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Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.

BACKGROUND: The fatty acid composition of B. napus’ seeds determines the oil’s nutritional and industrial values, and affects seed germination. Many studies have reported correlations among C16:0, C18:0, C18:1, C18:2 and C18:3 based on phenotypic data; however, the genetic basis of the fatty acid co...

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Autores principales: Chen, Feng, Zhang, Wei, Yu, Kunjiang, Sun, Lijie, Gao, Jianqin, Zhou, Xiaoying, Peng, Qi, Fu, Sanxiong, Hu, Maolong, Long, Weihua, Pu, Huiming, Chen, Song, Wang, Xiaodong, Zhang, Jiefu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865336/
https://www.ncbi.nlm.nih.gov/pubmed/29566663
http://dx.doi.org/10.1186/s12870-018-1268-7
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author Chen, Feng
Zhang, Wei
Yu, Kunjiang
Sun, Lijie
Gao, Jianqin
Zhou, Xiaoying
Peng, Qi
Fu, Sanxiong
Hu, Maolong
Long, Weihua
Pu, Huiming
Chen, Song
Wang, Xiaodong
Zhang, Jiefu
author_facet Chen, Feng
Zhang, Wei
Yu, Kunjiang
Sun, Lijie
Gao, Jianqin
Zhou, Xiaoying
Peng, Qi
Fu, Sanxiong
Hu, Maolong
Long, Weihua
Pu, Huiming
Chen, Song
Wang, Xiaodong
Zhang, Jiefu
author_sort Chen, Feng
collection PubMed
description BACKGROUND: The fatty acid composition of B. napus’ seeds determines the oil’s nutritional and industrial values, and affects seed germination. Many studies have reported correlations among C16:0, C18:0, C18:1, C18:2 and C18:3 based on phenotypic data; however, the genetic basis of the fatty acid composition in B. napus is still not well understood. RESULTS: In this study, unconditional and conditional quantitative trail locus (QTL) mapping analyses were conducted using a recombinant inbred line in six environments. In total, 21 consensus QTLs each for C16:0, C18:0 and C18:2, 16 for C18:1 and 22 for C18:3 were detected by unconditional mapping. The QTLs with overlapping confidence intervals were integrated into 71 pleiotropically unique QTLs by meta-analysis. Two major QTLs, uuqA5–6 and uuqA5–7, simultaneously affected the fatty acids, except C18:0, in most of environments, with the homologous genes fatty acid desaturase 2 (FAD2) and glycerol-3-phosphate sn-2-acyltransferase 5 (GPAT5) occurring in the confidence interval of uuqA5–6, while phosphatidic acid phosphohydrolase 1 (PAH1) was assigned to uuqA5–7. Moreover, 49, 30, 48, 60 and 45 consensus QTLs were detected for C16:0, C18:0, C18:1, C18:2 and C18:3, respectively, by the conditional mapping analysis. In total, 128 unique QTLs were subsequently integrated from the 232 conditional consensus QTLs. A comparative analysis revealed that 63 unique QTLs could be identified by both mapping methodologies, and 65 additional unique QTLs were only identified in conditional mapping. CONCLUSIONS: Thus, conditional QTL mapping for fatty acids may uncover numerous additional QTLs that were inhibited by the effects of other traits. These findings provide useful information for better understanding the genetic relationships among fatty acids at the QTL level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1268-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-58653362018-03-27 Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L. Chen, Feng Zhang, Wei Yu, Kunjiang Sun, Lijie Gao, Jianqin Zhou, Xiaoying Peng, Qi Fu, Sanxiong Hu, Maolong Long, Weihua Pu, Huiming Chen, Song Wang, Xiaodong Zhang, Jiefu BMC Plant Biol Research Article BACKGROUND: The fatty acid composition of B. napus’ seeds determines the oil’s nutritional and industrial values, and affects seed germination. Many studies have reported correlations among C16:0, C18:0, C18:1, C18:2 and C18:3 based on phenotypic data; however, the genetic basis of the fatty acid composition in B. napus is still not well understood. RESULTS: In this study, unconditional and conditional quantitative trail locus (QTL) mapping analyses were conducted using a recombinant inbred line in six environments. In total, 21 consensus QTLs each for C16:0, C18:0 and C18:2, 16 for C18:1 and 22 for C18:3 were detected by unconditional mapping. The QTLs with overlapping confidence intervals were integrated into 71 pleiotropically unique QTLs by meta-analysis. Two major QTLs, uuqA5–6 and uuqA5–7, simultaneously affected the fatty acids, except C18:0, in most of environments, with the homologous genes fatty acid desaturase 2 (FAD2) and glycerol-3-phosphate sn-2-acyltransferase 5 (GPAT5) occurring in the confidence interval of uuqA5–6, while phosphatidic acid phosphohydrolase 1 (PAH1) was assigned to uuqA5–7. Moreover, 49, 30, 48, 60 and 45 consensus QTLs were detected for C16:0, C18:0, C18:1, C18:2 and C18:3, respectively, by the conditional mapping analysis. In total, 128 unique QTLs were subsequently integrated from the 232 conditional consensus QTLs. A comparative analysis revealed that 63 unique QTLs could be identified by both mapping methodologies, and 65 additional unique QTLs were only identified in conditional mapping. CONCLUSIONS: Thus, conditional QTL mapping for fatty acids may uncover numerous additional QTLs that were inhibited by the effects of other traits. These findings provide useful information for better understanding the genetic relationships among fatty acids at the QTL level. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1268-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-23 /pmc/articles/PMC5865336/ /pubmed/29566663 http://dx.doi.org/10.1186/s12870-018-1268-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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
Chen, Feng
Zhang, Wei
Yu, Kunjiang
Sun, Lijie
Gao, Jianqin
Zhou, Xiaoying
Peng, Qi
Fu, Sanxiong
Hu, Maolong
Long, Weihua
Pu, Huiming
Chen, Song
Wang, Xiaodong
Zhang, Jiefu
Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title_full Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title_fullStr Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title_full_unstemmed Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title_short Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
title_sort unconditional and conditional qtl analyses of seed fatty acid composition in brassica napus l.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865336/
https://www.ncbi.nlm.nih.gov/pubmed/29566663
http://dx.doi.org/10.1186/s12870-018-1268-7
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