Ma Zhanshan Sam, Shi Peng
Computational Biology and Medical Ecology Lab, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
Anim Microbiome. 2024 May 3;6(1):23. doi: 10.1186/s42523-024-00291-x.
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.
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.
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.
从微生物到其宿主(植物、动物和人类)的生物相互作用,其关系可用复杂网络模型来描述。本研究聚焦于关键网络结构,特别是动物胃肠道微生物群(AGM)网络中的核心/外围节点和主干(高显著性骨架路径)。核心/外围网络(CPN)反映了生态群落中几乎普遍存在的嵌套性,特别是将网络划分为紧密相连的核心物种和仅与核心稀疏相连的外围物种。互补的是,高显著性骨架网络(HSN)反映了普遍存在的不对称物种相互作用(严格来说是微生物物种相关性),特别是在AGM网络中形成具有“主干”和“乡村道路”(规则或弱连接)的异质路径。虽然核心和主干可作为关键功能结构,但外围节点和弱连接可能通过冗余来稳定网络功能。
在此,我们基于从涵盖所有脊椎动物和四个主要无脊椎动物类别的318种动物物种收集的4903个胃肠道微生物群样本(包含473,359种微生物物种)构建并分析了36对AGM的CPN/HSN。网络分析在宿主物种、目、纲、门、界尺度以及饮食类型上进行,并使用选定的和比较的分类单元对。除饮食类型外,用系统发育(进化)时间线或“年龄”衡量的宿主系统发育的影响也被纳入分析。例如,发现动物中三个主要微生物门(拟杆菌门/厚壁菌门/变形菌门)及其两两丰度比的进化趋势在系统发育上与现代人类的模式并不相符,尽管在饮食类型方面是一致的。
总体而言,AGM的关键网络结构在质量和结构上与人类肠道微生物群的相似。然而,人类肠道微生物群中的关键组成部分(拟杆菌门、厚壁菌门和变形菌门这三个门)似乎打破了从动物到人类的进化趋势,这可能归因于人类世,反映了农业和工业革命对人类肠道微生物群的深远影响。这些影响可能导致了现代人类与我们的狩猎采集祖先以及动物之间的偏差。