More stories

  • in

    Assessing the drivers of gut microbiome composition in wild redfronted lemurs via longitudinal metacommunity analysis

    Clemente, J. C., Ursell, L. K., Parfrey, L. W. & Knight, R. The impact of the gut microbiota on human health: An integrative view. Cell 148, 1258–1270 (2012).Article 

    Google Scholar 
    Cryan, J. F. et al. The microbiota-gut-brain axis. Physiol. Rev. 99, 1877–2013 (2019).Article 

    Google Scholar 
    Parfrey, L. W., Walters, W. A. & Knight, R. Microbial eukaryotes in the human microbiome: Ecology, evolution, and future directions. Front. Microbiol. 2, 1–6 (2011).Article 

    Google Scholar 
    Caporaso, J. G. et al. Moving pictures of the human microbiome. Genome Biol. 12, R50 (2011).Article 

    Google Scholar 
    Björk, J. R., Dasari, M., Grieneisen, L. & Archie, E. A. Primate microbiomes over time: Longitudinal answers to standing questions in microbiome research. Am. J. Primatol. 81, 1–23 (2019).Article 

    Google Scholar 
    Costello, E. K., Stagaman, K., Dethlefsen, L., Bohannan, B. J. M. & Relman, D. A. The application of ecological theory toward an understanding of the human microbiome. Science 336, 1255–1262 (2012).Article 
    ADS 

    Google Scholar 
    Miller, E. T., Svanbäck, R. & Bohannan, B. J. M. Microbiomes as metacommunities: Understanding host-associated microbes through metacommunity ecology. Trends Ecol. Evol. 33, 926–935 (2018).Article 

    Google Scholar 
    McKenney, E. A., Koelle, K., Dunn, R. R. & Yoder, A. D. The ecosystem services of animal microbiomes. Mol. Ecol. 27, 2164–2172 (2018).Article 

    Google Scholar 
    Koskella, B., Hall, L. J. & Metcalf, C. J. E. The microbiome beyond the horizon of ecological and evolutionary theory. Nat. Ecol. Evol. 1, 1606–1615 (2017).Article 

    Google Scholar 
    Sarkar, A. et al. Microbial transmission in animal social networks and the social microbiome. Nat. Ecol. Evol. 4, 1020–1035 (2020).Article 

    Google Scholar 
    Rothschild, D. et al. Environment dominates over host genetics in shaping human gut microbiota. Nature 555, 210–215 (2018).Article 
    ADS 

    Google Scholar 
    Degnan, P. H. et al. Factors associated with the diversification of the gut microbial communities within chimpanzees from Gombe National Park. Proc. Natl. Acad. Sci. 109, 13034–13039 (2012).Article 
    ADS 

    Google Scholar 
    Bennett, G. et al. Host age, social group, and habitat type influence the gut microbiota of wild ring-tailed lemurs (Lemur catta). Am. J. Primatol. 78, 883–892 (2016).Article 

    Google Scholar 
    Amato, K. R. et al. Patterns in gut microbiota similarity associated with degree of sociality among sex classes of a neotropical primate. Microb. Ecol. 74, 250–258 (2017).Article 

    Google Scholar 
    Raulo, A. et al. Social behaviour and gut microbiota in red-bellied lemurs (Eulemur rubriventer): In search of the role of immunity in the evolution of sociality. J. Anim. Ecol. 87, 388–399 (2017).Article 

    Google Scholar 
    Springer, A. et al. Patterns of seasonality and group membership characterize the gut microbiota in a longitudinal study of wild Verreaux’s sifakas (Propithecus verreauxi). Ecol. Evol. 7, 5732–5745 (2017).Article 

    Google Scholar 
    Tung, J. et al. Social networks predict gut microbiome composition in wild baboons. Elife 2015, 1–18 (2015).
    Google Scholar 
    Moeller, A. H. et al. Social behavior shapes the chimpanzee pan-microbiome. Sci. Adv. 2, e1500997 (2016).Article 
    ADS 

    Google Scholar 
    Perofsky, A. C., Lewis, R. J., Abondano, L. A., Di Fiore, A. & Meyers, L. A. Hierarchical social networks shape gut microbial composition in wild Verreaux’s sifaka. Proc. R. Soc. B Biol. Sci. 284, 20172274 (2017).Article 

    Google Scholar 
    Raulo, A. et al. Social networks strongly predict the gut microbiota of wild mice. ISME J. 15, 2601–2613 (2021).Article 

    Google Scholar 
    Arrieta, M. C., Stiemsma, L. T., Amenyogbe, N., Brown, E. & Finlay, B. The intestinal microbiome in early life: Health and disease. Front. Immunol. 5, 1–18 (2014).Article 

    Google Scholar 
    Ren, T., Grieneisen, L. E., Alberts, S. C., Archie, E. A. & Wu, M. Development, diet and dynamism: Longitudinal and cross-sectional predictors of gut microbial communities in wild baboons. Environ. Microbiol. 18, 1312–1325 (2016).Article 

    Google Scholar 
    Jagsi, R. et al. Seasonal cycling in the gut microbiome of the Hadza Hunter-Gatherers of Tanzania. Science 357, 802–806 (2017).Article 

    Google Scholar 
    Hicks, A. L. et al. Gut microbiomes of wild great apes fluctuate seasonally in response to diet. Nat. Commun. 9, 1786 (2018).Article 
    ADS 

    Google Scholar 
    Murillo, T., Schneider, D., Fichtel, C. & Daniel, R. Dietary shifts and social interactions drive temporal fluctuations of the gut microbiome from wild redfronted lemurs. ISME Commun. 2, 3 (2022).Article 

    Google Scholar 
    Laforest-Lapointe, I. & Arrieta, M.-C. Microbial eukaryotes: A missing link in gut microbiome studies. mSystems 3, e00201-17 (2018).Article 

    Google Scholar 
    Mann, A. E. et al. Biodiversity of protists and nematodes in the wild nonhuman primate gut. ISME J. 14, 609–622 (2020).Article 

    Google Scholar 
    Vlčková, K. et al. Relationships between gastrointestinal parasite infections and the fecal microbiome in free-ranging western lowland gorillas. Front. Microbiol. 9, 1–12 (2018).Article 

    Google Scholar 
    Renelies-Hamilton, J. et al. Exploring interactions between Blastocystis sp., Strongyloides spp. and the gut microbiomes of wild chimpanzees in Senegal. Infect. Genet. Evol. 74, 104010 (2019).Article 

    Google Scholar 
    Martínez-Mota, R., Righini, N., Mallott, E. K., Gillespie, T. R. & Amato, K. R. The relationship between pinworm (Trypanoxyuris) infection and gut bacteria in wild black howler monkeys (Alouatta pigra). Am. J. Primatol. 83, e23330 (2021).Article 

    Google Scholar 
    Pereira, M. E., Kaufman, R., Kappeler, P. M. & Overdoff, D. J. Female dominance does not characterize all of the lemuridae. Folia Primatol. 55, 96–103 (1990).Article 

    Google Scholar 
    Ostner, J. & Kappeler, P. M. Central males instead of multiple pairs in redfronted lemurs, Eulemur fulvus rufus (Primates, Lemuridae)?. Anim. Behav. 58, 1069–1078 (1999).Article 

    Google Scholar 
    Kappeler, P. M. & Fichtel, C. A 15-year perspective on the social organization and life history of sifaka in Kirindy Forest. In Long-Term Field Studies of Primates 101–121 (Springer, 2012).Chapter 

    Google Scholar 
    Koch, F., Ganzhorn, J. U., Rothman, J. M., Chapman, C. A. & Fichtel, C. Sex and seasonal differences in diet and nutrient intake in Verreaux’s sifakas (Propithecus verreauxi). Am. J. Primatol. 79, 1–10 (2017).Article 

    Google Scholar 
    Scholz, F. & Kappeler, P. M. Effects of seasonal water scarcity on the ranging behavior of Eulemur fulvus rufus. Int. J. Primatol. 25, 599–613 (2004).Article 

    Google Scholar 
    Amoroso, C. R., Kappeler, P. M., Fichtel, C. & Nunn, C. L. Water availability impacts habitat use by red-fronted lemurs (Eulemur rufifrons): An experimental and observational study. Int. J. Primatol. 41, 61–80 (2020).Article 

    Google Scholar 
    Clough, D., Heistermann, M. & Kappeler, P. M. Host intrinsic determinants and potential consequences of parasite infection in free-ranging red-fronted lemurs (Eulemur fulvus rufus). Am. J. Phys. Anthropol. 142, 441–452 (2010).Article 

    Google Scholar 
    Ostner, J., Kappeler, P. & Heistermann, M. Androgen and glucocorticoid levels reflect seasonally occurring social challenges in male redfronted lemurs (Eulemur fulvus rufus). Behav. Ecol. Sociobiol. 62, 627–638 (2008).Article 

    Google Scholar 
    Heistermann, M., Palme, R. & Ganswindt, A. Comparison of different enzymeimmunoassays for assessment of adrenocortical activity in primates based on fecal analysis. Am. J. Primatol. 68, 257–273 (2006).Article 

    Google Scholar 
    Kappeler, P. M. & Fichtel, C. Female reproductive competition in Eulemur rufifrons: Eviction and reproductive restraint in a plurally breeding Malagasy primate. Mol. Ecol. 21, 685–698 (2012).Article 

    Google Scholar 
    Ostner, J., Kappeler, P. M. & Heistermann, M. Seasonal variation and social correlates of androgen excretion in male redfronted lemurs (Eulemur fulvus rufus). Behav. Ecol. Sociobiol. 52, 485–495 (2002).Article 

    Google Scholar 
    Clough, D. Gastro-intestinal parasites of red-fronted lemurs in Kirindy Forest, western Madagascar. J. Parasitol. 96, 245–251 (2010).Article 

    Google Scholar 
    Gogarten, J. F. et al. Metabarcoding of eukaryotic parasite communities describes diverse parasite assemblages spanning the primate phylogeny. Mol. Ecol. Resour. 20, 204–215 (2020).Article 

    Google Scholar 
    Barton, R. A. Allogrooming as mutualism in diurnal lemurs. Primates 28, 539–542 (1987).Article 

    Google Scholar 
    Noguera, J. C., Aira, M., Pérez-Losada, M., Domínguez, J. & Velando, A. Glucocorticoids modulate gastrointestinal microbiome in a wild bird. R. Soc. Open Sci. 5, 171743 (2018).Article 
    ADS 

    Google Scholar 
    Klindworth, A. et al. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 41, 1–11 (2013).Article 

    Google Scholar 
    Stoeck, T. et al. Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Mol. Ecol. 19, 21–31 (2010).Article 

    Google Scholar 
    Quast, C. et al. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 41, 590–596 (2013).Article 

    Google Scholar 
    Yarza, P. et al. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat. Rev. Microbiol. 12, 635–645 (2014).Article 

    Google Scholar 
    Guillou, L. et al. The Protist Ribosomal Reference database (PR2): A catalog of unicellular eukaryote small sub-unit rRNA sequences with curated taxonomy. Nucleic Acids Res. 41, 597–604 (2013).Article 

    Google Scholar 
    Gao, X., Lin, H., Revanna, K. & Dong, Q. A Bayesian taxonomic classification method for 16S rRNA gene sequences with improved species-level accuracy. BMC Bioinform. 18, 1–10 (2017).Article 

    Google Scholar 
    Reitmeier, S. et al. Handling of spurious sequences affects the outcome of high-throughput 16S rRNA gene amplicon profiling. ISME Commun. 1, 1–12 (2021).Article 

    Google Scholar 
    Shutt, K., Setchell, J. M. & Heistermann, M. Non-invasive monitoring of physiological stress in the Western lowland gorilla (Gorilla gorilla gorilla): Validation of a fecal glucocorticoid assay and methods for practical application in the field. Gen. Comp. Endocrinol. 179, 167–177 (2012).Article 

    Google Scholar 
    Hämäläinen, A., Heistermann, M., Fenosoa, Z. S. E. & Kraus, C. Evaluating capture stress in wild gray mouse lemurs via repeated fecal sampling: Method validation and the influence of prior experience and handling protocols on stress responses. Gen. Comp. Endocrinol. 195, 68–79 (2014).Article 

    Google Scholar 
    Rudolph, K., Fichtel, C., Heistermann, M. & Kappeler, P. M. Dynamics and determinants of glucocorticoid metabolite concentrations in wild Verreaux’s sifakas. Horm. Behav. 124, 104760 (2020).Article 

    Google Scholar 
    Heitlinger, E., Ferreira, S. C. M., Thierer, D., Hofer, H. & East, M. L. The intestinal eukaryotic and bacterial biome of spotted hyenas: The impact of social status and age on diversity and composition. Front. Cell Infect. Microbiol. 7, 262 (2017).Article 

    Google Scholar 
    Barr, D. J., Levy, R., Scheepers, C. & Tily, H. J. Random effects structure for confirmatory hypothesis testing: Keep it maximal. J. Mem. Lang. 68, 255–278 (2013).Article 

    Google Scholar 
    Mallick, H. et al. Multivariable association discovery in population-scale meta-omics studies. PLoS Comput. Biol. 17, 1–27 (2021).Article 

    Google Scholar 
    De Cáceres, M., Legendre, P. & Moretti, M. Improving indicator species analysis by combining groups of sites. Oikos 119, 1674–1684 (2010).Article 

    Google Scholar 
    Silk, J., Cheney, D. & Seyfarth, R. A practical guide to the study of social relationships. Evol. Anthropol. 22, 213–225 (2013).Article 

    Google Scholar 
    Ostner, J., Nunn, C. L. & Schülke, O. Female reproductive synchrony predicts skewed paternity across primates. Behav. Ecol. 19, 1150–1158 (2008).Article 

    Google Scholar 
    Bailey, M. T. et al. Exposure to a social stressor alters the structure of the intestinal microbiota: Implications for stressor-induced immunomodulation. Brain Behav. Immun. 25, 397–407 (2011).Article 

    Google Scholar 
    Bailey, M. T. et al. Stressor exposure disrupts commensal microbial populations in the intestines and leads to increased colonization by Citrobacter rodentium. Infect. Immun. 78, 1509–1519 (2010).Article 

    Google Scholar 
    Stothart, M. R. et al. Stress and the microbiome: Linking glucocorticoids to bacterial community dynamics in wild red squirrels. Biol. Lett. 12, 20150875 (2016).Article 

    Google Scholar 
    Vlčková, K. et al. Impact of stress on the gut microbiome of free-ranging western lowland gorillas. Microbiol 164, 40–44 (2018).Article 

    Google Scholar 
    Chu, H. & Mazmanian, S. K. Innate immune recognition of the microbiota promotes host-microbial symbiosis. Nat. Immunol. 14, 668–675 (2013).Article 

    Google Scholar 
    Zheng, D., Liwinski, T. & Elinav, E. Interaction between microbiota and immunity in health and disease. Cell Res. 30, 492–506 (2020).Article 

    Google Scholar 
    Ley, R. E. Prevotella in the gut: Choose carefully. Nat. Rev. Gastroenterol. Hepatol. 13, 69–70 (2016).Article 

    Google Scholar 
    Manara, S. et al. Microbial genomes from non-human primate gut metagenomes expand the primate-associated bacterial tree of life with over 1000 novel species. Genome Biol. 20, 299 (2019).Article 

    Google Scholar 
    Round, J. L. & Mazmanian, S. K. The gut microbiota shapes intestinal immune responses during health and disease. Nat. Rev. Immunol. 9, 313–323 (2009).Article 

