Soil bacterial community response to long-term land use conversion in Yellow River Delta
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Soil bacterial community response to long-term land use conversion in Yellow River Delta. / He, Huan; Miao, Yongjun; Gan, Yandong; Wei, Shaodong; Tan, Shangjin; Rask, Klara Andrés; Wang, Lihong; Dai, Jiulan; Chen, Weifeng; Ekelund, Flemming.
In: Applied Soil Ecology, Vol. 156, 103709, 2020.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Soil bacterial community response to long-term land use conversion in Yellow River Delta
AU - He, Huan
AU - Miao, Yongjun
AU - Gan, Yandong
AU - Wei, Shaodong
AU - Tan, Shangjin
AU - Rask, Klara Andrés
AU - Wang, Lihong
AU - Dai, Jiulan
AU - Chen, Weifeng
AU - Ekelund, Flemming
PY - 2020
Y1 - 2020
N2 - Yellow River Delta undergoes intensive conversion from natural wetland to agricultural fields and artificial woodland. In this study, we analysed how the conversion affects bacterial community diversity and composition by Illumina Miseq sequencing combined with functional prediction. Compared to natural wetland, arable land and woodland were featured with higher soil organic matter, total nitrogen and bacterial diversity, but lower electrical conductivity. The bacteria Gemmatimonadetes related to soil organic matter and total nitrogen, was enriched in arable land, while salt-resistant bacteria (e.g. phylum Chloroflexi and its class Ardenticatenia) were abundant in natural wetland. Moreover, the relative abundances of the nitrifying bacteria Nitrospira and Nitrosospira were significantly higher in arable land and woodland than in natural wetland, suggesting that land use changes significantly affect the bacterial processes involved in nitrogen cycling. Redundancy analysis (RDA) showed that the differences in bacterial community were attributed to soil nutrient-related properties (i.e., total nitrogen and soil organic matter), soil salinity (i.e., electrical conductivity), and heavy metals (i.e. Cu and Cr). PICRUSt results revealed that land use conversion from natural wetland to arable land increased soil functions, e.g., biosynthesis process and oxidative phosphorylation. The data help us elucidate how land use changes affect terrestrial ecosystem function, and advise local farmers to apply the suitable land-use strategies and keep agricultural sustainable development.
AB - Yellow River Delta undergoes intensive conversion from natural wetland to agricultural fields and artificial woodland. In this study, we analysed how the conversion affects bacterial community diversity and composition by Illumina Miseq sequencing combined with functional prediction. Compared to natural wetland, arable land and woodland were featured with higher soil organic matter, total nitrogen and bacterial diversity, but lower electrical conductivity. The bacteria Gemmatimonadetes related to soil organic matter and total nitrogen, was enriched in arable land, while salt-resistant bacteria (e.g. phylum Chloroflexi and its class Ardenticatenia) were abundant in natural wetland. Moreover, the relative abundances of the nitrifying bacteria Nitrospira and Nitrosospira were significantly higher in arable land and woodland than in natural wetland, suggesting that land use changes significantly affect the bacterial processes involved in nitrogen cycling. Redundancy analysis (RDA) showed that the differences in bacterial community were attributed to soil nutrient-related properties (i.e., total nitrogen and soil organic matter), soil salinity (i.e., electrical conductivity), and heavy metals (i.e. Cu and Cr). PICRUSt results revealed that land use conversion from natural wetland to arable land increased soil functions, e.g., biosynthesis process and oxidative phosphorylation. The data help us elucidate how land use changes affect terrestrial ecosystem function, and advise local farmers to apply the suitable land-use strategies and keep agricultural sustainable development.
KW - Land use conversion
KW - Soil bacterial communities
KW - High-throughput sequencing
KW - PICRUSt
KW - HEAVY-METAL CONTAMINATION
KW - MICROBIAL COMMUNITIES
KW - CARBON SEQUESTRATION
KW - DIVERSITY
KW - YANGTZE
KW - GENES
U2 - 10.1016/j.apsoil.2020.103709
DO - 10.1016/j.apsoil.2020.103709
M3 - Journal article
VL - 156
JO - Agro-Ecosystems
JF - Agro-Ecosystems
SN - 0167-8809
M1 - 103709
ER -
ID: 248501644