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Many antibody and immune escape variants in SARS-CoV-2 are now documented in literature. The availability of SARS-CoV-2 genome sequences enabled us to investigate the occurrence and genetic epidemiology of the variants globally. Our analysis suggests that a number of genetic variants associated with immune escape have emerged in global populations.
Camels are vital to food production in the drylands of the Horn of Africa, with milk as their main contribution to food security. A major constraint to camel milk production is mastitis, inflammation of the mammary gland. The condition negatively impacts milk yield and quality as well as household income. The leading cause of mastitis in dairy camels is Streptococcus agalactiae, group B Streptococcus (GBS), which is also a commensal and pathogen of humans. It has been suggested that extramammary reservoirs for this pathogen may contribute to the occurrence of mastitis in camels. We explored the molecular epidemiology of GBS in camels using a cross-sectional study design for sample collection and phenotypic, genomic and phylogenetic analysis of isolates. Among 88 adult camels and 93 calves from six herds in Laikipia County, Kenya, GBS was detected in 20% of 50 milk samples, 25% of 152 nasal swabs, 8% of 90 oral swabs and 3% of 90 rectal swabs, but not in vaginal swabs. Per camel herd, two to four sequence types (ST) were present. More than half of the isolates belonged to ST617 or its single-locus variant, ST1652, with these STs found across all sample types. Serotype VI was detected in 30 of 58 isolates. In three herds, identical STs were detected in milk and swab samples, suggesting that extramammary sources of GBS may contribute to the maintenance and spread of GBS within camel herds. This needs to be considered when developing prevention and control strategies. In addition, the high nasal carriage rate, low recto-vaginal carriage rate, and high prevalence of serotype VI for GBS in camels are in stark contrast to the distribution of GBS in humans and reveal hitherto unknown ecological and molecular features of this bacterial species.
BackgroundCorynebacterium diphtheriae is highly transmissible and can cause large diphtheria outbreaks where vaccination coverage is insufficient. Sporadic cases or small clusters are observed in high-vaccination settings. The phylogeography and short timescale evolution of C. diphtheriae are not well understood, in part due to a lack of harmonized analytical approaches of genomic surveillance and strain tracking. MethodsWe combined 1,305 genes with highly reproducible allele calls into a core genome multilocus sequence typing (cgMLST) scheme. We analyzed cgMLST genes diversity among 602 isolates from sporadic clinical cases, small clusters or large outbreaks. We defined sublineages based on the phylogenetic structure within C. diphtheriae and strains based on the highest number of cgMLST mismatches within documented outbreaks. We performed time-scaled phylogenetic analyses of major sublineages. ResultsThe cgMLST scheme showed high allele call rate in C. diphtheriae and the closely related species C. belfantii and C. rouxii. We demonstrate its utility to delineate epidemiological case clusters and outbreaks using a 25 mismatches threshold, and reveal a number of cryptic transmission chains, most of which are geographically restricted to one or a few adjacent countries. Subcultures of the vaccine strain PW8 differed by up to 20 cgMLST mismatches. Phylogenetic analyses revealed short timescale evolutionary gain or loss of the diphtheria toxin and biovar-associated genes. We devised a genomic taxonomy of strains and deeper sublineages (defined using a 500 cgMLST mismatches threshold), currently comprising 151 sublineages, only a few of which are geographically widespread based on current sampling. The cgMLST genotyping tool and nomenclature was made publicly accessible at https://bigsdb.pasteur.fr/diphtheria. ConclusionsStandardized genome-scale strain genotyping will help tracing transmission and geographic spread of C. diphtheriae. The unified genomic taxonomy of C. diphtheriae strains provides a common language for studies into the ecology, evolution and virulence heterogeneity among C. diphtheriae sublineages.
Tick-borne encephalitis virus (TBEV) is the etiological agent of tick-borne encephalitis, an infectious disease of the central nervous system that is often associated with severe sequelae in humans. While TBEV is typically classified into three subtypes, recent evidence suggests a more varied range of TBEV subtypes and lineages that differ substantially in the architecture of their 3 untranslated region (3UTR). Building on comparative genomics approaches and thermodynamic modelling, we characterize the TBEV UTR structureome diversity and propose a unified picture of pervasive non-coding RNA (ncRNA) structure conservation. Moreover, we provide an updated phylogeny of TBEV, building on more than 220 publicly available complete genomes, and investigate the molecular epidemiology and phylodynamics with Nextstrain, a web-based visualization framework for real-time pathogen evolution.
