;42:335–52.CAS 
PubMed 
Article 

Google Scholar 
Simon A, Hervé V, Al-Dourobi A, Verrecchia E, Junier P. An in situ inventory of fungi and their associated migrating bacteria in forest soils using fungal highway columns. FEMS Microbiol Ecol. 2017;93:fiw217.PubMed 
Article 
CAS 

Google Scholar 
Faust K, Raes J. CoNet app: inference of biological association networks using Cytoscape. F1000Research. 2016;5:1519.PubMed 
PubMed Central 
Article 

Google Scholar 
Fierer N, Lauber CL, Ramirez KS, Zaneveld J, Bradford MA, Knight R. Comparative metagenomic, phylogenetic and physiological analyses of soil microbial communities across nitrogen gradients. ISME J. 2012;6:1007–17.CAS 
PubMed 
Article 

Google Scholar 
Zablocki O, Adriaenssens EM, Cowan D. Diversity and ecology of viruses in hyperarid desert soils. Appl Environ Microbiol. 2016;82:770–7.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Van Goethem MW, Swenson TL, Trubl G, Roux S, Northen TR. Characteristics of wetting-induced bacteriophage blooms in biological soil crust. MBio. 2019;10:e02287–19.Lambers H, Mougel C, Jaillard B, Hinsinger P. Plant-microbe-soil interactions in the rhizosphere: an evolutionary perspective. Plant Soil. 2009;321:83–115.CAS 
Article 

Google Scholar 
Ghoul M, Mitri S. The ecology and evolution of microbial competition. Trends Microbiol. 2016;24:833–45.CAS 
PubMed 
Article 

Google Scholar 
Schlatter DC, Kinkel LL. Antibiotics: conflict and communication in microbial communities. Microbe Mag. 2014;9:282–8.Article 

Google Scholar  More

Santana, S. E., Alfaro, J. L. & Alfaro, M. E. Adaptive evolution of facial colour patterns in Neotropical primates. Proc. R. Soc. B Biol. Sci. 279, 2204–2211 (2012).
Google Scholar 
Santana, S. E., Alfaro, J. L., Noonan, A. & Alfaro, M. E. Adaptive response to sociality and ecology drives the diversification of facial colour patterns in catarrhines. Nat. Commun. 4, 25 (2013).
Google Scholar 
Kobayashi, H. & Kohshima, S. Unique morphology of the human eye and its adaptive meaning: Comparative studies on external morphology of the primate eye. J. Hum. Evol. 40, 419–435 (2001).CAS 
PubMed 

Google Scholar 
Tomasello, M., Hare, B., Lehmann, H. & Call, J. Reliance on head versus eyes in the gaze following of great apes and human infants: The cooperative eye hypothesis. J. Hum. Evol. 52, 314–320 (2007).PubMed 

Google Scholar 
Farroni, T. et al. Newborns’ preference for face-relevant stimuli: Effects of contrast polarity. Proc. Natl. Acad. Sci. USA 102, 17245–17250 (2005).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Farroni, T., Massaccesi, S., Pividori, D. & Johnson, M. H. Gaze following in newborns. Infancy 5, 39–60 (2004).
Google Scholar 
Itakura, S. & Tanaka, M. Use of experimenter-given cues during object-choice tasks by chimpanzees (Pan troglodytes), an orangutan (Pongo pygmaeus), and human infants (Homo sapiens). J. Comp. Psychol. 112, 119–126 (1998).CAS 
PubMed 

Google Scholar 
Yorzinski, J. L., Thorstenson, C. A. & Nguyen, T. P. Sclera and iris color interact to influence gaze perception. Front. Psychol. 12, 1–11 (2021).
Google Scholar 
Yorzinski, J. L., Harbourne, A. & Thompson, W. Sclera color in humans facilitates gaze perception during daytime and nighttime. PLoS One 16, 1–15 (2021).
Google Scholar 
Yorzinski, J. L. & Miller, J. Sclera color enhances gaze perception in humans. PLoS One 15, 1–14 (2020).
Google Scholar 
Tomasello, M., Call, J. & Hare, B. Five primate species follow the visual gaze of conspecifics. Anim. Behav. 55, 1063–1069 (1998).CAS 
PubMed 

Google Scholar 
Kano, F. & Call, J. Cross-species variation in gaze following and conspecific preference among great apes, human infants and adults. Anim. Behav. 91, 137–150 (2014).
Google Scholar 
Kano, F., Kawaguchi, Y. & Yeow, H. Experimental evidence for the gaze-signaling hypothesis: White sclera enhances the visibility of eye gaze direction in humans and chimpanzees. bioRxiv 2021.09.21.461201 (2021).Perea-García, J. O., Kret, M. E., Monteiro, A. & Hobaiter, C. Scleral pigmentation leads to conspicuous, not cryptic, eye morphology in chimpanzees. Proc. Natl. Acad. Sci. USA 116, 19248–19250 (2019).PubMed 
PubMed Central 

Google Scholar 
Mearing, A. S. & Koops, K. Quantifying gaze conspicuousness: Are humans distinct from chimpanzees and bonobos ?. J. Hum. Evol. 157, 103043 (2021).PubMed 

Google Scholar 
Mearing, A. S., Burkart, J. M., Dunn, J., Street, S. E. & Koops, K. The evolutionary origins of primate scleral coloration. bioRxiv 40, 2021.07.25.453695 (2021).Mayhew, J. A. & Gómez, J. C. Gorillas with white sclera: A naturally occurring variation in a morphological trait linked to social cognitive functions. Am. J. Primatol. 77, 869–877 (2015).PubMed 

Google Scholar 
Caspar, K. R., Biggemann, M., Geissmann, T. & Begall, S. Ocular pigmentation in humans, great apes, and gibbons is not suggestive of communicative functions. Sci. Rep. 11, 1–14 (2021).
Google Scholar 
Kano, F. et al. What is unique about the human eye? Comparative image analysis on the external eye morphology of human and nonhuman great apes. Evol. Hum. Behav. https://doi.org/10.1016/j.evolhumbehav.2021.12.004 (2021).
Google Scholar 
Caves, E. M. & Johnsen, S. AcuityView: An r package for portraying the effects of visual acuity on scenes observed by an animal. Methods Ecol. Evol. 9, 793–797 (2018).
Google Scholar 
Osorio, D. & Vorobyev, M. Photoreceptor spectral sensitivities in terrestrial animals: Adaptations for luminance and colour vision. Proc. R. Soc. B Biol. Sci. 272, 1745–1752 (2005).CAS 

Google Scholar 
Troscianko, J. & Stevens, M. Image calibration and analysis toolbox—a free software suite for objectively measuring reflectance, colour and pattern. Methods Ecol. Evol. 6, 1320–1331 (2015).PubMed 
PubMed Central 

Google Scholar 
Stevens, M., Párraga, C. A., Cuthill, I. C., Partridge, J. C. & Troscianko, T. S. Using digital photography to study animal coloration. Biol. J. Linn. Soc. 90, 211–237 (2007).
Google Scholar 
Whitham, W., Schapiro, S. J., Troscianko, J. & Yorzinski, J. L. The gaze of a social monkey is perceptible to conspecifics and predators but not prey. Proc. R. Soc. B Biol. Sci. 20, 10 (2002).
Google Scholar 
Bethell, E. J., Vick, S. & Bard, K. A. Measurement of eye-gaze in chimpanzees (Pan troglodytes). Am. J. Primatol. 69, 562–575 (2007).PubMed 

Google Scholar 
Sreekar, R. & Quader, S. Influence of gaze and directness of approach on the escape responses of the Indian rock lizard, Psammophilus dorsalis (Gray, 1831). J. Biosci. 38, 829–833 (2013).CAS 
PubMed 

Google Scholar 
Lee, S. et al. Direct look from a predator shortens the risk-assessment time by prey. PLoS One 8, 1–7 (2013).
Google Scholar 
Carter, J., Lyons, N. J., Cole, H. L. & Goldsmith, A. R. Subtle cues of predation risk: Starlings respond to a predator’s direction of eye-gaze. Proc. R. Soc. B Biol. Sci. 275, 1709–1715 (2008).
Google Scholar 
Newton-Fisher, N. E. Chimpanzee hunting. Behav. Handb. Paleoanthropol. https://doi.org/10.1007/978-3-540-33761-4_42. (2007).
Google Scholar 
Caro, T. et al. The evolution of primate coloration revisited. Behav. Ecol. 32, 555–567 (2021).
Google Scholar 
Kilkenny, C., Browne, W., Cuthill, I. C., Emerson, M. & Altman, D. G. Animal research: Reporting in vivo experiments: The ARRIVE guidelines. Br. J. Pharmacol. 160, 1577–1579 (2010).CAS 
PubMed 
PubMed Central 

Google Scholar 
Bergman, T. J. & Beehner, J. C. A simple method for measuring colour in wild animals: Validation and use on chest patch colour in geladas (Theropithecus gelada). Biol. J. Linn. Soc. 94, 231–240 (2008).
Google Scholar 
Stevens, M., Stoddard, M. C. & Higham, J. P. Studying primate color: Towards visual system-dependent methods. Int. J. Primatol. 30, 893–917 (2009).
Google Scholar 
van den Berg, C. P., Troscianko, J., Endler, J. A., Marshall, N. J. & Cheney, K. L. Quantitative Colour Pattern Analysis (QCPA): A comprehensive framework for the analysis of colour patterns in nature. Methods Ecol. Evol. 11, 316–332 (2020).
Google Scholar 
Deeb, S. S., Jorgensen, A. L., Battisti, L., Iwasaki, L. & Motulsky, A. G. Sequence divergence of the red and green visual pigments in great apes and humans. Proc. Natl. Acad. Sci. USA 91, 7262–7266 (1994).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Matsuzawa, T. Form perception and visual acuity. Folia Primatol. Int. J. Primatol. 55, 24–32 (1990).CAS 

Google Scholar 
Jacobs, G. H., Deegan, J. F. & Moran, J. L. ERG measurements of the spectral sensitivity of common chimpanzee (Pan troglodytes). Vis. Res. 36, 2587–2594 (1996).CAS 
PubMed 

Google Scholar 
Jacobs, G. H. & Deegan, J. F. Uniformity of colour vision in Old World monkeys. Proc. R. Soc. B Biol. Sci. 266, 2023–2028 (1999).CAS 

Google Scholar 
Kemp, A. D. & Christopher Kirk, E. Eye size and visual acuity influence vestibular anatomy in mammals. Anat. Rec. 297, 781–790 (2014).
Google Scholar 
Osorio, D., Smith, A. C., Vorobyev, M. & Buchanan-Smith, H. M. Detection of fruit and the selection of primate visual pigments for color vision. Am. Nat. 164, 696–708 (2004).CAS 
PubMed 

Google Scholar 
Vorobyev, M. & Osorio, D. Receptor noise as a determinant of colour threshoIds. Proc. R. Soc. B Biol. Sci. 265, 351–358 (1998).CAS 

Google Scholar 
Siddiqi, A., Cronin, T. W., Loew, E. R., Vorobyev, M. & Summers, K. Interspecific and intraspecific views of color signals in the strawberry poison frog Dendrobates pumilio. J. Exp. Biol. 207, 2471–2485 (2004).PubMed 

Google Scholar  More

Munday, L. P., White, W. J. & Warner, R. R. A social basis for the development of primary males in a sex-changing fish. Proc. R. Soc. B Biol. Sci. 273(1603), 2845–2851. https://doi.org/10.1098/rspb.2006.3666 (2006).Article 

Google Scholar 
Kuwamura, T., Sunobe, T., Sakai, Y., Kadota, T. & Sawada, S. Hermaphroditism in fishes: An annotated list of species, phylogeny, and mating system. Ichthyol. Res. 67, 341–360. https://doi.org/10.1007/s10228-020-00754-6 (2020).Article 

Google Scholar 
Sadovy, Y. & Shapiro, D. Y. Criteria for the diagnosis of hermaphroditism in fishes. Copeia 1987, 136–156 (1987).Article 

Google Scholar 
Andersson, M. Sexual Selection (Princeton University Press, 1994).Book 

Google Scholar 
Wootton, R. J. & Smith, C. Reproductive Biology of Teleost Fishes (Wiley, 2014).Book 

Google Scholar 
Pla, S., Benvenuto, C., Capellini, I. & Piferrer, F. A phylogenetic comparative analysis on the evolution of sequential hermaphroditism in seabreams (Teleostei: Sparidae). Sci. Rep. UK 10, 3606 (2020).ADS 
CAS 
Article 

Google Scholar 
Nikolsky, G. V. The Ecology of Fishes (Academic Press Inc., 1963).
Google Scholar 
Moe, M. A. Biology of the Red Grouper Epinephelus morio (Valenciennes) from the Eastern Gulf of Mexico. (Florida Det. Natur. Resources Lab. Professional Papers no. 10, 1969).Avise, C. J. & Mank, E. J. Evolutionary perspectives on hermaphroditism in fishes. Sex. Dev. 3, 152–163 (2008).Article 

Google Scholar 
Smith, C. L. Contribution to a theory of hermaphroditism. J. Theor. Biol. 17(1), 76–90. https://doi.org/10.1016/0022-5193(67)90021-5 (1967).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Leonard, L. J. Sexual selection: Lessons from hermaphrodite mating systems. Integr. Comp. Biol. 46(4), 349–367. https://doi.org/10.1093/icb/icj041 (2006).Article 
PubMed 

Google Scholar 
Goikoetxea, A., Todd, V. E. & Gemmell, J. N. Stress and sex: Does cortisol mediate sex change in fish?. Reproduction 154(6), REP-17-0408 (2017).Article 

Google Scholar 
Goikoetxea, A. et al. A new experimental model for the investigation of sequential hermaphroditism. Sci. Rep. UK 11(1), 22881 (2021).ADS 
CAS 
Article 

Google Scholar 
Lodi, E. Sex inversion in domesticated strains of the swordtail, Xiphophorus helleri Heckel (Pisces, Osteichthyes). B. Zool. 47, 1–8 (1980).Article 

Google Scholar 
Huber, J. H. Procatopus websteri: A new species of Lampeye Killifish from Akaka camp, western Gabon (Teleostei: Poeciliidae: Aplocheilichthyinae), exhibiting Similarities of Pattern and Morphology with another sympatric Lampeye species, Aplocheilichthys spilauchen. Trop. Fish Hobbyist 55(1), 110–114 (2007).
Google Scholar 
Cauvet, C. Pseudepiplatys annulatus. Killi Revue 45(2), 2–20 (2019).
Google Scholar 
Domínguez-Castanedo, O., Mosqueda-Cabrera, M. A. & Valdesalici, S. First observations of annualism in Millerichthys robustus (Cyprinodontiformes: Rivulidae). Ichthyol. Explor. Freshw. 24, 15–20 (2013).
Google Scholar 
Furness, A. I., Lee, K. & Reznick, D. N. Adaptation in a variable environment: Phenotypic plasticity and bet-hedging during egg diapause and hatching in an annual killifish. Evolution 69(6), 1461–1475 (2015).Article 

Google Scholar 
Furness, A. I. The evolution of an annual life cycle in killifish: Adaptation to ephemeral aquatic environments through embryonic diapause. Biol. Rev. 91(3), 796–812. https://doi.org/10.1111/brv.12194 (2015).Article 
PubMed 

Google Scholar 
Wourms, J. P. Developmental biology of annual fishes. I. Stages in the normal development of Austrofundulus myersi. Dahl. J. Exp. Zool. 182, 143–168 (1972).CAS 
Article 

Google Scholar 
Murphy, W. J. & Collier, E. G. A molecular phylogeny for aplocheiloid fishes (Atherinomorpha: Cyprinodontiformes): The role of vicariance and the origins of annualism. Mol. Biol. Evol. 14(8), 790–799 (1994).Article 

Google Scholar 
Berois, N., Arezo, J. M., Papa, G. N. & Clivo, A. G. Annual fish: Developmental adaptations for an extreme environment. Wires. Dev. Biol. 1(4), 595–602. https://doi.org/10.1002/wdev.39 (2012).Article 

Google Scholar 
Podrabsky, E. J. & Wilson, E. N. Hypoxia and anoxia tolerance in the annual killifish Austrofundulus limnaeus. Integr. Comp. Biol. 56(4), 500–509. https://doi.org/10.1093/icb/icw092 (2016).CAS 
Article 
PubMed 

Google Scholar 
Reichard, M., Polačik, M. & Sedláček, O. Distribution, colour polymorphism and habitat use of the African killifish, Nothobranchius furzeri, the vertebrate with the shortest lifespan. J. Fish. Biol. 74, 198–212 (2009).CAS 
Article 

