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Core gene-based molecular detection and identification of Acanthamoeba species
Acanthamoeba spp. are predominant free-living amoebae of water and soil. They have been used as tools for the isolation and culture of microbes that resist after their phagocytosis, such as Legionella-like bacteria, and, more recently giant viruses for which differences in permissiveness have been r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994504/ https://www.ncbi.nlm.nih.gov/pubmed/32005846 http://dx.doi.org/10.1038/s41598-020-57998-5 |
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author | Chelkha, Nisrine Jardot, Priscilla Moussaoui, Iness Levasseur, Anthony La Scola, Bernard Colson, Philippe |
author_facet | Chelkha, Nisrine Jardot, Priscilla Moussaoui, Iness Levasseur, Anthony La Scola, Bernard Colson, Philippe |
author_sort | Chelkha, Nisrine |
collection | PubMed |
description | Acanthamoeba spp. are predominant free-living amoebae of water and soil. They have been used as tools for the isolation and culture of microbes that resist after their phagocytosis, such as Legionella-like bacteria, and, more recently giant viruses for which differences in permissiveness have been reported. However, problems have been reported regarding their identification at the species level. The present work implemented specific PCR systems for the detection and identification of Acanthamoeba species through comparison of sequences and phylogenetic analyses. Thirty-three Acanthamoeba isolates were studied, including 20 reference strains and 13 isolates retrieved from water, soil or clinical samples. Previous delineation of a core genome encompassing 826 genes based on draft genome sequences from 14 Acanthamoeba species allowed designing PCR systems for one of these core genes that encodes an alanine-tRNA ligase. These primers allowed an efficient and specific screening to detect Acanthamoeba presence. In addition, they identified all 20 reference strains, while partial and complete sequences coding for 18S ribosomal RNA identified only 11 (55%). We found that four isolates may be considered as new Acanthamoeba species. Consistent with previous studies, we demonstrated that some Acanthamoeba isolates were incorrectly assigned to species using the 18S rDNA sequences. Our implemented tool may help determining which Acanthamoeba strains are the most efficient for the isolation of associated microorganisms. |
format | Online Article Text |
id | pubmed-6994504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69945042020-02-06 Core gene-based molecular detection and identification of Acanthamoeba species Chelkha, Nisrine Jardot, Priscilla Moussaoui, Iness Levasseur, Anthony La Scola, Bernard Colson, Philippe Sci Rep Article Acanthamoeba spp. are predominant free-living amoebae of water and soil. They have been used as tools for the isolation and culture of microbes that resist after their phagocytosis, such as Legionella-like bacteria, and, more recently giant viruses for which differences in permissiveness have been reported. However, problems have been reported regarding their identification at the species level. The present work implemented specific PCR systems for the detection and identification of Acanthamoeba species through comparison of sequences and phylogenetic analyses. Thirty-three Acanthamoeba isolates were studied, including 20 reference strains and 13 isolates retrieved from water, soil or clinical samples. Previous delineation of a core genome encompassing 826 genes based on draft genome sequences from 14 Acanthamoeba species allowed designing PCR systems for one of these core genes that encodes an alanine-tRNA ligase. These primers allowed an efficient and specific screening to detect Acanthamoeba presence. In addition, they identified all 20 reference strains, while partial and complete sequences coding for 18S ribosomal RNA identified only 11 (55%). We found that four isolates may be considered as new Acanthamoeba species. Consistent with previous studies, we demonstrated that some Acanthamoeba isolates were incorrectly assigned to species using the 18S rDNA sequences. Our implemented tool may help determining which Acanthamoeba strains are the most efficient for the isolation of associated microorganisms. Nature Publishing Group UK 2020-01-31 /pmc/articles/PMC6994504/ /pubmed/32005846 http://dx.doi.org/10.1038/s41598-020-57998-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chelkha, Nisrine Jardot, Priscilla Moussaoui, Iness Levasseur, Anthony La Scola, Bernard Colson, Philippe Core gene-based molecular detection and identification of Acanthamoeba species |
title | Core gene-based molecular detection and identification of Acanthamoeba species |
title_full | Core gene-based molecular detection and identification of Acanthamoeba species |
title_fullStr | Core gene-based molecular detection and identification of Acanthamoeba species |
title_full_unstemmed | Core gene-based molecular detection and identification of Acanthamoeba species |
title_short | Core gene-based molecular detection and identification of Acanthamoeba species |
title_sort | core gene-based molecular detection and identification of acanthamoeba species |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994504/ https://www.ncbi.nlm.nih.gov/pubmed/32005846 http://dx.doi.org/10.1038/s41598-020-57998-5 |
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