Factors influencing the spatial distributions of river microbial communities at the watershed scale: a case study involving the Wuding River Basin

Microbial communities regulate water quality and biogeochemical cycling in rivers, but their responses to geomorphological factors remain unclear. Water samples were collected in August 2024 (summer wet season) from the Wuding River, and metagenomic sequencing was used to investigate microbial community changes and the influences of geomorphological factors. Environment (nutrients, etc.,) exhibited significant spatial heterogeneity with temperature (<i>p</i> < 0.01), total organic carbon (TOC, <i>p</i> < 0.001), dissolved organic carbon (DOC, <i>p</i> < 0.001), chemical oxygen demand (COD, <i>p</i> < 0.05), total phosphorus (TP, <i>p</i> < 0.001) and suspended solids (SS, <i>p</i> < 0.001), which were significantly higher downstream than upstream. <i>Pseudomonadota</i>, <i>Cyanobacteriota</i>, and <i>Actinomycetota</i> were the most important microbial phyla, and <i>Cyanobacteriota</i> (<i>p</i> = 0.016) was significantly more abundant upstream than downstream. The linear discriminant analysis effect size (LEfSe) revealed 8 and 10 biomarkers upstream and downstream, respectively. Upstream microbial communities were adapted to oligotrophic and high-light environments, whereas heterotrophic, carbon-metabolizing communities occurred downstream. Significantly higher ACE (<i>p</i> < 0.05), Chao1 (<i>p</i> < 0.05), Shannon (<i>p</i> < 0.001), and Pielou's evenness (<i>p</i> < 0.001) indices were observed downstream than upstream. The relative abundance of genes associated with carbon cycling (the methane metabolism pathway, TCA cycle, and rTCA cycle) was greater downstream than upstream, as was the relative abundance of nitrogen functional genes. Elevation affected the upstream microbial communities, whereas temperature, TP, TOC, and nitrate nitrogen (NO<sub>3</sub>-N) affected the downstream communities. The results improve our understanding of how geomorphology drives the environmental factors and then governs the microbial community and their carbon and nitrogen cycling pathways.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-11-11
DOI
https://doi.org/10.3389/fmicb.2025.1667966
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Factors influencing the spatial distributions of river microbial communities at the watershed scale: a case study involving the Wuding River Basin

Xiaohong Zhao, Nan Xue, Manhong Xia, Xuan Gong et al.
Frontiers in Microbiology
Microbial Community Ecology and Physiology
article

Factors influencing the spatial distributions of river microbial communities at the watershed scale: a case study involving the Wuding River Basin

Xiaohong Zhao, Nan Xue, Manhong Xia, Xuan Gong, Zhoufeng Wang, Bo Hu
article en

Abstract

Microbial communities regulate water quality and biogeochemical cycling in rivers, but their responses to geomorphological factors remain unclear. Water samples were collected in August 2024 (summer wet season) from the Wuding River, and metagenomic sequencing was used to investigate microbial community changes and the influences of geomorphological factors. Environment (nutrients, etc.,) exhibited significant spatial heterogeneity with temperature (<i>p</i> < 0.01), total organic carbon (TOC, <i>p</i> < 0.001), dissolved organic carbon (DOC, <i>p</i> < 0.001), chemical oxygen demand (COD, <i>p</i> < 0.05), total phosphorus (TP, <i>p</i> < 0.001) and suspended solids (SS, <i>p</i> < 0.001), which were significantly higher downstream than upstream. <i>Pseudomonadota</i>, <i>Cyanobacteriota</i>, and <i>Actinomycetota</i> were the most important microbial phyla, and <i>Cyanobacteriota</i> (<i>p</i> = 0.016) was significantly more abundant upstream than downstream. The linear discriminant analysis effect size (LEfSe) revealed 8 and 10 biomarkers upstream and downstream, respectively. Upstream microbial communities were adapted to oligotrophic and high-light environments, whereas heterotrophic, carbon-metabolizing communities occurred downstream. Significantly higher ACE (<i>p</i> < 0.05), Chao1 (<i>p</i> < 0.05), Shannon (<i>p</i> < 0.001), and Pielou's evenness (<i>p</i> < 0.001) indices were observed downstream than upstream. The relative abundance of genes associated with carbon cycling (the methane metabolism pathway, TCA cycle, and rTCA cycle) was greater downstream than upstream, as was the relative abundance of nitrogen functional genes. Elevation affected the upstream microbial communities, whereas temperature, TP, TOC, and nitrate nitrogen (NO<sub>3</sub>-N) affected the downstream communities. The results improve our understanding of how geomorphology drives the environmental factors and then governs the microbial community and their carbon and nitrogen cycling pathways.

Frontiers in MicrobiologyVol. 16
Chang'an University (CN), Ministry of Water Resources of the People's Republic of China (CN)
Shaanxi Provincial Science and Technology Department
Openalex Percentile: Top 67%
Microbial Community Ecology and Physiology
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