Literature DB >> 2420451

Multisequence comparisons in protein coding genes. Search for functional constraints.

M Attimonelli, C Lanave, E Sbisá, G Preparata, C Saccone.   

Abstract

A very powerful method for detecting functional constraints operative in biological macromolecules is presented. This method entails performing a base permanence analysis of protein coding genes at each codon position simultaneously in different species. It calculates the degree of permanence of subregions of the gene by dividing it into segments, c codons long, counting how many sites remain unchanged in each segment among all species compared. By comparing the base permanence among several sequences with the expectations based on a stochastic evolutionary process, gene regions showing different degrees of conservation can be selected. This means that wherever the permanence deviates significantly from the expected value generated by the simulation, the corresponding regions are considered "constrained" or "hypervariable". The constrained regions are of two types: alpha and beta. The alpha regions result from constraints at the amino acid level, whereas the beta regions are those probably involved in "control" processing. The method has been applied to mitochondrial genes coding for subunit 6 of the ATPase and subunit 1 of the cytochrome oxidase in four mammalian species: human, rat, mouse, and cow. In the two mitochondrial genes a few regions that are highly conserved in all codon positions have been identified. Among these regions a sequence, common to both genes, that is complementary to a strongly conserved region of 12S rRNA has been found. This method can also be of great help in studying molecular evolution mechanisms.

Entities:  

Mesh:

Substances:

Year:  1985        PMID: 2420451     DOI: 10.1007/BF02789436

Source DB:  PubMed          Journal:  Cell Biophys        ISSN: 0163-4992


  17 in total

1.  Non-random patterns of nucleotide substitutions and codon strategy in the mammalian mitochondrial genes coding for identified and unidentified reading frames.

Authors:  G Pepe; M Holtrop; G Gadaleta; A M Kroon; P Cantatore; R Gallerani; C De Benedetto; C Quagliariello; E Sbisà; C Saccone
Journal:  Biochem Int       Date:  1983-04

2.  Efficient algorithms for folding and comparing nucleic acid sequences.

Authors:  J P Dumas; J Ninio
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

3.  Nucleotide sequences of small ribosomal RNA and adjacent transfer RNA genes in rat mitochondrial DNA.

Authors:  M Kobayashi; T Seki; K Yaginuma; K Koike
Journal:  Gene       Date:  1981-12       Impact factor: 3.688

4.  An energy model that predicts the correct folding of both the tRNA and the 5S RNA molecules.

Authors:  C Papanicolaou; M Gouy; J Ninio
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

5.  Secondary structure comparisons between small subunit ribosomal RNA molecules from six different species.

Authors:  C Zwieb; C Glotz; R Brimacombe
Journal:  Nucleic Acids Res       Date:  1981-08-11       Impact factor: 16.971

6.  Comparative biosequence metrics.

Authors:  T F Smith; M S Waterman; W M Fitch
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

7.  Sequence and organization of the human mitochondrial genome.

Authors:  S Anderson; A T Bankier; B G Barrell; M H de Bruijn; A R Coulson; J Drouin; I C Eperon; D P Nierlich; B A Roe; F Sanger; P H Schreier; A J Smith; R Staden; I G Young
Journal:  Nature       Date:  1981-04-09       Impact factor: 49.962

8.  Complete sequence of bovine mitochondrial DNA. Conserved features of the mammalian mitochondrial genome.

Authors:  S Anderson; M H de Bruijn; A R Coulson; I C Eperon; F Sanger; I G Young
Journal:  J Mol Biol       Date:  1982-04-25       Impact factor: 5.469

9.  Rapid similarity searches of nucleic acid and protein data banks.

Authors:  W J Wilbur; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1983-02       Impact factor: 11.205

10.  Sequence and gene organization of mouse mitochondrial DNA.

Authors:  M J Bibb; R A Van Etten; C T Wright; M W Walberg; D A Clayton
Journal:  Cell       Date:  1981-10       Impact factor: 41.582

View more
  4 in total

1.  A simple quantitative model of the molecular clock.

Authors:  G Preparata; C Saccone
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

2.  Time and biosequences.

Authors:  C Saccone; C Lanave; G Pesole
Journal:  J Mol Evol       Date:  1993-08       Impact factor: 2.395

3.  The complete nucleotide sequence of the Rattus norvegicus mitochondrial genome: cryptic signals revealed by comparative analysis between vertebrates.

Authors:  G Gadaleta; G Pepe; G De Candia; C Quagliariello; E Sbisà; C Saccone
Journal:  J Mol Evol       Date:  1989-06       Impact factor: 2.395

4.  Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences.

Authors:  Zhang Zhang; Jeffrey P Townsend
Journal:  PLoS Comput Biol       Date:  2009-06-26       Impact factor: 4.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.