Geographic distribution of bacterial communities of inland waters in China.

Autor: Wang, Binhao1 (AUTHOR), Hu, Kaiming2 (AUTHOR), Li, Chuqiao2 (AUTHOR), Zhang, Yinan2 (AUTHOR), Hu, Chao2 (AUTHOR), Liu, Zhiquan1 (AUTHOR), Ding, Jiafeng1 (AUTHOR), Chen, Lin3,4 (AUTHOR), Zhang, Wei3,4 (AUTHOR), Fang, Jing3,4 (AUTHOR), Zhang, Hangjun1,5 (AUTHOR) 20080099@hznu.edu.cn
Předmět:
Zdroj: Environmental Research. May2024, Vol. 249, pN.PAG-N.PAG. 1p.
Abstrakt: Microorganisms are integral to freshwater ecological functions and, reciprocally, their activity and diversity are shaped by the ecosystem state. Yet, the diversity of bacterial community and its driving factors at a large scale remain elusive. To bridge this knowledge gap, we delved into an analysis of 16S RNA gene sequences extracted from 929 water samples across China. Our analyses revealed that inland water bacterial communities showed a weak latitudinal diversity gradient. We found 530 bacterial genera with high relative abundance of hgcI clade. Among them, 29 core bacterial genera were identified, that is strongly linked to mean annual temperature and nutrient loadings. We also detected a non-linear response of bacterial network complexity to the increasing of human pressure. Mantel analysis suggested that MAT, HPI and P loading were the major factors driving bacterial communities in inland waters. The map of taxa abundance showed that the abundant CL500-29 marine group in eastern and southern China indicated high eutrophication risk. Our findings enhance our understanding of the diversity and large-scale biogeographic pattern of bacterial communities of inland waters and have important implications for microbial ecology. [Display omitted] • Inland water bacterial communities showed a weak latitudinal diversity gradient. • Bacterial network complexity exhibited humped patterns as HPI increasing. • Bacterial community composition depended on temperature, nutrient loading, and HPI. • HgcI clade is highly abundant and widely distributed in inland waters. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE