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Joint Berkeley Initiative for Microbiome Science

Joint Berkeley Initiative for Microbiome Science

  • About
    • Leadership
    • Scientific Advisory Board
    • Partners
    • News
  • Community
    • People
    • Spotlights
  • Education
    • Graduate Courses
    • Undergraduate Courses
    • Seminars and Events
  • Connect
    • Contact
  • Opportunities
    • Current Openings
    • Graduate Opportunities
    • Post-Baccalaureate Opportunities
    • Undergraduate Opportunities

Predicting rhizosphere microbiome dynamics 

Dr. Gianna Marschmann and members of LBNL’s Ecology Department used genome-inferred models of microbial traits and energy budgets to successfully predict metabolic strategies of plant-associated microbes. In doing so, their models highlighted important life history traits and trade-offs, which provide useful insights for improving microbial components of global biogeochemical models. Published February 5, 2024 in Nature Microbiology

From Marschmann et al. (2024)

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