Genomic and eco-epidemiological investigations in Uruguay reveal local Chikungunya virus transmission dynamics during its expansion across the Americas in 2023.

Uruguay experienced its first Chikungunya virus outbreak in 2023, resulting in a significant burden to its healthcare system. We conducted analysis based on real-time genomic surveillance (30 novel whole genomes) to offer timely insights into recent local transmission dynamics and eco-epidemiological factors behind its emergence and spread in the country.

Genomics-based timely detection of Dengue Virus type I genotypes I and V in Uruguay.

We report the first whole-genome sequences of Dengue Virus type I genotypes I and V from Uruguay, including the first cases ever reported in the country. Through timely genomic analysis, identification of these genotypes was possible, aiding in timely public health responses and intervention strategies to mitigate the impact of dengue outbreaks.

Genomic and eco-epidemiological investigations in Uruguay reveal local Chikungunya virus transmission dynamics during its expansion across the Americas in 2023.

Uruguay experienced its first Chikungunya virus outbreak in 2023, resulting in a significant burden to its healthcare system. We conducted analysis based on real-time genomic surveillance (30 novel whole genomes) to offer timely insights into recent local transmission dynamics and eco-epidemiological factors behind its emergence and spread in the country.

Molecular typing and antifungal susceptibility of clinical isolates of Cryptococcus neoformans and Cryptococcus gattii species complexes from the National Invasive Fungal Surveillance Network of Uruguay.

Cryptococcus neoformans and C. gattii species complexes (phylum: Basidiomycota) are environmental yeasts and are the main cause of human cryptococcosis worldwide. The most recent molecular typing studies in Latin America have focused on the intertropical region. Thus, this study aimed to update the knowledge of human cryptococcosis in the South American temperate region. We obtained and analyzed 116 C. neoformans/C. gattii species complexes isolates from the Public Health Surveillance Laboratory between 2008-2013 and 2017-2021 (C. gattii species complex = 1 and C. neoformans species complex = 115). The average patient age was 45 years, with an overall male:female ratio of 3.1:1. The proportion of HIV-negative patients was significantly higher in the second study period. Restriction fragment length polymorphism typing of URA5 gene revealed that the C. neoformans species complex comprised 75.7% VNI, 2.6% VNII, 0.9% VNIII, 1.7% VNIV, 17.4% VNII/VNIV hybrids, and one C. neoformans isolate (0.9%) misidentified as VGI; the C. gattii species complex isolates comprised one VGII. The overall case fatality rate was 49.5%, with no differences in lethality between VNI and hybrid isolates. Of the four isolates responsible for episodes of reoccurrence, only one had a genotype different from the first episode. Antifungal susceptibility testing revealed that most isolates fell below the local epidemiological cut-off value. This study provides additional information for the analysis of C. neoformans/C. gattii species complexes dynamics in the South American temperate region.

This study describes the epidemiological and molecular trends of human cryptococcosis according to the public health Uruguayan surveillance network. The findings provide additional information for analyzing the Cryptococcusneoformans/C. gattii species complexes in the South American temperate region.

A Multiplex Nanopore Sequencing Approach for the Detection of Multiple Arboviral Species.

The emergence and continued geographic expansion of arboviruses and the growing number of infected people have highlighted the need to develop and improve multiplex methods for rapid and specific detection of pathogens. Sequencing technologies are promising tools that can help in the laboratory diagnosis of conditions that share common symptoms, such as pathologies caused by emerging arboviruses. In this study, we integrated nanopore sequencing and the advantages of reverse transcription polymerase chain reaction (RT-PCR) to develop a multiplex RT-PCR protocol for the detection of Chikungunya virus (CHIKV) and several orthoflaviviruses (such as dengue (Orthoflavivirus dengue), Zika (Orthoflavivirus zikaense), yellow fever (Orthoflavivirus flavi), and West Nile (Orthoflavivirus nilense) viruses) in a single reaction, which provides data for sequence-based differentiation of arbovirus lineages.

Emergence and spreading of the largest SARS-CoV-2 deletion in the Delta AY.20 lineage from Uruguay.

The genetic variability of SARS-CoV-2 (genus Betacoronavirus, family Coronaviridae) has been scrutinized since its first detection in December 2019. Although the role of structural variants, particularly deletions, in virus evolution is little explored, these genome changes are extremely frequent. They are associated with relevant processes, including immune escape and attenuation. Deletions commonly occur in accessory ORFs and might even lead to the complete loss of one or more ORFs. This scenario poses an interesting question about the origin and spreading of extreme structural rearrangements that persist without compromising virus viability. Here, we analyze the genome of SARS-CoV-2 in late 2021 in Uruguay and identify a Delta lineage (AY.20) that experienced a large deletion (872 nucleotides according to the reference Wuhan strain) that removes the 7a, 7b, and 8 ORFs. Deleted viruses coexist with wild-type (without deletion) AY.20 and AY.43 strains. The Uruguayan deletion is like those identified in Delta strains from Poland and Japan but occurs in a different Delta clade. Besides providing proof of the circulation of this large deletion in America, we infer that the 872-deletion arises by the consecutive occurrence of a 6-nucleotide deletion, characteristic of delta strains, and an 866-nucleotide deletion that arose independently in the AY.20 Uruguayan lineage. The largest deletion occurs adjacent to transcription regulatory sequences needed to synthesize the nested set of subgenomic mRNAs that serve as templates for transcription. Our findings support the role of transcription sequences as a hotspot for copy-choice recombination and highlight the remarkable dynamic of SARS-CoV-2 genomes.

