Philippa Kaur

Pachauri, R. K. et al. Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change. (IPCC, 2014).Thackeray, S. J. et al. Phenological sensitivity to climate across taxa and trophic levels. Nature 535, 241–245 (2016).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Walther, G.-R. et al. Ecological responses to recent climate change. Nature 416, 389–395 (2002).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Root, T. L., MacMynowski, D. P., Mastrandrea, M. D. & Schneider, S. H. Human-modified temperatures induce species changes: Joint attribution. Proc. Natl. Acad. Sci. USA 102, 7465–7469 (2005).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Menzel, A. et al. European phenological response to climate change matches the warming pattern. Glob. Change Biol. 12, 1969–1976 (2006).ADS 
Article 

Google Scholar 
Rosenzweig, C. et al. Attributing physical and biological impacts to anthropogenic climate change. Nature 453, 353–357 (2008).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G. & Nemani, R. R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386, 698–702 (1997).ADS 
CAS 
Article 

Google Scholar 
Walkovszky, A. Changes in phenology of the locust tree (Robinia pseudoacacia L.) in Hungary. Int. J. Biometeorol. 41, 155–160 (1998).ADS 
Article 

Google Scholar 
Crick, H. Q. P. & Sparks, T. H. Climate change related to egg-laying trends [8]. Nature 399, 423–424 (1999).ADS 
CAS 
Article 

Google Scholar 
Both, C., Van Asch, M., Bijlsma, R. G., Van Den Burg, A. B. & Visser, M. E. Climate change and unequal phenological changes across four trophic levels: Constraints or adaptations?. J. Anim. Ecol. 78, 73–83 (2009).PubMed 
Article 

Google Scholar 
Brown, J. L., Li, S. H. & Bhagabati, N. Long-term trend toward earlier breeding in an American bird: A response to global warming?. Proc. Natl. Acad. Sci. USA. 96, 5565–5569 (1999).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Miller-Rushing, A. J., Lloyd-Evans, T. L., Primack, R. B. & Satzinger, P. Bird migration times, climate change, and changing population sizes. Glob. Chang. Biol. 14, 1959–1972 (2008).ADS 
Article 

Google Scholar 
Hughes, L. Biological consequences of global warming: Is the signal already apparent?. Trends Ecol. Evol. 15, 56–61 (2000).CAS 
PubMed 
Article 

Google Scholar 
Kudo, G., Nishikawa, Y., Kasagi, T. & Kosuge, S. Does seed production of spring ephemerals decrease when spring comes early?. Ecol. Res. 19, 255–259 (2004).Article 

Google Scholar 
Doi, H., Gordo, O. & Katano, I. Heterogeneous intra-annual climatic changes drive different phenological responses at two trophic levels. Clim. Res. 36, 181–190 (2008).Article 

Google Scholar 
Both, C., Bouwhuis, S., Lessells, C. M. & Visser, M. E. Climate change and population declines in a long-distance migratory bird. Nature 441, 81–83 (2006).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Post, E. & Forchhammer, M. C. Climate change reduces reproductive success of an Arctic herbivore through trophic mismatch. Philos. Trans. R. Soc. B Biol. Sci. 363, 2369–2375 (2008).Article 

Google Scholar 
Thackeray, S. J. et al. Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments. Glob. Chang. Biol. 16, 3304–3313 (2010).ADS 
Article 

Google Scholar 
Visser, M. E. & Both, C. Shifts in phenology due to global climate change: The need for a yardstick. Proc. R. Soc. B Biol. Sci. 272, 2561–2569 (2005).Article 

Google Scholar 
Hegland, S. J., Nielsen, A., Lázaro, A., Bjerknes, A. L. & Totland, Ø. How does climate warming affect plant-pollinator interactions?. Ecol. Lett. 12, 184–195 (2009).PubMed 
Article 

Google Scholar 
Brown, C. J. et al. Quantitative approaches in climate change ecology. Glob. Chang. Biol. 17, 3697–3713 (2011).ADS 
PubMed Central 
Article 

Google Scholar 
Parmesan, C., Duarte, C., Poloczanska, E., Richardson, A. J. & Singer, M. C. Overstretching attribution. Nat. Clim. Chang. 1, 2–4 (2011).ADS 
Article 

Google Scholar 
Damos, P. & Savopoulou-Soultani, M. Temperature-driven models for insect development and vital thermal requirements. Psyche (London) 2012, (2012).Osawa, T. et al. Climate-mediated population dynamics enhance distribution range expansion in a rice pest insect. Basic Appl. Ecol. 30, 41–51 (2018).Article 

Google Scholar 
Kiritani, K. Predicting impacts of global warming on population dynamics and distribution of arthropods in Japan. Popul. Ecol. 48, 5–12 (2006).Article 

Google Scholar 
Ozawa, A., Uchiyama, T. & Kasai, A. Estimating the day on which the numbers of adult tea spiny whiteflies (Aleurocanthus camelliae Kanmiya and Kasai) peaked and the number of generations produced in a year based on the effective cumulative temperature in tea fields. Annu. Rep. Kansai Plant Prot. Soc. 58, 57–64 (2016) (in Japanese).Article 

Google Scholar 
Ozawa, A., Saito, T. & Ikeda, F. Effect of host plant and temperature on reproduction of American Serpentine Leafminer, Liriomyza trifolii (Burgess). Japan. J. Appl. Entomol. Zool. 43, 41–48 (1999) (in Japanese).Article 

Google Scholar 
Baier, P., Pennerstorfer, J. & Schopf, A. PHENIPS—A comprehensive phenology model of Ips typographus (L.) (Col., Scolytinae) as a tool for hazard rating of bark beetle infestation. For. Ecol. Manage. 249, 171–186 (2007).Article 

Google Scholar 
Karuppaiah, V. & Sujayanad, G. K. Impact of climate change on population dynamics of insect pests. (2012).Lipper, L. et al. Climate-smart agriculture for food security. Nat. Clim. Chang. 4, 1068–1072 (2014).ADS 
Article 

Google Scholar 
Campbell, B. M. et al. Reducing risks to food security from climate change. Glob. Food Sec. 11, 34–43 (2016).Article 

Google Scholar 
Kiritani, K. The low development threshold temperature and the thermal constant in insects and mites in Japan (2nd edition). Bull. Nationai Instirute Agro-Environmental Sci. 31, 1–74 (2012) (in Japanese).
Google Scholar 
Nagasawa, A., Takahashi, A. & Higuchi, H. Host plant use for oviposition by Trigonotylus caelestialium (Hemiptera: Miridae) and Stenotus rubrovittatus (Hemiptera: Miridae). Appl. Entomol. Zool. 47, 331–339 (2012).Article 

Google Scholar 
Higuchi, H. Ecology and management of rice bugs causing pecky rice. Japan. J. Appl. Entomol. Zool. 54, 171–188 (2010) (in Japanese).Article 

Google Scholar 
Ohtomo, R. Occurrence and control of Stenotus rubrovittatus (Hemiptera: Miridae) in Touhoku area in Japan. Japan. J. Appl. Entomol. Zool. 57, 137–149 (2013) (in Japanese).Article 

Google Scholar 
Kiritani, K. The impact of global warming and land-use change on the pest status of rice and fruit bugs (Heteroptera) in Japan. Glob. Chang. Biol. 13, 1586–1595 (2007).ADS 
Article 

Google Scholar 
Nagasawa, A. & Higuchi, H. Suitability of poaceous plants for nymphal growth of the pecky rice bugs Trigonotylus caelestialium and Stenotus rubrovittatus (Hemiptera: Miridae) in Niigata, Japan. Appl. Entomol. Zool. 47, 421–427 (2012).Article 

Google Scholar 
Gordo, O. & Sanz, J. J. Temporal trends in phenology of the honey bee Apis mellifera (L.) and the small white Pieris rapae (L.) in the Iberian Peninsula (1952–2004). Ecol. Entomol. 31, 261–268 (2006).Article 

Google Scholar 
Sparks, T. H. & Yates, T. J. The effect of spring temperature on the appearance dates of British butterflies 1883–1993. Ecography (Cop.) 20, 368–374 (1997).Article 

Google Scholar 
Stefanescu, C., Penuelas, J. & Filella, I. Effects of climatic change on the phenology of butterflies in the northwest Mediterranean Basin. Glob. Chang. Biol. 9, 1494–1506 (2003).ADS 
Article 

Google Scholar 
Dell, D., Sparks, T. H. & Dennis, R. L. H. Climate change and the effect of increasing spring temperatures on emergence dates of the butterfly Apatura iris (Lepidoptera: Nymphalidae). Eur. J. Entomol. 102, 161–167 (2005).Article 

Google Scholar 
Tabuchi, K. et al. Rice bugs in the Tohoku Region: Their occurrence and damage from 2003 to 2013. Bull. Natl. Agric. Res. Cent. Tohoku Reg. 117, 63–115 (2015) (in Japanese).
Google Scholar 
Jolly, W. M. & Running, S. W. Effects of precipitation and soil water potential on drought deciduous phenology in the Kalahari. Glob. Chang. Biol. 10, 303–308 (2004).ADS 
Article 

Google Scholar 
Kriticos, D. J. et al. CliMond: Global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods Ecol. Evol. 3, 53–64 (2012).Article 

Google Scholar 
Takeda, A. & Shimizu, K. Characteristics of the damaged grain caused by the sorghum plant bug, Stenotus rubrovittatus (Hemiptera: Miridae) at different infection periods. Annu. Rep. Kanto-Tosan Plant Prot. Soc. 2009, 85–87 (2009) (in Japanese).
Google Scholar 
Ishimoto, M. Seasonal Prevalence of Occurrence of the Rice Leaf Bug, Trigonotylus caelestialium (Kirkaldy) (Heteroptera: Miridae) on Paddy Rice Plants. Jpn. J. Appl. Entomol. Zool. 48, 79–85 (2004) (in Japanese).
Katase, M., Shimizu, K., Siina, S., Hagiwara, K. & Iwai, H. Seasonal occurrence of rice bugs in the northern part of Chiba Prefecture. Annu. Rep. Kanto-Tosan Plant Prot. Soc. 2007, 99–104 (2007) (in Japanese).
Google Scholar 
Shintani, Y. Effect of seasonal variation in host–plant quality on the rice leaf bug, Trigonotylus caelestialium. Entomol. Exp. Appl. 133, 128–135 (2009).Article 

Google Scholar 
Takada, M. B., Yoshioka, A., Takagi, S., Iwabuchi, S. & Washitani, I. Multiple spatial scale factors affecting mirid bug abundance and damage level in organic rice paddies. Biol. Control 60, 169–174 (2012).Article 

Google Scholar 
Yoshioka, A., Takada, M. B. & Washitani, I. Landscape effects of a non-native grass facilitate source populations of a native generalist bug, Stenotus rubrovittatus, in a heterogeneous agricultural landscape. J. Insect Sci. 14, 1–14 (2014).Article 

Google Scholar 
Watanabe, T. & Higuchi, H. Recent occurrence and problem of rice bugs. Plant Prot. 60, 201–203 (2006) (in Japanese).
Google Scholar 
Seino, H. An estimation of distribution of meteorological elements using GIS and AMeDAS data. J. Agric. Meteorol. 48, 379–383 (1993) (in Japanese).Article 

Google Scholar 
Ishigooka, Y., Tsuneo, K., Nishimori, M., Hasegawa, T. & Ohno, H. Spatial characterization of recent hot summers in Japan with agro-climatic indices related to rice production. J. Agric. Meteorol. 67, 209–224 (2011).Article 

Google Scholar 
Yamasaki, K. et al. Intraspecific variations in life history traits of two pecky rice bug species from Japan: Mapping emergence dates and number of annual generations. Ecol. Evol. (2021).Sakagami, Y. & Korenaga, R. Triangle method—A simple method for the estimation of total effective temperature. Japan. J. Appl. Entomol. Zool. 25, 52–54 (1981) (in Japanese).Article 

Google Scholar 
Shigehisa, S. Seasonal changes in egg diapause induction and effects of photoperiod and temperature on egg diapause in the sorghum plant bug, Stenotus rubrovittatus (Matsumura) (Heteroptera: Miridae). Japan. J. Appl. Entomol. Zool. 52, 229–232 (2008) (in Japanese).Article 

Google Scholar 
Ishimoto, M. Oviposition of sorghum plant bug, Stenotus rubrovittatus (Matsumura) (Heteroptera: Miridae) on rice plants. Japan. J. Appl. Entomol. Zool. 55, 193–197 (2011) (in Japanese).Article 

Google Scholar 
Ogata, M. et al. Fecundity and longevity in adults of the sorghum plant bug, Stenotus rubrovittatus (Matsumura) (Heteroptera: Miridae) under laboratory conditions. Japan. J. Entomol. 13, 129–132 (2010) (in Japanese).
Google Scholar 
Niiyama, T. & Iitomi, A. Optimal control timing of the rice leaf bug, Trigonotylus caelestialium (Heteroptera: Miridae). Annu. Rep. Soc. Plant Prot. North Japan. (in Japanese) (2003).Takeda, A., Shimizu, K., Shiina, S., Hagiwara, K. & Katase, M. Seasonal prevalence of Stenotus rubrovittatus (Hemiptera: Miridae) in a gramineous weed field and a rice field. Annu. Rep. Kanto-Tosan Plant Prot. Soc. 2008, 97–102 (2008) (in Japanese).
Google Scholar 
Niiyama, T. Studies on the ecology of Trigonotylus caelestialium and establishment of pesticide control techniques. Annu. Rep. Akita Prefect. Agric. Inst. 49, 147–180 (2009) (in Japanese).
Google Scholar 
Sato, M. Latest infestation period of Miridae causing pecky rice damage in Aomori Prefecture. Annu. Rep. Soc. Plant Prot. North Japan 2014, 129–134 (2014) (in Japanese).
Google Scholar 
Johnson, J. B. & Omland, K. S. Model selection in ecology and evolution. Trends Ecol. Evol. 19, 101–108 (2004).PubMed 
Article 

Google Scholar 
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. lmerTest package: tests in linear mixed effects models. J. Stat. Softw. 82, 1–26 (2017).Article 

Google Scholar  More

Godfray, H. C. Parasitoids: Behavioural and Evolutionary Ecology (Princeton University Press, 1994).Book 

Google Scholar 
Jervis, M. A., Ellers, J. & Harvey, J. A. Resource acquisition, allocation, and utilization in parasitoid reproductive strategies. Annu. Rev. Entomol. 53, 361–385 (2008).CAS 
PubMed 
Article 

Google Scholar 
Jervis, M. A. & Kidd, N. A. C. Host-feeding strategies in hymenopteran parasitoids. Biol. Rev. 61, 395–434 (1986).Article 

Google Scholar 
Cebolla, R., Vanaclocha, P., Urbaneja, A. & Tena, A. Overstinging by hymenopteran parasitoids causes mutilation and surplus killing of hosts. J. Pest Sci. 91, 327–339 (2018).Article 

