Literature DB >> 17574351

Identification of cotton microRNAs and their targets.

Baohong Zhang1, Qinglian Wang, Kunbo Wang, Xiaoping Pan, Fang Liu, Tenglong Guo, George P Cobb, Todd A Anderson.   

Abstract

No study has been performed on identifying microRNAs (miRNAs) and their targets in cotton although cotton is one of the most important fiber and economic crops around the world. In this study, we found 30 potential cotton miRNAs using a comparative genomic approach based on genomic survey sequence analysis and miRNA secondary structure. These cotton miRNAs belong to 22 miRNA families. Expressed sequence tag (EST) analysis indicated that the predicted miRNAs were expressed in cotton plants. Based on the characteristic that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences, a total of 139 potential miRNA targets were identified in cotton genome. A majority of these targets belong to transcriptional factors which regulate cotton growth and development, including leaf, root, stem, flower, and even fiber development. Those miRNAs may also be involved in other cellular and metabolic processes, such as stress response, signal transduction, and secondary wall synthesis and deposition. Some of the newly identified miRNA targets may be unique to cotton species. In this study, we found that at least 3 miRNA families (miR 396, 414, and 782) target callous synthase, fiber protein Fb23, and fiber quinone-oxidoreductase, suggesting that miRNAs play an important role in cotton fiber differentiation and development.

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Year:  2007        PMID: 17574351     DOI: 10.1016/j.gene.2007.03.020

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  73 in total

1.  Difference in miRNA expression profiles between two cotton cultivars with distinct salt sensitivity.

Authors:  Zujun Yin; Yan Li; Jiwen Yu; Yudong Liu; Chunhe Li; Xiulan Han; Fafu Shen
Journal:  Mol Biol Rep       Date:  2011-12-08       Impact factor: 2.316

2.  Identification of miRNAs in sorghum by using bioinformatics approach.

Authors:  Amit Katiyar; Shuchi Smita; Viswanathan Chinnusamy; Dev Mani Pandey; Kailash Bansal
Journal:  Plant Signal Behav       Date:  2012-02-01

3.  Subgenomic analysis of microRNAs in polyploid wheat.

Authors:  Melda Kantar; Bala Anı Akpınar; Miroslav Valárik; Stuart J Lucas; Jaroslav Doležel; Pilar Hernández; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2012-05-17       Impact factor: 3.410

4.  A genome-wide identification and characterization of mircoRNAs and their targets in 'Suli' pear (Pyrus pyrifolia white pear group).

Authors:  Qingfeng Niu; Minjie Qian; Guoqin Liu; Fengxia Yang; Yuanwen Teng
Journal:  Planta       Date:  2013-09-08       Impact factor: 4.116

Review 5.  MicroRNAs and their diverse functions in plants.

Authors:  Guiling Sun
Journal:  Plant Mol Biol       Date:  2011-08-27       Impact factor: 4.076

6.  Identification of soybean microRNAs and their targets.

Authors:  Baohong Zhang; Xiaoping Pan; Edmund J Stellwag
Journal:  Planta       Date:  2008-09-25       Impact factor: 4.116

7.  High GC content: critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana.

Authors:  Akaash Kumar Mishra; Seep Agarwal; Chakresh Kumar Jain; Vibha Rani
Journal:  Bioinformation       Date:  2009-10-11

8.  Review of current methodological approaches for characterizing microRNAs in plants.

Authors:  Turgay Unver; Deana M Namuth-Covert; Hikmet Budak
Journal:  Int J Plant Genomics       Date:  2009-10-08

9.  PMRD: plant microRNA database.

Authors:  Zhenhai Zhang; Jingyin Yu; Daofeng Li; Zuyong Zhang; Fengxia Liu; Xin Zhou; Tao Wang; Yi Ling; Zhen Su
Journal:  Nucleic Acids Res       Date:  2009-10-06       Impact factor: 16.971

10.  Deep sequencing identifies novel and conserved microRNAs in peanuts (Arachis hypogaea L.).

Authors:  Chuan-Zhi Zhao; Han Xia; Taylor Price Frazier; Ying-Yin Yao; Yu-Ping Bi; Ai-Qin Li; Meng-Jun Li; Chang-Sheng Li; Bao-Hong Zhang; Xing-Jun Wang
Journal:  BMC Plant Biol       Date:  2010-01-05       Impact factor: 4.215

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