Literature DB >> 32450394

Identification and functional prediction of soybean CircRNAs involved in low-temperature responses.

Xuesong Wang1, Xingchao Chang2, Ya Jing3, Jialiang Zhao4, Qingwei Fang5, Mingyang Sun6, Yanzheng Zhang7, Wenbin Li8, Yongguang Li9.   

Abstract

Circular RNAs (circRNAs) are a newly characterized type of noncoding RNA and play important roles in microRNA (miRNA) function and transcriptional control. To unravel the mechanism of soybean circRNAs in low-temperature (LT) stress response, genome-wide identification of soybean circRNAs was conducted under LT (4 °C) treatment via deep sequencing. In this study, the existence of backsplicing sites was validated and circRNAs exhibited specific expression patterns in response to LT. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that circRNAs could participate in LT-responsive processes. Our study revealed a new circRNA-miRNA-mRNA network, which is involved in LT responses. Furthermore, soybean circRNAs were predicted to have potential to encode polypeptides or protein. Taken together, our results indicate that soybean circRNAs might encode proteins and be involved in the regulation of LT responses, providing clues regarding the molecular LT-responsive mechanisms in soybean.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  High-throughput sequencing; Low temperature; Protein-coding potential; Soybean [Glycine max]; circRNA identification; circRNA-miRNA-mRNA network

Year:  2020        PMID: 32450394     DOI: 10.1016/j.jplph.2020.153188

Source DB:  PubMed          Journal:  J Plant Physiol        ISSN: 0176-1617            Impact factor:   3.549


  5 in total

Review 1.  Research progress on plant noncoding RNAs in response to low-temperature stress.

Authors:  Chenmin Huo; Baowen Zhang; Ruiju Wang
Journal:  Plant Signal Behav       Date:  2021-12-19

2.  An advanced systems biology framework of feature engineering for cold tolerance genes discovery from integrated omics and non-omics data in soybean.

Authors:  Pei-Hsiu Kao; Supaporn Baiya; Zheng-Yuan Lai; Chih-Min Huang; Li-Hsin Jhan; Chian-Jiun Lin; Ya-Syuan Lai; Chung-Feng Kao
Journal:  Front Plant Sci       Date:  2022-09-30       Impact factor: 6.627

Review 3.  Viral Circular RNAs and Their Possible Roles in Virus-Host Interaction.

Authors:  Xing Zhang; Zi Liang; Chonglong Wang; Zeen Shen; Sufei Sun; Chengliang Gong; Xiaolong Hu
Journal:  Front Immunol       Date:  2022-06-17       Impact factor: 8.786

4.  Circular RNAs acting as ceRNAs mediated by miRNAs may be involved in the synthesis of soybean fatty acids.

Authors:  Bohan Ma; Zhanzhu Liu; Wei Yan; Lixue Wang; Haobo He; Aijing Zhang; Zeyuan Li; Qiuzhu Zhao; Mingming Liu; Shuyan Guan; Siyan Liu; Jing Qu; Dan Yao; Jun Zhang
Journal:  Funct Integr Genomics       Date:  2021-06-19       Impact factor: 3.410

5.  NGS Methodologies and Computational Algorithms for the Prediction and Analysis of Plant Circular RNAs.

Authors:  Laura Carmen Terrón-Camero; Eduardo Andrés-León
Journal:  Methods Mol Biol       Date:  2021
  5 in total

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