Individual Variation in Pheromone Response Correlates with Reproductive Traits and Brain Gene Expression in Worker Honey Bees
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{"title"=>"Individual variation in pheromone response correlates with reproductive traits and brain gene expression in worker honey bees", "type"=>"journal", "authors"=>[{"first_name"=>"Sarah D.", "last_name"=>"Kocher", "scopus_author_id"=>"24341278900"}, {"first_name"=>"Julien F.", "last_name"=>"Ayroles", "scopus_author_id"=>"14049977200"}, {"first_name"=>"Eric A.", "last_name"=>"Stone", "scopus_author_id"=>"35265221900"}, {"first_name"=>"Christina M.", "last_name"=>"Grozinger", "scopus_author_id"=>"6601928819"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-77949349089", "sgr"=>"77949349089", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0009116", "pmid"=>"20161742", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pui"=>"358448305"}, "id"=>"eb7ea778-75d6-34f4-b14b-59506da46b10", "abstract"=>"BACKGROUND: Variation in individual behavior within social groups can affect the fitness of the group as well as the individual, and can be caused by a combination of genetic and environmental factors. However, the molecular factors associated with individual variation in social behavior remain relatively unexplored. We used honey bees (Apis mellifera) as a model to examine differences in socially-regulated behavior among individual workers, and used transcriptional profiling to determine if specific gene expression patterns are associated with these individual differences. In honey bees, the reproductive queen produces a pheromonal signal that regulates many aspects of worker behavior and physiology and maintains colony organization.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: Here, we demonstrate that there is substantial natural variation in individual worker attraction to queen pheromone (QMP). Furthermore, worker attraction is negatively correlated with ovariole number-a trait associated with reproductive potential in workers. We identified transcriptional differences in the adult brain associated with individual worker attraction to QMP, and identified hundreds of transcripts that are organized into statistically-correlated gene networks and associated with this response.\\n\\nCONCLUSIONS/SIGNIFICANCE: Our studies demonstrate that there is substantial variation in worker attraction to QMP among individuals, and that this variation is linked with specific differences in physiology and brain gene expression patterns. This variation in individual response thresholds may reveal underlying variation in queen-worker reproductive conflict, and may mediate colony function and productivity by creating variation in individual task performance.", "link"=>"http://www.mendeley.com/research/individual-variation-pheromone-response-correlates-reproductive-traits-brain-gene-expression-worker", "reader_count"=>58, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>14, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>1, "Student > Bachelor"=>5, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Librarian"=>1, "Researcher"=>14, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>1, "Student > Bachelor"=>5, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Environmental Science"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>48, "Medicine and Dentistry"=>1, "Chemistry"=>1, "Social Sciences"=>2, "Earth and Planetary Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>48}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>2}}, "reader_count_by_country"=>{"Netherlands"=>1, "United States"=>1, "Brazil"=>1, "Poland"=>1, "France"=>1, "Germany"=>2, "Croatia"=>1}, "group_count"=>1}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/863449"], "description"=>"<p>Principal component analysis indicates that the primary variance in the dataset is associated with variation in expression among genes, and accounts for 72% of the observed variance (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009116#pone-0009116-g003\" target=\"_blank\">Figure 3</a>, PC1). Furthermore, a large proportion of the variance in transcript abundance is associated with colony-level behavioral differences (PC2, 13.5%) and differences in individual pheromone response (PC3, 8.8%). The final principal component appears to be associated with the interaction between individual and colony-level behaviors, and represents 5.5% of the observed transcriptional variation.</p>", "links"=>[], "tags"=>["patterns", "colony-level"], "article_id"=>533909, "categories"=>["Evolutionary Biology", "Genetics", "Infectious Diseases", "Ecology"], "users"=>["Sarah D. Kocher", "Julien F. Ayroles", "Eric A. Stone", "Christina M. Grozinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009116.g003", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Brain_gene_expression_patterns_associated_with_individual_and_colony_level_differences_/533909", "title"=>"Brain gene expression patterns associated with individual and colony-level differences.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-02-09 01:05:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/863508"], "description"=>"<p>Gene networks were constructed based on a gene-gene correlation matrix. The colors on the off-diagonal represent the average cross-module absolute correlations. GO analysis identified unique biological or molecular functions for many of these gene networks (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0009116#pone.0009116.s004\" target=\"_blank\">Table S3</a>). <b>A</b>. From the 960 genes associated with retinue response, 12 genetic modules were identified using MMC with an average |r| = 0.37. <b>B</b>. Retinue response module 1 is a statistically-predicted gene network associated with retinue response that contains an overrepresentation of genes involved in axonogenesis. Each node depicts one of the transcripts associated with module 1, and each line represents a statistical correlation between the connected transcripts.</p>", "links"=>[], "tags"=>["networks", "retinue"], "article_id"=>533964, "categories"=>["Evolutionary Biology", "Genetics", "Infectious Diseases", "Ecology"], "users"=>["Sarah D. Kocher", "Julien F. Ayroles", "Eric A. Stone", "Christina M. Grozinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009116.g004", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Gene_networks_associated_with_retinue_response_/533964", "title"=>"Gene networks associated with retinue response.