TY  - JOUR
A1  - Wheeler, Nicole E.
A1  - Barquist, Lars
A1  - Kingsley, Robert A.
A1  - Gardner, Paul P.
T1  - A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes
T2  - Bioinformatics
N2  - Motivation: 
Next generation sequencing technologies have provided us with a wealth of information on genetic variation, but predi cting the functional significance of this variation is a difficult task. While many comparative genomics studies have focused on gene flux and large scale changes, relatively little attention has been paid to quantifying the effects of single nucleotide polymorphisms and indels on protein function, particularly in bacterial genomics.

Results: 
We present a hidden Markov model based approach we call delta-bitscore (DBS) for identifying orthologous proteins that have diverged at the amino acid sequence level in a way that is likely to impact biological function. We benchmark this approach with several widely used datasets and apply it to a proof-of-concept study of orthologous proteomes in an investigation of host adaptation in Salmonella enterica. We highlight the value of the method in identifying functional divergence of genes, and suggest that this tool may be a better approach than the commonly used dN/dS metric for identifying functionally significant genetic changes occurring in recently diverged organisms.
KW  - Host adaptation
KW  - Salmonella-enteritidis
KW  - Sequence identity
KW  - Rapid evolution
KW  - Variants
KW  - Cystic-fibriosis
KW  - Strains
KW  - Pathogenicity
KW  - Typhimurium
KW  - Yersinia
Y1  - 2016
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/18650
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-186502
VL  - 32
IS  - 23
ER  -