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High microbiome diversity constricts the prevalence of human and animal pathogens in the plant rhizosphere worldwide

  • Xinrun Yang
  • , Changqin Li
  • , Danyi Ouyang
  • , Bingqiong Wu
  • , Tingting Fang
  • , Ningqi Wang
  • , Yaozhong Zhang
  • , Tianxiang Zhu
  • , Thomas Pommier
  • , Alexandre Jousset
  • , Samiran Banerjee
  • , Yangchun Xu
  • , Qirong Shen
  • , Gaofei Jiang
  • , Brajesh K. Singh
  • , Zhong Wei
  • Nanjing Agricultural University
  • Setec Energie Environnement
  • North Dakota State University

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Agricultural soils are often overlooked sources of human and animal pathogenic bacteria, which can cause a range of food-, air-, and waterborne diseases. The awareness of pathogens in soil is as old as that in modern microbiology, but we still know little about the factors driving their global distribution. Here, we compiled 342 pairs of bulk and rhizosphere soil microbiomes to identify 9,516 potential pathogenic amplicon sequence variants (ASVs), 75% of which were human-animal pathogens. The relative abundance and diversity of these pathogens in the rhizosphere were 81% and 11% higher, respectively, compared to bulk soils. Most of these pathogens are opportunistic, and 11 keystone species in the rhizosphere have been reported as human gut pathogens. Through different agricultural management practices, we revealed that increasing microbial diversity reduces pathogen prevalence. This study aligns the interest of sustainable food production and public health by providing incentives for the redesign of food production systems.
Original languageEnglish
Pages (from-to)1301-1312
Number of pages12
JournalOne Earth
Volume7
Issue number7
DOIs
Publication statusPublished - 2024

Notes


UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 16S rRNA gene sequencing
  • cropland
  • human and animal pathogens
  • meta-analysis
  • pathogenic bacteria
  • rhizosphere

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