Tyrosine phosphorylation of myosin heavy chain during skeletal muscle differentiation: an integrated bioinformatics approach

Harney DF, Butler RK & Edwards RJ (2005): Tyrosine phosphorylation of myosin heavy chain during skeletal muscle differentiation: an integrated bioinformatics approach. Theor. Biol. Med. Model. 2(1):12.

Abstract

BACKGROUND: Previously it has been shown that insulin-mediated tyrosine phosphorylation of myosin heavy chain is concomitant with enhanced association of C-terminal SRC kinase during skeletal muscle differentiation. We sought to identify putative site(s) for this phosphorylation event.

RESULTS: A combined bioinformatics approach of motif prediction and evolutionary and structural analyses identified tyrosines163 and 1856 of the skeletal muscle heavy chain as the leading candidate for the sites of insulin-mediated tyrosine phosphorylation.

CONCLUSION: Our work is suggestive that tyrosine phosphorylation of myosin heavy chain, whether in skeletal muscle or in platelets, is a significant event that may initiate cytoskeletal reorganization of muscle cells and platelets. Our studies provide a good starting point for further functional analysis of MHC phosphor-signalling events within different cells.

PMID: 15790426

GASP: Gapped Ancestral Sequence Prediction for proteins

Edwards RJ & Shields DC (2004): GASP: Gapped Ancestral Sequence Prediction for proteins. BMC Bioinformatics 5(1):123.

Abstract

BACKGROUND: The prediction of ancestral protein sequences from multiple sequence alignments is useful for many bioinformatics analyses. Predicting ancestral sequences is not a simple procedure and relies on accurate alignments and phylogenies. Several algorithms exist based on Maximum Parsimony or Maximum Likelihood methods but many current implementations are unable to process residues with gaps, which may represent insertion/deletion (indel) events or sequence fragments.

RESULTS: Here we present a new algorithm, GASP (Gapped Ancestral Sequence Prediction), for predicting ancestral sequences from phylogenetic trees and the corresponding multiple sequence alignments. Alignments may be of any size and contain gaps. GASP first assigns the positions of gaps in the phylogeny before using a likelihood-based approach centred on amino acid substitution matrices to assign ancestral amino acids. Important outgroup information is used by first working down from the tips of the tree to the root, using descendant data only to assign probabilities, and then working back up from the root to the tips using descendant and outgroup data to make predictions. GASP was tested on a number of simulated datasets based on real phylogenies. Prediction accuracy for ungapped data was similar to three alternative algorithms tested, with GASP performing better in some cases and worse in others. Adding simple insertions and deletions to the simulated data did not have a detrimental effect on GASP accuracy.

CONCLUSIONS: GASP (Gapped Ancestral Sequence Prediction) will predict ancestral sequences from multiple protein alignments of any size. Although not as accurate in all cases as some of the more sophisticated maximum likelihood approaches, it can process a wide range of input phylogenies and will predict ancestral sequences for gapped and ungapped residues alike.

PMID: 15350199

Transiently beneficial insertions could maintain mobile DNA sequences in variable environments

Edwards RJ & Brookfield JFY (2003): Transiently beneficial insertions could maintain mobile DNA sequences in variable environments. Mol Biol Evol. 20(1):30-37.

Abstract

The maintenance of mobile DNA sequences in clonal organisms has been seen as a paradox. If selfish mobile sequences spread through genomes only by overreplication in transposition, then sexuality is necessary for their spread through populations. The persistence of bacterial transposable elements without obvious dominant selectable markers has previously been explained by horizontal transfer. However, advantageous insertions of mobile DNAs are known in bacteria. Here we model maintenance of an otherwise selfish mobile DNA element in a clonal species in which selection for null mutations occurs during one of two temporally alternating environments. Large areas of parameter space permit maintenance of mobile DNAs where, without selection, they would have gone extinct. Horizontal transfer diminishes, rather than enhances, mean copy number. In finite populations, effective population sizes are greatly reduced by selective sweeps, and mean copy number can be increased as the reduced variance in copy number results in reduced selection.

PubMed: 12519903

A simple method for genome-wide screening for advantageous insertions of mobile DNAs in Escherichia coli

Edwards RJ, Sockett RE & Brookfield JFY (2002): A simple method for genome-wide screening for advantageous insertions of mobile DNAs in Escherichia coli. Curr Biol. 12(10):863-867.

Abstract

Laboratory evolution in Escherichia coli has revealed that fitness typically increases in experimental populations. These changes are sometimes associated with changes in insertion sequence positions, some of which may themselves cause advantageous phenotypes. We have a novel and general method for identifying genes in Escherichia coli, whose knockout by mobile DNA insertions is beneficial in experimental evolution. Insertion sites in favored clones can be identified by reference to genomic information. We have implemented the method using modified Tn10 transposons bearing kanamycin and chloramphenicol resistance cassettes. Results are consistent across replicated experiments, demonstrating that the insertions are themselves creating selective advantages, rather than hitch-hiking with favorable base substitutions. The successful clones have subsequently been confirmed to have a fitness advantage relative to the progenitor strain. In experiments in shaking culture, we find that advantageous insertions usually fall in operons required in the pathways creating flagella. The method allows a rapid genome-wide screening for advantageous insertions in arbitrary environmental conditions. It allows investigation of the extent to which transient mutations generating environment-dependent selective advantages may help to explain the persistence of mobile DNAs in primarily clonal organisms, such as E. coli.

PubMed: 12015126