Structure and function of the global topsoil microbiome

By M. Bahram, F. Hildebrand, Sofia K. Forslund, Jennifer L. Anderson, Nadejda A. Soudzilovskaia, Peter M. van Bodegom, Johan Bengtsson-Palme, Sten Anslan, Luis Pedro Coelho, Helery Harend and 11 more. Nature, 2018

2,056 citations recorded by the source corpus.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/60987d59a9ec260e3e94a1c4f57f49184950b25e

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Citations in the corpus

Deterministic selection dominates microbial community assembly in termite mounds (2020, methodology): “5B), and similar results were observed in global topsoil microbiome [13].”
The interplay between microbial communities and soil properties (2023, neutral): “For example, metabarcoding of topsoil samples at a global scale showed the key role of soil pH in explaining the diversity and composition of soil bacterial communities 3 .”
Scientists’ warning to humanity: microorganisms and climate change (2019, neutral): “A global assessment of topsoil found that soil fungi and bacteria occupy specific niches and respond differently to precipitation and soil pH, indicating that climate change would have differential impacts on their abundance, diversity and functions 218 .”
Global biogeography of fungal and bacterial biomass carbon in topsoil (2020, neutral): “Although the taxonomic diversity of fungi and bacteria are highest in mid-latitude regions (Tedersoo et al., 2014; Bahram et al., 2018), these biomes support the lowest microbial biomass.”
The global soil community and its influence on biogeochemistry (2019, background): “Yet with enough samples across the globe, the patterns of niche filtering are beginning to emerge (8), as environmental variables including evapotranspiration and soil C:N drive consistent variation in fungal community composition (6, 8).”
MIBiG 2.0: a repository for biosynthetic gene clusters of known function (2019, methodology): “Similarly, Bahram et al. (8) used homology searches against MIBiG to identify fungal BGCs associated with antibacterial activity across 7560 metagenomic samples, based on a set of MIBiG gene clusters whose products could be annotated with this activity; thus, they were able to show that the…”