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High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology

Reverse genetics approaches rely on the detection of sequence alterations in target genes to identify allelic variants among mutant or natural populations. Current (pre-) screening methods such as TILLING and EcoTILLING are based on the detection of single base mismatches in heteroduplexes using end...

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Autores principales: Rigola, Diana, van Oeveren, Jan, Janssen, Antoine, Bonné, Anita, Schneiders, Harrie, van der Poel, Hein J. A., van Orsouw, Nathalie J., Hogers, René C. J., de Both, Michiel T. J., van Eijk, Michiel J. T.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654077/
https://www.ncbi.nlm.nih.gov/pubmed/19283079
http://dx.doi.org/10.1371/journal.pone.0004761
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author Rigola, Diana
van Oeveren, Jan
Janssen, Antoine
Bonné, Anita
Schneiders, Harrie
van der Poel, Hein J. A.
van Orsouw, Nathalie J.
Hogers, René C. J.
de Both, Michiel T. J.
van Eijk, Michiel J. T.
author_facet Rigola, Diana
van Oeveren, Jan
Janssen, Antoine
Bonné, Anita
Schneiders, Harrie
van der Poel, Hein J. A.
van Orsouw, Nathalie J.
Hogers, René C. J.
de Both, Michiel T. J.
van Eijk, Michiel J. T.
author_sort Rigola, Diana
collection PubMed
description Reverse genetics approaches rely on the detection of sequence alterations in target genes to identify allelic variants among mutant or natural populations. Current (pre-) screening methods such as TILLING and EcoTILLING are based on the detection of single base mismatches in heteroduplexes using endonucleases such as CEL 1. However, there are drawbacks in the use of endonucleases due to their relatively poor cleavage efficiency and exonuclease activity. Moreover, pre-screening methods do not reveal information about the nature of sequence changes and their possible impact on gene function. We present KeyPoint™ technology, a high-throughput mutation/polymorphism discovery technique based on massive parallel sequencing of target genes amplified from mutant or natural populations. KeyPoint combines multi-dimensional pooling of large numbers of individual DNA samples and the use of sample identification tags (“sample barcoding”) with next-generation sequencing technology. We show the power of KeyPoint by identifying two mutants in the tomato eIF4E gene based on screening more than 3000 M2 families in a single GS FLX sequencing run, and discovery of six haplotypes of tomato eIF4E gene by re-sequencing three amplicons in a subset of 92 tomato lines from the EU-SOL core collection. We propose KeyPoint technology as a broadly applicable amplicon sequencing approach to screen mutant populations or germplasm collections for identification of (novel) allelic variation in a high-throughput fashion.
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spelling pubmed-26540772009-03-13 High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology Rigola, Diana van Oeveren, Jan Janssen, Antoine Bonné, Anita Schneiders, Harrie van der Poel, Hein J. A. van Orsouw, Nathalie J. Hogers, René C. J. de Both, Michiel T. J. van Eijk, Michiel J. T. PLoS One Research Article Reverse genetics approaches rely on the detection of sequence alterations in target genes to identify allelic variants among mutant or natural populations. Current (pre-) screening methods such as TILLING and EcoTILLING are based on the detection of single base mismatches in heteroduplexes using endonucleases such as CEL 1. However, there are drawbacks in the use of endonucleases due to their relatively poor cleavage efficiency and exonuclease activity. Moreover, pre-screening methods do not reveal information about the nature of sequence changes and their possible impact on gene function. We present KeyPoint™ technology, a high-throughput mutation/polymorphism discovery technique based on massive parallel sequencing of target genes amplified from mutant or natural populations. KeyPoint combines multi-dimensional pooling of large numbers of individual DNA samples and the use of sample identification tags (“sample barcoding”) with next-generation sequencing technology. We show the power of KeyPoint by identifying two mutants in the tomato eIF4E gene based on screening more than 3000 M2 families in a single GS FLX sequencing run, and discovery of six haplotypes of tomato eIF4E gene by re-sequencing three amplicons in a subset of 92 tomato lines from the EU-SOL core collection. We propose KeyPoint technology as a broadly applicable amplicon sequencing approach to screen mutant populations or germplasm collections for identification of (novel) allelic variation in a high-throughput fashion. Public Library of Science 2009-03-13 /pmc/articles/PMC2654077/ /pubmed/19283079 http://dx.doi.org/10.1371/journal.pone.0004761 Text en Rigola et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Rigola, Diana
van Oeveren, Jan
Janssen, Antoine
Bonné, Anita
Schneiders, Harrie
van der Poel, Hein J. A.
van Orsouw, Nathalie J.
Hogers, René C. J.
de Both, Michiel T. J.
van Eijk, Michiel J. T.
High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title_full High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title_fullStr High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title_full_unstemmed High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title_short High-Throughput Detection of Induced Mutations and Natural Variation Using KeyPoint™ Technology
title_sort high-throughput detection of induced mutations and natural variation using keypoint™ technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2654077/
https://www.ncbi.nlm.nih.gov/pubmed/19283079
http://dx.doi.org/10.1371/journal.pone.0004761
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