In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760

Although four Shigella species (S. flexneri, S. sonnei, S. dysenteriae, and S. boydii) have been reported, S. sp. PAMC 28760, an Antarctica isolate, is the only one with a complete genome deposited in NCBI database as an uncharacterized isolate. Because it is the world’s driest, windiest, and coldes...

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Published in:Virulence
Main Authors: Shrestha, Prasansah, Karmacharya, Jayram, Han, So-Ra, Park, Hyun, Oh, Tae-Jin
Format: Text
Language:English
Published: Taylor & Francis 2022
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450901/
http://www.ncbi.nlm.nih.gov/pubmed/36040103
https://doi.org/10.1080/21505594.2022.2117679
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spelling ftpubmed:oai:pubmedcentral.nih.gov:9450901 2023-05-15T13:54:00+02:00 In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760 Shrestha, Prasansah Karmacharya, Jayram Han, So-Ra Park, Hyun Oh, Tae-Jin 2022-08-30 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450901/ http://www.ncbi.nlm.nih.gov/pubmed/36040103 https://doi.org/10.1080/21505594.2022.2117679 en eng Taylor & Francis http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450901/ http://www.ncbi.nlm.nih.gov/pubmed/36040103 http://dx.doi.org/10.1080/21505594.2022.2117679 © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. CC-BY Virulence Research Paper Text 2022 ftpubmed https://doi.org/10.1080/21505594.2022.2117679 2022-09-11T00:59:26Z Although four Shigella species (S. flexneri, S. sonnei, S. dysenteriae, and S. boydii) have been reported, S. sp. PAMC 28760, an Antarctica isolate, is the only one with a complete genome deposited in NCBI database as an uncharacterized isolate. Because it is the world’s driest, windiest, and coldest continent, Antarctica provides an unfavourable environment for microorganisms. Computational analysis of genomic sequences of four Shigella species and our uncategorized Antarctica isolates Shigella sp. PAMC28760 was performed using MP3 (offline version) program to predict trehalase encoding genes as a pathogenic or non-pathogenic form. Additionally, we employed RAST and Prokka (offline version) annotation programs to determine locations of periplasmic (treA) and cytoplasmic (treF) trehalase genes in studied genomes. Our results showed that only 56 out of 134 Shigella strains had two different trehalase genes (treF and treA). It was revealed that the treF gene tends to be prevalent in Shigella species. In addition, both treA and treF genes were present in our strain S. sp. PAMC28760. The main objective of this study was to predict the prevalence of two different trehalase genes (treF and treA) in the complete genome of Shigella sp. PAMC28760 and other complete genomes of Shigella species. Till date, it is the first study to show that two types of trehalase genes are involved in Shigella species, which could offer insight on how the bacteria use accessible carbohydrate like glucose produced from the trehalose degradation pathway, and importance of periplasmic trehalase involvement in bacterial virulence. Text Antarc* Antarctica PubMed Central (PMC) Virulence 13 1 1502 1514
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Paper
spellingShingle Research Paper
Shrestha, Prasansah
Karmacharya, Jayram
Han, So-Ra
Park, Hyun
Oh, Tae-Jin
In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
topic_facet Research Paper
description Although four Shigella species (S. flexneri, S. sonnei, S. dysenteriae, and S. boydii) have been reported, S. sp. PAMC 28760, an Antarctica isolate, is the only one with a complete genome deposited in NCBI database as an uncharacterized isolate. Because it is the world’s driest, windiest, and coldest continent, Antarctica provides an unfavourable environment for microorganisms. Computational analysis of genomic sequences of four Shigella species and our uncategorized Antarctica isolates Shigella sp. PAMC28760 was performed using MP3 (offline version) program to predict trehalase encoding genes as a pathogenic or non-pathogenic form. Additionally, we employed RAST and Prokka (offline version) annotation programs to determine locations of periplasmic (treA) and cytoplasmic (treF) trehalase genes in studied genomes. Our results showed that only 56 out of 134 Shigella strains had two different trehalase genes (treF and treA). It was revealed that the treF gene tends to be prevalent in Shigella species. In addition, both treA and treF genes were present in our strain S. sp. PAMC28760. The main objective of this study was to predict the prevalence of two different trehalase genes (treF and treA) in the complete genome of Shigella sp. PAMC28760 and other complete genomes of Shigella species. Till date, it is the first study to show that two types of trehalase genes are involved in Shigella species, which could offer insight on how the bacteria use accessible carbohydrate like glucose produced from the trehalose degradation pathway, and importance of periplasmic trehalase involvement in bacterial virulence.
format Text
author Shrestha, Prasansah
Karmacharya, Jayram
Han, So-Ra
Park, Hyun
Oh, Tae-Jin
author_facet Shrestha, Prasansah
Karmacharya, Jayram
Han, So-Ra
Park, Hyun
Oh, Tae-Jin
author_sort Shrestha, Prasansah
title In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
title_short In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
title_full In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
title_fullStr In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
title_full_unstemmed In silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of Antarctica Shigella sp. PAMC28760
title_sort in silico analysis and a comparative genomics approach to predict pathogenic trehalase genes in the complete genome of antarctica shigella sp. pamc28760
publisher Taylor & Francis
publishDate 2022
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450901/
http://www.ncbi.nlm.nih.gov/pubmed/36040103
https://doi.org/10.1080/21505594.2022.2117679
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Antarctica
op_source Virulence
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450901/
http://www.ncbi.nlm.nih.gov/pubmed/36040103
http://dx.doi.org/10.1080/21505594.2022.2117679
op_rights © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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op_doi https://doi.org/10.1080/21505594.2022.2117679
container_title Virulence
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