Literature DB >> 12930973

Isochores and tissue-specificity.

Alexander E Vinogradov1.   

Abstract

The housekeeping (ubiquitously expressed) genes in the mammal genome were shown here to be on average slightly GC-richer than tissue-specific genes. Both housekeeping and tissue-specific genes occupy similar ranges of GC content, but the former tend to concentrate in the upper part of the range. In the human genome, tissue-specific genes show two maxima, GC-poor and GC-rich. The strictly tissue-specific human genes tend to concentrate in the GC-poor region; their distribution is left-skewed and thus reciprocal to the distribution of housekeeping genes. The intermediately tissue-specific genes show an intermediate GC content and the right-skewed distribution. Both in the human and mouse, genes specific for some tissues (e.g., parts of the central nervous system) have a higher average GC content than housekeeping genes. Since they are not transcribed in the germ line (in contrast to housekeeping genes), and therefore have a lower probability of inheritable gene conversion, this finding contradicts the biased gene conversion (BGC) explanation for elevated GC content in the heavy isochores of mammal genome. Genes specific for germ-line tissues (ovary, testes) show a low average GC content, which is also in contradiction to the BGC explanation. Both for the total data set and for the most part of tissues taken separately, a weak positive correlation was found between gene GC content and expression level. The fraction of ubiquitously expressed genes is nearly 1.5-fold higher in the mouse than in the human. This suggests that mouse tissues are comparatively less differentiated (on the molecular level), which can be related to a less pronounced isochoric structure of the mouse genome. In each separate tissue (in both species), tissue-specific genes do not form a clear-cut frequency peak (in contrast to housekeeping genes), but constitute a continuum with a gradually increasing degree of tissue-specificity, which probably reflects the path of cell differentiation and/or an independent use of the same protein in several unrelated tissues.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12930973      PMCID: PMC212799          DOI: 10.1093/nar/gkg699

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  67 in total

1.  Isochores result from mutation not selection.

Authors:  M P Francino; H Ochman
Journal:  Nature       Date:  1999-07-01       Impact factor: 49.962

Review 2.  Evolutionary genomics of vertebrates and its implications.

Authors:  G D'Onofrio; K Jabbari; H Musto; F Alvarez-Valin; S Cruveiller; G Bernardi
Journal:  Ann N Y Acad Sci       Date:  1999-05-18       Impact factor: 5.691

3.  Evidence of selection on silent site base composition in mammals: potential implications for the evolution of isochores and junk DNA.

Authors:  A Eyre-Walker
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

Review 4.  The human genome: organization and evolutionary history.

Authors:  G Bernardi
Journal:  Annu Rev Genet       Date:  1995       Impact factor: 16.830

5.  Relationships between genomic G+C content, RNA secondary structures, and optimal growth temperature in prokaryotes.

Authors:  N Galtier; J R Lobry
Journal:  J Mol Evol       Date:  1997-06       Impact factor: 2.395

Review 6.  Endogenous DNA damage as related to cancer and aging.

Authors:  B N Ames
Journal:  Mutat Res       Date:  1989-09       Impact factor: 2.433

7.  Mutation rates differ among regions of the mammalian genome.

Authors:  K H Wolfe; P M Sharp; W H Li
Journal:  Nature       Date:  1989-01-19       Impact factor: 49.962

8.  Compositional compartmentalization and gene composition in the genome of vertebrates.

Authors:  D Mouchiroud; G Fichant; G Bernardi
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

Review 9.  The isochore organization of the human genome and its evolutionary history--a review.

Authors:  G Bernardi
Journal:  Gene       Date:  1993-12-15       Impact factor: 3.688

10.  Oxidative damage to DNA: relation to species metabolic rate and life span.

Authors:  R Adelman; R L Saul; B N Ames
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

View more
  55 in total

1.  Optimization of hCFTR lung expression in mice using DNA nanoparticles.

Authors:  Linas Padegimas; Tomasz H Kowalczyk; Sam Adams; Chris R Gedeon; Sharon M Oette; Karla Dines; Susannah L Hyatt; Ozge Sesenoglu-Laird; Olena Tyr; Robert C Moen; Mark J Cooper
Journal:  Mol Ther       Date:  2011-09-27       Impact factor: 11.454

2.  Relationships among stop codon usage bias, its context, isochores, and gene expression level in various eukaryotes.

Authors:  Jingchun Sun; Ming Chen; Jinlin Xu; Jianhua Luo
Journal:  J Mol Evol       Date:  2005-09-13       Impact factor: 2.395

3.  A relative-entropy algorithm for genomic fingerprinting captures host-phage similarities.

Authors:  Harlan Robins; Michael Krasnitz; Hagar Barak; Arnold J Levine
Journal:  J Bacteriol       Date:  2005-12       Impact factor: 3.490

4.  Isochores exhibit evidence of genes interacting with the large-scale genomic environment.

Authors:  William H Press; Harlan Robins
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

5.  Genome size and metabolic intensity in tetrapods: a tale of two lines.

Authors:  Alexander E Vinogradov; Olga V Anatskaya
Journal:  Proc Biol Sci       Date:  2006-01-07       Impact factor: 5.349

6.  Phylogenomic analysis of the emergence of GC-rich transcription elements.

Authors:  Patricia Khuu; Maurice Sandor; Jennifer DeYoung; P Shing Ho
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-09       Impact factor: 11.205

7.  Alu and L1 retroelements are correlated with the tissue extent and peak rate of gene expression, respectively.

Authors:  Tae-Min Kim; Yu-Chae Jung; Mun-Gan Rhyu
Journal:  J Korean Med Sci       Date:  2004-12       Impact factor: 2.153

8.  GC3 biology in corn, rice, sorghum and other grasses.

Authors:  Tatiana V Tatarinova; Nickolai N Alexandrov; John B Bouck; Kenneth A Feldmann
Journal:  BMC Genomics       Date:  2010-05-16       Impact factor: 3.969

9.  Predicting gene expression level from relative codon usage bias: an application to Escherichia coli genome.

Authors:  Uttam Roymondal; Shibsankar Das; Satyabrata Sahoo
Journal:  DNA Res       Date:  2009-01-08       Impact factor: 4.458

10.  Differential selective constraints shaping codon usage pattern of housekeeping and tissue-specific homologous genes of rice and arabidopsis.

Authors:  Pamela Mukhopadhyay; Surajit Basak; Tapash Chandra Ghosh
Journal:  DNA Res       Date:  2008-09-30       Impact factor: 4.458

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.