    Google Scholar 
    Maltz, R. M. et al. Prolonged restraint stressor exposure in outbred CD-1 mice impacts microbiota, colonic inflammation, and short chain fatty acids. PLoS ONE 13, 1–19 (2018).Article 

    Google Scholar 
    Ostner, J. & Heistermann, M. Endocrine characterization of female reproductive status in wild redfronted lemurs (Eulemur fulvus rufus). Gen. Comp. Endocrinol. 131, 274–283 (2003).Article 

    Google Scholar 
    Peckre, L. R., Defolie, C., Kappeler, P. M. & Fichtel, C. Potential self-medication using millipede secretions in red-fronted lemurs: Combining anointment and ingestion for a joint action against gastrointestinal parasites?. Primates 59, 483–494 (2018).Article 

    Google Scholar 
    Jenkins, T. P. et al. Infections by human gastrointestinal helminths are associated with changes in faecal microbiota diversity and composition. PLoS ONE 12, 1–18 (2017).Article 

    Google Scholar 
    Rosa, B. A. et al. Differential human gut microbiome assemblages during soil-transmitted helminth infections in Indonesia and Liberia. Microbiome 6, 1–19 (2018).Article 

    Google Scholar 
    Reynolds, L. A., Finlay, B. B. & Maizels, R. M. Cohabitation in the intestine: Interactions among helminth parasites, bacterial microbiota, and host immunity. J. Immunol. 195, 4059–4066 (2015).Article 

    Google Scholar 
    Toro-Londono, M. A., Bedoya-Urrego, K., Garcia-Montoya, G. M., Galvan-Diaz, A. L. & Alzate, J. F. Intestinal parasitic infection alters bacterial gut microbiota in children. PeerJ 2019, 1–24 (2019).
    Google Scholar 
    Vacca, M. et al. The controversial role of human gut Lachnospiraceae. Microorganisms 8, 1–25 (2020).Article 

    Google Scholar 
    Wei, Z. et al. The effects of non-fiber carbohydrate content and forage type on rumen microbiome of dairy cows. Animals 11, 1–17 (2021).Article 

    Google Scholar 
    Kaakoush, N. O. Insights into the role of Erysipelotrichaceae in the human host. Front. Cell Infect. Microbiol. 5, 1–4 (2015).Article 

    Google Scholar 
    Ricaboni, D. et al. ‘Colidextribacter massiliensis’ gen. nov., sp. nov., isolated from human right colon. New Microbes New Infect. 17, 27–29 (2017).Article 

    Google Scholar 
    Qin, P. et al. Characterization a novel butyric acid-producing bacterium Collinsella aerofaciens subsp. shenzhenensis subsp. nov. Microorganisms 7, 78 (2019).Article 

    Google Scholar 
    Wei, Y. et al. Commensal bacteria impact a protozoan’s integration into the murine gut microbiota in a dietary nutrient-dependent manner. Appl. Environ. Microbiol. 86, e00303-20 (2020).Article 
    ADS 

    Google Scholar 
    Perofsky, A. C., Ancel Meyers, L., Abondano, L. A., Di Fiore, A. & Lewis, R. J. Social groups constrain the spatiotemporal dynamics of wild sifaka gut microbiomes. Mol. Ecol. 30, 6759–6775 (2021).Article 

    Google Scholar 
    Pyritz, L., Kappeler, P. M. & Fichtel, C. Coordination of group movements in wild red-fronted lemurs (Eulemur rufifrons): Processes and influence of ecological and reproductive seasonality. Int. J. Primatol. 32, 1325–1347 (2011).Article 

    Google Scholar 
    Amato, K. R. et al. Habitat degradation impacts black howler monkey (Alouatta pigra) gastrointestinal microbiomes. ISME J. 7, 1344–1353 (2013).Article 

    Google Scholar 
    Hippe, H., Hagelstein, A., Kramer, I., Swiderski, J. & Stackebrandt, E. Phylogenetic analysis of Formivibrio citricus, Propionivibrio dicarboxylicus, Anaerobiospirillum thomasii, Succinirnonas amylolytica and Succinivibrio dextrinosolvens and proposal of Succinivibrionaceae fam. nov. Int. J. Syst. Evol. Microbiol. 49, 779–782 (1999).Article 

    Google Scholar 
    Grieneisen, L. E., Livermore, J., Alberts, S., Tung, J. & Archie, E. A. Group living and male dispersal predict the core gut microbiome in wild baboons. Integr. Comp. Biol. 57, 770–785 (2017).Article 

    Google Scholar 
    Amoroso, C. R., Kappeler, P. M., Fichtel, C. & Nunn, C. L. Fecal contamination, parasite risk, and waterhole use by wild animals in a dry deciduous forest. Behav. Ecol. Sociobiol. 73, 1–11 (2019).Article 

    Google Scholar 
    Vandeputte, D. et al. Stool consistency is strongly associated with gut microbiota richness and composition, enterotypes and bacterial growth rates. Gut 65, 57–62 (2016).Article 

    Google Scholar 
    Falony, G. et al. Population-level analysis of gut microbiome variation. Science 352, 560–564 (2016).Article 
    ADS 

    Google Scholar 
    Sonnenburg, J. L. & Bäckhed, F. Diet-microbiota interactions as moderators of human metabolism. Nature 535, 56–64 (2016).Article 
    ADS 

    Google Scholar 
    Zmora, N., Suez, J. & Elinav, E. You are what you eat: Diet, health and the gut microbiota. Nat. Rev. Gastroenterol. Hepatol. 16, 25–56 (2018).
    Google Scholar 
    Ortmann, S., Bradley, B. J., Stolter, C. & Ganzhorn, J. U. Estimating the quality and composition of wild animal diets—a critical survey of methods. In Feeding Ecology in Apes and Other Primates. Ecological, Physical, and Behavioral Aspects (eds Hohmann, G. et al.) 395–418 (Cambridge University Press, 2006).
    Google Scholar  More

  • in

    Natural plant diet impacts phenotypic expression of pyrethroid resistance in Anopheles mosquitoes

    Bhatt, S. et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature 526, 207–211 (2015).Article 
    ADS 

    Google Scholar 
    WHO. Test procedures for insecticide resistance monitoring in malaria vector mosquitoes (2016).WHO. Guidelines for malaria vector control (2019).Gnankiné, O. et al. Insecticide resistance in Bemisia tabaci Gennadius (Homoptera: Aleyrodidae) and Anopheles gambiae Giles (Diptera: Culicidae) could compromise the sustainability of malaria vector control strategies in West Africa. Acta Trop. 128, 7–17 (2013).Article 

    Google Scholar 
    Ranson, H. & Lissenden, N. Insecticide resistance in African Anopheles mosquitoes: A worsening situation that needs urgent action to maintain malaria control. Trends Parasitol. 32, 187–196 (2016).Article 

    Google Scholar 
    Reid, M. C. & McKenzie, F. E. The contribution of agricultural insecticide use to increasing insecticide resistance in African malaria vectors. Malar. J. 15, 1–8 (2016).Article 

    Google Scholar 
    Huijben, S. & Paaijmans, K. P. Putting evolution in elimination: Winning our ongoing battle with evolving malaria mosquitoes and parasites. Spec. Issue Rev. Synth. https://doi.org/10.1111/eva.12530 (2017).Article 

    Google Scholar 
    WHO. Global technical strategy for malaria 2016–2030, 2021 update (2021).Ranson, H. et al. Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids. Insect Mol. Biol. 9, 491–497 (2000).Article 

    Google Scholar 
    Weill, M. et al. The unique mutation in ace-1 giving high insecticide resistance is easily detectable in mosquito vectors. Insect Mol. Biol. 13, 1–7 (2004).Article 
    ADS 

    Google Scholar 
    Ranson, H. et al. Pyrethroid resistance in African anopheline mosquitoes: What are the implications for malaria control?. Trends Parasitol. 27, 91–98 (2011).Article 

    Google Scholar 
    Hemingway, J., Hawkes, N. J., McCarroll, L. & Ranson, H. The molecular basis of insecticide resistance in mosquitoes. Insect Biochem. Mol. Biol. 34, 653–665 (2004).Article 

    Google Scholar 
    Martinez-Torres, D. et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s.. Insect Mol. Biol. 7, 179–184 (1998).Article 

    Google Scholar 
    Jones, C. et al. Footprints of positive selection associated with a mutation (N1575Y) in the voltage-gated sodium channel of Anopheles gambiae. Proc. Natl. Acad. Sci. U. S. A. 109, 6614–6619 (2012).Article 
    ADS 

    Google Scholar 
    Hunt, R. H., Brooke, B. D., Pillay, C., Koekemoer, L. L. & Coetzee, M. Laboratory selection for and characteristics of pyrethroid resistance in the malaria vector Anopheles funestus. Med. Vet. Entomol. 19, 271–275 (2005).Article 

    Google Scholar 
    Glunt, K. D., Thomas, M. B. & Read, A. F. The effects of age, exposure history and malaria infection on the susceptibility of Anopheles mosquitoes to low concentrations of pyrethroid. PLoS One 6, e24968 (2011).
    Article 
    ADS 

    Google Scholar 
    Rajatileka, S., Burhani, J. & Ranson, H. Mosquito age and susceptibility to insecticides. Trans. R. Soc. Trop. Med. Hyg. 105, 247–253 (2011).Article 

    Google Scholar 
    Chouaibou, M. S. et al. Increase in susceptibility to insecticides with aging of wild Anopheles gambiae mosquitoes from Côte d’Ivoire. BMC Infect. Dis. 12, 1–7 (2012).Article 

    Google Scholar 
    Jones, C. M. et al. Aging partially restores the efficacy of malaria vector control in insecticide-resistant populations of Anopheles gambiae s.l. from Burkina Faso. Malar. J. 11, 1–11 (2012).Article 

    Google Scholar 
    Kulma, K., Saddler, A. & Koella, J. C. Effects of age and larval nutrition on phenotypic expression of insecticide-resistance in Anopheles Mosquitoes. PLoS ONE 8, 8–11 (2013).Article 

    Google Scholar 
    Aïzoun, N., Aïkpon, R., Azondekon, R., Asidi, A. & Akogbéto, M. Comparative susceptibility to permethrin of two Anopheles gambiae s.l. populations from Southern Benin, regarding mosquito sex, physiological status and mosquito age. Asian Pac. J. Trop. Biomed. 4, 312–317 (2014).Article 

    Google Scholar 
    Collins, E. et al. The relationship between insecticide resistance, mosquito age and malaria prevalence in Anopheles gambiae s.l. from Guinea. Sci. Rep. 9, 1–12 (2019).Article 

    Google Scholar 
    Oliver, S. & Brooke, B. The effect of larval nutritional deprivation on the life history and DDT resistance phenotype in laboratory strains of the malaria vector Anopheles arabiensis. Malar. J. 12, 1–9 (2013).Article 

    Google Scholar 
    Owusu, H. F., Chitnis, N. & Müller, P. Insecticide susceptibility of Anopheles mosquitoes changes in response to variations in the larval environment. Sci. Rep. 7, 1–9 (2017).Article 

    Google Scholar 
    Sovegnon, P. M., Fanou, M. J., Akoton, R. & Djihinto, O. Y. Effects of larval diet on the life-history traits and phenotypic expression of pyrethroid resistance in the major malaria vector Anopheles gambiae s.s. Preprint at bioRxiv http://doi.org/https://doi.org/10.1101/2022.01.11.475801 (2022).Halliday, W. R. & Feyereisen, R. Why does DDT toxicity change after a blood meal in adult female Culex pipiens?. Pestic. Biochem. Physiol. 28, 172–181 (1987).Article 

    Google Scholar 
    Oliver, S. V., Lyons, C. L. & Brooke, B. D. The effect of blood feeding on insecticide resistance intensity and adult longevity in the major malaria vector Anopheles funestus (Diptera: Culicidae). Sci. Rep. 12, 1–9 (2022).Article 

    Google Scholar 
    Farenhorst, M. et al. Fungal infection counters insecticide resistance in African malaria mosquitoes. Proc. Natl. Acad. Sci. U. S. A. 106, 17443–17447 (2009).Article 
    ADS 

    Google Scholar 
    Koella, J. C., Saddler, A. & Karacs, T. P. S. Blocking the evolution of insecticide-resistant malaria vectors with a microsporidian. Evol. Appl. 5, 283–292 (2012).Article 

    Google Scholar 
    Alout, H. et al. Interplay between Plasmodium infection and resistance to insecticides in vector mosquitoes. J. Infect. Dis. 210, 1464–1470 (2014).Article 

    Google Scholar 
    Glunt, K. D., Oliver, S. V., Hunt, R. H. & Paaijmans, K. P. The impact of temperature on insecticide toxicity against the malaria vectors Anopheles arabiensis and Anopheles funestus. Malar. J. 17, 1–8 (2018).Article 

    Google Scholar 
    Oliver, S. & Brooke, B. The effect of commercial herbicide exposure on the life history and insecticide resistance phenotypes of the major malaria vector Anopheles arabiensis (Diptera: culicidae). Acta Trop. 188, 152–160 (2018).Article 

    Google Scholar 
    Oliver, S. & Brooke, B. The effect of metal pollution on the life history and insecticide resistance phenotype of the major malaria vector Anopheles arabiensis (Diptera: Culicidae). PLoS ONE 13, 1–17 (2018).Article 

    Google Scholar 
    Foster, W. A. Mosquito sugar feeding and reproductive energetics. Annu. Rev. Entomol. 40, 443–474 (1995).Article 

    Google Scholar 
    Nyasembe, V. O., Tchouassi, D. P., Pirk, C. W. W., Sole, C. L. & Torto, B. Host plant forensics and olfactory-based detection in Afro-tropical mosquito disease vectors. PLoS Negl. Trop. Dis. 12, 1–21 (2018).Article 

    Google Scholar 
    Barredo, E. & DeGennaro, M. Not just from blood: Mosquito nutrient acquisition from nectar sources. Trends Parasitol. 36, 473–484 (2020).Article 

    Google Scholar 
    Stone, C. M. & Foster, W. A. Plant-sugar feeding and vectorial capacity. In Ecology of Parasite-Vector Interactions (eds Takken, W. & Koenraadt, C.) 35–79 (Wageningen Academic, 2013). https://doi.org/10.3920/978-90-8686-744-8_3.Chapter 

    Google Scholar 
    Hien, D. F. D. S. et al. Plant-mediated effects on mosquito capacity to transmit human malaria. PLoS Pathog. 12, e1005773 (2016).Article 

    Google Scholar 
    Stone, C., Witt, A., Walsh, G., Foster, W. & Murphy, S. Would the control of invasive alien plants reduce malaria transmission? A review. Parasites Vectors 11, 1–18 (2018).Article 

    Google Scholar 
    Ebrahimi, B. et al. Alteration of plant species assemblages can decrease the transmission potential of malaria mosquitoes. J. Appl. Ecol. 55, 841–851 (2018).Article 

    Google Scholar 
    Manda, H. et al. Discriminative feeding behaviour of Anopheles gambiae s.s. on endemic plants in western Kenya. Med. Vet. Entomol. 21, 103–111 (2007).Article 

    Google Scholar 
    Nyasembe, V. O. et al. Plasmodium falciparum infection increases Anopheles gambiae attraction to nectar sources and sugar uptake. Curr. Biol. 24, 217–221 (2014).Article 

