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作 者:Yu Shi Yuntao Li Meiqing Yuan Jonathan M.Adams Xianzhang Pan Yunfeng Yang Haiyan Chu
机构地区:[1]State Key Laboratory of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Sciences,Nanjing 210008,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Key Laboratory of Forensic Genetics of Ministry of Public Security,Institute of Forensic Science of Ministry of Public Security,Beijing 100038,China [4]School of Water,Energy and Environment,Cranfield University,Cranfield MK460AL,UK [5]State Key Laboratory of Environment Simulation and Pollution Control,School of Environment,Tsinghua University,Beijing 100084,China
出 处:《Soil Ecology Letters》2019年第1期50-58,共9页土壤生态学快报(英文)
基 金:supported by the Strategic Priority Research Program(XDB15010101)of the Chinese Academy of Sciences;the National Key Research and Development Program of China(2017YFD0200604,2017YFC0803803);the“135”Plan and Frontiers Projects of Institute of Soil Science(ISSASIP1641);The collaborative innovation project from the Forensic Appraisal Center of The ministry of Public Security of the People’s Republic of China(2016XTCX02);the China Biodiversity Observation Networks(Sino BON).
摘 要:The vast diversity of soil bacteria provides essential ecosystem services that support agricultural production.Variation in the diversity and composition of soil biota may have predictive values for soil nutrient cycling and resilience of ecosystem services,thus providing valuable insights to improve food production.The North China Plain(NCP)is one of the world’s key agricultural regions,supplying more than 50% of the cereal consumed in Asia.However,it is unknown whether soil microbial diversity is predictable across the NCP.Using the MiSeq Illumina platform,we examined bacterial community variation in relation to spatial and environmental factors from 243 soils in wheat-maize double cropping rotation fields across the NCP,which cover nearly 0.3 million km^(2).Based on observed bacterial communities and their relationships with environmental factors,we generated a map of bacterial communities across the NCP.The highest bacterial diversity was found in the middle part of the NCP,with most of the variation in diversity attributable to differences in the community similarity of Actinobacteria and Alphaproteobacteria.These findings provide important baseline information for analyzing the relationships between microbial community,soil functionality and crop yields.
关 键 词:Predicting map Bacteria diversity ACTINOBACTERIA ALPHAPROTEOBACTERIA
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