K-seq, an affordable, reliable, and open Klenow NGS-based genotyping technology.
GRR
Genotyping
K-mer
K-seq
Klenow polymerase
Low cost
NGS
SNP
Journal
Plant methods
ISSN: 1746-4811
Titre abrégé: Plant Methods
Pays: England
ID NLM: 101245798
Informations de publication
Date de publication:
25 Mar 2021
25 Mar 2021
Historique:
received:
11
12
2020
accepted:
18
03
2021
entrez:
26
3
2021
pubmed:
27
3
2021
medline:
27
3
2021
Statut:
epublish
Résumé
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. 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%. 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.
Sections du résumé
BACKGROUND
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
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
CONCLUSIONS
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.
Identifiants
pubmed: 33766048
doi: 10.1186/s13007-021-00733-6
pii: 10.1186/s13007-021-00733-6
pmc: PMC7993484
doi:
Types de publication
Journal Article
Langues
eng
Pagination
30Subventions
Organisme : Universitat Politècnica de València
ID : 20180051
Références
Bioinformatics. 2009 Jul 15;25(14):1754-60
pubmed: 19451168
PLoS One. 2015 Jul 01;10(7):e0128916
pubmed: 26132974
Genes (Basel). 2021 Feb 08;12(2):
pubmed: 33567670
Nat Rev Genet. 2016 Feb;17(2):81-92
pubmed: 26729255
Nucleic Acids Res. 1990 Nov 25;18(22):6531-5
pubmed: 1979162
Front Plant Sci. 2020 Feb 14;11:42
pubmed: 32117381
Sci Rep. 2020 Mar 27;10(1):5623
pubmed: 32221398
PLoS One. 2020 Mar 16;15(3):e0230445
pubmed: 32176732
Methods Mol Biol. 2012;888:67-89
pubmed: 22665276
Bioinformatics. 2009 Aug 15;25(16):2078-9
pubmed: 19505943
Front Plant Sci. 2019 Sep 24;10:1133
pubmed: 31608087
Front Plant Sci. 2019 Aug 07;10:1005
pubmed: 31440267
PLoS One. 2011 May 04;6(5):e19379
pubmed: 21573248
BMC Genomics. 2014 Jun 09;15:449
pubmed: 24912484
Genome Biol Evol. 2011;3:1312-23
pubmed: 22002916
PLoS One. 2014 Feb 28;9(2):e90346
pubmed: 24587335
PLoS One. 2013 May 28;8(5):e64062
pubmed: 23724020
Nucleic Acids Res. 2012 Aug;40(15):e115
pubmed: 22730293
Nat Rev Genet. 2011 Jun 17;12(7):499-510
pubmed: 21681211
Nat Rev Genet. 2006 Mar;7(3):200-10
pubmed: 16485019
PLoS One. 2020 May 1;15(5):e0229207
pubmed: 32357171
Sci Rep. 2016 Mar 15;6:23092
pubmed: 26976656