Sesay, A. K. | Search bioRxiv

bioRxiv2021

Comparative genomic analysis of skin and soft tissue Streptococcus pyogenes isolates from low- and high-income settings

Streptococcus pyogenes is a leading cause of human morbidity and mortality, especially in resource limited settings. The World Health Organisation has recently made a vaccine for S. pyogenes a global health priority to reduce the burden of the post-infection rheumatic heart disease. For a vaccine to be active against all relevant strains in each region, molecular characterisation of circulating S. pyogenes isolates is needed. We performed extensive comparative whole genome analyses of S. pyogenes isolates from skin and soft tissue infections in The Gambia, West Africa, where there is a high burden of such infections. To act as a comparator to this low-income country (LIC) collection of isolates, we performed genome sequencing of isolates from skin infections in Sheffield, UK, as representative high-income country (HIC) isolates. LIC isolates from The Gambia were genetically more diverse (46 emm-types in 107 isolates) compared to HIC isolates from Sheffield (23 emm-types in 142 isolates), with only 7 overlapping emm-types and with diverse genetic backgrounds. Characterisation of other molecular markers indicated some shared features, including a high prevalence of the skin infection-associated emm-pattern D and the variable fibronectin-collagen-T antigen (FCT) types FCT-3 and FCT-4. A previously unidentified FCT (FCT-10) was identified in the LIC isolates, belonging to two different emm-types. A high proportion (79/107; 73.8%) of LIC isolates carried genes for tetracycline resistance, compared to 53/142 (37.3%) HIC isolates. There was also evidence of different circulating prophages, as very few prophage-associated DNases and lower numbers of superantigens were detected in LIC isolates. Our study provides much needed insight into the genetics of circulating isolates in a LIC (The Gambia), and how they differ from those circulating in HICs (Sheffield, UK). Common molecular features may act as bacterial drivers for specific infection types, regardless of the diverse genetic background.

microbiology↗

bioRxiv2021

Invasive atypical non-typhoidal Salmonella in The Gambia

BackgroundInvasive non-typhoidal Salmonella (iNTS) disease continues to be a significant public health problem in sub-Saharan Africa. Common clinical misdiagnosis, antimicrobial resistance, high case fatality and lack of a vaccine make iNTS a priority for global health research. Using whole genome sequence analysis of 164 invasive Salmonella isolates obtained through population-based surveillance between 2008 and 2016, we conducted genomic analysis of the serovars causing invasive Salmonella diseases in rural Gambia. ResultsThe incidence of iNTS varied over time. The proportion of atypical serovars causing disease increased over time from 40% to 65% compared to the typical serovars Enteritidis and Typhimurium decreasing from 30% to 12%. Overall iNTS case fatality was 10% with 10% fatality in cases of atypical iNTS. Genetic virulence factors were identified in 14/70 (20%) typical serovars and 45/68 (66%) of the atypical serovars and were associated with: invasion, proliferation and/or translocation (Clade A); and host colonization and immune modulation (Clade G). Among Enteritidis isolates, 33/40 were resistant to [≥]4 the antimicrobials tested, except for ciprofloxacin, to which all isolates were susceptible. Resistance was low in Typhimurium isolates, however, all16 isolates were resistant to gentamicin. ConclusionThe increase in incidence and proportion of iNTS disease caused by atypical serovars is concerning. The increased proportion of atypical serovars and the high associated case fatality may be related to acquisition of specific genetic virulence factors. These factors may provide a selective advantage to the atypical serovars. Investigations should be conducted elsewhere in Africa to identify potential changes in the distribution iNTS serovars and the extent of these virulence elements.

genomics↗

bioRxiv2020

Origin of imported SARS-CoV-2 strains in The Gambia identified from whole genome sequences

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a positive-sense single stranded RNA virus with high human transmissibility. This study generated Whole Genome data to determine the origin and pattern of transmission of SARS-CoV-2 from the first six cases tested in The Gambia. Total RNA from SARS-CoV-2 was extracted from inactivated nasopharyngeal-oropharyngeal swabs of six cases and converted to cDNA following the ARTIC COVID-19 sequencing protocol. Libraries were constructed with the NEBNext ultra II DNA library prep kit for Illumina and Oxford Nanopore Ligation sequencing kit and sequenced on Illumina MiSeq and Nanopore GridION, respectively. Sequencing reads were mapped to the Wuhan reference genome and compared to eleven other SARS-CoV-2 strains of Asian, European and American origins. A phylogenetic tree was constructed with the consensus genomes for local and non-African strains. Three of the Gambian strains had a European origin (UK and Spain), two strains were of Asian origin (Japan). In The Gambia, Nanopore and Illumina sequencers were successfully used to identify the sources of SARS-CoV-2 infection in COVID-19 cases.

genomics↗

bioRxiv2020

Origin of imported SARS-CoV-2 strains in The Gambia identified from Whole Genome Sequences.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a positive-sense single stranded RNA virus with high human transmissibility. This study generated Whole Genome data to determine the origin and pattern of transmission of SARS-CoV-2 from the first six cases tested in The Gambia. Total RNA from SARS-CoV-2 was extracted from inactivated nasopharyngeal-oropharyngeal swabs of six cases and converted to cDNA following the ARTIC COVID-19 sequencing protocol. Libraries were constructed with the NEBNext ultra II DNA library prep kit for Illumina and Oxford Nanopore Ligation sequencing kit and sequenced on Illumina MiSeq and Nanopore GridION, respectively. Sequencing reads were mapped to the Wuhan reference genome and compared to eleven other SARS-CoV-2 strains of Asian, European and American origins. A phylogenetic tree was constructed with the consensus genomes for local and non-African strains. Three of the Gambian strains had a European origin (UK and Spain), two strains were of Asian origin (Japan). In The Gambia, Nanopore and Illumina sequencers were successfully used to identify the sources of SARS-CoV-2 infection in COVID-19 cases.

genomics↗