Characterization of insulin-like peptides (ILPs) in the sea urchin Strongylocentrotus purpuratus Insights on the evolution of the insulin family.pdf.pdf

General parative Endocrinology 205 (2014) 68–79
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General parative Endocrinology
journal homepage: ate/ygcen
Characterization of insulin-like peptides (ILPs) in the sea urchin
Strongylocentrotus purpuratus: Insights on the evolution of the insulin
family
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Margherita Perillo, Maria Ina Arnone
Cellular and Developmental Biology, Stazione Zoologica Anton Dohrn, Napoli, Italy
article info abstract
Article history: The evolutionary history of the insulin-like peptides (ILPs), members of the insulin family, is still a matter
Available online 24 June 2014 of debate. Although ILPs structure and expression have been described in different metazoans, little is
known about these molecules in non-chordate deuterostomes, such as the echinoderms. In order to fill
Keywords: this gap in the current literature, we have characterized two members of the insulin family found in
Echinoderm the sea urchin Strongylocentrotus purpuratus genome (SpIgf1 and SpIgf2 that, after our analysis, we suggest
Sea urchin to rename SpILP1 and SpILP2, respectively) together with their putative receptor (SpInsr). We found that
Insulin-like peptide
SpILP1 gene structure is more similar to the cephalochordate amphioxus ILP, while the SpILP2 gene shows
Food response
pletely anization. In addition, we have revealed that SpILP1 and SpILP2 transcripts are
Strongylocentrotus purpuratus
expressed in partments during embryo/larva development and that the SpILP1 protein
mature form differs in the egg and the larva, suggesting different biological roles. Finally, we have
analyzed SpILP1 transcript and protein expression in response to different feeding regimes through
real-time quantitative PCR, Western blot and immunohistochemistry methodologies, and found that
its expression and localization are feeding-dependent. We discuss our findings in parative evolu-
tionary perspective including data available in other animal models and provide