散布决定了水生微生物群落的组成和功能多样性。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-11-18 DOI:10.1128/msystems.01403-24
Angel Rain-Franco, Alizée Le Moigne, Lucas Serra Moncadas, Marisa O D Silva, Adrian-Stefan Andrei, Jakob Pernthaler
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引用次数: 0

摘要

隔离和混合决定了水生微生物群落的结构和功能,但在实地研究中,很难将它们各自的作用区分开来。我们探讨了这样一个假设:在没有分散的情况下,随机组合的群落之间的功能差异和贝塔多样性会增加。与此相反,我们预计在同质化扩散过程中的生物选择会减少β和γ多样性以及功能变异性。我们通过实验研究了 20 个淡水细菌群落的组成和功能变化,这些群落在相同的条件下保持了 7 个生长周期,历时 34 天,并连续经历了两次扩散。最初的扩散限制产生了较高的β多样性,并导致重复出现由特定类群主导的群落类型。群落类型的组成稳定性和均匀性随连续生长周期而变化,反映了功能特性的差异。碳利用效率在培养过程中不断提高,一些具有独特组成的群落优于复制群落类型。均匀分散导致了高度的成分相似性和伽马多样性的降低。虽然中性模型和基于竞争(Elo-rating)的模型在很大程度上共同解释了群落的组成,但一种假单胞菌在各群落中不成比例地占主导地位,这可能是与相互作用相关的基因组特征造成的。总之,由分散限制随机产生的微生物群落可以通过随后的确定性过程逐渐 "完善 "为不同的群落类型。对于在群落凝聚过程中被排除在外的生产力高但竞争能力弱的微生物类群来说,群落分离是一种保险机制:我们通过实验评估了在相同的生长条件下,淡水细菌群落在两次连续的扩散相关事件(扩散限制和同质化扩散)中的组成和功能反应。虽然隔离导致局部多样性降低,但高贝塔多样性维持了区域多样性和功能变异性。与此相反,同质化扩散降低了元群落的物种库和功能变异性。我们的研究结果强调了分散在调节水生微生物元群落多样性和功能变异性方面的作用,从而为预测生态系统功能的变化提供了重要的启示。
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Dispersal shapes compositional and functional diversity in aquatic microbial communities.

Segregation and mixing shape the structure and functioning of aquatic microbial communities, but their respective roles are challenging to disentangle in field studies. We explored the hypothesis that functional differences and beta diversity among stochastically assembled communities would increase in the absence of dispersal. Contrariwise, we expected biotic selection during homogenizing dispersal to reduce beta and gamma diversity as well as functional variability. This was experimentally addressed by examining the compositional and functional changes of 20 freshwater bacterial assemblages maintained at identical conditions over seven growth cycles for 34 days and subjected to two consecutive dispersal regimes. Initial dispersal limitation generated high beta diversity and led to the repeated emergence of community types that were dominated by particular taxa. Compositional stability and evenness of the community types varied over successive growth cycles, reflecting differences in functional properties. Carbon use efficiency increased during cultivation, with some communities of unique composition outperforming the replicate community types. Homogenizing dispersal led to high compositional similarity and reduced gamma diversity. While a neutral and a competition-based (Elo-rating) model together largely explained community assembly, a pseudomonad disproportionally dominated across communities, possibly due to interaction-related genomic traits. In conclusion, microbial assemblages stochastically generated by dispersal limitation can be gradually "refined" into distinct community types by subsequent deterministic processes. Segregation of communities represented an insurance mechanism for highly productive but competitively weak microbial taxa that were excluded during community coalescence.

Importance: We experimentally assessed the compositional and functional responses of freshwater bacterial assemblages exposed to two consecutive dispersal-related events (dispersal limitation and homogenizing dispersal) under identical growth conditions. While segregation led to a decreased local diversity, high beta diversity sustained regional diversity and functional variability. In contrast, homogenizing dispersal reduced the species pool and functional variability of the metacommunity. Our findings highlight the role of dispersal in regulating both diversity and functional variability of aquatic microbial metacommunities, thereby providing crucial insight to predict changes in ecosystem functioning.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
期刊最新文献
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