    Google Scholar 
    Després, L., David, J. P. & Gallet, C. The evolutionary ecology of insect resistance to plant chemicals. Trends Ecol. Evol. 22, 298–307 (2007).Article 

    Google Scholar 
    Nkya, T. E., Akhouayri, I., Kisinza, W. & David, J. P. Impact of environment on mosquito response to pyrethroid insecticides: Facts, evidences and prospects. Insect Biochem. Mol. Biol. 43, 407–416 (2013).Article 

    Google Scholar 
    Li, X., Schuler, M. A. & Berenbaum, M. R. Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics. Annu. Rev. Entomol. 52, 231–253 (2007).Article 

    Google Scholar 
    Bationo, C. S. et al. Spatio-temporal analysis and prediction of malaria cases using remote sensing meteorological data in Diébougou health district, Burkina Faso, 2016–2017. Sci. Rep. 11, 1–12 (2021).Article 

    Google Scholar 
    Namountougou, M. et al. First report of the L1014S kdr mutation in wild populations of Anopheles gambiae M and S molecular forms in Burkina Faso (West Africa). Acta Trop. 125, 123–127 (2013).Article 

    Google Scholar 
    Service, M. W. A critical review of procedures for sampling populations of adult mosquitoes. Bull. Entomol. Res. 67, 343–382 (1977).Article 

    Google Scholar 
    Thiombiano, A. et al. Catalogue des plantes vasculaires du Burkina Faso. In Boissiera Vol. 65 (ed Cyrille Chatelain) (Conservatoire et Jardin botaniques, 2012).Morlais, I., Ponçon, N., Simard, F., Cohuet, A. & Fontenille, D. Intraspecific nucleotide variation in Anopheles gambiae: New insights into the biology of malaria vectors. Am. J. Trop. Med. Hyg. 71, 795–802 (2004).Article 

    Google Scholar 
    Santolamazza, F. et al. Insertion polymorphisms of SINE200 retrotransposons within speciation islands of Anopheles gambiae molecular forms. Malar. J. 7, 163 (2008).Article 

    Google Scholar 
    R Core Team. A language and environment for statistical computing (2021).Crawley, M. J. The R Book (Wiley, 2007).Book 
    MATH 

    Google Scholar 
    Lenth, R. V. emmeans: Estimated marginal means, aka least-squares means (2021).Hien, A. et al. Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: Bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae. Malar. J. 20, 1–13 (2021).Article 

    Google Scholar 
    Nicolson, S. W., Nepi, M. & Pacini, E. Nectaries and Nectar (Springer, Dordrecht, 2007).Book 

    Google Scholar 
    Abdu-Allah, G. et al. Dietary antioxidants impact DDT resistance in Drosophila melanogaster. PLoS ONE 15, 1–12 (2020).Article 

    Google Scholar 
    Gnankiné, O. & Bassolé, I. L. H. N. Essential oils as an alternative to pyrethroids’ resistance against Anopheles species complex giles (Diptera: Culicidae). Molecules 22, 1321 (2017).Article 

    Google Scholar 
    Gendrin, M. & Christophides, G. K. The Anopheles mosquito microbiota and their impact on pathogen transmission. In Anopheles Mosquitoes—New Insights into Malar. Vectors (ed. Manguin, S.) (IntechOpen, 2013).Saab, S. A. et al. The environment and species affect gut bacteria composition in laboratory co-cultured Anopheles gambiae and Aedes albopictus mosquitoes. Sci. Rep. 10, 1–13 (2020).Article 

    Google Scholar 
    Dada, N., Sheth, M., Liebman, K., Pinto, J. & Lenhart, A. Whole metagenome sequencing reveals links between mosquito microbiota and insecticide resistance in malaria vectors. Sci. Rep. 8, 1–13 (2018).Article 

    Google Scholar 
    Barnard, K., Jeanrenaud, A. C. S. N., Brooke, B. D. & Oliver, S. V. The contribution of gut bacteria to insecticide resistance and the life histories of the major malaria vector Anopheles arabiensis (Diptera: Culicidae). Sci. Rep. 9, 1–11 (2019).Article 

    Google Scholar 
    Omoke, D. et al. Western Kenyan Anopheles gambiae showing intense permethrin resistance harbour distinct microbiota. Malar. J. 20, 1–14 (2021).Article 

    Google Scholar 
    Pelloquin, B. et al. Overabundance of Asaia and Serratia Bacteria is associated with deltamethrin insecticide susceptibility in Anopheles coluzzii from Agboville, Côte d’Ivoire. Microbiol. Spectr. 9, e00157-21 (2021).Article 

    Google Scholar 
    WHO. Test procedures for insecticide resistance monitoring in malaria vector mosquitoes (2013).Owusu, H. F., Jančáryová, D., Malone, D. & Müller, P. Comparability between insecticide resistance bioassays for mosquito vectors: Time to review current methodology?. Parasites Vectors 8, 1–11 (2015).Article 

    Google Scholar  More

  • in

    Francisella tularensis PCR detection in Cape hares (Lepus capensis) and wild rabbits (Oryctolagus cuniculus) in Algeria

    Tularemia affects animal welfare, human health, and the environment and is thus better approached from a one-health perspective27. Several studies in the Northern hemisphere28, and more recently in Australia15,16, have provided a vital research track in the epidemiology of this disease. In contrast, studies in Africa are too limited and scarce. The aim of this study was to investigate the presence of tularemia in wild leporids collected in Northern Algeria. These animals are highly susceptible to F. tularensis infection and considered sentinel hosts for surveillance of tularemia. The strategy we used to detect F. tularensis in leporids mainly used molecular, histological and immunohistochemical analyzes of tissues taken from animals found dead or hunted. To the best of our knowledge, detection of F. tularensis by PCR or culture has not been previously reported in wild leporidae in Algeria or other African countries.Animal tissue samples were tested using three qPCR assays of variable sensitivity and specificity. The Type B-qPCR test targets a specific junction between ISFtu2 and a flanking 3′ region, which is considered specific for F. tularensis subsp. holarctica26, the only tularemia agent found in Europe and Asia. The Tul4-qPCR assay targets a simple copy gene encoding a surface protein, which can be found in the genome of all F. tularensis subspecies causing tularemia and that of the aquatic bacterium F. novicida. Because F. novicida has never been isolated from lagomorphs or other animal species, and very rarely from human29, a positive Tul4 qPCR for the studied tissue samples likely indicated the presence of F. tularensis DNA. The ISFtu2 qPCR is considered highly sensitive because multiple copies of this insertion sequence are found in the F. tularensis genome. However, it lacks specificity because ISFtu2 is also found in many other Francisella species25.Two animals were considered “probable” tularemia cases because some of their samples were positive for the three qPCR tests. Ten animals were considered “possible” tularemia cases because their samples were positive for the ISFtu2 and Tul4 qPCRs but not the Type B qPCR. Finally 19 leporids were “uncertain” cases because only samples positive for the ISFtu2 qPCR were found. For the remaining 43 animals, all the tested samples were negative for the three qPCRs. Overall, we detected F. tularensis DNA-positive samples in 12/74 (16.21%) leporids, which strongly suggest that tularemia is present in the lagomorph population of the study area. The positive Type B qPCR tests in two animals suggested that F. tularensis subsp. holarctica could be the involved subspecies. We did not confirm these data by isolating F. tularensis from the studied leporids. However, the isolation of this pathogen from human or animal samples is tedious and has a low sensitivity13. Moreover, most of our samples were not appropriate for F. tularensis culture because of their long-term preservation in ethanol 70° or 10% formalin. Further study using fresh (non-fixed) tissue samples from dead leporids collected in the same study area is needed to definitively confirm the presence of tularemia in these animals and characterize the F. tularensis subspecies and genotypes involved.Although PCR is usually more sensitive than culture for detecting F. tularensis, it also has some limitations. Firstly, the DNA extraction from organs preserved in ethanol for several months was difficult although easier for spleen than for liver samples. Some tissue samples could be lysed only after overnight incubation with proteinase K. Secondly, tissue samples contained PCR inhibitors as demonstrated by better DNA amplification from some samples after their dilution in PCR grade water. To reduce the effect of PCR inhibitors, organ samples with negative qPCR were retested using Bovine Serum Albumin (BSA) and the Real-time PCR system TaqMan (Applied Biosystems, Munich, Germany)30. Finally, DNA regions to be amplified were optimized to obtain high sensitivity and specificity of qPCR tests.IHC detection of F. tularensis in formalin-fixed tissue can be helpful for tularemia diagnosis31,32. For one possible tularemia case, F. tularensis could be detected on immunohistochemical (IHC) examination of a liver sample using a specific anti-F. tularensis antibody. The intensity and localization of positive staining were comparable to those previously recorded for other animals32,33. IHC did not provide interpretable findings for four other tested specimens. Such negative results might be explained by an inhomogeneous distribution of infectious foci in the involved organs as well as a low bacterial inoculum in infected tissues. This has been previously demonstrated in tularemia granulomatous lesions in cell types like epithelial cells of the kidney, testis, and epididymis, hepatocytes, and bronchiolar epithelial cells31. Besides, IHC is a delicate technology whose results are highly dependent on the quality and fixation time of the organ tissues34. IHC analysis of dead animal tissues remains challenging, especially in case of tissue necrosis34.In our limited case series we found a F. tularensis infection prevalence in leporids of 2.7% (2/74) for probable tularemia cases and 16.2% (12/74) when considering both probable and posible cases. We cannot make a guess about the prevalence of tularemia because our series is not representative of the general lagomorph population in the study area. In Germany, F. tularensis DNA was detected in 1.1% of European Brown hares and 2.4% of wild rabbits collected between 2009 and 201435. Higher infection rates were reported in the same country, including 11.8% (100/848 animals) in hares collcted in the North Rhine-Westphalia region36 and 30% (55/179) in brown hares collected between 2010 and 2016 in Baden-Wuerttemberg37. In Hungary, the prevalence of tularemia in hares was evaluated at 4.9–5.3%38. In Portugal, prevalences of 4.3% and 6.3% were reported in brown hares and wild rabbits, respectively39. However, the comparison of the reported tularemia prevalences in leporids is irrelevant because studies involved different animal species and geographic areas, and used different methods for F. tularensis detection.Two possibilities could explain the lack of detection of tularemia in Algeria before this study. The first hypothesis is that this disease was not searched for in previous years, while it could have been present in this country for decades. The second hypothesis is that tularemia was recently imported in Algeria. Migratory birds may have been involved in the long-distance spread of F. tularensis40. These hosts can be infested by ectoparasites such as ticks which are the primary vectors of tularemia41,42. They can also spread the bacteria in the hydro-telluric environment through their secretions and feces18,43,44. An alternative possibility is that F. tularensis-infected animals (especially game animals) have been imported in Algeria from endemic countries. Whatever the mode of introduction of tularemia in Algeria, the dissemination of this disease over time might have been facilitated by the ability of F. tularensis to infect multiple hosts and its better survival in a cool environment45, which characterizes Northern Algeria climate. The emergence or re-emergence of tularemia in other countries has been related to climate change, human-mediated movement of infected animals, and wartime resulting in a significant rise of F. tularensis infections in the rodent populations39,46.In our study, infected animals were collected throughout 4 years, although more frequently in autumn. Probable and possible tularemia cases were mainly collected during the hunting season (i.e., September, October, November, and December). Animals could not be collected in February because of heavy rains and in May and June because it corresponds to female leporids’ lactation period. In most endemic countries, tularemia cases are typically more frequent in late spring, the summer months, and early autumn37,47,48,49,50. Occasionally, fatal tularemia cases in hares have been predominantly reported during the cold season11,51. The climatic conditions can affect tularemia outbreaks in animals, depending on the reservoir involved and the predominant modes of infection52.We detected tularemia more frequently in female than in male hares, and the reverse was true for wild rabbits. The prevalence of tularemia in male or female lagomorphs varies between studies. In Sweden, Morener et al.50 reported a tularemia case series only involving male hares. In the same country, Borg et al.50 observed an overrepresentation of females in the epizootic of 1967. They suggested that, compared to males, females had a higher risk of exposure to infected mosquitoes or were more vulnerable to tularemia because they were pregnant or had just given birth to a litter50. Tularemia was found in a few juveline leporids, which might be explained by a shorter exposure time to F. tularensis, a higher death rates due to higher susceptibility to F. tularensis infection or easier predation by their natural enemies, or more frequent hunting of adults compared to the juveniles53.Tularemia is usually more frequently detected in leporids found dead than in hunted animals. As an example, a German study reported a higher prevalence of tularemia in hares found dead (2.9%) than in hunted ones (0.7%)35. In our study, most qPCR-positive animals were hunted. Our study might not be representative of the prevalence of tularemia in either population because most collected animals had been hunted.The incubation period and clinical presentation of tularemia in leporids vary according to the species considered. Tularemia is typically an acute disease in mountain hares (Lepus timidus) in Scandinavia and has a chronic pattern in European brown hares (Lepus europaeus) in Central Europe50. The incubation time and clinical presentation of tularemia can be different in Cape hares (Lepus capensis). Wild rabbits are less sensitive to F. tularensis infection than hares31,39,54. An extended incubation period and chronic evolution of tularemia would facilitate the detection of F. tularensis in infected animals. In our study, a similar tularemia prevalence was found in the Cape hares and wild rabbits, which might reflect exposure to a same biotope area and environmental reservoirs of F. tularensis.The pathological lesions of tularemiia in leporids can vary according to the F. tularensis strain involved, the mode and route of infection, and the susceptibility and immune status of the host32,50. In the European brown hares, granulomas with central necrosis have been reported in the lungs and kidneys and occasionally in the liver, spleen, bone marrow, and lymph nodes50. In contrast, only acute necrosis in the liver, spleen, bone marrow, and lymph nodes have been found in Lepus timudus hares in Sweden50. The lesions in the Japanese hare (Lepus brachyurus angustidens) are comparable to those of Lepus timidus, except for cutaneous, lung, brain, and adrenal gland lesions32. In the European rabbit, Oryctolagus cuniculus, tularemia is not associated with identifiable macroscopic tissue lesions39,55. To our knowledge, no reports describing post-mortem lesions in Cape hares with tularemia are available. In this study, similar lesions were found in hares and wild rabbits except necrotic foci only observed in some wild rabbit organs (such as liver, lungs, kidney, ovary). Most animals had pathological lesions of pneumonia, gastritis and enteritis. Kidney lesions and adrenal glands enlargment were oberved. Necrotic lesions were occasionally found in the lungs, liver, spleen and ovary and hemorrhages in the lungs, liver, and intestines.Tularemia is an arthropod-born disease in most endemic areas14,22,28. In our study, 50% of positive leporids were infested by known tularemia vectors such as ticks (Ixodes ricinus56,57, Rhipicephalus sanguineus39), fleas (Spillopsylus cuniculi58), and lice of lagomorphs (Haemodipsus lepori and Haemodipsus setoni59,60). Ticks are the most significant arthropod vectors of tularemia61. Ticks are frequently involved in the transmission of tularemia in North America, including Dermacentor andersoni, D. variabilis, and Amblyomma americanum57,62,63. In Europe, tick-borne tularemia represents 13% to 26% of human cases57,64. The involved species include D. marginatus, D. reticulatus, I. ricinus, R. sanguineus, and Haemaphysalis concinna65,66. Further research on wild leporid sucking arthropods is needed to confirm the presence and clarify the ecology of F. tularensis in Algeria.Our study reports for the first time the detection of F. tularensis DNA in leporids from Northern Algeria. The markers most in favor of tularemia in the animals studied are the positivity of qPCR tests, in particular, the “type B” qPCR test which amplifies a specific DNA sequence of F. tularensis subsp. holarctica, and a positive immunohistological examination in one animal. Further investigation is needed to confirm our results by the isolation of this pathogen from animal samples and determine the F. tularensis subspecies and genotypes involved. This would allow the characterization of the F. tularensis subspecies and genotypes present in Algeria. Furthermore, our findings push us in future studies to seek tularemia in the Algerian human population. To achieve this, interdisciplinary or trans-disciplinary collaborative efforts underpinned by the One Health concept will be necessary. More