Google Scholar 
Abram, P. K., Brodeur, J., Urbaneja, A. & Tena, A. Nonreproductive effects of insect parasitoids on their hosts. Annu. Rev. Entomol. 64, 259–276 (2019).CAS 
PubMed 
Article 

Google Scholar 
Münster-Swendsen, M. Population cycles of the spruce needle miner in Denmark driven by interactions with insect parasitoids. In Population Cycles: The Case for Trophic Interactions (ed. Berryman, A. A.) 29–43 (Oxford University Press, 2002).
Google Scholar 
Abram, P. K., Brodeur, J., Burte, V. & Boivin, G. Parasitoid-induced host egg abortion: an underappreciated component of biological control services provided by egg parasitoids. Biol. Control 98, 52–60 (2016).Article 

Google Scholar 
Vinson, S. B. & Iwantsch, G. F. Host suitability for insect parasitoids. Annu. Rev. Entomol. 25, 397–419 (1980).Article 

Google Scholar 
Heimpel, G. E. & Collier, T. R. The evolution of host-feeding behaviour in insect parasitoids. Biol. Rev. 71, 373–400 (1996).Article 

Google Scholar 
Heimpel, G. E., Rosenheim, J. A. & Adams, J. M. Behavioral ecology of host feeding in Aphytis melinus parasitoid. Nor. J. Agric. Sci. 6, 101–115 (1994).
Google Scholar 
Heimpel, G. E. & Rosenheim, J. A. Dynamic host feeding by the parasitoid Aphytis melinus: the balance between current and future reproduction. J. Anim. Ecol. 64, 153–167 (1995).Article 

Google Scholar 
Choi, W. I., Yoon, T. J. & Ryoo, M. I. Host-size-dependent feeding behaviour and progeny sex ratio of Anisopteromalus calandrae (Hym., Pteromalidae). J. Appl. Entomol. 125, 71–77 (2001).Article 

Google Scholar 
Burger, J. M. S., Hemerik, L., Leteren, J. C. & Vet, L. E. M. Reproduction now or later: optimal host-handling strategies in the whitefly parasitoid Encasia formosa. Oikos 106, 117–130 (2004).Article 

Google Scholar 
Guillemaud, T. et al. The tomato borer, Tuta absoluta, invading the Mediterranean Basin, originates from a single introduction from Central Chile. Sci. Rep. 5, 8371 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Desneux, N., Luna, M. G., Guillemaud, T. & Urbaneja, A. The invasive South American tomato pinworm, Tuta absoluta, continues to spread in Afro-Eurasia and beyond: the new threat to tomato world production. J. Pest Sci. 84, 403–408 (2011).Article 

Google Scholar 
Desneux, N. et al. Biological invasion of European tomato crops by Tuta absoluta: ecology, geographic expansion and prospects for biological control. J. Pest Sci. 83, 197–215 (2010).Article 

Google Scholar 
Biondi, A., Guedes, R. N. C., Wan, F. H. & Desneux, N. Ecology, worldwide spread and management of the invasive South American tomato pinworm, Tuta absoluta: past, present and future. Annu. Rev. Entomol. 63, 239–258 (2018).CAS 
PubMed 
Article 

Google Scholar 
Campos, M. R., Biondi, A., Adiga, A., Guedes, R. N. C. & Desneux, N. From the Western Palaearctic region to beyond: Tuta absoluta 10 years after invading Europe. J. Pest Sci. 90, 787–796 (2017).Article 

Google Scholar 
Han, P. et al. Are we ready for the invasion of Tuta absoluta? Unanswered key questions for elaborating an integrated pest management package in Xinjiang, China. Entomol. Gen. 38, 125 (2018).
Google Scholar 
Han, P. et al. Tuta absoluta continues to disperse in Asia: damage, ongoing management and future challenges. J. Pest Sci. 92, 1317–1327 (2019).Article 

Google Scholar 
Mansour, R. et al. Occurrence, biology, natural enemies and management of Tuta absoluta in Africa. Entomol. Gen. 38, 83–111 (2018).Article 

Google Scholar 
Zhang, G. F. et al. Outbreak of the South American tomato leafminer, Tuta absoluta, in the Chinese mainland: geographic and potential host range expansion. Pest Manag. Sci. 77, 5475–5488 (2021).CAS 
PubMed 
Article 

Google Scholar 
Desneux, N. et al. Integrated pest management of Tuta absoluta: practical implementations across different world regions. J. Pest Sci. 95, 17–39 (2022).Article 

Google Scholar 
Wang, M. H. et al. Polygyny of Tuta absoluta may affect sex pheromone-based control techniques. Entomol. Gen. 41, 357–367 (2021).Article 

Google Scholar 
Rostami, E., Madadi, H., Abbasipour, H., Allahyari, H. & Cuthbertson, A. G. S. Pest density influences on tomato pigment contents: the South American tomato pinworm scenario. Entomol. Gen. 40, 195–205 (2020).Article 

Google Scholar 
Desneux, N., Decourtye, A. & Delpuech, J. M. The sublethal effects of pesticides on beneficial arthropods. Annu. Rev. Entomol. 52, 81–106 (2007).CAS 
PubMed 
Article 

Google Scholar 
Gebiola, M., Bernardo, U., Ribes, A. & Gibson, G. A. P. An integrative study of Necremnus Thomson (Hymenoptera: Eulophidae) associated with invasive pests in Europe and North America: taxonomic and ecological implications. Zool. J. Linn. Soc. 173, 352–423 (2015).PubMed 
PubMed Central 
Article 

Google Scholar 
Naselli, M. et al. Insights into food webs associated with the South American tomato pinworm. Pest Manag. Sci. 73, 1352–1357 (2017).CAS 
PubMed 
Article 

Google Scholar 
Campos, M. R. et al. Impact of a shared sugar food source on biological control of Tuta absoluta by the parasitoid Necremnus tutae. J. Pest Sci. 93, 207–218 (2020).Article 

Google Scholar 
Zhang, Y. B. et al. Host selection behavior of the host-feeding parasitoid Necremnus tutae on Tuta absoluta. Entomol. Gen. https://doi.org/10.1127/entomologia/2021/1246 (2021).Article 

Google Scholar 
Bodino, N., Ferracini, C. & Tavella, L. Is host selection influenced by natal and adult experience in the parasitoid Necremnus tutae (Hymenoptera: Eulophidae)?. Anim. Behav. 112, 221–228 (2016).Article 

Google Scholar 
Biondi, A., Desneux, N., Amiens-Desneux, E., Siscaro, G. & Zappalà, L. Biology and developmental strategies of the Palaearctic parasitoid, Bracon nigricans (Hymenoptera: Braconidae) on the Neotropical moth Tuta absoluta (Lepidoptera: Gelechiidae). J. Econ. Entomol. 106, 1638–1647 (2013).PubMed 
Article 

Google Scholar 
Foltyn, S. & Gerling, D. The parasitoids of the aleyrodid Bemisia tabaci in Israel. Development, host preference and discrimination of the aphelinid Eretmocerus mundus. Entomol. Exp. Appl. 38, 255–260 (1985).Article 

Google Scholar 
Zhang, Y. B., Yang, N. W., Sun, L. Y. & Wan, F. H. Host instar suitability in two invasive whiteflies for the naturally occurring parasitoid Eretmocerus hayati in China. J. Pest Sci. 88(2), 1612–1618 (2015).
Google Scholar 
Lebreton, S., Darrouzet, E. & Chevrier, C. Could hosts considered as low quality for egg-laying be considered as high quality for host-feeding?. J. Insect Physiol. 55, 694–699 (2009).CAS 
PubMed 
Article 

Google Scholar 
Calvo, F. J., Soriano, J. D., Bolckmans, K. & Belda, J. E. Host instar suitability and life-history parameters under different temperature regimes of Necremnus artynes on Tuta absoluta. Biocontrol Sci. Technol. 23(7), 803–815 (2013).Article 

Google Scholar 
Chailleux, A., Desneux, N., Arnó, J. & Gabarra, R. Biology of two key Palaearctic larval ectoparasitoids when parasitizing the invasive pest Tuta absoluta. J. Pest Sci. 87(3), 441–448 (2014).Article 

Google Scholar 
Asgari, S. & Rivers, D. B. Venom proteins from endoparasitoid wasps and their role in host-parasite interactions. Annu. Rev. Entomol. 56, 313–335 (2011).CAS 
PubMed 
Article 

Google Scholar 
Abram, P. K., Gariepy, T. D., Boivin, G. & Brodeur, J. An invasive stink bug as an evolutionary trap for an indigenous egg parasitoid. Biol. Invasions 16, 1387–1395 (2014).Article 

Google Scholar 
Schlaepfer, M. A., Sherman, P. W., Blossey, B. & Runge, M. C. Introduced species as evolutionary traps. Ecol. Lett. 8, 241–246 (2005).Article 

Google Scholar 
van Driesche, R. G., Bellotti, A., Herrera, C. J. & Castello, J. A. Host feeding and ovipositor insertion as sources of mortality in the mealybug Phenacoccus herreni caused by two encyrtids, Epidinocarsis diversicornis and Acerophagus coccois. Entomol. Exp. Appl. 44, 97–100 (1987).Article 

Google Scholar 
Barrett, B. & Brunner, J. Types of parasitoid-induced mortality, host stage preferences, and sex ratios exhibited by Pnigalio flavipes (Hymenoptera: Eulophidae) using Phyllonorycter elmaella (Lepidoptera: Gracillaridae) as a host. Environ. Entomol. 19, 803–807 (1990).Article 

Google Scholar 
Huang, Y., Loomans, A. J. M., van Lenteren, J. C. & Xu, R. M. Hyperparasitism behavior of the autoparasitoid Encarsia tricolor on two secondary host species. BioControl 54, 411–424 (2009).Article 

Google Scholar 
Patel, K. J., Schuster, D. J. & Smerage, G. H. Density dependent parasitism and host-killing of Liriomyza trifolii (Diptera: Agromyzidae) by Diglyphus intermedius (Hymenoptera: Eulophidae). Fla. Entomol. 86, 8–14 (2003).Article 

Google Scholar 
Lauziere, I., Perez-Lachaud, G. & Bordeur, J. Influence of host density on the reproductive strategy of Cephalonomia stephanoderis, a parasitoid of the coffee berry borer. Entomol. Exp. Appl. 92, 21–28 (1999).Article 

Google Scholar 
Blanckenhorn, W. U. The evolution of body size: what keeps organisms small?. Quart. Rev. Biol. 75(4), 385–407 (2000).CAS 
PubMed 
Article 

Google Scholar 
Idriss, G. E. A., Mohamed, S. A., Khamis, F., Plessis, H. D. & Ekesi, S. Biology and performance of two indigenous larval parasitoids on Tuta absoluta (Lepidoptera: Gelechiidae) in Sudan. Biocontrol Sci. Technol. 28(6), 614–628 (2018).Article 

Google Scholar 
Blanckenhorn, W. U., Preziosi, R. F. & Fairbairn, D. J. Time and energy constraints and the evolution of sexual size dimorphism-to eat or to mate?. Evol. Ecol. 9, 369–381 (1995).Article 

Google Scholar 
Blomqvist, D., Johansson, O. C., Unger, U., Larsson, M. & Flodin, L. A. Male aerial display and reversed sexual size dimorphism in the dunlin. Anim. Behav. 54, 1291–1299 (1997).CAS 
PubMed 
Article 

Google Scholar 
Simmons, L. W., Tomkins, J. L. & Hunt, J. Sperm competition games played by dimorphic male beetles. Proc. R. Soc. Lond. B 266, 145–150 (1999).Article 

Google Scholar 
Madsen, T. & Shine, R. Costs of reproduction influence the evolution of sexual size dimorphism in snakes. Evolution 48, 1389–1397 (1994).PubMed 
Article 

Google Scholar 
Blanckenhorn, W. U., Morf, C., Mühlhäuser, C. & Reusch, T. Spatiotemporal variation in selection on body size in the dung fly Sepsis cynipsea. J. Evol. Biol. 9, 369–381 (1999).
Google Scholar  More

USDA, N. Census of Horticultural Specialties (USDA, 2014).
Google Scholar 
USDA, N. Census of Horticultural Specialties (USDA, 2019).
Google Scholar 
Soliman, A. S. & Shanan, N. T. The role of natural exogenous foliar applications in alleviating salinity stress in Lagerstroemia indica L. seedlings. J. Appl. Hortic. 19, 35–45 (2017).Article 

Google Scholar 
Chappell, M. R., Braman, S. K., Williams-Woodward, J. & Knox, G. J. J. o. E. H. Optimizing plant health and pest management of Lagerstroemia spp. in commercial production and landscape situations in the southeastern United States: A review. 30, 161–172 (2012).Gu, M., Merchant, M., Robbins, J. & Hopkins, J. Crape Myrtle Bark Scale: A New Exotic Pest. Texas A&M AgriLife Ext. Service. EHT 49 (2014).Kondo, T., Gullan, P. J. & Williams, D. J. Coccidology. The study of scale insects (Hemiptera: Sternorrhyncha: Coccoidea). Ciencia y Tecnología Agropecuaria 9, 55–61 (2008).Article 

Google Scholar 
Jiang, N. & Xu, H. Observertion on Eriococcus lagerostroemiae Kuwana. J. Anhui Agric. Coll. 25, 142–144 (1998).
Google Scholar 
He, D., Cheng, J., Zhao, H. & Chen, S. Biological characteristic and control efficacy of Eriococcus lagerstroemiae. Chin. Bull. Entomol. 45, 812–814 (2008).
Google Scholar 
Harcourt, D. The development and use of life tables in the study of natural insect populations. Annu. Rev. Entomol. 14, 175–196 (1969).Article 

Google Scholar 
Leslie, P. H. On the use of matrices in certain population mathematics. Biometrika 33, 183–212 (1945).MathSciNet 
CAS 
PubMed 
MATH 
Article 

Google Scholar 
Birch, L. The intrinsic rate of natural increase of an insect population. J. Anim. Ecol., 15–26 (1948).Chi, H. Life-table analysis incorporating both sexes and variable development rates among individuals. Environ. Entomol. 17, 26–34 (1988).Article 

Google Scholar 
Chi, H. & Liu, H. Two new methods for the study of insect population ecology. Bull. Inst. Zool. Acad. Sin 24, 225–240 (1985).
Google Scholar 
Fathipour, Y. & Maleknia, B. in Ecofriendly Pest Management for Food Security (ed Omkar) 329–366 (Academic Press, 2016).Auad, A. et al. The impact of temperature on biological aspects and life table of Rhopalosiphum padi (Hemiptera: Aphididae) fed with signal grass. Fla. Entomol. 569–577 (2009).Qu, Y. et al. Sublethal and hormesis effects of beta-cypermethrin on the biology, life table parameters and reproductive potential of soybean aphid Aphis glycines. Ecotoxicology 26, 1002–1009 (2017).CAS 
PubMed 
Article 

