Improving Soil Bacterial Taxa-Area Relationships Assessment Using DNA Meta-Barcoding

The evaluation of the Taxa-Area Relationship (TAR) with molecular fingerprinting data has demonstrated the spatial structuration of soil microorganisms and raised insights into the processes shaping their diversity. Today, the increasing use of massive sequencing technologies in biodiversity investigations raises the question of its gain compared to fingerprinting approach for broad-scale biogeography studies to better understand the determinism of soil microbial community assembly. The objectives of this study were to compare DNA fingerprinting and Meta-Barcoding approaches for the evaluation of soil bacterial TAR and the determinism of soil bacterial community assembly on a broad scale. This comparison was performed on 392 soil samples distributed into four French geographic regions with different levels of environmental heterogeneity. Both molecular approaches demonstrated a TAR with a significant slope, but turnover rates estimated were significantly higher and more robust with Meta-Barcoding due to its better sensitivity for soil bacterial community richness description. These two approaches were also useful in evidencing processes shaping bacterial diversity variations on a broad scale. Different taxonomic resolutions together with Sorensen or Unweighted UniFrac indexes were considered for Meta-Barcoding data. These significantly influence the estimation of the turnover rates but did not affect the relative importance of each process. Altogether, DNA Meta-Barcoding provides a more sensitive and robust evaluation of the TAR and may lead to reexamine the processes shaping soil bacterial community assembly, particularly in the context of up-scaling studies. This would raise new insights for soil microbial ecology in a context of sustainable use of soil resources.

Identifier
Source https://data.blue-cloud.org/search-details?step=~0121E0778939C0B03AA7FB640796B926915125C95A0
Metadata Access https://data.blue-cloud.org/api/collections/1E0778939C0B03AA7FB640796B926915125C95A0
Provenance
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (-3.931W, 43.016S, 7.321E, 48.618N)
Temporal Coverage Begin 2002-01-01T00:00:00Z
Temporal Coverage End 2008-01-01T00:00:00Z