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Genome-Wide Identification of QTL for Seed Yield and Yield-Related Traits and Construction of a High-Density Consensus Map for QTL Comparison in Brassica napus

Overview of attention for article published in Frontiers in Plant Science, January 2016
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Title
Genome-Wide Identification of QTL for Seed Yield and Yield-Related Traits and Construction of a High-Density Consensus Map for QTL Comparison in Brassica napus
Published in
Frontiers in Plant Science, January 2016
DOI 10.3389/fpls.2016.00017
Pubmed ID
Authors

Weiguo Zhao, Xiaodong Wang, Hao Wang, Jianhua Tian, Baojun Li, Li Chen, Hongbo Chao, Yan Long, Jun Xiang, Jianping Gan, Wusheng Liang, Maoteng Li

Abstract

Seed yield (SY) is the most important trait in rapeseed, is determined by multiple seed yield-related traits (SYRTs) and is also easily subject to environmental influence. Many quantitative trait loci (QTLs) for SY and SYRTs have been reported in Brassica napus; however, no studies have focused on seven agronomic traits simultaneously affecting SY. Genome-wide QTL analysis for SY and seven SYRTs in eight environments was conducted in a doubled haploid population containing 348 lines. Totally, 18 and 208 QTLs for SY and SYRTs were observed, respectively, and then these QTLs were integrated into 144 consensus QTLs using a meta-analysis. Three major QTLs for SY were observed, including cqSY-C6-2 and cqSY-C6-3 that were expressed stably in winter cultivation area for 3 years and cqSY-A2-2 only expressed in spring rapeseed area. Trait-by-trait meta-analysis revealed that the 144 consensus QTLs were integrated into 72 pleiotropic unique QTLs. Among them, all the unique QTLs affected SY, except for uq.A6-1, including uq.A2-3, uq.C1-2, uq.C1-3, uq.C6-1, uq.C6-5, and uq.C6-6 could also affect more than two SYRTs. According to the constructed high-density consensus map and QTL comparison from literatures, 36 QTLs from five populations were co-localized with QTLs identified in this study. In addition, 13 orthologous genes were observed, including five each gene for SY and thousand seed weight, and one gene each for biomass yield, branch height, and plant height. The genomic information of these QTLs will be valuable in hybrid cultivar breeding and in analyzing QTL expression in different environments.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 8 15%
Student > Master 5 9%
Professor > Associate Professor 4 8%
Student > Bachelor 3 6%
Other 7 13%
Unknown 15 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 49%
Biochemistry, Genetics and Molecular Biology 7 13%
Unspecified 1 2%
Environmental Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 January 2016.
All research outputs
#18,436,183
of 22,840,638 outputs
Outputs from Frontiers in Plant Science
#13,765
of 20,160 outputs
Outputs of similar age
#287,023
of 396,721 outputs
Outputs of similar age from Frontiers in Plant Science
#318
of 496 outputs
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