Google Scholar 
Araujo, E. S., Benatto, A., Mogor, A. F., Penteado, S. C. & Zawadneak, M. A. Biological parameters and fertility life table of Aphis forbesi Weed, 1889 (Hemiptera: Aphididae) on strawberry. Braz. J. Biol. 76, 937–941. https://doi.org/10.1590/1519-6984.04715 (2016).CAS 
Article 
PubMed 

Google Scholar 
Krishnamoorthy, S. V. & Mahadevan, N. R. Life table studies of sugarcane scale, Melanaspis glomerata G. J. Entomol. Res. 27, 203–212 (2003).
Google Scholar 
Uematsu, H. Studies on life table for an armored scale insect, Aonidiella taxus Leonardi (Homoptera: Diaspididae). J. Fac. Agric. Kyushu Univ. (1979).Hill, M. G., Mauchline, N. A., Hall, A. J. & Stannard, K. A. Life table parameters of two armoured scale insect (Hemiptera: Diaspididae) species on resistant and susceptible kiwifruit (Actinidia spp.) germplasm. N. Z. J. Crop Hortic. Sci. 37, 335–343 (2009).Article 

Google Scholar 
Yong, C. X. W. Z. C. & Shaoyun, Z. J. Y. S. W. Age-specific life table of chinese white wax scale (Ericerus pela) natural population and analysis of death key factors. Scientia Silvae Sinica 9 (2008).Rosado, J. F. et al. Natural biological control of green scale (Hemiptera: Coccidae): a field life-table study. Biocontrol. Sci. Technol. 24, 190–202 (2014).Article 

Google Scholar 
Fand, B. B., Gautam, R. D., Chander, S. & Suroshe, S. S. Life table analysis of the mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) under laboratory conditions. J. Entomol. Res. 34, 175–179 (2010).
Google Scholar 
Vargas-Madríz, H. et al. Life and fertility table of Bactericera cockerelli (Hemiptera: Triozidae), under different fertilization treatments in the 7705 tomato hybrid. Rev. Chil. entomol. 39 (2014).Huang, Y. B. & Chi, H. Age-stage, two-sex life tables of Bactrocera cucurbitae (Coquillett)(Diptera: Tephritidae) with a discussion on the problem of applying female age-specific life tables to insect populations. Insect Sci. 19, 263–273 (2012).Article 

Google Scholar 
Saska, P. et al. Leaf structural traits rather than drought resistance determine aphid performance on spring wheat. J. Pest. Sci. 94, 423–434 (2021).Article 

Google Scholar 
Ma, K., Tang, Q., Xia, J., Lv, N. & Gao, X. Fitness costs of sulfoxaflor resistance in the cotton aphid, Aphis gossypii Glover. Pestic. Biochem. Physiol. 158, 40–46 (2019).CAS 
PubMed 
Article 

Google Scholar 
Ullah, F. et al. Fitness costs in clothianidin-resistant population of the melon aphid, Aphis gossypii. PLoS ONE 15, e0238707 (2020).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Güncan, A. & Gümüş, E. Influence of different hazelnut cultivars on some demographic characteristics of the filbert aphid (Hemiptera: Aphididae). J. Econ. Entomol. 110, 1856–1862 (2017).PubMed 
Article 

Google Scholar 
Bailey, R., Chang, N.-T., Lai, P.-Y. & Hsu, T.-C. Life table of cycad scale, Aulacaspis yasumatsui (Hemiptera: Diaspididae), reared on Cycas in Taiwan. J. Asia Pac. Entomol. 13, 183–187 (2010).Article 

Google Scholar 
Wang, Z., Chen, Y. & Diaz, R. Temperature-dependent development and host range of crapemyrtle bark scale, Acanthococcus lagerstroemiae (Kuwana)(Hemiptera: Eriococcidae). Fla. Entomol. 102, 181–186 (2019).Article 

Google Scholar 
Zhang, Z.-J. et al. A determining factor for insect feeding preference in the silkworm, Bombyx mori. PLoS Biol. 17, e3000162 (2019).PubMed 
PubMed Central 
Article 

Google Scholar 
Wang, Z., Chen, Y., Diaz, R. & Laine, R. A. Physiology of crapemyrtle bark scale, Acanthococcus lagerstroemiae (Kuwana), associated with seasonally altered cold tolerance. J. Insect Physiol. 112, 1–8 (2019).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Suh, S.-J. Notes on some parasitoids (Hymenoptera: Chalcidoidea) associated with Acanthococcus lagerstroemiae (Kuwana)(Hemiptera: Eriococcidae) in the Republic of Korea. Insecta mundi 0690, 1–5 (2019).
Google Scholar 
Meindl, G. A., Bain, D. J. & Ashman, T.-L. Edaphic factors and plant–insect interactions: Direct and indirect effects of serpentine soil on florivores and pollinators. Oecologia 173, 1355–1366 (2013).ADS 
PubMed 
Article 

Google Scholar 
Wielgolaski, F. E. Phenological modifications in plants by various edaphic factors. Int. J. Biometeorol. 45, 196–202 (2001).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Uchida, R. in Plant nutrient management in Hawaii’s soils (ed Raymond S. Uchida James A. Silva) 31–55 (University of Hawaii at Manoa, College of Agriculture & Tropical Resources, 2000).Flanders, S. E. Observations on host plant induced behavior of scale insects and their endoparasites. Can. Entomol. 102, 913–926 (1970).Article 

Google Scholar 
Yang, T.-C. & Chi, H. Life tables and development of Bemisia argentifolii (Homoptera: Aleyrodidae) at different temperatures. J. Econ. Entomol. 99, 691–698 (2006).PubMed 
Article 

Google Scholar 
Tuan, S. J., Lee, C. C. & Chi, H. Population and damage projection of Spodoptera litura (F.) on peanuts (Arachis hypogaea L.) under different conditions using the age-stage, two-sex life table. Pest Manag. Sci. 70, 805–813 (2014).CAS 
PubMed 
Article 

Google Scholar 
Vafaie, E. et al. Seasonal population patterns of a new scale pest, Acanthococcus lagerstroemiae Kuwana (Hemiptera: Sternorrhynca: Eriococcidae), of Crapemyrtles in Texas, Louisiana, and Arkansas. J. Environ. Hortic. 38, 8–14 (2020).Article 

Google Scholar 
Vafaie, E. K. Bark and systemic insecticidal control of Acanthococcus (= Eriococcus) lagerstroemiae (Hemiptera: Eriococcidae) on Potted Crapemyrtles, 2017. Arthropod manag. tests 44, tsy109 (2019).Vafaie, E. K. & Knight, C. M. J. A. M. T. Bark and systemic insecticidal control of Acanthococcus (= Eriococcus) lagerstroemiae (Crapemyrtle Bark Scale) on Landscape Crapemyrtles, 2016. 42, tsx130 (2017).Vafaie, E. & Gu, M. Insecticidal control of crapemyrtle bark scale on potted crapemyrtles, Fall 2018. Arthropod. Manag. Tests 44, tsz061 (2019).Article 

Google Scholar 
Aktar, M. W., Sengupta, D. & Chowdhury, A. J. I. t. Impact of pesticides use in agriculture: their benefits and hazards. 2, 1 (2009).Grafton-Cardwell, E. & Vehrs, S. Monitoring for organophosphate-and carbamate-resistant armored scale (Homoptera: Diaspididae) in San Joaquin valley citrus. J. Econ. Entomol. 88, 495–504 (1995).CAS 
Article 

Google Scholar 
Almarinez, B. J. M. et al. Biological control: A major component of the pest management program for the invasive coconut scale insect, Aspidiotus rigidus Reyne, in the Philippines. Insects 11, 745 (2020).PubMed Central 
Article 

Google Scholar 
Grout, T. & Richards, G. Value of pheromone traps for predicting infestations of red scale, Aonidiella aurantii (Maskell)(Hom., Diaspididae), limited by natural enemy activity and insecticides used to control citrus thrips, Scirtothrips aurantii Faure (Thys., Thripidae). J. Appl. Entomol. 111, 20–27 (1991).Article 

Google Scholar 
Grafton-Cardwell, E., Millar, J., O’Connell, N. & Hanks, L. Sex pheromone of yellow scale, Aonidiella citrina (Homoptera: Diaspididae): Evaluation as an IPM tactic. J. Agric. Urban. Entomol. 17, 75–88 (2000).CAS 

Google Scholar 
Jactel, H., Menassieu, P., Lettere, M., Mori, K. & Einhorn, J. Field response of maritime pine scale, Matsucoccus feytaudi Duc. (Homoptera: Margarodidae), to synthetic sex pheromone stereoisomers. J. Chem. Ecol. 20, 2159–2170 (1994).CAS 
PubMed 
Article 

Google Scholar 
Mendel, Z. et al. Outdoor attractancy of males of Matsucoccus josephi (Homoptera: Matsucoccidae) and Elatophilus hebraicus (Hemiptera: Anthocoridae) to synthetic female sex pheromone of Matsucoccus josephi. J. Chem. Ecol. 21, 331–341 (1995).CAS 
PubMed 
Article 

Google Scholar 
Zada, A. et al. Sex pheromone of the citrus mealybug Planococcus citri: Synthesis and optimization of trap parameters. J. Econ. Entomol. 97, 361–368 (2004).CAS 
PubMed 
Article 

Google Scholar 
Zhang, Z. & Shi, Y. Studies on the Morphology and Biology of Eriococcus Lagerstroemiae Kuwana. J. Shandong Agri. Univ. 2 (1986).Savopoulou-Soultani, M., Papadopoulos, N. T., Milonas, P. & Moyal, P. Abiotic factors and insect abundance. PSYCHE 2012 (2012).Vandegehuchte, M. L., de la Pena, E. & Bonte, D. Relative importance of biotic and abiotic soil components to plant growth and insect herbivore population dynamics. PLoS ONE 5, e12937 (2010).ADS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Clavijo McCormick, A. Can plant–natural enemy communication withstand disruption by biotic and abiotic factors?. Ecol. Evol. 6, 8569–8582 (2016).PubMed 
PubMed Central 
Article 

Google Scholar 
Nebapure, S. M. & Sagar, D. Insect-plant interaction: A road map from knowledge to novel technology. Karnataka J. Agric. Sci. 28, 1–7 (2015).
Google Scholar 
Murashige, T. & Skoog, F. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol. Plant. 15, 473–497 (1962).CAS 
Article 

Google Scholar 
Hogendorp, B. K., Cloyd, R. A. & Swiader, J. M. Effect of nitrogen fertility on reproduction and development of citrus mealybug, Planococcus citri Risso (Homoptera: Pseudococcidae), feeding on two colors of coleus Solenostemon scutellarioides L. Codd. Environ. Entomol. 35, 201–211 (2006).Article 

Google Scholar 
Lema, K. & Mahungu, N. in Tropical root crops: Production and uses in Africa: proceedings of the Second Triennial Symposium of the International Society for Tropical Root Crops-Africa Branch held in Douala, Cameroon, 14-19 Aug. 1983. (IDRC, Ottawa, ON, CA).McClure, M. S. Dispersal of the scale Fiorinia externa (Homoptera: Diaspididae) and effects of edaphic factors on its establishment on hemlock. Environ. Entomol. 6, 539–544 (1977).Article 

Google Scholar 
Salama, H., Amin, A. & Hawash, M. Effect of nutrients supplied to citrus seedlings on their susceptibility to infestation with the scale insects Aonidiella aurantii (Maskell) and Lepidosaphes beckii (Newman)(Coccoidea). Zeitschrift für Angewandte Entomologie 71, 395–405 (1972).Article 

Google Scholar 
Rasmann, S. & Pellissier, L. in Climate Change and Insect Pests Vol. 8 (ed P. Niemelä C. Björkman) 38–53 (Wallingford, UK: CAB Int., 2015).Wang, Z. & Li, S. Effects of nitrogen and phosphorus fertilization on plant growth and nitrate accumulation in vegetables. J. Plant Nutr. 27, 539–556 (2004).CAS 
Article 

Google Scholar 
Da Costa, P. B. et al. The effects of different fertilization conditions on bacterial plant growth promoting traits: Guidelines for directed bacterial prospection and testing. Plant Soil. 368, 267–280 (2013).Article 

Google Scholar 
Dong, H., Kong, X., Li, W., Tang, W. & Zhang, D. Effects of plant density and nitrogen and potassium fertilization on cotton yield and uptake of major nutrients in two fields with varying fertility. Field Crops Res. 119, 106–113 (2010).Article 

Google Scholar 
Aulakh, M., Dev, G. & Arora, B. Effect of sulphur fertilization on the nitrogen–sulphur relationships in alfalfa (Medicago sativa L. Pers.). Plant Soil. 45, 75–80 (1976).CAS 
Article 

Google Scholar 
Powell, G., Tosh, C. R. & Hardie, J. Host plant selection by aphids: Behavioral, evolutionary, and applied perspectives. Annu. Rev. Entomol. 51, 309–330 (2006).CAS 
PubMed 
Article 

Google Scholar 
Sauge, M. H., Grechi, I. & Poëssel, J. L. Nitrogen fertilization effects on Myzus persicae aphid dynamics on peach: Vegetative growth allocation or chemical defence?. Entomol. Exp. Appl. 136, 123–133 (2010).CAS 
Article 

Google Scholar 
Chen, Y., Serteyn, L., Wang, Z., He, K. & Francis, F. Reduction of plant suitability for corn leaf aphid (Hemiptera: Aphididae) under elevated carbon dioxide condition. Environ. Entomol. (2019).Miller, D. R. & Kosztarab, M. Recent advances in the study of scale insects. Annu. Rev. Entomol. 24, 1–27 (1979).CAS 
Article 

Google Scholar 
Hardy, N. B., Peterson, D. A. & Normark, B. B. Scale insect host ranges are broader in the tropics. Biol. Lett. 11, 20150924 (2015).PubMed 
PubMed Central 
Article 

Google Scholar 
Chen, Q. et al. Age-stage, two-sex life table of Parapoynx crisonalis (Lepidoptera: Pyralidae) at different temperatures. PLoS ONE 12, e0173380 (2017).PubMed 
PubMed Central 
Article 

Google Scholar 
Li, X. et al. Density-dependent demography and mass-rearing of Carposina sasakii (Lepidoptera: Carposinidae) incorporating life table variability. J. Econ. Entomol. 112, 255–265 (2019).PubMed 
Article 

Google Scholar 
Ning, S., Zhang, W., Sun, Y. & Feng, J. Development of insect life tables: comparison of two demographic methods of Delia antiqua (Diptera: Anthomyiidae) on different hosts. Sci. Rep. 7, 1–10 (2017).ADS 
Article 

Google Scholar 
TWOSEX-MSChart: A computer program for the age-stage, two-sex life table analysis (2020).Goodman, D. Optimal life histories, optimal notation, and the value of reproductive value. Am. Nat. 119, 803–823 (1982).MathSciNet 
Article 

Google Scholar 
Efron, B. & Tibshirani, R. J. An Introduction to the Bootstrap (CRC Press, 1994).MATH 
Book 

