Phenotypic diversity and marker-trait association studies under heat stress in tomato (Solanum lycopersicum L.)

Muhammed Alsamir, N. Ahmad, V. Arief, T. Mahmood, R. Trethowan
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引用次数: 12

Abstract

Tomato is a mild season crop and high temperature stress impacts productivity negatively. However, the development of cultivars with improved heat tolerance is possible as genetic variability has been consistently reported. This study aimed to identify candidate genes that impact various traits under heat stress. Genome-wide association studies (GWAS) were conducted on a diverse set of 144 tomato genotypes collected from various germplasm centers and breeding programs. The genotypes were grown under control and heat stress in poly tunnels having mean temperatures of 30°C and 45°C for two seasons and phenotypic data were collected on seven agro-physiological traits. All individuals were genotyped withthe80K DArTseq platform using 31237 SNP markers. Data were analysed using a mixed model based on restricted maximum likelihood (REML). Pattern analysis of the phenotypic data showed five primary clusters each with genotypes from multiple origins. Based on the genotypic data, three wild tomato genotypes showed a degree of un-relatedness with the other materials as they were distantly located from the rest of the genotypes in the scatter plot. Control treatment data were used to ascertain markers that are exclusively important under high temperature stress. A large number of markers were significantly associated with various traits under heat stress. These included strong marker associations for number of inflorescence/plant (IPP), number of flowers/inflorescence (FPI), fresh fruit weight (FFrW), and electrolyte leakage (EL). High association with EL was found due to two SNPs 7858523|F|0-25:G>A-25:G>A and 4705224|F|0-60:C>G-60:C>G located on Chr 6. Other less pronounced marker-trait associations were observed for plant dry weight (PDW), and number of fruit/plant (FrPP).
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热胁迫下番茄(Solanum lycopersicum L.)表型多样性及标记性状关联研究
番茄是一种温和季节作物,高温胁迫对其产量产生不利影响。然而,随着遗传变异的不断报道,培育耐热性更好的品种是可能的。本研究旨在确定热胁迫下影响各种性状的候选基因。对来自不同种质中心和育种计划的144个不同的番茄基因型进行了全基因组关联研究。在平均温度分别为30°C和45°C的多通道中进行对照和热胁迫生长,收集了7项农业生理性状的表型数据。所有个体在80k DArTseq平台上使用31237个SNP标记进行基因分型。使用基于限制最大似然(REML)的混合模型分析数据。表型数据的模式分析显示5个主要聚类,每个聚类都有来自多个起源的基因型。根据基因型数据,三种野生番茄基因型与其他材料存在一定程度的不相关性,因为它们在散点图中与其他基因型距离较远。对照处理数据用于确定在高温胁迫下只重要的标记。大量标记与热胁迫下的各种性状显著相关。这些指标与花序/株数(IPP)、花/花序数(FPI)、鲜果重(FFrW)和电解质泄漏(EL)有很强的相关性。由于位于Chr 6的两个snp 7858523|F|0-25:G>A-25:G>A和4705224|F|0-60:C>G-60:C>G,发现与EL高度相关。在植株干重(PDW)和果实/株数(FrPP)上观察到其他不太明显的标记-性状关联。
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