Literature DB >> 32193788

Genome-wide identification of the mitogen-activated protein kinase (MAPK) family in cotton (Gossypium hirsutum) reveals GhMPK6 involved in fiber elongation.

Yi-Hao Chen1, Na-Na Wang1, Jing-Bo Zhang1, Yong Zheng1, Xue-Bao Li2.   

Abstract

Mitogen-activated protein kinases (MAPKs) are important in regulating plant development as well as stress response. In this study, we genome-widely identified 56 MAPK genes in upland cotton. These MAPK genes unequally distribute on 22 chromosomes of cotton genome, but no MAPK gene is located on At_Chr6, Dt_Chr6, At_Chr13 and Dt_Chr13. The exons and introns in GhMAPK gene family vary widely at the position, number and length. Furthermore, GhMAPK family can be divided into 4 groups (A, B, C and D), and the TEY type of T-loop exists in three groups (A, B and C), but the TDY type of T-loop is only in group D. Further study revealed that some GhMAPK genes (including GhMPK6) are preferentially expressed in elongating fibers. GhMPK6 maintains a high phosphorylation level in elongating fibers, and its phosphorylation was enhanced in fibers by phytohormones brassinosteroid (BR), ethylene and indole-3-acetic acid (IAA). Additionally, GhMPK6 could interact with GhMKK2-2 and GhMKK4, suggesting that GhMKK2-2/4-GhMPK6 module may be involved in phosphorylation of its downstream proteins for regulating fiber elongation of cotton.

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Keywords:  Cotton (gossypium hirsutum); Fiber elongation; Mitogen-activated protein kinase (MAPK); Phosphorylation; Phytohormone signaling

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Year:  2020        PMID: 32193788     DOI: 10.1007/s11103-020-00999-9

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  2 in total

Review 1.  The involvement of gaseous signaling molecules in plant MAPK cascades: function and signal transduction.

Authors:  Xuetong Wu; Zhiya Liu; Weibiao Liao
Journal:  Planta       Date:  2021-11-23       Impact factor: 4.116

2.  Revealing Genetic Differences in Fiber Elongation between the Offspring of Sea Island Cotton and Upland Cotton Backcross Populations Based on Transcriptome and Weighted Gene Coexpression Networks.

Authors:  Shengmei Li; Shiwei Geng; Bo Pang; Jieyin Zhao; Yajie Huang; Cun Rui; Jinxin Cui; Yang Jiao; Ru Zhang; Wenwei Gao
Journal:  Genes (Basel)       Date:  2022-05-26       Impact factor: 4.141

  2 in total

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