Literature DB >> 18979082

Fine mapping of loci involved with glucosinolate biosynthesis in oilseed mustard (Brassica juncea) using genomic information from allied species.

N C Bisht1, V Gupta, N Ramchiary, Y S Sodhi, A Mukhopadhyay, N Arumugam, D Pental, A K Pradhan.   

Abstract

Fine mapping of six seed glucosinolate QTL (J2Gsl1, J3Gsl2, J9Gsl3, J16Gsl4, J17Gsl5 and J3Gsl6) (Ramchiary et al. in Theor Appl Genet 116:77-85, 2007a) was undertaken by the candidate gene approach. Based on the DNA sequences from Arabidopsis and Brassica oleracea for the different genes involved in the aliphatic glucosinolate biosynthesis, candidate genes were amplified and sequenced from high to low glucosinolate Brassica juncea lines Varuna and Heera, respectively. Of the 20 paralogues identified, 17 paralogues belonging to six gene families were mapped to 12 of the 18 linkage groups of B. juncea genome. Co-mapping of candidate genes with glucosinolate QTL revealed that the candidate gene BjuA.GSL-ELONG.a mapped to the QTL interval of J2Gsl1, BjuA.GSL-ELONG.c, BjuA.GSL-ELONG.d and BjuA.Myb28.a mapped to the QTL interval of J3Gsl2, BjuA.GSL-ALK.a mapped to the QTL interval of J3Gsl6 and BjuB.Myb28.a mapped to the QTL interval of J17Gsl5. The QTL J9Gsl3 and J16Gsl4 did not correspond to any of the mapped candidate genes. The functionality and contribution of different candidate genes/QTL was assessed by allelic variation study using phenotypic data of 785 BC(4)DH lines. It was observed that BjuA.Myb28.a and J9Gsl3 contributed significantly to the base level glucosinolate production while J16Gsl4, probably GSL-PRO, BjuA.GSL-ELONG.a and BjuA.GSL-ELONG.c contributed to the C3, C4 and C5 elongation pathways, respectively. Three A genome QTL: J2Gsl1harbouring BjuA.GSL-ELONG.a, J3Gsl2 harbouring both BjuA.GSL-ELONG.c and BjuA.Myb28.a and J9Gsl3, possibly the 'Bronowski genes', were identified as most important loci for breeding low glucosinolate B. juncea. We observed two-step genetic control of seed glucosinolate in B. juncea mainly effected by these three A genome QTL. This study, therefore, provides clues to the genetic mechanism of 'Bronowski genes' controlling the glucosinolate trait and also provides efficient markers for marker-assisted introgression of low glucosinolate trait in B. juncea.

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Year:  2008        PMID: 18979082     DOI: 10.1007/s00122-008-0907-z

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


  20 in total

1.  Comparative analysis of methylthioalkylmalate synthase (MAM) gene family and flanking DNA sequences in Brassica oleracea and Arabidopsis thaliana.

Authors:  Muqiang Gao; Genyi Li; Daniel Potter; W Richard McCombie; Carlos F Quiros
Journal:  Plant Cell Rep       Date:  2006-01-24       Impact factor: 4.570

2.  A high-density linkage map in Brassica juncea (Indian mustard) using AFLP and RFLP markers.

Authors:  A K Pradhan; V Gupta; A Mukhopadhyay; N Arumugam; Y S Sodhi; D Pental
Journal:  Theor Appl Genet       Date:  2002-09-13       Impact factor: 5.699

3.  QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of 'true' QTL.

Authors:  N Ramchiary; N C Bisht; V Gupta; A Mukhopadhyay; N Arumugam; Y S Sodhi; D Pental; A K Pradhan
Journal:  Theor Appl Genet       Date:  2007-09-26       Impact factor: 5.699

4.  Genetic analysis of agronomic and quality traits in mustard (Brassica juncea).

Authors:  E Lionneton; G Aubert; S Ochatt; O Merah
Journal:  Theor Appl Genet       Date:  2004-07-29       Impact factor: 5.699

5.  Molecular mapping of seed aliphatic glucosinolates in Brassica juncea.

Authors:  T Mahmood; U Ekuere; F Yeh; A G Good; G R Stringam
Journal:  Genome       Date:  2003-10       Impact factor: 2.166

6.  Mapping of yield influencing QTL in Brassica juncea: implications for breeding of a major oilseed crop of dryland areas.

Authors:  N Ramchiary; K L Padmaja; S Sharma; V Gupta; Y S Sodhi; A Mukhopadhyay; N Arumugam; D Pental; A K Pradhan
Journal:  Theor Appl Genet       Date:  2007-07-24       Impact factor: 5.699

7.  RFLP mapping of quantitative trait loci controlling seed aliphatic-glucosinolate content in oilseed rape (Brassica napus L).

