SynthesisBMC genomics2022
Genome-wide meta-QTL analyses provide novel insight into disease resistance repertoires in common bean.
Synthesis in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Whole-genome meta-analysis coupled with haplotype analysis reveal new genes and functional haplotypes conferring pre-harvest sprouting in rice.BMC plant biology · 2025Pooled it
- Integrated meta-analysis and transcriptomics pinpoint genomic loci and novel candidate genes associated with submergence tolerance in rice.BMC genomics · 2024Pooled it
- Beyond Nitrogen Fixation: Multifunctional Roles of Common Bean in Organic Agroecosystems and Ecosystem-Oriented Breeding Strategies.Plants (Basel, Switzerland) · 2026Review
- Meta-QTL Analysis Reveals Consensus Genomic Regions and Candidate Genes for Resistance to Sudden Death Syndrome in Soybean.Plants (Basel, Switzerland) · 2026Article
- Unveiling core genomic regions shaping plant architecture, productivity, and seed quality traits in sesame (Sesamum indicum L.): insights from Meta-QTL study into breeding targets.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Article
- QTL mapping and identification of linked markers for anthracnose fruit rot resistance inFrontiers in plant science · 2026Article
- Integrating Morphological, Pathogenic, and Molecular Approaches to CharacterizeCurrent issues in molecular biology · 2025Article
- Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Wheat Drought Tolerance: Unveiling a Synergistic Future with Conventional and Molecular Breeding Strategies.Plants (Basel, Switzerland) · 2025Review
- Whole-genome resequencing of common bean elite breeding lines.Scientific reports · 2023Article
- Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis.Heliyon · 2023Article
- Management of Antracnosis with Electrochemically Activated Salt Solutions (EASSs) on Bean Culture.Biology · 2023Article
- Nanofungicides with Selenium and Silicon Can Boost the Growth and Yield of Common Bean (Microorganisms · 2023Article
- Mapping yield and yield-related traits using diverse common bean germplasm.Frontiers in genetics · 2023Article
- Meta-QTL Analysis for Yield Components in Common Bean (Plants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCommon bean (Phaseolus vulgaris) is considered a staple food in a number of developing countries. Several diseases attack the crop leading to substantial economic losses around the globe. However, the crop has rarely been investigated for multiple disease resistance traits using Meta-analysis approach. RESULTS AND
conclusionsIn this study, in order to identify the most reliable and stable quantitative trait loci (QTL) conveying disease resistance in common bean, we carried out a meta-QTL (MQTL) analysis using 152 QTLs belonging to 44 populations reported in 33 publications within the past 20 years. These QTLs were decreased into nine MQTLs and the average of confidence interval (CI) was reduced by 2.64 folds with an average of 5.12 cM in MQTLs. Uneven distribution of MQTLs across common bean genome was noted where sub-telomeric regions carry most of the corresponding genes and MQTLs. One MQTL was identified to be specifically associated with resistance to halo blight disease caused by the bacterial pathogen Pseudomonas savastanoi pv. phaseolicola, while three and one MQTLs were specifically associated with resistance to white mold and anthracnose caused by the fungal pathogens Sclerotinia sclerotiorum and Colletotrichum lindemuthianum, respectively. Furthermore, two MQTLs were detected governing resistance to halo blight and anthracnose, while two MQTLs were detected for resistance against anthracnose and white mold, suggesting putative genes governing resistance against these diseases at a shared locus. Comparative genomics and synteny analyses provide a valuable strategy to identify a number of well‑known functionally described genes as well as numerous putative novels candidate genes in common bean, Arabidopsis and soybean genomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.