ArticleBMC plant biology2019
Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato.
Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Physiological and Molecular Approaches for Developing Thermotolerance in Vegetable Crops: A Growth, Yield and Sustenance Perspective.Frontiers in plant science · 2022Pooled it
- Heritable Genetic Effects Caused by a Single Generation of Captive Breeding.Evolutionary applications · 2026Article
- Identification of Candidate Heat-Tolerance Genes in Maize by Integrating Linkage and Transcriptomic Analyses.Plants (Basel, Switzerland) · 2026Article
- Quantitative trait loci associated with improved fruit yield under heat-stress conditions in fresh-market tomato.Frontiers in plant science · 2026Article
- Fine Mapping and Candidate Gene Identification of ORUFILM03g000096 Gene in Weedy Rice LM8: Insights into Grain Length Regulation.Rice (New York, N.Y.) · 2025Article
- Usage of wildBreeding science · 2025Article
- Emerging applications of gene editing technologies for the development of climate-resilient crops.Frontiers in genome editing · 2025Review
- QTL mapping and candidate gene mining of seed size and seed weight in castor plant (Ricinus communis L.).BMC plant biology · 2024Article
- First Peek into the Transcriptomic Response in Heat-Stressed Tomato Inoculated withPlants (Basel, Switzerland) · 2024Article
- Identification of Key Genes and Pathways for Anaerobic Germination Tolerance in Rice Using Weighted Gene Co-Expression Network Analysis (WGCNA) in Association with Quantitative Trait Locus (QTL) Mapping.Rice (New York, N.Y.) · 2024Article
- Exploring the gene expression network involved in the heat stress response of a thermotolerant tomato genotype.BMC genomics · 2024Article
- Naturally segregating genetic variants contribute to thermal tolerance in a Drosophila melanogaster model system.Genetics · 2024Article
- Transcriptome Analysis Reveals Key Genes Involved in the Response ofPlants (Basel, Switzerland) · 2024Article
- Review on blueberry drought tolerance from the perspective of cultivar improvement.Frontiers in plant science · 2024Review
- A comprehensive review onFrontiers in genetics · 2024Review
- Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family.Frontiers in plant science · 2024Review
- Rapid Identification of High-Temperature Responsive Genes Using Large-Scale Yeast Functional Screening System in Potato.Plants (Basel, Switzerland) · 2023Article
- BSA-Seq for the Identification of Major Genes for EPN in Rice.International journal of molecular sciences · 2023Article
- KAI2 Can Do: Karrikin Receptor Function in Plant Development and Response to Abiotic and Biotic Factors.Plant & cell physiology · 2023Article
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Abstract
backgroundHigh temperature is one of the major abiotic stresses in tomato and greatly reduces fruit yield and quality. Identifying high-temperature stress-responsive (HSR) genes and breeding heat-tolerant varieties is an effective way to address this issue. However, there are few reports on the fine mapping of heat-tolerance quantitative trait locus (QTL) and the identification of HSR genes in tomato. Here, we applied three heat tolerance-related physiological indexes, namely, relative electrical conductivity (REC), chlorophyll content (CC) and maximum photochemical quantum efficiency (F
resultsA total of five major QTLs were detected: qHII-1-1, qHII-1-2, qHII-1-3, qHII-2-1 and qCC-1-5 (qREC-1-3). qHII-1-1, qHII-1-2 and qHII-1-3 were located, respectively, in the intervals of 1.43, 1.17 and 1.19 Mb on chromosome 1, while the interval of qHII-2-1 was located in the intervals of 1.87 Mb on chromosome 2. The locations observed with conventional QTL mapping and QTL-seq were consistent. qCC-1-5 and qREC-1-3 for CC and REC, respectively, were located at the same position by conventional QTL mapping. Although qCC-1-5 was not detected in QTL-seq analysis, its phenotypic variation (16.48%) and positive additive effect (0.22) were the highest among all heat tolerance QTLs. To investigate the genes involved in heat tolerance within the major QTLs in tomato, RNA-seq analysis was performed, and four candidate genes (SlCathB2, SlGST, SlUBC5, and SlARG1) associated with heat tolerance were finally detected within the major QTLs by DEG analysis, qRT-PCR screening and biological function analysis.
conclusionsIn conclusion, this study demonstrated that the combination of conventional QTL mapping, QTL-seq analysis and RNA-seq can rapidly identify candidate genes within major QTLs for a complex trait of interest to replace the fine-mapping process, thus greatly shortening the breeding process and improving breeding efficiency. The results have important applications for the fine mapping and identification of HSR genes and breeding for improved thermotolerance.
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