Bäckhed, F. et al. The gut microbiota as an environmental factor that regulates fat storage. Proc. Natl. Acad. Sci. U.S.A. 101, 15718–15723 (2004).
Google Scholar
LeBlanc, J. G. et al. Bacteria as vitamin suppliers to their host: A gut microbiota perspective. Curr. Opin. Biotechnol. 24, 160–168 (2013).
Google Scholar
Huang, J. & Douglas, A. E. Consumption of dietary sugar by gut bacteria determines Drosophila lipid content. Biol. Lett. 11, 12–15 (2015).
Google Scholar
Storelli, G. et al. Lactobacillus plantarum promotes Drosophila systemic growth by modulating hormonal signals through TOR-dependent nutrient sensing. Cell Metab. 14, 403–414 (2011).
Google Scholar
Chandler, J. A., Lang, J., Bhatnagar, S., Eisen, J. A. & Kopp, A. Bacterial communities of diverse Drosophila species: Ecological context of a host-microbe model system. PLoS Genet. 7, e1002272 (2011).
Google Scholar
Bing, X., Gerlach, J., Loeb, G. & Buchon, N. Nutrient-dependent impact of microbes on Drosophila suzukii development. MBio 9, e02199 (2018).
Google Scholar
Wong, A. C. N., Chaston, J. M. & Douglas, A. E. The inconstant gut microbiota of Drosophila species revealed by 16S rRNA gene analysis. ISME J. 7, 1922–1932 (2013).
Google Scholar
Chandler, J. A., James, P. M., Jospin, G. & Lang, J. M. The bacterial communities of Drosophila suzukii collected from undamaged cherries. PeerJ 2, e474 (2014).
Google Scholar
Kapun, M. et al. Genomic analysis of European Drosophila malanogaster populations revels longitudinal structure, continent-wide selection, and previously unknown DNA viruses. Mol. Biol. Evol. 37, 2661 (2020).
Google Scholar
Morais, P. B., Martins, M. B., Klaczko, L. B., Mendonca-Hagler, L. C. & Hagler, A. N. Yeast succession in the Amazon fruit Parahancornia amapa as resource partitioning among Drosophila spp. Appl. Environ. Microbiol. 61, 4251–4257 (1995).
Google Scholar
Wolda, H. Season fluctuations in rainfall, food and abundance of tropical insects. J. Anim. Ecol. 47, 369–381 (1978).
Google Scholar
Simpson, S. J., Sibly, R. M., Lee, K. P., Behmer, S. T. & Raubenheimer, D. Optimal foraging when regulating intake of multiple nutrients. Anim. Behav. 68, 1299–1311 (2004).
Google Scholar
Lee, K. P. et al. Lifespan and reproduction in Drosophila: New insights from nutritional geometry. Proc. Natl. Acad. Sci. U.S.A. 105, 2498–2503 (2008).
Google Scholar
Lee, K. P., Kim, J. S. & Min, K. J. Sexual dimorphism in nutrient intake and life span is mediated by mating in Drosophila melanogaster. Anim. Behav. 86, 987–992 (2013).
Google Scholar
Wong, A. C. N., Dobson, A. J. & Douglas, A. E. Gut microbiota dictates the metabolic response of Drosophila to diet. J. Exp. Biol. 217, 1894–1901 (2014).
Google Scholar
Rodrigues, M. A. et al. Drosophila melanogaster larvae make nutritional choices that minimize developmental time. J. Insect Physiol. 81, 69–80 (2015).
Google Scholar
Davies, L. R., Schou, M. F., Kristensen, T. N. & Loeschcke, V. Linking developmental diet to adult foraging choice in Drosophila melanogaster. J. Exp. Biol. 221, 175554 (2018).
Google Scholar
Keebaugh, E. S., Yamada, R., Obadia, B., Ludington, W. B. & Ja, W. W. Microbial quantity impacts Drosophila nutrition, development, and lifespan. iScience 4, 247–259 (2018).
Google Scholar
Morimoto, J., Simpson, S. J. & Ponton, F. Direct and transgenerational effects of male and female gut microbiota in Drosophila melanogaster. Biol. Lett. 13, 20160966 (2017).
Google Scholar
Simpson, S. J. & Raubenheimer, D. The Nature of Nutrition: A Unifying Framework from Animal Adaptation to Human Obesity (Princeton University Press, 2012).
