Evidence map›Paper›PMID 29674702›Full record

ArticleScientific reports2018

Identification of QTL controlling domestication-related traits in cowpea (Vigna unguiculata L. Walp).

Sassoum Lo, María Muñoz-Amatriaín, Ousmane Boukar, Ira Herniter, Ndiaga Cisse, Yi-Ning Guo, Philip A Roberts, Shizhong Xu, Christian Fatokun, Timothy J Close

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

  1. Article
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  3. Genomic approaches to build de novo elite breeding gene pools from locally adapted landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  9. Identification of novel genomic regions associated with yield-related traits in cowpea (Molecular breeding : new strategies in plant improvement · 2025
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4 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sassoum LoDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.
María Muñoz-AmatriaínDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA. maria.munoz-amatriain@ucr.edu.
Ousmane BoukarInternational Institute of Tropical Agriculture, Ibadan, Nigeria.
Ira HerniterDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.
Ndiaga CisseCentre d'Etude Régional pour l'Amélioration de l'Adaptation à la Sècheresse, ISRA/CERAAS, Thies, Senegal.
Yi-Ning GuoDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.
Philip A RobertsDepartment of Nematology, University of California Riverside, Riverside, CA, USA.
Shizhong XuDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.ORCID 0000-0001-6789-6655
Christian FatokunInternational Institute of Tropical Agriculture, Ibadan, Nigeria.
Timothy J CloseDepartment of Botany and Plant Sciences, University of California Riverside, Riverside, CA, USA.ORCID 0000-0002-9759-3775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cowpea (Vigna unguiculata L. Walp) is a warm-season legume with a genetically diverse gene-pool composed of wild and cultivated forms. Cowpea domestication involved considerable phenotypic changes from the wild progenitor, including reduction of pod shattering, increased organ size, and changes in flowering time. Little is known about the genetic basis underlying these changes. In this study, 215 recombinant inbred lines derived from a cross between a cultivated and a wild cowpea accession were used to evaluate nine domestication-related traits (pod shattering, peduncle length, flower color, days to flowering, 100-seed weight, pod length, leaf length, leaf width and seed number per pod). A high-density genetic map containing 17,739 single nucleotide polymorphisms was constructed and used to identify 16 quantitative trait loci (QTL) for these nine traits. Based on annotations of the cowpea reference genome, genes within these regions are reported. Four regions with clusters of QTL were identified, including one on chromosome 8 related to increased organ size. This study provides new knowledge of the genomic regions controlling domestication-related traits in cowpea as well as candidate genes underlying those QTL. This information can help to exploit wild relatives in cowpea breeding programs.

Indexed as

DomesticationGenes, PlantQuantitative Trait LociChromosomes, PlantCluster AnalysisGenome, PlantPhenotypeVigna

Identifiers

PMID29674702
PMCPMC5908840

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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.