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Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches
BACKGROUND: Berry size is considered as one of the main selection criteria in table grapes breeding programs, due to the consumer preferences. However, berry size is a complex quantitive trait under polygenic control, and its genetic determination of berry weight is not yet fully understood. The aim...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397606/ https://www.ncbi.nlm.nih.gov/pubmed/32746778 http://dx.doi.org/10.1186/s12870-020-02564-4 |
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author | Muñoz-Espinoza, Claudia Di Genova, Alex Sánchez, Alicia Correa, José Espinoza, Alonso Meneses, Claudio Maass, Alejandro Orellana, Ariel Hinrichsen, Patricio |
author_facet | Muñoz-Espinoza, Claudia Di Genova, Alex Sánchez, Alicia Correa, José Espinoza, Alonso Meneses, Claudio Maass, Alejandro Orellana, Ariel Hinrichsen, Patricio |
author_sort | Muñoz-Espinoza, Claudia |
collection | PubMed |
description | BACKGROUND: Berry size is considered as one of the main selection criteria in table grapes breeding programs, due to the consumer preferences. However, berry size is a complex quantitive trait under polygenic control, and its genetic determination of berry weight is not yet fully understood. The aim of this work was to perform marker discovery using a transcriptomic approach, in order to identify and characterize SNP and InDel markers associated with berry size in table grapes. We used an integrative analysis based on RNA-Seq, SNP/InDel search and validation on table grape segregants and varieties with different genetic backgrounds. RESULTS: Thirty SNPs and eight InDels were identified using a transcriptomic approach (RNA-Seq). These markers were selected from SNP/InDel found among segregants from a Ruby x Sultanina population with contrasting phenotypes for berry size. The set of 38 SNP and InDel markers was distributed in eight chromosomes. Genotype-phenotype association analyses were performed using a set of 13 RxS segregants and 41 table grapes varieties with different genetic backgrounds during three seasons. The results showed several degrees of association of these markers with berry size (10.2 to 30.7%) as other berry-related traits such as length and width. The co-localization of SNP and /or InDel markers and previously reported QTLs and candidate genes associated with berry size were analysed. CONCLUSIONS: We identified a set of informative and transferable SNP and InDel markers associated with berry size. Our results suggest the suitability of SNPs and InDels as candidate markers for berry weight in seedless table grape breeding. The identification of genomic regions associated with berry weight in chromosomes 8, 15 and 17 was achieved with supporting evidence derived from a transcriptome experiment focused on SNP/InDel search, as well as from a QTL-linkage mapping approach. New regions possibly associated with berry weight in chromosomes 3, 6, 9 and 14 were identified. |
format | Online Article Text |
id | pubmed-7397606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73976062020-08-06 Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches Muñoz-Espinoza, Claudia Di Genova, Alex Sánchez, Alicia Correa, José Espinoza, Alonso Meneses, Claudio Maass, Alejandro Orellana, Ariel Hinrichsen, Patricio BMC Plant Biol Research Article BACKGROUND: Berry size is considered as one of the main selection criteria in table grapes breeding programs, due to the consumer preferences. However, berry size is a complex quantitive trait under polygenic control, and its genetic determination of berry weight is not yet fully understood. The aim of this work was to perform marker discovery using a transcriptomic approach, in order to identify and characterize SNP and InDel markers associated with berry size in table grapes. We used an integrative analysis based on RNA-Seq, SNP/InDel search and validation on table grape segregants and varieties with different genetic backgrounds. RESULTS: Thirty SNPs and eight InDels were identified using a transcriptomic approach (RNA-Seq). These markers were selected from SNP/InDel found among segregants from a Ruby x Sultanina population with contrasting phenotypes for berry size. The set of 38 SNP and InDel markers was distributed in eight chromosomes. Genotype-phenotype association analyses were performed using a set of 13 RxS segregants and 41 table grapes varieties with different genetic backgrounds during three seasons. The results showed several degrees of association of these markers with berry size (10.2 to 30.7%) as other berry-related traits such as length and width. The co-localization of SNP and /or InDel markers and previously reported QTLs and candidate genes associated with berry size were analysed. CONCLUSIONS: We identified a set of informative and transferable SNP and InDel markers associated with berry size. Our results suggest the suitability of SNPs and InDels as candidate markers for berry weight in seedless table grape breeding. The identification of genomic regions associated with berry weight in chromosomes 8, 15 and 17 was achieved with supporting evidence derived from a transcriptome experiment focused on SNP/InDel search, as well as from a QTL-linkage mapping approach. New regions possibly associated with berry weight in chromosomes 3, 6, 9 and 14 were identified. BioMed Central 2020-08-03 /pmc/articles/PMC7397606/ /pubmed/32746778 http://dx.doi.org/10.1186/s12870-020-02564-4 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Muñoz-Espinoza, Claudia Di Genova, Alex Sánchez, Alicia Correa, José Espinoza, Alonso Meneses, Claudio Maass, Alejandro Orellana, Ariel Hinrichsen, Patricio Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title | Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title_full | Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title_fullStr | Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title_full_unstemmed | Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title_short | Identification of SNPs and InDels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
title_sort | identification of snps and indels associated with berry size in table grapes integrating genetic and transcriptomic approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397606/ https://www.ncbi.nlm.nih.gov/pubmed/32746778 http://dx.doi.org/10.1186/s12870-020-02564-4 |
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