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A database of egg size and shape from more than 6,700 insect species

Samuel H. Church, View ORCID ProfileSeth Donoughe, View ORCID ProfileBruno A. S. de Medeiros, View ORCID ProfileCassandra G. Extavour
doi: https://doi.org/10.1101/471953
Samuel H. Church
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States
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  • For correspondence: church@g.harvard.edu
Seth Donoughe
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States
2Department of Cell and Molecular Biology, University of Chicago, Chicago, IL 60637, United States
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Bruno A. S. de Medeiros
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States
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Cassandra G. Extavour
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, United States
3Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, United States
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1 Abstract

Offspring size is a fundamental trait in disparate biological fields of study. This trait can be measured as the size of plant seeds, animal eggs, or live young, and it influences ecological interactions, organism fitness, maternal investment, and embryonic development. Although multiple evolutionary processes have been predicted to drive the evolution of offspring size, the phylogenetic distribution of this trait remains poorly understood, due to the difficulty of reliably collecting and comparing offspring size data from many species. Here we present a database of 10,449 morphological descriptions of insect eggs, with records for 6,706 unique insect species and representatives from every extant hexapod order. The dataset includes eggs whose volumes span more than eight orders of magnitude. We created this database by partially automating the extraction of egg traits from the primary literature. In the process, we overcame challenges associated with large-scale phenotyping by designing and employing custom bioinformatic solutions to common problems. We matched the taxa in this database to the currently accepted scientific names in taxonomic and genetic databases, which will facilitate the use of this data for testing pressing evolutionary hypotheses in offspring size evolution.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted November 19, 2018.
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A database of egg size and shape from more than 6,700 insect species
Samuel H. Church, Seth Donoughe, Bruno A. S. de Medeiros, Cassandra G. Extavour
bioRxiv 471953; doi: https://doi.org/10.1101/471953
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A database of egg size and shape from more than 6,700 insect species
Samuel H. Church, Seth Donoughe, Bruno A. S. de Medeiros, Cassandra G. Extavour
bioRxiv 471953; doi: https://doi.org/10.1101/471953

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