Bacterial community adaptation after brackish and freshwater coalescence.

IF 6.4 Q1 ECOLOGY
ISME communications Pub Date : 2026-07-10 eCollection Date: 2026-01-01 DOI:10.1093/ismeco/ycag198
Xiu Jia, Torsten Schubert, Rick Beeloo, Aristeidis Litos, Swapnil Doijad, Pim G van Helvoort, Theodor Sperlea, Matthias Labrenz, Bas E Dutilh
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Abstract

Microbial community coalescence, the merging of entire microbial communities, is common in estuaries, yet the ecological processes governing community assembly after coalescence remain unclear. To uncover these mechanisms, we conducted controlled microcosm experiments simulating coalescence between freshwater and brackish water bacterial communities across five mixing ratios and incubated them in either freshwater or brackish water. We tracked 40 mixed communities over six passages using Nanopore full-length 16S rRNA gene sequencing. Laboratory incubation reduced diversity and increased taxonomic overlap, but preserved habitat-associated compositional signatures. Coalescence outcomes were asymmetric and strongly shaped by the incubation water. In both environments, coalesced communities remained compositionally closer to the native than to the introduced community. However, the relative influence of environmental filtering differed between habitats. In freshwater, strong filtering drove communities to closely resemble the freshwater source, even when the freshwater inoculum was small. In brackish water, weaker filtering made coalescence outcomes more dependent on initial mixing ratios and propagule pressure. Neutral model analyses confirmed a greater contribution of stochastic processes in brackish water. Co-occurrence network analysis revealed predominantly positive associations within the same source community and fewer but negative associations across sources. These within-source associations may reinforce propagule pressure by facilitating the establishment of co-adapted species. Overall, our results demonstrate that environmental filtering primarily governs coalescence outcomes, modulated by source composition, stochasticity, and species co-adaptation, offering new insights into microbial assembly in dynamic estuarine systems.

咸淡水与淡水融合后的细菌群落适应。
微生物群落合并,即整个微生物群落的合并,在河口中很常见,但控制合并后群落聚集的生态过程尚不清楚。为了揭示这些机制,我们进行了控制的微观实验,模拟淡水和微咸水细菌群落在五种混合比例下的合并,并在淡水或微咸水中孵育。我们使用纳米孔全长16S rRNA基因测序在6个传代中追踪了40个混合群落。实验室孵育减少了多样性,增加了分类重叠,但保留了与栖息地相关的组成特征。聚合结果是不对称的,并且受到孵育水的强烈影响。在这两种环境中,合并后的群落在组成上更接近原生群落,而不是引入的群落。然而,环境过滤的相对影响在不同生境之间存在差异。在淡水中,即使在淡水接种量很小的情况下,强烈的过滤作用也使群落与淡水源非常相似。在微咸水中,较弱的过滤使聚结结果更依赖于初始混合比和传播体压力。中性模型分析证实了在微咸水中随机过程的更大贡献。共现网络分析显示,在同一源群落内,主要是正相关,而在不同源之间,负相关较少。这些源内关联可能通过促进共同适应物种的建立而增强繁殖体压力。总体而言,我们的研究结果表明,环境过滤主要控制聚合结果,受源组成,随机性和物种共同适应的调节,为动态河口系统中的微生物组装提供了新的见解。
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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