IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i4p1266-d321320.html
   My bibliography  Save this article

Rhizosphere Bacterial Community Structure and Predicted Functional Analysis in the Water-Level Fluctuation Zone of the Danjiangkou Reservoir in China During the Dry Period

Author

Listed:
  • Zhao-Jin Chen

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

  • Yang Shao

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

  • Ying-Jun Li

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

  • Li-An Lin

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

  • Yan Chen

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

  • Wei Tian

    (Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China)

  • Bai-Lian Li

    (Ecological Complexity and Modelling Laboratory, Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA)

  • Yu-Ying Li

    (Innovation Center of Water Security for Water Source Region of Mid-route Project of South-North Water Diversion of Henan Province, School of Agricultural Engineering, Nanyang Normal University, Nanyang 473061, China)

Abstract

The water-level fluctuation zone (WLFZ) is a transitional zone between terrestrial and aquatic ecosystems. Plant communities that are constructed artificially in the WLFZ can absorb and retain nutrients such as nitrogen (N) and phosphorus (P). However, the microbial community composition and function associated with this process have not been elucidated. In this study, four artificially constructed plant communities, including those of herbs ( Cynodon dactylon and Chrysopogon zizanioides ), trees ( Metasequoia glyptostroboides ), and shrubs ( Salix matsudana ) from the newly formed WLFZ of the Danjiangkou Reservoir were evaluated. The bacterial community compositions were analyzed by 16S rRNA gene sequencing using a MiSeq platform, and the functions of these communities were assessed via Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) analysis. The results showed that the bacterial communities primarily comprised 362 genera from 24 phyla, such as Proteobacteria, Acidobacteria, Actinobacteria, and Gemmatimonadetes, showing the richness of the community composition. Planting altered the bacterial community composition, with varying effects observed among the different plant types. The bacterial community functional analysis revealed that these bacteria were primarily associated with six biological metabolic pathway categories (e.g., metabolism, genetic information processing, and environmental information processing) with 34 subfunctions, showing the richness of community functions. The planting of M. glyptostroboides , S. matsudana , and C. dactylon improved the metabolic capabilities of bacterial communities. N- and P-cycling gene analysis showed that planting altered the N- and P-cycling metabolic capacities of soil bacteria. The overall N- and P-metabolic capacity was highly similar between C. dactylon and C. zizanioides samples and between S. matsudana and M. glyptostroboides samples. The results of this study provide a preliminary analysis of soil bacterial community structure and function in the WLFZ of the Danjiangkou Reservoir and provides a reference for vegetation construction in this zone.

Suggested Citation

  • Zhao-Jin Chen & Yang Shao & Ying-Jun Li & Li-An Lin & Yan Chen & Wei Tian & Bai-Lian Li & Yu-Ying Li, 2020. "Rhizosphere Bacterial Community Structure and Predicted Functional Analysis in the Water-Level Fluctuation Zone of the Danjiangkou Reservoir in China During the Dry Period," IJERPH, MDPI, vol. 17(4), pages 1-18, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1266-:d:321320
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/4/1266/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/4/1266/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jie Yin & Hai Liu & Xiaoling Chen, 2018. "Dynamic Change in the Water-Level Fluctuation Zone of the Danjiangkou Reservoir and Its Influence on Water Quality," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    2. Wankun Deng & Yongbo Wang & Zexian Liu & Han Cheng & Yu Xue, 2014. "HemI: A Toolkit for Illustrating Heatmaps," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-5, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei Cai & Huiyu Li & Xin Wen & Huang Huang & Guwang Chen & Haomiao Cheng & Hainan Wu & Zhe Piao, 2022. "Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods," IJERPH, MDPI, vol. 19(21), pages 1-18, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huilan Zhang & Piaopiao Liang & Ying Liu & Xinglei Wang & Yahong Bai & Yunxin Xing & Chunli Wei & Yuanyuan Li & Yiming Liu & Yu Hu, 2022. "Spatial Distributions and Intrinsic Influence Analysis of Cr, Ni, Cu, Zn, As, Cd and Pb in Sediments from the Wuliangsuhai Wetland, China," IJERPH, MDPI, vol. 19(17), pages 1-16, August.
    2. Tieshuai Du & Zebin Lin & Yaling Xie & Xing Ye & Chunyan Tu & Kaidi Jin & Jianhui Xie & Yiwen Shen, 2018. "Metabolic profiling of femoral muscle from rats at different periods of time after death," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    3. Ya-Ling Yang & Hsiao-Ling Yang & S. Pamela K. Shiao, 2018. "Meta-Prediction of MTHFR Gene Polymorphisms and Air Pollution on the Risk of Hypertensive Disorders in Pregnancy Worldwide," IJERPH, MDPI, vol. 15(2), pages 1-14, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1266-:d:321320. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.