Google Scholar
Wong, A. C. N. et al. Gut microbiota modifies olfactory-guided microbial preferences and foraging decisions in Drosophila. Curr. Biol. 27, 2397–2404 (2017).
Google Scholar
Andersen, L. H., Kristensen, T. N., Loeschcke, V., Toft, S. & Mayntz, D. Protein and carbohydrate composition of larval food affects tolerance to thermal stress and desiccation in adult Drosophila melanogaster. J. Insect Physiol. 56, 336–340 (2010).
Google Scholar
Kutz, T. C., Sgrò, C. M. & Mirth, C. K. Interacting with change: Diet mediates how larvae respond to their thermal environment. Funct. Ecol. 33, 1940–1951 (2019).
Google Scholar
Sørensen, T. A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons. Biol. Writing 5, 1–34 (1948).
Broderick, N. & Lemaitre, B. Gut-associated microbes of Drosophila melanogaster. Gut Microbes 3, 307–321 (2012).
Google Scholar
De Ley, J. Comparative carbohydrate metabolism and a proposal for a phylogenetic relationship of the acetic acid bacteria. J. Gen. Microbiol. 24, 31–50 (1961).
Google Scholar
Ameyama, M. Gluconobacter oxydans subsp. sphaericus, new subspecies isolated from grapes. Int. J. Syst. Bacteriol. 25, 365–370 (1948).
Google Scholar
Deppenmeier, U., Hoffmeister, M. & Prust, C. Biochemistry and biotechnological applications of Gluconobacter strains. Appl. Microbiol. Biotechnol. 60, 233–242 (2002).
Google Scholar
Ryngajłło, M., Kubiak, K., Jędrzejczak-Krzepkowska, M., Jacek, P. & Bielecki, S. Comparative genomics of the Komagataeibacter strains—Efficient bionanocellulose producers. Microbiologyopen 8, 1–25 (2019).
Google Scholar
Gilbert, D. G. Dispersal of yeasts and bacteria by Drosophila in a temperate forest. Oecologia 46, 135–137 (1980).
Google Scholar
Blum, J. E., Fischer, C. N., Miles, J. & Handelsman, J. Frequent replenishment sustains the beneficial microbiome of Drosophila melanogaster. MBio 4, 1–8 (2013).
Google Scholar
Staubach, F., Baines, J. F., Künzel, S., Bik, E. M. & Petrov, D. A. Host species and environmental effects on bacterial communities associated with Drosophila in the laboratory and in the natural environment. PLoS ONE 8, e70749 (2013).
Google Scholar
Wong, A. C. N. et al. The host as the driver of the microbiota in the gut and external environment of Drosophila melanogaster. Appl. Environ. Microbiol. 81, 6232–6240 (2015).
Google Scholar
Pais, I. S., Valente, R. S., Sporniak, M. & Teixeira, L. Drosophila melanogaster establishes a species-specific mutualistic interaction with stable gut-colonizing bacteria. PLoS Biol. 16(7), e2005710 (2018).
Google Scholar
Buchon, N., Broderick, N. A. & Lemaitre, B. Gut homeostasis in a microbial world: Insights from Drosophila melanogaster. Nat. Rev. Microbiol. 11, 615–626 (2013).
Google Scholar
Wong, A. C. N., Ng, P. & Douglas, A. E. Low-diversity bacterial community in the gut of the fruitfly Drosophila melanogaster. Environ. Microbiol. 13, 1889–1900 (2011).
Google Scholar
Manteca, A. & Sanchez, J. Streptomyces development in colonies and soils. Appl. Environ. Microbiol. 75, 2920–2924 (2009).
Google Scholar
Lee, K. P., Raubenheimer, D., Behmer, S. T. & Simpson, S. J. A correlation between macronutrient balancing and insect host-plant range: Evidence from the specialist caterpillar Spodoptera exempta (Walker). J. Insect Physiol. 49, 1161–1171 (2003).
Google Scholar
Mevi-Schütz, J. & Erhardt, A. Larval nutrition affects female nectar amino acid preference in the map butterfly (Araschnia levana). Ecology 18, 2788–2794 (2003).
Google Scholar
Lee, K. P. The interactive effects of protein quality and macronutrient imbalance on nutrient balancing in an insect herbivore. J. Exp. Biol. 210, 3236–3244 (2007).
