Literature DB >> 29582350

Root microbiota shift in rice correlates with resident time in the field and developmental stage.

Jingying Zhang1,2, Na Zhang1,2,3, Yong-Xin Liu1,2, Xiaoning Zhang1,2,3, Bin Hu1, Yuan Qin1,2,3, Haoran Xu1,2,3, Hui Wang1,2,3, Xiaoxuan Guo1,2, Jingmei Qian1,2,3, Wei Wang1, Pengfan Zhang4,5, Tao Jin6,7, Chengcai Chu8, Yang Bai9,10.   

Abstract

Land plants in natural soil form intimate relationships with the diverse root bacterial microbiota. A growing body of evidence shows that these microbes are important for plant growth and health. Root microbiota composition has been widely studied in several model plants and crops; however, little is known about how root microbiota vary throughout the plant's life cycle under field conditions. We performed longitudinal dense sampling in field trials to track the time-series shift of the root microbiota from two representative rice cultivars in two separate locations in China. We found that the rice root microbiota varied dramatically during the vegetative stages and stabilized from the beginning of the reproductive stage, after which the root microbiota underwent relatively minor changes until rice ripening. Notably, both rice genotype and geographical location influenced the patterns of root microbiota shift that occurred during plant growth. The relative abundance of Deltaproteobacteria in roots significantly increased overtime throughout the entire life cycle of rice, while that of Betaproteobacteria, Firmicutes, and Gammaproteobacteria decreased. By a machine learning approach, we identified biomarker taxa and established a model to correlate root microbiota with rice resident time in the field (e.g., Nitrospira accumulated from 5 weeks/tillering in field-grown rice). Our work provides insights into the process of rice root microbiota establishment.

Entities:  

Keywords:  biomarker taxa; developmental stages; machine learning; modeling; residence time in the field; rice; root microbiota; time-series shift

Mesh:

Substances:

Year:  2018        PMID: 29582350     DOI: 10.1007/s11427-018-9284-4

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  30 in total

1.  High-throughput cultivation and identification of bacteria from the plant root microbiota.

Authors:  Jingying Zhang; Yong-Xin Liu; Xiaoxuan Guo; Yuan Qin; Ruben Garrido-Oter; Paul Schulze-Lefert; Yang Bai
Journal:  Nat Protoc       Date:  2021-01-13       Impact factor: 13.491

2.  Community dynamics in rhizosphere microorganisms at different development stages of wheat growing in confined isolation environments.

Authors:  Zheng Ma; Zhihao Yi; Kaanuru Bayar; Yuming Fu; Hong Liu
Journal:  Appl Microbiol Biotechnol       Date:  2021-04-29       Impact factor: 4.813

3.  Contrasting Patterns in Diversity and Community Assembly of Phragmites australis Root-Associated Bacterial Communities from Different Seasons.

Authors:  Rujia He; Jin Zeng; Dayong Zhao; Rui Huang; Zhongbo Yu; Qinglong L Wu
Journal:  Appl Environ Microbiol       Date:  2020-07-02       Impact factor: 4.792

4.  Synergistic Impacts of Arsenic and Antimony Co-contamination on Diazotrophic Communities.

Authors:  Yongbin Li; Hanzhi Lin; Pin Gao; Nie Yang; Rui Xu; Xiaoxu Sun; Baoqin Li; Fuqing Xu; Xiaoyu Wang; Benru Song; Weimin Sun
Journal:  Microb Ecol       Date:  2021-08-16       Impact factor: 4.552

5.  Bio-fertilizer Amendment Alleviates the Replanting Disease under Consecutive Monoculture Regimes by Reshaping Leaf and Root Microbiome.

Authors:  Hongmiao Wu; Zhen Zhang; Juanying Wang; Xianjin Qin; Jun Chen; Linkun Wu; Sheng Lin; Christopher Rensing; Wenxiong Lin
Journal:  Microb Ecol       Date:  2021-09-23       Impact factor: 4.192

6.  Long-Term Organic-Inorganic Fertilization Regimes Alter Bacterial and Fungal Communities and Rice Yields in Paddy Soil.

Authors:  Tengfei Ma; Xiaohui He; Shanguo Chen; Yujia Li; Qiwei Huang; Chao Xue; Qirong Shen
Journal:  Front Microbiol       Date:  2022-06-27       Impact factor: 6.064

7.  Soil potassium is correlated with root secondary metabolites and root-associated core bacteria in licorice of different ages.

Authors:  Yang Liu; Yanmei Li; Wen Luo; Shuang Liu; Weimin Chen; Chun Chen; Shuo Jiao; Gehong Wei
Journal:  Plant Soil       Date:  2020-09-03       Impact factor: 4.192

8.  Increasing methane (CH4) emissions and altering rhizosphere microbial diversity in paddy soil by combining Chinese milk vetch and rice straw.

Authors:  Qiaoying Ma; Jiwei Li; Muhammad Aamer; Guoqin Huang
Journal:  PeerJ       Date:  2020-08-03       Impact factor: 2.984

9.  Gut Microbiome Succession in Chinese Mitten Crab Eriocheir sinensis During Seawater-Freshwater Migration.

Authors:  Chenxi Shao; Wenqian Zhao; Nannan Li; Yinkang Li; Huiming Zhang; Jingjing Li; Zhiqiang Xu; Jianjun Wang; Tianheng Gao
Journal:  Front Microbiol       Date:  2022-03-30       Impact factor: 5.640

Review 10.  A practical guide to amplicon and metagenomic analysis of microbiome data.

Authors:  Yong-Xin Liu; Yuan Qin; Tong Chen; Meiping Lu; Xubo Qian; Xiaoxuan Guo; Yang Bai
Journal:  Protein Cell       Date:  2020-05-11       Impact factor: 14.870

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