Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/54971
Title: A study on the differentiation of filamentous cyanobacterial isolates using DNA fingerprinting approach
Authors: Negi, Yogesh
Sharma, Sunil
Sutradhar, Ninni
Adhikari, Samrat
Keywords: Cyanobacteria;Genetic diversity;DNA fingerprinting;UPGMA cluster analysis
Issue Date: Oct-2019
Publisher: NISCAIR-CSIR, India
Abstract: The present study investigates the implication of DNA fingerprinting in discrimination of class isolates collected from a spread of habitats in south west Khasi Hills district of Meghalaya, India. Five totally different primers i.e., M13, enterbacterial repetitive intergenic consensus (ERIC), short tandem repetitive repeats (STRRs) 1A & B and long tandem repetitive repeats (LTRRs), derived from repetitive sequences gift within the ordering of true bacteria, were utilized. The generated knowledge was then evaluated for fingerprinting exploitation procedure and unweighted pairgroup method of arithmetic average (UPGMA) based dendrograms. Clear and variable stripe patterns were obtained for every of the targeted genomic regions used, LTRR being the sole exception. The stripe patterns delineate the existence of 2 basic distinct populations of true bacteria among the 19 isolates. The UPGMA cluster analyses in addition, disclosed the presence of numerous lineages among the isolates. On examination the resolution capability of the four genomic regions studied, it had been seen that, with the exception of LTRR, all the opposite regions hold smart resolution and therefore the ability to differentiate between numerous class populations. The results of the current study indicate the incidence of genetic variants among the 19 morphologically identical isolates of filiform cyanobacteria. Additionally, the study additionally explicates the quality of DNA fingerprinting supplemented with UPGMA cluster analysis as a speedy, economical and value effective tool for differentiating among morphologically identical populations.
Page(s): 337-345
URI: http://nopr.niscair.res.in/handle/123456789/54971
ISSN: 0975-0967 (Online); 0972-5849 (Print)
Appears in Collections:IJBT Vol.18(4) [October 2019]

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