Literature DB >> 34862931

Identification, evolutionary analysis and functional diversification of RAV gene family in cotton (G. hirsutum L.).

Nosheen Kabir1, Hai Lin2, Xianhui Kong2, Le Liu3, Ghulam Qanmber1, YuXuan Wang1, Lian Zhang2, Zhuojing Sun4, Zuoren Yang1,3,2, Yu Yu5, Na Zhao6.   

Abstract

MAIN
CONCLUSION: Genome wide analysis, expression pattern analysis, and functional characterization of RAV genes highlight their roles in roots, stem development and hormonal response. RAV (Related to ABI3 and VP1) gene family members have been involved in tissues/organs growth and hormone signaling in various plant species. Here, we identified 247 RAVs from 12 different species with 33 RAV genes from G. hirsutum. Phylogenetic analysis classified RAV genes into four distinct groups. Analysis of gene structure showed that most GhRAVs lack introns. Motif distribution pattern and protein sequence logos indicated that GhRAV genes were highly conserved during the process of evolution. Promotor cis-acting elements revealed that promotor regions of GhRAV genes encode numerous elements related to plant growth, abiotic stresses and phytohormones. Chromosomal location information showed uneven distribution of 33 GhRAV genes on different chromosomes. Collinearity analysis identified 628 and 52 orthologous/ paralogous gene pairs in G. hirsutum and G. barbadense, respectively. Ka/Ks values indicated that GhRAV and GbRAV genes underwent strong purifying selection pressure. Selecton model and codon model selection revealed that GhRAV amino acids were under purifying selection and adaptive evolution exists among GhRAV proteins. Three dimensional structure of GhRAVs indicated the presence of numerous alpha helix and beta-barrels. Expression level revealed that some GhRAV genes exhibited high expression in roots (GhRAV3, GhRAV4, GhRAV11, GhRAV18, GhRAV20 and GhRAV30) and stem (GhRAV3 and GhRAV18), indicating their potential role in roots and stem development. GhRAV genes can be regulated by phytohormonal stresses (BL, JA and IAA). Our study provides a reference for future studies related to the functional analysis of GhRAVs in cotton.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Codon model selection; Expression pattern; Motif; Phylogenetic analysis; Selection pressure; Selecton model

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Year:  2021        PMID: 34862931     DOI: 10.1007/s00425-021-03782-2

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  54 in total

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8.  CodonTest: modeling amino acid substitution preferences in coding sequences.

Authors:  Wayne Delport; Konrad Scheffler; Gordon Botha; Mike B Gravenor; Spencer V Muse; Sergei L Kosakovsky Pond
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

9.  The Arabidopsis abscisic acid response locus ABI4 encodes an APETALA 2 domain protein.

Authors:  R R Finkelstein; M L Wang; T J Lynch; S Rao; H M Goodman
Journal:  Plant Cell       Date:  1998-06       Impact factor: 11.277

10.  Resequencing of 243 diploid cotton accessions based on an updated A genome identifies the genetic basis of key agronomic traits.

Authors:  Xiongming Du; Gai Huang; Shoupu He; Zhaoen Yang; Gaofei Sun; Xiongfeng Ma; Nan Li; Xueyan Zhang; Junling Sun; Min Liu; Yinhua Jia; Zhaoe Pan; Wenfang Gong; Zhaohui Liu; Heqin Zhu; Lei Ma; Fuyan Liu; Daigang Yang; Fan Wang; Wei Fan; Qian Gong; Zhen Peng; Liru Wang; Xiaoyang Wang; Shuangjiao Xu; Haihong Shang; Cairui Lu; Hongkun Zheng; Sanwen Huang; Tao Lin; Yuxian Zhu; Fuguang Li
Journal:  Nat Genet       Date:  2018-05-07       Impact factor: 38.330

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  1 in total

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