ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015
Deciphering allelic variations for seed glucosinolate traits in oilseed mustard (Brassica juncea) using two bi-parental mapping populations.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 23 citations in OpenAlex.
- A naturally occurring promoter variation ofFrontiers in plant science · 2025Article
- Identification of lncRNAs regulating seed traits in Brassica juncea and development of a comprehensive seed omics database.Functional & integrative genomics · 2024Article
- Genome-Wide Association Reveals Trait Loci for Seed Glucosinolate Accumulation in Indian Mustard (Plants (Basel, Switzerland) · 2022Article
- A chromosome-scale assembly of allotetraploid Brassica juncea (AABB) elucidates comparative architecture of the A and B genomes.Plant biotechnology journal · 2021Article
- Remobilization and fate of sulphur in mustard.Annals of botany · 2019Article
- QTL Mapping for Fiber Quality and Yield Traits Based on Introgression Lines Derived from Gossypium hirsutum × G. tomentosum.International journal of molecular sciences · 2018Article
- QTL Landscape for Oil Content inFrontiers in plant science · 2018Article
- Understanding of MYB Transcription Factors Involved in Glucosinolate Biosynthesis in Brassicaceae.Molecules (Basel, Switzerland) · 2017Review
- Genetic dissection of seed weight by QTL analysis and detection of allelic variation in Indian and east European gene pool lines of Brassica juncea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Article
- Fire and Brimstone: Molecular Interactions between Sulfur and Glucosinolate Biosynthesis in Model and Crop Brassicaceae.Frontiers in plant science · 2016Review
- Isolate Dependency of Brassica rapa Resistance QTLs to Botrytis cinerea.Frontiers in plant science · 2016Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
key messageQTL mapping by two DH mapping populations deciphered allelic variations for five different seed glucosinolate traits in B. juncea. Allelic variations for five different seed glucosinolate (GS) traits, namely % propyl, % butyl, % pentyl, aliphatics and total GS content were studied through QTL analysis using two doubled haploid (DH) mapping populations. While the high GS parents in two populations differed in their profiles of seed aliphatic GS, the low GS parents were similar. Phenotypic data of seed GS traits from three environments of the two populations were subjected to QTL analysis. The first population (referred to as DE population) detected a total of 60 QTL from three environments which upon intra-population meta-QTL analysis were merged to 17 S-QTL (Stable QTL) and 15 E-QTL (Environment QTL). The second population (referred to as VH population) detected 58 QTL from the three environments that were merged to 15S-QTL and 16E-QTL. In both the populations, majority of S-QTL were detected as major QTL. Inter-population meta-analysis identified three C-QTL (consensus QTL) formed by merging major QTL from the two populations. Candidate genes of GS pathway were co-localized to the QTL regions either through genetic mapping or through in silico comparative analysis. Parental allelic variants of QTL or of the co-mapped candidate gene(s) were determined on the basis of the significantly different R (2) values of the component QTL from the two populations which were merged to form C-QTL. The results of the study are significant for marker-assisted transfer of the low GS trait and also for developing lines with lower GS than are present in Brassica juncea.
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