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Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors
Microbial interactions are an underappreciated force in shaping insect microbiome communities. Although pairwise patterns of symbiont interactions have been identified, we have a poor understanding regarding the scale and the nature of co-occurrence and co-exclusion interactions within the microbiom...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140713/ https://www.ncbi.nlm.nih.gov/pubmed/30250462 http://dx.doi.org/10.3389/fmicb.2018.02160 |
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author | Hegde, Shivanand Khanipov, Kamil Albayrak, Levent Golovko, George Pimenova, Maria Saldaña, Miguel A. Rojas, Mark M. Hornett, Emily A. Motl, Greg C. Fredregill, Chris L. Dennett, James A. Debboun, Mustapha Fofanov, Yuriy Hughes, Grant L. |
author_facet | Hegde, Shivanand Khanipov, Kamil Albayrak, Levent Golovko, George Pimenova, Maria Saldaña, Miguel A. Rojas, Mark M. Hornett, Emily A. Motl, Greg C. Fredregill, Chris L. Dennett, James A. Debboun, Mustapha Fofanov, Yuriy Hughes, Grant L. |
author_sort | Hegde, Shivanand |
collection | PubMed |
description | Microbial interactions are an underappreciated force in shaping insect microbiome communities. Although pairwise patterns of symbiont interactions have been identified, we have a poor understanding regarding the scale and the nature of co-occurrence and co-exclusion interactions within the microbiome. To characterize these patterns in mosquitoes, we sequenced the bacterial microbiome of Aedes aegypti, Ae. albopictus, and Culex quinquefasciatus caught in the field or reared in the laboratory and used these data to generate interaction networks. For collections, we used traps that attracted host-seeking or ovipositing female mosquitoes to determine how physiological state affects the microbiome under field conditions. Interestingly, we saw few differences in species richness or microbiome community structure in mosquitoes caught in either trap. Co-occurrence and co-exclusion analysis identified 116 pairwise interactions substantially increasing the list of bacterial interactions observed in mosquitoes. Networks generated from the microbiome of Ae. aegypti often included highly interconnected hub bacteria. There were several instances where co-occurring bacteria co-excluded a third taxa, suggesting the existence of tripartite relationships. Several associations were observed in multiple species or in field and laboratory-reared mosquitoes indicating these associations are robust and not influenced by environmental or host factors. To demonstrate that microbial interactions can influence colonization of the host, we administered symbionts to Ae. aegypti larvae that either possessed or lacked their resident microbiota. We found that the presence of resident microbiota can inhibit colonization of particular bacterial taxa. Our results highlight that microbial interactions in mosquitoes are complex and influence microbiome composition. |
format | Online Article Text |
id | pubmed-6140713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61407132018-09-24 Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors Hegde, Shivanand Khanipov, Kamil Albayrak, Levent Golovko, George Pimenova, Maria Saldaña, Miguel A. Rojas, Mark M. Hornett, Emily A. Motl, Greg C. Fredregill, Chris L. Dennett, James A. Debboun, Mustapha Fofanov, Yuriy Hughes, Grant L. Front Microbiol Microbiology Microbial interactions are an underappreciated force in shaping insect microbiome communities. Although pairwise patterns of symbiont interactions have been identified, we have a poor understanding regarding the scale and the nature of co-occurrence and co-exclusion interactions within the microbiome. To characterize these patterns in mosquitoes, we sequenced the bacterial microbiome of Aedes aegypti, Ae. albopictus, and Culex quinquefasciatus caught in the field or reared in the laboratory and used these data to generate interaction networks. For collections, we used traps that attracted host-seeking or ovipositing female mosquitoes to determine how physiological state affects the microbiome under field conditions. Interestingly, we saw few differences in species richness or microbiome community structure in mosquitoes caught in either trap. Co-occurrence and co-exclusion analysis identified 116 pairwise interactions substantially increasing the list of bacterial interactions observed in mosquitoes. Networks generated from the microbiome of Ae. aegypti often included highly interconnected hub bacteria. There were several instances where co-occurring bacteria co-excluded a third taxa, suggesting the existence of tripartite relationships. Several associations were observed in multiple species or in field and laboratory-reared mosquitoes indicating these associations are robust and not influenced by environmental or host factors. To demonstrate that microbial interactions can influence colonization of the host, we administered symbionts to Ae. aegypti larvae that either possessed or lacked their resident microbiota. We found that the presence of resident microbiota can inhibit colonization of particular bacterial taxa. Our results highlight that microbial interactions in mosquitoes are complex and influence microbiome composition. Frontiers Media S.A. 2018-09-10 /pmc/articles/PMC6140713/ /pubmed/30250462 http://dx.doi.org/10.3389/fmicb.2018.02160 Text en Copyright © 2018 Hegde, Khanipov, Albayrak, Golovko, Pimenova, Saldaña, Rojas, Hornett, Motl, Fredregill, Dennett, Debboun, Fofanov and Hughes. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Hegde, Shivanand Khanipov, Kamil Albayrak, Levent Golovko, George Pimenova, Maria Saldaña, Miguel A. Rojas, Mark M. Hornett, Emily A. Motl, Greg C. Fredregill, Chris L. Dennett, James A. Debboun, Mustapha Fofanov, Yuriy Hughes, Grant L. Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title | Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title_full | Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title_fullStr | Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title_full_unstemmed | Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title_short | Microbiome Interaction Networks and Community Structure From Laboratory-Reared and Field-Collected Aedes aegypti, Aedes albopictus, and Culex quinquefasciatus Mosquito Vectors |
title_sort | microbiome interaction networks and community structure from laboratory-reared and field-collected aedes aegypti, aedes albopictus, and culex quinquefasciatus mosquito vectors |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140713/ https://www.ncbi.nlm.nih.gov/pubmed/30250462 http://dx.doi.org/10.3389/fmicb.2018.02160 |
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