QUANTITATIVE ESTIMATION OF DNA ISOLATED FROM VARIOUS PARTS OF ANNONA SQUAMOSA
Journal Title: International Research Journal of Pharmacy (IRJP) - Year 2011, Vol 2, Issue 12
Abstract
Plants have been one of the important sources of medicines since the beginning of human civilization. There is a growing demand for plant based medicines, health products, pharmaceuticals, food supplements, cosmetics etc. Annona squamosa Linn is a multipurpose tree with edible fruits & is a source one of the medicinal & industrial products. Annona squamosa Linn is used as an antioxidant, antidiabetics, hepatoprotective, cytotoxicactivity, genetoxicity, antitumor activity, antilice agent. It is related to contain alkaloids, flavonoids, carbohydrates, fixed oils, tannins & phenolic. Genetic variation is essential for long term survival of species and it is a critical feature in conservation. For efficient conservation and management, the genetic composition of the species in different geographic locations needs to be assessed. Plants are attracting more attention among contemporary pharmacy scientists because some human diseases resulting from antibiotic resistance have gained worldwide concern. A number of methods are available and are being developed for the isolation of nucleic acids from plants. The different parts of Annona squamosa were studied for their nucleic acid content by using spectrophotometric analysis. In order to measure DNA content of the Leaves,friuts and stems of Annona squamosa, Spectrophotometry serves various advantages i.e. non-destructive and allows the sample to be recovered for further analysis or manipulation. Spectrophotometry uses the fact that there is a relationship between the absorption of ultraviolet light by DNA/RNA and its concentration in a sample. This article deals with modern approaches to develop a simple, efficient, reliable and cost-effective method for isolation, separation and estimation of total genomic DNA from various parts of the same species.
Authors and Affiliations
Himesh Soni , A. K Singhai , Sarvesh Sharma
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