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Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat

Genebank genomics promises to unlock valuable diversity for plant breeding but first, one key question is which marker system is most suitable to fingerprint entire genebank collections. Using wheat as model species, we tested for the presence of an ascertainment bias and investigated its impact on...

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Autores principales: Chu, Jianting, Zhao, Yusheng, Beier, Sebastian, Schulthess, Albert W., Stein, Nils, Philipp, Norman, Röder, Marion S., Reif, Jochen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033508/
https://www.ncbi.nlm.nih.gov/pubmed/32117381
http://dx.doi.org/10.3389/fpls.2020.00042
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author Chu, Jianting
Zhao, Yusheng
Beier, Sebastian
Schulthess, Albert W.
Stein, Nils
Philipp, Norman
Röder, Marion S.
Reif, Jochen C.
author_facet Chu, Jianting
Zhao, Yusheng
Beier, Sebastian
Schulthess, Albert W.
Stein, Nils
Philipp, Norman
Röder, Marion S.
Reif, Jochen C.
author_sort Chu, Jianting
collection PubMed
description Genebank genomics promises to unlock valuable diversity for plant breeding but first, one key question is which marker system is most suitable to fingerprint entire genebank collections. Using wheat as model species, we tested for the presence of an ascertainment bias and investigated its impact on estimates of genetic diversity and prediction ability obtained using three marker platforms: simple sequence repeat (SSR), genotyping-by-sequencing (GBS), and array-based SNP markers. We used a panel of 378 winter wheat genotypes including 190 elite lines and 188 plant genetic resources (PGR), which were phenotyped in multi-environmental trials for grain yield and plant height. We observed an ascertainment bias for the array-based SNP markers, which led to an underestimation of the molecular diversity within the population of PGR. In contrast, the marker system played only a minor role for the overall picture of the population structure and precision of genome-wide predictions. Interestingly, we found that rare markers contributed substantially to the prediction ability. This combined with the expectation that valuable novel diversity is most likely rare suggests that markers with minor allele frequency deserve careful consideration in the design of a pre-breeding program.
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spelling pubmed-70335082020-02-28 Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat Chu, Jianting Zhao, Yusheng Beier, Sebastian Schulthess, Albert W. Stein, Nils Philipp, Norman Röder, Marion S. Reif, Jochen C. Front Plant Sci Plant Science Genebank genomics promises to unlock valuable diversity for plant breeding but first, one key question is which marker system is most suitable to fingerprint entire genebank collections. Using wheat as model species, we tested for the presence of an ascertainment bias and investigated its impact on estimates of genetic diversity and prediction ability obtained using three marker platforms: simple sequence repeat (SSR), genotyping-by-sequencing (GBS), and array-based SNP markers. We used a panel of 378 winter wheat genotypes including 190 elite lines and 188 plant genetic resources (PGR), which were phenotyped in multi-environmental trials for grain yield and plant height. We observed an ascertainment bias for the array-based SNP markers, which led to an underestimation of the molecular diversity within the population of PGR. In contrast, the marker system played only a minor role for the overall picture of the population structure and precision of genome-wide predictions. Interestingly, we found that rare markers contributed substantially to the prediction ability. This combined with the expectation that valuable novel diversity is most likely rare suggests that markers with minor allele frequency deserve careful consideration in the design of a pre-breeding program. Frontiers Media S.A. 2020-02-14 /pmc/articles/PMC7033508/ /pubmed/32117381 http://dx.doi.org/10.3389/fpls.2020.00042 Text en Copyright © 2020 Chu, Zhao, Beier, Schulthess, Stein, Philipp, Röder and Reif http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Chu, Jianting
Zhao, Yusheng
Beier, Sebastian
Schulthess, Albert W.
Stein, Nils
Philipp, Norman
Röder, Marion S.
Reif, Jochen C.
Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title_full Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title_fullStr Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title_full_unstemmed Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title_short Suitability of Single-Nucleotide Polymorphism Arrays Versus Genotyping-By-Sequencing for Genebank Genomics in Wheat
title_sort suitability of single-nucleotide polymorphism arrays versus genotyping-by-sequencing for genebank genomics in wheat
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033508/
https://www.ncbi.nlm.nih.gov/pubmed/32117381
http://dx.doi.org/10.3389/fpls.2020.00042
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