Literature DB >> 31820843

Dissection of genetic architecture for glucosinolate accumulations in leaves and seeds of Brassica napus by genome-wide association study.

Sheng Liu1,2, Huibin Huang1, Xinqi Yi1, Yuanyuan Zhang1, Qingyong Yang3, Chunyu Zhang1, Chuchuan Fan1, Yongming Zhou1.   

Abstract

Glucosinolates (GSLs), whose degradation products have been shown to be increasingly important for human health and plant defence, compose important secondary metabolites found in the order Brassicales. It is highly desired to enhance pest and disease resistance by increasing the leaf GSL content while keeping the content low in seeds of Brassica napus, one of the most important oil crops worldwide. Little is known about the regulation of GSL accumulation in the leaves. We quantified the levels of 9 different GSLs and 15 related traits in the leaves of 366 accessions and found that the seed and leaf GSL content were highly correlated (r = 0.79). A total of 78 loci were associated with GSL traits, and five common and eleven tissue-specific associated loci were related to total leaf and seed GSL content. Thirty-six candidate genes were inferred to be involved in GSL biosynthesis. The candidate gene BnaA03g40190D (BnaA3.MYB28) was validated by DNA polymorphisms and gene expression analysis. This gene was responsible for high leaf/low seed GSL content and could explain 30.62% of the total leaf GSL variation in the low seed GSL panel and was not fixed during double-low rapeseed breeding. Our results provide new insights into the genetic basis of GSL variation in leaves and seeds and may facilitate the metabolic engineering of GSLs and the breeding of high leaf/low seed GSL content in B. napus.
© 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990MYB28zzm321990; GWAS; glucosinolates; metabolism; rapeseed (Brassica napus)

Year:  2019        PMID: 31820843     DOI: 10.1111/pbi.13314

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  12 in total

1.  Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L.

Authors:  Hongbo Chao; Huaixin Li; Shuxiang Yan; Weiguo Zhao; Kang Chen; Hao Wang; Nadia Raboanatahiry; Jinyong Huang; Maoteng Li
Journal:  Theor Appl Genet       Date:  2022-07-16       Impact factor: 5.574

2.  Genomic signatures of vegetable and oilseed allopolyploid Brassica juncea and genetic loci controlling the accumulation of glucosinolates.

Authors:  Jinghua Yang; Jing Wang; Zhangping Li; Xuming Li; Zhesi He; Lili Zhang; Tongyun Sha; Xiaolong Lyu; Sheng Chen; Yuanguo Gu; Zaiyun Li; Zhongyuan Hu; Hongju He; Ian Bancroft; Mingfang Zhang
Journal:  Plant Biotechnol J       Date:  2021-10-01       Impact factor: 13.263

3.  Genome-wide association mapping within a local Arabidopsis thaliana population more fully reveals the genetic architecture for defensive metabolite diversity.

Authors:  Andrew D Gloss; Amélie Vergnol; Timothy C Morton; Peter J Laurin; Fabrice Roux; Joy Bergelson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-05-30       Impact factor: 6.671

4.  Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content.

Authors:  Rim Gubaev; Lyudmila Gorlova; Stepan Boldyrev; Svetlana Goryunova; Denis Goryunov; Pavel Mazin; Alina Chernova; Elena Martynova; Yakov Demurin; Philipp Khaitovich
Journal:  Genes (Basel)       Date:  2020-08-12       Impact factor: 4.096

5.  Genome-Wide Association Reveals Trait Loci for Seed Glucosinolate Accumulation in Indian Mustard (Brassica juncea L.).

Authors:  Erwin Tandayu; Priyakshee Borpatragohain; Ramil Mauleon; Tobias Kretzschmar
Journal:  Plants (Basel)       Date:  2022-01-28

6.  Enhancing canola breeding by editing a glucosinolate transporter gene lacking natural variation.

Authors:  Yizhou He; Zhiquan Yang; Minqiang Tang; Qing-Yong Yang; Yuanyuan Zhang; Shengyi Liu
Journal:  Plant Physiol       Date:  2022-03-28       Impact factor: 8.340

7.  Target-specific mutations efficiency at multiple loci of CRISPR/Cas9 system using one sgRNA in soybean.

Authors:  Ling Zhang; Yingzhe Wang; Tong Li; Hongmei Qiu; Zhengjun Xia; Yingshan Dong
Journal:  Transgenic Res       Date:  2021-01-02       Impact factor: 2.788

8.  An integrated peach genome structural variation map uncovers genes associated with fruit traits.

Authors:  Jian Guo; Ke Cao; Cecilia Deng; Yong Li; Gengrui Zhu; Weichao Fang; Changwen Chen; Xinwei Wang; Jinlong Wu; Liping Guan; Shan Wu; Wenwu Guo; Jia-Long Yao; Zhangjun Fei; Lirong Wang
Journal:  Genome Biol       Date:  2020-10-06       Impact factor: 13.583

Review 9.  Glucosinolates: Natural Occurrence, Biosynthesis, Accessibility, Isolation, Structures, and Biological Activities.

Authors:  V P Thinh Nguyen; Jon Stewart; Michel Lopez; Irina Ioannou; Florent Allais
Journal:  Molecules       Date:  2020-10-03       Impact factor: 4.411

10.  Genome- and transcriptome-wide association studies reveal the genetic basis and the breeding history of seed glucosinolate content in Brassica napus.

Authors:  Zengdong Tan; Zhaoqi Xie; Lihong Dai; Yuting Zhang; Hu Zhao; Shan Tang; Lili Wan; Xuan Yao; Liang Guo; Dengfeng Hong
Journal:  Plant Biotechnol J       Date:  2021-10-28       Impact factor: 9.803

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