Other

Dataset Information

0

The Taxonomic and Metabolic Potential Susceptibility of Microbial Community to Aeolian Grassland Soil Erosion and Deposition


ABSTRACT: Aeolian soil erosion, exacerbated by anthropogenic perturbations, has become one of the most alarming processes of land degradation and desertification. By contrast, dust deposition might confer a potential fertilization effect. To examine how they affect topsoil microbial community, we conducted a study GeoChip techniques in a semiarid grassland of Inner Mongolia, China. We found that microbial communities were significantly (P<0.039) altered and most of microbial functional genes associated with carbon, nitrogen, phosphorus and potassium cycling were decreased or remained unaltered in relative abundance by both erosion and deposition, which might be attributed to acceleration of organic matter mineralization by the breakdown of aggregates during dust transport and deposition. As a result, there were strong correlations between microbial carbon and nitrogen cycling genes. amyA genes encoding alpha-amylases were significantly (P=0.01) increased by soil deposition, reflecting changes of carbon profiles. Consistently, plant abundance, total nitrogen and total organic carbon were correlated with functional gene composition, revealing the importance of environmental nutrients to soil microbial function potentials. Collectively, our results identified microbial indicator species and functional genes of aeolian soil transfer, and demonstrated that functional genes had higher susceptibility to environmental nutrients than taxonomy. Given the ecological importance of aeolian soil transfer, knowledge gained here are crucial for assessing microbe-mediated nutrient cyclings and human health hazard.

ORGANISM(S): Archaea uncultured bacterium Eukaryota Bacteria Viruses

PROVIDER: GSE67347 | GEO | 2015/03/28

SECONDARY ACCESSION(S): PRJNA279556

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2015-03-28 | E-GEOD-67347 | biostudies-arrayexpress
2022-03-01 | GSE147041 | GEO
2015-04-03 | E-GEOD-67531 | biostudies-arrayexpress
2015-04-03 | GSE67531 | GEO
2017-01-05 | GSE93158 | GEO
2018-05-01 | GSE98512 | GEO
2016-11-09 | GSE89644 | GEO
2016-09-27 | GSE86527 | GEO
2018-11-30 | GSE110485 | GEO
2013-10-30 | GSE51592 | GEO