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垂直栖息地偏好塑造了浅水湖泊中鱼类的肠道微生物群。

Vertical habitat preferences shape the fish gut microbiota in a shallow lake.

作者信息

Zhang Bowei, Xiao Jiaman, Liu Hongyan, Zhai Dongdong, Wang Ying, Liu Shujun, Xiong Fei, Xia Ming

机构信息

Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, School of Life Sciences, Jianghan University, Wuhan, China.

Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Jianghan University, Wuhan, China.

出版信息

Front Microbiol. 2024 Mar 18;15:1341303. doi: 10.3389/fmicb.2024.1341303. eCollection 2024.

Abstract

Understanding the interactions between fish gut microbiota and the aquatic environment is a key issue for understanding aquatic microorganisms. Environmental microorganisms enter fish intestines through feeding, and the amount of invasion varies due to different feeding habits. Traditional fish feeding habitat preferences are determined by fish morphology or behavior. However, little is known about how the feeding behavior of fish relative to the vertical structure in a shallow lake influences gut microbiota. In our study, we used nitrogen isotopes to measure the trophic levels of fish. Then high-throughput sequencing was used to describe the composition of environmental microbiota and fish gut microbiota, and FEAST (fast expectation-maximization for microbial source tracking) method was used to trace the source of fish gut microbiota. We investigated the microbial diversity of fish guts and their habitats in Lake Sanjiao and verified that the sediments indeed played an important role in the assembly of fish gut microbiota. Then, the FEAST analysis indicated that microbiota in water and sediments acted as the primary sources in half of the fish gut microbiota respectively. Furthermore, we classified the vertical habitat preferences using microbial data and significant differences in both composition and function of fish gut microbiota were observed between groups with distinct habitat preferences. The performance of supervised and unsupervised machine learning in classifying fish gut microbiota by habitat preferences actually exceeded classification by fish species taxonomy and fish trophic level. Finally, we described the stability of fish co-occurrence networks with different habitat preferences. Interestingly, the co-occurrence network seemed more stable in pelagic fish than in benthic fish. Our results show that the preferences of fish in the vertical structure of habitat was the main factor affecting their gut microbiota. We advocated the use of microbial interactions between fish gut and their surrounding environment to reflect fish preferences in vertical habitat structure. This approach not only offers a novel perspective for understanding the interactions between fish gut microbiota and environmental factors, but also provides new methods and ideas for studying fish habitat selection in aquatic ecosystems.

摘要

了解鱼类肠道微生物群与水生环境之间的相互作用是理解水生微生物的关键问题。环境微生物通过摄食进入鱼的肠道,由于摄食习惯不同,入侵量也有所差异。传统上,鱼类的摄食栖息地偏好是由鱼类形态或行为决定的。然而,关于鱼类在浅水湖泊中的垂直结构方面的摄食行为如何影响肠道微生物群,我们却知之甚少。在我们的研究中,我们使用氮同位素来测量鱼类的营养级。然后利用高通量测序来描述环境微生物群和鱼类肠道微生物群的组成,并使用FEAST(微生物源追踪的快速期望最大化)方法来追踪鱼类肠道微生物群的来源。我们调查了三角湖鱼类肠道及其栖息地的微生物多样性,并证实沉积物确实在鱼类肠道微生物群的组装中发挥了重要作用。然后,FEAST分析表明,水和沉积物中的微生物群分别是一半鱼类肠道微生物群的主要来源。此外,我们利用微生物数据对垂直栖息地偏好进行了分类,并且在具有不同栖息地偏好的组之间观察到鱼类肠道微生物群在组成和功能上存在显著差异。通过栖息地偏好对鱼类肠道微生物群进行分类时,监督式和非监督式机器学习的表现实际上超过了按鱼类物种分类和鱼类营养级进行的分类。最后,我们描述了具有不同栖息地偏好的鱼类共现网络的稳定性。有趣的是,浮游鱼类的共现网络似乎比底栖鱼类的更稳定。我们的结果表明,鱼类在栖息地垂直结构上的偏好是影响其肠道微生物群的主要因素。我们主张利用鱼类肠道与其周围环境之间的微生物相互作用来反映鱼类在垂直栖息地结构上的偏好。这种方法不仅为理解鱼类肠道微生物群与环境因素之间的相互作用提供了一个新的视角,而且为研究水生生态系统中鱼类栖息地选择提供了新的方法和思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c03b/10987288/6516c47caacc/fmicb-15-1341303-g001.jpg

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