Google Scholar 
Lanés, K. E. J., Wolfgang, K. F. & Maltchik, L. Abundance variations and life history traits of two sympatric species of Neotropical annual fish (Cyprinodontiformes: Rivulidae) in temporary ponds of southern Brazil. J. Nat. Hist. 48, 31–32. https://doi.org/10.1080/00222933.2013.862577 (2014).Article 

Google Scholar 
Hass, R. Sexual selection in Nothobranchius guentheri (Pisces: Cyprinodontidae). Evolution 30, 614–622 (1976).Article 

Google Scholar 
Reichard, M. Male-male strategies. In Encyclopedia of Evolutionary Psychological Science (eds. Shackelford, T. K. & Weekes-Shackelford, V. A.) (Springer, 2016).Reichard, M. et al. Lifespan and telomere length variation across populations of wild-derived African killifish. Mol. Ecol. https://doi.org/10.1111/MEC.16287 (2022).Article 

Google Scholar 
Vrtílek, M., Žák, J., Polačik, M., Blažek, R. & Reichard, M. Longitudinal demographic study of wild populations of African annual killifish. Sci. Rep. UK 8, 4774 (2018).ADS 
Article 

Google Scholar 
Passos, C., Tassino, B., Loureiro, M. & Rosenthal, G. G. Intra-and intersexual selection on male body size in the annual killifish Austrolebias charrua. Behav. Process. 96, 20–26 (2013).Article 

Google Scholar 
Parenti, L. R. The phylogeny of atherinomorphs: Evolution of a novel fish reproductive system. In 1. Viviparous Fishes: International Symposia on Livebearing Fishes (eds. Uribe, M. C. & Grier, J. H.) (New Life Publications, 2005).Loureiro, M. et al. Review of the family Rivulidae (Cyprinodontiformes, Aplocheiloidei) and a molecular and morphological phylogeny of the annual fish genus Austrolebias Costa 1998. Neotrop. Ichthyol. 16(3), e180007 (2018).MathSciNet 
Article 

Google Scholar 
Miller, R. R. & Hubbs, L. C. Rivulus robustus, a new cyprinodontid fish from southeastern México. Copeia 1974(4), 865–868. https://doi.org/10.2307/1442584 (1974).Article 

Google Scholar 
Miller, R. R. Peces dulceacuícolas de México. (CONABIO, Sociedad Ictiológica Mexicana, El Colegio de la Frontera Sur, Consejo de Peces del Desierto, 2009).Domínguez-Castanedo, O., Uribe, M. C. & Rosales-Torres, A. M. Life history strategies of annual killifish Millerichthys robustus (Cyprinodontiformes: Cynolebiidae) in a seasonal ephemeral water body in Veracruz, México. Environ. Biol. Fishes. 100(8), 995–1006. https://doi.org/10.1007/s10641-017-0617-y (2017).Article 

Google Scholar 
Domínguez-Castanedo, O., Muñoz-Campos, T. M., Valdesalici, S., Valdez-Carbajal, S. & Passos, C. First description of color variations in the annual killifish Millerichthys robustus, and preliminary observations about its geographical distribution. Environ. Biol. Fishes. 104(3), 293–307. https://doi.org/10.1007/s10641-021-01076-w (2021).Article 

Google Scholar 
Muñoz-Campos, M. T., Valdez-Carbajal, S. & Domínguez-Castanedo, O. Feeding ecology and coexistence dynamics in a community of fishes in a temperate temporary water body. Ecol. Freshw. Fish. 31(1), 1–16 (2021).
Google Scholar 
Jobling, S., Nolan, M., Tyler, C. R., Brighty, G. & Sumpter, J. P. Widespread sexual disruption in wild fish. Environ. Sci. Technol. 32(17), 2498–2506 (1998).ADS 
CAS 
Article 

Google Scholar 
Wong, B. B. M. & Candolin, U. How is female mate choice affected by male competition?. Biol. Rev. Cam. Philos. 80, 559–571. https://doi.org/10.1017/S1464793105006809 (2005).Article 

Google Scholar 
Domínguez-Castanedo, O. Agonistic interactions with asymmetric body size in two adult-age groups of the annual killifish Millerichthys robustus (Miller & Hubbs, 1974). J. Fish. Biol. 99, 1631. https://doi.org/10.1111/jfb.14757 (2021).Article 

Google Scholar 
Polačik, M. & Reichard, M. Asymmetric reproductive isolation between two sympatric annual killifish with extremely short lifespans. PLoS One 6, e22684 (2011).ADS 
Article 

Google Scholar 
Passos, C., Tassino, B., Reyes, F. & Rosenthal, G. G. Seasonal variation in female mate choice and operational sex ratio in wild populations of an annual fish, Austrolebias reicherti. PLoS ONE 9(7), e101649 (2014).ADS 
Article 

Google Scholar 
Warner, R. R. The adaptive significance of sequential hermaphroditism in animals. Am. Nat. 109, 61–82 (1975).Article 

Google Scholar 
Ghiselin, M. T. The evolution of hermaphroditism among animals. Quat. Rev. Biol. 44, 189–208 (1969).CAS 
Article 

Google Scholar 
Forsgren, E., Amundsen, T., Borg, Å. A. & Bjelvenmark, J. Unusually dynamic sex roles in a fish. Nature 429(6991), 551–554 (2004).ADS 
CAS 
Article 

Google Scholar 
Reichard, M., Polačik, M., Blažek, R. & Vrtílek, M. Female bias in the adult sex ratio of African annual fishes: Interspecific differences, seasonal trends and environmental predictors. Evol. Ecol. 28, 1105–1120 (2014).Article 

Google Scholar 
Lindström, K. Effects of resource distribution on sexual selection and the cost of reproduction in sand gobies. Am. Nat. 158(1), 64–74 (2001).Article 

Google Scholar 
Bartáková, V. et al. Strong population genetic structuring in an annual fish, Nothobranchius furzeri, suggests multiple savannah refugia in southern Mozambique. BMC Evol. Biol. 13, 196 (2013).Article 

Google Scholar 
Domínguez-Castanedo, O. Perceived mate competition risk influences the female mate choice and increases the reproductive effort in the annual killifish Millerichthys robustus. Ethol. Ecol. Evol. https://doi.org/10.1080/03949370.2021.1893827 (2021).Article 

Google Scholar 
Harrington, R. W. Oviparous hermaphroditic fish with internal self-fertilization. Science 134(3492), 1749–1750 (1961).ADS 
Article 

Google Scholar 
Tatarenkov, A. et al. Genetic subdivision and variation in selfing rates among Central American populations of the mangrove Rivulus, Kryptolebias marmoratus. J. Hered. 106(3), 276–284 (2015).CAS 
Article 

Google Scholar 
Black, P. M., Balthazart, J., Baillen, M. & Grober, S. M. Socially induced and rapid increases in aggression are inversely related to brain aromatase activity in a sex-changing fish, Lythrypnus dalli. Proc. R. Soc. B Biol. Sci. 275(1579), 2435–2440. https://doi.org/10.1098/rspb.2005.3210 (2005).Article 

Google Scholar 
Escobar, M. L. et al. Involvement of pro-apoptotic and pro-autophagic proteins in granulosa cell death. J. Cell. Biol. 1, 9–17 (2013).Article 

Google Scholar 
Matsuda-Minehata, F., Inoue, N., Goto, Y. & Manabe, N. The regulation of ovarian granulosa cell death by pro and anti-apoptotic molecules. J. Reprod. Dev. 52(6), 695–705 (2006).CAS 
Article 

Google Scholar 
Evans, A. G. et al. Identification of genes involved in apoptosis and dominant follicle development during follicular waves in cattle. Biol. Reprod. 70, 1475–1484 (2004).CAS 
Article 

Google Scholar 
Cardwell, R. J. & Liley, R. N. Hormonal control of sex and color change in the stoplight parrotfish, Sparisoma viride. Gen. Comp. Endocr. 81, 7–20 (1991).CAS 
Article 

Google Scholar 
Domínguez-Castanedo, O., Uribe, M. C. & Muñóz-Campos, T. M. Morphological patterns of cell death in ovarian follicles of primary and secondary growth and post-ovulatory follicle complex of the annual killifish Millerichthys robustus (Cyprinodontiformes: Cynolebiidae). J. Morp. 280(11), 1668–1681. https://doi.org/10.1002/jmor.21056 (2019).Article 

Google Scholar 
De Mitcheson, S. Y. & Liu, M. Functional hermaphroditism in teleosts. Fish Fish. 9, 1–43 (2008).Article 

Google Scholar 
Valdesalici, S., Domínguez-Castanedo, O. & Mosqueda-Cabrera, M. A. Patterns of reproductive behaviour in Millerichthys robustus (Cyprinodontiformes: Cynolebiidae). Int. J. Ichthyol. 22(4), 177–180 (2016).
Google Scholar 
Aguilar-Morales, M., Coutiño, B. B. & Rosales, S. P. Manual general de técnicas histológicas y citoquímicas. México, D. F. (Facultad de Ciencias, UNAM, 1996).Grier, H. J., Uribe, MC. & Patiño, R. The ovary, folliculogenesis, and oogenesis in teleosts. In 2. Reproductive Biology and Physiology of Fishes (Agnathans and Bony Fishes) (ed. Jamieson, B. G. M.). (Science Publishers, 2009).Domínguez-Castanedo, O. & Uribe, M. C. Ovarian structure, folliculogenesis and oogenesis of the annual killifish Millerichthys robustus (Cyprinodontiformes: Cynolebiidae). J. Morp. 280(3), 316–328. https://doi.org/10.1002/jmor.20945 (2019).Article 

Google Scholar 
Domínguez-Castanedo, O. & Uribe, M. C. Reproductive biology in males of the annual killifish Millerichthys robustus (Cyprinodontiformes: Cynolebiidae). Environ. Biol. Fish. 102(11), 1365–1375 (2019).Article 

Google Scholar 
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2019). http://www.R-project.org.Brooks, E. M. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9(2), 378–400 (2017).Article 

Google Scholar 
Hartig, F. DHARMa: Residual diagnostics for hierarchical (multi-level/mixed) regression models. In Theoretical Ecology, Germany. (University of Regensburg, 2021). More

Dollive, S. A tool kit for quantifying eukaryotic rRNA gene sequences from human microbiome samples. Genome Biol 13, 60 (2012).Article 

Google Scholar 
Pausan, M. R. Exploring the archaeome: Detection of archaeal signatures in the human body. Front. Microbiol 10, 2796 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Shkoporov, A. N. & Hill, C. Bacteriophages of the human gut: The “known unknown” of the microbiome. Cell Host Microbe 25, 195–209 (2019).CAS 
PubMed 
Article 

Google Scholar 
Clark, D. P., Pazdernik, N. J. & McGehee, M. R. Plasmids. in Molecular Biology, 712–748 (Elsevier, 2019). https://doi.org/10.1016/B978-0-12-813288-3.00023-9.Meinhardt, F., Schaffrath, R. & Larsen, M. Microbial linear plasmids. Appl. Microbiol. Biotechnol 47, 329–336 (1997).CAS 
PubMed 
Article 

Google Scholar 
Lacroix, B. & Citovsky, V. Transfer of DNA from bacteria to eukaryotes. MBio 7, 00863–16 (2016).Article 

Google Scholar 
Łobocka, M. B. Genome of bacteriophage P1. J. Bacteriol. 186, 7032–7068 (2004).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Roux, S., Enault, F., Hurwitz, B. L. & Sullivan, M. B. VirSorter: Mining viral signal from microbial genomic data. PeerJ 3, e985 (2015).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Spaziante, M., Oliva, A., Ceccarelli, G. & Venditti, M. What are the treatment options for resistant Klebsiella pneumoniae carbapenemase (KPC)-producing bacteria?. Expert Opin. Pharmacother. 21, 1781–1787 (2020).PubMed 
Article 

Google Scholar 
Kopotsa, K., Osei Sekyere, J. & Mbelle, N. M. Plasmid evolution in carbapenemase-producing Enterobacteriaceae: A review. Ann. N. Y. Acad. Sci. 1457, 61–91 (2019).CAS 
PubMed 
Article 
ADS 

Google Scholar 
Ogilvie, L. A., Firouzmand, S. & Jones, B. V. Evolutionary, ecological and biotechnological perspectives on plasmids resident in the human gut mobile metagenome. Bioengineered 3, 13–31 (2012).Article 

Google Scholar 
Jørgensen, T. S., Xu, Z., Hansen, M. A., Sørensen, S. J. & Hansen, L. H. Hundreds of circular novel plasmids and DNA elements identified in a rat cecum metamobilome. PLoS ONE 9, 87924 (2014).Article 
ADS 
CAS 

Google Scholar 
Kav, A. B. Insights into the bovine rumen plasmidome. Proc. Natl. Acad. Sci. 109, 5452–5457 (2012).CAS 
PubMed Central 
Article 
ADS 

Google Scholar 
Brown Kav, A. Unravelling plasmidome distribution and interaction with its hosting microbiome. Environ. Microbiol. 22, 32–44 (2020).PubMed 
Article 

Google Scholar 
Norman, J. M. et al. Disease-specific alterations in the enteric virome in inflammatory bowel disease. Cell 160, 447–460 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Krishnamurthy, S. R. & Wang, D. Origins and challenges of viral dark matter. Virus Res. 239, 136–142 (2017).CAS 
PubMed 
Article 

Google Scholar 
Clooney, A. G. et al. Whole-virome analysis sheds light on viral dark matter in inflammatory bowel disease. Cell Host. Microbe 26, 764-778.e5 (2019).CAS 
PubMed 
Article 

Google Scholar 
Sutton, T. D. S., Clooney, A. G. & Hill, C. Giant oversights in the human gut virome. Gut 69, 1357–1358 (2020).PubMed 
Article 

Google Scholar 
Zuo, T. Gut mucosal virome alterations in ulcerative colitis. Gut 68, 1169–1179 (2019).CAS 
PubMed 
Article 

Google Scholar 
Pasolli, E. et al. Extensive unexplored human microbiome diversity revealed by over 150,000 genomes from metagenomes spanning age, geography, and lifestyle. Cell 176, 649-662.e20 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Tamminen, M., Virta, M., Fani, R. & Fondi, M. Large-scale analysis of plasmid relationships through gene-sharing networks. Mol. Biol. Evol. 29, 1225–1240 (2012).CAS 
PubMed 
Article 

Google Scholar 
Angelakis, E. et al. Treponema species enrich the gut microbiota of traditional rural populations but are absent from urban individuals. New Microbes New Infect 27, 14–21 (2019).CAS 
PubMed 
Article 

Google Scholar 
Mackie, R. I. et al. Ecology of uncultivated oscillospira species in the rumen of cattle, sheep, and reindeer as assessed by microscopy and molecular approaches. Appl. Environ. Microbiol. 69, 6808–6815 (2003).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
Konikoff, T. & Gophna, U. Oscillospira: A central, enigmatic component of the human gut microbiota. Trends Microbiol. 24, 523–524 (2016).CAS 
PubMed 
Article 

Google Scholar 
Chen, Y. et al. High Oscillospira abundance indicates constipation and low BMI in the Guangdong Gut Microbiome Project. Sci. Rep. 10, (2020).Bushman, F. D. Multi-omic analysis of the interaction between clostridioides difficile infection and pediatric inflammatory bowel disease. Cell Host Microbe 28, 422–433 (2020).CAS 
PubMed 
Article 

Google Scholar 
Willing, B. P. et al. A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes. Gastroenterology 139, 1844–1854 (2010).PubMed 
Article 

Google Scholar 
Wills, E. S. et al. Fecal microbial composition of ulcerative colitis and Crohn’s disease patients in remission and subsequent exacerbation. PLoS ONE 9, e90981 (2014).PubMed 
PubMed Central 
Article 
ADS 
CAS 

Google Scholar 
Gevers, D. et al. The treatment-naive microbiome in new-onset Crohn’s disease. Cell Host Microbe 15, 382–392 (2014).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Halfvarson, J. Dynamics of the human gut microbiome in inflammatory bowel disease. Nat. Microbiol. 2, 17004 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Pascal, V. A microbial signature for Crohn’s disease. Gut 66, 813–822 (2017).CAS 
PubMed 
Article 

Google Scholar 
Nitzan, O., Elias, M., Chazan, B., Raz, R. & Saliba, W. Clostridium difficile and inflammatory bowel disease: Role in pathogenesis and implications in treatment. World J. Gastroenterol. 19, 7577–7585 (2013).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Clayton, E. M. et al. The vexed relationship between Clostridium difficile and inflammatory bowel disease: an assessment of carriage in an outpatient setting among patients in remission. Am. J. Gastroenterol. 104, 1162–1169 (2009).PubMed 
Article 
ADS 

