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Title: Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition

Abstract

Aeolian soil erosion and deposition have worldwide impacts on agriculture, air quality and public health. Yet, ecosystem responses to soil erosion and deposition remain largely unclear in regard to microorganisms, which are the crucial drivers of biogeochemical cycles. Using integrated metagenomics technologies, we analysed microbial communities subjected to simulated soil erosion and deposition in a semiarid grassland of Inner Mongolia, China. As expected, soil total organic carbon and plant coverage were decreased by soil erosion, and soil dissolved organic carbon (DOC) was increased by soil deposition, showing that field simulation was reliable. Soil microbial communities were altered ( p < .039) by both soil erosion and deposition, with dramatic increase in Cyanobacteria related to increased stability in soil aggregates. amyA genes encoding α-amylases were specifically increased ( p = .01) by soil deposition and positively correlated ( p = .02) to DOC, which likely explained changes in DOC. Surprisingly, most of microbial functional genes associated with carbon, nitrogen, phosphorus and potassium cycling were decreased or unaltered by both erosion and deposition, probably arising from acceleration of organic matter mineralization. These divergent responses support the necessity to include microbial components in evaluating ecological consequences. Moreover, Mantel tests showed strong, significant correlations between soil nutrients and functional structuremore » but not taxonomic structure, demonstrating close relevance of microbial function traits to nutrient cycling.« less

Authors:
 [1];  [2];  [1];  [2];  [1];  [3];  [3];  [3];  [2];  [4]; ORCiD logo [1]
  1. Tsinghua Univ., Beijing (China)
  2. Henan Univ., Kaifeng (China)
  3. Univ. of Oklahoma, Norman, OK (United States)
  4. Tsinghua Univ., Beijing (China); Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Key Basic Research Program of China; Strategic Priority Research Program of the Chinese Academy of Sciences; National Science Foundation of China (NSFC); Ministry of Science and Technology of China; Collaborative Innovation Center for Regional Environmental Quality
OSTI Identifier:
1567091
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Molecular Ecology
Additional Journal Information:
Journal Volume: 26; Journal Issue: 16; Journal ID: ISSN 0962-1083
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 16S rRNA sequencing; functional traits; geochip 5.0; microbial community; soil deposition; wind erosion

Citation Formats

Ma, Xingyu, Zhao, Cancan, Gao, Ying, Liu, Bin, Wang, Tengxu, Yuan, Tong, Hale, Lauren, Nostrand, Joy D. Van, Wan, Shiqiang, Zhou, Jizhong, and Yang, Yunfeng. Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition. United States: N. p., 2017. Web. doi:10.1111/mec.14194.
Ma, Xingyu, Zhao, Cancan, Gao, Ying, Liu, Bin, Wang, Tengxu, Yuan, Tong, Hale, Lauren, Nostrand, Joy D. Van, Wan, Shiqiang, Zhou, Jizhong, & Yang, Yunfeng. Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition. United States. doi:10.1111/mec.14194.
Ma, Xingyu, Zhao, Cancan, Gao, Ying, Liu, Bin, Wang, Tengxu, Yuan, Tong, Hale, Lauren, Nostrand, Joy D. Van, Wan, Shiqiang, Zhou, Jizhong, and Yang, Yunfeng. Thu . "Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition". United States. doi:10.1111/mec.14194. https://www.osti.gov/servlets/purl/1567091.
@article{osti_1567091,
title = {Divergent taxonomic and functional responses of microbial communities to field simulation of aeolian soil erosion and deposition},
author = {Ma, Xingyu and Zhao, Cancan and Gao, Ying and Liu, Bin and Wang, Tengxu and Yuan, Tong and Hale, Lauren and Nostrand, Joy D. Van and Wan, Shiqiang and Zhou, Jizhong and Yang, Yunfeng},
abstractNote = {Aeolian soil erosion and deposition have worldwide impacts on agriculture, air quality and public health. Yet, ecosystem responses to soil erosion and deposition remain largely unclear in regard to microorganisms, which are the crucial drivers of biogeochemical cycles. Using integrated metagenomics technologies, we analysed microbial communities subjected to simulated soil erosion and deposition in a semiarid grassland of Inner Mongolia, China. As expected, soil total organic carbon and plant coverage were decreased by soil erosion, and soil dissolved organic carbon (DOC) was increased by soil deposition, showing that field simulation was reliable. Soil microbial communities were altered (p < .039) by both soil erosion and deposition, with dramatic increase in Cyanobacteria related to increased stability in soil aggregates. amyA genes encoding α-amylases were specifically increased (p = .01) by soil deposition and positively correlated (p = .02) to DOC, which likely explained changes in DOC. Surprisingly, most of microbial functional genes associated with carbon, nitrogen, phosphorus and potassium cycling were decreased or unaltered by both erosion and deposition, probably arising from acceleration of organic matter mineralization. These divergent responses support the necessity to include microbial components in evaluating ecological consequences. Moreover, Mantel tests showed strong, significant correlations between soil nutrients and functional structure but not taxonomic structure, demonstrating close relevance of microbial function traits to nutrient cycling.},
doi = {10.1111/mec.14194},
journal = {Molecular Ecology},
number = 16,
volume = 26,
place = {United States},
year = {2017},
month = {6}
}

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