Scholarlink

<p><i>Trichoderma</i> fungi support sustainable agriculture by suppressing plant diseases and improving crop performance. However, emerging pathogenicity of <i>Trichoderma</i> warrants further ecological and genetic characterization. Here we used machine learning to correlate genomic data from 37 <i>Trichoderma</i> strains with over 140 phenotypic traits, spanning metabolic versatility, biotic interactions, stress tolerance and reproductive strategies. We determined <i>Trichoderma</i> to be an ancient, genetically cohesive and physiologically diverse genus with spores capable of germination in water and dispersal via air and water droplets. Metabolic preferences indicate universal adaptation to mycoparasitism and to niches like arboreal microbial mats, alongside broader saprotrophic versatility. Our analyses are consistent with character displacement among close relatives and convergent evolution in distant lineages, with both processes shaping ecological plasticity and traits including dispersal modes, terrestrialization or endophytism. Our findings reveal that while some <i>Trichoderma</i> species show traits of biosafety concern, its vast ecophysiological diversity enables the development of safe, targeted bioeffectors.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Phenogenomics reveals the ecology and evolution of Trichoderma fungi for sustainable agriculture

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月3日

查看全文
  • Andrei S. Steindorff,
  • Feng M. Cai,
  • Mingyue Ding,
  • Siqi Jiang,
  • Lea Atanasova,
  • Scott E. Baker,
  • Jomal Rodrigues Barbosa-Filho,
  • Gunseli Bayram Akcapinar,
  • Daren W. Brown,
  • Priscila Chaverri,
  • Peijie Chen,
  • Komal Chenthamara,
  • Chris Daum,
  • Elodie Drula,
  • Mukesh Dubey,
  • Mikael Brandström Durling,
  • Daniel Flatschacher,
  • Thomas Ebner,
  • Tamás Emri,
  • Renwei Gao,
  • Raphaela Castro Georg,
  • Bernard Henrissat,
  • Rosa Hermosa,
  • Alfredo Herrera-Estrella,
  • Wolfgang Hinterdobler,
  • Philipp Kainz,
  • Magnus Karlsson,
  • László Kredics,
  • Christian P. Kubicek,
  • Alan Kuo,
  • Kurt LaButti,
  • Anna Lipzen,
  • Matteo Lorito,
  • Robert L. Mach,
  • Gelsomina Manganiello,
  • Tamás Marik,
  • Natalia Martinez-Reyes,
  • Michael Mayrhofer-Reinhartshuber,
  • Márton Miskei,
  • Marie-Claude Moisan,
  • Stephen Mondo,
  • Enrique Monte,
  • Vivian Ng,
  • Guan Pang,
  • Jasmyn Pangilinan,
  • Mao Peng,
  • Edoardo Piombo,
  • István Pócsi,
  • Mohammad Javad Rahimi,
  • Sumitha K. Reddy,
  • Robert Riley,
  • Sabrina Sarrocco,
  • Matthias Schmal,
  • Monika Schmoll,
  • Attila Szűcs,
  • Sheridan L. Woo,
  • Oded Yarden,
  • Susanne Zeilinger,
  • Christian Zimmermann,
  • Ekaterina Shelest,
  • Adrian Tsang,
  • Randy Berka,
  • Ronald P. de Vries,
  • Igor V. Grigoriev,
  • Irina S. Druzhinina

摘要

Trichoderma fungi support sustainable agriculture by suppressing plant diseases and improving crop performance. However, emerging pathogenicity of Trichoderma warrants further ecological and genetic characterization. Here we used machine learning to correlate genomic data from 37 Trichoderma strains with over 140 phenotypic traits, spanning metabolic versatility, biotic interactions, stress tolerance and reproductive strategies. We determined Trichoderma to be an ancient, genetically cohesive and physiologically diverse genus with spores capable of germination in water and dispersal via air and water droplets. Metabolic preferences indicate universal adaptation to mycoparasitism and to niches like arboreal microbial mats, alongside broader saprotrophic versatility. Our analyses are consistent with character displacement among close relatives and convergent evolution in distant lineages, with both processes shaping ecological plasticity and traits including dispersal modes, terrestrialization or endophytism. Our findings reveal that while some Trichoderma species show traits of biosafety concern, its vast ecophysiological diversity enables the development of safe, targeted bioeffectors.