The Caucasus, at the border of Europe and Asia, is important for migration and over-wintering of wild waterbirds. Three flyways, the Central Asian, East Africa-West Asia, and Mediterranean/Black Sea flyways, converge in the Caucasus region. Thus, the Caucasus region might act as a migratory bridge for influenza virus transmission when birds aggregate in high concentrations in the post-breeding, migrating and overwintering periods. Since August 2009, we have established a surveillance network for influenza viruses in wild birds, using five sample areas geographically spread throughout suitable habitats in both eastern and western Georgia. We took paired tracheal and cloacal swabs and fresh feces samples. We collected 8343 swabs from 76 species belonging to 17 families in 11 orders of birds, of which 84 were real-time RT-PCR positive for avian influenza virus (AIV). No highly pathogenic AIV (HPAIV) H5 or H7 viruses were detected. The overall AIV prevalence was 1.6%. We observed peak prevalence in large gulls during the autumn migration (5.3–9.8%), but peak prevalence in Black-headed Gulls in spring (4.2–13%). In ducks, we observed increased AIV prevalence during the autumn post-moult aggregations and migration stop-over period (6.3%) but at lower levels to those observed in other more northerly post-moult areas in Eurasia. We observed another prevalence peak in the overwintering period (0.14–5.9%). Serological and virological monitoring of a breeding colony of Armenian Gulls showed that adult birds were seropositive on arrival at the breeding colony, but juveniles remained serologically and virologically negative for AIV throughout their time on the breeding grounds, in contrast to gull AIV data from other geographic regions. We show that close phylogenetic relatives of viruses isolated in Georgia are sourced from a wide geographic area throughout Western and Central Eurasia, and from areas that are represented by multiple different flyways, likely linking different host sub-populations.

BackgroundAfrican swine fever virus (ASFV) causes an acute hemorrhagic infection in suids with a mortality rate of up to 100%. No vaccine is available and the potential for catastrophic disease in Europe remains elevated due to the ongoing ASF epidemic in Russia and Baltic countries. To date, intra-epidemic whole-genome variation for ASFV has not been reported. To provide a more comprehensive baseline for genetic variation early in the ASF outbreak, we sequenced two Georgian ASFV samples, G-2008/1 and G-2008/2, derived from domestic porcine blood collected in 2008.MethodsGenomic DNA was extracted directly from low-volume ASFV PCR-positive porcine blood samples and subjected to next generation sequencing on the Illumina Miseq platform. De novo and mapped sequence assemblies were performed using CLCBio software. Genomic illustrations, sequence alignments and assembly figures were generated using Geneious v10.2.4. Sequence repeat architecture was analyzed using DNASTAR GeneQuest 14.1.0.ResultsThe G-2008/1 and G-2008/2 genomes were distinguished from each other by coding changes in seven genes, including MGF 110-1 L, X69R, MGF 505-10R, EP364R, H233R, E199L, and MGF 360-21R in addition to eight homopolymer tract variations. The 2008/2 genome possessed a novel allele state at a previously undescribed intergenic repeat locus between genes C315R and C147L. The C315R/C147L locus represents the earliest observed variable repeat sequence polymorphism reported among isolates from this epidemic. No sequence variation was observed in conventional ASFV subtyping markers. The two genomes exhibited complete collinearity and identical gene content with the Georgia 2007/1 reference genome. Approximately 56 unique homopolymer A/T-tract variations were identified that were unique to the Georgia 2007/1 genome. In both 2008 genomes, within-sample sequence read heterogeneity was evident at six homopolymeric G/C-tracts confined to the known hypervariable ~ 7 kb region in the left terminal region of the genome.ConclusionsThis is the first intra-epidemic comparative genomic analysis reported for ASFV and provides insight into the intra-epidemic microevolution of ASFV. The genomes reported here, in addition to the G-2007/1 genome, provide an early baseline for future genome-level comparisons and epidemiological tracing efforts.Electronic supplementary materialThe online version of this article (10.1186/s12985-018-1099-z) contains supplementary material, which is available to authorized users.

A phylogenetic analysis of samples taken from reported outbreaks of peste des petits ruminants virus (PPRV) in Georgia revealed a closer relationship to viruses from northern and eastern Africa than to viruses from countries closer to Georgia. This finding has crucial implications for the control of PPRV in the region.

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Preventing zoonotic diseases requires coordinated actions by government authorities responsible for human and animal health. Constructing the frameworks needed to foster intersectoral collaboration can be approached in many ways. We highlight 3 examples of approaches to implement zoonotic disease prevention and control programs. The first, rabies control in Ethiopia, was implemented using an umbrella approach: a comprehensive program designed for accelerated impact. The second, a monkeypox program in Democratic Republic of the Congo, was implemented in a stepwise manner, whereby incremental improvements and activities were incorporated into the program. The third approach, a pathogen discovery program, applied in the country of Georgia, was designed to characterize and understand the ecology, epidemiology, and pathogenesis of a new zoonotic pathogen. No one approach is superior, but various factors should be taken into account during design, planning, and implementation.