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A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta

Social insects live in cooperative colonies, often in high densities and with closely related individuals, and interact using social contact behaviours. Compared to solitary insects, social insects have evolved multi-level immunity that includes immune responses common to holometabolous insects, and...

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Autores principales: Johansson, Helena, Dhaygude, Kishor, Lindström, Stafva, Helanterä, Heikki, Sundström, Liselotte, Trontti, Kalevi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832538/
https://www.ncbi.nlm.nih.gov/pubmed/24260298
http://dx.doi.org/10.1371/journal.pone.0079777
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author Johansson, Helena
Dhaygude, Kishor
Lindström, Stafva
Helanterä, Heikki
Sundström, Liselotte
Trontti, Kalevi
author_facet Johansson, Helena
Dhaygude, Kishor
Lindström, Stafva
Helanterä, Heikki
Sundström, Liselotte
Trontti, Kalevi
author_sort Johansson, Helena
collection PubMed
description Social insects live in cooperative colonies, often in high densities and with closely related individuals, and interact using social contact behaviours. Compared to solitary insects, social insects have evolved multi-level immunity that includes immune responses common to holometabolous insects, and social immunity, which is exclusive to social taxa. This suggests that social insects may be subject to high pathogen pressure, yet relatively little is known about the range of symbiotic and pathogenic microbial communities that associate with social insects. In this study we examined transcriptome data generated from the ant Formica exsecta for sequences identifying as microbes (or other organisms potentially of non-ant origin). Sequences showing homology to two viruses and several other potentially or obligate intracellular organisms, such as Wolbachia, Arsenophonus, Entomoplasmatales and Microsporidia, were present in the transcriptome data. These homologous sequence matches correspond to genera/species that have previously been associated with a variety of insects, including social insects. There were also sequences with identity to several other microbes such as common moulds and soil bacteria. We conclude that this sequence data provides a starting point for a deeper understanding of the biological interactions between a species of ant and the micro- and macrobiotic communities that it potentially encounters.
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spelling pubmed-38325382013-11-20 A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta Johansson, Helena Dhaygude, Kishor Lindström, Stafva Helanterä, Heikki Sundström, Liselotte Trontti, Kalevi PLoS One Research Article Social insects live in cooperative colonies, often in high densities and with closely related individuals, and interact using social contact behaviours. Compared to solitary insects, social insects have evolved multi-level immunity that includes immune responses common to holometabolous insects, and social immunity, which is exclusive to social taxa. This suggests that social insects may be subject to high pathogen pressure, yet relatively little is known about the range of symbiotic and pathogenic microbial communities that associate with social insects. In this study we examined transcriptome data generated from the ant Formica exsecta for sequences identifying as microbes (or other organisms potentially of non-ant origin). Sequences showing homology to two viruses and several other potentially or obligate intracellular organisms, such as Wolbachia, Arsenophonus, Entomoplasmatales and Microsporidia, were present in the transcriptome data. These homologous sequence matches correspond to genera/species that have previously been associated with a variety of insects, including social insects. There were also sequences with identity to several other microbes such as common moulds and soil bacteria. We conclude that this sequence data provides a starting point for a deeper understanding of the biological interactions between a species of ant and the micro- and macrobiotic communities that it potentially encounters. Public Library of Science 2013-11-18 /pmc/articles/PMC3832538/ /pubmed/24260298 http://dx.doi.org/10.1371/journal.pone.0079777 Text en © 2013 Johansson et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Johansson, Helena
Dhaygude, Kishor
Lindström, Stafva
Helanterä, Heikki
Sundström, Liselotte
Trontti, Kalevi
A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title_full A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title_fullStr A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title_full_unstemmed A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title_short A Metatranscriptomic Approach to the Identification of Microbiota Associated with the Ant Formica exsecta
title_sort metatranscriptomic approach to the identification of microbiota associated with the ant formica exsecta
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3832538/
https://www.ncbi.nlm.nih.gov/pubmed/24260298
http://dx.doi.org/10.1371/journal.pone.0079777
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