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New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus

BACKGROUND: Increasing seed oil content is the most important breeding goal in Brassica napus, and phenotyping is crucial to dissect its genetic basis in crops. To date, QTL mapping for oil content has been based on whole seeds, and the lipid distribution is far from uniform in different tissues of...

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Autores principales: Guo, Liangxing, Chao, Hongbo, Yin, Yongtai, Li, Huaixin, Wang, Hao, Zhao, Weiguo, Hou, Dalin, Zhang, Libin, Zhang, Chunyu, Li, Maoteng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207806/
https://www.ncbi.nlm.nih.gov/pubmed/37221547
http://dx.doi.org/10.1186/s13068-023-02324-0
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author Guo, Liangxing
Chao, Hongbo
Yin, Yongtai
Li, Huaixin
Wang, Hao
Zhao, Weiguo
Hou, Dalin
Zhang, Libin
Zhang, Chunyu
Li, Maoteng
author_facet Guo, Liangxing
Chao, Hongbo
Yin, Yongtai
Li, Huaixin
Wang, Hao
Zhao, Weiguo
Hou, Dalin
Zhang, Libin
Zhang, Chunyu
Li, Maoteng
author_sort Guo, Liangxing
collection PubMed
description BACKGROUND: Increasing seed oil content is the most important breeding goal in Brassica napus, and phenotyping is crucial to dissect its genetic basis in crops. To date, QTL mapping for oil content has been based on whole seeds, and the lipid distribution is far from uniform in different tissues of seeds in B. napus. In this case, the phenotype based on whole seeds was unable to sufficiently reveal the complex genetic characteristics of seed oil content. RESULTS: Here, the three-dimensional (3D) distribution of lipid was determined for B. napus seeds by magnetic resonance imaging (MRI) and 3D quantitative analysis, and ten novel oil content-related traits were obtained by subdividing the seeds. Based on a high-density genetic linkage map, 35 QTLs were identified for 4 tissues, the outer cotyledon (OC), inner cotyledon (IC), radicle (R) and seed coat (SC), which explained up to 13.76% of the phenotypic variation. Notably, 14 tissue-specific QTLs were reported for the first time, 7 of which were novel. Moreover, haplotype analysis showed that the favorable alleles for different seed tissues exhibited cumulative effects on oil content. Furthermore, tissue-specific transcriptomes revealed that more active energy and pyruvate metabolism influenced carbon flow in the IC, OC and R than in the SC at the early and middle seed development stages, thus affecting the distribution difference in oil content. Combining tissue-specific QTL mapping and transcriptomics, 86 important candidate genes associated with lipid metabolism were identified that underlie 19 unique QTLs, including the fatty acid synthesis rate-limiting enzyme-related gene CAC2, in the QTLs for OC and IC. CONCLUSIONS: The present study provides further insight into the genetic basis of seed oil content at the tissue-specific level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13068-023-02324-0.
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spelling pubmed-102078062023-05-25 New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus Guo, Liangxing Chao, Hongbo Yin, Yongtai Li, Huaixin Wang, Hao Zhao, Weiguo Hou, Dalin Zhang, Libin Zhang, Chunyu Li, Maoteng Biotechnol Biofuels Bioprod Research BACKGROUND: Increasing seed oil content is the most important breeding goal in Brassica napus, and phenotyping is crucial to dissect its genetic basis in crops. To date, QTL mapping for oil content has been based on whole seeds, and the lipid distribution is far from uniform in different tissues of seeds in B. napus. In this case, the phenotype based on whole seeds was unable to sufficiently reveal the complex genetic characteristics of seed oil content. RESULTS: Here, the three-dimensional (3D) distribution of lipid was determined for B. napus seeds by magnetic resonance imaging (MRI) and 3D quantitative analysis, and ten novel oil content-related traits were obtained by subdividing the seeds. Based on a high-density genetic linkage map, 35 QTLs were identified for 4 tissues, the outer cotyledon (OC), inner cotyledon (IC), radicle (R) and seed coat (SC), which explained up to 13.76% of the phenotypic variation. Notably, 14 tissue-specific QTLs were reported for the first time, 7 of which were novel. Moreover, haplotype analysis showed that the favorable alleles for different seed tissues exhibited cumulative effects on oil content. Furthermore, tissue-specific transcriptomes revealed that more active energy and pyruvate metabolism influenced carbon flow in the IC, OC and R than in the SC at the early and middle seed development stages, thus affecting the distribution difference in oil content. Combining tissue-specific QTL mapping and transcriptomics, 86 important candidate genes associated with lipid metabolism were identified that underlie 19 unique QTLs, including the fatty acid synthesis rate-limiting enzyme-related gene CAC2, in the QTLs for OC and IC. CONCLUSIONS: The present study provides further insight into the genetic basis of seed oil content at the tissue-specific level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13068-023-02324-0. BioMed Central 2023-05-23 /pmc/articles/PMC10207806/ /pubmed/37221547 http://dx.doi.org/10.1186/s13068-023-02324-0 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Guo, Liangxing
Chao, Hongbo
Yin, Yongtai
Li, Huaixin
Wang, Hao
Zhao, Weiguo
Hou, Dalin
Zhang, Libin
Zhang, Chunyu
Li, Maoteng
New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title_full New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title_fullStr New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title_full_unstemmed New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title_short New insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in Brassica napus
title_sort new insight into the genetic basis of oil content based on noninvasive three-dimensional phenotyping and tissue-specific transcriptome in brassica napus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207806/
https://www.ncbi.nlm.nih.gov/pubmed/37221547
http://dx.doi.org/10.1186/s13068-023-02324-0
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