scholarly journals Transcriptional Analysis of p30 Major Outer Membrane Protein Genes of Ehrlichia canis in Naturally Infected Ticks and Sequence Analysis of p30-10 of E. canis from Diverse Geographic Regions

2003 ◽  
Vol 41 (2) ◽  
pp. 886-888 ◽  
Author(s):  
S. Felek ◽  
R. Greene ◽  
Y. Rikihisa
2016 ◽  
Vol 113 (38) ◽  
pp. 10690-10695 ◽  
Author(s):  
Zuowei Wu ◽  
Balamurugan Periaswamy ◽  
Orhan Sahin ◽  
Michael Yaeger ◽  
Paul Plummer ◽  
...  

Infections due to clonal expansion of highly virulent bacterial strains are clear and present threats to human and animal health. Association of genetic changes with disease is now a routine, but identification of causative mutations that enable disease remains difficult. Campylobacter jejuni is an important zoonotic pathogen transmitted to humans mainly via the foodborne route. C. jejuni typically colonizes the gut, but a hypervirulent and rapidly expanding clone of C. jejuni recently emerged, which is able to translocate across the intestinal tract, causing systemic infection and abortion in pregnant animals. The genetic basis responsible for this hypervirulence is unknown. Here, we developed a strategy, termed “directed genome evolution,” by using hybridization between abortifacient and nonabortifacient strains followed by selection in an animal disease model and whole-genome sequence analysis. This strategy successfully identified SNPs in porA, encoding the major outer membrane protein, are responsible for the hypervirulence. Defined mutagenesis verified that these mutations were both necessary and sufficient for causing abortion. Furthermore, sequence analysis identified porA as the gene with the top genome-wide signal of adaptive evolution using Fu’s Fs, a population genetic metric for recent population size changes, which is consistent with the recent expansion of clone “sheep abortion.” These results identify a key virulence factor in Campylobacter and a potential target for the control of this zoonotic pathogen. Furthermore, this study provides general, unbiased experimental and computational approaches that are broadly applicable for efficient elucidation of disease-causing mutations in bacterial pathogens.


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