Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/94991
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Type: Journal article
Title: Complex evolutionary relationships among four classes of modular RNA-binding splicing regulators in eukaryotes: the hnRNP, SR, ELAV-like and CELF proteins
Author: Tang, Y.
Han, S.
Kassahn, K.
Skarshewski, A.
Rothnagel, J.
Smith, R.
Citation: Journal of Molecular Evolution, 2012; 75(5):214-228
Publisher: Springer-Verlag
Issue Date: 2012
ISSN: 0022-2844
1432-1432
Statement of
Responsibility: 
Yue Hang Tang, Siew Ping Han, Karin S. Kassahn, Adam Skarshewski, Joseph A. Rothnagel, Ross Smith
Abstract: Alternative RNA splicing in multicellular organisms is regulated by a large group of proteins of mainly unknown origin. To predict the functions of these proteins, classification of their domains at the sequence and structural level is necessary. We have focused on four groups of splicing regulators, the heterogeneous nuclear ribonucleoprotein (hnRNP), serine–arginine (SR), embryonic lethal, abnormal vision (ELAV)-like, and CUG-BP and ETR-like factor (CELF) proteins, that show increasing diversity among metazoa. Sequence and phylogenetic analyses were used to obtain a broader understanding of their evolutionary relationships. Surprisingly, when we characterised sequence similarities across full-length sequences and conserved domains of ten metazoan species, we found some hnRNPs were more closely related to SR, ELAV-like and CELF proteins than to other hnRNPs. Phylogenetic analyses and the distribution of the RRM domains suggest that these proteins diversified before the last common ancestor of the metazoans studied here through domain acquisition and duplication to create genes of mixed evolutionary origin. We propose that these proteins were derived independently rather than through the expansion of a single protein family. Our results highlight inconsistencies in the current classification system for these regulators, which does not adequately reflect their evolutionary relationships, and suggests that a domain-based classification scheme may have more utility.
Keywords: RNA-binding protein
Splicing regulators
Protein evolution
Protein classification
Rights: © Springer Science+Business Media New York 2012
DOI: 10.1007/s00239-012-9533-0
Grant ID: http://purl.org/au-research/grants/arc/CE0348221
Published version: http://dx.doi.org/10.1007/s00239-012-9533-0
Appears in Collections:Aurora harvest 3
Molecular and Biomedical Science publications

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