Skip to main content

ORIGINAL RESEARCH article

Front. Hortic.
Sec. Breeding and Genetics
Volume 3 - 2024 | doi: 10.3389/fhort.2024.1459476
This article is part of the Research Topic Harnessing The Potential of De Novo Domestication For Sustainable Healthy Diets View all 4 articles

Exploring Quantitative Trait Nucleotides (QTNs) Associated with Response to Yam Mosaic Virus Severity and Tuber Yield Traits in Dioscorea praehensilis Benth. Germplasm via Genome-Wide Association Scanning

Provisionally accepted
Adeyinka S. Adewumi Adeyinka S. Adewumi 1*Idris Adejumobi Idris Adejumobi 1Vincent Agyemang Opoku Vincent Agyemang Opoku 2Paul Asare Paul Asare 2Michael O. Adu Michael O. Adu 2Taah J. Kingsley Taah J. Kingsley 2Adekemi Stanley Adekemi Stanley 1Temitope Shonde Temitope Shonde 1Emmanuel Afutu Emmanuel Afutu 2Selorm Akaba Selorm Akaba 2Hapson Mushoriwa Hapson Mushoriwa 1Paterne A. AGRE Paterne A. AGRE 1*
  • 1 International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
  • 2 University of Cape Coast, Cape Coast, Central Region, Ghana

The final, formatted version of the article will be published soon.

    Yam production in sub-Saharan African countries faces challenges due to susceptibility to yam mosaic virus (YMV) disease, leading to significant yield losses. Dioscorea praehensilis, a semicultivated yam species known for its high yield and resistance to YMV, can be utilized as a new variety and a gene source to enhance tuber yield and YMV resistance of White Guinea yam.Investigating the genetic basis of tuber yield-related traits and YMV resistance in D. praehensilis through association mapping will facilitate the traits discovery and deployment into the yam breeding program.A total of 132 D. praehensilis genotypes were evaluated in 2022 and 2023 seasons for tuber yield per plant, tuber size ratio and for mosaic virus severity response. The genotypes were sequenced using SNP markers generated from Diversity Array Technology Platform. The trait association analysis was conducted using mixed linear model implemented in GWASpoly package followed for putative genes analysis.Population structure and phylogeny analyses using 4,525 single nucleotide polymorphism (SNP) markers grouped the 132 D. praehensilis genotypes into three clusters. Using multiple gene action models which include dominant, additive, and general models, 27 SNP markers were significantly identified to be associated with the tuber yield, tuber size ratio and yam mosaic virus severity. Of these 27 SNPs, we identified three and two SNP markers for tuber yield and yam mosaic virus severity, respectively as stable markers across years. Using gene annotation, we identified 10 putative genes such as Serine/threonine-/ dual specificity protein kinase, catalytic domain involved in starch biosynthesis and Ribosomal protein L5 involved in defense signaling against virus diseases. The marker effect revealed that alleles CC and TT were associated with high tuber yield, while AA and AC were linked with low tuber yield. For YMV severity response, alleles CC and CT were linked with low YMV severity, while TT was associated high YMV severity prediction.The results of this study offer valuable insights into comprehending the functional networks involved in developing strategies to enhance tuber yield and resistance to yam mosaic virus in Dioscorea spp.

    Keywords: bush yam, DArT SNP markers, GWAS, Yield-related traits, YMV, GWASpoly

    Received: 04 Jul 2024; Accepted: 17 Sep 2024.

    Copyright: © 2024 Adewumi, Adejumobi, Agyemang Opoku, Asare, Adu, Kingsley, Stanley, Shonde, Afutu, Akaba, Mushoriwa and AGRE. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Adeyinka S. Adewumi, International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria
    Paterne A. AGRE, International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.