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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

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Abstract

Seed glucosinolate content in Brassica juncea is a complex quantitative trait. A recurrent selection backcross (RSB) method with a doubled haploid (DH) generation interspersing backcross generations was used for the introgression of low glucosinolate alleles from an east European gene pool B. juncea line, Heera into an Indian gene pool variety, Varuna. Phenotypic comparisons among the DH populations derived from early to advanced backcrosses revealed a shift in the mean values for various glucosinolates with the advancement of backcrossing, indicating a change in the selective values of the alleles with change in the genetic background due to the existence of epistasis and context dependencies. QTL mapping for various seed glucosinolates from early (F1DH) and advanced generation (BC4DH) populations confirmed the presence of epistasis and context dependency. The common QTL detected in both F1DH and BC4DH changed their R 2 values from the former to the later generation. Some of the QTL detected in the F1DH became irrelevant in the BC4DH population. Further, new QTL were detected in the BC4DH population for various glucosinolates. A validation study on a population of low glucosinolate DH lines derived from all the backcross generations of the RSB breeding programme revealed that the QTL detected in BC4DH were the ‘true’ QTL. Using glucosinolate as an example, the study provides strong evidence for the importance of the RSB method for the identification of the ‘true’ QTL which would be significant for marker assisted introgression of a complex quantitative trait whose expression is influenced by epistatic interactions.

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Acknowledgments

This work was supported by the Dhara Vegetable Oil and Food Company Ltd (DOFCO), a fully owned company of the National Dairy Development Board (NDDB) and the Department of Biotechnology (DBT). N. Ramchiary acknowledges the receipt of a fellowship from Council of Scientific and Industrial Research (CSIR), Government of India.

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Author notes

  1. N. Arumugam

    Present address: Department of Biotechnology, Pondicherry University, Pondicherry, 605 014, India

Authors and Affiliations

  1. Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110 021, India

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

  2. Department of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110 021, India

    N. Ramchiary, D. Pental & A. K. Pradhan

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  1. N. Ramchiary
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Correspondence to A. K. Pradhan.

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Communicated by C. F. Quiros.

Authors N. Ramchiary, N. C. Bisht, V. Gupta, A. Mukhopadhyay and N. Arumugam have contributed equally to this work.

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Ramchiary, N., Bisht, N.C., Gupta, V. et al. 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. Theor Appl Genet 116, 77–85 (2007). https://doi.org/10.1007/s00122-007-0648-4

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