In Silico Identification and Characterization of Fatty Acid Desaturase (FAD) Genes in Argania spinosa L. Skeels: Implications for Oil Quality and Abiotic Stress.
Abdelmoiz El Faqer, Karim Rabeh, Mohammed Alami, Abdelkarim Filali-Maltouf, Bouchra Belkadi
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引用次数: 0
Abstract
Fatty acid desaturase (FAD) is the key enzyme that leads to the formation of unsaturated fatty acids by introducing double bonds into hydrocarbon chains, and it plays a critical role in plant lipid metabolism. However, no data are available on enzyme-associated genes in argan trees. In addition, a candidate gene approach was adopted to identify and characterize the gene sequences of interest that are potentially involved in oil quality and abiotic stress. Based on phylogenetic analyses, 18 putative FAD genes of Argania spinosa L. (AsFAD) were identified and assigned to three subfamilies: stearoyl-ACP desaturase (SAD), Δ-12 desaturase (FAD2/FAD6), and Δ-15 desaturase (FAD3/FAD7). Furthermore, gene structure and motif analyses revealed a conserved exon-intron organization among FAD members belonging to the various oil crops studied, and they exhibited conserved motifs within each subfamily. In addition, the gene structure shows a wide variation in intron numbers, ranging from 0 to 8, with two highly conserved intron phases (0 and 1). The AsFAD and AsSAD subfamilies consist of three (H(X)2-4H, H(X)2-3HH, and H/Q (X)2-3HH) and two (EEN(K)RHG and DEKRHE) conserved histidine boxes, respectively. A set of primer pairs were designed for each FAD gene, and tested on DNA extracted from argan leaves, in which all amplicons of the expected size were produced. These findings of candidate genes in A spinosa L. will provide valuable knowledge that further enhances our understanding of the potential roles of FAD genes in the quality of oil and abiotic stress in the argan tree.
期刊介绍:
Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.