What is it about?

Comparing the genomes of bacteria associated with different niches or phenotypes can reveal the genetic mechanisms driving key differences in lifestyle and virulence. However, bacteria mutate frequently, and there are often a large amount of mutations that differentiate individual strains. Some of these mutations will have large impacts on phenotype, while others will have little to no measurable impact. DeltaBS provides a method of scanning the protein coding genes of bacteria for mutations that are rarely observed in nature, and are therefore likely to be selected against under most circumstances. We show that this is an effective method for identifying gene degradation associated with niche adaptation.

Featured Image

Why is it important?

Comparative genomics generates a huge amount of data, and deciding what data are important and what aren't is challenging. DeltaBS provides a filtering mechanism for filtering variants down to those that are most likely to impact phenotype. It also allows researchers to pool mutations that occur int he same gene, and weight them by their functional effect, improving our ability to detect parallel evolution on the level of protein function.

Perspectives

DeltaBS has proven an effective tool for enhancing the power of genome-wide association studies, and has identified a number of mutations that have lead to interesting, measurable phenotypes in the lab.

Dr Nicole E Wheeler
Wellcome Sanger Institute

Read the Original

This page is a summary of: A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes, Bioinformatics, August 2016, Oxford University Press (OUP),
DOI: 10.1093/bioinformatics/btw518.
You can read the full text:

Read

Contributors

The following have contributed to this page