Geographical distance, host evolutionary history and diet drive gut microbiome diversity of fish across the Yellow River

生物 微生物群 寄主(生物学) 生物扩散 β多样性 生态学 肠道菌群 基因组 α多样性 动物 生物多样性 人口 基因 社会学 人口学 免疫学 生物信息学 生物化学
作者
Baozhu Pan,Xu Han,Ke Yu,He Sun,Rong Mu,Chun‐Ang Lian
出处
期刊:Molecular Ecology [Wiley]
卷期号:32 (5): 1183-1196 被引量:43
标识
DOI:10.1111/mec.16812
摘要

Abstract Fish represent a large part of the taxonomic diversity of vertebrates and are of high commercial value. However, the factors influencing the gut microbiota composition of freshwater fish over large spatial scales remain unclear. Therefore, this study explored gut microbiome diversity in 24 fish species from the Yellow River, which spans over 1500 km across China. The results showed that geographical distance, host phylogeny and diet significantly influenced gut microbial community diversity, whereas sex, body length and body weight had minimal influence. Geographical distance was the primary factor shaping gut microbiota, and dissimilarity in microbial community structure increased with an increase in geographical distance, which was mainly driven by dispersal limitation. The microbial communities were more homogeneous at higher host taxonomic resolutions due to the dominant role of homogeneous selection in community convergence. Phylosymbiosis was observed across all host species, with a stronger pattern in Cypriniformes, which harbour host‐specific microbial taxa. Host diet explained little variation in gut microbiome diversity, although it was significant for all diversity metrics tested. These findings collectively suggest that the geographical and host‐based patterns of fish gut microbiota tend to be shaped by different ecological forces across the Yellow River. The present work provides a robust assessment of multiple factors driving fish gut microbial community assembly and offers insight into the mechanisms underlying shifts in fish gut microbiota in rivers across large spatial scales.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
烟花应助qiqi采纳,获得30
1秒前
kyle完成签到,获得积分20
3秒前
4秒前
上官若男应助淡然迎波采纳,获得10
4秒前
橘又青完成签到,获得积分10
4秒前
EMMA完成签到,获得积分10
5秒前
科研通AI6.2应助十三采纳,获得30
5秒前
爆米花应助Kathy采纳,获得10
5秒前
稳重的白竹关注了科研通微信公众号
5秒前
5秒前
5秒前
小蘑菇应助碧蓝的以彤采纳,获得10
6秒前
Ashy完成签到,获得积分10
6秒前
x菜鸡博士应助默默采纳,获得10
7秒前
迷雾完成签到,获得积分20
7秒前
Lucas应助shi1207863831采纳,获得10
7秒前
啊达拉崩吧完成签到 ,获得积分20
7秒前
沐沐ni完成签到,获得积分10
9秒前
10秒前
洛必达发布了新的文献求助10
10秒前
anti-auto完成签到,获得积分10
10秒前
叶子完成签到,获得积分20
11秒前
搜集达人应助自信续采纳,获得10
12秒前
12秒前
13秒前
王明初完成签到,获得积分10
13秒前
13秒前
科研通AI6.2应助panyanjun采纳,获得10
13秒前
科研通AI6.2应助panyanjun采纳,获得10
13秒前
科研通AI6.3应助panyanjun采纳,获得10
13秒前
科研通AI6.1应助panyanjun采纳,获得10
13秒前
打打应助路与采纳,获得10
13秒前
13秒前
科研通AI6.2应助panyanjun采纳,获得10
13秒前
科研通AI6.3应助panyanjun采纳,获得10
13秒前
大个应助ALBERT采纳,获得10
14秒前
科研通AI6.1应助panyanjun采纳,获得10
14秒前
科研通AI6.2应助panyanjun采纳,获得10
14秒前
科研通AI6.4应助panyanjun采纳,获得10
14秒前
科研通AI6.1应助panyanjun采纳,获得10
14秒前
高分求助中
Cronologia da história de Macau 5000
Matrix Methods in Data Mining and Pattern Recognition 510
C语言程序设计(微课版) 500
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Forensic Science An Introduction to Scientific and Investigative Techniques 6th Edition 400
Reaction of 3-Methylenedihydro-(3H)furan-2-one with Diazoalkanes. Syntheses and Crystal Structures of Spiranic Cyclopropyl Compounds 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7096089
求助须知:如何正确求助?哪些是违规求助? 8752618
关于积分的说明 18512612
捐赠科研通 6649994
什么是DOI,文献DOI怎么找? 3137882
关于科研通互助平台的介绍 2246255
邀请新用户注册赠送积分活动 2112746