Google Scholar
Fanson, B. G., Weldon, C. W., Pérez-Staples, D., Simpson, S. J. & Taylor, P. W. Nutrients, not caloric restriction, extend lifespan in Queensland fruit flies (Bactrocera tryoni). Aging Cell 8, 514–523 (2009).
Google Scholar
Spor, A., Koren, O. & Ley, R. Unravelling the effects of the environment and host genotype on the gut microbiome. Nat. Rev. Microbiol. 9, 279–290 (2011).
Google Scholar
Hooper, L. V., Littman, D. R. & Macpherson, A. J. Interactions between the microbiota and the immune system. Science 336, 1268–1273 (2007).
Google Scholar
Faith, J. J., McNulty, N. P., Rey, F. E. & Gordon, J. I. Predicting a human gut microbiota’s response to diet in gnotobiotic mice. Science 333, 101–104 (2011).
Google Scholar
Ridley, E. V., Wong, A. C. N., Westmiller, S. & Douglas, A. E. Impact of the resident microbiota on the nutritional phenotype of Drosophila melanogaster. PLoS ONE 7, e36765 (2012).
Google Scholar
Nguyen, B. et al. Interactions between ecological factors in the developmental environment modulate pupal and adult traits in a polyphagous fly. Ecol. Evol. 9, 6342–6352 (2019).
Google Scholar
Drew, R. A. I., Courtice, A. C. & Teakle, D. S. Bacteria as a natural source of food for adult fruit flies (Diptera, Tephritidae). Oecologia 60, 279–284 (1983).
Google Scholar
Lesperance, D. N. A. & Broderick, N. Gut bacteria mediate nutrient availability in Drosophila diets. Appl. Environ. Microbiol. 59, 211 (2020).
Kristensen, T. N. et al. Fitness components of Drosophila melanogaster developed on a standard laboratory diet or a typical natural food source. Insect Sci. 23, 771–779 (2016).
Google Scholar
Harrison, A. P. & Pelczar, M. J. Damage and survival of bacteria during freeze-drying and during storage over a ten-year period. J. Gen. Microbiol. 30, 395–400 (1963).
Google Scholar
Rubin, B. E. R. et al. Investigating the impact of storage conditions on microbial community composition in soil samples. PLoS ONE 8, 1–9 (2013).
Sharon, G. et al. Commensal bacteria play a role in mating preference of Drosophila melanogaster. Proc. Natl. Acad. Sci. U.S.A. 107, 20051–20056 (2010).
Google Scholar
Xu, X., Feng, G., Liu, H. & Li, X. Control of spoilage microorganisms in Soybean milk by nipagin complex esters, nisin, sodium dehydroaceate and heat treatment. IPCBEE 67, 35 (2014).
Google Scholar
Leftwich, P. T., Clarke, N. V. E., Hutchings, M. I. & Chapman, T. Gut microbiomes and reproductive isolation in Drosophila. Proc. Natl. Acad. Sci. U.S.A. 114, 12767–12772 (2017).
Google Scholar
Leftwich, P. T., Clarke, N. V. E., Hutchings, M. I. & Chapman, T. Reply to Obadia et al.: Effect of methyl paraben on host–microbiota interactions in Drosophila melanogaster. Proc. Natl. Acad. Sci. U.S.A. 20, E4549–E4550 (2018).
Google Scholar
Ward, D. V. et al. Evaluation of 16s rDNA-based community profiling for human microbiome research. PLoS ONE 7, e39315 (2012).
Google Scholar
Caporaso, J. et al. Ultra-high-throughput microbial community analysis on Illumina HiSeq and MiSeq platforms. ISME J. 6, 1621–1624 (2012).
Google Scholar
Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).
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).
Google Scholar
Overgaard, J., Kristensen, T. N. & Sørensen, J. G. Validity of thermal ramping assays used to assess thermal tolerance in arthropods. PLoS ONE 7, 1–7 (2012).
Google Scholar
R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, 2021). Accessed February 2021. https://www.R-project.org/.
RStudio Team. RStudio: Integrated Development for R (RStudio, PBC, 2020).
McMurdie, P. J. & Holmes, S. Phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLoS ONE 8, e61217 (2013).
Google Scholar
Oksanen, J. et al. vegan: Community Ecology Package. R package 2.5-7 (2019). Accessed October 2019. https://CRAN.R-project.org/package=vegan.
Wickham, H. Ggplot2: Elegant Graphics for Data Analysis 2nd edn. (Springer, 2016).
Google Scholar
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