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Peer-reviewedCC BY 4.0mBio

Competition-dominated microbial interactions and adaptive mutations enhance synthetic denitrifying community functions

3 more authors
  1. 1School of Marine Sciences, Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), the China-ASEAN Belt and Road Joint Laboratory on Mariculture Technology, School of Environmental Science and Engineering, Sun Yat-sen University
  2. 2Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory
  3. 3Department of Civil and Environmental Engineering, University of Tennessee

Abstract

Understanding how interspecific interactions shape ecosystem functioning is a fundamental and longstanding question in ecology, especially along an evolutionary trajectory. Here, we used experimental evolution to evaluate how microbial interactions and adaptive mutations shaped community-level functions in synthetic denitrifying communities (SDCs) along a species richness gradient (one, two, and six species). Our results showed that competitive microbial interactions were observed and significantly ( P < 0.05) enhanced denitrification rates in the six-species SDCs during experimental evolution. Genome and metagenome re-sequencing analysis revealed the highest fixed non-synonymous and frameshift mutations within the six-species SDCs, among genes involved in nutrient transport, DNA repair, and secretion pathways. AlphaFold2 protein structure prediction, molecular docking, and Evo 2 host fitness prediction indicated that the fixed mutations could improve host strain fitness, and partial least squares path modeling (PLS-PM) further revealed that interspecific competition accelerated adaptive mutations, thereby reinforcing community-level functions, indicating potential Red Queen dynamics. This study offers novel insights into our understanding of eco-evolutionary mechanisms linking species richness, microbial interactions, adaptive mutations, and community functions, with important implications for active nitrogen removal and greenhouse gas mitigation in diverse ecosystems.

IMPORTANCE: Microbial diversity is widely recognized as a key driver of ecosystem functioning, yet how species interactions shape ecosystem functions through evolutionary processes remains poorly understood. Using synthetic denitrifying communities with different levels of species richness, we show that interspecific competition can accelerate adaptive mutations and enhance community-level denitrification over evolutionary timescales. Communities with higher species richness accumulated more adaptive mutations, particularly in genes associated with nutrient transport, DNA repair, and secretion systems, ultimately improving microbial fitness and denitrification performance. Our findings provide direct experimental evidence that microbial competition can promote functional adaptation, consistent with the Red Queen hypothesis. This study advances our understanding of the eco-evolutionary mechanisms linking species richness, microbial interactions, adaptive evolution, and ecosystem functioning.

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BibTeX
@article{zhao2026competitiondominated,
  title = {{Competition-dominated microbial interactions and adaptive mutations enhance synthetic denitrifying community functions}},
  author = {Zhenrui Zhao and Ruiwen Hu and Min Zhou and Xiaotong Guan and Huaxia Huang and Lang Ding and Lu Qian and Yuzhen Ming and Mingyang Niu and Kun Wu and Xiaoli Yu and Qingyun Yan and Longfei Shu and Qiang He and Zhili He},
  journal = {mBio},
  year = {2026},
  month = oct,
  doi = {10.1128/mbio.02360-26},
  url = {https://journals.asm.org/doi/10.1128/mbio.02360-26},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Competition-dominated microbial interactions and adaptive mutations enhance synthetic denitrifying community functions
AU  - Zhenrui Zhao
AU  - Ruiwen Hu
AU  - Min Zhou
AU  - Xiaotong Guan
AU  - Huaxia Huang
AU  - Lang Ding
AU  - Lu Qian
AU  - Yuzhen Ming
AU  - Mingyang Niu
AU  - Kun Wu
AU  - Xiaoli Yu
AU  - Qingyun Yan
AU  - Longfei Shu
AU  - Qiang He
AU  - Zhili He
PY  - 2026
DA  - 2026/10/21
JO  - mBio
DO  - 10.1128/mbio.02360-26
UR  - https://journals.asm.org/doi/10.1128/mbio.02360-26
AB  - Understanding how interspecific interactions shape ecosystem functioning is a fundamental and longstanding question in ecology, especially along an evolutionary trajectory. Here, we used experimental evolution to evaluate how microbial interactions and adaptive mutations shaped community-level functions in synthetic denitrifying communities (SDCs) along a species richness gradient (one, two, and six species). Our results showed that competitive microbial interactions were observed and significantly ( P < 0.05) enhanced denitrification rates in the six-species SDCs during experimental evolution. Genome and metagenome re-sequencing analysis revealed the highest fixed non-synonymous and frameshift mutations within the six-species SDCs, among genes involved in nutrient transport, DNA repair, and secretion pathways. AlphaFold2 protein structure prediction, molecular docking, and Evo 2 host fitness prediction indicated that the fixed mutations could improve host strain fitness, and partial least squares path modeling (PLS-PM) further revealed that interspecific competition accelerated adaptive mutations, thereby reinforcing community-level functions, indicating potential Red Queen dynamics. This study offers novel insights into our understanding of eco-evolutionary mechanisms linking species richness, microbial interactions, adaptive mutations, and community functions, with important implications for active nitrogen removal and greenhouse gas mitigation in diverse ecosystems.  IMPORTANCE: Microbial diversity is widely recognized as a key driver of ecosystem functioning, yet how species interactions shape ecosystem functions through evolutionary processes remains poorly understood. Using synthetic denitrifying communities with different levels of species richness, we show that interspecific competition can accelerate adaptive mutations and enhance community-level denitrification over evolutionary timescales. Communities with higher species richness accumulated more adaptive mutations, particularly in genes associated with nutrient transport, DNA repair, and secretion systems, ultimately improving microbial fitness and denitrification performance. Our findings provide direct experimental evidence that microbial competition can promote functional adaptation, consistent with the Red Queen hypothesis. This study advances our understanding of the eco-evolutionary mechanisms linking species richness, microbial interactions, adaptive evolution, and ecosystem functioning.
SN  - 2150-7511
ER  -