Evidence map›Paper›PMID 27992477›Full record

ArticlePloS one2016

Unravelling the Molecular Epidemiology and Genetic Diversity among Burkholderia pseudomallei Isolates from South India Using Multi-Locus Sequence Typing.

Chaitanya Tellapragada, Aayushi Kamthan, Tushar Shaw, Vandana Ke, Subodh Kumar, Vinod Bhat, Chiranjay Mukhopadhyay

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Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The Genomic Epidemiology of ClinicalPathogens (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Human Melioidosis.Clinical microbiology reviews · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chaitanya TellapragadaDepartment of Microbiology, Kasturba Medical College, Manipal University, Manipal, India.
Aayushi KamthanDivision of Microbiology, Defense Research and Development Organization, Gwalior, India.
Tushar ShawDepartment of Microbiology, Kasturba Medical College, Manipal University, Manipal, India.
Vandana KeDepartment of Microbiology, Kasturba Medical College, Manipal University, Manipal, India.
Subodh KumarDivision of Microbiology, Defense Research and Development Organization, Gwalior, India.
Vinod BhatDepartment of Community Medicine, Kasturba Medical College, Manipal University, Manipal, India.
Chiranjay MukhopadhyayDepartment of Microbiology, Kasturba Medical College, Manipal University, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a slow but steady rise in the case detection rates of melioidosis from various parts of the Indian sub-continent in the past two decades. However, the epidemiology of the disease in India and the surrounding South Asian countries remains far from well elucidated. Multi-locus sequence typing (MLST) is a useful epidemiological tool to study the genetic relatedness of bacterial isolates both with-in and across the countries. With this background, we studied the molecular epidemiology of 32 Burkholderia pseudomallei isolates (31 clinical and 1 soil isolate) obtained during 2006-2015 from various parts of south India using multi-locus sequencing typing and analysis. Of the 32 isolates included in the analysis, 30 (93.7%) had novel allelic profiles that were not reported previously. Sequence type (ST) 1368 (n = 15, 46.8%) with allelic profile (1, 4, 6, 4, 1, 1, 3) was the most common genotype observed. We did not observe a genotypic association of STs with geographical location, type of infection and year of isolation in the present study. Measure of genetic differentiation (FST) between Indian and the rest of world isolates was 0.14413. Occurrence of the same ST across three adjacent states of south India suggest the dispersion of B.pseudomallei across the south western coastal part of India with limited geographical clustering. However, majority of the STs reported from the present study remained as "outliers" on the eBURST "Population snapshot", suggesting the genetic diversity of Indian isolates from the Australasian and Southeast Asian isolates.

Indexed as

Genetic VariationBacterial Typing TechniquesBurkholderia pseudomalleiCluster AnalysisDNA, BacterialEvolution, MolecularHumansIndiaMelioidosisMolecular EpidemiologyMultilocus Sequence TypingSequence Analysis, DNASoil MicrobiologyDNA, Bacterial

Identifiers

PMID27992477
PMCPMC5167363

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