  • in

    Re-examining extreme carbon isotope fractionation in the coccolithophore Ochrosphaera neapolitana

    Laboratory cultureOchrosphaera neapolitana (RCC1357) was precultured in K/2 medium without Tris buffer8 using artificial seawater (ASW) supplemented with NaHCO3 and HCl to yield an initial DIC of 2050 µM. In triplicate, 1-L bottles were filled with 150 mL of seawater medium with air in the bottle headspace and inoculated with a mid-log phase preculture at an initial cell concentration of 104 cells mL−1. Cultures were grown at 18 °C under a warm white LED light at 100 ± 20 µE on a 16h-light/8h-dark cycle. Bottles were orbitally shaken at 60 rpm to keep cells in suspension. Cell growth was monitored with a Multisizer 4e particle counter and sizer (Beckman Coulter). At ~1.4 × 105 cells mL−1, cells were diluted up to 300 mL to 2–3 × 104 cells mL−1 and harvested after 2 days of more exponential growth up to 7.9 ± 0.6 × 104 cells mL−1. More detailed culture results are listed in the Supplementary Note 1.Immediately after harvesting, pH was measured using a pH probe calibrated with Mettler Toledo NBS standards (it should be noted here that high ionic strength calibration standards would be optimal for pH measurement of liquids like seawater). There was a carbonate system shift during the batch culture and more details are shown in Supplementary Fig. S1. Cells in 50 mL were pelleted by centrifuging at ~1650 × g for 5 min. Seawater supernatant was analyzed for DIC and δ13CDIC by injecting 3.5 mL into an Apollo analyzer and injecting 1 mL into He-flushed glass vials containing H3PO4 for the Gas Bench.For seawater DIC, an Apollo SciTech DIC-C13 Analyzer coupled to a Picarro CO2 analyzer was calibrated with in-house NaHCO3 standards dissolved in deionized water at different known concentrations and δ13C values from −4.66 to −7.94‰. δ13CDIC in media were measured with a Gas Bench II with an autosampler (CTC Analytics AG, Switzerland) coupled to ConFlow IV Interface and a Delta V Plus mass spectrometer (Thermo Fischer Scientific). Pelleted cells were snap-frozen with N2 (l) and stored at −80 °C. For PIC analysis, pellet was resuspended in 1 mL methanol and vortexed. After centrifugation, the methanol phase with extracted organics was removed and the pellet containing the coccoliths was dried at 60 °C overnight. About 300 mg of dried coccolith powder were placed in air-tight glass vials, flushed with He and reacted with five drops of phosphoric acid at 70 °C. PIC δ13C and δ18O were measured by the same Gas Bench system. The system and abovementioned in-house standards were calibrated using international standards NBS 18 (δ13C = −5.01‰, δ18O = +23.00‰) and NBS 19 (δ13C = +1.95‰, δ18O = +2.2‰). The analytical error for DIC concentration and δ13C is More

  • in

    Machine learning prediction of connectivity, biodiversity and resilience in the Coral Triangle

    Ravindran, S. Coral reefs at a tipping point. Proc. Natl Acad. Sci. 113, 5140–5141 (2016).CAS 

    Google Scholar 
    Lenton, T. M. et al. Climate tipping points—too risky to bet against. Nature 575, 592–595 (2019).CAS 

    Google Scholar 
    Veron, J. E. N. et al. Delineating the Coral Triangle. Galaxea J. Coral Reef. Stud. 11, 91–100 (2009).
    Google Scholar 
    Hoegh-Guldberg, O. et al. Coral Reefs Under Rapid Climate Change and Ocean Acidification. Science 318, 1737–1742 (2007).CAS 

    Google Scholar 
    Brown, C., Corcoran, E. & Herkenrath, P. Marine and coastal ecosystems and human well-being: a synthesis report based on the findings of the Millennium Ecosystem Assessment. (2006).Heinze, C. et al. The quiet crossing of ocean tipping points. Proc. Natl Acad. Sci. 118, e2008478118 (2021).CAS 

    Google Scholar 
    Barber, P. H. The challenge of understanding the Coral Triangle biodiversity hotspot. J. Biogeogr. 36, 1845–1846 (2009).
    Google Scholar 
    Ekman, S. Zoogeography of the Sea. (Sidgwick & Jackson, 1953).Ladd, H. S. Origin of the Pacific island molluscan fauna. Am. J. Sci. 256, 137–150 (1960).
    Google Scholar 
    Woodland, D. J. Zoogeography of the Siganidae (Pisces): an interpretation of distribution and richness patterns. Bull. Mar. Sci. 33, 713–717 (1983).
    Google Scholar 
    Loveland, T. R. & Merchant, J. M. Ecoregions and ecoregionalization: geographical and ecological perspectives. Environ. Manag. 34, S1–S13 (2004).
    Google Scholar 
    Levins, R. Some Demographic and Genetic Consequences of Environmental Heterogeneity for Biological Control. Bull. Entomol. Soc. Am. 15, 237–240 (1969).
    Google Scholar 
    Obura, D. The Diversity and Biogeography of Western Indian Ocean Reef-Building Corals. PLoS One. 7, e45013 (2012).CAS 

    Google Scholar 
    Fontoura, L. et al. Protecting connectivity promotes successful biodiversity and fisheries conservation. Science 375, 336–340 (2022).CAS 

    Google Scholar 
    Roberts, C. M. Connectivity and Management of Caribbean Coral Reefs. Science 278, 1454–1457 (1997).CAS 

    Google Scholar 
    Ayre, D. J. & Hughes, T. P. Climate change, genotypic diversity and gene flow in reef-building corals: Gene flow in reef building corals. Ecol. Lett. 7, 273–278 (2004).
    Google Scholar 
    Graham, N. A. et al. Dynamic fragility of oceanic coral reef ecosystems. Proc. Natl Acad. Sci. 103, 8425–8429 (2006).CAS 

    Google Scholar 
    McClanahan, T. R. et al. Prioritizing Key Resilience Indicators to Support Coral Reef Management in a Changing Climate. PLoS One. 7, e42884 (2012).CAS 

    Google Scholar 
    Gilmour, J. P., Smith, L. D., Heyward, A. J., Baird, A. H. & Pratchett, M. S. Recovery of an Isolated Coral Reef System Following Severe Disturbance. Science 340, 69–71 (2013).
    Google Scholar 
    Grayson, N., Clements, C. S., Towner, A. A., Beatty, D. S. & Hay, M. E. Did the historic overharvesting of sea cucumbers make coral more susceptible to pathogens? Coral Reefs. 41, 447–453 (2022).
    Google Scholar 
    Spalding, M. D. et al. Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas. BioScience 57, 573–583 (2007).
    Google Scholar 
    Berline, L., Rammou, A.-M., Doglioli, A., Molcard, A. & Petrenko, A. A Connectivity-Based Eco-Regionalization Method of the Mediterranean Sea. PLoS ONE. 9, e111978 (2014).
    Google Scholar 
    Ser-Giacomi, E., Rossi, V., López, C. & Hernández-García, E. Flow networks: A characterization of geophysical fluid transport. Chaos Interdiscip. J. Nonlinear Sci. 25, 036404 (2015).
    Google Scholar 
    Thompson, D. M. et al. Variability in oceanographic barriers to coral larval dispersal: Do currents shape biodiversity? Prog. Oceanogr. 165, 110–122 (2018).
    Google Scholar 
    Treml, E. A., Halpin, P. N., Urban, D. L. & Pratson, L. F. Modeling population connectivity by ocean currents, a graph-theoretic approach for marine conservation. Landsc. Ecol. 23, 19–36 (2008).
    Google Scholar 
    Liu, G., Bracco, A., Quattrini, A. M. & Herrera, S. Kilometer-Scale Larval Dispersal Processes Predict Metapopulation Connectivity Pathways for Paramuricea biscaya in the Northern Gulf of Mexico. Front. Mar. Sci. 8, 790927 (2021).
    Google Scholar 
    Fountalis, I., Dovrolis, C., Bracco, A., Dilkina, B. & Keilholz, S. δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains. Appl. Netw. Sci. 3, 21 (2018).
    Google Scholar 
    Falasca, F., Bracco, A., Nenes, A. & Fountalis, I. Dimensionality Reduction and Network Inference for Climate Data Using δ‐MAPS: Application to the CESM Large Ensemble Sea Surface Temperature. J. Adv. Model. Earth Syst. 11, 1479–1515 (2019).
    Google Scholar 
    Novi, L., Bracco, A. & Falasca, F. Uncovering marine connectivity through sea surface temperature. Sci. Rep. 11, 8839 (2021).CAS 

    Google Scholar 
    Kleypas, J. A., Castruccio, F. S., Curchitser, E. N. & Mcleod, F. The impact of ENSO on coral heat stress in the western equatorial Pacific. Glob. Change Biol. 21, 2525–2539 (2015).
    Google Scholar 
    GLOBAL_REANALYSIS_001_030. Global Ocean Physics Reanalysis GLORYS12V1 1/12° product. MERCATOR GLORYS12V1 (global-reanalysis-001-030-monthly). E.U. Copernicus Marine Service Information (CMEMS). https://doi.org/10.48670/moi-00021.Lellouche, J.-M. et al. The Copernicus Global 1/12° Oceanic and Sea Ice GLORYS12 Reanalysis. Front. Earth Sci. 9, 698876 (2021).
    Google Scholar 
    Treml, E. A. & Halpin, P. N. Marine population connectivity identifies ecological neighbors for conservation planning in the Coral Triangle: Ecological neighbors in conservation. Conserv. Lett. 5, 441–449 (2012).
    Google Scholar 
    Meyers, G. Variation of Indonesian throughflow and the El Niño-Southern Oscillation. J. Geophys. Res. Oceans 101, 12255–12263 (1996).
    Google Scholar 
    Wolfram Research (2012), FindGraphCommunities, Wolfram Language function. https://reference.wolfram.com/language/ref/FindGraphCommunities.html (updated 2015).MacArthur, R. H. & Wilson, E. O. The theory of island biogeography. In The Theory of Island Biogeography (Princeton university press, 2016).Brin, S. & Page, L. The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst. 30, 107–117 (1998).
    Google Scholar 
    Wolfram Research (2010), PageRankCentrality, Wolfram Language function. https://reference.wolfram.com/language/ref/PageRankCentrality.html (Updated 2015).NOAA Coral Reef Watch program, 20180813, NOAA Coral Reef Watch Version 3.1 Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite: NOAA Coral Reef Watch program, College Park, Maryland, USA. https://coralreefwatch.noaa.gov/product/5km/.Liu, G. et al. Reef-Scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch. Remote Sens. 6, 11579–11606 (2014).
    Google Scholar 
    Liu, G. et al. NOAA Coral Reef Watch’s 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3 and Four-Month Outlook Version 4. 32, 7 (2017).Claar, D. C., Szostek, L., McDevitt-Irwin, J. M., Schanze, J. J. & Baum, J. K. Global patterns and impacts of El Niño events on coral reefs: A meta-analysis. PLOS ONE 13, e0190957 (2018).
    Google Scholar 
    Sully, S., Burkepile, D. E., Donovan, M. K., Hodgson, G. & van Woesik, R. A global analysis of coral bleaching over the past two decades. Nat. Commun. 10, 1264 (2019).CAS 

    Google Scholar 
    Darling, E. S. et al. Social–environmental drivers inform strategic management of coral reefs in the Anthropocene. Nat. Ecol. Evol. 3, 1341–1350 (2019).
    Google Scholar 
    Dance, A. These corals could survive climate change—and help save the world’s reefs. Nature 575, 580–582 (2019).CAS 

    Google Scholar 
    Renema, W. et al. Hopping Hotspots: Global Shifts in Marine Biodiversity. Science 321, 654–657 (2008).CAS 

    Google Scholar 
    Weiss, T. L., Denniston, R. F., Wanamaker, A. D., Villarini, G. & von der Heydt, A. S. El Niño–Southern Oscillation–like variability in a late Miocene Caribbean coral. Geology 45, 643–646 (2017).
    Google Scholar 
    Watanabe, T. et al. Permanent El Niño during the Pliocene warm period not supported by coral evidence. Nature 471, 209–211 (2011).CAS 

    Google Scholar 
    Von Der Heydt, A. S. & Dijkstra, H. A. The impact of ocean gateways on ENSO variability in the Miocene. Geol. Soc. Lond. Spec. Publ. 355, 305–318 (2011).
    Google Scholar 
    Yasuhara, M. et al. Past and future decline of tropical pelagic biodiversity. Proc. Natl Acad. Sci. 117, 12891–12896 (2020).CAS 

    Google Scholar 
    Falasca, F., Crétat, J., Bracco, A., Braconnot, P. & Marti, O. Climate change in the Indo-Pacific basin from mid- to late Holocene. Clim. Dyn. 59, 753–766 (2022).
    Google Scholar 
    Treml, E. A., Ford, J. R., Black, K. P. & Swearer, S. E. Identifying the key biophysical drivers, connectivity outcomes, and metapopulation consequences of larval dispersal in the sea. Mov. Ecol. 3, 17 (2015).
    Google Scholar 
    Hackerott, S., Martell, H. A. & Eirin-Lopez, J. M. Coral environmental memory: causes, mechanisms, and consequences for future reefs. Trends Ecol. Evol. 36, 1011–1023 (2021).
    Google Scholar 
    Ogle, K. et al. Quantifying ecological memory in plant and ecosystem processes. Ecol. Lett. 18, 221–235 (2015).
    Google Scholar 
    Peterson, G. D. Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern. Ecosystems 5, 329–338 (2002).
    Google Scholar 
    Thomas, L., López, E. H., Morikawa, M. K. & Palumbi, S. R. Transcriptomic resilience, symbiont shuffling, and vulnerability to recurrent bleaching in reef‐building corals. Mol. Ecol. 28, 3371–3382 (2019).
    Google Scholar 
    Dziedzic, K. E., Elder, H., Tavalire, H. & Meyer, E. Heritable variation in bleaching responses and its functional genomic basis in reef‐building corals (Orbicella faveolata). Mol. Ecol. 28, 2238–2253 (2019).
    Google Scholar 
    Ainsworth, T. D. et al. Climate change disables coral bleaching protection on the Great Barrier Reef. Science 352, 338–342 (2016).CAS 

    Google Scholar 
    Harrison, H. B., Bode, M., Williamson, D. H., Berumen, M. L. & Jones, G. P. A connectivity portfolio effect stabilizes marine reserve performance. Proc. Natl Acad. Sci. 117, 25595–25600 (2020).CAS 

