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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1989-06-30
    Description: Theories for the evolution of brain weight in mammals suggest that closely related species have diverged largely as a result of selection for differences in body weight, but that differences among more distantly related species have arisen due to greater net directional selection on brain weight. This pattern of changing selection causes brain weight to evolve more slowly than body weight among closely related species, such as those in the same genus, than among more distantly related species, such as those from different families or orders; a phenomenon known as the "taxon-level effect." Thus, brain weight differs more for a given difference in body weight as the species compared are more distantly related. An alternative explanation for the taxon-level effect is proposed. Distantly related species are more likely to inhabit different ecological conditions than are more closely related species. Where the taxon-level effect occurs, brain weight appears to have evolved in response to the demands of these different ecological conditions. As a consequence, brain weight differs more among distantly related species, for any given difference in body weight, than among closely related species. This effect, rather than a progressive pattern of changing selection pressures, may account for the taxon-level effect in mammals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pagel, M D -- Harvey, P H -- New York, N.Y. -- Science. 1989 Jun 30;244(4912):1589-93.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Zoology, University of Oxford, United Kingdom.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/2740904" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Artiodactyla/anatomy & histology ; *Biological Evolution ; *Body Weight ; Brain/*anatomy & histology ; Carnivora/anatomy & histology ; Chiroptera/anatomy & histology ; Ecology ; Mammals/*anatomy & histology/classification ; Models, Biological ; Organ Size ; Primates/anatomy & histology ; Regression Analysis ; Rodentia/anatomy & histology ; Selection, Genetic ; Species Specificity ; Statistics as Topic
    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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