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1.
Chongqing Medicine ; (36): 4050-4052, 2014.
Article in Chinese | WPRIM | ID: wpr-459566

ABSTRACT

Objective To study the geographical distribution of the HIV/AIDS epidemic in C city .Methods Based on the theory of multiple regression analysis ,trend surface regression mathematical model was constructed .The latitude and longitude coordinates of different districts and data of HIV/AIDS were collected in the model and the results by ArcGIS software were got ,the trend sur-face analysis chart was drawed at last .Results HIV/AIDS infection rates trend surface regression mathematical model of C city was statistically significant difference(P< 0 .05) ,its goodness-of-fit was 53 .18% .Regions exsisted abnormal residual value and should be the paid attention to explore protective or risk factors in these regions .Conclusion The method can be used in the analy-sis of C city HIV/AIDS epidemic systematic variation in the geographic distribution and local district ,and provide some clues for the local epidemic prevention and controlling of HIV/AIDS .

2.
European J Med Plants ; 2013 Apr-Jun; 3(2): 266-280
Article in English | IMSEAR | ID: sea-164022

ABSTRACT

Aim: The present study was carried out to analyze the genetic variations among 20 different populations of Withania somnifera (L.) Dunal collected from different habitats (locations) by RAPD analysis. Methodology: DNA was isolated from the fresh leaf samples collected from the field by Bernatsky and Tankley method. Isolated genomic DNA was purified by phenol: chloroform: isoamyl alcohol (25:24:1) extraction mixture and then amplified by MJ themal cycler. Amplified DNA products were quantified and then subjected to RAPD analysis by the method of Williams et al. Results: Randomly amplified polymorphic DNA (RAPD) was used to analyze the genetic variation and relationship among 20 populations of Withania somnifera collected from different part of South India, including the states of Tamilnadu, Puducherry, Kerala, Andhra Pradesh, Karnataka, Gujarat, Maharashtra and supplemented by two commercial varieties from Uttar Pradesh and Delhi. Out of 40 primers, 11 selected primers produced 96 consistent RAPD markers ranging in size from 0.2 kb to 4.0 kb; out of which 75 were polymorphic. Similarity indices were estimated using the Dice coefficient of similarity and cluster analyses were carried out on the similarity estimates using the unweighted pairgroup method to produce a dendrogram using arithmetic average (UPGMA) in the NTSYSpc-verson 1.80 software. The similarity coefficient ranges from 0.53 to 0.98, suggesting that the pronounced genetic variations exist among populations of W. somnifera in South India. The cluster analysis indicates that the 20 populations of W. somnifera were divided into five major groups, regardless of geographical locations. Conclusion: The RAPD analysis indicates existence of genetic variations in natural populations and it may influence and produce changes in phytochemical constituents of W. somnifera populations.

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