Literature DB >> 12054866

Detecting compensatory covariation signals in protein evolution using reconstructed ancestral sequences.

K Fukami-Kobayashi1, D R Schreiber, S A Benner.   

Abstract

When protein sequences divergently evolve under functional constraints, some individual amino acid replacements that reverse the charge (e.g. Lys to Asp) may be compensated by a replacement at a second position that reverses the charge in the opposite direction (e.g. Glu to Arg). When these side-chains are near in space (proximal), such double replacements might be driven by natural selection, if either is selectively disadvantageous, but both together restore fully the ability of the protein to contribute to fitness (are together "neutral"). Accordingly, many have sought to identify pairs of positions in a protein sequence that suffer compensatory replacements, often as a way to identify positions near in space in the folded structure. A "charge compensatory signal" might manifest itself in two ways. First, proximal charge compensatory replacements may occur more frequently than predicted from the product of the probabilities of individual positions suffering charge reversing replacements independently. Conversely, charge compensatory pairs of changes may be observed to occur more frequently in proximal pairs of sites than in the average pair. Normally, charge compensatory covariation is detected by comparing the sequences of extant proteins at the "leaves" of phylogenetic trees. We show here that the charge compensatory signal is more evident when it is sought by examining individual branches in the tree between reconstructed ancestral sequences at nodes in the tree. Here, we find that the signal is especially strong when the positions pairs are in a single secondary structural unit (e.g. alpha helix or beta strand) that brings the side-chains suffering charge compensatory covariation near in space, and may be useful in secondary structure prediction. Also, "node-node" and "node-leaf" compensatory covariation may be useful to identify the better of two equally parsimonious trees, in a way that is independent of the mathematical formalism used to construct the tree itself. Further, compensatory covariation may provide a signal that indicates whether an episode of sequence evolution contains more or less divergence in functional behavior. Compensatory covariation analysis on reconstructed evolutionary trees may become a valuable tool to analyze genome sequences, and use these analyses to extract biomedically useful information from proteome databases. (c) 2002 Elsevier Science Ltd.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12054866     DOI: 10.1016/S0022-2836(02)00239-5

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  24 in total

1.  FamClash: a method for ranking the activity of engineered enzymes.

Authors:  Manish C Saraf; Alexander R Horswill; Stephen J Benkovic; Costas D Maranas
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-23       Impact factor: 11.205

2.  Context dependence and coevolution among amino acid residues in proteins.

Authors:  Zhengyuan O Wang; David D Pollock
Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

3.  Accumulation of amino acid substitutions promotes irreversible structural changes in the hemagglutinin of human influenza AH3 virus during evolution.

Authors:  Katsuhisa Nakajima; Eri Nobusawa; Alexander Nagy; Setsuko Nakajima
Journal:  J Virol       Date:  2005-05       Impact factor: 5.103

4.  Coevolutionary patterns in cytochrome c oxidase subunit I depend on structural and functional context.

Authors:  Zhengyuan O Wang; David D Pollock
Journal:  J Mol Evol       Date:  2007-11       Impact factor: 2.395

5.  A novel method for detecting intramolecular coevolution: adding a further dimension to selective constraints analyses.

Authors:  Mario A Fares; Simon A A Travers
Journal:  Genetics       Date:  2006-03-17       Impact factor: 4.562

Review 6.  Weak selection and protein evolution.

Authors:  Hiroshi Akashi; Naoki Osada; Tomoko Ohta
Journal:  Genetics       Date:  2012-09       Impact factor: 4.562

7.  Differential strengths of positive selection revealed by hitchhiking effects at small physical scales in Drosophila melanogaster.

Authors:  Yuh Chwen G Lee; Charles H Langley; David J Begun
Journal:  Mol Biol Evol       Date:  2013-12-20       Impact factor: 16.240

8.  Conversion and compensatory evolution of the gamma-crystallin genes and identification of a cataractogenic mutation that reverses the sequence of the human CRYGD gene to an ancestral state.

Authors:  Olga V Plotnikova; Fyodor A Kondrashov; Peter K Vlasov; Anastasia P Grigorenko; Evgeny K Ginter; Evgeny I Rogaev
Journal:  Am J Hum Genet       Date:  2007-05-16       Impact factor: 11.025

9.  Structural and functional roles of coevolved sites in proteins.

Authors:  Saikat Chakrabarti; Anna R Panchenko
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

10.  Evolution of proteins and proteomes: a phylogenetics approach.

Authors:  Toni Gabaldón
Journal:  Evol Bioinform Online       Date:  2007-02-24       Impact factor: 1.625

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.