IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i5p2826-d511598.html
   My bibliography  Save this article

Genome-Wide Analysis of the Trihelix Gene Family and Their Response to Cold Stress in Dendrobium officinale

Author

Listed:
  • Yan Tong

    (Bio-Innovation Center of DR PLANT, Key Laboratory of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
    These authors contributed equally to this work.)

  • Hui Huang

    (Bio-Innovation Center of DR PLANT, Key Laboratory of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
    These authors contributed equally to this work.)

  • YuHua Wang

    (Bio-Innovation Center of DR PLANT, Key Laboratory of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China)

Abstract

Trihelix transcription factors play important roles in plant growth, development and various stress responses. In this study, we identified 32 trihelix family genes ( DoGT ) in the important Chinese medicinal plant Dendrobium officinale . These trihelix genes could be classified into five different subgroups. The gene structure and conserved functional domain of these trihelix genes were similar in the same subfamily but diverged between different subfamilies. Various stresses responsive cis -elements presented in the promoters of DoGT genes, suggesting that the trihelix genes might respond to the environmental stresses. Expressional changes of DoGT genes in three tissues and under cold treatment suggested that trihelix genes were involved in diverse functions during D. officinale development and cold tolerance. This study provides novel insights into the phylogenetic relationships and functions of the D. officinale trihelix genes, which will aid future functional studies investigating the divergent roles of trihelix genes belonging to other species.

Suggested Citation

  • Yan Tong & Hui Huang & YuHua Wang, 2021. "Genome-Wide Analysis of the Trihelix Gene Family and Their Response to Cold Stress in Dendrobium officinale," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2826-:d:511598
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/5/2826/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/5/2826/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kuo-Chen Chou & Hong-Bin Shen, 2010. "Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-11, June.
    Full references (including those not matched with items on IDEAS)

    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. Bi-Qing Li & Le-Le Hu & Lei Chen & Kai-Yan Feng & Yu-Dong Cai & Kuo-Chen Chou, 2012. "Prediction of Protein Domain with mRMR Feature Selection and Analysis," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-14, June.
    2. Xiao Wang & Guo-Zheng Li, 2012. "A Multi-Label Predictor for Identifying the Subcellular Locations of Singleplex and Multiplex Eukaryotic Proteins," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    3. Lili Liu & Zijun Zhang & Qian Mei & Ming Chen, 2013. "PSI: A Comprehensive and Integrative Approach for Accurate Plant Subcellular Localization Prediction," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-9, October.
    4. Xuan Xiao & Zhi-Cheng Wu & Kuo-Chen Chou, 2011. "A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-10, June.
    5. Junzhe Cao & Wenqi Liu & Jianjun He & Hong Gu, 2013. "Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-9, June.
    6. Shibiao Wan & Man-Wai Mak & Sun-Yuan Kung, 2014. "HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-12, March.
    7. Le-Le Hu & Tao Huang & Yu-Dong Cai & Kuo-Chen Chou, 2011. "Prediction of Body Fluids where Proteins are Secreted into Based on Protein Interaction Network," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-8, July.

    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:jsusta:v:13:y:2021:i:5:p:2826-:d:511598. 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.