Literature DB >> 24504552

Quantitative trait loci that control the oil content variation of rapeseed (Brassica napus L.).

Congcong Jiang1, Jiaqin Shi, Ruiyuan Li, Yan Long, Hao Wang, Dianrong Li, Jianyi Zhao, Jinling Meng.   

Abstract

KEY MESSAGE: This report describes an integrative analysis of seed-oil-content quantitative trait loci (QTL) in Brassica napus , using a high-density genetic map to align QTL among different populations. Rapeseed (Brassica napus) is an important source of edible oil and sustainable energy. Given the challenge involved in using only a few genes to substantially increase the oil content of rapeseed without affecting the fatty acid composition, exploitation of a greater number of genetic loci that regulate the oil content variation among rapeseed germplasm is of fundamental importance. In this study, we investigated variation in the seed-oil content among two related genetic populations of Brassica napus, the TN double-haploid population and its derivative reconstructed-F2 population. Each population was grown in multiple experiments under different environmental conditions. Mapping of quantitative trait loci (QTL) identified 41 QTL in the TN populations. Furthermore, of the 20 pairs of epistatic interaction loci detected, approximately one-third were located within the QTL intervals. The use of common markers on different genetic maps and the TN genetic map as a reference enabled us to project QTL from an additional three genetic populations onto the TN genetic map. In summary, we used the TN genetic map of the B. napus genome to identify 46 distinct QTL regions that control seed-oil content on 16 of the 19 linkage groups of B. napus. Of these, 18 were each detected in multiple populations. The present results are of value for ongoing efforts to breed rapeseed with high oil content, and alignment of the QTL makes an important contribution to the development of an integrative system for genetic studies of rapeseed.

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Year:  2014        PMID: 24504552     DOI: 10.1007/s00122-014-2271-5

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  33 in total

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Journal:  Genetics       Date:  2009-05-04       Impact factor: 4.562

2.  Mapping the genome of rapeseed (Brassica napus L.). II. Localization of genes controlling erucic acid synthesis and seed oil content.

Authors:  W Ecke; M Uzunova; K Weißleder
Journal:  Theor Appl Genet       Date:  1995-11       Impact factor: 5.699

Review 3.  Lipid biosynthesis.

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4.  Permutation tests for multiple loci affecting a quantitative character.

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Journal:  Theor Appl Genet       Date:  2011-10-13       Impact factor: 5.699

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9.  QTL analysis of an intervarietal set of substitution lines in Brassica napus: (i) Seed oil content and fatty acid composition.

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  31 in total

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2.  Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.

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3.  A major yellow-seed QTL on chromosome A09 significantly increases the oil content and reduces the fiber content of seed in Brassica napus.

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5.  Regional association analysis coupled with transcriptome analyses reveal candidate genes affecting seed oil accumulation in Brassica napus.

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6.  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.

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8.  Stable and novel QTL identification and new insights into the genetic networks affecting seed fiber traits in Brassica napus.

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Journal:  Theor Appl Genet       Date:  2019-03-04       Impact factor: 5.699

9.  A major QTL on chromosome C05 significantly reduces acid detergent lignin (ADL) content and increases seed oil and protein content in oilseed rape (Brassica napus L.).

Authors:  Nina Behnke; Edy Suprianto; Christian Möllers
Journal:  Theor Appl Genet       Date:  2018-08-24       Impact factor: 5.699

10.  Evaluation of Linkage Disequilibrium Pattern and Association Study on Seed Oil Content in Brassica napus Using ddRAD Sequencing.

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Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

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