Google Scholar 
Tariq, R. et al. Efficacy of fecal microbiota transplantation for recurrent C.Marcella, C. Systematic review: The global incidence of faecal microbiota transplantation-related adverse events from 2000 to 2020. Aliment. Pharmacol. Ther. https://doi.org/10.1111/apt.16148 (2020).Article 
PubMed 

Google Scholar 
Shkoporov, A. N. et al. The human gut virome is highly diverse, stable, and individual specific. Cell Host Microbe 26, 527-541.e5 (2019).CAS 
PubMed 
Article 

Google Scholar 
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Fraser-Liggett, C. Metagenomic analysis of the structure and function of the human gut microbiota in Crohn’s disease. Nat. Preced. [Internet] (2010).Barton, W. et al. The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level. Gut (2017).Mira-Pascual, L. Microbial mucosal colonic shifts associated with the development of colorectal cancer reveal the presence of different bacterial and archaeal biomarkers. J. Gastroenterol. 50, 167–179 (2015).CAS 
PubMed 
Article 
ADS 

Google Scholar 
Rampelli, S. Shotgun metagenomics of gut microbiota in humans with up to extreme longevity and the increasing role of xenobiotic degradation. mSystems 5, (2020).Monaghan, T. M. Metagenomics reveals impact of geography and acute diarrheal disease on the Central Indian human gut microbiome. Gut Microbes 12, 1752605 (2020).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Chu, D. M. Maturation of the infant microbiome community structure and function across multiple body sites and in relation to mode of delivery. Nat. Med. 23, 314–326 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
MD, D. G., K, F., C, C. & EL, C. Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort. Hum. Microbiome J. 12, (2019).Qian, Y. et al. Gut metagenomics-derived genes as potential biomarkers of Parkinson’s disease. Brain J. Neurol. 143, 2474–2489 (2020).Article 

Google Scholar 
Kao, D. Effect of oral capsule- vs colonoscopy-delivered fecal microbiota transplantation on recurrent clostridium difficile infection: A randomized clinical trial. JAMA 318, 1985–1993 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Nurk, S., Meleshko, D., Korobeynikov, A. & Pevzner, P. A. metaSPAdes: A new versatile metagenomic assembler. Genome Res. 27, 824–834 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinform. 11, 119 (2010).Article 
CAS 

Google Scholar 
Finn, R. D., Clements, J. & Eddy, S. R. HMMER web server: Interactive sequence similarity searching. Nucleic Acids Res. 39, W29–W37 (2011).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Guerin, E. et al. Biology and taxonomy of crAss-like bacteriophages, the most abundant virus in the human gut. (2018). https://doi.org/10.1101/295642.Grazziotin, A. L., Koonin, E. V. & Kristensen, D. M. Prokaryotic Virus Orthologous Groups (pVOGs): A resource for comparative genomics and protein family annotation. Nucleic Acids Res. 45, D491–D498 (2017).CAS 
PubMed 
Article 

Google Scholar 
Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Quinlan, A. R. & Hall, I. M. BEDTools: A flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Edgar, R. C. PILER-CR: Fast and accurate identification of CRISPR repeats. BMC Bioinform. 8, 18 (2007).Article 
CAS 

Google Scholar 
R Core Team. R: A Language and Environment for Statistical Computing. https://www.R-project.org/. (2019). Accessed Aug 2021–Mar 2022.Wickham, H. Reshaping Data with the reshape Package. J. Stat. Softw. 21, 1–20 (2007).Article 

Google Scholar 
Jari Oksanen et al. vegan: Community Ecology Package. (2019).McMurdie, P. J. & Holmes, S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE 8, e61217 (2013).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
Kassambara, A. ggpubr: ‘ggplot2’ based publication ready plots. (2019).Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag, 2016).MATH 
Book 

Google Scholar 
Gu, Z., Gu, L., Eils, R., Schlesner, M. & Brors, B. Circlize implements and enhances circular visualization in R. Bioinformatics 30, 2811–2812 (2014).CAS 
PubMed 
Article 

Google Scholar 
Flor M. chorddiag: Interactive Chord Diagrams [Internet]. (2020).Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Hulsen, T., Vlieg, J. & Alkema, W. BioVenn—A web application for the comparison and visualization of biological lists using area-proportional Venn diagrams. BMC Genom. 9, (2008).Stothard, P. & Wishart, D. S. Circular genome visualization and exploration using CGView. Bioinform. Oxf. Engl. 21, 537–539 (2005).CAS 
Article 

Google Scholar 
Seemann, T. Prokka: rapid prokaryotic genome annotation. Bioinform. Oxf. Engl. 30, 2068–2069 (2014).CAS 
Article 

Google Scholar 
Huerta-Cepas, J. et al. eggNOG 4.5: A hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences. Nucleic Acids Res. 44, D286–D293 (2016).CAS 
PubMed 
Article 

Google Scholar 
McArthur, A. G. et al. The comprehensive antibiotic resistance database. Antimicrob. Agents Chemother. 57, 3348–3357 (2013).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Li, W. & Godzik, A. Cd-hit: A fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22, 1658–1659 (2006).CAS 
PubMed 
Article 

Google Scholar  More

Fossey, D. & Harcourt, D. H. Feeding ecology of free-ranging mountain gorilla (Gorilla gorilla beringei). In Primate ecology (ed. Clutton-Brock, T. H.) 415–447 (Academy Press, New York, 1977).Watts, D. P. Composition and variability of mountain gorilla diets in the central Virungas. Am. J. Primatol. 7, 323–356 (1984).PubMed 
Article 

Google Scholar 
Watts, D. Comparative socio-ecology of gorillas. In Great Ape Societies (eds. McGrew, W. C., Marchant, L. F. & Nishida, T.) 16–28 (Cambridge University Press, Cambridge, 1986).Doran, D. M. & McNeilage, A. Gorilla ecology and behavior. Evol. Anthropol. 6, 120–131 (1988).Article 

Google Scholar 
Xue, Y. et al. Mountain gorilla genomes reveal the impact of long-term population decline and inbreeding. Science 348, 242–245 (2015).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Mittermeier, R. A., Rylands, A. B. & Wilson, D. E. Handbook of the mammals of the world. Primates Vol. 3 (Lynx Edicions, 2013).
Google Scholar 
Groves, C. Primate Taxonomy (Smithsonian Institution Press, 2001).
Google Scholar 
Cooksey, K. E. & Morgan, D. B. Gorilla (Gorilla). In The International encyclopedia of primatology, Vol. 1 (ed. Fuentes, A.) 472–477 (Wiley, Hoboken, 2017).McFarland, K. L. Ecology of cross river gorillas (Gorilla gorilla diehli) on Afi mountain, Cross River State, Nigeria. Ph.D. Dissertation. City University of New York, USA (2007).Rogers, M. E., Maisels, F., Wiliamson, E. A., Fernandez, M. & Tutin, C. E. G. Gorilla diet in the Lopé Reserve, Gabon: a nutritional analysis. Oecologia 84, 326–339 (1990).ADS 
Article 

Google Scholar 
van Casteren, A., Wright, E., Kupczik, K. & Robbins, M. M. Unexpected hard-object feeding in Western lowland gorillas. Am. J. Phys. Anthropol. 170, 433–438 (2019).PubMed 
Article 

Google Scholar 
Masi, S., Cipolletta, C. & Robbins, M. M. Western lowland gorillas (Gorilla gorilla gorilla) change their activity patterns in response to frugivory. Am. J. Primatol. 71, 91–100 (2009).PubMed 
Article 

Google Scholar 
Yamagiwa, J., Basabose, A. K., Kaleme, K. & Yumoto, T. Diet of grauer’s gorillas in montane forest of Kahuzi, Democratic Republic of Congo. Int. J. Primatol. 26, 1345–1373 (2005).Article 

Google Scholar 
Grueter, C. C. et al. Long-term temporal and spatial dynamics of food availability for endangered mountain gorillas in Volcanoes National Park, Rwanda. Am. J. Primatol. 75, 267–280 (2013).PubMed 
Article 

Google Scholar 
Ostrofsky, K. R. & Robbins, M. M. Fruit-feeding and activity patterns of mountain gorillas (Gorilla beringei beringei) in Bwindi Impenetrable National Park, Uganda. Am. J. Phys. Anthropol. 173, 3–20 (2020).PubMed 
Article 

Google Scholar 
Berthaume, M. A. Tooth cusp sharpness as a dietary correlate in great apes. Am. J. Phys. Anthropol. 153, 226–235 (2014).PubMed 
Article 

Google Scholar 
King, S. J. et al. Dental senescence in a long-lived primate links infant survival to rainfall. Proc. Natl. Acad. Sci. USA 102, 16579–16583 (2005).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Berthaume, M. A. & Schroer, K. Extant ape dental topography and its implications for reconstructing the emergence of early Homo. J. Hum. Evol. 112, 15–29 (2017).PubMed 
Article 

Google Scholar 
Sheine, W. S. & Kay, R. F. An analysis of chewed food particle size and its relationship to molar structure in the primates Cheirogaleus medius and Galago senegalensis and the insectivoran Tupaia glis. Am. J. Phys. Anthropol. 47, 15–20 (1977).Article 

Google Scholar 
Galbany, J., Estebaranz, F., Martínez, L. M. & Pérez-Pérez, A. Buccal dental microwear variability in extant African Hominoidea: taxonomy versus ecology. Primates 50, 221–230 (2009).PubMed 
Article 

Google Scholar 
Scott, R. S., Teaford, M. F. & Ungar, P. S. Dental microwear texture and anthropoid diets. Am. J. Phys. Anthropol. 147, 551–579 (2012).PubMed 
Article 

Google Scholar 
Teaford, M. F. & Oyen, O. J. In vivo and in vitro turnover in dental microwear. Am. J. Phys. Anhtropol. 80, 447–460 (1989).CAS 
Article 

Google Scholar 
Stuhlträger, J. et al. Dental wear patterns reveal dietary ecology and season of death in a historical chimpanzee population. PLoS ONE 16, e0251309 (2021).PubMed 
PubMed Central 
Article 

Google Scholar 
Elgart, A. A. Dental wear, wear rate, and dental disease in the African apes. Am. J. Primatol. 72, 481–491 (2010).PubMed 

Google Scholar 
Berthaume, M. A. Food mechanical properties and dietary ecology. Am. J. Phys. Anhtropol. 159, 79–104 (2016).Article 

Google Scholar 
Galbany, J. et al. Tooth wear and feeding ecology in mountain gorillas from Volcanoes National Park, Rwanda. Am. J. Phys. Anhtropol. 159, 457–465 (2016).Article 

Google Scholar 
Janis, C. M. The correlation between diet and dental wear in herbivorous mammals, and its relationship to the determination of diets of extinct species, in Evolutionary paleobiology of behavior and coevolution (ed. Boucot, A. J.) 241–259 (Elsevier, Amsterdam, 1990).Knight-Sadler, J. & Fiorenza, L. Tooth wear inclination in great ape molars. Folia Primatol. 88, 223–236 (2017).Article 

Google Scholar 
Kullmer, O. et al. Technical note: Occlusal fingerprint analysis: Quantification of tooth wear pattern. Am. J. Phys. Anthropol. 139, 600–605 (2009).PubMed 
Article 

Google Scholar 
Fiorenza, L. et al. Molar macrowear reveals Neanderthal eco-geographical dietary variation. PLoS ONE 6, e14769 (2011).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Fiorenza, L., Benazzi, S., Oxilia, G. & Kullmer, O. Functional relationship between dental macrowear and diet in Late Pleistocene and recent modern human populations. Int. J. Osteoarchaeol. 28, 153–161 (2018).Article 

Google Scholar 
Fiorenza, L. et al. The functional role of the Carabelli trait in early and late hominins. J. Hum. Evol. 145, 102816 (2020).PubMed 
Article 

Google Scholar 
Fiorenza, L. & Kullmer, O. Occlusion in an adult male gorilla with a supernumerary maxillary premolar. Int. J. Primatol. 37, 762–777 (2016).Article 

Google Scholar 
Kullmer, O., Menz, U., & Fiorenza, L. Occlusal fingerprint analysis (OFA) reveal dental occlusal behaviour in primate teeth. In T. Martin & W. von Koenigswald (Eds.), T Martin, W von Koenigswald, K-H Südekum), Mammalian teeth: form and function. (pp. 25–43). Munich, Germany: Dr. F. Pfeil (2020)Stuhlträger, J. et al. Dental wear patterns reveal dietary ecology and season of death in a historical chimpanzee population. PLoS ONE 16, e0251309 (2021).PubMed 
PubMed Central 
Article 

Google Scholar 
Fiorenza, L., Benazzi, S., Estalrrich, A., & Kullmer, O. Diet and cultural diversity in Neanderthals and modern humans from dental macrowear analyses. In C. Schmidt & J. T. Watson (Eds.), Dental wear in evolutionary and biocultural contexts (pp. 39–72). London, UK: Academic Press (2020).M’Kirera, F. & Ungar, P. S. Occlusal relief changes with molar wear in Pan troglodytes troglodytes and Gorilla gorilla gorilla. Am. J. Primatol. 60, 31–41 (2003).PubMed 
Article 

Google Scholar 
Galbany, J. et al. Age-related tooth wear differs between forest and savanna primates. PLoS ONE 9, e94938 (2014).ADS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Leigh, S. R. & Shea, B. T. Ontogeny and the evolution of adult body size dimorphism in apes. Am. J. Primatol. 36, 37–60 (1995).PubMed 
Article 

Google Scholar 
Watts, D. P. Environmental influences on mountain gorilla time budgets. Am. J. Primatol. 15, 195–211 (1988).PubMed 
Article 

Google Scholar 
Doran, D. M. et al. Western lowland gorilla diet and resource availability: New evidence, cross-site comparisons, and reflections on indirect sampling methods. Am. J. Primatol. 58, 91–116 (2002).PubMed 
Article 

Google Scholar 
Zanolli, C. et al. Evidence of increased hominid diversity in the Early and Middle Pleistocene of Indonesia. Nat. Ecol. Evol. 3, 755–764 (2019).PubMed 
Article 

Google Scholar 
Krueger, K. L., Scott, J. R., Kay, R. F. & Ungar, P. S. Dental microwear textures of “phase I” and “phase II” facets. Am. J. Phys. Anthropol. 137, 485–490 (2008).PubMed 
Article 

Google Scholar 
Kay, R. F. & Hiiemae, K. M. Jaw movement and tooth use in recent and fossil primates. Am. J. Phys. Anthropol. 40, 227–256 (1974).CAS 
PubMed 
Article 

Google Scholar 
Wall, C. E., Vinyard, C. J., Johnson, K. R., Williams, S. H. & Hylander, W. L. Phase II jaw movements and masseter muscle activity during chewing in Papio anubis. Am. J. Phys. Anthropol. 129, 215–224 (2006).PubMed 
Article 

Google Scholar 
Glowacka, H. et al. Toughness of the Virunga mountain gorilla (Gorilla beringei beringei) diet across an altitudinal gradient. Am. J. Primatol. 79, e22661 (2017).Article 

Google Scholar 
Cooper, J. E. & Hull, G. Gorilla pathology and health (Academic Press, 2017).
Google Scholar 
Hammerton, R., Hunt, K. A. & Riley, L. M. An investigation into keeper opinions of great apes diet and abnormal behaviour. J. Zoo Aquar. Res. 7, 170–178 (2019).
Google Scholar 
Kay, R. F. Mastication, molar tooth structure and diet in primates. Ph.D. thesis, Yale University, New Haven, CT (1973).Smith, B. H. Patterns of molar wear in hunter-gatherers and agriculturalists. Am. J. Phys. Anhtropol. 63, 39–56 (1984).CAS 
Article 

Google Scholar 
Maier, W. & Schneck, G. Konstruktionsmorphologische Untersuchungen am Gebiß der hominoiden Primaten. Z. Morphol. Anthropol. 72, 127–169 (1981).CAS 
PubMed 
Article 

Google Scholar 
Fiorenza, L., Benazzi, S., Tausch, J., Kullmer, O. & Schrenk, F. Identification reassessment of the isolated tooth Krapina D58 through Occlusal Fingerprint Analysis. Am. J. Phys. Anthropol. 143, 306–312 (2010).PubMed 
Article 

