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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3832538?pdf=render |
| _version_ | 1818027063748067328 |
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| author | Helena Johansson Kishor Dhaygude Stafva Lindström Heikki Helanterä Liselotte Sundström Kalevi Trontti |
| author_facet | Helena Johansson Kishor Dhaygude Stafva Lindström Heikki Helanterä Liselotte Sundström Kalevi Trontti |
| author_sort | Helena Johansson |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T04:41:57Z |
| format | Article |
| id | doaj.art-77602b28045a4434a22c3705225da54a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T04:41:57Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-77602b28045a4434a22c3705225da54a2022-12-22T02:01:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01811e7977710.1371/journal.pone.0079777A metatranscriptomic approach to the identification of microbiota associated with the ant Formica exsecta.Helena JohanssonKishor DhaygudeStafva LindströmHeikki HelanteräLiselotte SundströmKalevi TronttiSocial 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.http://europepmc.org/articles/PMC3832538?pdf=render |
| spellingShingle | Helena Johansson Kishor Dhaygude Stafva Lindström Heikki Helanterä Liselotte Sundström Kalevi Trontti A metatranscriptomic approach to the identification of microbiota associated with the ant Formica exsecta. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC3832538?pdf=render |
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