Genome-Wide Analysis of Multidrug and Toxic Compound Extrusion (MATE) Family in Gossypium raimondii and Gossypium arboreum and Its Expression Analysis Under Salt, Cadmium, and Drought Stress.
Pu LuRichard Odongo MagwangaXinlei GuoJoy Nyangasi KirunguHejun LuXiaoyan CaiZhongli ZhouYangyang WeiXingxing WangZhenmei ZhangRenhai PengKunbo WangFang LiuPublished in: G3 (Bethesda, Md.) (2018)
The extrusion of toxins and substances at a cellular level is a vital life process in plants under abiotic stress. The multidrug and toxic compound extrusion (MATE) gene family plays a large role in the exportation of toxins and other substrates. We carried out a genome-wide analysis of MATE gene families in Gossypium raimondii and Gossypium arboreum and assessed their expression levels under salt, cadmium and drought stresses. We identified 70 and 68 MATE genes in G. raimondii and G. arboreum, respectively. The majority of the genes were predicted to be localized within the plasma membrane, with some distributed in other cell parts. Based on phylogenetic analysis, the genes were subdivided into three subfamilies, designated as M1, M2 and M3. Closely related members shared similar gene structures, and thus were highly conserved in nature and have mainly evolved through purifying selection. The genes were distributed in all chromosomes. Twenty-nine gene duplication events were detected, with segmental being the dominant type. GO annotation revealed a link to salt, drought and cadmium stresses. The genes exhibited differential expression, with GrMATE18, GrMATE34, GaMATE41 and GaMATE51 significantly upregulated under drought, salt and cadmium stress, and these could possibly be the candidate genes. Our results provide the first data on the genome-wide and functional characterization of MATE genes in diploid cotton, and are important for breeders of more stress-tolerant cotton genotypes.
Keyphrases
- genome wide identification
- genome wide analysis
- genome wide
- transcription factor
- dna methylation
- copy number
- heavy metals
- heat stress
- stem cells
- drug resistant
- arabidopsis thaliana
- gene expression
- single cell
- stress induced
- high resolution
- mesenchymal stem cells
- electronic health record
- cell therapy
- drinking water
- artificial intelligence
- deep learning
- mass spectrometry