A simple and rapid method for isolation of DNA for molecular markers and transgene analysis in safflower


Abstract views: 50 / PDF downloads: 7

SIMPLE AND RAPID METHOD FOR ISOLATION OF DNA FOR MOLECULAR MARKERS IN SAFFLOWER

Authors

  • BISHUN DEO PRASAD Department of Molecular Biology & Genetic Engineering, Bihar Agril. University, Sabour, Bhagalpur-813 210, Bihar
  • SANGITA SAHNI Department of Molecular Biology & Genetic Engineering, Bihar Agril. University, Sabour, Bhagalpur-813 210, Bihar
  • PANKAJ KUMAR Department of Molecular Biology & Genetic Engineering, Bihar Agril. University, Sabour, Bhagalpur-813 210, Bihar

https://doi.org/10.56739/jor.v35i2.137400

Keywords:

DNA extraction, ISSR, PCR analysis, RAPD, Safflower

Abstract

In spite of the possibility of analysing large samples and the rapidity of Polymerase Chain Reaction (PCR) technology, the usual protocols for DNA plant extraction remain time-consuming, slow and involves use of hazardous chemicals. To lessen labor, time or cost of DNA extraction, a simple and instant method for genomic DNA extraction from leaf tissue of safflower (Carthamus tinctorius L.) leaf is established. Small quantity of tissue material (typically3-5mg) was ground in a centrifuge tube using plastic pestle in extraction solution. ExtractedDNA was suitable for PCR analysis, without centrifugation. The feasibility of this method was confirmed by testing molecular markers and transgene detection. This method requires less than 1 mg of plant tissue stored frozen or used fresh and is useful for molecular marker analyses as well as transgene detection.

Downloads

Download data is not yet available.

References

Akhshi N, Cheghamirza K, Nazarian-Firouzabadi F and Ahmadi H 2014. Generation mean analysis for yield components in common bean. Iranian Journal of Plant Physiology, 4(3): 1079-1085.

Cavalli L L 1952. An analysis of linkage in quantitative inheritance. In: Quantitative Inheritance. Ed. E. C.R. Reeve and C.H. Waddington, HMSO, London, pp. 135-44.

Hallauer A R and Miranda J B 1988. Quantitative genetics in maize Breeding, Iowa State University Press, Ames, IA.

Hayman B I and Mather K 1955. The description of genetic interactions in continuous variation. Biometrics, 11: 69-82.

Hinkossa A, Gebeyehu S and Zeleke H 2013. Generation mean analysis and heritability of drought resistance in common bean (Phaseolus vulgaris L.). African Journal of Agricultural Research, 8(15): 1319-1329.

Jinks J L and Jones R M 1958. Estimation of the components of heterosis. Genetics, 43: 31-34.

Joshi A B 1979. Breeding methodology for autogamous crops. Indian Journal of Genetics, 39: 567-578.

Joshi A B and Dhawan N L 1966. Genetic improvement in yield with special reference to self-fertilizing crop. Indian Journal of Genetics, 26: 267-278.

Kaur M, Sardana V and Sharma P 2016. Impact ofintercropping of canola oilseed rape (Brassica napus) and Ethiopian mustard (Brassica carinata) with Indian rape (Brassica rapa var. toria) on productivity, economics and competitive indices. Journal of Oilseeds Research, 33(1): 26-32.

Kumar A, Bharti V, Kumar V, Meena P D and Suresh G 2017. Hyperspectral imaging applications in rapeseed and mustard farming. Journal of Oilseeds Research, 34(1): 1-8.

Misra S C, Rao V S, Dixit R N, Surve V D and Patil V P 1994. Genetic control of yield and its components in bread wheat. Indian Journal of Genetics, 54: 77-82.

Sachan J N and Singh B 1987. Generation mean analysis for seed yield and yield components in Indian mustard (Brassica juncea L. Czern & Coss). International Rapeseed Congress, 11-14 May 1987, Poznan, Poland.

Sharmila V, Ganesh S K and Gunasekaran M 2007. Generation mean analysis for quantitative traits in sesame (Sesamum indicum L.) crosses. Genetics and Molecular Biology, 30(1): 80-84.

Singh A P K, Verma O P and Kumar K 2017. Genetic analysis for seed yield and its related attributes in yellow Sarson (Brassica rapa var. yellow sarson). Journal of Oilseed Brassica, 8(1): 43-51.

Singh P and Narayanan S S 2013. Biometrical Techniques in Plant Breeding. 5th revised Edition, Kalayani Publishers, NewDelhi, India.

Singh R K and Chaudhary B D 1985. Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi, pp. 318.

Singh S S and Murty B R 1980. Combining ability and maternal effects in Brassica compestris L. var. yellow sarson. Theoreticall and Applied Genetics, 56: 265-272.

Singh V V, Ram B, Singh M, Meena M L and Chauhan J S 2014. Generation mean analysis of water stress tolerance parameters in Indian mustard [ Brassica juncea (L.) Czern & Coss] crosses. SABRAO Journal of Breeding and Genetics, 46(1): 76-80.

Tomar A, Singh M, Kumar S, Singh S K and Tiwari L P 2017. Selection parameter analysis for F1 and F2 generations in yellow sarson (Brassica rapa L. var. yellow sarson). Journal of Pharmacognosy and Phytochemistry, 6(1): 96-101.

Verma O P, Singh R K, Singh P V and Singh K 1992. Gene effects for six metric-traits in Indian mustard (Brasica juncea). Indian Journal of Agricultural Science, 62(12): 827-829.

Viana J M S 2000. Generation mean analysis to polygenic systems with epistasis and fixed genes. Pesquisa Agropecuaria Brasileira, 35(6): 1159-1167.

Downloads

Submitted

2023-06-07

Published

2018-07-30

How to Cite

BISHUN DEO PRASAD, SANGITA SAHNI, & PANKAJ KUMAR. (2018). A simple and rapid method for isolation of DNA for molecular markers and transgene analysis in safflower: SIMPLE AND RAPID METHOD FOR ISOLATION OF DNA FOR MOLECULAR MARKERS IN SAFFLOWER. Journal of Oilseeds Research, 35(2). https://doi.org/10.56739/jor.v35i2.137400