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-02-09 01:06:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/863336"], "description"=>"<p><b>A</b>. 9 SDI colonies were screened for retinue response. There were strong differences among colonies in mean retinue response frequency (p<0.0001). There was a significant effect of day on colony response (p = 0.003), but no significant effect of the time of the screen (p = 0.09), cage (p = 0.14), or any significant colony by day (p = 0.10) or colony by screen (p = 0.42) interaction. <b>B</b>. Based on the results of the previous screens, two <i>A.m. carnica</i> colonies were selected for the subsequent molecular and physiological analyses. The previous retinue bioassay was modified to measure individual variation in response to QMP. There were significant individual differences in retinue response frequency among individuals in both colonies (p<0.001).</p>", "links"=>[], "tags"=>["varies", "colonies", "individuals"], "article_id"=>533787, "categories"=>["Evolutionary Biology", "Genetics", "Infectious Diseases", "Ecology"], "users"=>["Sarah D. Kocher", "Julien F. Ayroles", "Eric A. Stone", "Christina M. Grozinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009116.g001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Retinue_response_varies_among_colonies_and_among_individuals_within_a_colony_/533787", "title"=>"Retinue response varies among colonies and among individuals within a colony.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-02-09 01:03:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/428803", "https://ndownloader.figshare.com/files/428839", "https://ndownloader.figshare.com/files/428987", "https://ndownloader.figshare.com/files/429160", "https://ndownloader.figshare.com/files/429215", "https://ndownloader.figshare.com/files/429380", "https://ndownloader.figshare.com/files/429420", "https://ndownloader.figshare.com/files/429590"], "description"=>"<div><h3>Background</h3><p>Variation in individual behavior within social groups can affect the fitness of the group as well as the individual, and can be caused by a combination of genetic and environmental factors. However, the molecular factors associated with individual variation in social behavior remain relatively unexplored. We used honey bees (<em>Apis mellifera</em>) as a model to examine differences in socially-regulated behavior among individual workers, and used transcriptional profiling to determine if specific gene expression patterns are associated with these individual differences. In honey bees, the reproductive queen produces a pheromonal signal that regulates many aspects of worker behavior and physiology and maintains colony organization.</p><h3>Methodology/Principal Findings</h3><p>Here, we demonstrate that there is substantial natural variation in individual worker attraction to queen pheromone (QMP). Furthermore, worker attraction is negatively correlated with ovariole number—a trait associated with reproductive potential in workers. We identified transcriptional differences in the adult brain associated with individual worker attraction to QMP, and identified hundreds of transcripts that are organized into statistically-correlated gene networks and associated with this response.</p><h3>Conclusions/Significance</h3><p>Our studies demonstrate that there is substantial variation in worker attraction to QMP among individuals, and that this variation is linked with specific differences in physiology and brain gene expression patterns. This variation in individual response thresholds may reveal underlying variation in queen-worker reproductive conflict, and may mediate colony function and productivity by creating variation in individual task performance.</p></div>", "links"=>[], "tags"=>["pheromone", "correlates", "reproductive", "traits", "bees"], "article_id"=>144660, "categories"=>["Evolutionary Biology", "Genetics", "Cancer", "Ecology"], "users"=>["Sarah D. Kocher", "Julien F. Ayroles", "Eric A. Stone", "Christina M. Grozinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0009116.s001", "https://dx.doi.org/10.1371/journal.pone.0009116.s002", "https://dx.doi.org/10.1371/journal.pone.0009116.s004", "https://dx.doi.org/10.1371/journal.pone.0009116.s005", "https://dx.doi.org/10.1371/journal.pone.0009116.s006", "https://dx.doi.org/10.1371/journal.pone.0009116.s007", "https://dx.doi.org/10.1371/journal.pone.0009116.s008", "https://dx.doi.org/10.1371/journal.pone.0009116.s003"], "stats"=>{"downloads"=>7, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Individual_Variation_in_Pheromone_Response_Correlates_with_Reproductive_Traits_and_Brain_Gene_Expression_in_Worker_Honey_Bees/144660", "title"=>"Individual Variation in Pheromone Response Correlates with Reproductive Traits and Brain Gene Expression in Worker Honey Bees", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-02-09 01:17:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/863400"], "description"=>"<p>Ovarioles were dissected and counted from the left, ventral ovary from individual workers from six colonies. A logistic regression demonstrated that there is a strong negative correlation between retinue response and ovariole number (p = 0.0014). There was also a significant colony effect (p<0.0001), but no significant interaction (p = 0.11). A bar graph depicts the average retinue response based on the number of ovarioles comprising the left, ventral ovary.</p>", "links"=>[], "tags"=>["negatively", "correlated", "ovariole"], "article_id"=>533859, "categories"=>["Evolutionary Biology", "Genetics", "Infectious Diseases", "Ecology"], "users"=>["Sarah D. Kocher", "Julien F. Ayroles", "Eric A. Stone", "Christina M. Grozinger"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0009116.g002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Retinue_response_is_negatively_correlated_with_ovariole_number_/533859", "title"=>"Retinue response is negatively correlated with ovariole number.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-02-09 01:04:19"}

PMC Usage Stats | Further Information

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Relative Metric

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