Google Scholar 
Kullmer, O., Huck, M., Engel, K., Schrenk, F. & Bromage, T. Hominid Tooth Pattern Database (HOTPAD) derived from optical 3D topometry. In Three-dimensional imaging in paleoanthropology and prehistoric archaeology (eds. Mafart, B. & Delingette, H.) 71–82 (Acts of the XIVth UISPP Congress, BAR Int. Ser.1049, 2002).Hammer, Ø. & Harper, D. Paleontological data analysis (Blackwell Publishing, 2006).
Google Scholar 
Brown, M. B. & Forsythe, A. B. Robust tests for the equality of variances. J. Am. Stat. Assoc. 69, 364–367 (1974).MATH 
Article 

Google Scholar 
Noguchi, K. & Gel, Y. R. Combination of Levene-type tests and a finite-intersection method for testing equality of variances against ordered alternatives. J. Nonparam. Stat. 22, 897–913 (2010).MathSciNet 
MATH 
Article 

Google Scholar 
Gastwirth, J. L., et al. Lawstat: tools for biostatistics, public policy, and law. R package version 3.4. https://CRAN.R-project.org/package=lawstat (2020).R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. (2021)Oksanen, J. et al. Vegan: Community Ecology Package. R package version 2.5–7. https://CRAN.R-project.org/package=vegan (2020).Martinez Arbizu, P. PairwiseAdonis: pairwise multilevel comparison using adonis. R package version 0.4 (2017).Hammer, Ø., Harper, D. A. T. & Ryan, P. D. PAST: Palaeontological statistics software package for education and data analysis. Palaeontol. Electron. 4, 9 (2001).
Google Scholar  More

Lund, E. M., Armstrong, P. J., Kirk, C. A. & Klausner, J. S. Prevalence and risk factors for obesity in adult dogs from private US veterinary practices. Int. J. Appl. Res. Vet. Med. 4(2), 177 (2006).
Google Scholar 
German, A. J. The growing problem of obesity in dogs and cats. J. Nutr. 136(7), 1940S-1946S (2006).CAS 
PubMed 
Article 

Google Scholar 
Courcier, E. A., Thomson, R. M., Mellor, D. J. & Yam, P. S. An epidemiological study of environmental factors associated with canine obesity. J. Small Anim. Pract. 51(7), 362–367 (2010).CAS 
PubMed 
Article 

Google Scholar 
Mao, J., Xia, Z., Chen, J. & Yu, J. Prevalence and risk factors for canine obesity surveyed in veterinary practices in Beijing, China. Prev. Vet. Med. 112(3–4), 438–442 (2013).PubMed 
Article 

Google Scholar 
Payan-Carreira, R., Sargo, T. & Nascimento, M. M. Canine obesity in Portugal: Perceptions on occurrence and treatment determinants. Acta Vet. Scand. 57(1), 1–1 (2015).Article 

Google Scholar 
Chandler, M. et al. Obesity and associated comorbidities in people and companion animals: A one health perspective. J. Comp. Pathol. 156(4), 296–309 (2017).CAS 
PubMed 
Article 

Google Scholar 
Montoya-Alonso, J. A. et al. Prevalence of canine obesity, obesity-related metabolic dysfunction, and relationship with owner obesity in an obesogenic region of Spain. Front. Vet. Sci. 4, 59 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
Muñoz-Prieto, A. et al. European dog owner perceptions of obesity and factors associated with human and canine obesity. Sci. Rep. 8(1), 1–10 (2018).Article 
CAS 

Google Scholar 
Marshall, W. G., Bockstahler, B. A., Hulse, D. A. & Carmichael, S. A review of osteoarthritis and obesity: Current understanding of the relationship and benefit of obesity treatment and prevention in the dog. Vet. Comp. Orthop. Traumatol. 22(05), 339–345 (2009).CAS 
PubMed 
Article 

Google Scholar 
Zoran, D. L. Obesity in dogs and cats: A metabolic and endocrine disorder. Vet. Clin. N. Am. Small Anim. Pract. 40(2), 221–239 (2010).Article 

Google Scholar 
Tvarijonaviciute, A. et al. Obesity-related metabolic dysfunction in dogs: A comparison with human metabolic syndrome. BMC Vet. Res. 8(1), 147 (2012).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Hoenig, M. Comparative aspects of human, canine, and feline obesity and factors predicting progression to diabetes. Vet. Sci. 1(2), 121–135 (2014).Article 

Google Scholar 
Yam, P. S. et al. Impact of canine overweight and obesity on health-related quality of life. Prev. Vet. Med. 127, 64–69 (2016).CAS 
PubMed 
Article 

Google Scholar 
Sandøe, P., Palmer, C., Corr, S., Astrup, A. & Bjørnvad, C. R. Canine and feline obesity: A One Health perspective. Vet. Rec. 175(24), 610–616 (2014).PubMed 
Article 

Google Scholar 
Salt, C., Morris, P. J., Wilson, D., Lund, E. M. & German, A. J. Association between life span and body condition in neutered client-owned dogs. J. Vet. Intern. Med. 33(1), 89–99 (2019).PubMed 

Google Scholar 
Switonski, M. & Mankowska, M. Dog obesity—The need for identifying predisposing genetic markers. Res. Vet. Sci. 95(3), 831–836 (2013).CAS 
PubMed 
Article 

Google Scholar 
Mankowska, M. et al. Sequence analysis of three canine adipokine genes revealed an association between TNF polymorphisms and obesity in Labrador dogs. Anim. Genet. 47(2), 245–249 (2016).CAS 
PubMed 
Article 

Google Scholar 
Raffan, E. et al. A deletion in the canine POMC gene is associated with weight and appetite in obesity-prone Labrador retriever dogs. Cell Metab. 23(5), 893–900 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Suchodolski, J. S. Intestinal microbiota of dogs and cats: A bigger world than we thought. Anim. Pract. 41(2), 261–272 (2011).
Google Scholar 
Barko, P. C., McMichael, M. A., Swanson, K. S. & Williams, D. A. The gastrointestinal microbiome: A review. J. Vet. Intern. Med. 32(1), 9–25 (2018).CAS 
PubMed 
Article 

Google Scholar 
Turnbaugh, P. J. et al. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 444(7122), 1027–1031 (2006).PubMed 
Article 
ADS 

Google Scholar 
Bäckhed, F. et al. The gut microbiota as an environmental factor that regulates fat storage. Proc. Natl. Acad. Sci. 101(44), 15718–15723 (2004).PubMed 
PubMed Central 
Article 
ADS 
CAS 

Google Scholar 
Ghazalpour, A., Cespedes, I., Bennett, B. J. & Allayee, H. Expanding role of gut microbiota in lipid metabolism. Curr. Opin. Lipidol. 27(2), 141 (2016).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Losasso, C. et al. Assessing the influence of vegan, vegetarian and omnivore oriented westernized dietary styles on human gut microbiota: A cross sectional study. Front. Microbiol. 9, 317 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Pizarroso, N. A., Fuciños, P., Gonçalves, C., Pastrana, L. & Amado, I. R. A Review on the role of food-derived bioactive molecules and the microbiota—Gut–brain axis in satiety regulation. Nutrients 13(2), 632. https://doi.org/10.3390/nu13020632 (2021).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
Boulangé, C. L., Neves, A. L., Chilloux, J., Nicholson, J. K. & Dumas, M. E. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 8(1), 1–12 (2016).Article 
CAS 

Google Scholar 
Ley, R. E. et al. Obesity alters gut microbial ecology. Proc. Natl. Acad. Sci. USA 102(31), 11070–11075 (2005).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
Ley, R. E., Turnbaugh, P. J., Klein, S. & Gordon, J. I. Human gut microbes associated with obesity. Nature 444(7122), 1022–1023 (2006).CAS 
PubMed 
Article 
ADS 

Google Scholar 
Zhi, C. et al. Connection between gut microbiome and the development of obesity. Eur. J. Clin. Microbiol. Infect. Dis. 38(11), 1987–1998 (2019).PubMed 
Article 

Google Scholar 
Huang, Z., Pan, Z., Yang, R., Bi, Y. & Xiong, X. The canine gastrointestinal microbiota: Early studies and research frontiers. Gut Microbes 11(4), 635–654 (2020).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Swanson, K. S. et al. Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice. ISME J. 5(4), 639–649 (2011).CAS 
PubMed 
Article 

Google Scholar 
Coelho, L. P. et al. Similarity of the dog and human gut microbiomes in gene content and response to diet. Microbiome 6(1), 1–11 (2018).Article 

Google Scholar 
Hand, D., Wallis, C., Colyer, A. & Penn, C. W. Pyrosequencing the canine faecal microbiota: Breadth and depth of biodiversity. PLoS ONE 8(1), e53115 (2013).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
Handl, S. et al. Faecal microbiota in lean and obese dogs. FEMS Microbiol. Ecol. 84(2), 332–343 (2013).CAS 
PubMed 
Article 

Google Scholar 
Park, H. J. et al. Association of obesity with serum leptin, adiponectin, and serotonin and gut microflora in beagle dogs. J. Vet. Intern. Med. 29(1), 43–50 (2015).PubMed 
Article 

Google Scholar 
Park, H. J. et al. Fecal microbiota analysis of obese dogs with underlying diseases: A pilot study. Korean J. Vet. Res. 55(3), 205–208 (2015).Article 

Google Scholar 
Beloshapka, A. N., Forster, G. M., Holscher, H. D., Swanson, K. S. & Ryan, E. P. Fecal microbial communities of overweight and obese client-owned dogs fed cooked bean powders as assessed by 454-pyrosequencing. J. Vet. Sci. Technol. 7(366), 2 (2016).
Google Scholar 
Li, Q., Lauber, C. L., Czarnecki-Maulden, G., Pan, Y. & Hannah, S. S. Effects of the dietary protein and carbohydrate ratio on gut microbiomes in dogs of different body conditions. MBio 8(1), e01703-e1716 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
Kieler, I. N. et al. Gut microbiota composition may relate to weight loss rate in obese pet dogs. Vet. Med. Sci. 3(4), 252–262 (2017).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Forster, G. M. et al. A comparative study of serum biochemistry, metabolome and microbiome parameters of clinically healthy, normal weight, overweight, and obese companion dogs. Top. Companion Anim. Med. 33(4), 126–135 (2018).PubMed 
Article 

Google Scholar 
Salas-Mani, A. et al. Fecal microbiota composition changes after a BW loss diet in beagle dogs. J. Anim. Sci. 96(8), 3102–3111 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Alexander, C. et al. Effects of prebiotic inulin-type fructans on blood metabolite and hormone concentrations and faecal microbiota and metabolites in overweight dogs. Br. J. Nutr. 120(6), 711–720 (2018).CAS 
PubMed 
Article 

Google Scholar 
Herstad, K. M. et al. A diet change from dry food to beef induces reversible changes on the faecal microbiota in healthy, adult client-owned dogs. BMC Vet. Res. 13(1), 147 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Kim, Y. S., Unno, T., Kim, B. Y. & Park, M. S. Sex differences in gut microbiota. World J. Mens Health 38(1), 48–60 (2020).PubMed 
Article 

Google Scholar 
Xu, J. et al. The response of canine faecal microbiota to increased dietary protein is influenced by body condition. BMC Vet. Res. 13(1), 374 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Masuoka, H. et al. Transition of the intestinal microbiota of dogs with age. PLoS ONE 12, e0181739 (2016).Article 
CAS 

Google Scholar 
Mizukami, K. et al. Age-related analysis of the gut microbiome in a purebred dog colony. FEMS Microbiol. Lett. 366(8), fnz095 (2019).CAS 
PubMed 
Article 

Google Scholar 
Alessandri, G. et al. Metagenomic dissection of the canine gut microbiota: Insights into taxonomic, metabolic and nutritional features. Environ. Microbiol. 21(4), 1331–1343 (2019).CAS 
PubMed 
Article 

Google Scholar 
Xu, H. et al. Oral administration of compound probiotics improved canine feed intake, weight gain, immunity and intestinal microbiota. Front. Immunol. 10, 666 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Reddy, K. E. et al. Impact of breed on the fecal microbiome of dogs under the same dietary condition. J. Microbiol. Biotechnol. 29(12), 1947–1956 (2019).CAS 
PubMed 
Article 

Google Scholar 
O’Neill, D. G., Church, D. B., McGreevy, P. D., Thomson, P. C. & Brodbelt, D. C. Prevalence of disorders recorded in dogs attending primary-care veterinary practices in England. PLoS ONE 9(3), e90501 (2014).PubMed Central 
Article 
ADS 

Google Scholar 
Vilson, Å. et al. Disentangling factors that shape the gut microbiota in German Shepherd dogs. PLoS ONE 13(3), e0193507 (2018).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Song, S. J. et al. Cohabiting family members share microbiota with one another and with their dogs. Elife 2, e00458 (2013).PubMed 
PubMed Central 
Article 

Google Scholar 
Guard, B. C. et al. Characterization of the fecal microbiome during neonatal and early pediatric development in puppies. PLoS ONE 12(4), e0175718 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Greer, K. A., Canterberry, S. C. & Murphy, K. E. Statistical analysis regarding the effects of height and weight on life span of the domestic dog. Res. Vet. Sci. 82(2), 208–214 (2007).PubMed 
Article 

Google Scholar 
Fleming, J. M., Creevy, K. E. & Promislow, D. E. L. Mortality in North American dogs from 1984 to 2004: An investigation into age-, size-, and breed-related causes of death. J. Vet. Int. Med. 25(2), 187–198 (2011).CAS 
Article 

Google Scholar 
Oberbauer, A. M., Belanger, J. & Famula, T. R. A review of the impact of neuter status on expression of inherited conditions in dogs. Front. Vet. Sci. 6, 397 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Pilla, R. & Suchodolski, J. S. The role of the canine gut microbiome and metabolome in health and gastrointestinal disease. Front. Vet. Sci. 6, 498 (2020).PubMed 
PubMed Central 
Article 

Google Scholar 
Bermingham, E. N., Maclean, P., Thomas, D. G., Cave, N. J. & Young, W. Key bacterial families (Clostridiaceae, Erysipelotrichaceae and Bacteroidaceae) are related to the digestion of protein and energy in dogs. PeerJ 5, e3019 (2017).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Kim, J., An, J. U., Kim, W., Lee, S. & Cho, S. Differences in the gut microbiota of dogs (Canis lupus familiaris) fed a natural diet or a commercial feed revealed by the Illumina MiSeq platform. Gut Pathog. 9, 68–68 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
Mori, A. et al. Comparison of the effects of four commercially available prescription diet regimens on the fecal microbiome in healthy dogs. J. Vet. Med. Sci. 81, 1783–1790 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Apper, E. et al. Relationships between gut microbiota, metabolome, body weight, and glucose homeostasis of obese dogs fed with diets differing in prebiotic and protein content. Microorganisms 8(4), 513 (2020).CAS 
PubMed Central 
Article 

Google Scholar 
Wernimont, S. M. et al. The effects of nutrition on the gastrointestinal microbiome of cats and dogs: Impact on health and disease. Front. Microbiol. https://doi.org/10.3389/fmicb.2020.01266 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Schauf, S. et al. Effect of dietary fat to starch content on fecal microbiota composition and activity in dogs. J. Anim. Sci. 96(9), 3684–3698 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Bresciani, F. et al. Effect of an extruded animal protein-free diet on fecal microbiota of dogs with food-responsive enteropathy. J. Vet. Intern. Med. 32(6), 1903–1910 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Madsen, L., Myrmel, L. S., Fjære, E., Liaset, B. & Kristiansen, K. Links between dietary protein sources, the gut microbiota, and obesity. Front. Physiol. 8, 1047 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
EU law and publications. Regulation (EC) No 767/2009 of the European parliament and of the council of 13 July 2009 on the placing on the market and use of feed, amending European Parliament and council regulation (EC) No 1831/2003 and repealing council directive 79/373/EEC, commission directive 80/511/EEC, council directives 82/471/EEC, 83/228/EEC, 93/74/EEC, 93/113/EC and 96/25/EC and commission decision 2004/217/EC. OJEC L229, 1–28 (2009).
Google Scholar 
Paßlack, N. et al. Impact of the dietary inclusion of dried food residues on the apparent nutrient digestibility and the intestinal microbiota of dogs. Arch. Anim. Nutr. 75(4), 311–327 (2021).PubMed 
Article 

Google Scholar 
Macedo, H. T. et al. Weight-loss in obese dogs promotes important shifts in fecal microbiota profile to the extent of resembling microbiota of lean dogs. Anim. Microbiome 4(1), 1–13 (2022).Article 
CAS 

