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Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes

BACKGROUND: One of the main issues of molecular evolution is to divulge the principles in dictating the evolutionary rate differences among various gene classes. Immunological genes have received considerable attention in evolutionary biology as candidates for local adaptation and for studying funct...

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Autores principales: Podder, Soumita, Ghosh, Tapash Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3347981/
https://www.ncbi.nlm.nih.gov/pubmed/22276655
http://dx.doi.org/10.1186/1471-2148-12-10
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author Podder, Soumita
Ghosh, Tapash Chandra
author_facet Podder, Soumita
Ghosh, Tapash Chandra
author_sort Podder, Soumita
collection PubMed
description BACKGROUND: One of the main issues of molecular evolution is to divulge the principles in dictating the evolutionary rate differences among various gene classes. Immunological genes have received considerable attention in evolutionary biology as candidates for local adaptation and for studying functionally important polymorphisms. The normal structure and function of immunological genes will be distorted when they experience mutations leading to immunological dysfunctions. RESULTS: Here, we examined the fundamental differences between the genes which on mutation give rise to autoimmune or other immune system related diseases and the immunological genes that do not cause any disease phenotypes. Although the disease genes examined are analogous to non-disease genes in product, expression, function, and pathway affiliation, a statistically significant decrease in evolutionary rate has been found in autoimmune disease genes relative to all other immune related diseases and non-disease genes. Possible ways of accumulation of mutation in the three steps of the central dogma (DNA-mRNA-Protein) have been studied to trace the mutational effects predisposed to disease consequence and acquiring higher selection pressure. Principal Component Analysis and Multivariate Regression Analysis have established the predominant role of single nucleotide polymorphisms in guiding the evolutionary rate of immunological disease and non-disease genes followed by m-RNA abundance, paralogs number, fraction of phosphorylation residue, alternatively spliced exon, protein residue burial and protein disorder. CONCLUSIONS: Our study provides an empirical insight into the etiology of autoimmune disease genes and other immunological diseases. The immediate utility of our study is to help in disease gene identification and may also help in medicinal improvement of immune related disease.
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spelling pubmed-33479812012-05-09 Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes Podder, Soumita Ghosh, Tapash Chandra BMC Evol Biol Research Article BACKGROUND: One of the main issues of molecular evolution is to divulge the principles in dictating the evolutionary rate differences among various gene classes. Immunological genes have received considerable attention in evolutionary biology as candidates for local adaptation and for studying functionally important polymorphisms. The normal structure and function of immunological genes will be distorted when they experience mutations leading to immunological dysfunctions. RESULTS: Here, we examined the fundamental differences between the genes which on mutation give rise to autoimmune or other immune system related diseases and the immunological genes that do not cause any disease phenotypes. Although the disease genes examined are analogous to non-disease genes in product, expression, function, and pathway affiliation, a statistically significant decrease in evolutionary rate has been found in autoimmune disease genes relative to all other immune related diseases and non-disease genes. Possible ways of accumulation of mutation in the three steps of the central dogma (DNA-mRNA-Protein) have been studied to trace the mutational effects predisposed to disease consequence and acquiring higher selection pressure. Principal Component Analysis and Multivariate Regression Analysis have established the predominant role of single nucleotide polymorphisms in guiding the evolutionary rate of immunological disease and non-disease genes followed by m-RNA abundance, paralogs number, fraction of phosphorylation residue, alternatively spliced exon, protein residue burial and protein disorder. CONCLUSIONS: Our study provides an empirical insight into the etiology of autoimmune disease genes and other immunological diseases. The immediate utility of our study is to help in disease gene identification and may also help in medicinal improvement of immune related disease. BioMed Central 2012-01-25 /pmc/articles/PMC3347981/ /pubmed/22276655 http://dx.doi.org/10.1186/1471-2148-12-10 Text en Copyright ©2012 Podder and Ghosh; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Podder, Soumita
Ghosh, Tapash Chandra
Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title_full Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title_fullStr Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title_full_unstemmed Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title_short Evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
title_sort evolutionary dynamics of human autoimmune disease genes and malfunctioned immunological genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3347981/
https://www.ncbi.nlm.nih.gov/pubmed/22276655
http://dx.doi.org/10.1186/1471-2148-12-10
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