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Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray
Increasing clubroot resistance (CR) of Brassica oleracea by ascertaining the molecular mechanisms has been the key focus in modern B. oleracea breeding. In order to identify the quantitative trait loci (QTLs) associated with CR in B. oleracea, 94 F2 vegetative lines which were developed by tissue cu...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015909/ https://www.ncbi.nlm.nih.gov/pubmed/29967632 http://dx.doi.org/10.3389/fpls.2018.00822 |
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author | Peng, Lisha Zhou, Lili Li, Qinfei Wei, Dayong Ren, Xuesong Song, Hongyuan Mei, Jiaqin Si, Jun Qian, Wei |
author_facet | Peng, Lisha Zhou, Lili Li, Qinfei Wei, Dayong Ren, Xuesong Song, Hongyuan Mei, Jiaqin Si, Jun Qian, Wei |
author_sort | Peng, Lisha |
collection | PubMed |
description | Increasing clubroot resistance (CR) of Brassica oleracea by ascertaining the molecular mechanisms has been the key focus in modern B. oleracea breeding. In order to identify the quantitative trait loci (QTLs) associated with CR in B. oleracea, 94 F2 vegetative lines which were developed by tissue culture of selfed seeds from the F1 generation between a clubroot-resistant B. oleracea inbred line and a susceptible line, were identified for disease incidence and six CR-associated traits under a lab inoculation by Plasmodiophora brassicae and were genotyped with the 60K Brassica SNP array. Significant correlations were detected for numbers of fibrous roots and P. brassicae content in roots with disease incidence. Nine linkage groups were constructed from 565 bins which covered around 3,000 SNPs, spanning 1,028 cM of the B. oleracea genome with an average distance of 1.82 cM between adjacent bins. A total of 23 QTLs were identified for disease incidence and the other two correlated traits, individually explaining 6.1–17.8% of the phenotypic variation. Several overlaps were detected among traits, including one three-traits-overlapped locus on linkage group C08 and two important overlapped regions between the two CR-associated traits on C06. The QTLs were compared with known CR loci/genes and the novelty of our QTLs was discussed. |
format | Online Article Text |
id | pubmed-6015909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60159092018-07-02 Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray Peng, Lisha Zhou, Lili Li, Qinfei Wei, Dayong Ren, Xuesong Song, Hongyuan Mei, Jiaqin Si, Jun Qian, Wei Front Plant Sci Plant Science Increasing clubroot resistance (CR) of Brassica oleracea by ascertaining the molecular mechanisms has been the key focus in modern B. oleracea breeding. In order to identify the quantitative trait loci (QTLs) associated with CR in B. oleracea, 94 F2 vegetative lines which were developed by tissue culture of selfed seeds from the F1 generation between a clubroot-resistant B. oleracea inbred line and a susceptible line, were identified for disease incidence and six CR-associated traits under a lab inoculation by Plasmodiophora brassicae and were genotyped with the 60K Brassica SNP array. Significant correlations were detected for numbers of fibrous roots and P. brassicae content in roots with disease incidence. Nine linkage groups were constructed from 565 bins which covered around 3,000 SNPs, spanning 1,028 cM of the B. oleracea genome with an average distance of 1.82 cM between adjacent bins. A total of 23 QTLs were identified for disease incidence and the other two correlated traits, individually explaining 6.1–17.8% of the phenotypic variation. Several overlaps were detected among traits, including one three-traits-overlapped locus on linkage group C08 and two important overlapped regions between the two CR-associated traits on C06. The QTLs were compared with known CR loci/genes and the novelty of our QTLs was discussed. Frontiers Media S.A. 2018-06-18 /pmc/articles/PMC6015909/ /pubmed/29967632 http://dx.doi.org/10.3389/fpls.2018.00822 Text en Copyright © 2018 Peng, Zhou, Li, Wei, Ren, Song, Mei, Si and Qian. 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 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 Peng, Lisha Zhou, Lili Li, Qinfei Wei, Dayong Ren, Xuesong Song, Hongyuan Mei, Jiaqin Si, Jun Qian, Wei Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title | Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title_full | Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title_fullStr | Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title_full_unstemmed | Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title_short | Identification of Quantitative Trait Loci for Clubroot Resistance in Brassica oleracea With the Use of Brassica SNP Microarray |
title_sort | identification of quantitative trait loci for clubroot resistance in brassica oleracea with the use of brassica snp microarray |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015909/ https://www.ncbi.nlm.nih.gov/pubmed/29967632 http://dx.doi.org/10.3389/fpls.2018.00822 |
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