Google Scholar 
Zhang, X. et al. Human gut microbiota changes reveal the progression of glucose intolerance. PLoS ONE 8(8), e71108 (2013).CAS 
PubMed 
PubMed Central 
Article 
ADS 

Google Scholar 
Remely, M. et al. Microbiota and epigenetic regulation of inflammatory mediators in type 2 diabetes and obesity. Benef. Microbes 5(1), 33–43 (2014).CAS 
PubMed 
Article 

Google Scholar 
Tamanai-Shacoori, Z. et al. Roseburia spp.: A marker of health?. Future Microbiol. 12(2), 157–170 (2017).CAS 
PubMed 
Article 

Google Scholar 
Herrmann, E. et al. RNA-based stable isotope probing suggests Allobaculum spp. as particularly active glucose assimilators in a complex murine microbiota cultured in vitro. BioMed Res. Int. 5, 1. https://doi.org/10.1155/2017/1829685 (2017).CAS 
Article 

Google Scholar 
Wang, J., Wang, P., Li, D., Hu, X. & Chen, F. Beneficial effects of ginger on prevention of obesity through modulation of gut microbiota in mice. Eur. J. Nutr. 59(2), 699–718 (2020).CAS 
PubMed 
Article 

Google Scholar 
Garcia-Mazcorro, J. F., Ivanov, I., Mills, D. A. & Noratto, G. Influence of whole-wheat consumption on fecal microbial community structure of obese diabetic mice. PeerJ 4, e1702 (2016).PubMed 
PubMed Central 
Article 

Google Scholar 
Wang, K. et al. Parabacteroides distasonis alleviates obesity and metabolic dysfunctions via production of succinate and secondary bile acids. Cell Rep. 26(1), 222–235 (2019).CAS 
PubMed 
Article 

Google Scholar 
Wu, T. R. et al. Gut commensal Parabacteroides goldsteinii plays a predominant role in the anti-obesity effects of polysaccharides isolated from Hirsutella sinensis. Gut 68(2), 248–262 (2019).CAS 
PubMed 
Article 

Google Scholar 
Karl, J. P. et al. Effects of psychological, environmental and physical stressors on the gut microbiota. Front. Microbiol. 9, 2013 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Gallè, F. et al. Exploring the association between physical activity and gut microbiota composition: a review of current evidence. Ann. Ig. Med. Prev. Comunita 31(6), 582–589 (2019).
Google Scholar 
Laflamme, D. R. P. C. Development and validation of a body condition score system for dogs. Canine Practice (Santa Barbara, Calif.: 1990, USA) (1997).FEDIAF. Nutritional Guidelines for Complete and Complementary Pet Food for Cats and Dogs https://fediaf.org/self-regulation/nutrition.html#guidelines (2021).Klindworth, A. et al. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 41(1), e1–e1 (2013).CAS 
PubMed 
Article 

Google Scholar 
Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7(5), 335–336 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2018).
Google Scholar 
Lun, A. T., McCarthy, D. J. & Marioni, J. C. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with bioconductor. F1000Research 5, 2122 (2016).PubMed 
PubMed Central 

Google Scholar 
Gong, W., Kwak, I. Y., Pota, P., Koyano-Nakagawa, N. & Garry, D. J. DrImpute: Imputing dropout events in single cell RNA sequencing data. BMC Bioinform. 19(1), 1–10 (2018).Article 
CAS 

Google Scholar 
Quast, C. et al. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 41(D1), D590–D596 (2012).PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Finotello, F., Mastrorilli, E. & Di Camillo, B. Measuring the diversity of the human microbiota with targeted next-generation sequencing. Brief. Bioinform. 19(4), 679–692 (2018).PubMed 

Google Scholar 
Oksanen, J. et al. vegan: Community Ecology Package. Software http://CRAN.R-project.org/package=vegan (2012). More

Westoby, M. & Wright, I. J. Land-plant ecology on the basis of functional traits. Trends Ecol. Evol. 21, 261–268 (2006).Article 

Google Scholar 
Chown, S. L. & Gaston, K. J. Body size variation in insects: a macroecological perspective. Biol. Rev. Camb. Philos. Soc. 85, 139–169 (2010).Article 

Google Scholar 
Parr, C. L. et al. GlobalAnts: a new database on the geography of ant traits (Hymenoptera: Formicidae). Insect Conserv. Divers. 10, 5–20 (2017).Article 

Google Scholar 
Wolff, J. O., Wierucka, K., Uhl, G. & Herberstein, M. E. Building behavior does not drive rates of phenotypic evolution in spiders. Proceedings of the National Academy of Sciences 118, e2102693118 (2021).CAS 
Article 

Google Scholar 
Le Boulch, M., Déhais, P., Combes, S. & Pascal, G. The MACADAM database: a MetAboliC pAthways DAtabase for Microbial taxonomic groups for mining potential metabolic capacities of archaeal and bacterial taxonomic groups. Database 2019 (2019).Madin, J. S. et al. A synthesis of bacterial and archaeal phenotypic trait data. Scientific Data 7, 170 (2020).CAS 
Article 

Google Scholar 
Lowe, E. C., Wolff, J. O. & Aceves-Aparicio, A. Towards establishment of a centralized spider traits database. The Journal of Arachnology (2020).Díaz, S. et al. The global spectrum of plant form and function. Nature 529, 167–171 (2016).ADS 
Article 

Google Scholar 
Mizerek, T. L., Baird, A. H. & Madin, J. S. Species traits as indicators of coral bleaching. Coral Reefs 37, 791–800 (2018).ADS 
Article 

Google Scholar 
De Meester, G. & Huyghe, K. & Van Damme, R. Brain size, ecology and sociality: a reptilian perspective. Biol. J. Linn. Soc. Lond. 126, 381–391 (2019).Article 

Google Scholar 
Cohen, J. M., Lajeunesse, M. J. & Rohr, J. R. A global synthesis of animal phenological responses to climate change. Nat. Clim. Chang. 8, 224–228 (2018).ADS 
Article 

Google Scholar 
Makarieva, A. M. et al. Mean mass-specific metabolic rates are strikingly similar across life’s major domains: Evidence for life’s metabolic optimum. Proceedings of the National Academy of Sciences 105, 16994 (2008).ADS 
CAS 
Article 

Google Scholar 
Gallagher, R. V. et al. Open Science principles for accelerating trait-based science across the Tree of Life. Nat Ecol Evol 4, 294–303 (2020).Article 

Google Scholar 
R Core Team. A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. (2020).Chamberlain, S. A. & Szöcs, E. taxize: taxonomic search and retrieval in R [version 2; peer review: 3 approved]. F1000Res. 2, (2013).Pebesma, E., Mailund, T. & Hiebert, J. Measurement Units in R. R J. 8, 486–494 (2016).Article 

Google Scholar 
Hiebert, J. udunits-2 bindings for R. (2016).Iwaniuk, A. N. & Nelson, J. E. Can endocranial volume be used as an estimate of brain size in birds? Canadian Journal of Zoology-Revue Canadienne De Zoologie 80, 16–23 (2002).Article 

Google Scholar 
Taylor, G. M., Nol, E. & Boire, D. Brain regions and encephalization in anurans: adaptation or stability? Brain Behav. Evol. 45, 96–109, https://doi.org/10.1159/000113543 (1995).CAS 
Article 
PubMed 

Google Scholar 
McLean, D. J. AnimalTraits (v1.0.7). Zenodo. https://doi.org/10.5281/zenodo.6468938 (2022).Christian, K. & Conley, K. Activity and Resting Metabolism of Varanid Lizards Compared With Typical Lizards. Aust. J. Zool. 42, 185–193, https://doi.org/10.1071/ZO9940185 (1994).Article 

Google Scholar 
Hadley, N. F., Ahearn, G. A. & Howarth, F. G. Water and metabolic relations of cave-adapted and epigean lycosid spiders in Hawaii. J. Arachnol., 215–222 (1981).Wang, L. C., Jones, D. L., MacArthur, R. A. & Fuller, W. A. Adaptation to cold: energy metabolism in an atypical lagomorph, the arctic hare (Lepus arcticus). Can. J. Zool. 51, 841–846, https://doi.org/10.1139/z73-125 (1973).CAS 
Article 
PubMed 

Google Scholar 
Nevo, E. & Shkolnik, A. Adaptive metabolic variation of chromosome forms in mole rats, Spalax. Experientia 30, 724–726, https://doi.org/10.1007/bf01924150 (1974).CAS 
Article 
PubMed 

Google Scholar 
Haim, A. Adaptive variations in heat production within Gerbils (genus Gerbillus) from different habitats. Oecologia 61, 49–52, https://doi.org/10.1007/bf00379087 (1984).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Kamel, S. & Gatten, R. E. J. Aerobic and Anaerobic Activity Metabolism of Limbless and Fossorial Reptiles. Physiol. Zool. 56, 419–429, https://doi.org/10.1086/physzool.56.3.30152607 (1983).Article 

Google Scholar 
Gatten, R. E. Jr. Aerobic metabolism in snapping turtles, Chelydra serpentina, after thermal acclimation. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 61, 325–337, https://doi.org/10.1016/0300-9629(78)90116-0 (1978).Article 

Google Scholar 
Coelho, J. R. & Moore, A. J. Allometry of resting metabolic rate in cockroaches. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 94, 587–590, https://doi.org/10.1016/0300-9629(89)90598-7 (1989).CAS 
Article 

Google Scholar 
Lighton, J. & Garrigan, D. Ant breathing: testing regulation and mechanism hypotheses with hypoxia. J. Exp. Biol. 198, 1613–1620 (1995).CAS 
Article 

Google Scholar 
Pettit, T. N., Ellis, H. I. & Whittow, G. C. Basal metabolic rate in tropical seabirds. The Auk 102, 172–174, https://doi.org/10.2307/4086838 (1985).Article 

Google Scholar 
Bozinovic, F. & Contreras, L. C. Basal rate of metabolism and temperature regulation of two desert herbivorous octodontid rodents: Octomys mimax and Tympanoctomys barrerae. Oecologia 84, 567–570, https://doi.org/10.1007/bf00328175 (1990).ADS 
Article 
PubMed 

Google Scholar 
Morrison, P. & Middleton, E. H. Body temperature and metabolism in the pigmy marmoset. Folia Primatol. 6, 70–82, https://doi.org/10.1159/000155068 (1967).CAS 
Article 

Google Scholar 
Bartholomew, G. A. & Casey, T. M. Body temperature and oxygen consumption during rest and activity in relation to body size in some tropical beetles. J. Therm. Biol. 2, 173–176, https://doi.org/10.1016/0306-4565(77)90026-2 (1977).Article 

Google Scholar 
Cortés, A., Báez, C., Rosenmann, M. & Pino, C. Body temperature, activity cycle and metabolic rate in a small nocturnal Chilean lizard, Garthia gaudichaudi (Sauria: Gekkonidae). Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 109, 967–973, https://doi.org/10.1016/0300-9629(94)90245-3 (1994).Article 

Google Scholar 
Leitner, P. & Nelson, J. E. Body temperature, oxygen consumption and heart rate in the Australian false vampire bat, Macroderma gigas. Comp. Biochem. Physiol. 21, 65–74, https://doi.org/10.1016/0010-406X(67)90115-6 (1967).CAS 
Article 
PubMed 

Google Scholar 
Whittow, G. C., Gould, E. & Rand, D. Body temperature, oxygen consumption, and evaporative water loss in a primitive insectivore, the moon rat, Echinosorex gymnurus. J. Mammal. 58, 233–235, https://doi.org/10.2307/1379582 (1977).CAS 
Article 
PubMed 

Google Scholar 
Weathers, W. W., Koenig, W. D. & Stanback, M. T. Breeding energetics and thermal ecology of the acorn woodpecker in central coastal California. Condor, 341–359, https://doi.org/10.2307/1368232 (1990).Shelton, T. G. & Appel, A. G. Carbon dioxide release in Coptotermes formosanus Shiraki and Reticulitermes flavipes (Kollar): effects of caste, mass, and movement. J. Insect Physiol. 47, 213–224, https://doi.org/10.1016/S0022-1910(00)00111-6 (2001).CAS 
Article 
PubMed 

Google Scholar 
Bradley, T. J., Brethorst, L., Robinson, S. & Hetz, S. Changes in the Rate of CO2 Release following Feeding in the Insect Rhodnius prolixus. Physiol. Biochem. Zool. 76, 302–309, https://doi.org/10.1086/367953 (2003).Article 
PubMed 

Google Scholar 
Herreid, C. F. & Full, R. J. Cockroaches on a treadmill: aerobic running. J. Insect Physiol. 30, 395–403, https://doi.org/10.1016/0022-1910(84)90097-0 (1984).Article 

Google Scholar 
Arends, A. & McNab, B. K. The comparative energetics of ‘caviomorph’ rodents. Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 130, 105–122, https://doi.org/10.1016/S1095-6433(01)00371-3 (2001).CAS 
Article 

Google Scholar 
McNab, B. K. The comparative energetics of rigid endothermy: the Arvicolidae. J. Zool. 227, 585–606, https://doi.org/10.1111/j.1469-7998.1992.tb04417.x (1992).Article 

Google Scholar 
Bozinovic, F. & Rosenmann, M. Comparative energetics of South American cricetid rodents. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 91, 195–202, https://doi.org/10.1016/0300-9629(88)91616-7 (1988).CAS 
Article 

Google Scholar 
Haim, A. & Skinner, J. D. A comparative study of metabolic rates and thermoregulation of two African antelopes, the steenbok Raphicerus campestris and the blue duiker Cephalophus monticola. J. Therm. Biol. 16, 145–148, https://doi.org/10.1016/0306-4565(91)90036-2 (1991).Article 

Google Scholar 
Else, P. L. & Hulbert, A. J. Comparison of the “mammal machine” and the “reptile machine”: energy production. Am. J. Physiol. Regul. Integr. Comp. Physiol. 240, R3–R9, https://doi.org/10.1152/ajpregu.1981.240.1.R3 (1981).CAS 
Article 

Google Scholar 
Duncan, F. D. & Crewe, R. M. A comparison of the energetics of foraging of three species of Leptogenys (Hymenoptera, Formicidae). Physiol. Entomol. 18, 372–378, https://doi.org/10.1111/j.1365-3032.1993.tb00610.x (1993).Article 

Google Scholar 
Kurta, A. & Ferkin, M. The correlation between demography and metabolic rate: a test using the beach vole (Microtus breweri) and the meadow vole (Microtus pennsylvanicus). Oecologia 87, 102–105, https://doi.org/10.1007/bf00323786 (1991).ADS 
Article 
PubMed 

Google Scholar 
Chown, S. L. & Holter, P. Discontinuous gas exchange cycles in Aphodius fossor (Scarabaeidae): a test of hypotheses concerning origins and mechanisms. J. Exp. Biol. 203, 397–403, https://doi.org/10.1242/jeb.203.2.397 (2000).CAS 
Article 
PubMed 

Google Scholar 
Duncan, F. D. & Byrne, M. J. Discontinuous gas exchange in dung beetles: patterns and ecological implications. Oecologia 122, 452–458, https://doi.org/10.1007/s004420050966 (2000).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Rezende, E. L., Silva-Durán, I., Novoa, F. F. & Rosenmann, M. Does thermal history affect metabolic plasticity?: a study in three Phyllotis species along an altitudinal gradient. J. Therm. Biol. 26, 103–108, https://doi.org/10.1016/S0306-4565(00)00029-2 (2001).Article 
PubMed 

Google Scholar 
Chown, S. L., Scholtz, C. H., Klok, C. J., Joubert, F. J. & Coles, K. S. Ecophysiology, range contraction and survival of a geographically restricted African dung beetle (Coleoptera: Scarabaeidae). Funct. Ecol. 9, 30–39, https://doi.org/10.2307/2390087 (1995).Article 

Google Scholar 
Rübsamen, U., Hume, I. D. & Rübsamen, K. Effect of ambient temperature on autonomic thermoregulation and activity patterns in the rufous rat-kangaroo (Aepyprymnus rufescens: Marsupialia). J. Comp. Physiol. 153, 175–179, https://doi.org/10.1007/bf00689621 (1983).Article 

Google Scholar 
Lewis, L. C., Mutchmor, J. A. & Lynch, R. E. Effect of Perezia pyraustae on oxygen consumption by the European corn borer, Ostrinia nubilalis. J. Insect Physiol. 17, 2457–2468, https://doi.org/10.1016/0022-1910(71)90093-X (1971).Article 

