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Identification of Novel Sequence Types among Staphylococcus haemolyticus Isolated from Variety of Infections in India

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 08 Nov 2016 English Publisher:Public Library of Science (PLoS)Journal:PLOS ONE, volume 11, page e0166193 (eissn: 1932-6203, Copyright policy )
Authors: Sasmita Panda; Smrutiti Jena; Savitri Sharma; Benu Dhawan; Gopal Nath; Durg Vijai Singh;

doi: 10.1371/journal.pone.0166193

pmid: 27824930

pmc: PMC5100990

Identification of Novel Sequence Types among Staphylococcus haemolyticus Isolated from Variety of Infections in India

Abstract

The aim of this study was to determine sequence types of 34 S. haemolyticus strains isolated from a variety of infections between 2013 and 2016 in India by MLST. The MEGA5.2 software was used to align and compare the nucleotide sequences. The advanced cluster analysis was performed to define the clonal complexes. MLST analysis showed 24 new sequence types (ST) among S. haemolyticus isolates, irrespective of sources and place of isolation. The finding of this study allowed to set up an MLST database on the PubMLST.org website using BIGSdb software and made available at http://pubmlst.org/shaemolyticus/. The data of this study thus suggest that MLST can be used to study population structure and diversity among S. haemolyticus isolates.

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Keywords

DNA, Bacterial, Genotype, Science, Q, R, Genetic Variation, India, Sequence Analysis, DNA, Staphylococcal Infections, Staphylococcus haemolyticus, Bacterial Typing Techniques, Medicine, Cluster Analysis, Humans, Phylogeny, Research Article, Multilocus Sequence Typing

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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