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MicrobiologyOpen
Article . 2018 . Peer-reviewed
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MicrobiologyOpen
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MicrobiologyOpen
Article . 2019
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PubMed Central
Article . 2018
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Genomic characterization of Nocardia seriolae strains isolated from diseased fish

Authors: Hyun‐Ja Han; Min‐Jung Kwak; Sung‐min Ha; Seung‐Jo Yang; Jin Do Kim; Kyoung‐hee Cho; Tae‐Wook Kim; +4 Authors

Genomic characterization of Nocardia seriolae strains isolated from diseased fish

Abstract

Abstract Members of the genus Nocardia are widespread in diverse environments; a wide range of Nocardia species are known to cause nocardiosis in several animals, including cat, dog, fish, and humans. Of the pathogenic Nocardia species, N. seriolae is known to cause disease in cultured fish, resulting in major economic loss. We isolated two N. seriolae strains, CK ‐14008 and EM 15050, from diseased fish and sequenced their genomes using the PacBio sequencing platform. To identify their genomic features, we compared their genomes with those of other Nocardia species. Phylogenetic analysis showed that N. seriolae shares a common ancestor with a putative human pathogenic Nocardia species. Moreover, N. seriolae strains were phylogenetically divided into four clusters according to host fish families. Through genome comparison, we observed that the putative pathogenic Nocardia strains had additional genes for iron acquisition. Dozens of antibiotic resistance genes were detected in the genomes of N. seriolae strains; most of the antibiotics were involved in the inhibition of the biosynthesis of proteins or cell walls. Our results demonstrated the virulence features and antibiotic resistance of fish pathogenic N. seriolae strains at the genomic level. These results may be useful to develop strategies for the prevention of fish nocardiosis.

Keywords

Virulence Factors, Iron, Computational Biology, Nocardia Infections, Original Articles, Sequence Analysis, DNA, Nocardia, Fish Diseases, Genes, Bacterial, Drug Resistance, Bacterial, Animals, Cluster Analysis, Genome, Bacterial, Phylogeny

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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!
57
Top 1%
Top 10%
Top 10%
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gold