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Transcriptome Sequencing of Chickpea (Cicer arietinum L.) Genotypes for Identification of Drought-Responsive Genes Under Drought Stress Condition

机译:鹰嘴豆(Cicer Arietinum L.)基因型测序的转录组测序,用于鉴定干旱胁迫条件下干旱响应基因的基因型

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Chickpea (Cicer arietinum L.) is a pulse crop valued for its high protein content, grown in semi-arid tropics and Mediterranean regions. Its yield remains affected by biotic and abiotic stresses with drought alone being responsible for up to 50% annual loss of yield. Transcriptome analysis of a sensitive and a tolerant cultivar of chickpea has been done earlier to unravel the molecular basis for drought and salinity stress responses. In the present study, we performed transcriptome analysis of two drought-tolerant genotypes, BG-362 and P-256, under polyethylene glycol-simulated drought stress to decipher the genes and pathways that are commonly regulated in these genotypes. RNA-Seq using Illumina platform generated 152 million high-quality reads. Reference-guided assembly of genome yielded a total of 37,943 transcripts representing 22,701 genes. Among the 1624 genes that were observed to be differentially expressed under drought, 97 genes were common in both the genotypes. These included the upregulated genes, such as probable mannitol dehydrogenase, serine hydroxymethyltransferase 4-like, 17.5kDa class I heat shock protein-like, cytochrome P450 81E8-like, and galactinol-sucrose galactosyltransferase-like, and downregulated genes, such as probable xyloglucan endotransglucosylase/hydrolase protein 23, abscisic acid 8-hydroxylase 1-like, Calmodulin-like protein 11, and proline dehydrogenase 2 mitochondrial-like genes. A major finding was the involvement of transcription factors, including AP2-EREBP, bHLH, bZIP, C3H, MYB, NAC, WRKY, and MADS. The present study is the first comparative analysis of RNA-Seq data for two drought-tolerant chickpea genotypes. These findings would help in improving drought tolerance across chickpea genotypes.
机译:鹰嘴豆(Cicer Arietinum L.)是一种脉搏作物,其高蛋白质含量,在半干旱热带地区和地中海地区生长。其收益率受到生物和非生物胁迫的影响,干旱单独负责持续50%的收益率。通过早期进行敏感和耐受耐植物培养的转录组分析,以解开干旱和盐度应激反应的分子基础。在本研究中,我们在聚乙二醇模拟的干旱胁迫下进行了两种耐旱基因型,BG-362和P-256的转录组分析,以破译这些基因型中通常调节的基因和途径。使用Illumina平台的RNA-SEQ产生了15200万高质量的读数。基因组的基准引导组装产生总计37,943个转录物,其代表22,701个基因。在观察到在干旱下观察到差异表达的1624个基因中,在基因型中常见97个基因。这些包括上调基因,例如可能的甘露醇脱氢酶,丝氨酸羟甲基转移酶4样,17.5KDa I类热休克蛋白样,细胞色素P450 81E8样和半乳糖醇 - 蔗糖半乳糖基转移酶样和下调的基因,如可能的木葡聚糖内甘油糖苷基酶/水解酶蛋白23,脱落酸8-羟化酶1状,钙调蛋白样蛋白11和脯氨酸脱氢酶2线粒体样基因。主要发现是转录因子的参与,包括AP2-erebp,Bhlh,Bzip,C3h,Myb,Nac,Wrky和Mads。本研究是对两个耐旱性鹰嘴豆基因型的RNA-SEQ数据的第一种比较分析。这些发现将有助于改善鹰嘴豆基因型的耐旱性。

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