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<p>Denitrifying anaerobic methane oxidation (DAMO) archaea constitute a key biological methane sink, substantially mitigating methane emissions from river ecosystems. Although economic development is recognized as a factor capable of shaping microbial communities, its specific impact on DAMO archaea remains unclear. In this study, we characterized the DAMO archaeal communities along the mainstream of the Yangtze River using amplicon sequencing across different spatial regions, followed by multivariate statistical analyses to assess the influence of socio-economic factors. Phylogenetic analysis demonstrated Group B dominated the DAMO archaeal communities, with higher richness in the downstream region (<i>P</i> &lt; 0.01). Constrained principal coordinate analysis further indicated spatial heterogeneity in DAMO archaeal community structure (<i>P</i> = 0.001). Redundancy analysis demonstrated significant impacts of socio-economic, climatic, and physiochemical factors on DAMO archaeal communities (<i>P</i> = 0.001), with hierarchical partitioning identifying gross domestic product (GDP) as the most influential factor (20.5%). Moreover, GDP was also associated with assembly processes (normalized stochasticity ratio) and co-occurrence networks (modular structure) of DAMO archaeal communities (<i>P</i> &lt; 0.0001). Collectively, these findings underscore the spatial dynamics of DAMO archaea in river ecosystems and provide new insights into the role of socio-economics on their distributions.</p>

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Association between gross domestic product and spatial distribution of denitrifying anaerobic methane-oxidizing archaea along the Yangtze River

  • 期刊论文

  • 发表日期：

    2026年7月6日

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  • Zhaoyue Zheng,
  • Shuaishuai Zhang,
  • Yuxiang Zhu,
  • Tao Zhang,
  • Mengni Dong,
  • Sai Xu

摘要

Denitrifying anaerobic methane oxidation (DAMO) archaea constitute a key biological methane sink, substantially mitigating methane emissions from river ecosystems. Although economic development is recognized as a factor capable of shaping microbial communities, its specific impact on DAMO archaea remains unclear. In this study, we characterized the DAMO archaeal communities along the mainstream of the Yangtze River using amplicon sequencing across different spatial regions, followed by multivariate statistical analyses to assess the influence of socio-economic factors. Phylogenetic analysis demonstrated Group B dominated the DAMO archaeal communities, with higher richness in the downstream region (P < 0.01). Constrained principal coordinate analysis further indicated spatial heterogeneity in DAMO archaeal community structure (P = 0.001). Redundancy analysis demonstrated significant impacts of socio-economic, climatic, and physiochemical factors on DAMO archaeal communities (P = 0.001), with hierarchical partitioning identifying gross domestic product (GDP) as the most influential factor (20.5%). Moreover, GDP was also associated with assembly processes (normalized stochasticity ratio) and co-occurrence networks (modular structure) of DAMO archaeal communities (P < 0.0001). Collectively, these findings underscore the spatial dynamics of DAMO archaea in river ecosystems and provide new insights into the role of socio-economics on their distributions.