Department of Biology & Biochemistry
alex_jeffries

Senior Lecturer

South 1.54

Email: bssacj@bath.ac.uk


Tel: +44 (0) 1225 386263 

 

Dr Alex Jeffries

Profile

I am interested in the evolution of bacterial genomes and use bioinformatics approaches to investigate this. Three aspects stand out; i) what are the functions of simple sequence repeats? ii) can we refine the detection of horizontal gene transfers through bioinformatics approaches? iii) can we find “missing” genes in bacterial genomes?


i) Simple sequence repeats (SSR) are short tandem repeats of nucleotide ‘words’ that are hypermutable, largely due to their ability to cause slip-strand mispairing by DNA polymerase. Their occurrence in bacterial genomes is usually attributed to their role in phase variation. Otherwise, they are considered deleterious and would be expected to be purged from genomes over time. We have discovered the significant widespread occurrence of SSRs in bacterial genomes in locations that are not consistent with phase variation. Discovering what are the role(s) of these SSR sequences is an ongoing challenge.


ii) Horizontal gene transfer (sometime called lateral gene transfer) is a significant force in the evolution of bacterial genomes. The availability of whole genome sequences has led to the development of a number of bioinformatics techniques for detecting regions that have been horizontally transferred. We are interested in developing more sensitive bioinformatics techniques for detection and also modelling the amelioration of horizontally transferred sequences in order to better understand their molecular evolution.


iii) The availability of whole genome sequences has allowed the identification of genes and prediction of metabolic pathways for specific organisms. Occasionally, metabolic pathways can be reconstructed but one gene appears be “missing” from the genome, but it is clear that this cannot be the case, otherwise the pathway would not function. We are investigating bioinformatics methods for systematically identifying such “missing” genes using non-primary structure based approaches.
 

Publications

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