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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...

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Autores principales: Aballay, Maximiliano Martín, Aguirre, Natalia Cristina, Filippi, Carla Valeria, Valentini, Gabriel Hugo, Sánchez, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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