4.6 Article

Genomic and Phenotypic Diversity of Cultivated and Wild Tomatoes with Varying Levels of Heat Tolerance

期刊

GENES
卷 12, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/genes12040503

关键词

genetic variability; heat tolerance; heritability; SNP markers; tomatoes

资金

  1. Africa Centers of Excellence for Development Impact (ACE Impact) project
  2. UK aid from the UK government
  3. project Developing and delivering agricultural technologies and knowledge to reduce poverty and hunger, and support adaptation to climate change

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Assessment of genetic variability in heat-tolerant tomato germplasm is essential for improving yield and fruit quality under heat stress. By analyzing the population structure and diversity using genomic markers and phenotypic evaluation, this study identified distinct clusters of heat-sensitive and heat-tolerant varieties in the germplasm collection, providing a basis for efficient selection of parental lines for breeding heat-tolerant varieties.
Assessment of genetic variability in heat-tolerant tomato germplasm is a pre-requisite to improve yield and fruit quality under heat stress. We assessed the population structure and diversity in a panel of three Solanum pimpinellifolium (wild tomatoes) and 42 S. lycopersicum (cultivated tomatoes) lines and accessions with varying heat tolerance levels. The DArTseq marker was used for the sequencing and 5270 informative single nucleotide polymorphism (SNP) markers were retained for the genomic analysis. The germplasm was evaluated under two heat stress environments for five yield and flower related traits. The phenotypic evaluation revealed moderate broad-sense heritabilities for fruit weight per plant and high broad-sense heritabilities for fruit weight, number of inflorescences per plant, and number of flowers per inflorescence. The hierarchical clustering based on identity by state dissimilarity matrix and UPGMA grouped the germplasm into three clusters. The cluster analysis based on heat-tolerance traits separated the germplasm collection into five clusters. The correlation between the phenotypic and genomic-based distance matrices was low (r = 0.2, p < 0.05). The joint phenotypic and genomic-based clustering grouped the germplasm collection into five clusters well defined for their response to heat stress ranging from highly sensitive to highly tolerant groups. The heat-sensitive and heat-tolerant clusters of S. lycopersicum lines were differentiated by a specific pattern of minor allele frequency distribution on chromosome 11. The joint phenotypic and genomic analysis revealed important diversity within the germplasm collection. This study provides the basis for efficient selection of parental lines to breed heat-tolerant varieties.

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