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Fine-tuning the performance of ddRAD-seq in the peach genome
The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost, although, in the case of peach, this technology has been scarcely developed. To date, only a standard Genotyping by Sequencing approach (GBS), based on a single restriction with ApeKI...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973760/ https://www.ncbi.nlm.nih.gov/pubmed/33737671 http://dx.doi.org/10.1038/s41598-021-85815-0 |
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author | Aballay, Maximiliano Martín Aguirre, Natalia Cristina Filippi, Carla Valeria Valentini, Gabriel Hugo Sánchez, Gerardo |
author_facet | Aballay, Maximiliano Martín Aguirre, Natalia Cristina Filippi, Carla Valeria Valentini, Gabriel Hugo Sánchez, Gerardo |
author_sort | Aballay, Maximiliano Martín |
collection | PubMed |
description | The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost, although, in the case of peach, this technology has been scarcely developed. To date, only a standard Genotyping by Sequencing approach (GBS), based on a single restriction with ApeKI to reduce genome complexity, has been applied in peach. In this work, we assessed the performance of the double-digest RADseq approach (ddRADseq), by testing 6 double restrictions with the restriction profile generated with ApeKI. The enzyme pair PstI/MboI retained the highest number of loci in concordance with the in silico analysis. Under this condition, the analysis of a diverse germplasm collection (191 peach genotypes) yielded 200,759,000 paired-end (2 × 250 bp) reads that allowed the identification of 113,411 SNP, 13,661 InDel and 2133 SSR. We take advantage of a wide sample set to describe technical scope of the platform. The novel platform presented here represents a useful tool for genomic-based breeding for peach. |
format | Online Article Text |
id | pubmed-7973760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79737602021-03-19 Fine-tuning the performance of ddRAD-seq in the peach genome Aballay, Maximiliano Martín Aguirre, Natalia Cristina Filippi, Carla Valeria Valentini, Gabriel Hugo Sánchez, Gerardo Sci Rep Article The advance of Next Generation Sequencing (NGS) technologies allows high-throughput genotyping at a reasonable cost, although, in the case of peach, this technology has been scarcely developed. To date, only a standard Genotyping by Sequencing approach (GBS), based on a single restriction with ApeKI to reduce genome complexity, has been applied in peach. In this work, we assessed the performance of the double-digest RADseq approach (ddRADseq), by testing 6 double restrictions with the restriction profile generated with ApeKI. The enzyme pair PstI/MboI retained the highest number of loci in concordance with the in silico analysis. Under this condition, the analysis of a diverse germplasm collection (191 peach genotypes) yielded 200,759,000 paired-end (2 × 250 bp) reads that allowed the identification of 113,411 SNP, 13,661 InDel and 2133 SSR. We take advantage of a wide sample set to describe technical scope of the platform. The novel platform presented here represents a useful tool for genomic-based breeding for peach. Nature Publishing Group UK 2021-03-18 /pmc/articles/PMC7973760/ /pubmed/33737671 http://dx.doi.org/10.1038/s41598-021-85815-0 Text en © The Author(s) 2021 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 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/. |
spellingShingle | Article Aballay, Maximiliano Martín Aguirre, Natalia Cristina Filippi, Carla Valeria Valentini, Gabriel Hugo Sánchez, Gerardo Fine-tuning the performance of ddRAD-seq in the peach genome |
title | Fine-tuning the performance of ddRAD-seq in the peach genome |
title_full | Fine-tuning the performance of ddRAD-seq in the peach genome |
title_fullStr | Fine-tuning the performance of ddRAD-seq in the peach genome |
title_full_unstemmed | Fine-tuning the performance of ddRAD-seq in the peach genome |
title_short | Fine-tuning the performance of ddRAD-seq in the peach genome |
title_sort | fine-tuning the performance of ddrad-seq in the peach genome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973760/ https://www.ncbi.nlm.nih.gov/pubmed/33737671 http://dx.doi.org/10.1038/s41598-021-85815-0 |
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