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Discovering useful genetic variation in the seed parent gene pool for sorghum improvement
Multi-parent populations contain valuable genetic material for dissecting complex, quantitative traits and provide a unique opportunity to capture multi-allelic variation compared to the biparental populations. A multi-parent advanced generation inter-cross (MAGIC) B-line (MBL) population composed o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544336/ https://www.ncbi.nlm.nih.gov/pubmed/37790706 http://dx.doi.org/10.3389/fgene.2023.1221148 |
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author | Kumar, Neeraj Boatwright, J. Lucas Sapkota, Sirjan Brenton, Zachary W. Ballén-Taborda, Carolina Myers, Matthew T. Cox, William A. Jordan, Kathleen E. Kresovich, Stephen Boyles, Richard E. |
author_facet | Kumar, Neeraj Boatwright, J. Lucas Sapkota, Sirjan Brenton, Zachary W. Ballén-Taborda, Carolina Myers, Matthew T. Cox, William A. Jordan, Kathleen E. Kresovich, Stephen Boyles, Richard E. |
author_sort | Kumar, Neeraj |
collection | PubMed |
description | Multi-parent populations contain valuable genetic material for dissecting complex, quantitative traits and provide a unique opportunity to capture multi-allelic variation compared to the biparental populations. A multi-parent advanced generation inter-cross (MAGIC) B-line (MBL) population composed of 708 F(6) recombinant inbred lines (RILs), was recently developed from four diverse founders. These selected founders strategically represented the four most prevalent botanical races (kafir, guinea, durra, and caudatum) to capture a significant source of genetic variation to study the quantitative traits in grain sorghum [Sorghum bicolor (L.) Moench]. MBL was phenotyped at two field locations for seven yield-influencing traits: panicle type (PT), days to anthesis (DTA), plant height (PH), grain yield (GY), 1000-grain weight (TGW), tiller number per meter (TN) and yield per panicle (YPP). High phenotypic variation was observed for all the quantitative traits, with broad-sense heritabilities ranging from 0.34 (TN) to 0.84 (PH). The entire population was genotyped using Diversity Arrays Technology (DArTseq), and 8,800 single nucleotide polymorphisms (SNPs) were generated. A set of polymorphic, quality-filtered markers (3,751 SNPs) and phenotypic data were used for genome-wide association studies (GWAS). We identified 52 marker-trait associations (MTAs) for the seven traits using BLUPs generated from replicated plots in two locations. We also identified desirable allelic combinations based on the plant height loci (Dw1, Dw2, and Dw3), which influences yield related traits. Additionally, two novel MTAs were identified each on Chr1 and Chr7 for yield traits independent of dwarfing genes. We further performed a multi-variate adaptive shrinkage analysis and 15 MTAs with pleiotropic effect were identified. The five best performing MBL progenies were selected carrying desirable allelic combinations. Since the MBL population was designed to capture significant diversity for maintainer line (B-line) accessions, these progenies can serve as valuable resources to develop superior sorghum hybrids after validation of their general combining abilities via crossing with elite pollinators. Further, newly identified desirable allelic combinations can be used to enrich the maintainer germplasm lines through marker-assisted backcross breeding. |
format | Online Article Text |
id | pubmed-10544336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105443362023-10-03 Discovering useful genetic variation in the seed parent gene pool for sorghum improvement Kumar, Neeraj Boatwright, J. Lucas Sapkota, Sirjan Brenton, Zachary W. Ballén-Taborda, Carolina Myers, Matthew T. Cox, William A. Jordan, Kathleen E. Kresovich, Stephen Boyles, Richard E. Front Genet Genetics Multi-parent populations contain valuable genetic material for dissecting complex, quantitative traits and provide a unique opportunity to capture multi-allelic variation compared to the biparental populations. A multi-parent advanced generation inter-cross (MAGIC) B-line (MBL) population composed of 708 F(6) recombinant inbred lines (RILs), was recently developed from four diverse founders. These selected founders strategically represented the four most prevalent botanical races (kafir, guinea, durra, and caudatum) to capture a significant source of genetic variation to study the quantitative traits in grain sorghum [Sorghum bicolor (L.) Moench]. MBL was phenotyped at two field locations for seven yield-influencing traits: panicle type (PT), days to anthesis (DTA), plant height (PH), grain yield (GY), 1000-grain weight (TGW), tiller number per meter (TN) and yield per panicle (YPP). High phenotypic variation was observed for all the quantitative traits, with broad-sense heritabilities ranging from 0.34 (TN) to 0.84 (PH). The entire population was genotyped using Diversity Arrays Technology (DArTseq), and 8,800 single nucleotide polymorphisms (SNPs) were generated. A set of polymorphic, quality-filtered markers (3,751 SNPs) and phenotypic data were used for genome-wide association studies (GWAS). We identified 52 marker-trait associations (MTAs) for the seven traits using BLUPs generated from replicated plots in two locations. We also identified desirable allelic combinations based on the plant height loci (Dw1, Dw2, and Dw3), which influences yield related traits. Additionally, two novel MTAs were identified each on Chr1 and Chr7 for yield traits independent of dwarfing genes. We further performed a multi-variate adaptive shrinkage analysis and 15 MTAs with pleiotropic effect were identified. The five best performing MBL progenies were selected carrying desirable allelic combinations. Since the MBL population was designed to capture significant diversity for maintainer line (B-line) accessions, these progenies can serve as valuable resources to develop superior sorghum hybrids after validation of their general combining abilities via crossing with elite pollinators. Further, newly identified desirable allelic combinations can be used to enrich the maintainer germplasm lines through marker-assisted backcross breeding. Frontiers Media S.A. 2023-09-18 /pmc/articles/PMC10544336/ /pubmed/37790706 http://dx.doi.org/10.3389/fgene.2023.1221148 Text en Copyright © 2023 Kumar, Boatwright, Sapkota, Brenton, Ballén-Taborda, Myers, Cox, Jordan, Kresovich and Boyles. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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. |
spellingShingle | Genetics Kumar, Neeraj Boatwright, J. Lucas Sapkota, Sirjan Brenton, Zachary W. Ballén-Taborda, Carolina Myers, Matthew T. Cox, William A. Jordan, Kathleen E. Kresovich, Stephen Boyles, Richard E. Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title | Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title_full | Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title_fullStr | Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title_full_unstemmed | Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title_short | Discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
title_sort | discovering useful genetic variation in the seed parent gene pool for sorghum improvement |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544336/ https://www.ncbi.nlm.nih.gov/pubmed/37790706 http://dx.doi.org/10.3389/fgene.2023.1221148 |
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