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Deconstructing superorganisms and societies to address big questions in biology

Kennedy, P; Baron, G; Qiu, B; Freitak, D; Helantera, H; Hunt, ER; Manfredini, F; ... Sumner, S; + view all (2017) Deconstructing superorganisms and societies to address big questions in biology. Trends in Ecology and Evolution , 32 (11) pp. 861-872. 10.1016/j.tree.2017.08.004. Green open access

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Abstract

Social insect societies are long-standing models for understanding social behaviour and evolution. Unlike other advanced biological societies (such as the multicellular body), the component parts of social insect societies can be easily deconstructed and manipulated. Recent methodological and theoretical innovations have exploited this trait to address an expanded range of biological questions. We illustrate the broadening range of biological insight coming from social insect biology with four examples. These new frontiers promote open-minded, interdisciplinary exploration of one of the richest and most complex of biological phenomena: sociality.

Type: Article
Title: Deconstructing superorganisms and societies to address big questions in biology
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tree.2017.08.004
Publisher version: https://doi.org/10.1016/j.tree.2017.08.004
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: automated monitoring, eusociality, genomics, model organisms, social behaviour, superorganism
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/1572487
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