Authors:  D Toroser; C E Thormann; T C Osborn; R Mithen
Journal:  Theor Appl Genet       Date:  1995-10       Impact factor: 5.699

8.  Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis.

Authors:  Masami Yokota Hirai; Kenjiro Sugiyama; Yuji Sawada; Takayuki Tohge; Takeshi Obayashi; Akane Suzuki; Ryoichi Araki; Nozomu Sakurai; Hideyuki Suzuki; Koh Aoki; Hideki Goda; Osamu Ishizaki Nishizawa; Daisuke Shibata; Kazuki Saito
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-09       Impact factor: 11.205

9.  Genetic analysis, expression and molecular characterization of BoGSL-ELONG, a major gene involved in the aliphatic glucosinolate pathway of Brassica species.

Authors:  Genyi Li; Carlos F Quiros
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

10.  Standardized gene nomenclature for the Brassica genus.

Authors:  Lars Ostergaard; Graham J King
Journal:  Plant Methods       Date:  2008-05-20       Impact factor: 4.993

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  16 in total

1.  Deciphering allelic variations for seed glucosinolate traits in oilseed mustard (Brassica juncea) using two bi-parental mapping populations.

Authors:  Kadambini Rout; Manisha Sharma; Vibha Gupta; Arundhati Mukhopadhyay; Yaspal S Sodhi; Deepak Pental; Akshay K Pradhan
Journal:  Theor Appl Genet       Date:  2015-01-28       Impact factor: 5.699

2.  Molecular Basis of the Evolution of Methylthioalkylmalate Synthase and the Diversity of Methionine-Derived Glucosinolates.

Authors:  Roshan Kumar; Soon Goo Lee; Rehna Augustine; Micheal Reichelt; Daniel G Vassão; Manoj H Palavalli; Aron Allen; Jonathan Gershenzon; Joseph M Jez; Naveen C Bisht
Journal:  Plant Cell       Date:  2019-04-25       Impact factor: 11.277

3.  Genomic origin, expression differentiation and regulation of multiple genes encoding CYP83A1, a key enzyme for core glucosinolate biosynthesis, from the allotetraploid Brassica juncea.

Authors:  Rehna Augustine; Manoj Majee; Akshay K Pradhan; Naveen C Bisht
Journal:  Planta       Date:  2014-11-20       Impact factor: 4.116

Review 4.  Comparative genomics of Brassicaceae crops.

Authors:  Ashutosh Sharma; Xiaonan Li; Yong Pyo Lim
Journal:  Breed Sci       Date:  2014-05       Impact factor: 2.086

5.  Targeted silencing of genes in polyploids: lessons learned from Brassica juncea-glucosinolate system.

Authors:  Rehna Augustine; Naveen C Bisht
Journal:  Plant Cell Rep       Date:  2018-10-10       Impact factor: 4.570

6.  Homoeologous GSL-ELONG gene replacement for manipulation of aliphatic glucosinolates in Brassica rapa L. by marker assisted selection.

Authors:  Arvind H Hirani; Carla D Zelmer; Peter B E McVetty; Fouad Daayf; Genyi Li
Journal:  Front Plant Sci       Date:  2013-03-25       Impact factor: 5.753

7.  QTL analysis using SNP markers developed by next-generation sequencing for identification of candidate genes controlling 4-methylthio-3-butenyl glucosinolate contents in roots of radish, Raphanus sativus L.

Authors:  Zhongwei Zou; Masahiko Ishida; Feng Li; Tomohiro Kakizaki; Sho Suzuki; Hiroyasu Kitashiba; Takeshi Nishio
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

8.  Four genes encoding MYB28, a major transcriptional regulator of the aliphatic glucosinolate pathway, are differentially expressed in the allopolyploid Brassica juncea.

Authors:  Rehna Augustine; Manoj Majee; Jonathan Gershenzon; Naveen C Bisht
Journal:  J Exp Bot       Date:  2013-09-16       Impact factor: 6.992

9.  RNA-seq based SNPs for mapping in Brassica juncea (AABB): synteny analysis between the two constituent genomes A (from B. rapa) and B (from B. nigra) shows highly divergent gene block arrangement and unique block fragmentation patterns.

Authors:  Kumar Paritosh; Vibha Gupta; Satish K Yadava; Priyansha Singh; Akshay K Pradhan; Deepak Pental
Journal:  BMC Genomics       Date:  2014-05-23       Impact factor: 3.969

10.  QTL architecture of reproductive fitness characters in Brassica rapa.

Authors:  Jennifer M Dechaine; Marcus T Brock; Cynthia Weinig
Journal:  BMC Plant Biol       Date:  2014-03-18       Impact factor: 4.215

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