Literature DB >> 33025081

Interactions and links among the noncoding RNAs in plants under stresses.

Xiaoxu Zhou1, Jun Cui1, Jun Meng2, Yushi Luan3.   

Abstract

KEY MESSAGE: The complex interplay among sRNAs, lncRNAs and circRNAs has been implicated in plants under biotic and abiotic stresses. Here, we review current advances in our understanding of ncRNA interactions and links, which have considerable potential for improving the agronomic traits and the environmental adaptability of plants. Plants can respond to biotic or abiotic stresses. To cope with various conditions, numerous intricate molecular regulatory mechanisms have evolved in plants. Noncoding RNAs (ncRNAs) can be divided into small noncoding RNAs (sRNAs), long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs). Emerging evidence has demonstrated that interplay among the ncRNAs acts as a novel layer in the regulatory mechanisms, which has attracted substantial interest. Links between sRNAs can affect plant immune responses and development in synergistic or antagonistic manners. Additionally, multiple interactions between lncRNAs and sRNAs are involved in crop breeding, disease resistance and high tolerance to environmental stresses. Here, we summarize current knowledge of the interactions and links among the ncRNAs in plant responses to stresses and the methods for identifying ncRNA interactions. Furthermore, challenges and prospects for further progress in elucidating ncRNA interactions and links are highlighted.

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Year:  2020        PMID: 33025081     DOI: 10.1007/s00122-020-03690-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  8 in total

1.  Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction.

Authors:  Qiang Kang; Jun Meng; Wenhao Shi; Yushi Luan
Journal:  Interdiscip Sci       Date:  2021-04-26       Impact factor: 2.233

2.  PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network.

Authors:  Lin Chen; Zhan-Li Sun
Journal:  Interdiscip Sci       Date:  2022-10-12       Impact factor: 3.492

Review 3.  Interplay between miRNAs and lncRNAs: Mode of action and biological roles in plant development and stress adaptation.

Authors:  Xiangxiang Meng; Aixia Li; Bin Yu; Shengjun Li
Journal:  Comput Struct Biotechnol J       Date:  2021-04-27       Impact factor: 7.271

4.  Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA-Protein Interactions.

Authors:  Lijuan Jia; Yushi Luan
Journal:  Interdiscip Sci       Date:  2022-01-17       Impact factor: 2.233

5.  Genome-Wide Identification and Characterization of Potato Long Non-coding RNAs Associated With Phytophthora infestans Resistance.

Authors:  Weilin Cao; Liming Gan; Chenchen Wang; Xuechen Zhao; Mingyu Zhang; Jinwen Du; Shumei Zhou; Changxiang Zhu
Journal:  Front Plant Sci       Date:  2021-02-10       Impact factor: 5.753

6.  PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.

Authors:  Jun Meng; Qiang Kang; Zheng Chang; Yushi Luan
Journal:  BMC Bioinformatics       Date:  2021-05-12       Impact factor: 3.169

7.  Cryo-Treatment Enhances the Embryogenicity of Mature Somatic Embryos via the lncRNA-miRNA-mRNA Network in White Spruce.

Authors:  Ying Gao; Ying Cui; Ruirui Zhao; Xiaoyi Chen; Jinfeng Zhang; Jian Zhao; Lisheng Kong
Journal:  Int J Mol Sci       Date:  2022-01-20       Impact factor: 5.923

8.  Function identification of miR394 in tomato resistance to Phytophthora infestans.

Authors:  Yuan-Yuan Zhang; Yu-Hui Hong; Ya-Rong Liu; Jun Cui; Yu-Shi Luan
Journal:  Plant Cell Rep       Date:  2021-07-06       Impact factor: 4.570

  8 in total

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