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Genome wide association study of 5 agronomic traits in olive (Olea europaea L.)
Olive (Olea europaea L.) is one of the most economically and historically important fruit crops worldwide. Genetic progress for valuable agronomic traits has been slow in olive despite its importance and benefits. Advances in next generation sequencing technologies provide inexpensive and highly rep...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904458/ https://www.ncbi.nlm.nih.gov/pubmed/31822760 http://dx.doi.org/10.1038/s41598-019-55338-w |
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author | Kaya, Hilal Betul Akdemir, Deniz Lozano, Roberto Cetin, Oznur Sozer Kaya, Hulya Sahin, Mustafa Smith, Jenny L. Tanyolac, Bahattin Jannink, Jean-Luc |
author_facet | Kaya, Hilal Betul Akdemir, Deniz Lozano, Roberto Cetin, Oznur Sozer Kaya, Hulya Sahin, Mustafa Smith, Jenny L. Tanyolac, Bahattin Jannink, Jean-Luc |
author_sort | Kaya, Hilal Betul |
collection | PubMed |
description | Olive (Olea europaea L.) is one of the most economically and historically important fruit crops worldwide. Genetic progress for valuable agronomic traits has been slow in olive despite its importance and benefits. Advances in next generation sequencing technologies provide inexpensive and highly reproducible genotyping approaches such as Genotyping by Sequencing, enabling genome wide association study (GWAS). Here we present the first comprehensive GWAS study on olive using GBS. A total of 183 accessions (FULL panel) were genotyped using GBS, 94 from the Turkish Olive GenBank Resource (TOGR panel) and 89 from the USDA-ARS National Clonal Germplasm Repository (NCGR panel) in the USA. After filtering low quality and redundant markers, GWAS was conducted using 24,977 SNPs in FULL, TOGR and NCGR panels. In total, 52 significant associations were detected for leaf length, fruit weight, stone weight and fruit flesh to pit ratio using the MLM_K. Significant GWAS hits were mapped to their positions and 19 candidate genes were identified within a 10-kb distance of the most significant SNP. Our findings provide a framework for the development of markers and identification of candidate genes that could be used in olive breeding programs. |
format | Online Article Text |
id | pubmed-6904458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69044582019-12-13 Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) Kaya, Hilal Betul Akdemir, Deniz Lozano, Roberto Cetin, Oznur Sozer Kaya, Hulya Sahin, Mustafa Smith, Jenny L. Tanyolac, Bahattin Jannink, Jean-Luc Sci Rep Article Olive (Olea europaea L.) is one of the most economically and historically important fruit crops worldwide. Genetic progress for valuable agronomic traits has been slow in olive despite its importance and benefits. Advances in next generation sequencing technologies provide inexpensive and highly reproducible genotyping approaches such as Genotyping by Sequencing, enabling genome wide association study (GWAS). Here we present the first comprehensive GWAS study on olive using GBS. A total of 183 accessions (FULL panel) were genotyped using GBS, 94 from the Turkish Olive GenBank Resource (TOGR panel) and 89 from the USDA-ARS National Clonal Germplasm Repository (NCGR panel) in the USA. After filtering low quality and redundant markers, GWAS was conducted using 24,977 SNPs in FULL, TOGR and NCGR panels. In total, 52 significant associations were detected for leaf length, fruit weight, stone weight and fruit flesh to pit ratio using the MLM_K. Significant GWAS hits were mapped to their positions and 19 candidate genes were identified within a 10-kb distance of the most significant SNP. Our findings provide a framework for the development of markers and identification of candidate genes that could be used in olive breeding programs. Nature Publishing Group UK 2019-12-10 /pmc/articles/PMC6904458/ /pubmed/31822760 http://dx.doi.org/10.1038/s41598-019-55338-w Text en © The Author(s) 2019 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 Kaya, Hilal Betul Akdemir, Deniz Lozano, Roberto Cetin, Oznur Sozer Kaya, Hulya Sahin, Mustafa Smith, Jenny L. Tanyolac, Bahattin Jannink, Jean-Luc Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title | Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title_full | Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title_fullStr | Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title_full_unstemmed | Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title_short | Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) |
title_sort | genome wide association study of 5 agronomic traits in olive (olea europaea l.) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904458/ https://www.ncbi.nlm.nih.gov/pubmed/31822760 http://dx.doi.org/10.1038/s41598-019-55338-w |
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