Lookup NU author(s): Emeritus Professor Hans-Peter Klenk
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2019 Akhwale et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.We report complete genome sequences of eight bacteriophages isolated from Haloalkaline Lake Elmenteita found on the floor of Kenyan Rift Valley. The bacteriophages were sequenced, annotated and a comparative genomic analysis using various Bioinformatics tools carried out to determine relatedness of the bacteriophages to each other, and to those in public databases. Basic genome properties like genome size, percentage coding density, number of open reading frames, percentage GC content and gene organizations revealed the bacteriophages had no relationship to each other. Comparison to other nucleotide sequences in GenBank database showed no significant similarities hence novel. At the amino acid level, phages of our study revealed mosaicism to genes with conserved domains to already described phages. Phylogenetic analyses of large terminase gene responsible for DNA packaging and DNA polymerase gene for replication further showed diversity among the bacteriophages. Our results give insight into diversity of bacteriophages in Lake Elmenteita and provide information on their evolution. By providing primary sequence information, this study not only provides novel sequences for biotechnological exploitation, but also sets stage for future studies aimed at better understanding of virus diversity and genomes from haloalkaline lakes in the Rift Valley.
Author(s): Akhwale JK, Rohde M, Rohde C, Bunk B, Sproer C, Klenk H-P, Boga HI, Wittmann J
Publication type: Article
Publication status: Published
Journal: PLoS One
Online publication date: 14/01/2019
Acceptance date: 28/01/2019
ISSN (electronic): 1932-6203
Publisher: Public Library of Science
PubMed id: 30763364
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