Google Scholar 
Louw, G., Young, B. & Bligh, J. Effect of thyroxine and noradrenaline on thermoregulation, cardiac rate and oxygen consumption in the monitor lizard Varanus albigularis albigularis. J. Therm. Biol. 1, 189–193, https://doi.org/10.1016/0306-4565(76)90013-9 (1976).CAS 
Article 

Google Scholar 
Full, R. J., Zuccarello, D. A. & Tullis, A. Effect of variation in form on the cost of terrestrial locomotion. J. Exp. Biol. 150, 233–246 (1990).CAS 
Article 

Google Scholar 
Bennett, A. F., Dawson, W. R. & Bartholomew, G. A. Effects of activity and temperature on aerobic and anaerobic metabolism in the Galapagos marine iguana. J. Comp. Physiol. 100, 317–329, https://doi.org/10.1007/bf00691052 (1975).CAS 
Article 

Google Scholar 
Thompson, G. G. & Withers, P. C. Effects of body mass and temperature on standard metabolic rates for two Australian varanid lizards (Varanus gouldii and V. panoptes). Copeia, 343–350, https://doi.org/10.2307/1446195 (1992).Hack, M. A. The effects of mass and age on standard metabolic rate in house crickets. Physiol. Entomol. 22, 325–331, https://doi.org/10.1111/j.1365-3032.1997.tb01176.x (1997).ADS 
Article 

Google Scholar 
Gatten, R. E. Jr. Effects of temperature and activity on aerobic and anaerobic metabolism and heart rate in the turtles Pseudemys scripta and Terrapene ornata. Comp. Biochem. Physiol., A: Mol. Integr. Physiol, https://doi.org/10.1016/0300-9629(74)90606-9 (1974).Gleeson, T. T. The effects of training and captivity on the metabolic capacity of the lizard Sceloporus occidentalis. J. Comp. Physiol. 129, 123–128, https://doi.org/10.1007/bf00798176 (1979).CAS 
Article 

Google Scholar 
Bartholomew, G. A. & Lighton, J. R. Endothermy and energy metabolism of a giant tropical fly, Pantophthalmus tabaninus thunberg. J. Comp. Physiol., B 156, 461–467, https://doi.org/10.1007/bf00691031 (1986).Article 

Google Scholar 
Bailey, W. J., Withers, P. C., Endersby, M. & Gaull, K. The energetic costs of calling in the bushcrisket Requena verticalis (Orthoptera: Tettigoniidae: Listroscelidinae). J. Exp. Biol. 178, 21–37 (1993).Article 

Google Scholar 
Kotiaho, J. S. et al. Energetic costs of size and sexual signalling in a wolf spider. Proc. R. Soc. B: Biol. Sci. 265, 2203–2209, https://doi.org/10.1098/rspb.1998.0560 (1998).Article 

Google Scholar 
Chaplin, S. B. The energetic significance of huddling behavior in common bushtits (Psaltriparus minimus). The Auk, 424-430 (1982).Seymour, R. S., Withers, P. C. & Weathers, W. W. Energetics of burrowing, running, and free-living in the Namib Desert golden mole (Eremitalpa namibensis). J. Zool. 244, 107–117 (1998).Article 

Google Scholar 
Herreid, C. F., Full, R. J. & Prawel, D. A. Energetics of Cockroach Locomotion. J. Exp. Biol. 94, 189–202 (1981).Article 

Google Scholar 
Bartholomew, G. A., Lighton, J. R. & Louw, G. N. Energetics of locomotion and patterns of respiration in tenebrionid beetles from the Namib Desert. J. Comp. Physiol., B 155, 155–162, https://doi.org/10.1007/bf00685208 (1985).Article 

Google Scholar 
Lighton, J. R. B. & Gillespie, R. G. The energetics of mimicry: the cost of pedestrian transport in a formicine ant and its mimic, a clubionid spider. Physiol. Entomol. 14, 173–177, https://doi.org/10.1111/j.1365-3032.1989.tb00949.x (1989).Article 

Google Scholar 
Marhold, S. & Nagel, A. The energetics of the common mole rat Cryptomys, a subterranean eusocial rodent from Zambia. J. Comp. Physiol., B 164, 636–645, https://doi.org/10.1007/bf00389805 (1995).CAS 
Article 

Google Scholar 
Pauls, R. W. Energetics of the red squirrel: a laboratory study of the effects of temperature, seasonal acclimatization, use of the nest and exercise. J. Therm. Biol. 6, 79–86, https://doi.org/10.1016/0306-4565(81)90057-7 (1981).ADS 
Article 

Google Scholar 
Brush, A. H. Energetics, temperature regulation and circulation in resting, active and defeathered California quail, Lophortyx californicus. Comp. Biochem. Physiol. 15, 399–421, https://doi.org/10.1016/0010-406X(65)90141-6 (1965).Article 

Google Scholar 
Bailey, C. G. & Riegert, P. W. Energy dynamics of Encoptolophus sordidus costalis (Scudder) (Orthoptera: Acrididae) in a grassland ecosystem. Can. J. Zool. 51, 91–100, https://doi.org/10.1139/z73-014 (1973).Article 

Google Scholar 
Prinzinger, R., Lübben, I. & Schuchmann, K.-L. Energy metabolism and body temperature in 13 sunbird species (Nectariniidae). Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 92, 393–402, https://doi.org/10.1016/0300-9629(89)90581-1 (1989).Article 

Google Scholar 
Baudinette, R. V. Energy metabolism and evaporative water loss in the California ground squirrel. J. Comp. Physiol. 81, 57–72, https://doi.org/10.1007/bf00693550 (1972).Article 

Google Scholar 
May, M. L. Energy metabolism of dragonflies (Odonata: Anisoptera) at rest and during endothermic warm-up. J. Exp. Biol. 83, 79–94 (1979).Article 

Google Scholar 
Baudinette, R. V., Churchill, S. K., Christian, K. A., Nelson, J. E. & Hudson, P. J. Energy, water balance and the roost microenvironment in three Australian cave-dwelling bats (Microchiroptera). J. Comp. Physiol., B 170, 439–446, https://doi.org/10.1007/s003600000121 (2000).CAS 
Article 

Google Scholar 
Withers, P. C. Energy, Water, and Solute Balance of the Ostrich Struthio camelus. Physiol. Zool. 56, 568–579, https://doi.org/10.1086/physzool.56.4.30155880 (1983).Article 

Google Scholar 
Hadley, N. F., Quinlan, M. C. & Kennedy, M. L. Evaporative Cooling in the Desert Cicada: Thermal Efficiency and Water/Metabolic Costs. J. Exp. Biol. 159, 269–283, https://doi.org/10.1242/jeb.159.1.269 (1991).Article 

Google Scholar 
Dunson, W. A. & Bramham, C. R. Evaporative Water Loss and Oxygen Consumption of Three Small Lizards from the Florida Keys: Sphaerodactylus cinereus, S. notatus, and Anolis sagrei. Physiol. Zool. 54, 253–259, https://doi.org/10.1086/physzool.54.2.30155827 (1981).Article 

Google Scholar 
Wunder, B. A. Evaporative water loss from birds: effects of artificial radiation. Comp. Biochem. Physiol. 63, 493–494, https://doi.org/10.1016/0300-9629(79)90180-4 (1979).Article 

Google Scholar 
Maclean, G. S. Factors influencing the composition of respiratory gases in mammal burrows. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 69, 373–380, https://doi.org/10.1016/0300-9629(81)92992-3 (1981).Article 

Google Scholar 
Campbell, K. L., McIntyre, I. W. & MacArthur, R. A. Fasting metabolism and thermoregulatory competence of the star-nosed mole, Condylura cristata (Talpidae: Condylurinae). Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 123, 293–298, https://doi.org/10.1016/S1095-6433(99)00065-3 (1999).CAS 
Article 

Google Scholar 
Weathers, W. W., Paton, D. C. & Seymour, R. S. Field Metabolic Rate and Water Flux of Nectarivorous Honeyeaters. Aust. J. Zool. 44, 445–460, https://doi.org/10.1071/ZO9960445 (1996).Article 

Google Scholar 
Fewell, J. H., Harrison, J. F., Lighton, J. R. B. & Breed, M. D. Foraging energetics of the ant, Paraponera clavata. Oecologia 105, 419–427, https://doi.org/10.1007/bf00330003 (1996).ADS 
Article 
PubMed 

Google Scholar 
Greenstone, M. H. & Bennett, A. F. Foraging strategy and metabolic rate in spiders. Ecology 61, 1255–1259, https://doi.org/10.2307/1936843 (1980).Article 

Google Scholar 
Schmitz, A. Functional morphology of the respiratory organs in the cellar spider Pholcus phalangioides (Arachnida, Araneae, Pholcidae). J. Comp. Physiol., B 185, 637–646, https://doi.org/10.1007/s00360-015-0914-8 (2015).CAS 
Article 

Google Scholar 
Marder, J. & Bernstein, R. Heat balance of the partridge Alectoris chukar exposed to moderate, high and extreme thermal stress. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 74, 149–154, https://doi.org/10.1016/0300-9629(83)90726-0 (1983).CAS 
Article 

Google Scholar 
Lovegrove, B. G., Raman, J. & Perrin, M. R. Heterothermy in elephant shrews, Elephantulus spp. (Macroscelidea): daily torpor or hibernation? J. Comp. Physiol., B 171, 1–10, https://doi.org/10.1007/s003600000139 (2001).CAS 
Article 

Google Scholar 
Zari, T. The influence of body mass and temperature on the standard metabolic rate of the herbivorous desert lizard, Uromastyx microlepis. J. Therm. Biol. 16, 129–133, https://doi.org/10.1016/0306-4565(91)90033-X (1991).Article 

Google Scholar 
Jensen, T. F. & Nielsen, M. G. The influence of body size and temperature on worker ant respiration. Nat. Jutl. 18, 21–25 (1975).
Google Scholar 
McNab, B. K. The Influence of Body Size on the Energetics and Distribution of Fossorial and Burrowing Mammals. Ecology 60, 1010–1021, https://doi.org/10.2307/1936869 (1979).Article 

Google Scholar 
Shillington, C. Inter-sexual differences in resting metabolic rates in the Texas tarantula, Aphonopelma anax. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 142, 439–445, https://doi.org/10.1016/j.cbpa.2005.09.010 (2005).CAS 
Article 

Google Scholar 
Nespolo, R. F., Lardies, M. A. & Bozinovic, F. Intrapopulational variation in the standard metabolic rate of insects: repeatability, thermal dependence and sensitivity (Q10) of oxygen consumption in a cricket. J. Exp. Biol. 206, 4309–4315, https://doi.org/10.1242/jeb.00687 (2003).CAS 
Article 
PubMed 

Google Scholar 
Hailey, A. & Davies, P. M. C. Lifestyle, latitude and activity metabolism of natricine snakes. J. Zool. 209, 461–476, https://doi.org/10.1111/j.1469-7998.1986.tb03604.x (1986).Article 

Google Scholar 
Richter, T. A., Webb, P. I. & Skinner, J. D. Limits to the distribution of the southern African ice rat (Otomys sloggetti): thermal physiology or competitive exclusion? Funct. Ecol. 11, 240–246, https://doi.org/10.1046/j.1365-2435.1997.00078.x (1997).Article 

Google Scholar 
Putnam, R. W. & Murphy, R. W. Low metabolic rate in a nocturnal desert lizard, Anarbylus switaki Murphy (Sauria: Gekkonidae). Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 71, 119–123 (1982).Article 

Google Scholar 
Lighton, J. R. B. & Fielden, L. J. Mass Scaling of Standard Metabolism in Ticks: A Valid Case of Low Metabolic Rates in Sit-and-Wait Strategists. Physiol. Zool. 68, 43–62, https://doi.org/10.1086/physzool.68.1.30163917 (1995).Article 

Google Scholar 
Jones, D. L. & Wang, L. C.-H. Metabolic and cardiovascular adaptations in the western chipmunks, genus Eutamias. J. Comp. Physiol. 105, 219–231, https://doi.org/10.1007/bf00691124 (1976).Article 

Google Scholar 
Casey, T. M., Withers, P. C. & Casey, K. K. Metabolic and respiratory responses of arctic mammals to ambient temperature during the summer. Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 64, 331–341, https://doi.org/10.1016/0300-9629(79)90452-3 (1979).Article 

Google Scholar 
Grant, G. S. & Whittow, G. C. Metabolic cost of incubation in the Laysan albatross and Bonin petrel. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 74, 77–82, https://doi.org/10.1016/0300-9629(83)90715-6 (1983).CAS 
Article 

Google Scholar 
Bennett, A. F. & Gleeson, T. T. Metabolic expenditure and the cost of foraging in the lizard Cnemidophorus murinus. Copeia, 573-577, https://doi.org/10.2307/1443864 (1979).Withers, P. C., Thompson, G. G. & Seymour, R. S. Metabolic physiology of the north-western marsupial mole. Notoryctes caurinus (Marsupialia: Notoryctidae). Aust. J. Zool. 48, 241–258, https://doi.org/10.1071/ZO99073 (2000).Article 

Google Scholar 
Thurling, D. J. Metabolic rate and life stage of the mites Tetranychus cinnabarinus boisd. (Prostigmata) and Phytoseiulus persimilis A-H. (Mesostigmata). Oecologia 46, 391–396, https://doi.org/10.1007/BF00346269 (1980).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Vleck, C. M. & Vleck, D. Metabolic rate in five tropical bird species. Condor 81, 89–91, https://doi.org/10.2307/1367864 (1979).Article 

Google Scholar 
Terblanche, J. S., Jaco Klok, C., Marais, E. & Chown, S. L. Metabolic rate in the whip-spider, Damon annulatipes (Arachnida: Amblypygi). J. Insect Physiol. 50, 637-645, j.jinsphys.2004.04.010 (2004).Boyce, A. J., Mouton, J. C., Lloyd, P., Wolf, B. O. & Martin, T. E. Metabolic rate is negatively linked to adult survival but does not explain latitudinal differences in songbirds. Ecol. Lett. 23, 642–652, https://doi.org/10.1111/ele.13464 (2020).Article 
PubMed 

Google Scholar 
Worthen, G. L. & Kilgore, D. L. Metabolic rate of pine marten in relation to air temperature. J. Mammal. 62, 624–628, https://doi.org/10.2307/1380410 (1981).Article 

Google Scholar 
Hails, C. J. The metabolic rate of tropical birds. Condor, 61–65, https://doi.org/10.2307/1367889 (1983).Terblanche, J. S., Klok, C. J. & Chown, S. L. Metabolic rate variation in Glossina pallidipes (Diptera: Glossinidae): gender, ageing and repeatability. J. Insect Physiol. 50, 419–428, https://doi.org/10.1016/j.jinsphys.2004.02.009 (2004).CAS 
Article 
PubMed 

Google Scholar 
Schmitz, A. Metabolic rates during rest and activity in differently tracheated spiders (Arachnida, Araneae): Pardosa lugubris (Lycosidae) and Marpissa muscosa (Salticidae). J. Comp. Physiol., B 174, 519–526, https://doi.org/10.1007/s00360-004-0440-6 (2004).CAS 
Article 

Google Scholar 
Anderson, J. F. Metabolic rates of resting salticid and thomisid spiders. J. Arachnol. 129–134 (1996).Adams, N. J. & Brown, C. R. Metabolic rates of sub-Antarctic Procellariiformes: a comparative study. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 77, 169–173, https://doi.org/10.1016/0300-9629(84)90030-6 (1984).Article 

Google Scholar 
Morrison, P. & Ryser, F. A. Metabolism and body temperature in a small hibernator, the meadow jumping mouse, Zapus hudsonius. J. Cell. Compar. Physl. 60, 169–180, https://doi.org/10.1002/jcp.1030600206 (1962).CAS 
Article 

Google Scholar 
Bieńkowski, P. & Marszałek, U. Metabolism and energy budget in the snow vole. Acta Theriol. 19, 55–67 (1974).Article 

Google Scholar 
Lardies, M. A., Catalán, T. P. & Bozinovic, F. Metabolism and life-history correlates in a lowland and highland population of a terrestrial isopod. Can. J. Zool. 82, 677–687, https://doi.org/10.1139/z04-033 (2004).Article 

Google Scholar 
Król, E. Metabolism and thermoregulation in the eastern hedgehog Erinaceus concolor. J. Comp. Physiol., B 164, 503–507, https://doi.org/10.1007/bf00714589 (1994).Article 

Google Scholar 
Hennemann, W. W., Thompson, S. D. & Konecny, M. J. Metabolism of Crab-Eating Foxes, Cerdocyon thous: Ecological Influences on the Energetics of Canids. Physiol. Zool. 56, 319–324, https://doi.org/10.1086/physzool.56.3.30152596 (1983).Article 

