Association of SSR Markers for primary branches in Brassica Juncea L.

Document Type : Original research paper

Authors

Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, J&K (Jammu & Kashmir ), India

Abstract

The study utilized F2:5 lines derived from a cross between Kafiav N Zagora and Pusa Karishma cultivars to tag genomic regions controlling primary branches in Brassica juncea. One hundred and thirty F2:5 plants were used to characterize primary branch numbers, resulting in two pools of 12 genotypes for high (HPB) and low (LPB) branches. The average number of primary branches for HPB and LPB were 12.16 and 4.50, respectively. A set of 148 SSR (Simple Sequence Repeats) markers was used for parental polymorphism screening from which 14 polymorphic SSRs were used for molecular characterization of HPB and LPB bulks, tagging genomic regions. The allelic data scored for 14 polymorphic lines was tested using Student’s t-test analysis to understand relationships for primary branches with SSR markers and amplified alleles. Based on this, two B-genome markers (Ni2-C12 and Ni2-A11) were discovered to be strongly linked to the number of primary branches. Bioinformatic analysis located these two markers within a 9 Mb region on chromosome B5 of B. juncea. Utilising F2:5 lines of an inter-gene pool genetic cross, the current study was able to locate the loci regulating the number of primary branches on B. juncea's sub-genome chromosome B5. Before proceeding with fine-mapping investigations to dissect the genomic region (between 55.9 and 64.9 Mb) of sub-genome chromosome B5, it is imperative to emphasize the necessity of verifying these results across diverse genetic backgrounds. 

Keywords

Main Subjects

Akhatar, J., and Banga, S.S. (2015). Genome-wide association mapping for grain yield components and root traits in Brassica juncea (L.) Czern & Coss. Mol Breed 35: 1-14.
Axelsson, T., Bowman, C., Sharpe, A., Lydiate, D., and Lagercrantz, U. (2000). Amphidiploid Brassica juncea contains conserved progenitor genomes. Genome 43(4): 679-688.
Chen, B., and Heneen, W. (1992). Inheritance of seed colour in Brassica campestris L. and breeding for yellow-seeded B. napus L. Euphytica 59: 157-163.
Kaur, H., and Banga, S. (2015). Discovery and mapping of Brassica juncea Sdt1 gene associated with determinate plant growth habit. Theor Appl Genet 128: 235-245.
Kumar, A. (2016). Production barriers and technological options for sustainable production of rapeseed-mustard in India. J Oilseed Brassica 1(2): 67-77.
Kumar, R., Saini, D.K., Kumar, M., Priyanka, V., Akhatar, J., Kaushik, D., Sharma, A., Dhanda, P.S., and Kaushik, P. (2022). Revealing the genetic architecture of yield-related and quality traits in Indian mustard [Brassica juncea (L.) Czern. and Coss.] using Meta-QTL analysis. Agronomy 12(10): 2442.
Michelmore, R.W., Paran, I., and Kesseli, R. (1991). Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations. Proc Natl Acad Sci USA 88(21): 9828-9832.
Pradhan, A.K., Sodhi, Y.S., Mukhopadhyay, A., and Pental, D. (1993). Heterosis breeding in Indian mustard (Brassica juncea L. Czern & Coss): analysis of component characters contributing to heterosis for yield. Euphytica 69: 219-229.
Ramanujam, S., and Rai, B. (1963). Analysis of yield components in Brassica campestris var. yellow sarson.
Ramchiary, N., Padmaja, K., Sharma, S., Gupta, V., Sodhi, Y., Mukhopadhyay, A., Arumugam, N., Pental, D., and Pradhan, A. (2007). Mapping of yield influencing QTL in Brassica juncea: implications for breeding of a major oilseed crop of dryland areas. Theor Appl Genet 115: 807-817.
Singh, A.K., Singh, A.K., Choudhary, A.K., Aradhna Kumari, A.K., and Rakesh Kumar, R.K. (2017). Towards oilseeds sufficiency in India: present status and way forward. J AgriSearch 4(2): 80-84.
Singh, N., Vasudev, S., Kumar Yadava, D., Kumar, S., Naresh, S., Ramachandra Bhat, S., and Vinod Prabhu, K. (2013). Assessment of genetic diversity in Brassica juncea Brassicaceae genotypes using phenotypic differences and SSR markers. Rev Biol Trop 61(4): 1919-1934.
Singh, S.P., and Singh, D. (1972). Inheritance of yield and other agronomic characters in Indian mustard (Brassica juncea). Can J Genet Cytol 14(2): 227-233.
Snowdon, R.J. (2007). Cytogenetics and genome analysis in Brassica crops. Chromosome Res 15: 85-95.
Tiwari, V. (2019). Morphological parameters in breeding for higher seed yield in Indian mustard [Brassica juncea (L.) Czern. & Coss.]. Electron J Plant Breed 10(1): 187-195.
Yadava, S.K., Arumugam, N., Mukhopadhyay, A., Sodhi, Y.S., Gupta, V., Pental, D., and Pradhan, A.K. (2012). QTL mapping of yield-associated traits in Brassica juncea: meta-analysis and epistatic interactions using two different crosses between east European and Indian gene pool lines. Theor Appl Genet 125: 1553-1564.
Zhu, P., Cheng, M., Feng, X., Xiong, Y., Liu, C., and Kang, Y. (2016). Mapping of Pi, a gene conferring pink leaf in ornamental kale (Brassica oleracea L. var. acephala DC). Euphytica 207: 377-385.
Volume 11, Issue 2
June 2023
Pages 78-93
  • Receive Date: 03 March 2024
  • Revise Date: 02 April 2024
  • Accept Date: 08 April 2024
  • First Publish Date: 08 April 2024