Environmental filtering shapes divergent bacterial strategies and genomic traits across soil niches

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Authors: Tim Goodall, Robert Iwan Griffiths, Bridget A. Emmett, Briony Jones, Amy C. Thorpe, Daniel S. Read, Susheel Bhanu Busi
Cited by: 0
References: 42

Abstract

Abstract Soil pH is a predominant factor in structuring microbial communities; however, its role in shaping microbial life-history traits across large spatial scales remains underexplored. Here, we hypothesised that bacterial ubiquity, or niche breadth, across a diverse collection of soils is linked to genomic traits. We leveraged a national-scale survey of UK soils (the Countryside Survey) and 16S rRNA gene sequencing data with trait annotations (estimated genome size, coding density, and rRNA operon copy number) to examine trait-environment-niche breadth relationships. Our analyses revealed that soil pH was the dominant environmental driver of niche classification and bacterial community traits along the niche range. Low pH soils (pH 7) feature communities with the smallest niche range, smallest genomes and highest coding densities. Here, specialisation occurs through streamlining with simpler, smaller genomes favoured. We found that generalist taxa were widespread across the pH range, becoming dominant under acidic conditions, while taxa adapted to higher pH were comparatively scarce in their distribution. These findings identify soil pH as a key physiological filter that aligns microbial genomic traits and ecological strategies across landscapes. By extending prior site-specific results to a broad-scale context, our study highlights how trait-based metrics can predict microbial responses to soil conditions, with implications for understanding ecosystem carbon cycling and informing land management practices aimed at sustaining soil health in the future.

Fields of Study & Subjects

Microbial Community Ecology and Physiology Soil Carbon and Nitrogen Dynamics Genomics and Phylogenetic Studies

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
17 January 2026
Document type
Preprint