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QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus

Worldwide consumption of oil is increasing with the growing population in need for edible oil and the expansion of industry using biofuels. Then, demand for high yielding varieties of oil crops is always increasing. Brassica napus (rapeseed) is one of the most important oil crop in the world, theref...

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Autores principales: Raboanatahiry, Nadia, Chao, Hongbo, Dalin, Hou, Pu, Shi, Yan, Wei, Yu, Longjiang, Wang, Baoshan, Li, Maoteng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083399/
https://www.ncbi.nlm.nih.gov/pubmed/30116254
http://dx.doi.org/10.3389/fpls.2018.01127
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author Raboanatahiry, Nadia
Chao, Hongbo
Dalin, Hou
Pu, Shi
Yan, Wei
Yu, Longjiang
Wang, Baoshan
Li, Maoteng
author_facet Raboanatahiry, Nadia
Chao, Hongbo
Dalin, Hou
Pu, Shi
Yan, Wei
Yu, Longjiang
Wang, Baoshan
Li, Maoteng
author_sort Raboanatahiry, Nadia
collection PubMed
description Worldwide consumption of oil is increasing with the growing population in need for edible oil and the expansion of industry using biofuels. Then, demand for high yielding varieties of oil crops is always increasing. Brassica napus (rapeseed) is one of the most important oil crop in the world, therefore, increasing rapeseed yield through breeding is inevitable in order to cater for the high demand of vegetable oil and high-quality protein for live stocks. Quantitative trait loci (QTL) analysis is a powerful tool to identify important loci and which is also valuable for molecular marker assisted breeding. Seed-yield (SY) is a complex trait that is controlled by multiple loci and is affected directly by seed weight, seeds per silique and silique number. Some yield-related traits, such as plant height, biomass yield, flowering time, and so on, also affect the SY indirectly. This study reports the assembly of QTLs identified for seed-yield and yield-related traits in rapeseed, in one unique map. A total of 972 QTLs for seed-yield and yield-related were aligned into the physical map of B. napus Darmor-bzh and 92 regions where 198 QTLs overlapped, could be discovered on 16 chromosomes. Also, 147 potential candidate genes were discovered in 65 regions where 131 QTLs overlapped, and might affect nine different traits. At the end, interaction network of candidate genes was studied, and showed nine genes that could highly interact with the other genes, and might have more influence on them. The present results would be helpful to develop molecular markers for yield associated traits and could be used for breeding improvement in B. napus.
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spelling pubmed-60833992018-08-16 QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus Raboanatahiry, Nadia Chao, Hongbo Dalin, Hou Pu, Shi Yan, Wei Yu, Longjiang Wang, Baoshan Li, Maoteng Front Plant Sci Plant Science Worldwide consumption of oil is increasing with the growing population in need for edible oil and the expansion of industry using biofuels. Then, demand for high yielding varieties of oil crops is always increasing. Brassica napus (rapeseed) is one of the most important oil crop in the world, therefore, increasing rapeseed yield through breeding is inevitable in order to cater for the high demand of vegetable oil and high-quality protein for live stocks. Quantitative trait loci (QTL) analysis is a powerful tool to identify important loci and which is also valuable for molecular marker assisted breeding. Seed-yield (SY) is a complex trait that is controlled by multiple loci and is affected directly by seed weight, seeds per silique and silique number. Some yield-related traits, such as plant height, biomass yield, flowering time, and so on, also affect the SY indirectly. This study reports the assembly of QTLs identified for seed-yield and yield-related traits in rapeseed, in one unique map. A total of 972 QTLs for seed-yield and yield-related were aligned into the physical map of B. napus Darmor-bzh and 92 regions where 198 QTLs overlapped, could be discovered on 16 chromosomes. Also, 147 potential candidate genes were discovered in 65 regions where 131 QTLs overlapped, and might affect nine different traits. At the end, interaction network of candidate genes was studied, and showed nine genes that could highly interact with the other genes, and might have more influence on them. The present results would be helpful to develop molecular markers for yield associated traits and could be used for breeding improvement in B. napus. Frontiers Media S.A. 2018-08-02 /pmc/articles/PMC6083399/ /pubmed/30116254 http://dx.doi.org/10.3389/fpls.2018.01127 Text en Copyright © 2018 Raboanatahiry, Chao, Dalin, Pu, Yan, Yu, Wang and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Raboanatahiry, Nadia
Chao, Hongbo
Dalin, Hou
Pu, Shi
Yan, Wei
Yu, Longjiang
Wang, Baoshan
Li, Maoteng
QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title_full QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title_fullStr QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title_full_unstemmed QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title_short QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus
title_sort qtl alignment for seed yield and yield related traits in brassica napus
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083399/
https://www.ncbi.nlm.nih.gov/pubmed/30116254
http://dx.doi.org/10.3389/fpls.2018.01127
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