Microbial responses to southward and northward Cambisol soil transplant
Abstract
© 2015 Published by John Wiley & Sons Ltd. Soil transplant serves as a proxy to simulate climate changes. Recently, we have shown that southward transplant of black soil and northward transplant of red soil altered soil microbial communities and biogeochemical variables. However, fundamental differences in soil types have prevented direct comparison between southward and northward transplants. To tackle it, herein we report an analysis of microbial communities of Cambisol soil in an agriculture field after 4 years of adaptation to southward and northward soil transplants over large transects. Analysis of bare fallow soils revealed concurrent increase in microbial functional diversity and coarse-scale taxonomic diversity at both transplanted sites, as detected by GeoChip 3.0 and DGGE, respectively. Furthermore, a correlation between microbial functional diversity and taxonomic diversity was detected, which was masked in maize cropped soils. Mean annual temperature, soil moisture, and nitrate (NO 3 --N) showed strong correlations with microbial communities. In addition, abundances of ammonium-oxidizing genes (amoA) and denitrification genes were correlated with nitrification capacity and NO 3 --N contents, suggesting that microbial responses to soil transplant could alter microbe-mediated biogeochemical cycle at the ecosystem level. This study proved that microbial responses to southward and northward soil transplantsmore »
- Authors:
-
- State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China, Collaborative Innovation Center for Regional Environmental Quality Tsinghua University Beijing 100084 China
- State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China
- State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 China, Ningbo Academy of Agricultural Sciences Ningbo 315040 China
- State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 China
- State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China, Collaborative Innovation Center for Regional Environmental Quality Tsinghua University Beijing 100084 China, Institute for Environmental Genomics and Department Microbiology and Plant Science University of Oklahoma Norman Oklahoma 73019, Earth Sciences Division Lawrence Berkeley National Laboratory Berkeley California 94720
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1224369
- Alternate Identifier(s):
- OSTI ID: 1224370; OSTI ID: 1257344; OSTI ID: 1378669
- Grant/Contract Number:
- DE‐SC0004601; SC0004601; EF-1065844; 2013CB956601; 2012AA061401; 41171201; 41471202; 41271258; 41430856; XDB15030200; AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- MicrobiologyOpen
- Additional Journal Information:
- Journal Name: MicrobiologyOpen Journal Volume: 4 Journal Issue: 6; Journal ID: ISSN 2045-8827
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Cambisol soil; microbial diversity; microbial functional potential; soil transplant
Citation Formats
Wang, Mengmeng, Liu, Shanshan, Wang, Feng, Sun, Bo, Zhou, Jizhong, and Yang, Yunfeng. Microbial responses to southward and northward Cambisol soil transplant. United Kingdom: N. p., 2015.
Web. doi:10.1002/mbo3.302.
Wang, Mengmeng, Liu, Shanshan, Wang, Feng, Sun, Bo, Zhou, Jizhong, & Yang, Yunfeng. Microbial responses to southward and northward Cambisol soil transplant. United Kingdom. https://doi.org/10.1002/mbo3.302
Wang, Mengmeng, Liu, Shanshan, Wang, Feng, Sun, Bo, Zhou, Jizhong, and Yang, Yunfeng. Mon .
"Microbial responses to southward and northward Cambisol soil transplant". United Kingdom. https://doi.org/10.1002/mbo3.302.
@article{osti_1224369,
title = {Microbial responses to southward and northward Cambisol soil transplant},
author = {Wang, Mengmeng and Liu, Shanshan and Wang, Feng and Sun, Bo and Zhou, Jizhong and Yang, Yunfeng},
abstractNote = {© 2015 Published by John Wiley & Sons Ltd. Soil transplant serves as a proxy to simulate climate changes. Recently, we have shown that southward transplant of black soil and northward transplant of red soil altered soil microbial communities and biogeochemical variables. However, fundamental differences in soil types have prevented direct comparison between southward and northward transplants. To tackle it, herein we report an analysis of microbial communities of Cambisol soil in an agriculture field after 4 years of adaptation to southward and northward soil transplants over large transects. Analysis of bare fallow soils revealed concurrent increase in microbial functional diversity and coarse-scale taxonomic diversity at both transplanted sites, as detected by GeoChip 3.0 and DGGE, respectively. Furthermore, a correlation between microbial functional diversity and taxonomic diversity was detected, which was masked in maize cropped soils. Mean annual temperature, soil moisture, and nitrate (NO 3 --N) showed strong correlations with microbial communities. In addition, abundances of ammonium-oxidizing genes (amoA) and denitrification genes were correlated with nitrification capacity and NO 3 --N contents, suggesting that microbial responses to soil transplant could alter microbe-mediated biogeochemical cycle at the ecosystem level. This study proved that microbial responses to southward and northward soil transplants were asymmetric. Microbial responses at the community level to soil transplant can result in altered ecosystem-level biogeochemical cycle.},
doi = {10.1002/mbo3.302},
journal = {MicrobiologyOpen},
number = 6,
volume = 4,
place = {United Kingdom},
year = {Mon Oct 26 00:00:00 EDT 2015},
month = {Mon Oct 26 00:00:00 EDT 2015}
}
https://doi.org/10.1002/mbo3.302
Web of Science
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