It has been two years since the last major Campylobacter meeting, and there have been a number of exciting publications during that time. We have catalogued some of the highlights here.
Arning, N. et al. (2021) ‘Machine learning to predict the source of campylobacteriosis using whole genome data’, bioRxiv, p. 2021.02.23.432443. doi: http://doi.org/10.1101/2021.02.23.432443.
Bandoy, D. D. R. and Weimer, B. C. (2020) ‘Biological Machine Learning Combined with Campylobacter Population Genomics Reveals Virulence Gene Allelic Variants Cause Disease’, Microorganisms, 8(4), p. 549. doi: http://doi.org/10.3390/microorganisms8040549.
Barker, C. R. et al. (2020) ‘Microevolution of Campylobacter jejuni during long-term infection in an immunocompromised host’, Scientific Reports, 10(1), p. 10109. doi: http://doi.org/10.1038/s41598-020-66771-7.
Brehony, C. et al. (2021) ‘Establishment of sentinel surveillance of human clinical campylobacteriosis in Ireland’, Zoonoses and Public Health, 68(2), pp. 121–130. doi: http://doi.org/10.1111/zph.12802.
Butkevych, E. et al. (2020) ‘Contribution of Epithelial Apoptosis and Subepithelial Immune Responses in Campylobacter jejuni-Induced Barrier Disruption’, Frontiers in Microbiology, 11. doi: http://doi.org/10.3389/fmicb.2020.00344.
Jehanne, Q. et al. (2020) ‘Genome-Wide Identification of Host-Segregating Single-Nucleotide Polymorphisms for Source Attribution of Clinical Campylobacter coli Isolates’, Applied and Environmental Microbiology, 86(24). doi: http://doi.org/10.1128/AEM.01787-20.
Russell, K. M. et al. (2021) Transcriptomic analysis of caecal tissue in inbred chicken lines that exhibit heritable differences in resistance to Campylobacter jejuni. preprint. In Review. doi: http://doi.org/10.21203/rs.3.rs-198715/v1.