ArticleBMC genomics2010
Gene duplications in prokaryotes can be associated with environmental adaptation.
Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed, 100 citations in OpenAlex.
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- Comparative genomics analysis of three conserved plasmid families in the Western Hemisphere soft tick-borne relapsing fever borreliae provides insight into variation in genome structure and antigenic variation systems.bioRxiv : the preprint server for biology · 2023Article
- Acquisition of new function through gene duplication in the metallocarboxypeptidase family.Scientific reports · 2023Article
- Genome-Guided Investigation Provides New Insights into Secondary Metabolites ofPolish journal of microbiology · 2022Article
- Genomic Traits Associated with Virulence and Antimicrobial Resistance of Invasive Group B Streptococcus Isolates with Reduced Penicillin Susceptibility from Elderly Adults.Microbiology spectrum · 2022Article
- Draft Genomes of Six Philippine Erwinia mallotivora Isolates: Comparative Genomics and Genome-Wide Analysis of Candidate Secreted Proteins.Current microbiology · 2022Article
- Carbon dioxide equivalent emissions from corn silage fermentation.Frontiers in microbiology · 2022Article
- A pseudokinase version of the histidine kinase ChrS promotes high heme tolerance ofFrontiers in microbiology · 2022Article
- Biomineralization in Cave Bacteria-Popcorn and Soda Straw Crystal Formations, Morphologies, and Potential Metabolic Pathways.Frontiers in microbiology · 2022Article
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Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGene duplication is a normal evolutionary process. If there is no selective advantage in keeping the duplicated gene, it is usually reduced to a pseudogene and disappears from the genome. However, some paralogs are retained. These gene products are likely to be beneficial to the organism, e.g. in adaptation to new environmental conditions. The aim of our analysis is to investigate the properties of paralog-forming genes in prokaryotes, and to analyse the role of these retained paralogs by relating gene properties to life style of the corresponding prokaryotes.
resultsParalogs were identified in a number of prokaryotes, and these paralogs were compared to singletons of persistent orthologs based on functional classification. This showed that the paralogs were associated with for example energy production, cell motility, ion transport, and defence mechanisms. A statistical overrepresentation analysis of gene and protein annotations was based on paralogs of the 200 prokaryotes with the highest fraction of paralog-forming genes. Biclustering of overrepresented gene ontology terms versus species was used to identify clusters of properties associated with clusters of species. The clusters were classified using similarity scores on properties and species to identify interesting clusters, and a subset of clusters were analysed by comparison to literature data. This analysis showed that paralogs often are associated with properties that are important for survival and proliferation of the specific organisms. This includes processes like ion transport, locomotion, chemotaxis and photosynthesis. However, the analysis also showed that the gene ontology terms sometimes were too general, imprecise or even misleading for automatic analysis.
conclusionsProperties described by gene ontology terms identified in the overrepresentation analysis are often consistent with individual prokaryote lifestyles and are likely to give a competitive advantage to the organism. Paralogs and singletons dominate different categories of functional classification, where paralogs in particular seem to be associated with processes involving interaction with the environment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.