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A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits

BACKGROUND: Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage map...

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Autores principales: Li, Huihui, Vikram, Prashant, Singh, Ravi Prakash, Kilian, Andrzej, Carling, Jason, Song, Jie, Burgueno-Ferreira, Juan Andres, Bhavani, Sridhar, Huerta-Espino, Julio, Payne, Thomas, Sehgal, Deepmala, Wenzl, Peter, Singh, Sukhwinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381402/
https://www.ncbi.nlm.nih.gov/pubmed/25887001
http://dx.doi.org/10.1186/s12864-015-1424-5
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author Li, Huihui
Vikram, Prashant
Singh, Ravi Prakash
Kilian, Andrzej
Carling, Jason
Song, Jie
Burgueno-Ferreira, Juan Andres
Bhavani, Sridhar
Huerta-Espino, Julio
Payne, Thomas
Sehgal, Deepmala
Wenzl, Peter
Singh, Sukhwinder
author_facet Li, Huihui
Vikram, Prashant
Singh, Ravi Prakash
Kilian, Andrzej
Carling, Jason
Song, Jie
Burgueno-Ferreira, Juan Andres
Bhavani, Sridhar
Huerta-Espino, Julio
Payne, Thomas
Sehgal, Deepmala
Wenzl, Peter
Singh, Sukhwinder
author_sort Li, Huihui
collection PubMed
description BACKGROUND: Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage mapping to construct a consensus map containing 28644 GBS markers. RESULTS: Three RIL populations, PBW343 × Kingbird, PBW343 × Kenya Swara and PBW343 × Muu, which share a common parent, were used to minimize the impact of potential structural genomic variation on consensus-map quality. The consensus map comprised 3757 unique positions, and the average marker distance was 0.88 cM, obtained by calculating the average distance between two adjacent unique positions. Significant variation of segregation distortion was observed across the three populations. The consensus map was validated by comparing positions of known rust resistance genes, and comparing them to wheat reference genome sequences recently published by the International Wheat Genome Sequencing Consortium, Rye and Ae. tauschii genomes. Three well-characterized rust resistance genes (Sr58/Lr46/Yr29, Sr2/Yr30/Lr27, and Sr57/Lr34/Yr18) and 15 published QTLs for wheat rusts were validated with high resolution. Fifty-two per cent of GBS tags on the consensus map were successfully aligned through BLAST to the right chromosomes on the wheat reference genome sequence. CONCLUSION: The consensus map should provide a useful basis for analyzing genome-wide variation of complex traits. The identified genes can then be explored as genetic markers to be used in genomic applications in wheat breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1424-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-43814022015-04-02 A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits Li, Huihui Vikram, Prashant Singh, Ravi Prakash Kilian, Andrzej Carling, Jason Song, Jie Burgueno-Ferreira, Juan Andres Bhavani, Sridhar Huerta-Espino, Julio Payne, Thomas Sehgal, Deepmala Wenzl, Peter Singh, Sukhwinder BMC Genomics Research Article BACKGROUND: Genotyping-by-sequencing (GBS) is a high-throughput genotyping approach that is starting to be used in several crop species, including bread wheat. Anchoring GBS tags on chromosomes is an important step towards utilizing them for wheat genetic improvement. Here we use genetic linkage mapping to construct a consensus map containing 28644 GBS markers. RESULTS: Three RIL populations, PBW343 × Kingbird, PBW343 × Kenya Swara and PBW343 × Muu, which share a common parent, were used to minimize the impact of potential structural genomic variation on consensus-map quality. The consensus map comprised 3757 unique positions, and the average marker distance was 0.88 cM, obtained by calculating the average distance between two adjacent unique positions. Significant variation of segregation distortion was observed across the three populations. The consensus map was validated by comparing positions of known rust resistance genes, and comparing them to wheat reference genome sequences recently published by the International Wheat Genome Sequencing Consortium, Rye and Ae. tauschii genomes. Three well-characterized rust resistance genes (Sr58/Lr46/Yr29, Sr2/Yr30/Lr27, and Sr57/Lr34/Yr18) and 15 published QTLs for wheat rusts were validated with high resolution. Fifty-two per cent of GBS tags on the consensus map were successfully aligned through BLAST to the right chromosomes on the wheat reference genome sequence. CONCLUSION: The consensus map should provide a useful basis for analyzing genome-wide variation of complex traits. The identified genes can then be explored as genetic markers to be used in genomic applications in wheat breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1424-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-19 /pmc/articles/PMC4381402/ /pubmed/25887001 http://dx.doi.org/10.1186/s12864-015-1424-5 Text en © Li et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research Article
Li, Huihui
Vikram, Prashant
Singh, Ravi Prakash
Kilian, Andrzej
Carling, Jason
Song, Jie
Burgueno-Ferreira, Juan Andres
Bhavani, Sridhar
Huerta-Espino, Julio
Payne, Thomas
Sehgal, Deepmala
Wenzl, Peter
Singh, Sukhwinder
A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title_full A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title_fullStr A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title_full_unstemmed A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title_short A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits
title_sort high density gbs map of bread wheat and its application for dissecting complex disease resistance traits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381402/
https://www.ncbi.nlm.nih.gov/pubmed/25887001
http://dx.doi.org/10.1186/s12864-015-1424-5
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