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K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology

BACKGROUND: K-seq, a new genotyping methodology based on the amplification of genomic regions using two steps of Klenow amplification with short oligonucleotides, followed by standard PCR and Illumina sequencing, is presented. The protocol was accompanied by software developed to aid with primer set...

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Autores principales: Ziarsolo, Peio, Hasing, Tomas, Hilario, Rebeca, Garcia-Carpintero, Victor, Blanca, Jose, Bombarely, Aureliano, Cañizares, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993484/
https://www.ncbi.nlm.nih.gov/pubmed/33766048
http://dx.doi.org/10.1186/s13007-021-00733-6
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author Ziarsolo, Peio
Hasing, Tomas
Hilario, Rebeca
Garcia-Carpintero, Victor
Blanca, Jose
Bombarely, Aureliano
Cañizares, Joaquin
author_facet Ziarsolo, Peio
Hasing, Tomas
Hilario, Rebeca
Garcia-Carpintero, Victor
Blanca, Jose
Bombarely, Aureliano
Cañizares, Joaquin
author_sort Ziarsolo, Peio
collection PubMed
description BACKGROUND: K-seq, a new genotyping methodology based on the amplification of genomic regions using two steps of Klenow amplification with short oligonucleotides, followed by standard PCR and Illumina sequencing, is presented. The protocol was accompanied by software developed to aid with primer set design. RESULTS: As the first examples, K-seq in species as diverse as tomato, dog and wheat was developed. K-seq provided genetic distances similar to those based on WGS in dogs. Experiments comparing K-seq and GBS in tomato showed similar genetic results, although K-seq had the advantage of finding more SNPs for the same number of Illumina reads. The technology reproducibility was tested with two independent runs of the tomato samples, and the correlation coefficient of the SNP coverages between samples was 0.8 and the genotype match was above 94%. K-seq also proved to be useful in polyploid species. The wheat samples generated specific markers for all subgenomes, and the SNPs generated from the diploid ancestors were located in the expected subgenome with accuracies greater than 80%. CONCLUSION: K-seq is an open, patent-unencumbered, easy-to-set-up, cost-effective and reliable technology ready to be used by any molecular biology laboratory without special equipment in many genetic studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00733-6.
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spelling pubmed-79934842021-03-26 K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology Ziarsolo, Peio Hasing, Tomas Hilario, Rebeca Garcia-Carpintero, Victor Blanca, Jose Bombarely, Aureliano Cañizares, Joaquin Plant Methods Methodology BACKGROUND: K-seq, a new genotyping methodology based on the amplification of genomic regions using two steps of Klenow amplification with short oligonucleotides, followed by standard PCR and Illumina sequencing, is presented. The protocol was accompanied by software developed to aid with primer set design. RESULTS: As the first examples, K-seq in species as diverse as tomato, dog and wheat was developed. K-seq provided genetic distances similar to those based on WGS in dogs. Experiments comparing K-seq and GBS in tomato showed similar genetic results, although K-seq had the advantage of finding more SNPs for the same number of Illumina reads. The technology reproducibility was tested with two independent runs of the tomato samples, and the correlation coefficient of the SNP coverages between samples was 0.8 and the genotype match was above 94%. K-seq also proved to be useful in polyploid species. The wheat samples generated specific markers for all subgenomes, and the SNPs generated from the diploid ancestors were located in the expected subgenome with accuracies greater than 80%. CONCLUSION: K-seq is an open, patent-unencumbered, easy-to-set-up, cost-effective and reliable technology ready to be used by any molecular biology laboratory without special equipment in many genetic studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-021-00733-6. BioMed Central 2021-03-25 /pmc/articles/PMC7993484/ /pubmed/33766048 http://dx.doi.org/10.1186/s13007-021-00733-6 Text en © The Author(s) 2021 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 Methodology
Ziarsolo, Peio
Hasing, Tomas
Hilario, Rebeca
Garcia-Carpintero, Victor
Blanca, Jose
Bombarely, Aureliano
Cañizares, Joaquin
K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title_full K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title_fullStr K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title_full_unstemmed K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title_short K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology
title_sort k-seq, an affordable, reliable, and open klenow ngs-based genotyping technology
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993484/
https://www.ncbi.nlm.nih.gov/pubmed/33766048
http://dx.doi.org/10.1186/s13007-021-00733-6
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