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Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines
Striga hermonthica is a widespread, destructive parasitic plant that causes substantial yield loss to maize productivity in sub-Saharan Africa. Under severe Striga infestation, yield losses can range from 60 to 100% resulting in abandonment of farmers’ lands. Diverse methods have been proposed for S...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683441/ https://www.ncbi.nlm.nih.gov/pubmed/34921181 http://dx.doi.org/10.1038/s41598-021-03566-4 |
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author | Stanley, A. E. Menkir, A. Ifie, B. Paterne, A. A. Unachukwu, N. N. Meseka, S. Mengesha, W. A. Bossey, B. Kwadwo, O. Tongoona, P. B. Oladejo, O. Sneller, C. Gedil, M. |
author_facet | Stanley, A. E. Menkir, A. Ifie, B. Paterne, A. A. Unachukwu, N. N. Meseka, S. Mengesha, W. A. Bossey, B. Kwadwo, O. Tongoona, P. B. Oladejo, O. Sneller, C. Gedil, M. |
author_sort | Stanley, A. E. |
collection | PubMed |
description | Striga hermonthica is a widespread, destructive parasitic plant that causes substantial yield loss to maize productivity in sub-Saharan Africa. Under severe Striga infestation, yield losses can range from 60 to 100% resulting in abandonment of farmers’ lands. Diverse methods have been proposed for Striga management; however, host plant resistance is considered the most effective and affordable to small-scale famers. Thus, conducting a genome-wide association study to identify quantitative trait nucleotides controlling S. hermonthica resistance and mining of relevant candidate genes will expedite the improvement of Striga resistance breeding through marker-assisted breeding. For this study, 150 diverse maize inbred lines were evaluated under Striga infested and non-infested conditions for two years and genotyped using the genotyping-by-sequencing platform. Heritability estimates of Striga damage ratings, emerged Striga plants and grain yield, hereafter referred to as Striga resistance-related traits, were high under Striga infested condition. The mixed linear model (MLM) identified thirty SNPs associated with the three Striga resistance-related traits based on the multi-locus approaches (mrMLM, FASTmrMLM, FASTmrEMMA and pLARmEB). These SNPs explained up to 14% of the total phenotypic variation. Under non-infested condition, four SNPs were associated with grain yield, and these SNPs explained up to 17% of the total phenotypic variation. Gene annotation of significant SNPs identified candidate genes (Leucine-rich repeats, putative disease resistance protein and VQ proteins) with functions related to plant growth, development, and defense mechanisms. The marker-effect prediction was able to identify alleles responsible for predicting high yield and low Striga damage rating in the breeding panel. This study provides valuable insight for marker validation and deployment for Striga resistance breeding in maize. |
format | Online Article Text |
id | pubmed-8683441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86834412021-12-20 Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines Stanley, A. E. Menkir, A. Ifie, B. Paterne, A. A. Unachukwu, N. N. Meseka, S. Mengesha, W. A. Bossey, B. Kwadwo, O. Tongoona, P. B. Oladejo, O. Sneller, C. Gedil, M. Sci Rep Article Striga hermonthica is a widespread, destructive parasitic plant that causes substantial yield loss to maize productivity in sub-Saharan Africa. Under severe Striga infestation, yield losses can range from 60 to 100% resulting in abandonment of farmers’ lands. Diverse methods have been proposed for Striga management; however, host plant resistance is considered the most effective and affordable to small-scale famers. Thus, conducting a genome-wide association study to identify quantitative trait nucleotides controlling S. hermonthica resistance and mining of relevant candidate genes will expedite the improvement of Striga resistance breeding through marker-assisted breeding. For this study, 150 diverse maize inbred lines were evaluated under Striga infested and non-infested conditions for two years and genotyped using the genotyping-by-sequencing platform. Heritability estimates of Striga damage ratings, emerged Striga plants and grain yield, hereafter referred to as Striga resistance-related traits, were high under Striga infested condition. The mixed linear model (MLM) identified thirty SNPs associated with the three Striga resistance-related traits based on the multi-locus approaches (mrMLM, FASTmrMLM, FASTmrEMMA and pLARmEB). These SNPs explained up to 14% of the total phenotypic variation. Under non-infested condition, four SNPs were associated with grain yield, and these SNPs explained up to 17% of the total phenotypic variation. Gene annotation of significant SNPs identified candidate genes (Leucine-rich repeats, putative disease resistance protein and VQ proteins) with functions related to plant growth, development, and defense mechanisms. The marker-effect prediction was able to identify alleles responsible for predicting high yield and low Striga damage rating in the breeding panel. This study provides valuable insight for marker validation and deployment for Striga resistance breeding in maize. Nature Publishing Group UK 2021-12-17 /pmc/articles/PMC8683441/ /pubmed/34921181 http://dx.doi.org/10.1038/s41598-021-03566-4 Text en © The Author(s) 2021 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/) . |
spellingShingle | Article Stanley, A. E. Menkir, A. Ifie, B. Paterne, A. A. Unachukwu, N. N. Meseka, S. Mengesha, W. A. Bossey, B. Kwadwo, O. Tongoona, P. B. Oladejo, O. Sneller, C. Gedil, M. Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title | Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title_full | Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title_fullStr | Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title_full_unstemmed | Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title_short | Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines |
title_sort | association analysis for resistance to striga hermonthica in diverse tropical maize inbred lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683441/ https://www.ncbi.nlm.nih.gov/pubmed/34921181 http://dx.doi.org/10.1038/s41598-021-03566-4 |
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