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Plant Physiol Biochem ; 127: 169-184, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29604523

ABSTRACT

The MADS-box gene family encodes transcription factors that share a highly conserved domain known to bind to DNA. Members of this family control various processes of development in plants, from root formation to fruit ripening. In this work, a survey of diploid (Gossypium raimondii and Gossypium arboreum) and tetraploid (Gossypium hirsutum) cotton genomes found a total of 147, 133 and 207 MADS-box genes, respectively, distributed in the MIKC, Mα, Mß, Mγ, and Mδ subclades. A comparative phylogenetic analysis among cotton species, Arabidopsis, poplar and grapevine MADS-box homologous genes allowed us to evaluate the evolution of each MADS-box lineage in cotton plants and identify sequences within well-established subfamilies. Chromosomal localization and phylogenetic analysis revealed that G. raimondii and G. arboreum showed a conserved evolution of the MIKC subclade and a distinct pattern of duplication events in the Mα, Mγ and Mδ subclades. Additionally, G. hirsutum showed a combination of its parental subgenomes followed by a distinct evolutionary history including gene gain and loss in each subclade. qPCR analysis revealed the expression patterns of putative homologs in the AP1, AP3, AGL6, SEP4, AGL15, AG, AGL17, TM8, SVP, SOC and TT16 subfamilies of G. hirsutum. The identification of putative cotton orthologs is discussed in the light of evolution and gene expression data from other plants. This analysis of the MADS-box genes in Gossypium species opens an avenue to understanding the origin and evolution of each gene subfamily within diploid and polyploid species and paves the way for functional studies in cotton species.


Subject(s)
Diploidy , Gene Expression Regulation, Plant/physiology , Gossypium , Plant Proteins , Polyploidy , Transcription Factors , Genome-Wide Association Study , Gossypium/genetics , Gossypium/metabolism , Plant Proteins/genetics , Plant Proteins/metabolism , Transcription Factors/genetics , Transcription Factors/metabolism
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