Google Scholar  More

Lehtonen12 presents three simple models with the same broad structure: a single mutant individual with divergent mating behaviour arises in a population of ‘residents’ that all play the same strategy, and the success of that mutant is then followed (Figs. 1, 2). Specifically, Lehtonen investigates the fitness benefits of increased mating for mutant males in comparison to mutant females. Two important parameters can be varied: (i) the degree of anisogamy (defined here as the ratio of sperm number to egg number), which captures how divergent males and females are in the size (and thus number) of gametes they produce, and (ii) the efficiency of fertilisation, which determines how easily gametes can find and fuse with each other. If fertilisation is highly efficient, then gametes of the less numerous type will achieve nearly full fertilisation; on the other hand, inefficient fertilisation can result in gametes of both sexes going unfertilised.Fig. 2: Structure of the three models of Lehtonen12, showing differences in mating behaviour between resident males (green), resident females (blue) and mutant males and females (both yellow).For illustration, we suppose that females produce four eggs each and males produce eight sperm (the anisogamy ratio in nature is typically much higher). In Model 1, resident individuals spawn monogamously in a ‘nest’ (black outline), whereas mutant males and females can bring additional partners to their nest to spawn in a group. In Model 2, resident individuals divide their gametes equally among m spawning groups, each consisting of m individuals of each sex (shown here with m = 2). Mutant males and females instead divide their gametes among a larger or smaller number of groups, mmutant (shown here with mmutant = 4). In Model 3, there is a further sex asymmetry in addition to anisogamy: Fertilisation takes place inside the female’s body. Resident individuals mate with m partners (shown here with m = 2), whereas mutant males and females mate with a larger or smaller number of partners, mmutant (shown here with mmutant = 4).Full size imageIn the first two models, fertilisation is external and no assumptions are made about pre-existing differences between the sexes apart from the number of gametes they produce. In other words, males and females are identical except that males produce sperm in greater numbers than females produce eggs. In Model 1, resident individuals are assumed to mate monogamously, whereas a mutant can monopolise multiple partners of the opposite sex (Fig. 2). Importantly, both male and female mutants can bring additional partners back to their ‘nest’ to spawn in a group. When fertilisation is highly efficient, females can fertilise all of their eggs by bringing back a single male, and there is simply no benefit (in this model) of seeking further partners (Fig. 1A). In contrast, anisogamy means that males always produce at least some gametes in excess, and thus can benefit from seeking additional mates. When fertilisation is inefficient, however, both sexes benefit from increasing the concentration of opposite-sex gametes at their ‘nest’ (Fig. 1B). This latter benefit is sex-symmetric, whereas the former continues to apply only to males. As a consequence, the Bateman gradients are always steeper for males than for females (Fig. 1A, B), confirming Bateman’s argument.Model 2 similarly assumes external fertilisation, but in this case the resident males and females meet in groups consisting of m individuals of each sex (Fig. 2). Fertilisation occurs via group spawning. It is assumed that each resident individual divides its gametes evenly across M groups, whereas mutant individuals can instead spread their gametes over a larger or smaller number of groups (note that the author assumes that M = m, but this assumption could be relaxed without undermining the core argument). Spreading gametes out across a larger number of spawning groups does not increase the concentration of opposite-sex gametes they encounter (Fig. 2). However, a mutant that spreads its gametes more widely reduces the density of its own gametes across those groups in which it spawns. This in turn results in there being more opposite-sex gametes for each gamete of the mutant’s sex in those groups. For example, in Fig. 2, mutant males spawn in twice as many groups as resident males and thereby halve the density of their own sperm in each group. The resulting egg-to-sperm ratio of (frac{4}{6}=frac{2}{3}) is more favourable than the ratio of (frac{4}{8}=frac{1}{2}) that the resident males experience. Mutant females can similarly increase local sperm-to-egg ratios by spreading their eggs over more groups. However, in contrast to males, this only leads to fitness benefit if fertilisation is inefficient, and even then the benefit to females is very modest (scarcely perceptible in Fig. 1D). Gamete spreading reduces wasteful competition among the mutants’ own gametes for fertilisation. Such ‘local’ gamete competition, like gamete competition more generally, is stronger among sperm than among eggs because sperm are more numerous under anisogamy13,14. Consequently, as in Model 1, Bateman gradients are always steeper in males (Fig. 1C, D). Recall that the results of the above models emerge in the absence of any assumptions beyond the sex difference in the number of gametes produced.The third and final model allows for a further pre-existing difference between the sexes in addition to anisogamy: internal fertilisation, which is common and widespread in animals (Fig. 2)15. Each female is assumed to mate with m males, while each male divides his gametes evenly among m females. As in the previous two models, males benefit more than females from additional matings under most conditions. However, in the particular case where fertilisation is highly inefficient and the ratio of sperm to eggs is not too large, the pattern can theoretically reverse, such that female Bateman gradients exceed their male counterparts (Fig. 1F). The reason is that the effects of gamete concentration are asymmetric under internal fertilisation: Multiple mating by a female increases the local concentration of sperm its eggs experience, whereas a male’s multiple mating does not increase the concentration of eggs around its sperm (Fig. 2). Under conditions of severe sperm limitation—due to both weak anisogamy and highly inefficient fertilisation—this can lead to females benefitting more from additional matings than males (Fig. 1F). Although intriguing, it is unclear whether this finding has any empirical relevance, as sperm limitation is probably rarely severe in internal fertilisers. Under more realistic conditions of moderate to high fertilisation rates, sex differences in the degree of local gamete competition once again become decisive, and male Bateman gradients exceed their female counterparts (Fig. 1E). More

Clemens, R. et al. Oats, more than just a whole grain: an introduction. Br. J. Nutr. 112, S1–S3 (2014).CAS 
PubMed 
Article 

Google Scholar 
Stewart, D. & Mcdougal, G. Oat agriculture, cultivation and breeding targets: implications for human nutrition and health. Br. J. Nutr. 2, 50–57 (2014).Article 
CAS 

Google Scholar 
Ren, C. Z. et al. “Twelfth Five-Year” Development Report of China’s Oat and Buckwheat Industry. Xi’an: Shaanxi Science and Technology Press, 2011–2015 (2016).Gleick, P. H. & Palaniappan, M. Peak water limits to freshwater withdrawal and use. Proc. Indian Natl. Sci. Acad. 107, 11155–11162 (2010).ADS 
CAS 

Google Scholar 
Yu, L., Zhao, X., Gao, X. & Siddique, K. H. M. Improving/maintaining water-use efficiency and yield of wheat by deficit irrigation: A global meta-analysis. Agric. Water Manag. 228, 105906 (2020).Article 

Google Scholar 
Bai, W., Zhang, H., Liu, B., Wu, Y. & Song, J. Effects of super-absorbent polymers on the physical and chemical properties of soil following different wetting and drying cycles. Soil Use Manag. 26, 253–260 (2010).Article 

Google Scholar 
Döll, P. Impact of climate change and variability on irrigation requirements: A global perspective. Clim. Change 54, 269–293 (2002).ADS 
Article 

Google Scholar 
Harris, F. et al. The water use of Indian diets and socio- demographic factors related to dietary blue water footprint. Sci. Total Environ. 587, 128–136 (2017).ADS 
PubMed 
Article 
CAS 

Google Scholar 
Unesco. Water and jobs: Facts and figures. Perugia, Italy: UNESCO, World Water Assessment Program. Retrieved from http://unesdoc.unesco.org/images/0024/002440/244041e.pdf (2016).Landi, A. et al. Land suitability evaluation for surface, sprinkle and drip irrigation methods in Fakkeh Plain. Iran. J. Appl. Anim. Sci. 8, 3646–3653 (2008).ADS 

Google Scholar 
Kang, S. et al. Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice. Agric. Water Manag. 179, 5–17 (2017).Article 

Google Scholar 
Yang, D. et al. Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China. Agric. Water Manag. 232, 106001 (2020).Article 

Google Scholar 
Xu, S. T., Zhang, L., Neil, B. & McLaughlin, Mi. Effect of synthetic and natural water absorbing soil amendment soil physical properties under potato production in a semi-arid region. Soil Till. Res. 148, 31–39 (2015).Article 

Google Scholar 
Roper, M. M., Ward, P. R., Keulen, A. F. & Hill, J. R. Under no-tillage and stubble retention, soil water content and crop growth are poorly related to soil water repellency. Soil Till. Res. 126, 143–150 (2013).Article 

Google Scholar 
Zhao, H. et al. Ridge-furrow with full plasticfilm mulching improves water use efficiency and tuber yields of potato in a se miarid rainfed ecosystem. Field Crop Research. 161, 137–148 (2014).Article 

Google Scholar 
Li, J. et al. Effects of micro-sprinkling with different irrigation amount on grain yield and water use efficiency of winter wheat in the North China Plain. Agric. Water Manag. 224, 105736 (2019).Article 

Google Scholar 
Chouhan, S. S., Awasthi, M. K. & Nema, R. K. Studies on water productivity and yields responses of wheat based on drip irrigation systems in clay loam soil. Indian J. Sci. Technol. 8, 650 (2015).Article 

Google Scholar 
Liao, L., Zhang, L. & Bengtsson, L. Soil moisture variation and water consumption of spring wheat and their effects on crop yield under drip irrigation. Irrigat. Drainag. Syst. 22, 253–270 (2008).Article 

Google Scholar 
Jha, S. K. et al. Response of growth, yield and water use efficiency of winter wheat to different irrigation methods and scheduling in North China Plain. Agric. Water Manag. 217, 292–302 (2019).Article 

Google Scholar 
Yan, Z., Fengxin, W., Qi, Z., Kaijing, Y. & Youliang, Z. Effect of drip tape distance and irrigation amount on spring wheat yield and water use efficiency. Chin. Agric. Sci. Bull. 32, 194–199 (2016).
Google Scholar 
Chen, R. et al. Lateral spacing in drip-irrigated wheat: the effects on soil moisture, yield, and water use efficiency. Field Crop Res. 179, 52–62 (2015).Article 

Google Scholar 
Shock, C. C., Feibert, E.B.G., & Saunders, L. D. Water management for drip-irrigated spring wheat. Annual Rep. Med. Chem.. 2007 (2005).Bhardwaj, A. K., Shainberg, I., Goldstein, D., Warrington, D. N. & Levy, G. J. Water retention and hydraulic conductivity of cross-linked polyacrylamides in sandy soils. Soil Sci. Soc. Am. J. 71, 406–412 (2007).ADS 
CAS 
Article 

Google Scholar 
Demitri, C., Scalera, F., Madaghiele, M., Sannino, A. & Maffezzoli, A. Potential of cellulose-based superabsorbent hydrogels as water reservoir in agriculture. Int. J. Polym. Sci. 2013, 1–6 (2013).Article 
CAS 

Google Scholar 
Islam, M. R. et al. Effectiveness of a water-saving super-absorbent polymer in soil water conservation for corn (Zea mays L.) based on eco- physiological parameters. J. Agric. Food Sci. 91, 1998–2005 (2011).CAS 
Article 

Google Scholar 
Nazarli, H., Zardashti, M. R., Darvishzadeh, R. & Najafi, S. The effect of water stress and polymer on water use efficiency, yield, and several morphological traits of sunflower under greenhouse condition. Notulae Scientia Biologicae. 2, 53–58 (2010).Article 

Google Scholar 
Huettermann, A., Orikiriza, L. J. & Agaba, H. Application of superabsorbent polymers for improving the ecological chemistry of degraded or polluted lands. Clean: Soil, Air, Water 37, 517–526 (2009).CAS 

Google Scholar 
Jain, N. K., Meena, H. N. & Bhaduri, D. Improvement in productivity, water use efficiency, and soil nutrient dynamics of summer peanut (Arachis hypogaea L) through use of polythene mulch, hydrogel, and nutrient management. Commun. Soil Sci. Plant Anal. 48, 549–564 (2017).CAS 
Article 

Google Scholar 
Shekari, F., Javanmard, A. & Abbasi, A. Effects of super absorbent polymer application on yield and yield components of rapeseed. Notulae Scientia Biologicae. 7, 361–366 (2015).Article 

Google Scholar 
Wang, L. et al. Drip irrigation mode and water-retaining agent on growth regulation and water-saving effect of small coffee. Chin. J. Drainag. Irrigat. Mech. Eng. 33, 796–801 (2015).
Google Scholar 
Liu, P. et al. Effects of soil treatments on soil moisture and soybean yield under the condition of underground drip irrigation. Water Saving Irrigat. 25–28 (2019).Li, R. et al. Effects of water-retaining agent on soil water, fertilizer and corn yield under drip irrigation. J. Drainag. Irrigat. Mech. Eng. 36, 1337–1344 (2018).
Google Scholar 
Ma, B. L., Biswas, D. K., Zhou, Q. P. & Ren, C. Z. Comparisons among cultivars of wheat, hulled and hulless oats: Effects of N fertilization on growth and yield. Can. J. Plant Sci. 92, 1213–1222 (2012).Article 

Google Scholar 
He, W. Effects of different irrigation methods on photosynthesis and soil biological characteristics of oat. Inner Mongolia: Hohhot, Inner Mongolia Agricultural University Master’s Thesis (2013).Wu, N. et al. Effects of water-retaining agent dosage on the yield and quality of naked oats under two irrigation methods. J. Crops 35, 1552–1557 (2009).CAS 

Google Scholar 
Gee, G.W., Bauder, J.W.,. Particle-size analysis. In: Klute, A. (Ed.), Methods of Soil Analysis, Part 1. Soil Science Society of America, South Segoe Road, Madison, WI 53711 USA. 383–409 (1986).Lu, R. Soil Agricultural Chemical Analysis Method (China Agricultural Science and Technology Press, 2000).
Google Scholar 
Wang, D. Water use efficiency and optimal supplemental irrigation in a high yield wheat field. Field Crop Res. 213, 213–220 (2017).Article 

Google Scholar 
Chen, Y. et al. Straw strips mulch on furrows improves water use efficiency and yield of potato in a rainfed semiarid area. Agric. Water Manag. 211, 142–151 (2019).Article 

Google Scholar 
Finn, D. et al. Effect of added nitrogen on plant litter decomposition depends on initial soil carbon and nitrogen stoichiometry. Soil Biol. Biochem. 91, 160–168 (2015).CAS 
Article 

Google Scholar 
Mo, F., Wang, J. Y., Xiong, Y. C., Nguluu, S. N. & Li, F. M. Ridge-furrow mulching system in semiarid Kenya: A promising solution to improve soil water availability and maize productivity. Eur. J. Agron. 80, 124–136 (2016).Article 

Google Scholar 
Luo, C. L. et al. Dual plastic film and straw mulching boosts wheat productivity and soil quality under the El Nino in semiarid Kenya. Sci. Total Environ. 738, 139808 (2020).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Bengough, A. G. Water dynamics of the root zone: Rhizosphere biophysics and its control on soil hydrology. Vadose Zone Journal. 11, 1–6 (2012).Article 

