Evidence map›Paper›PMID 41193970›Full record

ArticleBMC plant biology2025

Combination of QTL mapping and GWAS for fine mapping and gene mining of drought tolerance and seed yield components in faba bean (Vicia faba L.).

Natalia Gutierrez, Ana M Torres

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Natalia GutierrezÁrea de Genómica y Biotecnología, IFAPA-Centro Alameda del Obispo, Apdo 3092, Córdoba, 14080, Spain. natalia.gutierrez.leiva@juntadeandalucia.es.ORCID http://orcid.org/0000-0001-5248-0390
Ana M TorresÁrea de Genómica y Biotecnología, IFAPA-Centro Alameda del Obispo, Apdo 3092, Córdoba, 14080, Spain.

Funding

co-financed by the European Regional Development Fund (ERDF) PR.AVA23.INV2023.009European Union's Horizon Europe research BELIS (No. 101081878)Ministerio de Ciencia e Innovación PID2020-114952RR-I00
6 · The paper itself

Abstract

backgroundIncreasing crop yields in the face of climate change is a key goal in faba bean breeding. By integrating multiple data sets, we combine recent QTL and GWAS analyses for yield and drought resistance and uncover the most consistent genomic regions related with these traits. We determine the physical position of the significant markers in the reference faba bean genome and assess the co-localization of significant QTNs with stable QTLs, thus pinpointing the most likely candidate genes.

resultsOne hundred fifty-two annotated genes, found in 10 overlapping genomic regions, were predicted as faba bean candidate genes for drought and yield related traits and many of them were closely related to genes previously identified and validated in other crops. Several significant markers appear to influence multiple traits, sometimes even seemingly unrelated ones suggesting potential pleiotropy or close physical linkage, although further validation is required.

conclusionIntegrating previously published QTLs and GWAS results for yield and drought related traits and projecting the significant markers onto the physical reference genome we identified overlapping regions and mine candidate genes within those intervals. The results of this study significantly advance our understanding of the genetic architecture of various traits and provide useful information of candidate genes that might have potential for selection in future faba bean breeding programs.

Indexed as

Quantitative Trait LociSeedsVicia fabaChromosome MappingDrought ResistanceDroughtsGenome-Wide Association StudyPhenotypeCandidate geneCluster orthologous group (COG)DroughtFaba beanGWASOverlapping regionsQTLQTNYield

Identifiers

PMID41193970
PMCPMC12590606

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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.