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Bioinformatic prediction of arthropod/nematode-like peptides in non-arthropod, non-nematode members of the Ecdysozoa
General and Comparative Endocrinology (2011)
  • Andrew E. Christie
  • Daniel H. Nolan
  • Zachary A. Garcia
  • Matthew D. McCoole, University of Louisiana at Monroe
  • Sarah M. Harmon
  • Benjamin Congdon-Jones
  • Paul Ohno
  • Niko Hartline
  • Clare Bates Congdon, University of Southern Maine
  • Petra H. Lenz
  • Kevin N. Baer, University of Louisiana at Monroe
Abstract

The Onychophora, Priapulida and Tardigrada, along with the Arthropoda, Nematoda and several other small phyla, form the superphylum Ecdysozoa. Numerous peptidomic studies have been undertaken for both the arthropods and nematodes, resulting in the identification of many peptides from each group. In contrast, little is known about the peptides used as paracrines/hormones by species from the other ecdysozoan taxa. Here, transcriptome mining and bioinformatic peptide prediction were used to identify peptides in members of the Onychophora, Priapulida and Tardigrada, the only non-arthropod, non-nematode members of the Ecdysozoa for which there are publicly accessible expressed sequence tags (ESTs).

Keywords
  • Onychophora,
  • Priapulida,
  • Tardigrada,
  • Hypsibius dujardini,
  • Milnesium tardigradum,
  • Peripatopsis sedgwick
Disciplines
Publication Date
February, 2011
Publisher Statement
Copyright © 2010 Elsevier Inc. All rights reserved.
Citation Information
Andrew E. Christie, Daniel H. Nolan, Zachary A. Garcia, Matthew D. McCoole, et al.. "Bioinformatic prediction of arthropod/nematode-like peptides in non-arthropod, non-nematode members of the Ecdysozoa" General and Comparative Endocrinology Vol. 170 Iss. 3 (2011)
Available at: http://works.bepress.com/clare_congdon/2/