Google Scholar 
Zobel, R. W. Plant Roots: Rowth, Activity and Interaction with Soils. Crop Sci. 46, 2699 (2006).Article 

Google Scholar 
Scholl, P. et al. Root induced changes of effective 1D hydraulic properties in a soil column. Plant Soil 381, 193–213 (2014).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Williams, S. M. & Weil, R. R. Crop cover root channels may alleviate soil compaction effects on soybean crop. Soil Sci. Soc. Am. J. 68, 1403–1409 (2010).Article 

Google Scholar 
Farrell, C., Ang, X. Q. & Rayner, J. P. Water-retention additives increase plant available water in green roof substrates. Ecol. Eng. 52, 112–118 (2013).Article 

Google Scholar 
Agaba, H. et al. Effects of hydrogel amendment to different soils on plant available water and survival of trees under drought conditions. Clean: Soil, Air, Water 38, 328–335 (2010).CAS 

Google Scholar 
Wu, L., Liu, M. Z. & Liang, R. Preparation and properties of a double-coated slow release NPK compound fertilizer with superabsorbent and water-retention. Biores. Technol. 99, 547–554 (2008).CAS 
Article 

Google Scholar 
Afshar, R. K. et al. Interactive effect of deficit irrigation and soil organic amendments on seed yield and flavonolignan production of milk thistle (Silybum marianum L. Gaertn.). Ind. Crops Prod. 58, 166–172 (2014).CAS 
Article 

Google Scholar 
Wang, L. Effects of different sowing dates and fertilizer rates on the growth and yield of oats in Yinshan hilly area. Hohhot, Inner Mongolia Agricultural University Master’s Thesis (2020).Liu, Y. G. et al. Influence of planting density on the yield of naked oats and its constituent factors. J. Wheat Crops 28, 140–143 (2008).
Google Scholar 
Jia, Z. F. Effects of sowing rate and row spacing on grain quality of naked oat. Seed. 32, 67–69 (2013).
Google Scholar 
Lascano, R. J. & Van Bavel, C. H. M. Stimulation and measurement of evaporation from bare soil. Soil Sci. Soc. Am. J. 50, 1127–1132 (1986).ADS 
Article 

Google Scholar 
Lv, P. et al. Effects of descending distance under wide sowing conditions on wheat yield and dry matter accumulation and transport. J. Wheat Crops 40, 1–6 (2020).
Google Scholar 
Sun, H. Y. et al. Effects of different row spacing on evapotranspiration and yield of winter wheat in wheat fields. Chin. J. Agric. Eng. 1, 22–26 (2006).
Google Scholar 
Li, G. X. et al. Effects of sowing row spacing on yield and water use efficiency of dryland wheat in different years. Agric. Technol. Equipm. 1, 22–26 (2012).ADS 

Google Scholar 
Chen, S. Y. et al. Effects of planting row spacing on soil evaporation and water use in winter wheat fields. Chin. J. Ecol. Agric. 14, 86–89 (2006).
Google Scholar 
Yang, Y. H. et al. Effects of water-retaining agent on soil moisture and utilization of winter wheat at different growth stages. Chin. J. Agric. Eng. 26, 19–26 (2010).
Google Scholar 
Yang, Y. H. et al. Effects of different moisture conservation tillage measures on water consumption characteristics and annual water use of wheat and maize. North China Agric. J. 32, 103–110 (2017).
Google Scholar 
Du, S. N. et al. Effects of Water and PAM Application Modes on Soil Moisture and Maize Growth. Chin. J. Agric. Eng. 24, 30–35 (2008).
Google Scholar 
Tian, L. et al. Effects of combined application of water-retaining agent and microbial fertilizer on dry matter accumulation, distribution, transport and yield of dry oat. J. Ecol. 39, 2996–3003 (2020).
Google Scholar  More

Bowler, D. E. et al. Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes. People Nat. 2, 380–394 (2020).Article 

Google Scholar 
Persson, L. et al. Outside the safe operating space of the planetary boundary for novel entities. Environ. Sci. Technol. https://doi.org/10.1021/acs.est.1c04158 (2022).Article 
PubMed 
PubMed Central 

Google Scholar 
United Nations Environment Programme (UNEP). 2019. Global Mercury Assessment 2018. UN Environment Programme, Chemicals and Health Branch Geneva, Switzerland. https://www.unep.org/resources/publication/global-mercury-assessment-2018Rimmer, C. C., Miller, E. K., McFarland, K. P., Taylor, R. J. & Faccio, S. D. Mercury bioaccumulation and trophic transfer in the terrestrial food web of a montane forest. Ecotoxicology 19, 697–709 (2010).CAS 
PubMed 
Article 

Google Scholar 
Cristol, D. A. et al. The movement of aquatic mercury through terrestrial food webs. Science 320, 335 (2008).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Evers, D. The effects of methylmercury on wildlife: A comprehensive review and approach for interpretation. Encycl. Anthropocene 5, 181–194 (2018).Article 

Google Scholar 
Whitney, M. C. & Cristol, D. A. Impacts of sublethal mercury exposure on birds: a detailed review. Rev. Environ. Contam. Toxicol. 244, 113–163 (2017).
Google Scholar 
Seewagen, C. L. Threats of environmental mercury to birds: Knowledge gaps and priorities for future research. Bird Conserv. Int. 20, 112–123 (2010).Article 

Google Scholar 
Seewagen, C. L. The threat of global mercury pollution to bird migration: Potential mechanisms and current evidence. Ecotoxicology 29, 1254–1267 (2020).CAS 
PubMed 
Article 

Google Scholar 
Ma, Y., Branfireun, B. A., Hobson, K. A. & Guglielmo, C. G. Evidence of negative seasonal carry-over effects of breeding ground mercury exposure on survival of migratory songbirds. J. Avian Biol. 49, jav-01656 (2018).Article 

Google Scholar 
Newton, I. Can conditions experienced during migration limit the population levels of birds?. J. Ornithol. 147, 146–166 (2006).Article 

Google Scholar 
Klaassen, M., Hoye, B. J., Nolet, B. A. & Buttemer, W. A. Ecophysiology of avian migration in the face of current global hazards. Philos. Trans. R. Soc. B 367, 1719–1732 (2020).Article 

Google Scholar 
Zurell, D., Graham, C. H., Gallien, L., Thuiller, W. & Zimmermann, N. E. Long-distance migratory birds threatened by multiple independent risks from global change. Nat. Clim. Chang. 8, 992–996 (2018).ADS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Seewagen, C. L., Ma, Y., Morbey, Y. E. & Guglielmo, C. G. Stopover departure behavior and flight orientation of spring-migrant Yellow-rumped Warblers (Setophaga coronata) experimentally exposed to methylmercury. J. Ornithol. 160, 617–624 (2019).Article 

Google Scholar 
Seewagen, C. L. Blood mercury levels and the stopover refueling performance of a long-distance migratory songbird. Can. J. Zool. 91, 41–45 (2013).CAS 
Article 

Google Scholar 
Adams, E. M., Williams, K. A., Olsen, B. J. & Evers, D. C. Mercury exposure in migrating songbirds: Correlations with physical condition. Ecotoxicology 29, 1240–1253 (2020).CAS 
PubMed 
Article 

Google Scholar 
Ma, Y., Perez, C. R., Branfireun, B. A. & Guglielmo, C. G. Dietary exposure to methylmercury affects flight endurance in a migratory songbird. Environ. Pollut. 234, 894–901 (2018).CAS 
PubMed 
Article 

Google Scholar 
Gerson, A. R., Cristol, D. A. & Seewagen, C. L. Environmentally relevant methylmercury exposure reduces the metabolic scope of a model songbird. Environ. Pollut. 246, 790–796 (2019).CAS 
PubMed 
Article 

Google Scholar 
Jenni, L. & Jenni-Eiermann, S. Fuel supply and metabolic constraints in migrating birds. J. Avian Biol. 29, 521–552 (1998).Article 

Google Scholar 
McWilliams, S. R., Guglielmo, C., Pierce, B. & Klaassen, M. Flying, fasting, and feeding in birds during migration: A nutritional and physiological ecology perspective. J. Avian Biol. 35, 377–393 (2004).Article 

Google Scholar 
Guglielmo, C. G. Move that fatty acid: Fuel selection and transport in migratory birds and bats. Integr. Comp. Biol. 50, 336–345 (2010).PubMed 
Article 

Google Scholar 
Guglielmo, C. G. Obese super athletes: Fat-fueled migration in birds and bats. J. Exp. Biol. 221(Suppl_1), 165753 (2018).Article 

Google Scholar 
Kawakami, T. et al. Differential effects of cobalt and mercury on lipid metabolism in the white adipose tissue of high-fat diet-induced obesity mice. Toxicol. Appl. Pharmacol. 258, 32–42 (2012).CAS 
PubMed 
Article 

Google Scholar 
Yadetie, F. et al. Global transcriptome analysis of Atlantic cod (Gadus morhua) liver after in vivo methylmercury exposure suggests effects on energy metabolism pathways. Aquat. Toxicol. 126, 314–325 (2013).CAS 
PubMed 
Article 

Google Scholar 
Park, K. & Seo, E. Association between toenail mercury and metabolic syndrome is modified by selenium. Nutrients 8, 424 (2016).PubMed Central 
Article 
CAS 

Google Scholar 
Caito, S. W., Newell-Caito, J., Martell, M., Crawford, N. & Aschner, M. Methylmercury induces metabolic alterations in Caenorhabditis elegans: Role for C/EBP transcription factor. Toxicol. Sci. 174, 112–123 (2020).CAS 
PubMed 
Article 

Google Scholar 
Edmonds, S. T., O’Driscoll, N. J., Hillier, N. K., Atwood, J. L. & Evers, D. C. Factors regulating the bioavailability of methylmercury to breeding rusty blackbirds in northeastern wetlands. Environ. Pollut. 171, 148–154 (2012).CAS 
PubMed 
Article 

Google Scholar 
Rowse, L. M., Rodewald, A. D., Mažeika, S. & Sullivan, P. Pathways and consequences of contaminant flux to Acadian flycatchers (Empidonax virescens) in urbanizing landscapes of Ohio, USA. Sci. Total Environ. 485, 461–467 (2014).ADS 
PubMed 
Article 
CAS 

Google Scholar 
Marsh, R. L. Catabolic enzyme activities in relation to premigratory fattening and muscle hypertrophy in the gray catbird (Dumetella carolinensis). J. Comp. Physiol. 141, 417–423 (1981).CAS 
Article 

Google Scholar 
Guglielmo, C. G., Haunerland, N. H., Hochachka, P. W. & Williams, T. D. Seasonal dynamics of flight muscle fatty acid binding protein and catabolic enzymes in a migratory shorebird. Am. J. Physiol.-Regul. Integr. Comp. Physiol. 282(5), R1405–R1413 (2002).CAS 
PubMed 
Article 

Google Scholar 
Maillet, D. & Weber, J. M. Relationship between n-3 PUFA content and energy metabolism in the flight muscles of a migrating shorebird: Evidence for natural doping. J. Exp. Biol. 210, 413–420 (2007).CAS 
PubMed 
Article 

Google Scholar 
Weber, J. M. Metabolic fuels: Regulating fluxes to select mix. J. Exp. Biol. 214, 286–294 (2011).CAS 
PubMed 
Article 

Google Scholar 
Feige, J. N., Gelman, L., Michalik, L., Desvergne, B. & Wahli, W. From molecular action to physiological outputs: Peroxisome proliferator-activated receptors are nuclear receptors at the crossroads of key cellular functions. Prog. Lipid. Res. 45, 120–159 (2006).CAS 
PubMed 
Article 

Google Scholar 
Bensinger, S. J. & Tontonoz, P. Integration of metabolism and inflammation by lipid-activated nuclear receptors. Nature 454, 470–477. https://doi.org/10.1038/nature07202 (2008).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Ynalvez, R., Gutierrez, J. & Gonzalez-Cantu, H. Mini-review: Toxicity of mercury as a consequence of enzyme alteration. Biometals 29, 781–788 (2016).CAS 
PubMed 
Article 

Google Scholar 
Gerson, A. R. & Guglielmo, C. G. Energetics and metabolite profiles during early flight in American robins (Turdus Migratorius). J. Comp. Physiol. B. 183, 983–991 (2013).CAS 
PubMed 
Article 

Google Scholar 
Price, E. R., McFarlan, J. T. & Guglielmo, C. G. Preparing for migration? The effects of photoperiod and exercise on muscle oxidative enzymes, lipid transporters, and phospholipids in white-crowned sparrows. Physiol. Biochem. Zool. 83, 252–262 (2010).CAS 
PubMed 
Article 

Google Scholar 
Bradley, S. S., Dick, M. F., Guglielmo, C. G. & Timoshenko, A. V. Seasonal and flight-related variation of galectin expression in heart, liver and flight muscles of yellow-rumped warblers (Setophaga coronata). Glycoconj. J. 34, 603–611 (2017).CAS 
PubMed 
Article 

Google Scholar 
McFarlan, J. T., Bonen, A. & Guglielmo, C. G. Seasonal upregulation of fatty acid transporters in flight muscles of migratory white-throated sparrows (Zonotrichia albicollis). J. Exp. Biol. 212, 2934–2940 (2009).CAS 
PubMed 
Article 

Google Scholar 
Zhang, Y., King, M. O., Harmon, E., Eyster, K. & Swanson, D. L. Migration-induced variation of fatty acid transporters and cellular metabolic intensity in passerine birds. J. Comp. Physiol. B. 185, 797–810 (2015).CAS 
PubMed 
Article 

Google Scholar 
Dick, M. F. & Guglielmo, C. G. Dietary polyunsaturated fatty acids influence flight muscle oxidative capacity but not endurance flight performance in a migratory songbird. Am. J. Physiol.-Regul. Integr. Compar. Physiol. 316(4), R362–R375 (2019).CAS 
Article 

Google Scholar 
Schmittgen, T. D. & Livak, K. J. Analyzing real-time PCR data by the comparative CT method. Nat. Protoc. 3, 1101–1108 (2008).CAS 
PubMed 
Article 

Google Scholar 
Bittencourt, L. O. et al. Oxidative biochemistry disbalance and changes on proteomic profile in salivary glands of rats induced by chronic exposure to methylmercury. Oxid. Med. Cell. Longev. https://doi.org/10.1155/2017/5653291 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Shi, Q., Sun, N., Kou, H., Wang, H. & Zhao, H. Chronic effects of mercury on Bufo gargarizans larvae: Thyroid disruption, liver damage, oxidative stress and lipid metabolism disorder. Ecotoxicol. Environ. Saf. 164, 500–509 (2018).CAS 
PubMed 
Article 

Google Scholar 
Nøstbakken, O. J. et al. Dietary methylmercury alters the proteome in Atlantic salmon (Salmo salar) kidney. Aquat. Toxicol. 108, 70–77 (2012).PubMed 
Article 
CAS 

