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Identification of drug-resistantMycobacterium tuberculosis by single strand conformation polymorphism and cleavase fragment length polymorphism.

ABSTRACT: Twenty isolates ofMycobacterium tuberculosis resistant to rifampicin(RIF), isoniazid(INH) and streptomycin(STR) were analysed by Polymerase Chain Reaction (PCR) amplification of rpoB, katG and rrs genes to evaluate comparative diagnostic significance of genetic assays. Mutations were identified by single strand conformation polymorphism (SSCP) and cleavase fragment length polymorphism (CFLP) and were confirmed by DNA sequencing. SSCP of 4 RIF resistant and 14 INH resistant isolates showed an extra peak at the level of 75-bp and 85-bp respectively, while 2 STR resistant isolates showed 2 peaks with 9 bases difference. CFLP showed a different pattern among RIF, INH and STR sensitive and resistant isolates Thus SSCP and CFLP can be used as alternative diagnostic methods for identification of mutations in RIF, INH and STR resistant strains of M.tuberculosis.

SUBMITTER: Sharma M

PROVIDER: S-EPMC3453957 | biostudies-other | 2000 Jul

REPOSITORIES: biostudies-other

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Identification of drug-resistantMycobacterium tuberculosis by single strand conformation polymorphism and cleavase fragment length polymorphism.

Sharma M M Altamirano M M

Indian journal of clinical biochemistry : IJCB 20000701 2

Twenty isolates ofMycobacterium tuberculosis resistant to rifampicin(RIF), isoniazid(INH) and streptomycin(STR) were analysed by Polymerase Chain Reaction (PCR) amplification of rpoB, katG and rrs genes to evaluate comparative diagnostic significance of genetic assays. Mutations were identified by single strand conformation polymorphism (SSCP) and cleavase fragment length polymorphism (CFLP) and were confirmed by DNA sequencing. SSCP of 4 RIF resistant and 14 INH resistant isolates showed an ext ...[more]

PMID: 23105247

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Project description:BACKGROUND:We have previously developed a long RT-PCR method for selective amplification of full-length PKD1 transcripts (13.6 kb) and a long-range PCR for amplification in the reiterated region (18 kb) covering exons 14 and 34 of the PKD1 gene. These have provided us with an opportunity to study PKD1 mutations especially in its reiterated region which is difficult to examine. In this report, we have further developed the method of multiple restriction fragment-single strand conformation polymorphism (MRF-SSCP) for analysis of PKD1 mutations in the patients with autosomal dominant polycystic kidney disease (ADPKD). Novel and de novo PKD1 mutations are identified and reported. METHODS:Full-length PKD1 cDNA isolated from the patients with ADPKD was fractionated into nine overlapping segments by nested-PCR. Each segment was digested with sets of combined restriction endonucleases before the SSCP analysis. The fragments with aberrant migration were mapped, isolated, and sequenced. The presence of mutation was confirmed by the long-range genomic DNA amplification in the PKD1 region, sequencing, direct mutation detection, and segregation analysis in the affected family. RESULTS:Five PKD1 mutations identified are two frameshift mutations caused by two di-nucleotide (c. 5225_5226delAG and c.9451_9452delAT) deletions, a nonsense (Q1828X, c.5693C>T) mutation, a splicing defect attributable to 31 nucleotide deletion (g.33184_33214del31), and an in-frame deletion (L3287del, c.10070_10072delCTC). All mutations occurred within the reiterated region of the gene involving exons 15, 26, 15, 19 and 29, respectively. Three mutations (one frameshift, splicing defect, and in-frame deletion) are novel and two (one frameshift and nonsense) known. In addition, two mutations (nonsense and splicing defect) are possibly de novo. CONCLUSION:The MRF-SSCP method has been developed to analyze PCR products generated by the long RT-PCR and nested-PCR technique for screening PKD1 mutations in the full-length cDNA. Five mutations identified were all in the reiterated region of this gene, three of which were novel. The presence of de novo PKD1 mutations indicates that this gene is prone to mutations.

Dataset Information

Identification of drug-resistantMycobacterium tuberculosis by single strand conformation polymorphism and cleavase fragment length polymorphism.

Publications

Identification of drug-resistantMycobacterium tuberculosis by single strand conformation polymorphism and cleavase fragment length polymorphism.

Similar Datasets

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