    Google Scholar 
    Leeuwenburgh, O. & Stammer, D. The Effect of Ocean Currents on Sea Surface Temperature Anomalies. J. Phys. Oceanogr. 31, 2340–2358 (2001).
    Google Scholar 
    Box, G. E., Jenkins, G. M. & Reinsel, G. C. Time series analysis: forecasting and control. (Wiley, 2011).Falasca, F. & Bracco, A. Exploring the tropical Pacific manifold in models and observations. Phys. Rev. X 12, 021054 (2022).CAS 

    Google Scholar 
    NOAA (National Oceanic and Atmospheric Administration), (2019a). Nino regions. https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/nino_regions.shtml.NOAA (National Oceanic and Atmospheric Administration), (2019b). Cold and warm episodes by season. https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php.Baird, A. et al. Coral Spawning Database. 10552719 Bytes https://doi.org/10.25405/DATA.NCL.13082333.V1 (2020).UNEP-WCMC, WorldFish Centre, WRI, TNC (2021). Global distribution of warm-water coral reefs, compiled from multiple sources including the Millennium Coral Reef Mapping Project. Version 4.1. Includes contributions from IMaRS-USF and IRD (2005), IMaRS-USF (2005) and Spalding et al. (2001). Cambridge (UK): UN Environment World Conservation Monitoring Centre. Data https://doi.org/10.34892/t2wk-5t34.IMaRS-USF, IRD (Institut de Recherche pour le Developpement) (2005). Millennium Coral Reef Mapping Project. Validated maps. Cambridge (UK): UNEP World Conservation Monitoring Centre.IMaRS-USF (Institute for Marine Remote Sensing-University of South Florida) (2005). Millennium Coral Reef Mapping Project. Unvalidated maps. These maps are unendorsed by IRD, but were further interpreted by UNEP World Conservation Monitoring Centre. Cambridge (UK): UNEP World Conservation Monitoring Centre.Spalding, M., Ravilious, C. & Green, E. World atlas of coral reefs. Choice Rev. Online. 39, 39-2540–39–2540 (2002).
    Google Scholar  More

  • in

    Varied response of carbon dioxide emissions to warming in oxic, anoxic and transitional soil layers in a drained peatland

    Yu, Z., Loisel, J., Brosseau, D. P., Beilman, D. W. & Hunt, S. J. Global peatland dynamics since the Last Glacial Maximum. Geophys. Res. Lett. 37, L13402 (2010).
    Google Scholar 
    Joosten, H., Tapio-BiströmM, L. & Susanna, T. Peatlands: guidance for climate change mitigation through conservation, rehabilitation and sustainable use. Food and Agriculture Organization of the United Nations and Wetlands International. FAO (2012).IUCN. Issues brief: peatlands and climate change. www.icun.org (2017).Joosten, H. Peatlands, Climate Change Mitigation and Biodiversity Conservation. An Issue Brief on the Importance of Peatlands for Carbon and Biodiversity Conservation and the Role of Drained Peatlands as Greenhouse Gas Emission Hotspots (Nordic Council of Ministers, 2015).Moore, T. R. & Knowles, R. The influence of water table levels on methane and carbon dioxide emissions from peatland soils. Can. J. Soil Sci. 69, 33–38 (1989).CAS 

    Google Scholar 
    Tfaily, M. M. et al. Organic matter transformation in the peat column at Marcell Experimental Forest: humification and vertical stratification. J. Geophys. Res. Biogeosci. 119, 661–675 (2014).CAS 

    Google Scholar 
    Clymo, R. S. & Bryant, C. L. Diffusion and mass flow of dissolved carbon dioxide, methane, and dissolved organic carbon in a 7-m deep raised peat bog. Geochim. Cosmochim. Acta 72, 2048–2066 (2008).CAS 

    Google Scholar 
    Clymo, R. S. The limits to peat bog growth. Philos. Trans. R. Soc. B 303, 605–654 (1984).
    Google Scholar 
    Qin, S. et al. Temperature sensitivity of SOM decomposition governed by aggregate protection and microbial communities. Sci. Adv. 5, eaau1218. 1211–1219 (2019).
    Google Scholar 
    Dorrepaal, E. et al. Carbon respiration from subsurface peat accelerated by climate warming in the subarctic. Nature 460, 616–619 (2009).CAS 

    Google Scholar 
    Luo, Z. K., Wang, G. C. & Wang, E. L. Global subsoil organic carbon turnover times dominantly controlled by soil properties rather than climate. Nat. Commun. 10, 3688 (2019).
    Google Scholar 
    Wilson, R. M. et al. Stability of peatland carbon to rising temperatures. Nat. Commun. 7, 13723 (2016).CAS 

    Google Scholar 
    Sihi, D., Inglett, P. W. & Inglett, K. S. Carbon quality and nutrient status drive the temperature sensitivity of organic matter decomposition in subtropical peat soils. Biogeochemistry 131, 103–119 (2016).CAS 

    Google Scholar 
    Wang, Q., Liu, S. & Tian, P. Carbon quality and soil microbial property control the latitudinal pattern in temperature sensitivity of soil microbial respiration across Chinese forest ecosystems. Glob. Chang. Biol. 24, 2841–2849 (2018).
    Google Scholar 
    Cheng, L. et al. Warming enhances old organic carbon decomposition through altering functional microbial communities. ISME J. 11, 1825–1835 (2017).
    Google Scholar 
    Luan, J., Wu, J., Liu, S., Roulet, N. & Wang, M. Soil nitrogen determines greenhouse gas emissions from northern peatlands under concurrent warming and vegetation shifting. Commun. Biol. 2, 132 (2019).
    Google Scholar 
    Meyer, N. et al. Nitrogen and phosphorus supply controls soil organic carbon mineralization in tropical topsoil and subsoil. Soil Biol. Biochem. 119, 152–161 (2018).CAS 

    Google Scholar 
    Fontaine, S. et al. Stability of organic carbon in deep soil layers controlled by fresh carbon supply. Nature 450, 277–280 (2007).CAS 

    Google Scholar 
    Moni, C. et al. Temperature response of soil organic matter mineralisation in arctic soil profiles. Soil Biol. Biochem. 88, 236–246 (2015).CAS 

    Google Scholar 
    Xu, X., Sherry, R. A., Niu, S., Zhou, J. & Luo, Y. Long-term experimental warming decreased labile soil organic carbon in a tallgrass prairie. Plant Soil 361, 307–315 (2012).CAS 

    Google Scholar 
    Broder, T., Blodau, C., Biester, H. & Knorr, K. H. Peat decomposition records in three pristine ombrotrophic bogs in southern Patagonia. Biogeosciences 9, 1479–1491 (2012).CAS 

    Google Scholar 
    Adamczyk, M., Perez-Mon, C., Gunz, S. & Frey, B. Strong shifts in microbial community structure are associated with increased litter input rather than temperature in High Arctic soils. Soil Biol. Biochem. 151, 108054 (2020).CAS 

    Google Scholar 
    Hug, L. A. et al. Community genomic analyses constrain the distribution of metabolic traits across the Chloroflexi phylum and indicate roles in sediment carbon cycling. Microbiome 1, 22 (2013).
    Google Scholar 
    Yun, J. L., Ju, Y. W., Deng, Y. C. & Zhang, H. X. Bacterial community structure in two permafrost wetlands on the Tibetan Plateau and Sanjiang Plain, China. Microb. Ecol. 68, 360–369 (2014).
    Google Scholar 
    Zhong, Q. et al. Water table drawdown shapes the depth-dependent variations in prokaryotic diversity and structure in Zoige peatlands. FEMS Microbiol. Ecol. https://doi.org/10.1093/femsec/fix049 (2017).Article 

    Google Scholar 
    Karhu, K. et al. Temperature sensitivity of soil respiration rates enhanced by microbial community response. Nature 513, 81–84 (2014).CAS 

    Google Scholar 
    Thiessen, S., Gleixner, G., Wutzler, T. & Reichstein, M. Both priming and temperature sensitivity of soil organic matter decomposition depend on microbial biomass – An incubation study. Soil Biol. Biochem. 57, 739–748 (2013).CAS 

    Google Scholar 
    Walker, T. W. N. et al. Microbial temperature sensitivity and biomass change explain soil carbon loss with warming. Nat. Clim. Chang. 8, 885–899 (2018).CAS 

    Google Scholar 
    Dungait, J. A. J., Hopkins, D. W., Gregory, A. S. & Whitmore, A. P. Soil organic matter turnover is governed by accessibility not recalcitrance. Glob. Chang. Biol. 18, 1781–1796 (2012).
    Google Scholar 
    Conant, R. T. et al. Temperature and soil organic matter decomposition rates – synthesis of current knowledge and a way forward. Global Chang. Biol. 17, 3392–3404 (2011).
    Google Scholar 
    Hietz, P. et al. Long-term change in the nitrogen cycle of tropical forests. Science 4, 334 (2011).
    Google Scholar 
    Manzoni, S., Taylor, P., Richter, A., Porporato, A. & Agren, G. I. Environmental and stoichiometric controls on microbial carbon-use efficiency in soils. New Phytol. 196, 79–91 (2012).CAS 

    Google Scholar 
    Sistla, S. A., Asao, S. & Schimel, J. P. Detecting microbial N-limitation in tussock tundra soil: Implications for Arctic soil organic carbon cycling. Soil Biol. Biochem. 55, 78–84 (2012).CAS 

    Google Scholar 
    Chen, L. et al. Nitrogen availability regulates topsoil carbon dynamics after permafrost thaw by altering microbial metabolic efficiency. Nat. Commun. 9, 3951 (2018).
    Google Scholar 
    Soong, J. L. et al. Five years of whole-soil warming led to loss of subsoil carbon stocks and increased CO2 efflux. Sci. Adv. 7, eabd1343 (2021).Chen, L. et al. Determinants of carbon release from the active layer and permafrost deposits on the Tibetan Plateau. Nat. Commun. 7, 13046 (2016).CAS 

    Google Scholar 
    Girkin, N. T. et al. Interactions between labile carbon, temperature and land use regulate carbon dioxide and methane production in tropical peat. Biogeochemistry 147, 87–97 (2019).
    Google Scholar 
    Swails, E. et al. Will CO2 emissions from drained tropical peatlands decline over time? Links between soil organic matter quality, nutrients, and C mineralization rates. Ecosystems 21, 868–885 (2017).
    Google Scholar 
    Ismawi, S., Gandaseca, S. & Ahmed, O. Effects of deforestation on soil major macro-nutrient and other selected chemical properties of secondary tropical peat swamp forest. Int. J. Phys. Sci. 7, 2225–2228 (2012).CAS 

    Google Scholar 
    Kimura, S., Melling, L. & Goh, K. Influence of soil aggregate size on greenhouse gas emission and uptake rate from tropical peat soil in forest and different oil palm development years. Geoderma 185, 1–5 (2012).
    Google Scholar 
    Takakai, F. et al. Effects of agricultural land-use change and forest fire on N2O emission from tropical peatlands, Central Kalimantan, Indonesia. Soil Sci. Plant Nutr. 52, 662–674 (2006).CAS 

    Google Scholar 
    Knoblauch, C., Beer, C., Sosnin, A., Wagner, D. & Pfeiffer, E. M. Predicting long-term carbon mineralization and trace gas production from thawing permafrost of Northeast Siberia. Glob. Chang. Biol. 19, 1160–1172 (2013).
    Google Scholar 
    Treat, C. C. et al. Temperature and peat type control CO2 and CH4 production in Alaskan permafrost peats. Glob. Chang. Biol. 20, 2674–2686 (2014).CAS 

    Google Scholar 
    Hobbie, S. E., Schimel, J. P., Trumbore, S. E. & Randerson, J. Controls over carbon storage and tureover in high-latitude soils. Glob. Chang. Biol. 6, 196–210 (2000).
    Google Scholar 
    Keller, J. K., Bauers, A. K., Bridgham, S. D., Kellogg, L. E. & Iversen, C. M. Nutrient control of microbial carbon cycling along an ombrotrophic-minerotrophic peatland gradient. J. Geophys. Res. https://doi.org/10.1029/2005jg000152 (2006).Chen, H. et al. A historical overview about basic issues and studies of mires (in Chinese). Sci. Sin. 51, 15–26 (2020).
    Google Scholar 
    Ridl, J. et al. Plants rather than mineral fertilization shape microbial community structure and functional potential in legacy contaminated soil. Front. Microbiol. 7, 1–10 (2016).
    Google Scholar 
    Kane, E. S. et al. Response of anaerobic carbon cycling to water table manipulation in an Alaskan rich fen. Soil Biol. Biochem. 58, 50–60 (2013).CAS 

    Google Scholar 
    Carrell, A. A. et al. Experimental warming alters the community composition, diversity, and N2 fixation activity of peat moss (Sphagnum fallax) microbiomes. Glob. Chang. Biol. 25, 2993–3004 (2019).
    Google Scholar 
    Lamit, L. J. et al. Patterns and drivers of fungal community depth stratification in Sphagnum peat. FEMS Microbiol. Ecol. 93, fix082 (2017).
    Google Scholar 
    Harrison, R. B., Footen, P. W. & Strahm, B. D. Deep soil horizons: contribution and importance to soil carbon pools and in assessing whole-ecosystem response to management and global change. Forest Sci. 57, 67–76 (2011).
    Google Scholar 
    Krüger, J. P., Leifeld, J., Glatzel, S., Szidat, S. & Alewell, C. Biogeochemical indicators of peatland degradation – a case study of a temperate bog in northern Germany. Biogeosciences 12, 2861–2871 (2015).
    Google Scholar 
    Franzén, L. G. Increased decomposition of subsurface peat in Swedish raised bogs: are temperate peatlands still net sinks of carbon? Mires Peat 1, 3 (2006).
    Google Scholar 
    Eilers, K. G., Lauber, C. L., Knight, R. & Fierer, N. Shifts in bacterial community structure associated with inputs of low molecular weight carbon compounds to soil. Soil Biol. Biochem. 42, 896–903 (2010).CAS 

    Google Scholar 
    de Graaff, M. A., Jastrow, J. D., Gillette, S., Johns, A. & Wullschleger, S. D. Differential priming of soil carbon driven by soil depth and root impacts on carbon availability. Soil Biol. Biochem. 69, 147–156 (2014).
    Google Scholar 
    Peay, K. G., Kennedy, P. G. & Brun, T. D. Fungal community ecology: a hybrid beast with a molecular master. BioScience 58, 799–810 (2008).
    Google Scholar 
    Gillabel, J., Cebrian, B., Six, J. & Merckx, R. Experimental evidence for the attenuating effect of SOM protection on temperature sensitivity of SOM decomposition. Glob. Chang. Biol. 16, 2789–2798 (2010).
    Google Scholar 
    Pries, C. E. H., Castanha, C., Porras, R. C. & Torn, M. S. The whole-soil carbon flux in response to warming. Science 355, 1420–1423 (2017).
    Google Scholar 
    Hicks Pries, C. E., Schuur, E. A. G. & Crummer, K. G. Thawing permafrost increases old soil and autotrophic respiration in tundra: partitioning ecosystem respiration using δ13C and ∆14C. Global Chang. Biol. 19, 649–661 (2013).
    Google Scholar 
    Tian, J. et al. Aerobic environments in combination with substrate additions to soil significantly reshape depth-dependent microbial distribution patterns in Zoige peatlands, China. Appl.Soil Ecol. 170, 104252 (2022).
    Google Scholar 
    Feng, W. et al. Enhanced decomposition of stable soil organic carbon and microbial catabolic potentials by long-term field warming. Glob. Chang. Biol. 00, 1–12 (2017).
    Google Scholar 
    Feng, W. et al. Methodological uncertainty in estimating carbon turnover times of soil fractions. Soil Biol. Biochem. 100, 118–124 (2016).CAS 

