Journal of Integrative Agriculture ›› 2022, Vol. 21 ›› Issue (7): 2145-2157.DOI: 10.1016/S2095-3119(21)63772-3

所属专题: 农业生态环境-土壤微生物合辑Agro-ecosystem & Environment—Soil microbe

• • 上一篇    

JIA-2021-0475 土壤理化性质、种植模式和地理位置对中国4个玉米主产区土壤原核生物群落的影响

  

  • 收稿日期:2021-03-18 接受日期:2021-05-19 出版日期:2022-07-01 发布日期:2021-05-19

The effects of soil properties, cropping systems and geographic location on soil prokaryotic communities in four maize production regions across China 

TIAN Xue-liang1, 2*, LIU Jia-jia3*, LIU Quan-cheng1, XIA Xin-yao1, 3, PENG Yong4, Alejandra I. HUERTA5, YAN Jian-bing4, LI Hui3, LIU Wen-de1   

  1. 1 State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.China
    2 Henan Engineering Research Center of Biological Pesticide & Fertilizer Development and Synergistic Application, Henan Institute of Science and Technology, Xinxiang 453003, P.R.China
    3 School of Biological Science and Technology, University of Jinan, Jinan 250022, P.R.China
    4 National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, P.R.China
    5 Department of Entomology and Plant Pathology, North Carolina State University, Raleigh 27606, USA
  • Received:2021-03-18 Accepted:2021-05-19 Online:2022-07-01 Published:2021-05-19
  • About author:TIAN Xue-liang, E-mail: tianxueliang1978@163.com; LIU Jia-jia, E-mail: jjl1223@126.com; Correspondence LI Hui, Tel: +86-531-82765807, E-mail: bio_lih@ujn.edu.cn; LIU Wen-de, Tel: +86-10-62815921, E-mail: liuwende@caas.cn * These authors contributed equally to this study.
  • Supported by:
    This research was supported by the National Program for Support of Top-notch Young Professionals, China, the Open Research Fund of State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences (SKLQF201508) and the Project of Plant Protection Key Discipline of Henan Province, China.  

摘要:

我们利用宏基因组技术研究了玉米种植模式、土壤性质和地理位置对中国4个玉米主产区土壤原核生物群落的影响。在本研究所有土壤样品中,α-变形菌纲、γ-变形菌纲、β-变形菌纲、芽单胞菌纲、酸杆菌纲和放线菌纲是共同优势原核生物类群。非度量多维尺度法分析发现,原核生物群落划分4个组,且与4个玉米种植区相吻合。冗余分析表明,土壤性质(尤其是pH)、地理位置和种植模式共同影响土壤原核生物群落多样性,而地理位置(纬度)、pH和种植模式影响土壤原核生物功能基因。4个玉米生产区土壤原核生物某些代谢途径中的功能基因丰度差异显著,如微生物-微生物相互作用、芳香化合物降解、原核生物固碳途径和微生物在不同环境中代谢等。总之,土壤pH、种植制度和地理位置三者共同影响了我国4个玉米主产区土壤原核生物群落和功能基因。研究结果有助于深入了解大尺度农业生态系统中土壤原核生物群落的组成和基因功能。


Abstract: The diversity of prokaryotic communities in soil is shaped by both biotic and abiotic factors.  However, little is known about the major factors shaping soil prokaryotic communities at a large scale in agroecosystems.  To this end, we undertook a study to investigate the impact of maize production cropping systems, soil properties and geographic location (latitude and longitude) on soil prokaryotic communities using metagenomic techniques, across four distinct maize production regions in China.  Across all study sites, the dominant prokaryotes in soil were Alphaproteobacteria, Gammaproteobacteria, Betaproteobacteria, Gemmatimonadetes, Acidobacteria, and Actinobacteria.  Non-metric multidimensional scaling revealed that prokaryotic communities clustered into the respective maize cropping systems in which they resided.  Redundancy analysis (RDA) showed that soil properties especially pH, geographic location and cropping system jointly determined the diversity of the prokaryotic communities.  The functional genes of soil prokaryotes from these samples were chiefly influenced by latitude, soil pH and cropping system, as revealed by RDA analysis.  The abundance of genes in some metabolic pathways, such as genes involved in microbe–microbe interactions, degradation of aromatic compounds, carbon fixation pathways in prokaryotes and microbial metabolism were markedly different across the four maize production regions.  Our study indicated that the combination of soil pH, cropping system and geographic location significantly influenced the prokaryotic community and the functional genes of these microbes.  This work contributes to a deeper understanding of the composition and function of the soil prokaryotic community across large-scale production systems such as maize.


Key words: metagenome ,  cropping system ,  maize ,  soil prokaryotes