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Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination

BACKGROUND: Yield is the most important and complex trait that is influenced by numerous relevant traits with very complicated interrelations. While there are a large number of studies on the phenotypic relationship and genetic basis of yield traits, systematic studies with further dissection focusi...

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Autores principales: Liang, Huabing, Ye, Jiang, Wang, Ying, Wang, Xinfa, Zhou, Xue-Rong, Batley, Jacqueline, King, Graham J., Guo, Liang, Tu, Jinxing, Shi, Jiaqin, Wang, Hanzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019968/
https://www.ncbi.nlm.nih.gov/pubmed/35440054
http://dx.doi.org/10.1186/s13068-022-02134-w
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author Liang, Huabing
Ye, Jiang
Wang, Ying
Wang, Xinfa
Zhou, Xue-Rong
Batley, Jacqueline
King, Graham J.
Guo, Liang
Tu, Jinxing
Shi, Jiaqin
Wang, Hanzhong
author_facet Liang, Huabing
Ye, Jiang
Wang, Ying
Wang, Xinfa
Zhou, Xue-Rong
Batley, Jacqueline
King, Graham J.
Guo, Liang
Tu, Jinxing
Shi, Jiaqin
Wang, Hanzhong
author_sort Liang, Huabing
collection PubMed
description BACKGROUND: Yield is the most important and complex trait that is influenced by numerous relevant traits with very complicated interrelations. While there are a large number of studies on the phenotypic relationship and genetic basis of yield traits, systematic studies with further dissection focusing on yield are limited. Therefore, there is still lack of a comprehensive and in-depth understanding of the determination of yield. RESULTS: In this study, yield was systematically dissected at the phenotypic, genetic to molecular levels in oilseed rape (Brassica napus L.). The analysis of correlation, network, and principal component for 21 traits in BnaZN-RIL population showed that yield was determined by a complex trait network with key contributors. The analysis of the constructed high-density single nucleotide polymorphism (SNP) linkage map revealed the concentrated distribution of distorted and heterozygous markers, likely due to selection on genes controlling the growth period and yield heterosis. A total of 134 consensus quantitative trait loci (QTL) were identified for 21 traits, of which all were incorporated into an interconnecting QTL network with dozens of hub-QTL. Four representative hub-QTL were further dissected to the target or candidate genes that governed the causal relationships between the relevant traits. CONCLUSIONS: The highly consistent results at the phenotypic, genetic, and molecular dissecting demonstrated that yield was determined by a multilayer composite network that involved numerous traits and genes showing complex up/down-stream and positive/negative regulation. This provides a systematic view, further insight, and exact roadmap for yield determination, which represents a significant advance toward the understanding and dissection of complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13068-022-02134-w.
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spelling pubmed-90199682022-04-21 Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination Liang, Huabing Ye, Jiang Wang, Ying Wang, Xinfa Zhou, Xue-Rong Batley, Jacqueline King, Graham J. Guo, Liang Tu, Jinxing Shi, Jiaqin Wang, Hanzhong Biotechnol Biofuels Bioprod Research BACKGROUND: Yield is the most important and complex trait that is influenced by numerous relevant traits with very complicated interrelations. While there are a large number of studies on the phenotypic relationship and genetic basis of yield traits, systematic studies with further dissection focusing on yield are limited. Therefore, there is still lack of a comprehensive and in-depth understanding of the determination of yield. RESULTS: In this study, yield was systematically dissected at the phenotypic, genetic to molecular levels in oilseed rape (Brassica napus L.). The analysis of correlation, network, and principal component for 21 traits in BnaZN-RIL population showed that yield was determined by a complex trait network with key contributors. The analysis of the constructed high-density single nucleotide polymorphism (SNP) linkage map revealed the concentrated distribution of distorted and heterozygous markers, likely due to selection on genes controlling the growth period and yield heterosis. A total of 134 consensus quantitative trait loci (QTL) were identified for 21 traits, of which all were incorporated into an interconnecting QTL network with dozens of hub-QTL. Four representative hub-QTL were further dissected to the target or candidate genes that governed the causal relationships between the relevant traits. CONCLUSIONS: The highly consistent results at the phenotypic, genetic, and molecular dissecting demonstrated that yield was determined by a multilayer composite network that involved numerous traits and genes showing complex up/down-stream and positive/negative regulation. This provides a systematic view, further insight, and exact roadmap for yield determination, which represents a significant advance toward the understanding and dissection of complex traits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13068-022-02134-w. BioMed Central 2022-04-19 /pmc/articles/PMC9019968/ /pubmed/35440054 http://dx.doi.org/10.1186/s13068-022-02134-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Liang, Huabing
Ye, Jiang
Wang, Ying
Wang, Xinfa
Zhou, Xue-Rong
Batley, Jacqueline
King, Graham J.
Guo, Liang
Tu, Jinxing
Shi, Jiaqin
Wang, Hanzhong
Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title_full Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title_fullStr Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title_full_unstemmed Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title_short Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
title_sort systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019968/
https://www.ncbi.nlm.nih.gov/pubmed/35440054
http://dx.doi.org/10.1186/s13068-022-02134-w
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