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Genetic dissection of plant architecture and yield-related traits in Brassica napus

An optimized plant architecture (PA) is fundamental for high-yield breeding but the genetic control of the important trait is largely unknown in rapeseed. Here plant architecture factors (PAFs) were proposed to consist of main inflorescence length proportion (MILP), branch height proportion (BHP), a...

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Autores principales: Cai, Guangqin, Yang, Qingyong, Chen, Hao, Yang, Qian, Zhang, Chunyu, Fan, Chuchuan, Zhou, Yongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754947/
https://www.ncbi.nlm.nih.gov/pubmed/26880301
http://dx.doi.org/10.1038/srep21625
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author Cai, Guangqin
Yang, Qingyong
Chen, Hao
Yang, Qian
Zhang, Chunyu
Fan, Chuchuan
Zhou, Yongming
author_facet Cai, Guangqin
Yang, Qingyong
Chen, Hao
Yang, Qian
Zhang, Chunyu
Fan, Chuchuan
Zhou, Yongming
author_sort Cai, Guangqin
collection PubMed
description An optimized plant architecture (PA) is fundamental for high-yield breeding but the genetic control of the important trait is largely unknown in rapeseed. Here plant architecture factors (PAFs) were proposed to consist of main inflorescence length proportion (MILP), branch height proportion (BHP), and branch segment proportion (BSP). Comparison of different genotypes in a DH population grown in diverse environments showed that an optimized PAF performance with MILP and BHP between 0.3–0.4 was important for high yield potential. In total, 163 unique quantitative trait loci (QTLs) for PA- and plant yield (PY)-related traits were mapped onto a high-density genetic map. Furthermore, 190 PA-related candidate genes for 91 unique PA QTLs and 2350 PY epistatic interaction loci-pairs were identified, which explain 2.8–51.8% and 5.2–23.6% of phenotypic variation, respectively. Three gene categories, transcription factor, auxin/IAA, and gibberellin, comprise the largest proportions of candidate genes for PA-related QTLs. The effectiveness of QTL candidate genes prediction was demonstrated by cloning of three candidate genes, Bna.A02.CLV2, Bna.A09.SLY2, and Bna.C07.AHK4. The study thus outlines a gene network for control of PA-related traits and provides novel information for understanding the establishment of ideal PA and for developing effective breeding strategies for yield improvement in rapeseed and other crops.
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spelling pubmed-47549472016-02-24 Genetic dissection of plant architecture and yield-related traits in Brassica napus Cai, Guangqin Yang, Qingyong Chen, Hao Yang, Qian Zhang, Chunyu Fan, Chuchuan Zhou, Yongming Sci Rep Article An optimized plant architecture (PA) is fundamental for high-yield breeding but the genetic control of the important trait is largely unknown in rapeseed. Here plant architecture factors (PAFs) were proposed to consist of main inflorescence length proportion (MILP), branch height proportion (BHP), and branch segment proportion (BSP). Comparison of different genotypes in a DH population grown in diverse environments showed that an optimized PAF performance with MILP and BHP between 0.3–0.4 was important for high yield potential. In total, 163 unique quantitative trait loci (QTLs) for PA- and plant yield (PY)-related traits were mapped onto a high-density genetic map. Furthermore, 190 PA-related candidate genes for 91 unique PA QTLs and 2350 PY epistatic interaction loci-pairs were identified, which explain 2.8–51.8% and 5.2–23.6% of phenotypic variation, respectively. Three gene categories, transcription factor, auxin/IAA, and gibberellin, comprise the largest proportions of candidate genes for PA-related QTLs. The effectiveness of QTL candidate genes prediction was demonstrated by cloning of three candidate genes, Bna.A02.CLV2, Bna.A09.SLY2, and Bna.C07.AHK4. The study thus outlines a gene network for control of PA-related traits and provides novel information for understanding the establishment of ideal PA and for developing effective breeding strategies for yield improvement in rapeseed and other crops. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754947/ /pubmed/26880301 http://dx.doi.org/10.1038/srep21625 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Cai, Guangqin
Yang, Qingyong
Chen, Hao
Yang, Qian
Zhang, Chunyu
Fan, Chuchuan
Zhou, Yongming
Genetic dissection of plant architecture and yield-related traits in Brassica napus
title Genetic dissection of plant architecture and yield-related traits in Brassica napus
title_full Genetic dissection of plant architecture and yield-related traits in Brassica napus
title_fullStr Genetic dissection of plant architecture and yield-related traits in Brassica napus
title_full_unstemmed Genetic dissection of plant architecture and yield-related traits in Brassica napus
title_short Genetic dissection of plant architecture and yield-related traits in Brassica napus
title_sort genetic dissection of plant architecture and yield-related traits in brassica napus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754947/
https://www.ncbi.nlm.nih.gov/pubmed/26880301
http://dx.doi.org/10.1038/srep21625
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