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1.
J Ayurveda Integr Med ; 2012 July-Sept; 3(3): 136-140
Article in English | IMSEAR | ID: sea-173146

ABSTRACT

Background: Herbal drugs used to treat illness according to Ayurveda are often misidentifi ed or adulterated with similar plant materials. Objective: To aid taxonomical identifi cation, we used DNA barcoding to evaluate authentic and substitute samples of herb and phylogenetic relationship of four medicinal plants of family Asparagaceace and Asclepiadaceae. Materials and Methods: DNA extracted from dry root samples of two authentic and two substitutes of four specimens belonging to four species were subjected to polymerase chain reaction (PCR) and DNA sequencing. Primers for nuclear DNA (nu ITS2) and plastid DNA (matK and rpoC1) were used for PCR and sequence analysis was performed by Clustal W. The intraspecifi c variation and interspecifi c divergence were calculated using MEGA V 4.0. Statistical Analysis: Kimura’s two parameter model, neighbor joining and bootstrapping methods were used in this work. Results: The result indicates the effi ciency of amplifi cation for ITS2 candidate DNA barcodes was 100% for four species tested. The average interspecifi c divergence is 0.12 and intraspecifi c variation was 0.232 in the case of two Asparagaceae species. In two Asclepiadaceae species, average interspecifi c divergence and intraspecifi c variation were 0.178 and 0.004 respectively. Conclusions: Our fi ndings show that the ITS2 region can effectively discriminate Asparagus racemosus and Hemidesmus indicus from its substitute samples and hence can resolve species admixtures in raw samples. The ITS2 region may be used as one of the standard DNA barcodes to identify closely related species of family Asclepiadaceae but was noninformative for Asparagaceae species suggesting a need for the development of new markers for each family. More detailed studies involving more species and substitutes are warranted.

2.
Indian J Hum Genet ; 2011 May; 17(Suppl 1): 48-53
Article in English | IMSEAR | ID: sea-138984

ABSTRACT

BACKGROUND: Genetic variations represented as single nucleotide polymorphisms (SNPs) vary across the world population. This genetic polymorphism (such as SNPs) plays an important role in pharmacogenomics. SNPs that affects cellular metabolism, by altering the enzyme activity, have an important role in therapeutic outcome. Allele frequencies in number of clinically relevant SNPs within south Indian populations are not yet known. Hence, we genotyped randomly selected unrelated south Indian subjects from different locations of south India representing the heterogeneous ethnic background of the population. MATERIALS AND METHODS: Common variants of MTHFD1, TYMS, SHMT1, MTR, MTRR, CBS and SULT1A1 gene polymorphisms were screened from healthy unrelated south Indian volunteers. Genotypes were determined using RFLP analysis of polymerase chain reaction-amplified products and confirmed by DNA sequencing. Chi-square test was performed to test for deviation from the Hardy-Weinberg equilibrium for each locus. RESULTS: Gene allele frequency for several polymorphisms in our study differed significantly between the populations of other nations reported for several of the SNPs. These results demonstrate that the populations in different geographic regions may have widely varying genetic allele frequencies for clinically relevant SNPs. CONCLUSION: The present study reports, for the first time, the frequency distribution of MTHFD1, TYMS, SHMT1, MTR, MTRR, CBS and SULTIA1 gene polymorphisms in a south Indian population. Population-specific genetic polymorphism studies will help in practicing pharmacogenomic principles in the clinics.


Subject(s)
5-Methyltetrahydrofolate-Homocysteine S-Methyltransferase/genetics , Arylsulfotransferase/genetics , Cystathionine beta-Synthase/genetics , Ferredoxin-NADP Reductase/genetics , Folic Acid/genetics , Genetic Variation/genetics , Glycine Hydroxymethyltransferase/genetics , Humans , Pharmaceutical Preparations/metabolism , Polymorphism, Genetic , Population Groups , Thymidylate Synthase/genetics
3.
Indian J Hum Genet ; 2009 May; 15(2): 60-64
Article in English | IMSEAR | ID: sea-138872

ABSTRACT

BACKGROUND: The 5,10-methylenetetrahydrofolate reductase (MTHFR) polymorphisms and low folate levels are associated with inhibition of DNA methyltransferase and consequently DNA hypomethylation. The expanding spectrum of common conditions linked with MTHFR polymorphisms includes certain adverse birth outcome, pregnancy complications, cancers, adult cardiovascular diseases and psychiatric disorders, with several of these associations remaining still controversial. Trisomy 21 or Down syndrome (DS) is the most common genetic cause of mental retardation. It stems predominantly from the failure of chromosome 21 to segregate normally during meiosis. Despite substantial research, the molecular mechanisms underlying non-disjunction leading to trisomy 21 are poorly understood. MATERIALS AND METHODS: Two common variants C677T and A1298C of the MTHFR gene were screened in 36 parents with DS children and 60 healthy couples from Tamil Nadu and Karnataka. The MTHFR genotypes were studied by RFLP analysis of PCR-amplified products and confirmed by sequencing. RESULTS: The CT genotype was seen in three each (8.3%) of case mothers and fathers. One case father showed TT genotype. All the control individuals exhibited the wild type CC genotype. A similar frequency for the uncommon allele C of the second polymorphism was recorded in case mothers (0.35) and fathers (0.37) in comparison with the control mothers (0.39) and fathers (0.37). CONCLUSION: This first report on MTHFR C677T and A1298C polymorphisms in trisomy 21 parents from south Indian population revealed that MTHFR 677CT polymorphism was associated with a risk for Down syndrome.


Subject(s)
Adolescent , Alleles/analysis , Child , Down Syndrome/genetics , Fathers , Female , Genetic Association Studies/methods , Genetic Variation/genetics , Genotype , Humans , India/epidemiology , Infant , Intellectual Disability/genetics , Male , Methylenetetrahydrofolate Reductase (NADPH2)/genetics , Population Groups/genetics , Population Groups/genetics
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