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High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)

Saccharina japonica is one of the most important marine crops in China, Japan and Korea. Candidate genes associated with blade length and blade width have not yet been reported. Here, based on SLAF-seq, the 7627 resulting SNP loci were selected for genetic linkage mapping to 31 linkage groups with a...

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Autores principales: Wang, Xiuliang, Chen, Zhihang, Li, Qiuying, Zhang, Jie, Liu, Shun, Duan, Delin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133921/
https://www.ncbi.nlm.nih.gov/pubmed/30206320
http://dx.doi.org/10.1038/s41598-018-32015-y
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author Wang, Xiuliang
Chen, Zhihang
Li, Qiuying
Zhang, Jie
Liu, Shun
Duan, Delin
author_facet Wang, Xiuliang
Chen, Zhihang
Li, Qiuying
Zhang, Jie
Liu, Shun
Duan, Delin
author_sort Wang, Xiuliang
collection PubMed
description Saccharina japonica is one of the most important marine crops in China, Japan and Korea. Candidate genes associated with blade length and blade width have not yet been reported. Here, based on SLAF-seq, the 7627 resulting SNP loci were selected for genetic linkage mapping to 31 linkage groups with an average spacing of 0.69 cM, and QTL analyses were performed to map the blade length and blade width phenotypes of S. japonica. In total, 12 QTLs contributing to blade length and 10 to width were detected. Some QTL intervals were detected for both blade length and width. Additive alleles for increasing blade length and width in S. japonica came from both parents. After the QTL interval regions were comparatively mapped to the current reference genome of S. japonica (MEHQ00000000), 14 Tic20 (translocon on the inner envelope membrane of chloroplast) genes and three peptidase genes were identified. RT-qPCR analysis showed that the transcription levels of four Tic20 genes were different not only in the two parent sporophytes but also at different cultivation times within one parent. The SNP markers closely associated with blade length and width could be used to improve the selection efficiency of S. japonica breeding.
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spelling pubmed-61339212018-09-15 High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta) Wang, Xiuliang Chen, Zhihang Li, Qiuying Zhang, Jie Liu, Shun Duan, Delin Sci Rep Article Saccharina japonica is one of the most important marine crops in China, Japan and Korea. Candidate genes associated with blade length and blade width have not yet been reported. Here, based on SLAF-seq, the 7627 resulting SNP loci were selected for genetic linkage mapping to 31 linkage groups with an average spacing of 0.69 cM, and QTL analyses were performed to map the blade length and blade width phenotypes of S. japonica. In total, 12 QTLs contributing to blade length and 10 to width were detected. Some QTL intervals were detected for both blade length and width. Additive alleles for increasing blade length and width in S. japonica came from both parents. After the QTL interval regions were comparatively mapped to the current reference genome of S. japonica (MEHQ00000000), 14 Tic20 (translocon on the inner envelope membrane of chloroplast) genes and three peptidase genes were identified. RT-qPCR analysis showed that the transcription levels of four Tic20 genes were different not only in the two parent sporophytes but also at different cultivation times within one parent. The SNP markers closely associated with blade length and width could be used to improve the selection efficiency of S. japonica breeding. Nature Publishing Group UK 2018-09-11 /pmc/articles/PMC6133921/ /pubmed/30206320 http://dx.doi.org/10.1038/s41598-018-32015-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Xiuliang
Chen, Zhihang
Li, Qiuying
Zhang, Jie
Liu, Shun
Duan, Delin
High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title_full High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title_fullStr High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title_full_unstemmed High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title_short High-density SNP-based QTL mapping and candidate gene screening for yield-related blade length and width in Saccharina japonica (Laminariales, Phaeophyta)
title_sort high-density snp-based qtl mapping and candidate gene screening for yield-related blade length and width in saccharina japonica (laminariales, phaeophyta)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133921/
https://www.ncbi.nlm.nih.gov/pubmed/30206320
http://dx.doi.org/10.1038/s41598-018-32015-y
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