    Google Scholar 
    Liang, J. et al. Methods for estimating temperature sensitivity of soil organic matter based on incubation data: A comparative evaluation. Soil Biol. Biochem. 80, 127–135 (2015).CAS 

    Google Scholar 
    Cai, A., Feng, W., Zhang, W. & Xu, M. Climate, soil texture, and soil types affect the contributions of fine-fraction-stabilized carbon to total soil organic carbon in different land uses across China. J. Environ. Manag. 172, 2–9 (2016).CAS 

    Google Scholar 
    Liu, L. et al. Response of anaerobic mineralization of different depths peat carbon to warming on Zoige plateau. Geoderma 337, 1218–1226 (2019).CAS 

    Google Scholar 
    Waldrop, M. et al. Molecular investigations into a globally important carbon pool: permafrost protected carbon in Alaskan soils. Glob. Chang. Biol. 16, 2543–2554 (2014).
    Google Scholar 
    Mooshammer, M., Wanek, W., Zechmeister-Boltenstern, S. & Richter, A. Stoichiometric imbalances between terrestrial decomposer communities and their resources: mechanisms and implications of microbial adaptations to their resources. Front. Microbiol. 5, 22 (2014).
    Google Scholar 
    Blagodatskaya, E. & Kuzyakov, Y. Mechanisms of real and apparent priming effects and their dependence on soil microbial biomass and community structure: critical review. Biol. Fertil. Soils 45, 115–131 (2008).
    Google Scholar 
    Chen, H. et al. The carbon stock of alpine peatlands on the Qinghai–Tibetan Plateau during the Holocene and their future fate. Quat. Sci. Rev. 95, 151–158 (2014).
    Google Scholar 
    Sun, G. A study on the mineral formation law, classifictation and reserves of the peat in the Rouergai Plateau. J. Nat. Res. 7, 334–345 (1992).
    Google Scholar 
    Liu, L. et al. Responses of peat carbon at different depths to simulated warming and oxidizing. Sci. Total Environ. 548-549, 429–440 (2016).CAS 

    Google Scholar 
    Liu, L. et al. Water table drawdown reshapes soil physicochemical characteristics in Zoige peatlands. Catena 170, 119–128 (2018).CAS 

    Google Scholar 
    Liu, L. et al. Carbon stock stability in drained peatland after simulated plant carbon addition: Strong dependence on deeper soil. Sci. Total Environ. 848, 157539 (2022).CAS 

    Google Scholar 
    Yang, Z. et al. Soil properties and species composition under different grazing intensity in an alpine meadow on the eastern Tibetan Plateau, China. Environ. Monit. Assess 188, 678 (2016).
    Google Scholar 
    Simpson, M. J. & Simpson, A. J. The chemical ecology of soil organic matter molecular constituents. J. Chem. Ecol. 38, 768–784 (2012).CAS 

    Google Scholar 
    Lalonde, K., Mucci, A., Ouellet, A. & Gelinas, Y. Preservation of organic matter in sediments promoted by iron. Nature 483, 198–200 (2012).CAS 

    Google Scholar 
    Deforest, J. L., zak, D. R., Pregitzer, K. S. & Burtonf, A. J. Atomspheric nitrate deposition and enhanced dissolved organic carbon leaching: test of a potential mechanism. Soil Sci. Soc. Am. J. 69, 1233–1237 (2005).CAS 

    Google Scholar 
    Schadel, C. et al. Circumpolar assessment of permafrost C quality and its vulnerability over time using long-term incubation data. Glob. Chang. Biol. 20, 641–652 (2014).
    Google Scholar 
    Bell, M. & Lawrence, D. Soil carbon sequestration – myths and mysteries. Department of Primary Industries and Fisheries, Queensland Government (2009).Schadel, C., Luo, Y., David Evans, R., Fei, S. & Schaeffer, S. M. Separating soil CO2 efflux into C-pool-specific decay rates via inverse analysis of soil incubation data. Oecologia 171, 721–732 (2013).
    Google Scholar 
    Caporaso, J. G. et al. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proc. Natl Acad. Sci. USA 108, 4516–4522 (2011).CAS 

    Google Scholar 
    Gardes, M. & Bruns, T. D. ITS primers with enhanced specificity for basidiomycetes – application to the identification of mycorrhizae and rusts. Mol. Ecol. 2, 113–118 (1993).CAS 

    Google Scholar 
    White, T. J. in PCR-Protocols: A Guide to Methods and Applications (Academic Press, 1990).Bell, C. et al. High-throughput fluorometric measurement of potential soil extracellular enzyme activities. J. Vis. Exp. 81, e50961 (2013).
    Google Scholar 
    DeForest, J. L. The influence of time, storage temperature, and substrate age on potential soil enzyme activity in acidic forest soils using MUB-linked substrates and L-DOPA. Soil Biol. Biochem. 41, 1180–1186 (2009).CAS 

    Google Scholar 
    Amundson, R. The carbon budget in soils. Annu. Rev. Earth Planet. Sci. 29, 535–562 (2001).CAS 

    Google Scholar 
    Trumbore, S. E. Potential responses of soil organic carbon to global environmental change. Proc. Natl Acad. Sci. USA 94, 8284–8291 (1997).CAS 

    Google Scholar 
    R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org (2017).Oksanen, J. et al. vegan: community ecology package. R Packag version 24-1 (2016).Asshauer, K. P., Wemheuer, B., Daniel, R. & Meinicke, P. Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data. Bioinformatics 31, 2882–2884 (2015).CAS 

    Google Scholar  More

  • in

    Potential hazard characteristics of trees with hollows, cavities and fruiting bodies growing along pedestrian routes

    Wood, E. M. & Esaian, S. The importance of street trees to urban avifauna. Ecol. Appl. 30(7), e02149 (2020).Article 

    Google Scholar 
    Li, Z. & Ma, J. Discussing street tree planning based on pedestrian volume using machine learning and computer vision. Build. Environ. 219, 109178 (2022).Article 

    Google Scholar 
    Tan, X. & Shibata, S. Factors influencing street tree health in constrained planting spaces: Evidence from Kyoto City, Japan. Urban For. Urban Green. 67, 127416 (2022).Article 

    Google Scholar 
    Plant, L. & Sipe, N. Adapting and applying evidence gathering techniques for planning and investment in street trees: A case study from Brisbane. Australia. Urban For. Urban Green. 19, 79–87 (2016).Article 

    Google Scholar 
    Dümpelmann, S. Urban trees in times of crisis: Palliatives, mitigators, and resources. One Earth 2, 402–404 (2020).Article 
    ADS 

    Google Scholar 
    Liu, J. & Slik, F. Are street trees friendly to biodiversity?. Landsc. Urban Plan. 218, 104304 (2022).Article 

    Google Scholar 
    Suchocka, M. et al. Old trees are perceived as a valuable element of the municipal forest landscape. PeerJ 10, 12700 (2022).Article 

    Google Scholar 
    Marselle, M. R. et al. Urban Street tree biodiversity and antidepressant prescriptions. Sci. Rep. 10, 22445 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Radu, S. The ecological role of deadwood in natural forests. In Nature Conservation. Environmental Science and Engineering (eds Gafta, D. & Akeroyd, J.) (Springer, 2006).
    Google Scholar 
    Piovesan, G. & Biondi, F. On tree longevity. New Phytol. 231, 1318–1337 (2021).Article 

    Google Scholar 
    Ferenc, M., Sedláček, O. & Fuchs, R. How to improve urban greenspace for woodland birds: Site and local-scale determinants of bird species richness. Urban Ecosyst. 17, 625–640 (2014).Article 

    Google Scholar 
    Birch, J. D., Lutz, J. A., Turner, B. L. & Karst, J. Divergent, age-associated fungal communities of Pinus flexilis and Pinus longaeva. For. Ecol. Manage. 494, 119277 (2021).Article 

    Google Scholar 
    Siitonen, J., Ranius, T. The importance of veteran trees for saproxylic insects. In Europe’s Changing Woods and Forests: From Wildwood to Managed Landscapes (2015).Polyakov, A. Y., Weller, T. J. & Tietje, W. D. Remnant trees increase bat activity and facilitate the use of vineyards by edge-space bats. Agr. Ecosyst. Environ. 281, 56–63 (2019).Article 

    Google Scholar 
    Hall, S. J. G. & Bunce, R. G. H. Mature trees as keystone structures in Holarctic ecosystems – a quantitative species comparison in a northern English park. Plant Ecol. Divers. 4, 243–250 (2011).Article 

    Google Scholar 
    Suchocka, M. et al. Transit versus Nature. Depreciation of environmental values of the road alleys. Case study: Gamerki-Jonkowo, Poland. Sustain. 11(6), 1816 (2019).Article 

    Google Scholar 
    What Are Ancient & Veteran Trees. Ancient Tree Forum | Championing the Biological, Cultural And Heritage Value Of The UK’s Ancient Trees. URL https://www.ancienttreeforum.org.uk/ancient-trees/what-are-ancient-veteran-trees/ (2022).Fay, N. Environmental arboriculture, tree ecology and veteran tree management. Arbor. J. 26, 213–236 (2002).Article 

    Google Scholar 
    Dujesiefken, D., Fay, N., De Groot, J. W. & De Berker, N. Trees—a lifespan approach. Contributions to arboriculture from European practitioners (eds. Witkoś-Gnach, K., Tyszko-Chmielowiec, P.) (Fundacja EkoRozwoju, 2016).Roman, L. How many trees are enough? Tree death and the urban canopy. Scenar. J. 04, 8 (2014).
    Google Scholar 
    Roman, L. A. & Scatena, F. N. Street tree survival rates: Meta-analysis of previous studies and application to a field survey in Philadelphia, PA, USA. Urban For. Urban Green. 10(4), 269–274 (2011).Article 

    Google Scholar 
    Czaja, M., Kołton, A. & Muras, P. The complex issue of urban trees—stress factor accumulation and ecological service possibilities. Forests 11, 932 (2020).Article 

    Google Scholar 
    Olchowik, J., Suchocka, M., Jankowski, P., Malewski, T. & Hilszczańska, D. The ectomycorrhizal community of urban linden trees in Gdańsk, Poland. PlosOne. 16(4), e0237551 (2021).Article 
    CAS 

    Google Scholar 
    Nilsson, K., Konijnendijk, C. C. & Nielsen, A. B. Urban forest function, design and management. In Encyclopedia of Sustainability Science and Technology (ed. Meyers, R. A.) https://doi.org/10.1007/978-1-4419-0851-3_218 (Springer, New York, NY, 2013).Chapter 

    Google Scholar 
    Pokorny, J.D. Urban tree risk management, a Community Guide to Program Design and Implementation. USDA Forest Service Northeastern Area State and Private Forestry (2003).James, K. R., Haritos, N. & Ades, P. K. Mechanical stability of trees under dynamic loads. Am. J. Bot. 93(10), 1361–1369 (2006).Article 

    Google Scholar 
    Hickman, G. W., Perry, E. & Evans, R. Validation of a tree failure evaluation system. J. Arboric. 21(5), 233–234 (1995).
    Google Scholar 
    Klein, R., Koeser, A., Hauer, R., Hansen, G. & Escobedo, F. Risk assessment and risk perception of trees: A review of literature relating to arboriculture and urban forestry. Arboric. Urban For. 45(1), 26–38 (2019).
    Google Scholar 
    Smiley, E. T. Root pruning and stability of young willow oak. Arboric. Urban For. 34(2), 123–128 (2008).Article 

    Google Scholar 
    Terho, M. & Hallaksela, A.-M. Decay characteristics of hazardous Tilia, Betula, and Acer trees felled by municipal urban tree managers in the Helsinki city area. Forestry 81(2), 151–159. https://doi.org/10.1093/forestry/cpn002 (2008).Article 

    Google Scholar 
    Terho, M. An assessment of decay among urban Tilia, Betula, and Acer trees felled as hazardous. Urban For. Urban Green. 8, 77–85 (2009).Article 

    Google Scholar 
    Koeser, A. K., Klein, R. W., Hasing, G. & Northrop, R. J. Factors driving professional and public urban tree risk perception. Urban For. Urban Green. 14(4), 968–974 (2015).Article 

    Google Scholar 
    Johnson, G. R. Storms over Minnesota. Minn. Shade Tree Advocate 2(1), 1–12 (1999).ADS 

    Google Scholar 
    Zhang, Y., Hussain, A., Deng, J. & Letson, L. Public attitudes toward urban trees and supporting urban tree programs. Environ. Behav. 39(6), 797–814 (2007).Article 

    Google Scholar 
    Suchocka, M., Swoczyna, T., Kosno-Jończy, J. & Kalaji, H. M. Impact of heavy pruning on development and photosynthesis of Tilia cordata Mill Trees. PLoS ONE 16(8), e0256465. https://doi.org/10.1371/journal.pone.0256465 (2021).Article 
    CAS 

    Google Scholar 
    Gilman, E. F. & Knox, G. Pruning type affects ecay and structure of crape myrtle. J. Arboric. 31, 38–47 (2005).
    Google Scholar 
    Gilman, E. F. & Lilly, S. J. Best Management Practices: Tree Pruning (International Society of Arboriculture, 2008).
    Google Scholar 
    Perrette, G., Delagrange, S., Ramirez, J. A. & Messier, C. Optimisingreduction pruning under electrical lines: The influence of tree vitality before pruning on traumatic responses. Urban For. Urban Green. 63, 127139 (2021).Article 

    Google Scholar 
    von Döhren, P. & Haase, D. Risk assessment concerning urban ecosystem disservices: The example of street trees in Berlin. Germany. Ecosyst. Serv. 40, 101031 (2019).Article 

    Google Scholar 
    Papandrea, S. F., Cataldo, M. F., Zimbalatti, G. & Proto, A. R. Comparative evaluation of inspection techniques for decay detection in urban trees. Environ. Sci. Proc. 3, 14 (2021).
    Google Scholar 
    McPherson, G. & Peper, P. P. Costs of street tree damage to infrastructure. Arbor. J. 20, 143–160 (1996).Article 

    Google Scholar 
    Mullaney, J., Lucke, T. & Trueman, S. J. A review of benefits and challenges in growing street trees in paved urban environments. Landsc. Urban Plan. 134, 157–166 (2015).Article 

    Google Scholar 
    Vogt, J., Hauer, R. J. & Fischer, B. C. The costs of maintaining and not maintaining the urban forest: A review of the urban forestry and arboriculture literature. Arboric. Urban For. 41(6), 293–323 (2015).
    Google Scholar 
    Mattheck, C. & Breloer, H. Field guide for visual tree assessment (VTA). Arboric. J. 18(1), 1–23 (1994).Article 

    Google Scholar 
    Smiley E.T., Matheny N., & Lilly S. Best management practices: Tree risk assessment. In International Society of Arboriculture, 86 (Champaign, Illinois, 2011).Dunster J.A., Smiley E.T., Matheny N., Lilly S. Tree risk assessment manual. International Society of Arboriculture 194 (Champaign, Illinois, 2013).Li, H., Zhang, X., Li, Z., Wen, J. & Tan, X. A review of research on tree risk assessment methods. Forests 13, 1556 (2022).Article 

