Genome-wide identification, characterization and expression profiles of the CCD gene family in Gossypium species

3 BIOTECH(2021)

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Abstract
Carotenoid cleavage dioxygenases (CCDs) are a group of enzymes that catalyze the selective oxidative cleavage steps from carotenoids to apocarotenoids, which are essential for the synthesis of biologically important molecules such as retinoids, and the phytohormones abscisic acid (ABA) and strigolactones. In addition, CCDs play important roles in plant biotic and abiotic stress responses. Till now, a comprehensive characterization of the CCD gene family in the economically important crop cotton ( Gossypium spp.) is still missing. Here, we performed a genome-wide analysis and identified 33, 31, 16 and 15 CCD genes from two allotetraploid Gossypium species, G. hirsutum and G. barbadense , and two diploid Gossypium species, G. arboreum and G. raimondii , respectively. According to the phylogenetic tree analysis, cotton CCD s are classified as six subgroups including CCD1 , CCD4 , CCD7 , CCD8 , nine-cis-epoxycarotenoid dioxygenase ( NCED ) and z axinone synthase ( ZAS ) sub-families. Evolutionary analysis shows that purifying selection dominated the evolution of these genes in G. hirsutum and G. barbadense . Predicted cis -acting elements in 2 kb promoters of CCD s in G. hirsutum are mainly involved in light, stress and hormone responses. The transcriptomic analysis of GhCCD s showed that different GhCCD s displayed diverse expression patterns and were ubiquitously expressed in most tissues; moreover, GhCCD s displayed specific inductions by different abiotic stresses. Quantitative reverse-transcriptional PCR (qRT-PCR) confirmed the induction of GhCCD s by heat stress, salinity, polyethylene glycol (PEG) and ABA application. In summary, the bioinformatics and expression analysis of CCD gene family provide evidence for the involvement in regulating abiotic stresses and useful information for in-depth studies of their biological functions in G. hirsutum .
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Key words
CCD genes,Cotton,Genome-wide analysis,Phylogenetic tree,Abiotic stresses,Expression analysis
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