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长期纤维素富集选择出高度纤维素分解的生物群落,并竞争公共资源。

Long-Term Cellulose Enrichment Selects for Highly Cellulolytic Consortia and Competition for Public Goods.

机构信息

Department of Energy Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

mSystems. 2022 Apr 26;7(2):e0151921. doi: 10.1128/msystems.01519-21. Epub 2022 Mar 8.

Abstract

The complexity of microbial communities hinders our understanding of how microbial diversity and microbe-microbe interactions impact community functions. Here, using six independent communities originating from the refuse dumps of leaf-cutter ants and enriched using the plant polymer cellulose as the sole source of carbon, we examine how changes in bacterial diversity and interactions impact plant biomass decomposition. Over up to 60 serial transfers (∼8 months) using Whatman cellulose filter paper, cellulolytic ability increased and then stabilized in four enrichment lines and was variable in two lines. Bacterial community characterization using 16S rRNA gene amplicon sequencing showed community succession differed between the highly cellulolytic enrichment lines and those that had slower and more variable cellulose degradation rates. Metagenomic and metatranscriptomic analyses revealed that and/or dominated each enrichment line and produced the majority of cellulase enzymes, while diverse taxa were retained within these communities over the duration of transfers. Interestingly, the less cellulolytic communities had a higher diversity of organisms competing for the cellulose breakdown product cellobiose, suggesting that cheating slowed cellulose degradation. In addition, we found competitive exclusion as an important factor shaping all of the communities, with a negative correlation of and abundance within individual enrichment lines and the expression of genes associated with the production of secondary metabolites, toxins, and other antagonistic compounds. Our results provide insights into how microbial diversity and competition affect the stability and function of cellulose-degrading communities. Microbial communities are a key driver of the carbon cycle through the breakdown of complex polysaccharides in diverse environments including soil, marine systems, and the mammalian gut. However, due to the complexity of these communities, the species-species interactions that impact community structure and ultimately shape the rate of decomposition are difficult to define. Here, we performed serial enrichment on cellulose using communities inoculated from leaf-cutter ant refuse dumps, a cellulose-rich environment. By concurrently tracking cellulolytic ability and community composition and through metagenomic and metatranscriptomic sequencing, we analyzed the ecological dynamics of the enrichment lines. Our data suggest that antagonism is prevalent in these communities and that competition for soluble sugars may slow degradation and lead to community instability. Together, these results help reveal the relationships between competition and polysaccharide decomposition, with implications in diverse areas ranging from microbial community ecology to cellulosic biofuels production.

摘要

微生物群落的复杂性阻碍了我们理解微生物多样性和微生物相互作用如何影响群落功能。在这里,我们使用源自切叶蚁垃圾场的六个独立群落,并使用植物聚合物纤维素作为唯一碳源进行富集,研究了细菌多样性和相互作用的变化如何影响植物生物质分解。在使用 Whatman 纤维素滤纸进行多达 60 次连续传代(约 8 个月)的过程中,在四个富集系中,纤维素分解能力增加并随后稳定下来,而在两个系中则变化不定。使用 16S rRNA 基因扩增子测序对细菌群落特征进行分析表明,高度纤维素分解的富集系和那些纤维素降解率较慢且变化较大的系之间的群落演替存在差异。宏基因组和宏转录组分析表明,和/或在每个富集系中占主导地位,并产生了大多数纤维素酶,而在传代过程中,这些群落中保留了多样化的分类群。有趣的是,纤维素分解能力较低的群落中,争夺纤维素分解产物纤维二糖的生物多样性更高,这表明作弊会减缓纤维素的降解。此外,我们发现竞争排斥是塑造所有群落的一个重要因素,在单个富集系中,和的丰度呈负相关,与次生代谢物、毒素和其他拮抗化合物产生相关的基因表达也呈负相关。我们的研究结果提供了微生物多样性和竞争如何影响纤维素降解群落稳定性和功能的见解。微生物群落是通过在包括土壤、海洋系统和哺乳动物肠道在内的各种环境中分解复杂多糖来驱动碳循环的关键因素。然而,由于这些群落的复杂性,影响群落结构并最终影响分解速度的物种-物种相互作用难以定义。在这里,我们使用从切叶蚁垃圾场接种的群落对纤维素进行连续富集,这是一个富含纤维素的环境。通过同时跟踪纤维素分解能力和群落组成,并进行宏基因组和宏转录组测序,我们分析了富集系的生态动态。我们的数据表明,这些群落中普遍存在拮抗作用,对可溶性糖的竞争可能会减缓降解并导致群落不稳定。总的来说,这些结果有助于揭示竞争与多糖分解之间的关系,对从微生物群落生态学到纤维素生物燃料生产的各个领域都具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20c3/9040578/63eff7eaf73f/msystems.01519-21-f001.jpg

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