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A global relationship between genome size and encoded carbon metabolic strategies of soil bacteria

  • Xingjie Wu
  • , Jingjing Peng
  • , Ashish Anil Malik
  • , Ziheng Peng
  • , Yu Luo
  • , Fenliang Fan
  • , Yahai Lu
  • , Gehong Wei
  • , Manuel Delgado-Baquerizo
  • , Werner Liesack
  • , Shuo Jiao
  • China Agricultural University
  • University of Edinburgh
  • Northwest Agriculture and Forestry University
  • Zhejiang University
  • Chinese Academy of Agricultural Sciences
  • Peking University
  • CSIC - Institute of Natural Resources and Agrobiology of Seville
  • Max Planck Institute for Terrestrial Microbiology

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Microbial traits are critical for carbon sequestration and degradation in terrestrial ecosystems. Yet, our understanding of the relationship between carbon metabolic strategies and genomic traits like genome size remains limited. To address this knowledge gap, we conducted a global-scale meta-analysis of 2650 genomes, integrated whole-genome sequencing data, and performed a continental-scale metagenomic field study. We found that genome size was tightly associated with an increase in the ratio between genes encoding for polysaccharide decomposition and biomass synthesis that we defined as the carbon acquisition-to-biomass yield ratio (A/Y). We also show that horizontal gene transfer played a major evolutionary role in the expanded bacterial capacities in carbon acquisition. Our continental-scale field study further revealed a significantly negative relationship between the A/Y ratio and soil organic carbon stocks. Our work demonstrates a global relationship between genome size and the encoded carbon metabolic strategies of soil bacteria across terrestrial microbiomes.
Original languageEnglish
Article numbere70064
Number of pages12
JournalEcology Letters
Volume28
Issue number1
DOIs
Publication statusPublished - Jan 2025
Externally publishedYes

Keywords

  • bacterial strategies
  • carbon cycle
  • genome size
  • metagenomics
  • microbial traits

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