Microbes with higher metabolic independence are enriched in human gut microbiomes under stress.

Iva Veseli, Yiqun T Chen, Matthew S Schechter, Chiara Vanni, Emily C Fogarty, Andrea R Watson, Bana A Jabri, Ran Blekhman, Amy D Willis, Michael K Yu, Antonio Fernandez-Guerra, Jessika Fussel, A Murat Eren
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Abstract

A wide variety of human diseases are associated with loss of microbial diversity in the human gut, inspiring a great interest in the diagnostic or therapeutic potential of the microbiota. However, the ecological forces that drive diversity reduction in disease states remain unclear, rendering it difficult to ascertain the role of the microbiota in disease emergence or severity. One hypothesis to explain this phenomenon is that microbial diversity is diminished as disease states select for microbial populations that are more fit to survive environmental stress caused by inflammation or other host factors. Here, we tested this hypothesis on a large scale, by developing a software framework to quantify the enrichment of microbial metabolisms in complex metagenomes as a function of microbial diversity. We applied this framework to over 400 gut metagenomes from individuals who are healthy or diagnosed with inflammatory bowel disease (IBD). We found that high metabolic independence (HMI) is a distinguishing characteristic of microbial communities associated with individuals diagnosed with IBD. A classifier we trained using the normalized copy numbers of 33 HMI-associated metabolic modules not only distinguished states of health versus IBD, but also tracked the recovery of the gut microbiome following antibiotic treatment, suggesting that HMI is a hallmark of microbial communities in stressed gut environments.

Abstract Image

Abstract Image

Abstract Image

在压力下,具有较高代谢独立性的微生物在人类肠道微生物群中富集。
各种各样的人类疾病都与人类肠道微生物多样性的丧失有关,这激发了人们对微生物群诊断或治疗潜力的极大兴趣。然而,导致疾病状态多样性减少的生态力量尚不清楚,因此很难确定微生物群在疾病出现或严重程度中的作用。解释这一现象的一个假设是,随着疾病状态选择更适合在炎症或其他宿主因素引起的环境压力下生存的微生物种群,微生物多样性会减少。在这里,我们通过开发一个软件框架来量化复杂宏基因组中微生物代谢的富集程度,作为微生物多样性的函数,对这一假设进行了大规模测试。我们将这一框架应用于400多个健康或诊断为炎症性肠病(IBD)的肠道宏基因组。我们发现,高代谢独立性(HMI)是与诊断为IBD的个体相关的微生物群落的一个显著特征。我们使用33个HMI相关代谢模块的标准化拷贝数训练的分类器不仅区分了健康状态与IBD,还跟踪了抗生素治疗后肠道微生物组的恢复情况,这表明HMI是应激肠道环境中微生物群落的标志。
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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