ArticleBMC plant biology2011
A consensus linkage map for molecular markers and quantitative trait loci associated with economically important traits in melon (Cucumis melo L.).
Article in BMC plant biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
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Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it, 178 citations in OpenAlex.
- Meta genetic analysis of melon sweetness.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Pooled it
- Introgression line libraries in melon (Molecular breeding : new strategies in plant improvement · 2026Review
- Integrating genome-wide association study and transcriptomic profiling identifies candidate genes underlying soluble solids content in melon (Horticulture research · 2026Article
- Transcriptomic and Metabolomic Joint Analysis Revealing Different Metabolic Pathways and Genes Dynamically Regulating Bitter Gourd (Plants (Basel, Switzerland) · 2025Article
- Molecular Marker-Assisted Mapping, Candidate Gene Identification, and Breeding in Melon (International journal of molecular sciences · 2023Review
- QTL Mapping and Genome-Wide Association Study Reveal Genetic Loci and Candidate Genes Related to Soluble Solids Content in Melon.Current issues in molecular biology · 2023Article
- A Novel Introgression Line Library Derived from a Wild Melon Gives Insights into the Genetics of Melon Domestication, Uncovering New Genetic Variability Useful for Breeding.International journal of molecular sciences · 2023Article
- Genetic Mapping and QTL Analysis of Fruit Traits in Melon (Current issues in molecular biology · 2023Article
- Thorough Characterization ofFoods (Basel, Switzerland) · 2023Article
- Pan-genome and multi-parental framework for high-resolution trait dissection in melon (Cucumis melo).The Plant journal : for cell and molecular biology · 2022Article
- Mapping of genetic loci controlling fruit linked morphological traits of melon using developed CAPS markers.Molecular biology reports · 2022Article
- The INRAE Centre for Vegetable Germplasm: Geographically and Phenotypically Diverse Collections and Their Use in Genetics and Plant Breeding.Plants (Basel, Switzerland) · 2022Article
- Identification of Candidate Chromosome Region Related to Melon (Frontiers in plant science · 2022Article
- Building a cluster of NLR genes conferring resistance to pests and pathogens: the story of the Vat gene cluster in cucurbits.Horticulture research · 2021Article
- QTLs and candidate genes analyses for fruit size under domestication and differentiation in melon (Cucumis melo L.) based on high resolution maps.BMC plant biology · 2021Article
- Anchoring a genetic map of an interspecific backcross two family to the genome builds of Elaeis.Journal of genetics · 2021Article
- Construction of a High-Density Genetic Map ofFrontiers in plant science · 2021Article
- Genetic dissection of climacteric fruit ripening in a melon population segregating for ripening behavior.Horticulture research · 2020Article
- Functional Markers for Precision Plant Breeding.International journal of molecular sciences · 2020Review
- High-density NGS-based map construction and genetic dissection of fruit shape and rind netting in Cucumis melo.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
12 more citing papers are in PubMed but not listed here.
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Authors and funding
28 authors at 13 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA number of molecular marker linkage maps have been developed for melon (Cucumis melo L.) over the last two decades. However, these maps were constructed using different marker sets, thus, making comparative analysis among maps difficult. In order to solve this problem, a consensus genetic map in melon was constructed using primarily highly transferable anchor markers that have broad potential use for mapping, synteny, and comparative quantitative trait loci (QTL) analysis, increasing breeding effectiveness and efficiency via marker-assisted selection (MAS).
resultsUnder the framework of the International Cucurbit Genomics Initiative (ICuGI, http://www.icugi.org), an integrated genetic map has been constructed by merging data from eight independent mapping experiments using a genetically diverse array of parental lines. The consensus map spans 1150 cM across the 12 melon linkage groups and is composed of 1592 markers (640 SSRs, 330 SNPs, 252 AFLPs, 239 RFLPs, 89 RAPDs, 15 IMAs, 16 indels and 11 morphological traits) with a mean marker density of 0.72 cM/marker. One hundred and ninety-six of these markers (157 SSRs, 32 SNPs, 6 indels and 1 RAPD) were newly developed, mapped or provided by industry representatives as released markers, including 27 SNPs and 5 indels from genes involved in the organic acid metabolism and transport, and 58 EST-SSRs. Additionally, 85 of 822 SSR markers contributed by Syngenta Seeds were included in the integrated map. In addition, 370 QTL controlling 62 traits from 18 previously reported mapping experiments using genetically diverse parental genotypes were also integrated into the consensus map. Some QTL associated with economically important traits detected in separate studies mapped to similar genomic positions. For example, independently identified QTL controlling fruit shape were mapped on similar genomic positions, suggesting that such QTL are possibly responsible for the phenotypic variability observed for this trait in a broad array of melon germplasm.
conclusionsEven though relatively unsaturated genetic maps in a diverse set of melon market types have been published, the integrated saturated map presented herein should be considered the initial reference map for melon. Most of the mapped markers contained in the reference map are polymorphic in diverse collection of germplasm, and thus are potentially transferrable to a broad array of genetic experimentation (e.g., integration of physical and genetic maps, colinearity analysis, map-based gene cloning, epistasis dissection, and marker-assisted selection).
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