Environment and diet shape the geography-specific Drosophila melanogaster microbiota composition.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Joseph T Gale, Rebecca Kreutz, Sarah J Gottfredson Morgan, Emma K Davis, Connor Hough, Wendy A Cisneros Cancino, Brittany Burnside, Ryan Barney, Reese Hunsaker, Ashton Tanner Hoyt, Aubrey Cluff, Maggie Nosker, Chandler Sefcik, Eliza Beales, Jack K Beltz, Paul B Frandsen, Paul Schmidt, John M Chaston
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Abstract

Geographic and environmental variation in the animal microbiota can be directly linked to the evolution and wild fitness of their hosts, but it can be difficult to explain the underlying patterns. Here, we sought to better understand wild variation in the microbiota composition of Drosophila melanogaster. First, environmental temperature predicted geographic variation in fly microbial communities more consistently than latitude did. The microbiota also differed between wild flies and their diets, supporting previous conclusions that the fly microbiota is not merely a reflection of diet. Flies feeding on different diets varied significantly in their microbiota composition, and flies sampled from individual apples were exceptionally depauperate for the lactic acid bacteria (LAB), a major bacterial group in wild and laboratory flies. However, flies bore significantly more LAB when sampled from other fruits or compost piles. Follow-up analyses revealed that LAB abundance in the flies uniquely responds to fruit decomposition, whereas other microbiota members better indicate temporal seasonal progression. Finally, we show that diet-dependent variation in the fly microbiota is associated with phenotypic differentiation of fly lines collected in a single orchard. These last findings link covariation between the flies' dietary history, microbiota composition, and genetic variation across relatively small (single-orchard) landscapes, reinforcing the critical role that environment-dependent variation in microbiota composition can play in local adaptation and genomic differentiation of a model animal host.IMPORTANCEThe microbial communities of animals influence their hosts' evolution and wild fitness, but it is hard to predict and explain how the microbiota varies in wild animals. Here, we describe that the microbiota composition of wild Drosophila melanogaster can be determined by temperature, humidity, geographic distance, diet decomposition, and diet type. We show how these determinants of microbiota variation can help explain lactic acid bacteria (LAB) abundance in the flies, including the rarity of LAB in some previous studies. Finally, we show that wild fly phenotypes segregate with the flies' diet and microbiota composition, illuminating links between the microbiota and host evolution. Together, these findings help explain how variation in microbiota compositions can shape an animal's life history.

环境和饮食塑造了地理特异性的黑腹果蝇微生物群组成。
动物微生物群的地理和环境变化可以直接与宿主的进化和野生适应性联系起来,但很难解释其潜在模式。在这里,我们试图更好地了解黑腹果蝇微生物群组成的野生变异。首先,环境温度比纬度更能预测苍蝇微生物群落的地理变化。野生苍蝇和它们的饮食之间的微生物群也不同,这支持了之前的结论,即苍蝇的微生物群不仅仅是饮食的反映。食用不同食物的果蝇的微生物群组成差异很大,从单个苹果中取样的果蝇对乳酸菌(LAB)的吸收异常不足,乳酸菌是野生和实验室果蝇的主要细菌群。然而,当从其他水果或堆肥堆中取样时,苍蝇携带的LAB明显更多。后续分析显示,果蝇的LAB丰度对果实分解有独特的反应,而其他微生物群成员则更好地指示了时间的季节性进展。最后,我们表明,果蝇微生物群的饮食依赖性变异与单个果园中收集的果蝇系的表型分化有关。这些最新发现将果蝇的饮食史、微生物群组成和遗传变异之间的共变联系在一起,强调了微生物群组成的环境依赖性变异在模式动物宿主的局部适应和基因组分化中所起的关键作用。动物的微生物群落影响其宿主的进化和野外适应性,但很难预测和解释野生动物的微生物群如何变化。在这里,我们描述了野生黑腹果蝇的微生物群组成可以由温度、湿度、地理距离、饮食分解和饮食类型决定。我们展示了这些微生物群变异的决定因素如何有助于解释苍蝇中乳酸菌(LAB)的丰度,包括之前一些研究中LAB的罕见性。最后,我们表明野生苍蝇的表型与苍蝇的饮食和微生物群组成分离,阐明了微生物群与宿主进化之间的联系。总之,这些发现有助于解释微生物群组成的变化如何影响动物的生活史。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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