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CC BY V4.0, Open Access
Journal article
Whole proteome clustering of 2,307 Proteobacterial genomes reveals conserved proteins and significant annotation issues
Frontiers in microbiology., Vol.10(383)
2019
Handle:
https://hdl.handle.net/2376/17911
Abstract
We clustered 8.76 M protein sequences deduced from 2,307 completely sequenced Proteobacterial genomes resulting in 707,311 clusters of one or more sequences of which 224,442 ranged in size from 2 to 2,894 sequences. To our knowledge this is the first study of this scale. We were surprised to find that no single cluster contained a representative sequence from all the organisms in the study. Given the minimal genome concept, we expected to find a shared set of proteins. To determine why the clusters did not have universal representation we chose four essential proteins, the chaperonin GroEL, DNA dependent RNA polymerase subunits beta and beta′ (RpoB/RpoB′), and DNA polymerase I (PolA), representing fundamental cellular functions, and examined their cluster distribution. We found these proteins to be remarkably conserved with certain caveats. Although the groEL gene was universally conserved in all the organisms in the study, the protein was not represented in all the deduced proteomes. The genes for RpoB and RpoB′ were missing from two genomes and merged in 88, and the sequences were sufficiently divergent that they formed separate clusters for 18 RpoB proteins (seven clusters) and 14 RpoB′ proteins (three clusters). For PolA, 52 organisms lacked an identifiable sequence, and seven sequences were sufficiently divergent that they formed five separate clusters. Interestingly, organisms lacking an identifiable PolA and those with divergent RpoB/RpoB′ were predominantly endosymbionts. Furthermore, we present a range of examples of annotation issues that caused the deduced proteins to be incorrectly represented in the proteome. These annotation issues made our task of determining protein conservation more difficult than expected and also represent a significant obstacle for high-throughput analyses.
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Details
- Title
- Whole proteome clustering of 2,307 Proteobacterial genomes reveals conserved proteins and significant annotation issues
- Creators
- Svetlana Lockwood (Author)Kelly A. Brayton (Author)Jeff A. Daily (Author)Shira L. Broschat (Author)
- Publication Details
- Frontiers in microbiology., Vol.10(383)
- Academic Unit
- Electrical Engineering and Computer Science, School of; Paul G. Allen School for Global Animal Health; Veterinary Microbiology and Pathology, Department of
- Identifiers
- 99900502169301842
- Copyright
- Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
- Language
- English
- Resource Type
- Journal article