Drivers and human impacts on topsoil bacterial and fungal community biogeography across Australia.
Peipei XueBudiman MinasnyAlexandre M J-C WadouxMercedes Román DobarcoAlex B McBratneyAndrew BissettPatrice de CaritatPublished in: Global change biology (2024)
Soil microbial diversity mediates a wide range of key processes and ecosystem services influencing planetary health. Our knowledge of microbial biogeography patterns, spatial drivers and human impacts at the continental scale remains limited. Here, we reveal the drivers of bacterial and fungal community distribution in Australian topsoils using 1384 soil samples from diverse bioregions. Our findings highlight that climate factors, particularly precipitation and temperature, along with soil properties, are the primary drivers of topsoil microbial biogeography. Using random forest machine-learning models, we generated high-resolution maps of soil bacteria and fungi across continental Australia. The maps revealed microbial hotspots, for example, the eastern coast, southeastern coast, and west coast were dominated by Proteobacteria and Acidobacteria. Fungal distribution is strongly influenced by precipitation, with Ascomycota dominating the central region. This study also demonstrated the impact of human modification on the underground microbial community at the continental scale, which significantly increased the relative abundance of Proteobacteria and Ascomycota, but decreased Chloroflexi and Basidiomycota. The variations in microbial phyla could be attributed to distinct responses to altered environmental factors after human modifications. This study provides insights into the biogeography of soil microbiota, valuable for regional soil biodiversity assessments and monitoring microbial responses to global changes.
Keyphrases
- microbial community
- endothelial cells
- healthcare
- machine learning
- induced pluripotent stem cells
- antibiotic resistance genes
- climate change
- mental health
- high resolution
- pluripotent stem cells
- primary care
- risk assessment
- plant growth
- deep learning
- health information
- dna methylation
- tandem mass spectrometry
- human health
- social media
- liquid chromatography
- anaerobic digestion