Journal article
The evolution of microtubule associated proteins - a reference proteomic perspective
BMC genomics, Vol.23(1), pp.266-266
04/06/2022
DOI: 10.1186/s12864-022-08502-y
PMCID: PMC8985376
PMID: 35387592
Abstract
Microtubule associated proteins (MAPs), defined as proteins that bind microtubules but are not molecular motors or severing enzymes, play a key role in regulating microtubule stability in neurons. Existing studies of the evolutionary relationships between these proteins are limited to genomic data from a small number of species. We therefore used a large collection of publicly available reference-quality eukaryotic proteomes to carry out a phylogenetic analysis of microtubule associated proteins in both vertebrates and invertebrates. Complete or near-complete reference quality proteomes were obtained from Uniprot. Microtubule associated proteins were identified using InterProtScan, aligned using MUSCLE and then phylogenetic trees constructed using the WAG algorithm. We identified 889 proteins with tubulin binding domains, of which 663 were in eukaryotes, including 168 vertebrates and 64 invertebrates. The vertebrate proteins separated into three families, resembling human MAP 2, MAP4 and MAPT, respectively, while invertebrate MAPs clustered separately. We found significant variation in number of microtubule associated proteins and number of microtubule binding domains between taxa, with fish and mollusks having an unexpectedly high number of MAPs and binding domains, respectively. Our findings represent a novel analysis of the evolution of microtubule associated proteins based on publicly available proteomics data sets. We were able to confirm the phylogeny of MAPs identified based on more limited genomic analyses, and in addition, derived several novel insights on the structure and function of MAPs.
Details
- Title: Subtitle
- The evolution of microtubule associated proteins - a reference proteomic perspective
- Creators
- Amy C Gottschalk - University of IowaMarco M Hefti - Department of Pathology, University of Iowa, 25 S Grand Ave, MRC-108A, Iowa City, IA, 52240, USA. marco-hefti@uiowa.edu
- Resource Type
- Journal article
- Publication Details
- BMC genomics, Vol.23(1), pp.266-266
- DOI
- 10.1186/s12864-022-08502-y
- PMID
- 35387592
- PMCID
- PMC8985376
- NLM abbreviation
- BMC Genomics
- ISSN
- 1471-2164
- eISSN
- 1471-2164
- Language
- English
- Date published
- 04/06/2022
- Academic Unit
- Pathology; Iowa Neuroscience Institute
- Record Identifier
- 9984241134702771
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