Literature DB >> 27643917

Insight into the effects of different cropping systems on soil bacterial community and tobacco bacterial wilt rate.

Jiaojiao Niu1,2, Jin Chao3,4, Yunhua Xiao1,2, Wu Chen3, Chao Zhang3, Xueduan Liu1,2, Zhongwen Rang3, Huaqun Yin1,2, Linjian Dai3.   

Abstract

Rotation is an effective strategy to control crop disease and improve plant health. However, the effects of crop rotation on soil bacterial community composition and structure, and crop health remain unclear. In this study, using 16S rRNA gene sequencing, we explored the soil bacterial communities under four different cropping systems, continuous tobacco cropping (control group), tobacco-maize rotation, tobacco-lily rotation, and tobacco-turnip rotation. Results of detrended correspondence analysis and dissimilarity tests showed that soil bacterial community composition and structure changed significantly among the four groups, such that Acidobacteria and Actinobacteria were more abundant in the maize rotation group (16.6 and 11.5%, respectively) than in the control (8.5 and 7.1%, respectively). Compared with the control group (57.78%), maize and lily were effective rotation crops in controlling tobacco bacterial wilt (about 23.54 and 48.67%). On the other hand, tobacco bacterial wilt rate was increased in the turnip rotation (59.62%) relative to the control. Further study revealed that the abundances of several bacterial populations were directly correlated with tobacco bacterial wilt. For example, Acidobacteria and Actinobacteria were significantly negatively correlated to the tobacco bacterial wilt rate, so they may be probiotic bacteria. Canonical correspondence analysis showed that soil pH and calcium content were key factors in determining soil bacterial communities. In conclusion, our study revealed the composition and structure of bacterial communities under four different cropping systems and may unveil molecular mechanisms for the interactions between soil microorganisms and crop health.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  16S rRNA gene sequencing; Crop rotation; Soil bacterial communities; Tobacco bacterial wilt rate

Mesh:

Substances:

Year:  2016        PMID: 27643917     DOI: 10.1002/jobm.201600222

Source DB:  PubMed          Journal:  J Basic Microbiol        ISSN: 0233-111X            Impact factor:   2.281


  12 in total

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3.  Characterization of the belowground microbial community and co-occurrence networks of tobacco plants infected with bacterial wilt disease.

Authors:  Haiting Wang; Chuanfa Wu; Haoqing Zhang; Mouliang Xiao; Tida Ge; Zhicheng Zhou; Yongjun Liu; Shuguang Peng; Peiqin Peng; Jianping Chen
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4.  Unraveling the expression of differentially expressed proteins and enzymatic activity in response to Phytophthora nicotianae across different flue-cured tobacco cultivars.

Authors:  Ruifang Song; Yujiao Tan; Waqar Ahmed; Guisu Zhou; Zhengxiong Zhao
Journal:  BMC Microbiol       Date:  2022-04-23       Impact factor: 4.465

5.  The succession pattern of soil microbial communities and its relationship with tobacco bacterial wilt.

Authors:  Jiaojiao Niu; Zhongwen Rang; Chao Zhang; Wu Chen; Feng Tian; Huaqun Yin; Linjian Dai
Journal:  BMC Microbiol       Date:  2016-10-06       Impact factor: 3.605

6.  Effects of Cultured Root and Soil Microbial Communities on the Disease of Nicotiana tabacum Caused by Phytophthora nicotianae.

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7.  Distribution patterns of Acidobacteriota in different fynbos soils.

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9.  An Integrated Insight into the Relationship between Soil Microbial Community and Tobacco Bacterial Wilt Disease.

Authors:  Hongwu Yang; Juan Li; Yunhua Xiao; Yabing Gu; Hongwei Liu; Yili Liang; Xueduan Liu; Jin Hu; Delong Meng; Huaqun Yin
Journal:  Front Microbiol       Date:  2017-11-07       Impact factor: 5.640

10.  Disruption of Firmicutes and Actinobacteria abundance in tomato rhizosphere causes the incidence of bacterial wilt disease.

Authors:  Sang-Moo Lee; Hyun Gi Kong; Geun Cheol Song; Choong-Min Ryu
Journal:  ISME J       Date:  2020-10-07       Impact factor: 10.302

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