{
  "id": 18154433,
  "title": "Genome-scale metabolic models reveal phylogenetic conservation of amino acid fermentation-linked metabolic traits in soil bacteria",
  "url": "https://urgent.news/2026/11/04/genome-scale-metabolic-models-reveal-phylogenetic-conservation-of",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-04T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.02.763679v1?rss=1"
  },
  "original_language": "en",
  "account": "Soil bacteria play a crucial role in cycling essential elements like carbon, nitrogen, and more, yet the connection between microbial community makeup and ecosystem function remains unclear. Genome-scale metabolic models (GEMs) provide a framework to link specific microbes and their metabolic pathways to these fluxes. However, the diverse nature of soil communities has made it difficult to generate high-quality genomes, impacting the application of flux balance analysis (FBA) to soil samples and limiting the model development to cultured organisms. This gap in knowledge hampers our understanding of soil microbial physiology and their responses to environmental changes. To address this, researchers have developed a collection of GEMs for 550 microbial genomes (497 bacteria and 53 archaea) sourced from 94 soil samples across the United States. An example of their application involved using FBA to estimate the uptake and secretion of 44 common metabolites. They discovered that while the overall bacterial phylogenetic signal was weak, eight metabolites exhibited significant conservation. These included amino acids such as L-methionine, L-leucine, and L-isoleucine, fermentation by-products like pyruvate, acetaldehyde, and ethanol, as well as degradation by-products of NH and CO2. Most bacterial genomes were predicted to import branched-chain amino acids, and a subset also secreted pyruvate and ethanol, suggesting potential cross-feeding interactions among these microbes. This study highlights that fermentation-linked traits may be phylogenetically conserved and potentially predictable from the community composition itself. In contrast, most other metabolites showed no detectable phylogenetic signal. The researchers believe these findings will enable predicting soil microbial metabolisms more accurately, from cross-feeding dynamics and carbon-use efficiency to community responses to environmental disturbances. Ultimately, this resource offers a mechanism to bridge the gap between microbial taxonomy and ecosystem-scale biogeochemistry.",
  "summary": "Soil microorganisms drive biogeochemical cycling of carbon, nitrogen, and other elements, but the partitioning of metabolic fluxes among taxa remains poorly understood, limiting our ability to link community composition to ecosystem function. Genome-scale metabolic models (GEMs) offer a mechanistic framework to connect taxa and their metabolic pathways to these fluxes. However, heterogeneity of…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}