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A phylogenetic study of Elizabethkingia anophelis bloodstream isolates obtained from inpatients at a single medical center

Published online by Cambridge University Press:  01 August 2019

Rajesh Kumar Sahoo
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Saubhagini Sahoo
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Aradhana Das
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Mahendra Gaur
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Debadatta Bhanjadeo
Affiliation:
Department of Health and Family Welfare, Government of Odisha, Bhubaneswar, Odisha, India
Prasanjeeta Panda
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
Enketeswara Subudhi*
Affiliation:
Centre for Biotechnology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
*
Author for correspondence: Dr Enketeswara Subudhi MTech, PhD, Centre for Biotechnology, School of Pharmaceutical Sciences, Siksha ‘O’ Anusandhan University, Kalinga Nagar, Ghatikia, Bhubaneswar, Odisha-751003 (IN). Email: enketeswarasubudhi@soa.ac.in
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Abstract

Information

Type
Letter to the Editor
Copyright
© 2019 by The Society for Healthcare Epidemiology of America. All rights reserved. 
Figure 0

Fig. 1.The phylogenetic tree was developed using REP and (GTG)5 PCR. We observed close clustering among 9 isolates as they relate to the same in-patient department (as labeled): EA1 and EA2 with EA4; EA6 with EA8; and EA5 with EA7. A phylogenetic tree was constructed based on Jaccard similarity coefficient. Hierarchical clustering was performed by hclust function (R Core Team stats 3.5.3) using the unweighted pair group method with arithmetic mean (UPGMA) method, and the tree was cut into an optimal number of clusters along with bootstrapping 1,000 times (Pvclust version 2.0).

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Sahoo et al. supplementary material

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