动物胃肠道微生物群的关键复杂网络结构。

IF 4.9 Q1 MICROBIOLOGY
Zhanshan Sam Ma, Peng Shi
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引用次数: 0

摘要

背景:从微生物到它们的宿主(植物、动物和人类),各种生物相互影响,它们之间的关系可以用复杂的网络模型来描述。本研究的重点是关键网络结构,特别是动物胃肠道微生物组(AGMs)网络中的核心/外围节点和骨干(高效应骨架路径)。核心/外围网络(CPN)反映了生态群落中几乎无处不在的嵌套性,特别是将网络划分为相互联系紧密的核心物种和仅与核心物种有稀疏联系的外围物种。与之互补的是,高体验骨架网络(HSN)反映了普遍存在的不对称物种相互作用(严格意义上的微生物物种相关性),特别是在 AGM 网络中形成了具有 "骨干 "和 "乡村道路"(常规或弱链接)的异质路径。核心和骨干可作为关键的功能结构,而外围节点和薄弱环节则可通过冗余稳定网络功能:在此,我们根据从 318 种动物(涵盖所有脊椎动物和四大无脊椎动物)收集的 4903 份胃肠道微生物组样本(包含 473 359 种微生物),为 AGMs 构建并分析了 36 对 CPN/HSN。网络分析是在宿主物种、纲、目、门、界和饮食类型的范围内,通过选定和比较类群对进行的。除了食性类型外,分析中还考虑了宿主系统发育的影响,用系统发育(进化)时间表或 "年龄 "来衡量。例如,研究发现,动物体内三个主要微生物门(类杆菌属/固缩菌属/蛋白细菌属)的进化趋势及其成对丰度比并不反映现代人类的系统发育模式,尽管它们在饮食类型方面是一致的:总体而言,AGMs 的关键网络结构在质量和结构上与人类肠道微生物组相似。尽管如此,人类肠道微生物组的关键组成(类杆菌、真菌和变形菌三个门)似乎打破了从动物到人类的进化趋势,这可能归因于人类纪,反映了农业和工业革命对人类肠道微生物组的深远影响。这些影响可能导致了现代人类与狩猎采集祖先和动物之间的偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical complex network structures in animal gastrointestinal tract microbiomes.

Background: Living things from microbes to their hosts (plants, animals and humans) interact with each other, and their relationships may be described with complex network models. The present study focuses on the critical network structures, specifically the core/periphery nodes and backbones (paths of high-salience skeletons) in animal gastrointestinal microbiomes (AGMs) networks. The core/periphery network (CPN) mirrors nearly ubiquitous nestedness in ecological communities, particularly dividing the network as densely interconnected core-species and periphery-species that only sparsely linked to the core. Complementarily, the high-salience skeleton network (HSN) mirrors the pervasive asymmetrical species interactions (strictly microbial species correlations), particularly forming heterogenous pathways in AGM networks with both "backbones" and "rural roads" (regular or weak links). While the cores and backbones can act as critical functional structures, the periphery nodes and weak links may stabilize network functionalities through redundancy.

Results: Here, we build and analyze 36 pairs of CPN/HSN for the AGMs based on 4903 gastrointestinal-microbiome samples containing 473,359 microbial species collected from 318 animal species covering all vertebrate and four major invertebrate classes. The network analyses were performed at host species, order, class, phylum, kingdom scales and diet types with selected and comparative taxon pairs. Besides diet types, the influence of host phylogeny, measured with phylogenetic (evolutionary) timeline or "age", were integrated into the analyses. For example, it was found that the evolutionary trends of three primary microbial phyla (Bacteroidetes/Firmicutes/Proteobacteria) and their pairwise abundance-ratios in animals do not mirror the patterns in modern humans phylogenetically, although they are consistent in terms of diet types.

Conclusions: Overall, the critical network structures of AGMs are qualitatively and structurally similar to those of the human gut microbiomes. Nevertheless, it appears that the critical composition (the three phyla of Bacteroidetes, Firmicutes, and Proteobacteria) in human gut microbiomes has broken the evolutionary trend from animals to humans, possibly attributable to the Anthropocene epoch and reflecting the far-reaching influences of agriculture and industrial revolution on the human gut microbiomes. The influences may have led to the deviations between modern humans and our hunter-gather ancestors and animals.

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