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The genetic basis for panicle trait variation in switchgrass (Panicum virgatum)
KEY MESSAGE: We investigate the genetic basis of panicle architecture in switchgrass in two mapping populations across a latitudinal gradient, and find many stable, repeatable genetic effects and limited genetic interactions with the environment. ABSTRACT: Grass species exhibit large diversity in pa...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325832/ https://www.ncbi.nlm.nih.gov/pubmed/35780149 http://dx.doi.org/10.1007/s00122-022-04096-x |
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author | Zhang, Li MacQueen, Alice Weng, Xiaoyu Behrman, Kathrine D. Bonnette, Jason Reilley, John L. Rouquette, Francis M. Fay, Philip A. Wu, Yanqi Fritschi, Felix B. Mitchell, Robert B. Lowry, David B. Boe, Arvid R. Juenger, Thomas E. |
author_facet | Zhang, Li MacQueen, Alice Weng, Xiaoyu Behrman, Kathrine D. Bonnette, Jason Reilley, John L. Rouquette, Francis M. Fay, Philip A. Wu, Yanqi Fritschi, Felix B. Mitchell, Robert B. Lowry, David B. Boe, Arvid R. Juenger, Thomas E. |
author_sort | Zhang, Li |
collection | PubMed |
description | KEY MESSAGE: We investigate the genetic basis of panicle architecture in switchgrass in two mapping populations across a latitudinal gradient, and find many stable, repeatable genetic effects and limited genetic interactions with the environment. ABSTRACT: Grass species exhibit large diversity in panicle architecture influenced by genes, the environment, and their interaction. The genetic study of panicle architecture in perennial grasses is limited. In this study, we evaluate the genetic basis of panicle architecture including panicle length, primary branching number, and secondary branching number in an outcrossed switchgrass QTL population grown across ten field sites in the central USA through multi-environment mixed QTL analysis. We also evaluate genetic effects in a diversity panel of switchgrass grown at three of the ten field sites using genome-wide association (GWAS) and multivariate adaptive shrinkage. Furthermore, we search for candidate genes underlying panicle traits in both of these independent mapping populations. Overall, 18 QTL were detected in the QTL mapping population for the three panicle traits, and 146 unlinked genomic regions in the diversity panel affected one or more panicle trait. Twelve of the QTL exhibited consistent effects (i.e., no QTL by environment interactions or no QTL × E), and most (four of six) of the effects with QTL × E exhibited site-specific effects. Most (59.3%) significant partially linked diversity panel SNPs had significant effects in all panicle traits and all field sites and showed pervasive pleiotropy and limited environment interactions. Panicle QTL co-localized with significant SNPs found using GWAS, providing additional power to distinguish between true and false associations in the diversity panel. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04096-x. |
format | Online Article Text |
id | pubmed-9325832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93258322022-07-28 The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) Zhang, Li MacQueen, Alice Weng, Xiaoyu Behrman, Kathrine D. Bonnette, Jason Reilley, John L. Rouquette, Francis M. Fay, Philip A. Wu, Yanqi Fritschi, Felix B. Mitchell, Robert B. Lowry, David B. Boe, Arvid R. Juenger, Thomas E. Theor Appl Genet Original Article KEY MESSAGE: We investigate the genetic basis of panicle architecture in switchgrass in two mapping populations across a latitudinal gradient, and find many stable, repeatable genetic effects and limited genetic interactions with the environment. ABSTRACT: Grass species exhibit large diversity in panicle architecture influenced by genes, the environment, and their interaction. The genetic study of panicle architecture in perennial grasses is limited. In this study, we evaluate the genetic basis of panicle architecture including panicle length, primary branching number, and secondary branching number in an outcrossed switchgrass QTL population grown across ten field sites in the central USA through multi-environment mixed QTL analysis. We also evaluate genetic effects in a diversity panel of switchgrass grown at three of the ten field sites using genome-wide association (GWAS) and multivariate adaptive shrinkage. Furthermore, we search for candidate genes underlying panicle traits in both of these independent mapping populations. Overall, 18 QTL were detected in the QTL mapping population for the three panicle traits, and 146 unlinked genomic regions in the diversity panel affected one or more panicle trait. Twelve of the QTL exhibited consistent effects (i.e., no QTL by environment interactions or no QTL × E), and most (four of six) of the effects with QTL × E exhibited site-specific effects. Most (59.3%) significant partially linked diversity panel SNPs had significant effects in all panicle traits and all field sites and showed pervasive pleiotropy and limited environment interactions. Panicle QTL co-localized with significant SNPs found using GWAS, providing additional power to distinguish between true and false associations in the diversity panel. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04096-x. Springer Berlin Heidelberg 2022-07-02 2022 /pmc/articles/PMC9325832/ /pubmed/35780149 http://dx.doi.org/10.1007/s00122-022-04096-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Article Zhang, Li MacQueen, Alice Weng, Xiaoyu Behrman, Kathrine D. Bonnette, Jason Reilley, John L. Rouquette, Francis M. Fay, Philip A. Wu, Yanqi Fritschi, Felix B. Mitchell, Robert B. Lowry, David B. Boe, Arvid R. Juenger, Thomas E. The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title | The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title_full | The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title_fullStr | The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title_full_unstemmed | The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title_short | The genetic basis for panicle trait variation in switchgrass (Panicum virgatum) |
title_sort | genetic basis for panicle trait variation in switchgrass (panicum virgatum) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325832/ https://www.ncbi.nlm.nih.gov/pubmed/35780149 http://dx.doi.org/10.1007/s00122-022-04096-x |
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