Sammanfattning

Microbial communities play a major role in the degradation of soil organic matter (SOM) in soils. Despite its significance, the functional diversity of the highly diverse microbial communities is poorly understood. To address this, we applied a recently developed technique, captured metagenomics, to determine the effects of land-use on the functional genetic diversity of genes involved in the carbon degradation of SOM in five pairs of agricultural soils with either winter wheat or grass as management. In addition, 16S rRNA based amplicon sequencing was used to study the taxonomic composition in the same soils. The functional genes resulting from the captured metagenomes had a higher abundance and diversity of sequences coding for enzymes degrading SOM in the grasslands compared to the wheat soils. Though the taxonomic diversity did not correlate with the land use. Amounts of C and N (organic matter content) in the soils affected both functional and taxonomic diversity of the microbial communities, where N was highly correlated to their functions and C was highly correlated to their taxonomy. Captured metagenomic analyses of the functional genes may provide a measure of the potential SOM degradation capacity by soil microbial communities at a high resolution. This can be used for assessments of how agricultural management affects the functioning of soil communities. (C) 2017 Elsevier Ltd. All rights reserved.

Nyckelord

Microbial ecology; Functional genes; Captured metagenomics; Land-use management; MiSeq paired-end sequencing

Publicerad i

Soil Biology and Biochemistry
2017, Volym: 115, sidor: 423-432

SLU författare

• Kushwaha, Sandeep Kumar

  • Institutionen för växtskyddsbiologi, Sveriges lantbruksuniversitet
    
  • Lunds Universitet

Globala målen

SDG15 Skydda, återställa och främja ett hållbart nyttjande av landbaserade ekosystem, hållbart bruka skogar, bekämpa ökenspridning, hejda och vrida tillbaka markförstöringen samt hejda förlusten av biologisk mångfald


UKÄ forskningsämne

Bioinformatik och systembiologi


Publikationens identifierare

DOI: https://doi.org/10.1016/j.soilbio.2017.09.011

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/89139