Google Scholar 
Lovegrove, B. G. The metabolism of social subterranean rodents: adaptation to aridity. Oecologia 69, 551–555, https://doi.org/10.1007/bf00410361 (1986).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Prinzinger, R. & Hänssler, I. Metabolism-weight relationship in some small nonpasserine birds. Experientia 36, 1299–1300, https://doi.org/10.1007/bf01969600 (1980).Article 

Google Scholar 
Hill, R. W. Metabolism, thermal conductance, and body temperature in one of the largest species of Peromyscus, P. pirrensis. J. Therm. Biol. 1, 109–112, https://doi.org/10.1016/0306-4565(76)90029-2 (1976).Article 

Google Scholar 
Saarela, S. & Hissa, R. Metabolism, thermogenesis and daily rhythm of body temperature in the wood lemming, Myopus schisticolor. J. Comp. Physiol., B 163, 546–555, https://doi.org/10.1007/bf00302113 (1993).CAS 
Article 

Google Scholar 
MacMillen, R. E. Nonconformance of standard metabolic rate with body mass in Hawaiian Honeycreepers. Oecologia 49, 340–343, https://doi.org/10.1007/bf00347595 (1981).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Krog, H. & Monson, M. Notes on the metabolism of a mountain goat. Am. J. Physiol. 178, 515–516 (1954).CAS 
Article 

Google Scholar 
Du Toit, J. T., Jarvis, J. U. M. & Louw, G. N. Nutrition and burrowing energetics of the Cape mole-rat Georychus capensis. Oecologia 66, 81–87, https://doi.org/10.1007/bf00378556 (1985).ADS 
Article 
PubMed 

Google Scholar 
Farrell, D. J. & Wood, A. J. The nutrition of the female mink (Mustela vison). I. The metabolic rate of the mink. Can. J. Zool. 46, 41–45, https://doi.org/10.1139/z68-008 (1968).Article 

Google Scholar 
Hennemann, W. W. & Konecny, M. J. Oxygen consumption in large spotted genets, Genetta tigrina. J. Mammal. 61, 747–750, https://doi.org/10.2307/1380332 (1980).Article 

Google Scholar 
May, M. L., Pearson, D. L. & Casey, T. M. Oxygen consumption of active and inactive adult tiger beetles. Physiol. Entomol. 11, 171–179, https://doi.org/10.1111/j.1365-3032.1986.tb00403.x (1986).Article 

Google Scholar 
Bartholomew, G. A. & Casey, T. M. Oxygen Consumption of Moths During Rest, Pre-Flight Warm-Up, and Flight In Relation to Body Size and Wing Morphology. J. Exp. Biol. 76, 11–25 (1978).Article 

Google Scholar 
MacMillen, R. E., Whittow, G. C., Christopher, E. A. & Ebisu, R. J. Oxygen consumption, evaporative water loss, and body temperature in the sooty tern. The Auk, 72–79 (1977).Francis, C. & Brooks, G. R. Oxygen consumption, rate of heart beat and ventilatory rate in parietalectomized lizards, Sceloporus occidentalis. Comp. Biochem. Physiol. 35, 463–469, https://doi.org/10.1016/0010-406X(70)90609-2 (1970).Article 

Google Scholar 
Tucker, V. A. Oxygen consumption, thermal conductance, and torpor in the California pocket mouse Perognathus californicus. J. Cell. Physiol. 65, 393–403, https://doi.org/10.1002/jcp.1030650313 (1965).CAS 
Article 
PubMed 

Google Scholar 
McNab, B. K. Physiological convergence amongst ant-eating and termite-eating mammals. J. Zool. 203, 485–510, https://doi.org/10.1111/j.1469-7998.1984.tb02345.x (1984).Article 

Google Scholar 
Genoud, M., Bonaccorso, F. J. & Anends, A. Rate of metabolism and temperature regulation in two small tropical insectivorous bats (Peropteryx macrotis and Natalus tumidirostris). Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 97, 229–234, https://doi.org/10.1016/0300-9629(90)90177-T (1990).Article 

Google Scholar 
Genoud, M. & Ruedi, M. Rate of metabolism, temperature regulations, and evaporative water loss in the lesser gymnure Hylomys suillus (Insectivora, Mammalia). J. Zool. 240, 309–316, https://doi.org/10.1111/j.1469-7998.1996.tb05287.x (1996).Article 

Google Scholar 
Ricklefs, R. E. & Matthew, K. K. Rates of oxygen consumption in four species of seabird at Palmer Station, Antarctic peninsula. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 74, 885–888, https://doi.org/10.1016/0300-9629(83)90363-8 (1983).CAS 
Article 

Google Scholar 
Lasiewski, R. C. & Dawson, W. R. A Re-Examination of the Relation between Standard Metabolic Rate and Body Weight in Birds. Condor 69, 13–23, https://doi.org/10.2307/1366368 (1967).Article 

Google Scholar 
Goldstein, R. B. Relation of metabolism to ambient temperature in the Verdin. Condor 76, 116–119, https://doi.org/10.2307/1365995 (1974).Article 

Google Scholar 
Mispagel, M. E. Relation of oxygen consumption to size and temperature in desert arthropods. Ecol. Entomol. 6, 423–431, https://doi.org/10.1111/j.1365-2311.1981.tb00634.x (1981).Article 

Google Scholar 
Bryant, D. M., Hails, C. J. & Tatner, P. Reproductive energetics of two tropical bird species. The Auk, 25–37 (1984).Holter, P. Resource utilization and local coexistence in a guild of scarabaeid dung beetles (Aphodius spp.). Oikos 39, 213–227, https://doi.org/10.2307/3544488 (1982).Article 

Google Scholar 
Goldstein, D. L. & Nagy, K. A. Resource Utilization by Desert Quail: Time and Energy, Food and Water. Ecology 66, 378–387, https://doi.org/10.2307/1940387 (1985).Article 

Google Scholar 
Louw, G. N., Nicolson, S. W. & Seely, M. K. Respiration beneath desert sand: carbon dioxide diffusion and respiratory patterns in a tenebrionid beetle. J. Exp. Biol. 120, 443–446 (1986).Article 

Google Scholar 
Anderson, J. F. & Prestwich, K. N. Respiratory Gas Exchange in Spiders. Physiol. Zool. 55, 72–90, https://doi.org/10.1086/physzool.55.1.30158445 (1982).Article 

Google Scholar 
Meyer, E. & Phillipson, J. Respiratory metabolism of the isopod Trichoniscus pusillus provisorius. Oikos, 69–74, https://doi.org/10.2307/3544200 (1983).Duncan, F. D. & Dickman, C. R. Respiratory patterns and metabolism in tenebrionid and carabid beetles from the Simpson Desert, Australia. Oecologia 129, 509–517, https://doi.org/10.1007/s004420100772 (2001).ADS 
Article 
PubMed 

Google Scholar 
Nielsen, M. G. Respiratory rates of ants from different climatic areas. J. Insect Physiol. 32, 125–131, https://doi.org/10.1016/0022-1910(86)90131-9 (1986).Article 

Google Scholar 
Calder, W. A. III & Dawson, T. J. Resting metabolic rates of ratite birds: the kiwis and the emu. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 60, 479–481 (1978).Article 

Google Scholar 
Kawamoto, T. H., Machado, Fd. A., Kaneto, G. E. & Japyassu, H. F. Resting metabolic rates of two orbweb spiders: A first approach to evolutionary success of ecribellate spiders. J. Insect Physiol. 57, 427–432, https://doi.org/10.1016/j.jinsphys.2011.01.001 (2011).CAS 
Article 
PubMed 

Google Scholar 
Lehmann, F. O., Dickinson, M. H. & Staunton, J. The scaling of carbon dioxide release and respiratory water loss in flying fruit flies (Drosophila spp.). J. Exp. Biol. 203, 1613–1624 (2000).CAS 
Article 

Google Scholar 
Chown, S. L. et al. Scaling of insect metabolic rate is inconsistent with the nutrient supply network model. Funct. Ecol. 21, 282–290, https://doi.org/10.1111/j.1365-2435.2007.01245.x (2007).Article 

Google Scholar 
Bartholomew, G. A. & Lighton, J. R. B. Short Communication: Ventilation and Oxygen Consumption During Rest and Locomotion in a Tropical Cockroach, Blaberus Giganteus. J. Exp. Biol. 118, 449–454 (1985).Article 

Google Scholar 
Stahel, C. D., Megirian, D. & Nicol, S. C. Sleep and metabolic rate in the little penguin, Eudyptula minor. J. Comp. Physiol., B 154, 487–494, https://doi.org/10.1007/bf02515153 (1984).Article 

Google Scholar 
Lighton, J. R. Slow Discontinuous Ventilation in the Namib Dune-sea Ant Camponotus Detritus (Hymenoptera, Formicidae). J. Exp. Biol. 151, 71–82 (1990).Article 

Google Scholar 
Bech, C., Chappell, M. A., Astheimer, L. B., Londoño, G. A. & Buttemer, W. A. A ‘slow pace of life’ in Australian old-endemic passerine birds is not accompanied by low basal metabolic rates. J. Comp. Physiol., B 186, 503–512, https://doi.org/10.1007/s00360-016-0964-6 (2016).CAS 
Article 

Google Scholar 
Young, S. R. & Block, W. Some factors affecting metabolic rate in an Antarctic mite. Oikos, 178–185, https://doi.org/10.2307/3544180 (1980).Wang, L. C.-H. & Hudson, J. W. Some physiological aspects of temperature regulation in the normothermic and torpid hispid pocket mouse, Perognathus hispidus. Comp. Biochem. Physiol. 32, 275–293, https://doi.org/10.1016/0010-406X(70)90941-2 (1970).CAS 
Article 
PubMed 

Google Scholar 
Bedford, G. S. & Christian, K. A. Standard metabolic rate and preferred body temperatures in some Australian pythons. Aust. J. Zool. 46, 317–328, https://doi.org/10.1071/ZO98019 (1999).Article 

Google Scholar 
Vogt, J. T. & Appel, A. G. Standard metabolic rate of the fire ant, Solenopsis invicta Buren: effects of temperature, mass, and caste. J. Insect Physiol. 45, 655–666, https://doi.org/10.1016/S0022-1910(99)00036-0 (1999).CAS 
Article 
PubMed 

Google Scholar 
Thompson, G., Heger, N., Heger, T. & Withers, P. Standard metabolic rate of the largest Australian lizard, Varanus giganteus. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 111, 603–608, https://doi.org/10.1016/0300-9629(95)00055-C (1995).Article 

Google Scholar 
Vitali, S. D., Withers, P. C. & Richardson, K. C. Standard metabolic rates of three nectarivorous meliphagid passerine birds. Aust. J. Zool. 47, 385–391, https://doi.org/10.1071/ZO99023 (1999).Article 

Google Scholar 
Dawson, T. J., Grant, T. R. & Fanning, D. Standard Metabolism of Monotremes and the Evolution of Homeothermy. Aust. J. Zool. 27, 511–515, https://doi.org/10.1071/ZO9790511 (1979).Article 

Google Scholar 
Al-Sadoon, M. K. & Abdo, N. M. Temperature effects on oxygen consumption of two nocturnal geckos, Ptyodactylus hasselquistii (Donndorff) and Bunopus tuberculatus (Blanford) (Reptilia: Gekkonidae) in Saudi Arabia. J. Comp. Physiol., B 159, 1–4, https://doi.org/10.1007/bf00692676 (1989).ADS 
Article 

Google Scholar 
Roxburgh, L. & Perrin, M. R. Temperature regulation and activity pattern of the round-eared elephant shrew Macroscelides proboscideus. J. Therm. Biol. 19, 13–20, https://doi.org/10.1016/0306-4565(94)90004-3 (1994).Article 

Google Scholar 
Wang, L. C.-H. & Hudson, J. W. Temperature regulation in normothermic and hibernating eastern chipmunk, Tamias striatus. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 38, 59–90, https://doi.org/10.1016/0300-9629(71)90098-3 (1971).CAS 
Article 

Google Scholar 
Rfinking, L. N., Kilgore, D. L. Jr, Fairbanks, E. S. & Hamilton, J. D. Temperature regulation in normothermic black-tailed prairie dogs, Cynomys ludovicianus. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 57, 161–165, https://doi.org/10.1016/0300-9629(77)90368-1 (1977).Article 

Google Scholar 
Chew, R. M., Lindberg, R. G. & Hayden, P. Temperature regulation in the little pocket mouse, Perognathus longimembris. Comp. Biochem. Physiol. 21, 487–505, https://doi.org/10.1016/0010-406X(67)90447-1 (1967).CAS 
Article 
PubMed 

Google Scholar 
Ebisu, R. J. & Whittow, G. C. Temperature regulation in the small Indian mongoose (Herpestes auropunctatus). Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 54, 309–313, https://doi.org/10.1016/S0300-9629(76)80117-X (1976).CAS 
Article 

Google Scholar 
Whittow, G. C., Scammell, C. A., Leong, M. & Rand, D. Temperature regulation in the smallest ungulate, the lesser mouse deer (Tragulus javanicus). Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 56, 23–26, https://doi.org/10.1016/0300-9629(77)90436-4 (1977).CAS 
Article 

Google Scholar 
Fusari, M. H. Temperature responses of standard, aerobic metabolism by the California legless lizard, Anniella pulchra. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 77, 97–101, https://doi.org/10.1016/0300-9629(84)90018-5 (1984).CAS 
Article 

Google Scholar 
Dawson, T. J. & Fanning, F. D. Thermal and energetic problems of semiaquatic mammals: a study of the Australian water rat, including comparisons with the platypus. Physiol. Zool. 54, 285–296 (1981).Article 

Google Scholar 
Campbell, K. L. & Hochachka, P. W. Thermal biology and metabolism of the American shrew-mole, Neurotrichus gibbsii. J. Mammal. 81, 578-585, 10.1644/1545-1542(2000)0812.0.CO;2 (2000).Hosken, D. J. Thermal Biology and Metabolism of the Greater Long-eared Bat. Nyctophilus major (Chiroptera:Vespertilionidae). Aust. J. Zool. 45, 145–156, https://doi.org/10.1071/ZO96043 (1997).Article 

Google Scholar 
Duxbury, K. J. & Perrin, M. Thermal biology and water turnover rate in the Cape gerbil, Tatera afra (Gerbillidae). J. Therm. Biol. 17, 199–208, https://doi.org/10.1016/0306-4565(92)90056-L (1992).Article 

Google Scholar 
Downs, C. T. & Perrin, M. R. The thermal biology of the white-tailed rat Mystromys albicaudatus, a cricetine relic in southern temperate African grassland. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 110, 65–69, https://doi.org/10.1016/0300-9629(94)00147-L (1995).CAS 
Article 

Google Scholar 
Downs, C. T. & Perrin, M. R. The thermal biology of three southern African elephant-shrews. J. Therm. Biol. 20, 445–450, https://doi.org/10.1016/0306-4565(95)00003-F (1995).Article 

Google Scholar 
Maloiy, G. M. O., Kamau, J. M. Z., Shkolnik, A., Meir, M. & Arieli, R. Thermoregulation and metabolism in a small desert carnivore: the Fennec fox (Fennecus zerda)(Mammalia). J. Zool. 198, 279–291, https://doi.org/10.1111/j.1469-7998.1982.tb02076.x (1982).Article 

Google Scholar 
Maskrey, M. & Hoppe, P. P. Thermoregulation and oxygen consumption in Kirk’s dik-dik (Madoqua kirkii) at ambient temperatures of 10–45 °C. Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 62, 827–830, https://doi.org/10.1016/0300-9629(79)90010-0 (1979).Article 

Google Scholar 
Kamau, J. M., Johansen, K. & Maloiy, G. Thermoregulation and standard metabolism of the slender mongoose (Herpestes sanguineus). Physiol. Zool. 52, 594–602 (1979).Article 

Google Scholar 
Knight, M. H. Thermoregulation in the largest African cricetid, the giant rat Cricetomys gambianus. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 89, 705–708, https://doi.org/10.1016/0300-9629(88)90856-0 (1988).CAS 
Article 

Google Scholar 
Bennett, N. C., Aguilar, G. H., Jarvis, J. U. M. & Faulkes, C. G. Thermoregulation in three species of Afrotropical subterranean mole-rats (Rodentia: Bathyergidae) from Zambia and Angola and scaling within the genus Cryptomys. Oecologia 97, 222–227, https://doi.org/10.1007/bf00323153 (1994).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Casey, T. M. & Casey, K. K. Thermoregulation of Arctic Weasels. Physiol. Zool. 52, 153–164, https://doi.org/10.1086/physzool.52.2.30152560 (1979).Article 