Google Scholar 
Zink, E. M. Comparison of the mercury induced proteomes of Escherichia coli MG1655 with and without the NR1 plasmid. MSc thesis, Washington State University, Pullman, WA (2009).Lundgren, B. O. & Kiessling, K. H. Seasonal variation in catabolic enzyme activities in breast muscle of some migratory birds. Oecologia 66, 468–471 (1985).ADS 
PubMed 
Article 

Google Scholar 
Banerjee, S. & Chaturvedi, C. M. Migratory preparation associated alterations in pectoralis muscle biochemistry and proteome in Palearctic-Indian emberizid migratory finch, red-headed bunting, Emberiza bruniceps. Comp. Biochem. Physiol. D Genom. Proteom. 17, 9–25 (2016).CAS 

Google Scholar 
Dick, M. F. The long haul: migratory flight preparation and performance in songbirds. Ph.D. dissertation, University of Western Ontario, London, Canada (2017).Driedzic, W. R., Crowe, H. L., Hicklin, P. W. & Sephton, D. H. Adaptations in pectoralis muscle, heart mass, and energy metabolism during premigratory fattening in semipalmated sandpipers (Calidris pusilla). Can. J. Zool. 71, 1602–1608 (1993).Article 

Google Scholar 
De Moranville, K. J. et al. PPAR expression, muscle size and metabolic rates across the gray catbird’s annual cycle are greatest in preparation for fall migration. J. Exper. Biol. 222, 198028 (2019).Article 

Google Scholar 
Zajac, D. M., Cerasale, D. J., Landman, S. & Guglielmo, C. G. Behavioral and physiological effects of photoperiod-induced migratory state and leptin on Zonotrichia albicollis: II. Effects on fatty acid metabolism. Gen. Comp. Endocrinol. 174, 269–275 (2011).CAS 
PubMed 
Article 

Google Scholar 
Tinant, G. et al. Methylmercury displays pro-adipogenic properties in rainbow trout preadipocytes. Chemosphere 263, 127917 (2021).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Cambier, S. et al. At environmental doses, dietary methylmercury inhibits mitochondrial energy metabolism in skeletal muscles of the zebra fish (Danio rerio). Int. J. Biochem. Cell Biol. 41, 791–799 (2009).CAS 
PubMed 
Article 

Google Scholar 
Ferain, A. et al. Transcriptional effects of phospholipid fatty acid profile on rainbow trout liver cells exposed to methylmercury. Aquat. Toxicol. 199, 174–187 (2018).CAS 
PubMed 
Article 

Google Scholar 
Börchers, T., Højrup, P., Nielsen, S. U., Roepstorff, P., Spener, F., Knudsen, J. Revision of the amino acid sequence of human heart fatty acid-binding protein. In Cellular Fatty Acid-binding Proteins 127–133 (Springer, Boston, 1990).Dörmann, P. et al. Amino acid exchange and covalent modification by cysteine and glutathione explain isoforms of fatty acid-binding protein occurring in bovine liver. J. Biol. Chem. 268, 16286–16292 (1993).PubMed 
Article 

Google Scholar 
Su, X. & Abumrad, N. A. Cellular fatty acid uptake: A pathway under construction. Trends Endocrinol. Metab. 20(2), 72–77 (2009).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
van Oort, M. M. et al. Each of the four intracellular cysteines of CD36 is essential for insulin-or AMP-activated protein kinase-induced CD36 translocation. Arch. Physiol. Biochem. 120, 40–49 (2014).PubMed 
Article 
CAS 

Google Scholar 
Wang, G., Bonkovsky, H. L., de Lemos, A. & Burczynski, F. J. Recent insights into the biological functions of liver fatty acid binding protein 1. J. Lipid Res. 56, 2238–2247 (2015).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Vallee, B. L. & Ulmer, D. D. Biochemical effects of mercury, cadmium, and lead. Annu. Rev. Biochem. 41, 91–128 (1972).CAS 
PubMed 
Article 

Google Scholar 
Aschner, M. & Syversen, T. Methylmercury: Recent advances in the understanding of its neurotoxicity. Ther. Drug Monit. 27, 278–283 (2005).PubMed 
PubMed Central 
Article 

Google Scholar 
Kenow, K. P., Meyer, M. W., Hines, R. K. & Karasov, W. H. Distribution and accumulation of mercury in tissues of captive-reared common loon (Gavia immer) chicks. Environ. Toxicol. Chem. 26, 1047–1055 (2007).CAS 
PubMed 
Article 

Google Scholar 
Varian-Ramos, C. W., Whitney, M., Rice, G. W. & Cristol, D. A. Form of dietary methylmercury does not affect total mercury accumulation in the tissues of zebra finch. Bull. Environ. Contam. Toxicol. 99, 1–8 (2017).CAS 
PubMed 
Article 

Google Scholar 
Rizzetti, D. A. et al. Chronic mercury at low doses impairs white adipose tissue plasticity. Toxicology 418, 41–50 (2019).CAS 
PubMed 
Article 

Google Scholar 
Richter, C. A. et al. Methylmercury-induced changes in gene transcription associated with neuroendocrine disruption in largemouth bass (Micropterus salmoides). Gen. Comp. Endocrinol. 203, 215–224 (2014).CAS 
PubMed 
Article 

Google Scholar 
Barnes, D. M., Hanlon, P. R. & Kircher, E. A. Effects of inorganic HgCl2 on adipogenesis. Toxicol. Sci. 75(2), 368–377 (2003).CAS 
PubMed 
Article 

Google Scholar 
Corder, K. R., DeMoranville, K. J., Russell, D. E., Huss, J. M. & Schaeffer, P. J. Annual life-stage regulation of lipid metabolism and storage and association with PPARs in a migrant species: the gray catbird (Dumetella carolinensis). J. Exp. Biol. 219, 3391–3398 (2016).PubMed 

Google Scholar 
DeMoranville, K. J., Carter, W. A., Pierce, B. J. & McWilliams, S. R. Flight training in a migratory bird drives metabolic gene expression in the flight muscle but not liver, and dietary fat quality influences select genes. Am. J. Physiol.-Regul. Integr. Compar. Physiol. 319(6), R637–R652 (2020).CAS 
Article 

Google Scholar 
Gavrilova, O. et al. Liver peroxisome proliferator-activated receptor γ contributes to hepatic steatosis, triglyceride clearance, and regulation of body fat mass. J. Biol. Chem. 278(36), 34268–34276 (2003).CAS 
PubMed 
Article 

Google Scholar 
Bedoucha, M., Atzpodien, E. & Boelsterli, U. A. Diabetic KKAy mice exhibit increased hepatic PPARγ1 gene expression and develop hepatic steatosis upon chronic treatment with antidiabetic thiazolidinediones. J. Hepatol. 35, 17–23 (2001).CAS 
PubMed 
Article 

Google Scholar 
Egeler, O., Williams, T. D. & Guglielmo, C. G. Modulation of lipogenic enzymes, fatty acid synthase and Δ 9-desaturase, in relation to migration in the western sandpiper (Calidris mauri). J. Comp. Physiol. B 170, 169–174 (2000).CAS 
PubMed 
Article 

Google Scholar 
Klaper, R. et al. Use of a 15k gene microarray to determine gene expression changes in response to acute and chronic methylmercury exposure in the fathead minnow (Pimephales promelas). J. Fish Biol. 72, 2207–2280 (2008).CAS 
Article 

Google Scholar 
Calow, P. Physiological costs of combating chemical toxicants: Ecological implications. Comp. Biochem. Physiol. C 100, 3–6 (1991).CAS 
PubMed 
Article 

Google Scholar 
Spalding, M. G. et al. Histologic, neurologic, and immunologic effects of methylmercury in captive great egrets. J. Wildl. Dis. 36, 423–435 (2000).CAS 
PubMed 
Article 

Google Scholar 
Carlson, J. R., Cristol, D. & Swaddle, J. P. Dietary mercury exposure causes decreased escape takeoff flight performance and increased molt rate in European starlings (Sturnus vulgaris). Ecotoxicology 23, 1464–1473 (2014).CAS 
PubMed 
Article 

Google Scholar 
Faaborg, J. et al. Conserving migratory land birds in the New World: Do we know enough?. Ecol. Appl. 20, 398–418 (2010).PubMed 
Article 

Google Scholar 
Duijns, S. et al. Body condition explains migratory performance of a long-distance migrant. Proc. R. Soc. B https://doi.org/10.1098/rspb.2017.1374 (2017).Article 
PubMed 
PubMed Central 

Google Scholar  More

Neufeld JD, Wagner M, Murrell JC. Who eats what, where and when? Isotope-labelling experiments are coming of age. ISME J. 2007;1:103–10.CAS 
PubMed 
Article 

Google Scholar 
Boschker HTS, Nold SC, Wellsbury P, Bos D, de Graaf W, Pel R, et al. Direct linking of microbial populations to specific biogeochemical processes by 13C-labelling of biomarkers. Nature. 1998;392:801–5Jehmlich N, Schmidt F, von Bergen M, Richnow H-H, Vogt C. Protein-based stable isotope probing (Protein-SIP) reveals active species within anoxic mixed cultures. ISME J. 2008;2:1122–33.CAS 
PubMed 
Article 

Google Scholar 
Radajewski S, Ineson P, Parekh NR, Colin Murrell J. Stable-isotope probing as a tool in microbial ecology. Nature. 2000;403:646–9.CAS 
PubMed 
Article 

Google Scholar 
Manefield M, Whiteley AS, Griffiths RI, Bailey MJ. RNA stable isotope probing, a novel means of linking microbial community function to phylogeny. Appl Environ Microbiol. 2002;68:5367–73.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Berry D, Mader E, Lee TK, Woebken D, Wang Y, Zhu D, et al. Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells. Proc Natl Acad Sci USA. 2015;112:E194–203.CAS 
PubMed 

Google Scholar 
Jehmlich N, Vogt C, Lünsmann V, Richnow HH, von Bergen M. Protein-SIP in environmental studies. Curr Opin Biotechnol. 2016;41:26–33.CAS 
PubMed 
Article 

Google Scholar 
Haichar, FEZ, Achouak W, Christen R, Heulin T, et al. Identification of cellulolytic bacteria in soil by stable isotope probing. Environ Microbiol. 2007;9:625–34Rangel-Castro JI, Ignacio Rangel-Castro J, Killham K, Ostle N, Nicol GW, Anderson IC, et al. Stable isotope probing analysis of the influence of liming on root exudate utilization by soil microorganisms. Environ Microbiol. 2005;7:828–38.CAS 
PubMed 
Article 

Google Scholar 
Wang Y, Song Y, Tao Y, Muhamadali H, Goodacre R, Zhou N-Y, et al. Reverse and multiple stable isotope probing to study bacterial metabolism and interactions at the single cell level. Anal Chem. 2016;88:9443–50.CAS 
PubMed 
Article 

Google Scholar 
Sharma K, Palatinszky M, Nikolov G, Berry D, Shank EA. Transparent soil microcosms for live-cell imaging and non-destructive stable isotope probing of soil microorganisms. Elife. 2020;9:e56275.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Lee KS, Landry Z, Pereira FC, Wagner M, Berry D, Huang WE, et al. Raman microspectroscopy for microbiology. Nat. Rev. Methods Primers. 2021;1:80.CAS 
Article 

Google Scholar 
Hatzenpichler R, Krukenberg V, Spietz RL, Jay ZJ. Next-generation physiology approaches to study microbiome function at single cell level. Nat Rev Microbiol. 2020;18:241–56.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Wagner M. Single-cell ecophysiology of microbes as revealed by raman microspectroscopy or secondary ion mass spectrometry imaging. Ann Rev Microbiol. 2009;63:411–29Lennon JT, Jones SE. Microbial seed banks: the ecological and evolutionary implications of dormancy. Nat Rev Microbiol. 2011;9:119–30.CAS 
PubMed 
Article 

Google Scholar 
Lewis K. Persister cells, dormancy and infectious disease. Nat Rev Microbiol. 2006;5:48–56.PubMed 
Article 
CAS 

Google Scholar 
Nielsen KM, Johnsen PJ, Bensasson D, Daffonchio D. Release and persistence of extracellular DNA in the environment. Environ Biosafety Res. 2007;6:37–53.CAS 
PubMed 
Article 

Google Scholar 
Blazewicz SJ, Barnard RL, Daly RA, Firestone MK. Evaluating rRNA as an indicator of microbial activity in environmental communities: limitations and uses. ISME J. 2013;7:2061–8.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Nocker A, Sossa-Fernandez P, Burr MD, Camper AK. Use of propidium monoazide for live/dead distinction in microbial ecology. Appl Environ Microbiol. 2007;73:5111–7.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Tawakoli PN, Al-Ahmad A, Hoth-Hannig W, Hannig M, Hannig C. Comparison of different live/dead stainings for detection and quantification of adherent microorganisms in the initial oral biofilm. Clin Oral Investig. 2013;17:841–50.CAS 
PubMed 
Article 

Google Scholar 
Netuschil L, Auschill TM, Sculean A, Arweiler NB. Confusion over live/dead stainings for the detection of vital microorganisms in oral biofilms-which stain is suitable? BMC Oral Health. 2014;14:2.PubMed 
PubMed Central 
Article 

Google Scholar 
Hatzenpichler R, Connon SA, Goudeau D, Malmstrom RR, Woyke T, Orphan VJ. Visualizing in situ translational activity for identifying and sorting slow-growing archaeal−bacterial consortia. Proc Natl Acad Sci USA. 2016;113:E4069–78.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kuru E, Hughes HV, Brown PJ, Hall E, Tekkam S, Cava F, et al. In Situ probing of newly synthesized peptidoglycan in live bacteria with fluorescent D-amino acids. Angew Chem Int Ed Engl. 2012;51:12519–23.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kopf SH, McGlynn SE, Green-Saxena A, Guan Y, Newman DK, Orphan VJ. Heavy water and15N labelling with NanoSIMS analysis reveals growth rate-dependent metabolic heterogeneity in chemostats. Environ Microbiol. 2015;17:2542–56Kopf SH, Sessions AL, Cowley ES, Reyes C, Van Sambeek L, Hu Y, et al. Trace incorporation of heavy water reveals slow and heterogeneous pathogen growth rates in cystic fibrosis sputum. Proc Natl Acad Sci USA. 2016;113:E110–6.CAS 
PubMed 
Article 

Google Scholar 
Neubauer C, Kasi AS, Grahl N, Sessions AL, Kopf SH, Kato R, et al. Refining the Application of Microbial Lipids as Tracers of Staphylococcus aureus Growth Rates in Cystic Fibrosis Sputum. J Bacteriol. 2018;200:e00365–18.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Haider S, Wagner M, Schmid MC, Sixt BS, Christian JG, Häcker G, et al. Raman microspectroscopy reveals long-term extracellular activity of Chlamydiae. Mol Microbiol. 2010;77:687–700.CAS 
PubMed 
Article 