BackgroundAnimal African Trypanosomosis (AAT) is a parasitic disease of livestock that has a major socio-economic impact in the affected areas. It is caused by several species of uniflagellate extracellular protists of the genus Trypanosoma mainly transmitted by tsetse flies: T. congolense, T. vivax and T. brucei brucei. In Burkina Faso, AAT hampers the proper economic development of the southwestern part of the country, which is yet the best watered area particularly conducive to agriculture and animal production. It was therefore important to investigate the extend of the infection in order to better control the disease. The objective of the present study was to assess the prevalence of trypanosome infections and collect data on the presence of tsetse flies. MethodsBuffy coat, Trypanosoma species-specific PCR, Indirect ELISA Trypanosoma sp and trypanolysis techniques were used on 1898 samples collected. An entomological survey was also carried out. ResultsThe parasitological prevalence of AAT was 1.1%, and all observed parasites were T. vivax. In contrast, the molecular prevalence was 23%, of which T. vivax was predominant (89%) followed by T. congolense (12%) and T. brucei s.l. (7.3%) with a sizable proportion as mixed infections (9.1%). T. brucei gambiense, responsible of sleeping sickness in humans, was not detected. The serological prevalence reached 49%. Once again T. vivax predominated (86.2%), but followed by T. brucei (9.6%) and T. congolense (4.2%), while 34.6% of positive samples tested positive for at least two trypanosome species. Seven samples, from six cattle and one pig, were found positive by trypanolysis. The density per trap of Glossina tachinoides and G. palpalis gambiensis was about three flies. Conclusions/SignificanceOverall, our study showed a high prevalence of trypanosome infection in the area, pointing out an ongoing inadequacy of control measures. Authors summaryIn Burkina Faso, like in most countries of sub-Saharan Africa, Animal African Trypanosomosis (AAT) is hampering economic development. It was therefore important to investigate the extent of trypanosome infections after years of control. This study examined circulating trypanosomes in domestic animals using parasitological, molecular and serological tools in southwest Burkina Faso. The prevalence levels observed show that the known epidemiological situation in the region has not really changed. The trypanosome species usually found in the area such as T. congolense, T. vivax and T. brucei s.l. have remained the same, with a stronger presence of T. vivax. The low occurrence of tsetse fly and the predominance of T. vivax attests to the role of the mechanical vectors in maintaining the disease. Although no cases of T. brucei gambiense infection was encountered in the animals examined, trypanolysis tests suggest that there are contact cases in this historical focus of sleeping sickness. Efforts are therefore necessary to reduce or even eliminate the trypanosome burden, and the data provided by this study can assist the decision making.
Many pathogens, especially those responsible for emerging infectious diseases, are transmitted in a host community. How the host community structure affects an epidemic is still debated, particularly whether increasing the host community complexity would tend to amplify or dilute the incidence of an epidemic in a target population, e.g. humans or cattle. In this paper, we build a stochastic SIR model and compare epidemiological dynamics in a target population between three simple host community structures with an increasing complexity. Globally, our results show two possible main outcomes. First, an intermediate host can have a diluting effect by preventing the direct transmission from hosts to the target population, thus reducing the prevalence of infection. Second, when two sources of infection are considered, the effects of the epidemic are generally amplified. By highlighting that the structure of the ecological hosts network can dramatically affect epidemics, our results may have implications for the control of emerging infectious diseases.
AO_SCPLOWBSTRACTC_SCPLOWThe ongoing SARS-CoV-2 pandemic has highlighted the difficulty in integrating disparate data sources for epidemiologic surveillance. To address this challenge, we have created a graph database to integrate phylogenetic trees, associated metadata, and community surveillance data for phylodynamic inference. As an example use case, we divided 22,713 SARS-CoV-2 samples into 5 groups, generated maximum likelihood trees, and inferred a potential transmission network from a forest of minimum spanning trees built on patristic distances between samples. We then used Cytoscape to visualize the resultant graphs.
