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Gene co-citation networks associated with worker sterility in honey bees
BACKGROUND: The evolution of reproductive self-sacrifice is well understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030028/ https://www.ncbi.nlm.nih.gov/pubmed/24669853 http://dx.doi.org/10.1186/1752-0509-8-38 |
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author | Mullen, Emma Kate Daley, Mark Backx, Alanna Gabrielle Thompson, Graham James |
author_facet | Mullen, Emma Kate Daley, Mark Backx, Alanna Gabrielle Thompson, Graham James |
author_sort | Mullen, Emma Kate |
collection | PubMed |
description | BACKGROUND: The evolution of reproductive self-sacrifice is well understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifera has yielded hundreds of genes associated in their expression with differences in reproductive status of females, including genes directly associated with sterility, yet there has not been an attempt to link these candidates into functional networks that explain how workers regulate sterility in the presence of queen pheromone. In this study we use available microarray data and a co-citation analysis to describe what gene interactions might regulate a worker’s response to ovary suppressing queen pheromone. RESULTS: We reconstructed a total of nine gene networks that vary in size and gene composition, but that are significantly enriched for genes of reproductive function. The networks identify, for the first time, which candidate microarray genes are of functional importance, as evidenced by their degree of connectivity to other genes within each of the inferred networks. Our study identifies single genes of interest related to oogenesis, including eggless, and further implicates pathways related to insulin, ecdysteroid, and dopamine signaling as potentially important to reproductive decision making in honey bees. CONCLUSIONS: The networks derived here appear to be variable in gene composition, hub gene identity, and the overall interactions they describe. One interpretation is that workers use different networks to control personal reproduction via ovary activation, perhaps as a function of age or environmental circumstance. Alternatively, the multiple networks inferred here may represent segments of the larger, single network that remains unknown in its entirety. The networks generated here are provisional but do offer a new multi-gene framework for understanding how honey bees regulate personal reproduction within their highly social breeding system. |
format | Online Article Text |
id | pubmed-4030028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40300282014-05-23 Gene co-citation networks associated with worker sterility in honey bees Mullen, Emma Kate Daley, Mark Backx, Alanna Gabrielle Thompson, Graham James BMC Syst Biol Research Article BACKGROUND: The evolution of reproductive self-sacrifice is well understood from kin theory, yet our understanding of how actual genes influence the expression of reproductive altruism is only beginning to take shape. As a model in the molecular study of social behaviour, the honey bee Apis mellifera has yielded hundreds of genes associated in their expression with differences in reproductive status of females, including genes directly associated with sterility, yet there has not been an attempt to link these candidates into functional networks that explain how workers regulate sterility in the presence of queen pheromone. In this study we use available microarray data and a co-citation analysis to describe what gene interactions might regulate a worker’s response to ovary suppressing queen pheromone. RESULTS: We reconstructed a total of nine gene networks that vary in size and gene composition, but that are significantly enriched for genes of reproductive function. The networks identify, for the first time, which candidate microarray genes are of functional importance, as evidenced by their degree of connectivity to other genes within each of the inferred networks. Our study identifies single genes of interest related to oogenesis, including eggless, and further implicates pathways related to insulin, ecdysteroid, and dopamine signaling as potentially important to reproductive decision making in honey bees. CONCLUSIONS: The networks derived here appear to be variable in gene composition, hub gene identity, and the overall interactions they describe. One interpretation is that workers use different networks to control personal reproduction via ovary activation, perhaps as a function of age or environmental circumstance. Alternatively, the multiple networks inferred here may represent segments of the larger, single network that remains unknown in its entirety. The networks generated here are provisional but do offer a new multi-gene framework for understanding how honey bees regulate personal reproduction within their highly social breeding system. BioMed Central 2014-03-26 /pmc/articles/PMC4030028/ /pubmed/24669853 http://dx.doi.org/10.1186/1752-0509-8-38 Text en Copyright © 2014 Mullen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mullen, Emma Kate Daley, Mark Backx, Alanna Gabrielle Thompson, Graham James Gene co-citation networks associated with worker sterility in honey bees |
title | Gene co-citation networks associated with worker sterility in honey bees |
title_full | Gene co-citation networks associated with worker sterility in honey bees |
title_fullStr | Gene co-citation networks associated with worker sterility in honey bees |
title_full_unstemmed | Gene co-citation networks associated with worker sterility in honey bees |
title_short | Gene co-citation networks associated with worker sterility in honey bees |
title_sort | gene co-citation networks associated with worker sterility in honey bees |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030028/ https://www.ncbi.nlm.nih.gov/pubmed/24669853 http://dx.doi.org/10.1186/1752-0509-8-38 |
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