Google Scholar 
Kloehn J, Boughton BA, Saunders EC, O’Callaghan S, Binger KJ, McConville MJ. Identification of Metabolically Quiescent Leishmania mexicana Parasites in Peripheral and Cured Dermal Granulomas Using Stable Isotope Tracing Imaging Mass Spectrometry. mBio. 2021;12:e00129–21.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kong L, Setlow P, Li Y-Q. Direct analysis of water content and movement in single dormant bacterial spores using confocal Raman microspectroscopy and Raman imaging. Anal Chem. 2013;85:7094–101.CAS 
PubMed 
Article 

Google Scholar 
Knudsen SM, Cermak N, Delgado FF, Setlow B, Setlow P, Manalis SR. Water and small-molecule permeation of dormant Bacillus subtilis spores. J Bacteriol. 2016;198:168–77.CAS 
PubMed 
Article 

Google Scholar 
Chen D, Huang S-S, Li Y-Q. Real-time detection of kinetic germination and heterogeneity of single Bacillus spores by laser tweezers Raman spectroscopy. Anal Chem. 2006;78:6936–41.CAS 
PubMed 
Article 

Google Scholar 
Devictor V, Clavel J, Julliard R, Lavergne S, Mouillot D, Thuiller W, et al. Defining and measuring ecological specialization. J Appl Ecol. 2010;47:15–25.Article 

Google Scholar 
Pereira FC, Berry D. Microbial nutrient niches in the gut. Environ Microbiol. 2017;19:1366–78.PubMed 
PubMed Central 
Article 

Google Scholar 
Shakya M, Lo C-C, Chain PSG. Advances and challenges in metatranscriptomic analysis. Front Genet. 2019;10:904.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Berry D, Loy A. Stable-Isotope probing of human and animal microbiome function. Trends Microbiol. 2018;26:999–1007.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Terrado R, Pasulka AL, Lie AA-Y, Orphan VJ, Heidelberg KB, Caron DA. Autotrophic and heterotrophic acquisition of carbon and nitrogen by a mixotrophic chrysophyte established through stable isotope analysis. ISME J. 2017;11:2022–34.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Dekas AE, Parada AE, Mayali X, Fuhrman JA, Wollard J, Weber PK, et al. Characterizing Chemoautotrophy and Heterotrophy in Marine Archaea and Bacteria With Single-Cell Multi-isotope NanoSIP. Front Microbiol. 2019;10:2682.PubMed 
PubMed Central 
Article 

Google Scholar 
Wegener G, Bausch M, Holler T, Thang NM, Mollar XP, Kellermann MY, et al. Assessing sub-seafloor microbial activity by combined stable isotope probing with deuterated water and 13C-bicarbonate. Environ Microbiol. 2019;14:1517–27Jing X, Gou H, Gong Y, Su X, Xu L, Ji Y, et al. Raman-activated cell sorting and metagenomic sequencing revealing carbon-fixing bacteria in the ocean. Environ Microbiol. 2018;20:2241–55.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Xu J, Zhu D, Ibrahim AD, Allen CCR, Gibson CM, Fowler PW, et al. Raman deuterium isotope probing reveals microbial metabolism at the single-cell level. Anal Chem. 2017;89:13305–12.CAS 
PubMed 
Article 

Google Scholar 
Zhang M, Hong W, Abutaleb NS, Li J, Dong P-T, Zong C, et al. Rapid determination of antimicrobial susceptibility by stimulated Raman scattering imaging of D2O metabolic incorporation in a single bacterium. Adv Chem Microsc Life Sci Transl Med. 2021.Lima C, Muhamadali H, Xu Y, Kansiz M, Goodacre R. Imaging Isotopically Labeled Bacteria at the Single-Cell Level Using High-Resolution Optical Infrared Photothermal Spectroscopy. Anal Chem. 2021;93:3082–8.CAS 
PubMed 
Article 

Google Scholar 
Ackermann M. A functional perspective on phenotypic heterogeneity in microorganisms. Nat Rev Microbiol. 2015;13:497–508.CAS 
PubMed 
Article 

Google Scholar 
Balaban NQ, Merrin J, Chait R, Kowalik L, Leibler S. Bacterial persistence as a phenotypic switch. Science. 2004;305:1622–5.CAS 
PubMed 
Article 

Google Scholar 
Maamar H, Raj A, Dubnau D. Noise in gene expression determines cell fate in Bacillus subtilis. Science. 2007;317:526–9.CAS 
PubMed 
Article 

Google Scholar 
Emonet T, Cluzel P. Relationship between cellular response and behavioral variability in bacterial chemotaxis. Proc Natl Acad Sci USA. 2008;105:3304–9.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Ozbudak EM, Thattai M, Lim HN, Shraiman BI, Van Oudenaarden A. Multistability in the lactose utilization network of Escherichia coli. Nature. 2004;427:737–40.CAS 
PubMed 
Article 

Google Scholar 
Kiviet DJ, Nghe P, Walker N, Boulineau S, Sunderlikova V, Tans SJ. Stochasticity of metabolism and growth at the single-cell level. Nature. 2014;514:376–9.CAS 
PubMed 
Article 

Google Scholar 
Kotte O, Volkmer B, Radzikowski JL, Heinemann M. Phenotypic bistability in Escherichia coli’s central carbon metabolism. Mol Syst Biol. 2014;10:736.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
New AM, Cerulus B, Govers SK, Perez-Samper G, Zhu B, Boogmans S, et al. Different levels of catabolite repression optimize growth in stable and variable environments. PLoS Biol. 2014;12:e1001764.PubMed 
PubMed Central 
Article 

Google Scholar 
Solopova A, van Gestel J, Weissing FJ, Bachmann H, Teusink B, Kok J, et al. Bet-hedging during bacterial diauxic shift. Proc Natl Acad Sci USA. 2014;111:7427–32.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Schreiber F, Littmann S, Lavik G, Escrig S, Meibom A, Kuypers MMM, et al. Phenotypic heterogeneity driven by nutrient limitation promotes growth in fluctuating environments. Nat Microbiol. 2016;1:16055.CAS 
PubMed 
Article 

Google Scholar 
Nikolic N, Schreiber F, Dal Co A, Kiviet DJ, Bergmiller T, Littmann S, et al. Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations. PLoS Genet. 2017;13:e1007122.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Takhaveev V, Heinemann M. Metabolic heterogeneity in clonal microbial populations. Curr Opin Microbiol. 2018;45:30–8.CAS 
PubMed 
Article 

Google Scholar 
Altschuler SJ, Wu LF. Cellular heterogeneity: do differences make a difference? Cell. 2010;141:559–63.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Beaumont HJE, Gallie J, Kost C, Ferguson GC, Rainey PB. Experimental evolution of bet hedging. Nature. 2009;462:90–3.CAS 
PubMed 
Article 

Google Scholar 
Calabrese F, Voloshynovska I, Musat F, Thullner M, Schlömann M, Richnow HH, et al. Quantitation and comparison of phenotypic heterogeneity among single cells of monoclonal microbial populations. Front Microbiol. 2019;10:2814.PubMed 
PubMed Central 
Article 

Google Scholar 
Zimmermann M, Escrig S, Hübschmann T, Kirf MK, Brand A, Inglis RF, et al. Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS. Front Microbiol. 2015;6:243.PubMed 
PubMed Central 
Article 

Google Scholar 
Zimmermann M, Escrig S, Lavik G, Kuypers MMM, Meibom A, Ackermann M, et al. Substrate and electron donor limitation induce phenotypic heterogeneity in different metabolic activities in a green sulphur bacterium. Environ Microbiol Rep. 2018;10:179–83.CAS 
PubMed 
Article 

Google Scholar 
Sheik AR, Muller EE, Audinot J-N, Lebrun LA, Grysan P, Guignard C, et al. In situ phenotypic heterogeneity among single cells of the filamentous bacterium Candidatus Microthrix parvicella. ISME J. 2016;10:1274–9.CAS 
PubMed 
Article 

Google Scholar 
Seyedsayamdost MR, Case RJ, Kolter R, Clardy J. The Jekyll-and-Hyde chemistry of Phaeobacter gallaeciensis. Nat Chem. 2011;3:331–5.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Ferrier-Pagès C, Leal MC. Stable isotopes as tracers of trophic interactions in marine mutualistic symbioses. Ecol Evol. 2019;9:723–40.PubMed 
Article 

Google Scholar 
Pasulka AL, Thamatrakoln K, Kopf SH, Guan Y, Poulos B, Moradian A, et al. Interrogating marine virus-host interactions and elemental transfer with BONCAT and nanoSIMS-based methods. Environ Microbiol. 2018;20:671–92.CAS 
PubMed 
Article 

Google Scholar 
Kopp C, Domart-Coulon I, Escrig S, Humbel BM, Hignette M, Meibom A. Subcellular investigation of photosynthesis-driven carbon assimilation in the symbiotic reef coral Pocillopora damicornis. mBio. 2015;6:e02299–14.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Rädecker N, Pogoreutz C, Gegner HM, Cárdenas A, Roth F, Bougoure J, et al. Heat stress destabilizes symbiotic nutrient cycling in corals. Proc Natl Acad Sci U S A. 2021;118:e2022653118.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Krueger T, Bodin J, Horwitz N, Loussert-Fonta C, Sakr A, Escrig S, et al. Temperature and feeding induce tissue level changes in autotrophic and heterotrophic nutrient allocation in the coral symbiosis – a NanoSIMS study. Sci Rep. 2018;8:12710.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Gibbin E, Gavish A, Krueger T, Kramarsky-Winter E, Shapiro O, Guiet R, et al. Vibrio coralliilyticus infection triggers a behavioural response and perturbs nutritional exchange and tissue integrity in a symbiotic coral. ISME J. 2019;13:989–1003.CAS 
PubMed 
Article 

Google Scholar 
Rix L, Ribes M, Coma R, Jahn MT, de Goeij JM, van Oevelen D, et al. Heterotrophy in the earliest gut: a single-cell view of heterotrophic carbon and nitrogen assimilation in sponge-microbe symbioses. ISME J. 2020;14:2554–67.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Thomas T, Moitinho-Silva L, Lurgi M, Björk JR, Easson C, Astudillo-García C, et al. Diversity, structure and convergent evolution of the global sponge microbiome. Nat Commun. 2016;7:11870.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Mills MM, Turk-Kubo KA, van Dijken GL, Henke BA, Harding K, Wilson ST, et al. Unusual marine cyanobacteria/haptophyte symbiosis relies on N2 fixation even in N-rich environments. ISME J. 2020;14:2395–406.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Turk-Kubo KA, Mills MM, Arrigo KR, van Dijken G, Henke BA, Stewart B, et al. UCYN-A/haptophyte symbioses dominate N2 fixation in the Southern California Current System. ISME Commun. 2021;1:1–13.Article 

Google Scholar 
Moore CM, Mills MM, Arrigo KR, Berman-Frank I, Bopp L, Boyd PW, et al. Processes and patterns of oceanic nutrient limitation. Nat Geosci. 2013;6:701–10.CAS 
Article 

Google Scholar 
Scheller S, Yu H, Chadwick GL, McGlynn SE, Orphan VJ. Artificial electron acceptors decouple archaeal methane oxidation from sulfate reduction. Science. 2016;351:703–7.CAS 
PubMed 
Article 

Google Scholar 
Pereira FC, Wasmund K, Cobankovic I, Jehmlich N, Herbold CW, Lee KS, et al. Rational design of a microbial consortium of mucosal sugar utilizers reduces Clostridiodes difficile colonization. Nat Commun. 2020;11:5104.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Mooshammer M, Kitzinger K, Schintlmeister A, Ahmerkamp S, Nielsen JL, Nielsen PH, et al. Flow-through stable isotope probing (Flow-SIP) minimizes cross-feeding in complex microbial communities. ISME J. 2021;15:348–53.CAS 
PubMed 
Article 

Google Scholar 
Drescher K, Nadell CD, Stone HA, Wingreen NS, Bassler BL. Solutions to the public goods dilemma in bacterial biofilms. Curr Biol. 2014;24:50–5.CAS 
PubMed 
Article 

Google Scholar 
Słomka J, Alcolombri U, Secchi E, Stocker R, Fernandez VI. Encounter rates between bacteria and small sinking particles. New J Phys. 2020;22:043016.Article 

Google Scholar 
Alcolombri U, Peaudecerf FJ, Fernandez VI, Behrendt L, Lee KS, Stocker R. Sinking enhances the degradation of organic particles by marine bacteria. Nat Geosci. 2021;14:775–80.CAS 
Article 

Google Scholar 
University of Massachusetts Amherst Massachusetts Lynn Margulis, Margulis L, Fester R. Symbiosis as a source of evolutionary innovation: speciation and morphogenesis. MIT Press; 1991. 454 p.Legin AA, Schintlmeister A, Sommerfeld NS, Eckhard M, Theiner S, Reipert S, et al. Nano-scale imaging of dual stable isotope labeled oxaliplatin in human colon cancer cells reveals the nucleolus as a putative node for therapeutic effect. Nanoscale Adv. 2021;3:249–62.CAS 
Article 

Google Scholar 
Schaible GA, et al. Correlative SIP-FISH-Raman-SEM-NanoSIMS links identity, morphology, biochemistry, and physiology of environmental microbes. ISME COMMUN. 2022;2:52.Article 

Google Scholar 
Yu G-H, Chi Z-L, Kappler A, Sun F-S, Liu C-Q, Teng HH, et al. Fungal nanophase particles catalyze iron transformation for oxidative stress removal and iron acquisition. Curr Biol. 2020;30:2943–50.e4.CAS 
PubMed 
Article 

Google Scholar 
Subirana MA, Riemschneider S, Hause G, Dobritzsch D, Schaumlöffel D, Herzberg M. High spatial resolution imaging of subcellular macro and trace element distribution during phagocytosis. Metallomics. 2022;14:mfac011.PubMed 
Article 

Google Scholar 
Bonnin EA, Fornasiero EF, Lange F, Turck CW, Rizzoli SO. NanoSIMS observations of mouse retinal cells reveal strict metabolic controls on nitrogen turnover. BMC Mol Cell Biol. 2021;22:5.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Jo MC, Liu W, Gu L, Dang W, Qin L. High-throughput analysis of yeast replicative aging using a microfluidic system. Proc Natl Acad Sci U S A. 2015;112:9364–9.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Anggraini D, Ota N, Shen Y, Tang T, Tanaka Y, Hosokawa Y, et al. Recent advances in microfluidic devices for single-cell cultivation: methods and applications. Lab Chip. 2022;22:1438–68.CAS 
PubMed 
Article 

Google Scholar 
Eriksen R, Daria V, Gluckstad J. Fully dynamic multiple-beam optical tweezers. Opt Express. 2002;10:597–602.PubMed 
Article 

Google Scholar 
Dai X, Fu W, Chi H, Mesias VSD, Zhu H, Leung CW, et al. Optical tweezers-controlled hotspot for sensitive and reproducible surface-enhanced Raman spectroscopy characterization of native protein structures. Nat Commun. 2021;12:1292.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Collins DJ, Morahan B, Garcia-Bustos J, Doerig C, Plebanski M, Neild A. Two-dimensional single-cell patterning with one cell per well driven by surface acoustic waves. Nat Commun. 2015;6:8686.CAS 
PubMed 
Article 

