| Literature DB >> 35606719 |
Ruqi Su1,2, Senouwa Segla Koffi Dossou2, Komivi Dossa3,4, Rong Zhou2, Aili Liu2, Yanping Zhong1,2, Sheng Fang1, Xiurong Zhang2, Ziming Wu5, Jun You6.
Abstract
BACKGROUND: The adverse effects of climate change on crop production are constraining breeders to develop high-quality environmentally stable varieties. Hence, efforts are being made to identify key genes that could be targeted for enhancing crop tolerance to environmental stresses. ERF transcription factors play an important role in various abiotic stresses in plants. However, the roles of the ERF family in abiotic stresses tolerance are still largely unknown in sesame, the "queen" of oilseed crops.Entities:
Keywords: Abiotic stress; ERF gene family; Gene expression; Sesamum indicum; Transcription factors
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Year: 2022 PMID: 35606719 PMCID: PMC9128266 DOI: 10.1186/s12870-022-03632-7
Source DB: PubMed Journal: BMC Plant Biol ISSN: 1471-2229 Impact factor: 5.260
Fig. 1Distribution of SiERF genes within the sesame linkage groups (LGs). Vertical bars represent the LGs within the sesame genome. The LG number is indicated at the top of each LG. The scale on the left is in megabases
Fig. 2Phylogenetic analysis of the ERF proteins in sesame and Arabidopsis. Multiple sequence alignments of ERF amino-acid sequences were conducted using ClustalX, and the phylogenetic tree was constructed using MEGA5 by the neighbor-joining (NJ) method and 1000 bootstrap replicates. The blue triangles and red dots represent ERF proteins in Arabidopsis and sesame, respectively
Fig. 3Phylogenetic relationships, gene structure, and motif compositions of SiERFs. A Left: the phylogenetic tree of SiERFs. Right: conserved motif composition of the SiERFs. Different colored boxes represent different motifs. B Intron-Exon structure of SiERFs. The green boxes represent UTR, grey lines represent introns, and yellow boxes represent exons
Fig. 4SiERF genes expression profiles in sesame roots under drought stress (A) and waterlogging stress (B). Transcriptome data (Reads Per Kilobase per Million mapped reads; RPKM) were used for the expression levels measurement. The colored scale for the different expression levels is shown
Fig. 5Expression profiles of eighteen SiERF genes in sesame leave subjected to osmotic stress (A) and submerge stress (B) for 6 h. Transcript abundance was quantified using quantitative real-time polymerase chain reaction (qRT-PCR), and expression levels were normalized using sesame Histone H3.3 (LOC105159325) as a reference gene. The mean expression levels from three independent biological replicates were analyzed for significance using t-tests (p < 0.01). Asterisks indicate significant expression differences
Fig. 6Expression profiles of eighteen SiERF genes in sesame leave treated with ABA (A) and ACC (B) for 6 h. Transcript abundance was quantified using quantitative real-time polymerase chain reaction (qRT-PCR), and expression levels were normalized using sesame Histone H3.3 (LOC105159325) as a reference gene. The mean expression levels from three independent biological replicates were analyzed for significance using t-tests (p < 0.01). Asterisks indicate significant expression differences