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  • 1
    Publication Date: 2007-09-29
    Description: The presence of workers that forgo reproduction and care for their siblings is a defining feature of eusociality and a major challenge for evolutionary theory. It has been proposed that worker behavior evolved from maternal care behavior. We explored this idea by studying gene expression in the primitively eusocial wasp Polistes metricus. Because little genomic information existed for this species, we used 454 sequencing to generate 391,157 brain complementary DNA reads, resulting in robust hits to 3017 genes from the honey bee genome, from which we identified and assayed orthologs of 32 honey bee behaviorally related genes. Wasp brain gene expression in workers was more similar to that in foundresses, which show maternal care, than to that in queens and gynes, which do not. Insulin-related genes were among the differentially regulated genes, suggesting that the evolution of eusociality involved major nutritional and reproductive pathways.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Toth, Amy L -- Varala, Kranthi -- Newman, Thomas C -- Miguez, Fernando E -- Hutchison, Stephen K -- Willoughby, David A -- Simons, Jan Fredrik -- Egholm, Michael -- Hunt, James H -- Hudson, Matthew E -- Robinson, Gene E -- New York, N.Y. -- Science. 2007 Oct 19;318(5849):441-4. Epub 2007 Sep 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Entomology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. amytoth@uiuc.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17901299" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bees/genetics ; *Biological Evolution ; Brain/metabolism ; Female ; *Gene Expression ; Gene Expression Regulation ; *Genes, Insect ; Insect Proteins/genetics/physiology ; *Maternal Behavior ; Models, Animal ; Reproduction ; *Social Behavior ; Wasps/*genetics/metabolism/physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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