Google Scholar 
Hu F, Shi L, Min W. Biological imaging of chemical bonds by stimulated Raman scattering microscopy. Nat Methods. 2019;16:830–42.CAS 
PubMed 
Article 

Google Scholar 
Ge X, Pereira FC, Mitteregger M, Berry D, Zhang M, Hausmann B, et al. SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level. Proc Natl Acad Sci U S A. 2022;119:e2203519119.PubMed 
PubMed Central 
Article 

Google Scholar 
Vandergrift GW, Kew W, Lukowski JK, Bhattacharjee A, Liyu AV, Shank EA, et al. Imaging and direct sampling capabilities of nanospray desorption electrospray ionization with absorption-mode 21 Tesla Fourier transform ion cyclotron resonance mass spectrometry. Anal Chem. 2022;94:3629–36.CAS 
PubMed 
Article 

Google Scholar 
Harrison JP, Berry D. Vibrational spectroscopy for imaging single microbial cells in complex biological samples. Front Microbiol. 2017;8:675.PubMed 
PubMed Central 
Article 

Google Scholar 
Mayali X. NanoSIMS: microscale quantification of biogeochemical activity with large-scale impacts. Ann Rev Mar Sci. 2020;12:449–67.PubMed 
Article 

Google Scholar 
Alexandrov T. Spatial metabolomics and imaging mass spectrometry in the age of artificial intelligence. Annu Rev Biomed Data Sci. 2020;3:61–87.PubMed 
PubMed Central 
Article 

Google Scholar 
Boschker HTS, Middelburg JJ. Stable isotopes and biomarkers in microbial ecology. FEMS Microbiol Ecol. 2002;40:85–95.CAS 
PubMed 
Article 

Google Scholar 
Mayali X, Weber PK, Nuccio E, Lietard J, Somoza M, Blazewicz SJ, et al. Chip-SIP: Stable Isotope Probing analyzed with rRNA-targeted microarrays and nanoSIMS. Methods Mol Biol. 2019;2046:71–87.PubMed 
Article 

Google Scholar 
Chokkathukalam A, Kim D-H, Barrett MP, Breitling R, Creek DJ. Stable isotope-labeling studies in metabolomics: new insights into structure and dynamics of metabolic networks. Bioanalysis. 2014;6:511–24.CAS 
PubMed 
Article 

Google Scholar 
Hiller K, Metallo CM, Kelleher JK, Stephanopoulos G. Nontargeted elucidation of metabolic pathways using stable-isotope tracers and mass spectrometry. Anal Chem. 2010;82:6621–8.CAS 
PubMed 
Article 

Google Scholar 
Rusconi R, Garren M, Stocker R. Microfluidics expanding the frontiers of microbial ecology. Annu Rev Biophys. 2014;43:65–91.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Lee KS, Pereira FC, Palatinszky M, Behrendt L, Alcolombri U, Berry D, et al. Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions. Nat Protoc. 2021;16:634–76.CAS 
PubMed 
Article 

Google Scholar 
Wagner M, Haider S. New trends in fluorescence in situ hybridization for identification and functional analyses of microbes. Curr Opin Biotechnol. 2012;23:96–102.CAS 
PubMed 
Article 

Google Scholar  More

Riley M, Gordon D. The ecological role of bacteriocins in bacterial competition. Trends Microbiol. 1999;7:129–33.CAS 
PubMed 
Article 

Google Scholar 
Griffin A, West S, Buckling A. Cooperation and competition in pathogenic bacteria. Nature. 2004;430:1024–7.CAS 
PubMed 
Article 

Google Scholar 
Velicer G, Vos M. Sociobiology of the myxobacteria. Annu Rev Microbiol. 2009;63:599–623.CAS 
PubMed 
Article 

Google Scholar 
Brockhurst M, Habets M, Libberton B, Buckling A, Gardner A. Ecological drivers of the evolution of public-goods cooperation in bacteria. Ecology. 2010;91:334–40.PubMed 
Article 

Google Scholar 
Drescher K, Nadell CD, Stone HA, Wingreen NS, Bassler BL. Solutions to the public goods dilemma in bacterial biofilms. Curr Biol. 2014;24:50–55.CAS 
PubMed 
Article 

Google Scholar 
van Gestel J, Weissing FJ, Kuipers OP, Kovács ÁT. Density of founder cells affects spatial pattern formation and cooperation in Bacillus subtilis biofilms. ISME J. 2014;8:2069–79.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Henrichsen J. Bacterial surface translocation: a survey and a classification. Bacteriol Rev. 1972;36:478–503.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
van Gestel J, Vlamakis H, Kolter R. From cell differentiation to cell collectives: Bacillus subtilis uses division of labor to migrate. PLoS Biol. 2015;13:e1002141.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Hölscher T, Kovács ÁT. Sliding on the surface: bacterial spreading without an active motor. Environ Microbiol. 2017;19:2537–45.PubMed 
Article 

Google Scholar 
Kearns D. A field guide to bacterial swarming motility. Nat Rev Microbiol. 2010;8:634–44.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Nogales J, Bernabéu-Roda L, Cuéllar V, Soto M. ExpR is not required for swarming but promotes sliding in Sinorhizobium meliloti. J Bacteriol. 2012;194:2027–35.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Murray T, Kazmierczak B. Pseudomonas aeruginosa exhibits sliding motility in the absence of type IV pili and flagella. J Bacteriol. 2008;190:2700–8.CAS 
PubMed 
Article 

Google Scholar 
Kinsinger R, Shirk M, Fall R. Rapid surface motility in Bacillus subtilis is dependent on extracellular surfactin and potassium ion. J Bacteriol. 2003;185:5627–31.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Grau RR, De Oña P, Kunert M, Leñini C, Gallegos-Monterrosa R, Mhatre E, et al. A duo of potassium-responsive histidine kinases govern the multicellular destiny of Bacillus subtilis. MBio. 2015;6:e00581–15.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kobayashi K, Iwano M. BslA(YuaB) forms a hydrophobic layer on the surface of Bacillus subtilis biofilms. Mol Microbiol. 2012;85:51–66.CAS 
PubMed 
Article 

Google Scholar 
Hobley L, Ostrowski A, Rao FV, Bromley KM, Porter M, Prescott AR, et al. BslA is a self-assembling bacterial hydrophobin that coats the Bacillus subtilis biofilm. Proc Natl Acad Sci USA. 2013;110:13600–5.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Seminara A, Angelini T, Wilking J, Vlamakis H, Ebrahim S, Kolter R, et al. Osmotic spreading of Bacillus subtilis biofilms driven by an extracellular matrix. Proc Natl Acad Sci USA. 2012;109:1116–21.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kafri M, Metzl-Raz E, Jona G, Barkai N. The cost of protein production. Cell Rep. 2016;14:22–31.CAS 
PubMed 
Article 

Google Scholar 
Sexton D, Schuster M. Nutrient limitation determines the fitness of cheaters in bacterial siderophore cooperation. Nat Commun. 2017;8:230.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Xavier J, Kim W, Foster K. A molecular mechanism that stabilizes cooperative secretions in Pseudomonas aeruginosa. Mol Microbiol. 2011;79:166–79.CAS 
PubMed 
Article 

Google Scholar 
Tai JSB, Mukherjee S, Nero T, Olson R, Tithof J, Nadell CD, et al. Social evolution of shared biofilm matrix components. Proc Natl Acad Sci USA. 2022;119:e2123469119.PubMed 
Article 

Google Scholar 
Branda SS, Chu F, Kearns DB, Losick R, Kolter R. A major protein component of the Bacillus subtilis biofilm matrix. Mol Microbiol. 2006;59:1229–38.CAS 
PubMed 
Article 

Google Scholar 
Martin M, Dragoš A, Hölscher T, Maróti G, Bálint B, Westermann M, et al. De novo evolved interference competition promotes the spread of biofilm defectors. Nat Commun. 2017;8:15127.PubMed 
PubMed Central 
Article 

Google Scholar 
Dragoš A, Kiesewalter H, Martin M, Hsu C-Y, Hartmann R, Wechsler T, et al. Division of labor during biofilm matrix production. Curr Biol. 2018;28:1903–13.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Martin M, Dragoš A, Schäfer D, Maróti G, Kovács ÁT. Cheaters shape the evolution of phenotypic heterogeneity in Bacillus subtilis biofilms. ISME J. 2020;14:2302–12.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Otto SB, Martin M, Schäfer D, Hartmann R, Drescher K, Brix S, et al. Privatization of biofilm matrix in structurally heterogeneous biofilms. mSystems. 2020;5:e00425–20.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Arnaouteli S, Bamford NC, Stanley-Wall NR, Kovács ÁT. Bacillus subtilis biofilm formation and social interactions. Nat Rev Microbiol. 2021;19:600–14.CAS 
PubMed 
Article 

Google Scholar 
Kovács ÁT, Dragoš A. Evolved Biofilm: review on the experimental evolution studies of Bacillus subtilis pellicles. J Mol Biol. 2019;431:4749–59.Dragos A, Lakshmanan N, Martin M, Horvath B, Maroti G, Falcon Garcia C, et al. Evolution of exploitative interactions during diversification in Bacillus subtilis biofilms. FEMS Microbiol Ecol. 2018;94:fix155.Article 
CAS 

Google Scholar 
Dragoš A, Martin M, Garcia CF, Kricks L, Pausch P, Heimerl T, et al. Collapse of genetic division of labour and evolution of autonomy in pellicle biofilms. Nat Microbiol. 2018;3:1451–60.PubMed 
Article 
CAS 

Google Scholar 
van Gestel J, Bareia T, Tenennbaum B, Dal Co A, Guler P, Aframian N, et al. Short-range quorum sensing controls horizontal gene transfer at micron scale in bacterial communities. Nat Commun. 2021;12:2324.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Gore J, Youk H, Van Oudenaarden A. Snowdrift game dynamics and facultative cheating in yeast. Nature. 2009;459:253–6.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Konkol MA, Blair KM, Kearns DB. Plasmid-encoded comI inhibits competence in the ancestral 3610 strain of Bacillus subtilis. J Bacteriol. 2013;195:4085–93.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Hölscher T, Dragoš A, Gallegos-Monterrosa R, Martin M, Mhatre E, Richter A, et al. Monitoring spatial segregation in surface colonizing microbial populations. J Vis Exp. 2016;2016:e54752.
Google Scholar 
Morris R, Schor M, Gillespie R, Ferreira A, Baldauf L, Earl C, et al. Natural variations in the biofilm-associated protein BslA from the genus Bacillus. Sci Rep. 2017;7:6730.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Dogsa I, Brloznik M, Stopar D, Mandic-Mulec I. Exopolymer diversity and the role of levan in Bacillus subtilis biofilms. PLoS One. 2013;8:e62044.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Branda SS, González-Pastor JE, Ben-Yehuda S, Losick R, Kolter R. Fruiting body formation by Bacillus subtilis. Proc Natl Acad Sci USA. 2001;98:11621–6.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Lenski RE, Rose M, Simpson S, Tadler S. Long-term experimental evolution in Escherichia coli. I Adaptation and divergence during 2,000 generations. Am Nat. 1991;138:1315–41.Article 

Google Scholar 
Hallatschek O, Hersen P, Ramanathan S, Nelson DR. Genetic drift at expanding frontiers promotes gene segregation. Proc Natl Acad Sci USA. 2007;104:19926–30.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Slatkin M, Excoffier L. Serial founder effects during range expansion: a spatial analog of genetic drift. Genetics. 2012;191:171–81.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
MacLean R, Fuentes-Hernandez A, Greig D, Hurst L, Gudelj I. A mixture of ‘cheats’ and ‘co-operators’ can enable maximal group benefit. PLoS Biol. 2010;8:e1000486.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Kearns DB. Division of labour during Bacillus subtilis biofilm formation. Mol Microbiol. 2008;67:229–31.CAS 
PubMed 
Article 

Google Scholar 
Kiesewalter HT, Lozano-Andrade CN, Wibowo M, Strube ML, Maróti G, Snyder D, et al. Genomic and chemical diversity of Bacillus subtilis secondary metabolites against plant pathogenic fungi. mSystems. 2021;6:e00770–20.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Stefanic P, Mandic-Mulec I. Social interactions and distribution of Bacillus subtilis pherotypes at microscale. J Bacteriol. 2009;191:1756–64.CAS 
PubMed 
Article 

Google Scholar 
Even-Tov E, Omer Bendori S, Valastyan J, Ke X, Pollak S, Bareia T, et al. Social evolution selects for redundancy in bacterial quorum sensing. PLoS Biol. 2016;14:e1002386.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Kalamara M, Spacapan M, Mandic-Mulec I, Stanley-Wall N. Social behaviours by Bacillus subtilis: quorum sensing, kin discrimination and beyond. Mol Microbiol. 2018;110:863–78.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Aframian N, Eldar A. A bacterial tower of Babel: Quorum-Sensing signaling diversity and its evolution. Annu Rev Microbiol. 2020;74:587–606.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kiesewalter HT, Lozano-Andrade CN, Strube ML, Kovács ÁT. Secondary metabolites of Bacillus subtilis impact the assembly of soil-derived semisynthetic bacterial communities. Beilstein J Org Chem. 2020;16:2983–98.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Dragoš A, Kovács ÁT. The peculiar functions of the bacterial extracellular matrix. Trends Microbiol. 2017;25:257–66.PubMed 
Article 
CAS 

Google Scholar 
Kovács ÁT. Impact of spatial distribution on the development of mutualism in microbes. Front Microbiol. 2014;5:649.PubMed 
PubMed Central 
Article 

Google Scholar 
Zhang F, Kwan A, Xu A, Süel G. A synthetic quorum sensing system reveals a potential private benefit for public good production in a biofilm. PLoS One. 2015;10:e0132948.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Bruce J, West S, Griffin A. Functional amyloids promote retention of public goods in bacteria. Proc Biol Sci. 2019;286:20190709.CAS 
PubMed 
PubMed Central 

Google Scholar 
Ma L, Conover M, Lu H, Parsek M, Bayles K, Wozniak D. Assembly and development of the Pseudomonas aeruginosa biofilm matrix. PLoS Pathog. 2009;5:e1000354.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Hartmann R, Jeckel H, Jelli E, Singh PK, Vaidya S, Bayer M, et al. Quantitative image analysis of microbial communities with BiofilmQ. Nat Microbiol. 2021;6:151–6.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Dar D, Dar N, Cai L, Newman DK. Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution. Science. 2021;373:eabi4882.CAS 
PubMed 
Article 

Google Scholar 
Lozano-Andrade CN, Nogueira CG, Wibowo M, Kovács ÁT. Establishment of a transparent soil system to study Bacillus subtilis chemical ecology. bioRxiv. 2022. https://doi.org/10.1101/2022.01.10.475645.Article 

Google Scholar  More