ISSN : 0975-2862
EISSN : 0975-9158
YAIKHOM VIVEKANANDA1*, JESMI DEVI WAREPAM2, JADUMANI AHONGSHANGBAM3, N.B. SINGH4, J.M. LAISHRAM5
1Department of Genetics & Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, 795004, India
2Department of Biotechnology, H.K. School of Life Sciences, Assam University, Silchar, 788011, India
3Department of Genetics & Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, 795004, India
4Department of Genetics & Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, 795004, India
5Department of Genetics & Plant Breeding, College of Agriculture, Central Agricultural University, Imphal, 795004, India
* Corresponding Author : boneybi@gmail.com
Received : 19-05-2018 Accepted : 27-05-2018 Published : 30-05-2018
Volume : 10 Issue : 5 Pages : 434 - 437
Genetics 10.5 (2018):434-437
DOI : http://dx.doi.org/10.9735/0975-2862.10.5.434-437
Keywords : Maize, β-carotene, crtRB1 gene, Manipur
Academic Editor : Ch. Dhananjoy Singh
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Central Agricultural University, Imphal, 795004, India
Author Contribution : All author equally contributed
Vitamin A is one of the essential nutrients for normal functioning and growth in our body. Biofortification of vitamin A in the crop (Maize) is an economical way to overcome vitamin A deficiency. The crtRB1 is an important gene in the carotenoid pathway which increases β-carotene accumulation in maize. Selecting the lines having favourable allele is a cost-effective method alternative to high performance liquid chromatography (HPLC). In the present study, we screened hundred maize lines of Manipur derived from CAU-87 using a crtRB1 3’TE gene-specific marker and found that three lines viz., CAU-87-9, CAU-87-12, CAU-87-28 contained the favourable allele which can be utilized for maize improvement programme.
1. Vignesh M., Hossain F., Nepolean T., Choudhary M., Saha S., Bhat J.S., Prasanna M.B., Gupta H.S. (2012) Indian J. Genet., 72,189–194.
2. Yan J.B., Kandianis C.B., Harjes C.E., Bai L., Kim E., Yang X.H., Skinner D., Fu Z.Y., Mitchell S., Li Q., Fernandez M.G.S., Zaharieva M., Babu R., Fu Y., Palacios N., Li J.S., DellaPenna D., Brutnell T., Buckler E.S., Warburton M.L., Rocheford T. (2010) Nat Genet., 2(4),322-7.
3. Shiferaw B., Prasanna B. M., Hellin J., Banziger M. (2011) Food Security,3, 307-327.
4. Ayisi K.K., Poswall M.A.L. (1997) Europ. J. Agron., 16,151–159.
5. Tanumihardjo S.A., Bouis H., Hotz C., Meenakshi J.V., McClafferty B. (2008) Compr. Rev. Food Sci. Food Safety,7, 329–334.
6. Harjes E.C., Rocheford R.T., Ling B., Brutnell P.T., Kandianis B.C., Sowinski G.S., Stapleton E.A., Vallabhaneni R., Williams M., Wurtzel T.E., Yan J., Buckler S.E. (2008) Sci., 319, 330–333.
7. Selvi T.D., Senthil N., Yuvaraj N., John Joel A., Mahalingam A., Nagarajan P., Vellaikumar S., Srimathi P., Raveendran M. and Nepolean T. (2014) Food Biotechnology, 28, 41-49.
8. Li Q., Farre G., Naqvi S., Breitenbach J., Sanahuja G., Bai C., Sandmann G., Capell T., Christou P., Zhu C. (2010) Transgenic Res., 19,1053–1068.
9. Babu R., Rojas N.P., Gao S., Yan J., Pixley K. (2012) Theor. Appl. Gene., 126, 389–399.
10. Muthusamy V., Hossain F.,Thirunavukkarasu N., Choudhary M., Saha, S. (2014) PLoS ONE, 9(12), 1-22.
11. Zunjare R.U., Hossain F., Muthusamy V. (2017) Plant Breed., 136, 872–880.
12. Fu Z., Chai Y., Zhou Y., Yang X., Warburton M.L., Xu S., Cai Y., Zhang D., Li J., Yan J. (2013) TheorApplGenet, 126, 923–935.
13. Anjula P., Semwal D.P., Ahlawat S.P., Sharma S.K. (2015) Maize (Zea mays): Collection Status, Diversity Mapping and Gap Analysis, National Bureau of Plant Genetic Resources, New Delhi, India, 34.
14. Chuwanghijam, Dhananjoychingangbam, Thangjamsurchandra, Laishram J.M. (2017) International Journal of Agricultural Science and Research, 7(1),115-120.
15. Zheng K., Subudhi P.K., Domingo J., Magpantay G. and Huang N. (1995) Rice Genetics Newsletter, 12, 255–258.