ArticleBMC genomics2005
Comparison of theoretical proteomes: identification of COGs with conserved and variable pI within the multimodal pI distribution.
Article in BMC genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 43 citations in OpenAlex.
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- Evolutionary divergence of function and expression of laccase genes in plants.Journal of genetics · 2020Article
- Evolutionary history of dimethylsulfoniopropionate (DMSP) demethylation enzyme DmdA in marine bacteria.PeerJ · 2020Article
- Molecular modeling and3 Biotech · 2018Article
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- Genome-wide identification of multifunctional laccase gene family in cotton (Gossypium spp.); expression and biochemical analysis during fiber development.Scientific reports · 2016Article
- Invasion of Solanum tuberosum L. by Aspergillus terreus: a microscopic and proteomics insight on pathogenicity.BMC research notes · 2014Article
- Secretome weaponries of Cochliobolus lunatus interacting with potato leaf at different temperature regimes reveal a CL[xxxx]LHM - motif.BMC genomics · 2014Article
- Protein quality control acts on folding intermediates to shape the effects of mutations on organismal fitness.Molecular cell · 2013Article
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- Shift in the isoelectric-point of milk proteins as a consequence of adaptive divergence between the milks of mammalian species.Biology direct · 2011Article
- The relationships between the isoelectric point and: length of proteins, taxonomy and ecology of organisms.BMC genomics · 2007Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTheoretical proteome analysis, generated by plotting theoretical isoelectric points (pI) against molecular masses of all proteins encoded by the genome show a multimodal distribution for pI. This multimodal distribution is an effect of allowed combinations of the charged amino acids, and not due to evolutionary causes. The variation in this distribution can be correlated to the organisms ecological niche. Contributions to this variation maybe mapped to individual proteins by studying the variation in pI of orthologs across microorganism genomes.
resultsThe distribution of ortholog pI values showed trimodal distributions for all prokaryotic genomes analyzed, similar to whole proteome plots. Pairwise analysis of pI variation show that a few COGs are conserved within, but most vary between, the acidic and basic regions of the distribution, while molecular mass is more highly conserved. At the level of functional grouping of orthologs, five groups vary significantly from the population of orthologs, which is attributed to either conservation at the level of sequences or a bias for either positively or negatively charged residues contributing to the function. Individual COGs conserved in both the acidic and basic regions of the trimodal distribution are identified, and orthologs that best represent the variation in levels of the acidic and basic regions are listed.
conclusionThe analysis of pI distribution by using orthologs provides a basis for resolution of theoretical proteome comparison at the level of individual proteins. Orthologs identified that significantly vary between the major acidic and basic regions maybe used as representative of the variation of the entire proteome.
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