Google Scholar 
Layne, J. N. & Dolan, P. G. Thermoregulation, metabolism, and water economy in the golden mouse (Ochrotomys nuttalli). Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 52, 153–163, https://doi.org/10.1016/S0300-9629(75)80146-0 (1975).CAS 
Article 

Google Scholar 
Roberts, J. R. & Baudinette, R. V. Thermoregulation, Oxygen Consumption and Water Turnover in Stubble Quail, Coturnix pectoralis, and King Quail, Coturnix chinensis. Aust. J. Zool. 34, 25–33, https://doi.org/10.1071/ZO9860025 (1986).Article 

Google Scholar 
du Plessis, A., Erasmus, T. & Kerley, G. I. Thermoregulatory patterns of two sympatric rodents: Otomys unisulcatus and Parotomys brantsii. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 94, 215–220, https://doi.org/10.1016/0300-9629(89)90538-0 (1989).Article 

Google Scholar 
Bradley, W. & Yousef, M. Thermoregulatory responses in the plains pocket gopher, Geomys bursarius. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 52, 35–38, https://doi.org/10.1016/S0300-9629(75)80122-8 (1975).CAS 
Article 

Google Scholar 
Drent, R. H. & Stonehouse, B. Thermoregulatory responses of the Peruvian penguin, Spheniscus humboldti. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 40, 689–710, https://doi.org/10.1016/0300-9629(71)90254-4 (1971).CAS 
Article 

Google Scholar 
El-Nouty, F. D., Yousef, M. K., Magdub, A. B. & Johnson, H. D. Thyroid hormones and metabolic rate in burros, Equus asinus, and llamas, Lama glama: effects of environmental temperature. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 60, 235–237, https://doi.org/10.1016/0300-9629(78)90238-4 (1978).Article 

Google Scholar 
Krüger, K., Prinzinger, R. & Schuchmann, K.-L. Torpor and metabolism in hummingbirds. Comp. Biochem. Physiol. A: Mol. Integr. Physiol. 73, 679–689 (1982).
Google Scholar 
Bartholomew, G. A. & Barnhart, M. C. Tracheal Gases, Respiratory Gas Exchange, Body Temperature and Flight in Some Tropical Cicadas. J. Exp. Biol. 111, 131–144 (1984).Article 

Google Scholar 
Zachariassen, K. E., Andersen, J., Maloiy, G. M. & Kamau, J. M. Transpiratory water loss and metabolism of beetles from arid areas in East Africa. Comp. Biochem. Physiol., A: Mol. Integr. Physiol. 86, 403–408, https://doi.org/10.1016/0300-9629(87)90515-9 (1987).Article 

Google Scholar 
Bucher, T. L. Ventilation and oxygen consumption in Amazona viridigenalis. J. Comp. Physiol., B 155, 269–276, https://doi.org/10.1007/bf00687467 (1985).ADS 
Article 

Google Scholar 
Bickler, P. E. & Anderson, R. A. Ventilation, Gas Exchange, and Aerobic Scope in a Small Monitor Lizard, Varanus gilleni. Physiol. Zool. 59, 76–83, https://doi.org/10.1086/physzool.59.1.30156093 (1986).Article 

Google Scholar 
Seid, M. A., Castillo, A. & Wcislo, W. T. The allometry of brain miniaturization in ants. Brain Behav. Evol. 77, 5–13, https://doi.org/10.1159/000322530 (2011).Article 
PubMed 

Google Scholar 
Quesada, R. et al. The allometry of CNS size and consequences of miniaturization in orb-weaving and cleptoparasitic spiders. Arthropod Struct. Dev. 40, 521–529, https://doi.org/10.1016/j.asd.2011.07.002 (2011).Article 
PubMed 

Google Scholar 
Mares, S., Ash, L. & Gronenberg, W. Brain allometry in bumblebee and honey bee workers. Brain Behav. Evol. 66, 50–61, https://doi.org/10.1159/000085047 (2005).Article 
PubMed 

Google Scholar 
Mlikovsky, J. Brain size and forearmen magnum area in crows and allies (Aves: Corvidae). Acta Soc. Zool. Bohem. 67, 203–211 (2003).
Google Scholar 
Mlikovsky, J. Brain size in birds: 4. Passeriformes. Acta Soc. Zool. Bohem. 54, 27–37 (1990).
Google Scholar 
Bronson, R. T. Brain weight-body weight relationships in 12 species of nonhuman primates. Am. J. Phys. Anthropol. 56, 77–81, https://doi.org/10.1002/ajpa.1330560109 (1981).Article 

Google Scholar 
Guay, P., Weston, M., Symonds, M. & Glover, H. Brains and bravery: Little evidence of a relationship between brain size and flightiness in shorebirds. Austral Ecol. 38, 516–522, https://doi.org/10.1111/j.1442-9993.2012.02441.x (2013).Article 

Google Scholar 
Boddy, A. M. et al. Comparative analysis of encephalization in mammals reveals relaxed constraints on anthropoid primate and cetacean brain scaling. J. Evol. Biol. 25, 981–994, https://doi.org/10.1111/j.1420-9101.2012.02491.x (2012).CAS 
Article 
PubMed 

Google Scholar 
Stankowich, T. & Romero, A. N. The correlated evolution of antipredator defences and brain size in mammals. Proc. R. Soc. B: Biol. Sci. 284, https://doi.org/10.1098/rspb.2016.1857 (2017).Sheehan, Z. B. V., Kamhi, J. F., Seid, M. A. & Narendra, A. Differential investment in brain regions for a diurnal and nocturnal lifestyle in Australian Myrmecia ants. J. Comp. Neurol. 0, https://doi.org/10.1002/cne.24617.Bauchot, R. & Stephan, H. Données nouvelles sur l’encéphalisation des insectivores et des prosimiens. Mammalia 30, 160–196, https://doi.org/10.1515/mamm.1966.30.1.160 (1966).Article 

Google Scholar 
Rosenzweig, M. & Bennett, E. L. Effects of differential environments on brain weights and enzyme activities in gerbils, rats, and mice. Dev. Psychobiol. 2, 87–95, https://doi.org/10.1002/dev.420020208 (1969).CAS 
Article 
PubMed 

Google Scholar 
Pirlot, P. & Stephan, H. Encephalization in Chiroptera. Can. J. Zool. 48, 433–444, https://doi.org/10.1139/z70-075 (1970).Article 

Google Scholar 
Ashwell, K. W. S. Encephalization of Australian and New Guinean marsupials. Brain Behav. Evol. 71, 181–199, https://doi.org/10.1159/000114406 (2008).CAS 
Article 
PubMed 

Google Scholar 
Hoops, D. et al. Evidence for concerted and mosaic brain evolution in dragon lizards. Brain Behav. Evol. 90, 211–223, https://doi.org/10.1159/000478738 (2017).Article 
PubMed 

Google Scholar 
Pasquet, A., Toscani, C. & Anotaux, M. Influence of aging on brain and web characteristics of an orb web spider. J. Ethol. 36, 85–91, https://doi.org/10.1007/s10164-017-0530-z (2018).Article 
PubMed 

Google Scholar 
Warnke, P. Mitteilung neuer Gehirn-und Körpergewichtsbestimmungen bei Saugern. J. Psychol. Neurol. 13, 355–403 (1908).
Google Scholar 
Naccarati, S. On the relation between the weight of the internal secretory glands and the body weight and brain weight. Anat. Rec. 24, 254–260, https://doi.org/10.1002/ar.1090240408 (1922).Article 

Google Scholar 
Crile, G. & Quiring, D. P. A record of the body weight and certain organ and gland weights of 3690 animals. Ohio J. Sci. (1940).Franklin, D. C., Garnett, S. T., Luck, G. W., Gutierrez-Ibanez, C. & Iwaniuk, A. N. Relative brain size in Australian birds. Emu 114, 160–170, https://doi.org/10.1071/MU13034 (2014).Article 

Google Scholar 
Hrdlička, A. Weight of the brain and of the internal organs in American monkeys. With data on brain weight in other apes. Am. J. Phys. Anthropol. 8, 201–211, https://doi.org/10.1002/ajpa.1330080207 (1925).Article 

Google Scholar 
Stöckl, A. L., Ribi, W. A. & Warrant, E. J. Adaptations for nocturnal and diurnal vision in the hawkmoth lamina. J. Comp. Neurol. 524, 160–175, https://doi.org/10.1002/cne.23832 (2016).Article 
PubMed 

Google Scholar 
Napiorkowska, T. & Kobak, J. The allometry of the central nervous system during the postembryonic development of the spider Eratigena atrica. Arthropod Struct. Dev. 46, 805–814, https://doi.org/10.1016/j.asd.2017.08.005 (2017).Article 
PubMed 

Google Scholar 
El Jundi, B., Huetteroth, W., Kurylas, A. E. & Schachtner, J. Anisometric brain dimorphism revisited: Implementation of a volumetric 3D standard brain in Manduca sexta. J. Comp. Neurol. 517, 210–225, https://doi.org/10.1002/cne.22150 (2009).Article 
PubMed 

Google Scholar 
Krieger, J., Sandeman, R. E., Sandeman, D. C., Hansson, B. S. & Harzsch, S. Brain architecture of the largest living land arthropod, the Giant Robber Crab Birgus latro (Crustacea, Anomura, Coenobitidae): evidence for a prominent central olfactory pathway? Front. Zool. 7, 25, https://doi.org/10.1186/1742-9994-7-25 (2010).Article 
PubMed 
PubMed Central 

Google Scholar 
Powell, B. J. & Leal, M. Brain Organization and Habitat Complexity in Anolis Lizards. Brain Behav. Evol. 84, 8–18, https://doi.org/10.1159/000362197 (2014).Article 
PubMed 

Google Scholar 
Platel, R. in Biology of the Reptilia 10 (eds Gans, C. G., Northcutt, R. G & Ulinski, P. S.) 147–171 (Academic Press, 1979).Van Der Woude, E., Smid, H. M., Chittka, L. & Huigens, M. E. Breaking Haller’s rule: brain-body size isometry in a minute parasitic wasp. Brain Behav. Evol. 81, 86–92, https://doi.org/10.1159/000345945 (2013).Article 
PubMed 

Google Scholar 
Guay, P.-J. & Iwaniuk, A. N. Captive breeding reduces brain volume in waterfowl (Anseriformes). Condor 110, 276–284, https://doi.org/10.1525/cond.2008.8424 (2008).Article 

Google Scholar 
Robinson, C. D., Patton, M. S., Andre, B. M. & Johnson, M. A. Convergent evolution of brain morphology and communication modalities in lizards. Current Zoology 61, 281–291, https://doi.org/10.1093/czoolo/61.2.281 (2015).Article 

Google Scholar 
Kvello, P., Løfaldli, B., Rybak, J., Menzel, R. & Mustaparta, H. Digital, three-dimensional average shaped atlas of the Heliothis virescens brain with integrated gustatory and olfactory neurons. Front. Syst. Neurosci. 3, https://doi.org/10.3389/neuro.06.014.2009 (2009).Montgomery, S. H. & Merrill, R. M. Divergence in brain composition during the early stages of ecological specialization in Heliconius butterflies. J. Evol. Biol. 30, 571–582, https://doi.org/10.1111/jeb.13027 (2017).CAS 
Article 
PubMed 

Google Scholar 
Gordon, D. G., Zelaya, A., Arganda-Carreras, I., Arganda, S. & Traniello, J. F. A. Division of labor and brain evolution in insect societies: Neurobiology of extreme specialization in the turtle ant Cephalotes varians. PLOS ONE 14, e0213618, https://doi.org/10.1371/journal.pone.0213618 (2019).CAS 
Article 
PubMed 
PubMed Central 

Google Scholar 
Rein, K., Zöckler, M., Mader, M. T., Grübel, C. & Heisenberg, M. The Drosophila Standard Brain. Curr. Biol. 12, 227–231, https://doi.org/10.1016/S0960-9822(02)00656-5 (2002).CAS 
Article 
PubMed 

Google Scholar 
Shen, J.-M., Li, R.-D. & Gao, F.-Y. Effects of ambient temperature on lipid and fatty acid composition in the oviparous lizards, Phrynocephalus przewalskii. Comp. Biochem. Physiol. B: Biochem. Mol. Biol. 142, 293–301, https://doi.org/10.1016/j.cbpb.2005.07.013 (2005).CAS 
Article 

Google Scholar 
Muscedere, M. L., Gronenberg, W., Moreau, C. S. & Traniello, J. F. A. Investment in higher order central processing regions is not constrained by brain size in social insects. Proc. R. Soc. B: Biol. Sci. 281, https://doi.org/10.1098/rspb.2014.0217 (2014).Platel, R. L’encéphalisation chez le Tuatara de Nouvelle-Zélande Sphenodon punctatus Gray (Lepidosauria, Sphenodonta). Etude quantifiée des principales subdivisions encéphaliques. J. Hirnforsch. 30, 325–337 (1989).CAS 
PubMed 

Google Scholar 
Makarova, A. A. & Polilov, A. A. Peculiarities of the brain organization and fine structure in small insects related to miniaturization. 1. The smallest Coleoptera (Ptiliidae). Entomol. Rev. 93, 703–713, https://doi.org/10.1134/S0013873813060043 (2013).Article 

Google Scholar 
Bininda‐Emonds, O. R. P. Pinniped brain sizes. Mar. Mamm. Sci. 16, 469–481 (2000).Article 

Google Scholar 
Stafstrom, J. A., Michalik, P. & Hebets, E. A. Sensory system plasticity in a visually specialized, nocturnal spider. Sci. Rep. 7, 46627, https://doi.org/10.1038/srep46627 (2017).ADS 
Article 
PubMed 
PubMed Central 

Google Scholar 
O’Donnell, S., Bulova, S. J., Barrett, M. & Fiocca, K. Size constraints and sensory adaptations affect mosaic brain evolution in paper wasps (Vespidae: Epiponini). Biol. J. Linn. Soc. 123, 302–310, https://doi.org/10.1093/biolinnean/blx150 (2018).Article 

Google Scholar 
Kamhi, J. F., Gronenberg, W., Robson, S. K. A. & Traniello, J. F. A. Social complexity influences brain investment and neural operation costs in ants. Proc. R. Soc. B: Biol. Sci. 283, 20161949, https://doi.org/10.1098/rspb.2016.1949 (2016).Article 

Google Scholar 
Kurylas, A. E., Rohlfing, T., Krofczik, S., Jenett, A. & Homberg, U. Standardized atlas of the brain of the desert locust, Schistocerca gregaria. Cell Tissue Res. 333, 125, https://doi.org/10.1007/s00441-008-0620-x (2008).Article 
PubMed 

Google Scholar 
O’Donnell, S. et al. A test of neuroecological predictions using paperwasp caste differences in brain structure (Hymenoptera: Vespidae). Behav. Ecol. Sociobiol. 68, 529–536, https://doi.org/10.1007/s00265-013-1667-6 (2014).Article 

Google Scholar 
Weltzien, P. & Barth, F. G. Volumetric measurements do not demonstrate that the spider brain “central body” has a special role in web building. J. Morphol. 208, 91–98, https://doi.org/10.1002/jmor.1052080104 (1991).Article 
PubMed 

Google Scholar  More

Sarkar, A. et al. Nat. Ecol. Evol. 4, 1020–1035 (2020).Article 

Google Scholar 
Tung, J. et al. eLife 4, e05224 (2015).Article 

Google Scholar 
Bennett, G. et al. Am. J. Primatol. 78, 883–892 (2016).CAS 
Article 

Google Scholar 
Moeller, A. H. et al. Sci. Adv. 2, e1500997 (2016).Article 

Google Scholar 
Perofsky, A. C., Ancel Meyers, L., Abondano, L. A., Di Fiore, A. & Lewis, R. J. Mol. Ecol. 30, 6759–6775 (2021).Article 

Google Scholar 
Yarlagadda, K., Razik, I., Malhi, R. S. & Carter, G. G. Biol. Lett. 17, 20210389 (2021).Article 

Google Scholar 
Björk, J. R. et al. Nat. Ecol. Evol., https://doi.org/10.1038/s41559-022-01773-4 (2022).Blekhman, R. et al. Genome Biol. 16, 191 (2015).Article 

Google Scholar 
Grieneisen, L. et al. Science 186, 181–186 (2021).Article 

Google Scholar 
Lloyd-Price, J. et al. Nature 550, 61–66 (2017).CAS 
Article 

Google Scholar  More