Suppr超能文献

一项荟萃分析揭示了用于诊断虾病发病的普遍肠道细菌特征。

A meta-analysis reveals universal gut bacterial signatures for diagnosing the incidence of shrimp disease.

机构信息

School of Marine Sciences, Ningbo University, Ningbo, 315211, China.

Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo University, Ningbo, 315211, China.

出版信息

FEMS Microbiol Ecol. 2018 Oct 1;94(10). doi: 10.1093/femsec/fiy147.

Abstract

Increasing evidence indicates that dysbiosis in the gut microbiota contributes to disease pathogenesis. However, whether certain taxa are universally indicative of diverse shrimp diseases is unclear thus far. We conducted a meta-analysis to explore the divergences in gut microbiota between healthy and diseased shrimp. The gut bacterial communities of healthy shrimp varied significantly (P < 0.05 in each comparison) over ontogenetic stages, and were distinct from the corresponding diseased cohorts at each life stage. Both phylogenetic-based mean nearest taxon distance analysis and multivariate dispersion testing revealed that shrimp disease weakened the relative importance of deterministic processes in governing the gut microbiota. Partitioning beta diversity analysis indicated that temporal turnover governed the gut microbiota as healthy shrimp aged, whereas this trend was retarded in disease cohorts, concurrent with an increased nestedness. After ruling out the age-discriminatory and disease-specific orders, a high diagnosed accuracy (85.9%) of shrimp health status was achieved by using the profiles of the 11 universal disease-discriminatory orders as independent variables. These findings improve current understanding of how disease alters the ecological processes that govern the shrimp gut microbiota assembly, and exemplifies the potential application of universal bacterial signatures to diagnose the incidence of diverse shrimp diseases, irrespective of causal pathogens.

摘要

越来越多的证据表明,肠道微生物群落的失调与疾病的发病机制有关。然而,到目前为止,还不清楚是否某些分类群普遍与不同的虾病有关。我们进行了一项荟萃分析,以探讨健康虾和患病虾之间肠道微生物群落的差异。健康虾的肠道细菌群落在个体发育阶段差异显著(在每次比较中 P < 0.05),并且在每个生命阶段都与相应的患病群体明显不同。基于系统发育的平均最近分类单元距离分析和多变量离散检验均表明,虾病削弱了决定肠道微生物群落的确定性过程的相对重要性。β多样性分区分析表明,随着健康虾龄的增长,时间更替控制着肠道微生物群落,而在疾病群体中,这种趋势被延迟,嵌套度增加。在排除年龄歧视和疾病特异性顺序后,使用 11 个通用疾病鉴别顺序的图谱作为自变量,可实现虾健康状况的高诊断准确性(85.9%)。这些发现提高了我们对疾病如何改变控制虾肠道微生物群落组装的生态过程的理解,并例证了通用细菌特征在诊断不同虾病方面的潜在应用,而不论病因病原体如何。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验