Cargando…

The footprint of metabolism in the organization of mammalian genomes

BACKGROUND: At present five evolutionary hypotheses have been proposed to explain the great variability of the genomic GC content among and within genomes: the mutational bias, the biased gene conversion, the DNA breakpoints distribution, the thermal stability and the metabolic rate. Several studies...

Descripción completa

Detalles Bibliográficos
Autores principales: Berná, Luisa, Chaurasia, Ankita, Angelini, Claudia, Federico, Concetta, Saccone, Salvatore, D'Onofrio, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384468/
https://www.ncbi.nlm.nih.gov/pubmed/22568857
http://dx.doi.org/10.1186/1471-2164-13-174
_version_ 1782236716451495936
author Berná, Luisa
Chaurasia, Ankita
Angelini, Claudia
Federico, Concetta
Saccone, Salvatore
D'Onofrio, Giuseppe
author_facet Berná, Luisa
Chaurasia, Ankita
Angelini, Claudia
Federico, Concetta
Saccone, Salvatore
D'Onofrio, Giuseppe
author_sort Berná, Luisa
collection PubMed
description BACKGROUND: At present five evolutionary hypotheses have been proposed to explain the great variability of the genomic GC content among and within genomes: the mutational bias, the biased gene conversion, the DNA breakpoints distribution, the thermal stability and the metabolic rate. Several studies carried out on bacteria and teleostean fish pointed towards the critical role played by the environment on the metabolic rate in shaping the base composition of genomes. In mammals the debate is still open, and evidences have been produced in favor of each evolutionary hypothesis. Human genes were assigned to three large functional categories (as well as to the corresponding functional classes) according to the KOG database: (i) information storage and processing, (ii) cellular processes and signaling, and (iii) metabolism. The classification was extended to the organisms so far analyzed performing a reciprocal Blastp and selecting the best reciprocal hit. The base composition was calculated for each sequence of the whole CDS dataset. RESULTS: The GC3 level of the above functional categories was increasing from (i) to (iii). This specific compositional pattern was found, as footprint, in all mammalian genomes, but not in frog and lizard ones. Comparative analysis of human versus both frog and lizard functional categories showed that genes involved in the metabolic processes underwent the highest GC3 increment. Analyzing the KOG functional classes of genes, again a well defined intra-genomic pattern was found in all mammals. Not only genes of metabolic pathways, but also genes involved in chromatin structure and dynamics, transcription, signal transduction mechanisms and cytoskeleton, showed an average GC3 level higher than that of the whole genome. In the case of the human genome, the genes of the aforementioned functional categories showed a high probability to be associated with the chromosomal bands. CONCLUSIONS: In the light of different evolutionary hypotheses proposed so far, and contributing with different potential to the genome compositional heterogeneity of mammalian genomes, the one based on the metabolic rate seems to play not a minor role. Keeping in mind similar results reported in bacteria and in teleosts, the specific compositional patterns observed in mammals highlight metabolic rate as unifying factor that fits over a wide range of living organisms.
format Online
Article
Text
id pubmed-3384468
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-33844682012-06-28 The footprint of metabolism in the organization of mammalian genomes Berná, Luisa Chaurasia, Ankita Angelini, Claudia Federico, Concetta Saccone, Salvatore D'Onofrio, Giuseppe BMC Genomics Research Article BACKGROUND: At present five evolutionary hypotheses have been proposed to explain the great variability of the genomic GC content among and within genomes: the mutational bias, the biased gene conversion, the DNA breakpoints distribution, the thermal stability and the metabolic rate. Several studies carried out on bacteria and teleostean fish pointed towards the critical role played by the environment on the metabolic rate in shaping the base composition of genomes. In mammals the debate is still open, and evidences have been produced in favor of each evolutionary hypothesis. Human genes were assigned to three large functional categories (as well as to the corresponding functional classes) according to the KOG database: (i) information storage and processing, (ii) cellular processes and signaling, and (iii) metabolism. The classification was extended to the organisms so far analyzed performing a reciprocal Blastp and selecting the best reciprocal hit. The base composition was calculated for each sequence of the whole CDS dataset. RESULTS: The GC3 level of the above functional categories was increasing from (i) to (iii). This specific compositional pattern was found, as footprint, in all mammalian genomes, but not in frog and lizard ones. Comparative analysis of human versus both frog and lizard functional categories showed that genes involved in the metabolic processes underwent the highest GC3 increment. Analyzing the KOG functional classes of genes, again a well defined intra-genomic pattern was found in all mammals. Not only genes of metabolic pathways, but also genes involved in chromatin structure and dynamics, transcription, signal transduction mechanisms and cytoskeleton, showed an average GC3 level higher than that of the whole genome. In the case of the human genome, the genes of the aforementioned functional categories showed a high probability to be associated with the chromosomal bands. CONCLUSIONS: In the light of different evolutionary hypotheses proposed so far, and contributing with different potential to the genome compositional heterogeneity of mammalian genomes, the one based on the metabolic rate seems to play not a minor role. Keeping in mind similar results reported in bacteria and in teleosts, the specific compositional patterns observed in mammals highlight metabolic rate as unifying factor that fits over a wide range of living organisms. BioMed Central 2012-05-08 /pmc/articles/PMC3384468/ /pubmed/22568857 http://dx.doi.org/10.1186/1471-2164-13-174 Text en Copyright ©2012 Berná et al; 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
Berná, Luisa
Chaurasia, Ankita
Angelini, Claudia
Federico, Concetta
Saccone, Salvatore
D'Onofrio, Giuseppe
The footprint of metabolism in the organization of mammalian genomes
title The footprint of metabolism in the organization of mammalian genomes
title_full The footprint of metabolism in the organization of mammalian genomes
title_fullStr The footprint of metabolism in the organization of mammalian genomes
title_full_unstemmed The footprint of metabolism in the organization of mammalian genomes
title_short The footprint of metabolism in the organization of mammalian genomes
title_sort footprint of metabolism in the organization of mammalian genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384468/
https://www.ncbi.nlm.nih.gov/pubmed/22568857
http://dx.doi.org/10.1186/1471-2164-13-174
work_keys_str_mv AT bernaluisa thefootprintofmetabolismintheorganizationofmammaliangenomes
AT chaurasiaankita thefootprintofmetabolismintheorganizationofmammaliangenomes
AT angeliniclaudia thefootprintofmetabolismintheorganizationofmammaliangenomes
AT federicoconcetta thefootprintofmetabolismintheorganizationofmammaliangenomes
AT sacconesalvatore thefootprintofmetabolismintheorganizationofmammaliangenomes
AT donofriogiuseppe thefootprintofmetabolismintheorganizationofmammaliangenomes
AT bernaluisa footprintofmetabolismintheorganizationofmammaliangenomes
AT chaurasiaankita footprintofmetabolismintheorganizationofmammaliangenomes
AT angeliniclaudia footprintofmetabolismintheorganizationofmammaliangenomes
AT federicoconcetta footprintofmetabolismintheorganizationofmammaliangenomes
AT sacconesalvatore footprintofmetabolismintheorganizationofmammaliangenomes
AT donofriogiuseppe footprintofmetabolismintheorganizationofmammaliangenomes