Bioinformatic prediction of arthropod/nematode-like peptides in non-arthropod, non-nematode members of the Ecdysozoa

Research highlights ► Bioinformatics reveals that several arthropod/nematode peptide families are conserved in other Ecdysozoan phyla. ► The predicted peptides are highly similar to their arthropod and/or nematode counterparts. ► The identified transcripts and predicted peptides provide a foundation...

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Published in:General and comparative endocrinology Vol. 170; no. 3; pp. 480 - 486
Main Authors: Christie, Andrew E, Nolan, Daniel H, Garcia, Zachery A, McCoole, Matthew D, Harmon, Sarah M, Congdon-Jones, Benjamin, Ohno, Paul, Hartline, Niko, Congdon, Clare Bates, Baer, Kevin N, Lenz, Petra H
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-02-2011
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Summary:Research highlights ► Bioinformatics reveals that several arthropod/nematode peptide families are conserved in other Ecdysozoan phyla. ► The predicted peptides are highly similar to their arthropod and/or nematode counterparts. ► The identified transcripts and predicted peptides provide a foundation for future evolutionary and physiological studies in the “minor” ecdysozoan phyla.
Bibliography:http://dx.doi.org/10.1016/j.ygcen.2010.11.002
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ISSN:0016-6480
1095-6840
DOI:10.1016/j.ygcen.2010.11.002