    Google Scholar 
    Koeser, A. K., Hauer, R. J., Klein, R. W. & Miesbauer, J. W. Assessment of likelihood of failure using limited visual, basic, and advanced assessment techniques. Urban For. 24, 71–79 (2017).
    Google Scholar 
    TRAQ [URL TRAQandOtherTreeRiskAssessmentMethodsforEvaluationandPrioritizingTreeRiskConditions(forestmetrix.com) (2021).TRAQ Tree Risk Assessment Qualification Application Guide https://www.isa-arbor.com/Portals/0/Assets/PDF/Certification-Applications/TRAQ-App-Guide.pdf (2021).Matheny N. P., Clark J. R. A photographic guide to the evaluation of hazard trees in urban areas. In International Society of Arboriculture 85 (Champaign, 1994).Linhares, C. S. F., Gonçalves, R., Martins, L. M. & Knapic, S. Structural stability of urban trees using visual and instrumental techniques: A review. Forests 12, 1752. https://doi.org/10.3390/f12121752 (2021).Article 

    Google Scholar 
    Ellison, M. Quantified tree risk assessment: Nota De procedimiento V5.2.3 (ES)2018-01 Quantified Tree Risk Assessment Limited (2018).Forbes-Laird, J. THREATS – tree hazard risk evaluation and treatment system – Guidance note for users Retrieved March 27th, 2020 from Forbes-Laird Arboricultural Consultancy http://www.flac.uk.com/wp-content/uploads/2010/07/THREATS-GN-June-2010.pdf, (2010).Guyon C. Cleaver M. Jackson A. Saavedra P. Zambino A. Guide to Identifying, Assessing, and Managing Hazard Trees in Developed Recreational Sites of the Northern Rocky Mountains and the Intermountain West Retrieved March 31st, 2020 from USDA Forest Service, Northern and Intermountain Regions (2017). https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/fseprd571021.pdfBlodgett, J. T., Burns, K. S., Worrall J. J.Guide to hazard tree management Retrieved March 31st, 2020 from USDA Forest Service, Rocky Mountain Region (2017) https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/fseprd572690.pdf (2017).Norris M. A review of methods used to undertake risk assessments of urban trees. MSc. Thesis (2007).Smiley, E. T., Matheny, N., Lilly, S. Best management practices: Tree risk assessment. International Society of Arboriculture 86 (Champaign, Illinois, 2011).ALARP – Hart, A, 2013, ALARP – Recent Developments, ALARP: Learning from the Experiences of Others, London: IMechE, 4th June 2013 (2013).HSE, 2001 Reducing risks, protecting people, HSE’s decision making process, Liverpool: Health and Safety Executive. (2001).Rinn, F. Holzanatomische Grundlagen mechanischer impuls – Tomographie an Baumen [Wood anatomy background through mechanical pulses – tomografy of trees]. Allg. Forstwirtsch. 8, 450–456 (2003).
    Google Scholar 
    Gilbert, E. A. & Smiley, E. T. Picus sonic tomography for the quantification of decay in white oak (Quercus alba) and hickory (Carya spp.). J. Arboric 30, 277–281 (2004).
    Google Scholar 
    Wang, X. & Allison, R. B. Decay detection in red oak trees using a combination of visual inspection, acoustic testing, and resistance microdrilling. Arboric. Urban For. 34(1), 1–4 (2008).Article 

    Google Scholar 
    Wu, Y. & Shao, Z. Measurement and mechanical analysis of the strains–stresses induced by tree-pulling experiments in tree stems. Trees 30, 675–684 (2016).Article 

    Google Scholar 
    Schindler, D. & Kolbe, S. Assessment of the response of a scots pine tree to effective wind loading. Forests 11(2), 145 (2020).Article 

    Google Scholar 
    Koeser, A. K. & Smiley, E. T. Impact of assessor on tree risk assessment ratings and prescribed mitigation measures. Urban For. 24, 109–115 (2017).
    Google Scholar 
    Klein, R. W. et al. Assessing the consequences of tree failure. Urban Forestry & Urban Greening 65, 127307 (2021).Article 

    Google Scholar 
    Renn, O. Perception of risks. Toxicol. Lett. 149(1), 405–413 (2004).Article 
    CAS 

    Google Scholar 
    Hasan, R., Othman, N. & Ismail, F. Roadside tree management in urban area for public safety and properties. Asian J. Quality Life 3, 10–21834 (2018).Article 

    Google Scholar 
    Williams, V. How do You Decide When to Remove a Tree? (University Of Maryland extension, 2018).Rhoades, H. Filling holes in tree trunks: how to patch a hole in a tree trunk or a hollow tree. https://www.gardeningknowhow.com/ornamental/trees/tgen/patching-tree-hole.htm (2020).Terho, M. & Hallaksela, A. M. Potential hazard characteristics of Tilia, Betula, and Acer trees removed in the Helsinki City Area during 2001–2003. Urban For. Urban Green. 3, 113–120 (2005).Article 

    Google Scholar 
    Nagendra, H. & Gopal, D. Tree diversity, distribution, history and change in urban parks: Studies in Bangalore India. Urban Ecosyst. 14, 211–223 (2011).Article 

    Google Scholar 
    Lindenmayer, D. B., Blanchard, W., Blair, D. & McBurney, L. The road to oblivion – Quantifying pathways in the decline of large old trees. For. Ecol. Manage. 430, 259–264 (2018).Article 

    Google Scholar 
    Lusk, A. C., da Silva Filho, D. F. & Dobbert, L. Pedestrian and cyclist preferences for tree locations by sidewalks and cycle tracks and associated benefits: Worldwide implications from a study in Boston, MA. Cities 106, 102111 (2020).Article 

    Google Scholar 
    Galenieks, A. Importance of urban street tree policies: A comparison of neighboring southern California Cities. Urban For. Urban Green. 22, 105–110 (2017).Article 

    Google Scholar 
    Wessolly, L. Material and structural features of trees Contribution to the Stargardt strength catalogue. In Proceedings of the 15th Bad Goteborg Tree Seminar (1992).Schwarze, F. Diagnosis and prognosis of the development of wood decay in urban trees. Agrios GN 1997 Plant Patology. (Academic Press, San Diego, 2008).Footway. Cycling Embassy Of Great Britain [https://www.cycling-embassy.org.uk/dictionary/footway] (2022).Roloff, A. Handbuch Baumdiagnostik Baum-Korpersprache und Baum-Beurtailung (Ulmer Verlag, 2015).
    Google Scholar 
    Koeser, A. K., Hasing, G., McLean, D., Northrop R. Tree risk assessment methods: A comparison of three common evaluation forms Retrieved March 24th, 2020 from https://edis.ifas.ufl.edu/ep487 (2016).Smiley, E. T. & Kumamoto, H. Qualitative Tree Risk Assessment. 12–18 (2012).Mattheck, C. Trees: The Mechanical Design (Springer, 1991).Book 

    Google Scholar 
    R Core Team (2020) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/ (2020).Olchowik, J. et al. The ectomycorrhizal community of crimean linden trees in Warsaw, Poland. Forests 11(9), 926 (2020).Article 

    Google Scholar 
    Dupre, S., Thiebaut, B. & Tessier du Cros, E. Morphologie architecture des jeunes hfitres (Fagus sylvatica L.). Influence du milieu variability genetique. Ann. Sci. For. 43, 85–102 (1986).Article 

    Google Scholar 
    Power, S. A., Ashmore, M. R. & Ling, K. A. Recent trends in beech tree health in southern Britain and the influence of soil type. Water Air Soil Pollut. 85, 1293–1298 (1995).Article 
    ADS 
    CAS 

    Google Scholar 
    Masarovičova, E. & Štefančik, L. Some ecophysiological features in sun and shade leaves of tall beech trees. Biol. Plant 32, 374–387 (1990).Article 

    Google Scholar 
    Nicolini, E. & Caraglio, Y. L’influence de divers caracteres architecturaux sur l’apparition de la fourche chez le Fagus sylvatica, en fonction de l’absence ou de la presence d’un couvert. Botany 72, 1723–1734 (1994).
    Google Scholar 
    van Wassenaer, P. V. & Richardson, M. A review of tree risk assessment using minimally invasive technologies and two case studies. Arboric. J. 32, 275–292 (2009).Article 

    Google Scholar 
    dos Reis, M. N., Gonçalves, R., Brazolin, S. & de Assis Palma, S. S. Strength loss inference due to decay or cavities in tree trunks using tomographic imaging data applied to equations proposed in the literature. Forests 13, 596 (2022).Article 

    Google Scholar 
    Kanea, B., Warrena, P. S. & Lermanab, S. B. A broad scale analysis of tree risk, mitigation and potential habitat for cavity-nesting birds. Urban For. 14, 1137–1146 (2015).
    Google Scholar 
    Wolf, K. L. Roadside urban trees—balancing safety and community values. Arborist News 15, 25–27 (2006).
    Google Scholar 
    Hightshoe, G. L. Native Trees, Shrubs and Vines for Urban and Rural America (Wiley and Sons, 1988).
    Google Scholar 
    Costello, L. R. & Jones, K. S. Western chapter of the international society of arboriculture. In Reducing Infrastructure Damage by The Tree Roots: A Compendium of Strategies. 64–65 (2003).Kjaer, E. D. Introduction part 2. Consequences of ash dieback: Damage level, resistance and resilience of European Ash Forests. Balt. For. 23, 141–143 (2017).
    Google Scholar 
    Timmermann, V., Nagy, N., Hietala, A., Børja, I. & Solheim, H. Progression of ash dieback in Norway related to tree age, disease history and regional aspects. Balt. For. 23, 150–158 (2017).
    Google Scholar 
    Zajączkowska, U., Kaczmarczyk, K. & Liana, J. Birch sap exudation: influence of tree position in a forest stand on birch sap production, trunk wood anatomy and radial bending strength. Silva Fennica 53(2), 10048. https://doi.org/10.14214/sf.10048 (2019).Article 

    Google Scholar 
    Reed, H. J. Veteran Trees: A Guide to Good Management (England Nature, 2000).
    Google Scholar  More

  • in

    Larvicidal and repellent potential of Ageratum houstonianum against Culex pipiens

    El-Naggar, H. A. & Hasaballah, A. I. Acute larvicidal toxicity and repellency effect of Octopus cyanea crude extracts against the filariasis vector, Culex pipiens. J. Egypt. Soc. Parasitol. 48(3), 721–728 (2018).Article 

    Google Scholar 
    Koenraadt, C. J. M., Möhlmann, T. W. R., Verhulst, N. O., Spitzen, J. & Vogels, C. B. F. Effect of overwintering on survival and vector competence of the West Nile virus vector Culex pipiens. Parasit. Vectors 12, 147. https://doi.org/10.1186/s13071-019-3400-4 (2019).Article 

    Google Scholar 
    Vloet, R. P. M. et al. Transmission of Rift Valley fever virus from European-breed lambs to Culex pipiens mosquitoes. PLoS Negl. Trop. Dis. 11, e0006145. https://doi.org/10.1371/journal.pntd.0006145 (2017).Article 
    CAS 

    Google Scholar 
    Dyab, A. K., Galal, L. A., Mahmoud, A. E. & Mokhtar, Y. Finding Walachia in filarial larvae and culicidae mosquitoes in upper Egypt governorate. Korean J. Parasitol. 54, 265–272 (2016).Article 
    CAS 

    Google Scholar 
    Clements, A. N. & Harbach, R. E. Controversies over the scientific name of the principal mosquito vector of yellow fever virus—Expediency versus validity. J. Vector Ecol. 43, 1–14. https://doi.org/10.1111/jvec.12277 (2018).Article 

    Google Scholar 
    Nchoutpouen, E. et al. Culex species diversity, susceptibility to insecticides and role as potential vector of Lymphatic filariasis in the city of Yaoundé, Cameroon. PLoS Negl. Trop. Dis. 13(4), 7229. https://doi.org/10.1371/journal.pntd.0007229 (2019).Article 

    Google Scholar 
    Shah, R. M. et al. Toxicity of 25 synthetic insecticides to the field population of Culex quinquefasciatus Say. Parasitol. Res. 115(11), 4345–4351 (2016).Article 

    Google Scholar 
    Senthil-Nathan, S. A review of resistance mechanisms of synthetic insecticides and botanicals, phytochemicals, and essential oils as alternative larvicidal agents against mosquitoes. Front. Physiol. 10, 1591. https://doi.org/10.3389/fphys.2019.01591 (2020).Article 

    Google Scholar 
    Pavela, R. et al. Traditional herbal remedies and dietary spices from Cameroon as novel sources of larvicides against filariasis mosquitoes? Parasitol. Res. 115(12), 4617–4626 (2016).Article 

    Google Scholar 
    Samuel, T. et al. In vitro antimicrobial activity of Ageratum houstonianum Mill. (Asteraceae). Food Sci. 35, 2897–2900 (2011).
    Google Scholar 
    Boussaada, O. et al. Insecticidal activity of some Asteraceae plant extracts against Tribolium confusum. Bull. Insectol. 61(2), 8435 (2008).
    Google Scholar 
    Samuel, T., Ravindran, J., Eapen, A. & William, J. Repellent activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Asian Pac. J. Trop. Dis. 2(6), 478–480 (2012).Article 

    Google Scholar 
    Samuel, T., Ravindran, K. J., Eapen, A. & William, S. J. Effect of Ageratum houstonianum Mill. (Asteraceae) leaf extracts on the oviposition activity of Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Parasitol. Res. 111, 2295–2299 (2012).Article 

    Google Scholar 
    Tennyson, S. et al. In vitro antioxidant activity of Ageratum houstonianum Mill. (Asteraceae). Asian Pac. J. Trop. Dis. 2, S712–S714 (2012).Article 

    Google Scholar 
    Sharma, P. D. & Sharma, O. P. Natural products chemistry, and biological properties of the Ageratum plant. Toxicol. Environ. Chem. 50, 213–232 (1995).Article 
    CAS 

    Google Scholar 
    Bodner, C. C. & Gereau, R. E. A contribution of Bontoc ethnobotany. Econ. Bot. 42(3), 307–369 (1988).Article 

    Google Scholar 
    Wiedenfeld, H. & Andrade-Cetto, A. Pyrrolizidine alkaloids from Ageratum houstononiaum Mill.. Phytochemistry 57(8), 1269–1271 (2001).Article 
    CAS 

    Google Scholar 
    Siebertz, R., Proksch, P., Wray, V. & Witte, L. A benzofuran from Ageratum houstononiaum Mill.. Phytochemistry 27(12), 3996–3997 (1988).Article 
    CAS 

    Google Scholar 
    Quijano, L., Calderon, J. S., Garibay, E., Escobar, E. & Rios, T. Further polysubstituted flavones from Ageratum houstononiaum Mill.. Phytochemistry 26(7), 2075–2978 (1987).Article 
    CAS 

    Google Scholar 
    Kundu, A. & Vadassery, J. Chlorogenic acid-mediated chemical defence of plants against insect herbivores. Plant Biol. (Stuttg.) 21(2), 185–189. https://doi.org/10.1111/plb.12947 (2019).Article 
    CAS 

    Google Scholar 
    War, A. R. et al. Effect of plant secondary metabolites on legume pod borer Helicoverpa armigera. J. Pest Sci. 86, 399–408 (2013).Article 

    Google Scholar 
    Cipollini, D., Stevenson, R., Enright, S., Eyles, A. & Bonello, P. Phenolic metabolites in leaves of the invasive shrub, Lonicera maackii, and their potential phytotoxic and anti-herbivore effects. J. Chem. Ecol. 34, 144–152. https://doi.org/10.1007/s10886-008-9426-2 (2008).Article 
    CAS 

