ArticlePloS one2017
Meta-QTL for resistance to white mold in common bean.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.
- Meta-analysis of QTLs for drought, heat, and salinity tolerance identifies high-confidence MQTLs and candidate genes in chickpea (Journal of biosciences · 2025Pooled it
- Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.).The plant genome · 2023Pooled it
- Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.BMC genomics · 2022Pooled it
- Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Pooled it
- Integrative genomic analyses reveal candidate genes for the Ur-3 and Ur-7 rust resistance loci in common bean.The plant genome · 2026Article
- Molecular Breeding for Fungal Resistance in Common Bean.International journal of molecular sciences · 2025Review
- Identification of Stable Meta-QTLs and Candidate Genes Underlying Fiber Quality and Agronomic Traits in Cotton.Plants (Basel, Switzerland) · 2025Article
- Mapping resistance to Sclerotinia white mold in two pinto bean recombinant inbred line populations.The plant genome · 2025Article
- Screening for resistance to four fungal diseases and associated genomic regions in a snap bean diversity panel.Frontiers in plant science · 2024Article
- Integrating de novo QTL-seq and linkage mapping to identify quantitative trait loci conditioning physiological resistance and avoidance to white mold disease in dry bean.The plant genome · 2023Article
- In Silico Integrated Analysis of Genomic, Transcriptomic, and Proteomic Data Reveals QTL-Specific Genes for Bacterial Canker Resistance in Tomato (Current issues in molecular biology · 2023Article
- Linked candidate genes of different functions for white mold resistance in common bean (Frontiers in plant science · 2023Article
- Meta-QTL Analysis for Yield Components in Common Bean (Plants (Basel, Switzerland) · 2022Article
- Article
- Genetic Augmentation of Legume Crops Using Genomic Resources and Genotyping Platforms for Nutritional Food Security.Plants (Basel, Switzerland) · 2022Review
- New genomic regions associated with white mold resistance in dry bean using a MAGIC population.The plant genome · 2022Article
- Characterization of fungal pathogens and germplasm screening for disease resistance in the main production area of the common bean in Argentina.Frontiers in plant science · 2022Review
- Delineating meta-quantitative trait loci for anthracnose resistance in common bean (Frontiers in plant science · 2022Article
- Molecular mechanisms underlying multi-level defense responses of horticultural crops to fungal pathogens.Horticulture research · 2022Article
- Genomic Approaches to Identify Molecular Bases of Crop Resistance to Diseases and to Develop Future Breeding Strategies.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
White mold, caused by the fungus Sclerotinia sclerotiorum (Lib.) de Bary, is a major disease that limits common bean production and quality worldwide. The host-pathogen interaction is complex, with partial resistance in the host inherited as a quantitative trait with low to moderate heritability. Our objective was to identify meta-QTL conditioning partial resistance to white mold from individual QTL identified across multiple populations and environments. The physical positions for 37 individual QTL were identified across 14 recombinant inbred bi-parental populations (six new, three re-genotyped, and five from the literature). A meta-QTL analysis of the 37 QTL was conducted using the genetic linkage map of Stampede x Red Hawk population as the reference. The 37 QTL condensed into 17 named loci (12 previously named and five new) of which nine were defined as meta-QTL WM1.1, WM2.2, WM3.1, WM5.4, WM6.2, WM7.1, WM7.4, WM7.5, and WM8.3. The nine meta-QTL had confidence intervals ranging from 0.65 to 9.41 Mb. Candidate genes shown to express under S. sclerotiorum infection in other studies, including cell wall receptor kinase, COI1, ethylene responsive transcription factor, peroxidase, and MYB transcription factor, were found within the confidence interval for five of the meta-QTL. The nine meta-QTL are recommended as potential targets for MAS for partial resistance to white mold in common bean.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.