Transmission cluster of COVID-19 cases from Uruguay: emergence and spreading of a novel SARS-CoV-2 ORF6 deletion.

BACKGROUND: Evolutionary changes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) include indels in non-structural, structural, and accessory open reading frames (ORFs) or genes. OBJECTIVES: We track indels in accessory ORFs to infer evolutionary gene patterns and epidemiological links between outbreaks. METHODS: Genomes from Coronavirus disease 2019 (COVID-19) case-patients were Illumina sequenced using ARTIC_V3. The assembled genomes were analysed to detect substitutions and indels. FINDINGS: We reported the emergence and spread of a unique 4-nucleotide deletion in the accessory ORF6, an interesting gene with immune modulation activity. The deletion in ORF6 removes one repeat unit of a two 4-nucleotide repeat, which shows that directly repeated sequences in the SARS-CoV-2 genome are associated with indels, even outside the context of extended repeat regions. The 4-nucleotide deletion produces a frameshifting change that results in a protein with two inserted amino acids, increasing the coding information of this accessory ORF. Epidemiological and genomic data indicate that the deletion variant has a single common ancestor and was initially detected in a health care outbreak and later in other COVID-19 cases, establishing a transmission cluster in the Uruguayan population. MAIN CONCLUSIONS: Our findings provide evidence for the origin and spread of deletion variants and emphasise indels' importance in epidemiological studies, including differentiating consecutive outbreaks occurring in the same health facility.

Transmission cluster of COVID-19 cases from Uruguay: emergence and spreading of a novel SARS-CoV-2 ORF6 deletion

BACKGROUND Evolutionary changes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) include indels in non-structural, structural, and accessory open reading frames (ORFs) or genes. OBJECTIVES We track indels in accessory ORFs to infer evolutionary gene patterns and epidemiological links between outbreaks. METHODS Genomes from Coronavirus disease 2019 (COVID-19) case-patients were Illumina sequenced using ARTIC_V3. The assembled genomes were analysed to detect substitutions and indels. FINDINGS We reported the emergence and spread of a unique 4-nucleotide deletion in the accessory ORF6, an interesting gene with immune modulation activity. The deletion in ORF6 removes one repeat unit of a two 4-nucleotide repeat, which shows that directly repeated sequences in the SARS-CoV-2 genome are associated with indels, even outside the context of extended repeat regions. The 4-nucleotide deletion produces a frameshifting change that results in a protein with two inserted amino acids, increasing the coding information of this accessory ORF. Epidemiological and genomic data indicate that the deletion variant has a single common ancestor and was initially detected in a health care outbreak and later in other COVID-19 cases, establishing a transmission cluster in the Uruguayan population. MAIN CONCLUSIONS Our findings provide evidence for the origin and spread of deletion variants and emphasise indels' importance in epidemiological studies, including differentiating consecutive outbreaks occurring in the same health facility.

Population Structure of Candida parapsilosis: No Genetic Difference Between French and Uruguayan Isolates Using Microsatellite Length Polymorphism.

Candida parapsilosis is a human commensal yeast, frequently involved in infection worldwide and especially in neonates. It is the second species responsible for bloodstream infections in Uruguay and the third species in France. We were interested in knowing whether the population structure of isolates responsible for candidemia in France and in Uruguay was different. Genotyping methods based on microsatellite length polymorphism (MLP) have been described and are especially used for investigation of local outbreaks. We therefore determined the genotypes of 159 C. parapsilosis isolates recovered from 122 patients (84 French patients from 43 hospitals and 38 Uruguayan patients from 10 hospitals) using three microsatellites markers previously described. Our results confirmed that C. parapsilosis population has a high genetic diversity, clonal inheritance and that majority of patients were infected by a single isolate. But we described recurrent infections due to related or unrelated genotypes resulting from isolates harboring loss or gain of heterozygosity. We also described three cases of coinfections due to unrelated genotypes. We did not uncover geographic specificity but observed two linked genotypes that seem to be associated with voriconazole resistance. Finally, among eight isolates involved in grouped cases, the genotypes were similar in six cases supporting the hypothesis of inter-patient transmission. These results confirmed the usefulness of performing MLP genotyping analysis for grouped cases of C. parapsilosis isolates in order to reinforce preventive hygiene measures.