    Google Scholar 
    Regnault-Roger, C. et al. Polyphenolic compounds of Mediterranean Lamiaceae and investigation of orientational effects on Acanthoscelides obtectus (Say). J. Stored Prod. Res. 40, 395–408 (2004).Article 
    CAS 

    Google Scholar 
    Khan, S. et al. Bioactivity-guided isolation of rosmarinic acid as the principle bioactive compound from the butanol extract of Isodon rugosus against the pea aphid, Acyrthosiphon pisum. PLoS ONE 14(6), e0215048. https://doi.org/10.1371/journal.pone.0215048 (2019).Article 
    CAS 

    Google Scholar 
    War, A., Sharma, S. P. & Sharma, H. C. Differential induction of flavonoids in groundnut in response to Helicoverpa armigera and Aphis craccivora infestation. Int. J. Insect Sci. 8, 55–64. https://doi.org/10.4137/IJIS.S39619 (2016).Article 

    Google Scholar 
    Al Jabr, A. M., Hussain, A., Rizwan-ul-Haq, M. & Al-Ayedh, H. Toxicity of plant secondary metabolites modulating detoxification genes expression for natural red palm weevil pesticide development. Molecules 22, 169. https://doi.org/10.3390/molecules22010169 (2017).Article 
    CAS 

    Google Scholar 
    Moreira, M. D. et al. Plant compounds insecticide activity against coleoptera pests of stored products. Pesqui. Agropecu. Bras. 42(7), 909–915 (2007).Article 

    Google Scholar 
    Ahuchaogu, A. A. et al. GC-MS analysis of bioactive compounds from whole plant chloroform extract of Ageratum conyzoides. Int. J. Med. Plants Nat. Prod. 4(2), 13–24. https://doi.org/10.20431/2454-7999.0402003 (2018).Article 

    Google Scholar 
    Zhao, P.-L., Li, J. & Yang, G.-F. Synthesis, and insecticidal activity of chromanone and chromone analogues of diacylhydrazines. Bioorg. Med. Chem. 15, 1888–1895 (2007).Article 
    CAS 

    Google Scholar 
    Hussein, M. A. et al. Synthesis, molecular docking and insecticidal activity evaluation of chromones of date palm pits extract against Culex pipiens (Diptera: Culicidae). Int. J. Mosq. Res. 5(4), 22–32 (2018).
    Google Scholar 
    Li, F. et al. Synthesis and pharmacological evaluation of novel chromone derivatives as balanced multifunctional agents against Alzheimer’s disease. Bioorg. Med. Chem. 25(14), 3815–3826. https://doi.org/10.1016/j.bmc.2017.05.027 (2017).Article 
    CAS 

    Google Scholar 
    Feldlaufer, M. F. & Eberle, M. W. Insecticidal effect of precocene II on the human body louse, Pediculus humanus. Trans. R. Soc. Trop. Med. Hyg. 74(3), 398–399. https://doi.org/10.1016/0035-9203(80)90110-8 (1980).Article 
    CAS 

    Google Scholar 
    Lu, X. N., Liu, X. C., Liu, Q. Z. & Liu, Z. L. Isolation of insecticidal constituents from the essential oil of Ageratum houstonianum Mill. against Liposcelis bostrychophila Badonnel. J. Chem. 2014, 6. https://doi.org/10.1155/2014/645687 (2014).Article 
    CAS 

    Google Scholar 
    Pratt, G. & Bowers, W. Precocene II inhibits juvenile hormone biosynthesis by cockroach Corpora allata in vitro. Nature 265, 548–550. https://doi.org/10.1038/265548a0 (1977).Article 
    ADS 
    CAS 

    Google Scholar 
    Kumar, K. G. A. et al. Chemo-profiling and bioassay of phytoextracts from Ageratum conyzoides for acaricidal properties against Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) infesting cattle and buffaloes in India. Ticks Tick-Borne Dis. 7(2), 342–349 (2016).Article 

    Google Scholar 
    Fahmi, A. G., Nassar, M., Mansour, E. & Salama, R. Toxicological and biochemical effects of precocene II against cotton leafworm, Spodoptera littoralis (boisd.). Egypt. J. Agric. Res. 97(1), 179–186. https://doi.org/10.21608/ejar.2019.68627 (2019).Article 

    Google Scholar 
    Benelli, G., Pavela, R., Drenaggi, E., Desneux, N. & Maggi, F. Phytol, (E)-nerolidol and spathulenol from Stevia rebaudiana leaf essential oil as effective and eco-friendly botanical insecticides against Metopolophium dirhodum. Ind. Crops Prod. 155, 112844. https://doi.org/10.1016/j.indcrop.2020.112844 (2020).Article 
    CAS 

    Google Scholar 
    Tennyson, S., Ravindran, K. J., Eapen, A. & William, S. J. Ovicidal activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae. Asian Pac. J. Trop. Dis. 5, 199–203 (2015).Article 

    Google Scholar 
    Tennyson, S., Ravindran, K. J., Eapen, A. & William, S. J. Effect of Ageratum houstonianum Mill. (Asteraceae) leaf extracts on the oviposition activity of Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Parasitol. Res. 111, 2295–2299. https://doi.org/10.1007/s00436-012-3083-7 (2012).Article 

    Google Scholar 
    Després, L., David, J. P. & Gallet, C. The evolutionary ecology of insect resistance to plant chemicals. Trends Ecol. Evol. 22(6), 298–307 (2007).Article 

    Google Scholar 
    Navarro-Roldán, M. A., Bosch, D., Gemeno, C. & Siegwart, M. Enzymatic detoxification strategies for neurotoxic insecticides in adults of three tortricid pests. Bull. Entomol. Res. https://doi.org/10.1017/S0007485319000415 (2020).Article 

    Google Scholar 
    Abdel Haleem, D. R., Gad, A. A. & Farag, S. M. Larvicidal, biochemical and physiological effects of acetamiprid and thiamethoxam against Culex pipiens L. (Diptera: Culicidae). Egypt. J. Aquat. Biol. Fish. 24(3), 271–283. https://doi.org/10.21608/ejabf.2020.91119 (2020).Article 

    Google Scholar 
    Li, X., Schuler, M. A. & Berenbaum, M. R. Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics. Annu. Rev. Entomol. 52, 231–253 (2007).Article 

    Google Scholar 
    Montella, I. R., Schama, R. & Valle, D. The classification of esterases: An important gene family involved in insecticide resistance—A review. Mem. Inst. Oswaldo Cruz. 107(4), 437–449 (2012).Article 
    CAS 

    Google Scholar 
    Vasantha-Srinivasan, P. et al. Comparative analysis of mosquito (Diptera: Culicidae: Aedes aegypti Liston) responses to the insecticide Temephos and plant derived essential oil derived from Piper betle L.. Ecotoxicol. Environ. Saf. 139, 439–446. https://doi.org/10.1016/j.ecoenv.2017.01.026 (2017).Article 
    CAS 

    Google Scholar 
    Ramasamy, V. et al. Chemical characterization of billy goat weed extracts Ageratum conyzoides (Asteraceae) and their mosquitocidal activity against three blood-sucking pests and their non-toxicity against aquatic predators. Environ. Sci. Pollut. Res. 28(22), 28456–28469. https://doi.org/10.1007/s11356-021-12362-6 (2021).Article 

    Google Scholar 
    Shoukat, R. F. et al. Larvicidal, ovicidal, synergistic, and repellent activities of Sophora alopecuroides and its dominant constituents against Aedes albopictus. Insects 11, 246. https://doi.org/10.3390/insects11040246 (2020).Article 

    Google Scholar 
    Boily, M., Sarrasin, B., Deblois, C., Aras, P. & Chagnon, M. Acetylcholinesterase in honey bees (Apis mellifera) exposed to neonicotinoids, atrazine and glyphosate: Laboratory and field experiments. Environ. Sci. Pollut. Res. Int. 20(8), 5603–5614. https://doi.org/10.1007/s11356-013-1568-2 (2013).Article 
    CAS 

    Google Scholar 
    Rajashekar, Y., Raghavendra, A. & Bakthavatsalam, N. Acetylcholinesterase inhibition by biofumigant (Coumaran) from leaves of lantana camara in stored grain and household insect pests. Biomed. Res. Int. 2014, 1–6. https://doi.org/10.1155/2014/187019 (2014).Article 
    CAS 

    Google Scholar 
    Yuan, Y., Li, L., Zhao, J. & Chen, M. Effect of tannic acid on nutrition and activities of detoxification enzymes and acetylcholinesterase of the fall webworm (Lepidoptera: Arctiidae). J. Insect Sci. 20(1), 8 (2020).Article 

    Google Scholar 
    Koodalingam, A., Mullainadhan, P. & Arumugam, M. Effects of extract of soapnut Sapindus emarginatus on esterases and phosphatases of the vector mosquito, Aedes aegypti (Diptera: Culicidae). Acta Trop. 118(1), 27–36 (2011).Article 
    CAS 

    Google Scholar 
    Nathan, S. S. et al. Effect of azadirachtin on acetylcholinesterase (AChE) activity and histology of the brown plant hopper Nilaparvata lugens (Stål). Ecotoxicol. Environ. Saf. 70, 244–250 (2008).Article 
    CAS 

    Google Scholar 
    Abdel-Haleem, D. R., Genidy, N. A., Fahmy, A. R., Abu-El Azm, F. S. M. & Ismail, N. S. M. Comparative modeling, toxicological and biochemical studies of imidacloprid and thiamethoxam insecticides on the House Fly, Musca domestica L. (Diptera: Muscidae). Egypt. Acad. J. Biol. Sci. 11(1), 33–42. https://doi.org/10.21608/EAJB.2018.11977 (2018).Article 

    Google Scholar 
    Kliot, A., Kontsedalov, S., Ramsey, J. S., Jande, G. & Ghanim, M. Adaptation to nicotine in the facultative tobacco-feeding hemipteran Bemisia tabaci. Pest Manag. Sci 70, 1595–1603 (2014).Article 
    CAS 

    Google Scholar 
    Silva, T. R. F. B. et al. Effect of the flavonoid rutin on the biology of Spodoptera frugiperda (Lepidoptera: Noctuidae) Fitossanidade. Acta Sci. Agron. 38(2), 165–170. https://doi.org/10.4025/actasciagron.v38i2.27956 (2016).Article 

    Google Scholar 
    Petschenka, G., Wagschal, V., Von Tschirnhaus, M., Donath, A. & Dobler, S. Convergently evolved toxic secondary metabolites in plants drive the parallel molecular evolution of insect resistance. Am. Nat. 190, 29–43 (2017).Article 

    Google Scholar 
    Emam, M. et al. Phytochemical profiling of Lavandula coronopifolia Poir. aerial parts extract and its larvicidal, antibacterial, and antibiofilm activity against Pseudomonas aeruginosa. Molecules 26, 1710. https://doi.org/10.3390/molecules26061710 (2021).Article 
    CAS 

    Google Scholar 
    El Hadidy, D., El Sayed, A. M., El Tantawy, M. & El Alfy, T. Phytochemical analysis and biological activities of essential oils of the leaves and flowers of Ageratum houstonianum Mill. cultivated in Egypt. J. Essent. Oil-Bear. Plants 22(5), 1241–1251. https://doi.org/10.1080/0972060X.2019.1673831 (2019).Article 

    Google Scholar 
    Tennyson, S., Ravindran, J., Eapen, A. & William, J. Repellent activity of Ageratum houstonianum Mill. (Asteraceae) leaf extracts against Anopheles stephensi, Aedes aegypti and Culex quinquefasciatus (Diptera: Culicidae). Asian Pac. J. Trop. Dis. 2(6), 478–480 (2012).Article 

    Google Scholar 
    Pintong, A. et al. Insecticidal and histopathological effects of Ageratum conyzoides weed extracts against dengue vector, Aedes aegypti. Insects 11, 224 (2020).Article 

    Google Scholar 
    Parveen, S. et al. In vitro evaluation of ethanolic extracts of Ageratum conyzoides and Artemisia absinthium against cattle tick, Rhipicephalus microplus. Sci. World J. 2014, 858973 (2014).Article 
    CAS 

    Google Scholar 
    Ichihara, K. & Fukubayashi, Y. Preparation of fatty acid methyl esters for gas-liquid chromatography. J. Lipid Res. 51(3), 635–640 (2010).Article 
    CAS 

    Google Scholar 
    Mruthunjaya, K. & Hukkeri, V. I. In vitro antioxidant and free radical scavenging potential of Parkinsonia aculeata Linn.. Pharmacogn. Mag. 4(13), 42–52 (2008).
    Google Scholar 
    Atanassova, M., Georgieva, S. & Ivancheva, K. Total phenolic and total flavonoid contents, antioxidant capacity and biological contaminants in medicinal herbs. J. Chem. Technol. Metall. 46(1), 81–88 (2011).CAS 

    Google Scholar 
    Mizzi, L., Chatzitzika, C., Gatt, R. & Valdramidis, V. HPLC analysis of phenolic compounds and flavonoids with overlapping peaks. Food Technol. Biotechnol. 58(1), 12–19. https://doi.org/10.17113/ftb.58.01.20.6395 (2020).Article 
    CAS 

    Google Scholar 
    Kasap, M. & Demirhan, H. The effect of various larval foods on the rate of adult emergence and fecundity of mosquitoes. Turk. Parasitol. Dergisi 161, 87–97 (1992).
    Google Scholar 
    WHO. Guidelines for Laboratory & Field Testing of Mosquito Larvicides 1–4 (Bulletin of the World Health Organization, 2005).
    Google Scholar 
    El-Sheikh, T., Bosly, H. & Shalaby, N. Insecticidal and repellent activities of methanolic extract of Tribulus terrestris L. (Zygophyllaceae) against the malarial vector Anopheles arabiensis (Diptera: Culicidae). Egypt. Acad. J. Biol. Sci. 5(2), 13–22 (2012).
    Google Scholar 
    Abbott, W. A method of computing the effectiveness of an insecticide. J. Econ. Entomol. 18(2), 256–267 (1952).
    Google Scholar 
    Amin, T. R. Biochemical and Physiological Studies of Some Insect Growth Regulators on the Cotton Leafworm, Spodoptera littoralis (Boisd.). Ph.D. thesis, Faculty of Science, Cairo University (1998).Simpson, D. R., Bulland, D. L. & Linquist, D. A. A semimicrotechnique for estimation of cholinesterase activity in boll weevils. Ann. Entomol. Soc. Am. 57, 367–371 (1964).Article 
    CAS 

    Google Scholar 
    Amaral, M. C., Bonecker, A. C. T. & Ortiz, C. H. D. Activity determination of Na+ K+-ATPase and Mg++-ATPase enzymes in the gill of Poecilia vivpara (Osteichthyes, Cyprinodontiformes) in different salinities. Braz. Arch. Biol. Technol. 44, 1–6 (2001).Article 
    CAS 

    Google Scholar 
    Hansen, I. G. & Hodgson, E. Biochemical characteristics of insect microsomes, N-and o-demethylation. Biochem. Pharmacol. 20, 1569–1578 (1971).Article 
    CAS 

    Google Scholar 
    Finney, D. J. Probit Analysis 3rd edn. (Cambridge University Press, 1971).MATH 

    Google Scholar 
    Duncan, D. B. Multiple range, and multiple F tests. Biometrics 2, 1–42 (1955).Article 
    MathSciNet 

    Google Scholar  More