QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

Background Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. Results In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: “Védrantais”, from the cantalupensis group, and “Piel de Sapo”, from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. Conclusion Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map. Keywords Quantitative trait loci Melon Fruit quality Fruit morphology Genotyping-by-sequencing Genetic mapinfo:eu-repo/semantics/publishedVersio

QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map

Abstract Background Melon shows a broad diversity in fruit morphology and quality, which is still underexploited in breeding programs. The knowledge of the genetic basis of fruit quality traits is important for identifying new alleles that may be introduced in elite material by highly efficient molecular breeding tools. Results In order to identify QTLs controlling fruit quality, a recombinant inbred line population was developed using two commercial cultivars as parental lines: “Védrantais”, from the cantalupensis group, and “Piel de Sapo”, from the inodorus group. Both have desirable quality traits for the market, but their fruits differ in traits such as rind and flesh color, sugar content, ripening behavior, size and shape. We used a genotyping-by-sequencing strategy to construct a dense genetic map, which included around five thousand variants distributed in 824 bins. The RIL population was phenotyped for quality and morphology traits, and we mapped 33 stable QTLs involved in sugar and carotenoid content, fruit and seed morphology and major loci controlling external color of immature fruit and mottled rind. The median confidence interval of the QTLs was 942 kb, suggesting that the high density of the genetic map helped in increasing the mapping resolution. Some of these intervals contained less than a hundred annotated genes, and an integrative strategy combining gene expression and resequencing data enabled identification of candidate genes for some of these traits. Conclusion Several QTLs controlling fruit quality traits in melon were identified and delimited to narrow genomic intervals, using a RIL population and a GBS-based genetic map

Cloning of Vgt3, a major QTL for flowering time in maize

Flowering time is a complex trait important for crop adaptation to local environments and an essential breeding target to face the challenge of global climate change. A major quantitative trait locus (QTL) for flowering time and number of nodes (ND), qVgt3.05 (Vgt3), was previously identified on chromosome 3, bin 3.05, in a maize introgression library (IL) derived from the cross B73 x Gasp\ue9 Flint (recipient and donor genotypes, respectively. Salvi et al. 2011). In order to clone Vgt3, B73 was crossed with its early isogenic line 39-1-2-33 which carries a 17-cM Gasp\ue9 Flint introgression on bin 3.05. Using this cross, Vgt3 showed an addictive effect of 1.4 nodes, explained 56.6% of the phenotypic variance and was mapped within 0.3 cM. For positional cloning, a total of 7,500 F2 plants were phenotyped and genotyped with SNPs and SSR markers flanking the QTL interval. One-hundred recombinants lines were derived and the QTL was further narrowed the target genomic region to a 380-kb interval. A MADS-box gene with no coding sequence variation between the two alleles was found in the physical interval. However, the MADS-box gene RNA expression profile and transgenics testing confirmed its effect on flowering time. We are currently searching for the Vgt3 causative regulatory region by studying chromosome structural variation between the B73 and Gasp\ue9 Flint alleles