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Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits
BACKGROUND: Yam (Dioscorea spp.) is multiple species with various ploidy level and considered as cash crop in many producing areas. Selection based phenotyping for yield and its related traits such as mosaic virus and anthracnose diseases resistance and plant vigor in multiple species of yam is leng...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334582/ https://www.ncbi.nlm.nih.gov/pubmed/37434107 http://dx.doi.org/10.1186/s12870-023-04350-4 |
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author | Adejumobi, I.I. Agre, Paterne A. Adewumi, A.S. Shonde, T.E. Cipriano, I.M. Komoy, J.L. Adheka, J.G. Onautshu, D.O. |
author_facet | Adejumobi, I.I. Agre, Paterne A. Adewumi, A.S. Shonde, T.E. Cipriano, I.M. Komoy, J.L. Adheka, J.G. Onautshu, D.O. |
author_sort | Adejumobi, I.I. |
collection | PubMed |
description | BACKGROUND: Yam (Dioscorea spp.) is multiple species with various ploidy level and considered as cash crop in many producing areas. Selection based phenotyping for yield and its related traits such as mosaic virus and anthracnose diseases resistance and plant vigor in multiple species of yam is lengthy however, marker information has proven to enhance selection efficiency. METHODOLOGY: In this study, a panel of 182 yam accessions distributed across six yam species were assessed for diversity and marker-traits association study using SNP markers generated from Diversity Array Technology platform. For the traits association analysis, the relation matrix alongside the population structure were used as co-factor to avoid false discovery using Multiple random Mixed Linear Model (MrMLM) followed by gene annotation. RESULTS: Accessions performance were significantly different (p < 0.001) across all the traits with high broad-sense heritability (H(2)). Phenotypic and genotypic correlations showed positive relationships between yield and vigor but negative for yield and yam mosaic disease severity. Population structure revealed k = 6 as optimal clusters-based species. A total of 22 SNP markers were identified to be associated with yield, vigor, mosaic and anthracnose diseases resistance. Gene annotation for the significant SNP loci identified some putative genes associated with primary metabolism, pest and resistance to anthracnose disease, maintenance of NADPH in biosynthetic reaction especially those involving nitro-oxidative stress for resistance to mosaic virus, and seed development, photosynthesis, nutrition use efficiency, stress tolerance, vegetative and reproductive development for tuber yield. CONCLUSION: This study provides valuable insights into the genetic control of plant vigor, anthracnose, mosaic virus resistance, and tuber yield in yam and thus, opens an avenue for developing additional genomic resources for markers-assisted selection focusing on multiple yam species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04350-4. |
format | Online Article Text |
id | pubmed-10334582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103345822023-07-12 Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits Adejumobi, I.I. Agre, Paterne A. Adewumi, A.S. Shonde, T.E. Cipriano, I.M. Komoy, J.L. Adheka, J.G. Onautshu, D.O. BMC Plant Biol Research BACKGROUND: Yam (Dioscorea spp.) is multiple species with various ploidy level and considered as cash crop in many producing areas. Selection based phenotyping for yield and its related traits such as mosaic virus and anthracnose diseases resistance and plant vigor in multiple species of yam is lengthy however, marker information has proven to enhance selection efficiency. METHODOLOGY: In this study, a panel of 182 yam accessions distributed across six yam species were assessed for diversity and marker-traits association study using SNP markers generated from Diversity Array Technology platform. For the traits association analysis, the relation matrix alongside the population structure were used as co-factor to avoid false discovery using Multiple random Mixed Linear Model (MrMLM) followed by gene annotation. RESULTS: Accessions performance were significantly different (p < 0.001) across all the traits with high broad-sense heritability (H(2)). Phenotypic and genotypic correlations showed positive relationships between yield and vigor but negative for yield and yam mosaic disease severity. Population structure revealed k = 6 as optimal clusters-based species. A total of 22 SNP markers were identified to be associated with yield, vigor, mosaic and anthracnose diseases resistance. Gene annotation for the significant SNP loci identified some putative genes associated with primary metabolism, pest and resistance to anthracnose disease, maintenance of NADPH in biosynthetic reaction especially those involving nitro-oxidative stress for resistance to mosaic virus, and seed development, photosynthesis, nutrition use efficiency, stress tolerance, vegetative and reproductive development for tuber yield. CONCLUSION: This study provides valuable insights into the genetic control of plant vigor, anthracnose, mosaic virus resistance, and tuber yield in yam and thus, opens an avenue for developing additional genomic resources for markers-assisted selection focusing on multiple yam species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04350-4. BioMed Central 2023-07-11 /pmc/articles/PMC10334582/ /pubmed/37434107 http://dx.doi.org/10.1186/s12870-023-04350-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Adejumobi, I.I. Agre, Paterne A. Adewumi, A.S. Shonde, T.E. Cipriano, I.M. Komoy, J.L. Adheka, J.G. Onautshu, D.O. Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title | Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title_full | Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title_fullStr | Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title_full_unstemmed | Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title_short | Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits |
title_sort | association mapping in multiple yam species (dioscorea spp.) of quantitative trait loci for yield-related traits |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334582/ https://www.ncbi.nlm.nih.gov/pubmed/37434107 http://dx.doi.org/10.1186/s12870-023-04350-4 |
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