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Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm

Red clover (Trifolium pratense L.) is a highly adaptable forage crop for temperate livestock agriculture. Genetic variation can be identified, via molecular techniques, and used to assess diversity among populations that may otherwise be indistinguishable. Here we have used genotyping by sequencing...

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Autores principales: Jones, Charlotte, De Vega, Jose, Lloyd, David, Hegarty, Matthew, Ayling, Sarah, Powell, Wayne, Skøt, Leif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239897/
https://www.ncbi.nlm.nih.gov/pubmed/32433569
http://dx.doi.org/10.1038/s41598-020-64989-z
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author Jones, Charlotte
De Vega, Jose
Lloyd, David
Hegarty, Matthew
Ayling, Sarah
Powell, Wayne
Skøt, Leif
author_facet Jones, Charlotte
De Vega, Jose
Lloyd, David
Hegarty, Matthew
Ayling, Sarah
Powell, Wayne
Skøt, Leif
author_sort Jones, Charlotte
collection PubMed
description Red clover (Trifolium pratense L.) is a highly adaptable forage crop for temperate livestock agriculture. Genetic variation can be identified, via molecular techniques, and used to assess diversity among populations that may otherwise be indistinguishable. Here we have used genotyping by sequencing (GBS) to determine the genetic variation and population structure in red clover natural populations from Europe and Asia, and varieties or synthetic populations. Cluster analysis differentiated the collection into four large regional groups: Asia, Iberia, UK, and Central Europe. The five varieties clustered with the geographical area from which they were derived. Two methods (BayeScan and Samβada) were used to search for outlier loci indicating signatures of selection. A total of 60 loci were identified by both methods, but no specific genomic region was highlighted. The rate of decay in linkage disequilibrium was fast, and no significant evidence of any bottlenecks was found. Phenotypic analysis showed that a more prostrate and spreading growth habit was predominantly found among populations from Iberia and the UK. A genome wide association study identified a single nucleotide polymorphism (SNP) located in a homologue of the VEG2 gene from pea, associated with flowering time. The identification of genetic variation within the natural populations is likely to be useful for enhancing the breeding of red clover in the future.
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spelling pubmed-72398972020-05-29 Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm Jones, Charlotte De Vega, Jose Lloyd, David Hegarty, Matthew Ayling, Sarah Powell, Wayne Skøt, Leif Sci Rep Article Red clover (Trifolium pratense L.) is a highly adaptable forage crop for temperate livestock agriculture. Genetic variation can be identified, via molecular techniques, and used to assess diversity among populations that may otherwise be indistinguishable. Here we have used genotyping by sequencing (GBS) to determine the genetic variation and population structure in red clover natural populations from Europe and Asia, and varieties or synthetic populations. Cluster analysis differentiated the collection into four large regional groups: Asia, Iberia, UK, and Central Europe. The five varieties clustered with the geographical area from which they were derived. Two methods (BayeScan and Samβada) were used to search for outlier loci indicating signatures of selection. A total of 60 loci were identified by both methods, but no specific genomic region was highlighted. The rate of decay in linkage disequilibrium was fast, and no significant evidence of any bottlenecks was found. Phenotypic analysis showed that a more prostrate and spreading growth habit was predominantly found among populations from Iberia and the UK. A genome wide association study identified a single nucleotide polymorphism (SNP) located in a homologue of the VEG2 gene from pea, associated with flowering time. The identification of genetic variation within the natural populations is likely to be useful for enhancing the breeding of red clover in the future. Nature Publishing Group UK 2020-05-20 /pmc/articles/PMC7239897/ /pubmed/32433569 http://dx.doi.org/10.1038/s41598-020-64989-z Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jones, Charlotte
De Vega, Jose
Lloyd, David
Hegarty, Matthew
Ayling, Sarah
Powell, Wayne
Skøt, Leif
Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title_full Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title_fullStr Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title_full_unstemmed Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title_short Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
title_sort population structure and genetic diversity in red clover (trifolium pratense l.) germplasm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239897/
https://www.ncbi.nlm.nih.gov/pubmed/32433569
http://dx.doi.org/10.1038/s41598-020-64989-z
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