SynopsisO_ST_ABSObjectivesC_ST_ABSOur aims were to compare faecal third-generation cephalosporin-resistant (3GC-R) Escherichia coli isolates from dogs living in a city and in a rural area ~30 km away; to compare isolates from dogs, cattle, and humans in these regions; to determine risk factors associated with 3GC-R E. coli carriage in these two cohorts of dogs. Methods600 dogs were included, with faecal samples processed to recover 3GC-R E. coli using 2 mg/L cefotaxime. WGS was by Illumina; risk factor analyses were multivariable linear regression using the results of an owner-completed survey. Results3GC-R E. coli were excreted by 20/303 rural and 31/297 urban dogs. Dog/human sharing was evident for the dominant canine 3GC-R sequence type, ST963(blaCMY-2). Cattle/dog sharing was evident for CTX-M-14 and CTX-M-32-producing E. coli from rural dogs, including sharing of plasmid pMOO-32, which is common on cattle farms in the area. Feeding raw meat was associated with carrying 3GC-R E. coli in rural dogs, but not in urban dogs, where swimming in rivers was a weak risk factor. ConclusionsGiven clear zoonotic potential for resistant canine E. coli, our work suggests interventions that may reduce this threat. In rural dogs, carriage of 3GC-R E. coli, particularly CTX-M producers, was phylogenetically associated with interaction with local cattle and epidemiologically associated with feeding raw meat. In urban dogs, sources of 3GC-R E. coli appear to be more varied and include environments such as rivers.
Most of the extraintestinal human infections worldwide are determined by some specific Extraintestinal Pathogenic Escherichia coli (ExPEC) lineages, which also present a zoonotic character. One of these lineages belongs to ST38, which is considered a uropathogenic/enteroaggregative E. coli hybrid and a high-risk globally disseminated ExPEC. To get insights on the aspects of ST38 epidemiology and evolution as a multidrug resistant and pathogenic lineage, this study performed a global comparative genomic analysis on ST38 genomes. A total of 376 genomes recovered from environments, humans, livestock, wild and domestic animals in all continents throughout three decades were analyzed considering the ST38 phylogenomics, resistome, plasmidome, and virulome. In general, our analyses revealed that, independently of host sources and geographic origin, these genomes were distributed in two clusters comprising clonal and non-clonal genomes. Moreover, the ST38 accessory genome was not strictly associated with clusters and sub-clusters. Interestingly, the High Pathogenicity Island (HPI) prevailed in the major cluster (cluster 2), which comprised most of the genomes from human origin recovered worldwide (2000 to 2020). In addition, the ExPEC ST38 harbors a huge and diverse plasmidome that might contribute to the evolution of this lineage, reflecting in ST38 ability to live in a diversity of niches as a commensal or pathogenic organism.
Since 1998 the state of Rio Grande do Sul, Brazil, has been free of foot-and-mouth disease (FMD) with yearly mandatory vaccination, until the 2000 and 2001 reintroductions. This study gathers data from both outbreaks including official veterinary state service archives and field investigation reports to quantify epidemiological parameters such as epidemic duration, number of secondary infected farms and animals, and estimate the epidemic rate of growth. We apply a Bayesian latent variable approach to estimate the time-varying reproduction number and calculate new confirmed cases by infection date. Additionally, we utilized between-farm animal movements to reconstruct possible FMD transmission and characteristics of spread over the current at-risk population, by incorporating bovine movement data from 2018 to 2020 as standard to benchmark infected network parameters. The results were consistent with the reports generated by the official investigation of the outbreaks and the models and results presented in this study may be useful for assessing the transmission dynamics and support control measures in the future.
The emergence of carbapenem-resistant (CR) hypervirulent Klebsiella pneumoniae (hvKp) is a new threat to healthcare. In this study, we studied the molecular epidemiology of CR Klebsiella isolates in Qatar using whole genome sequence data. We also characterised the prevalence and genetic basis of hypervirulent phenotypes, and established the virulence potential using a Galleria mellonella model. One hundred CR Klebsiella isolates were recovered, and NDM and OXA-48 were the most common carbapenemases. Phylogenetic analysis indicated the presence of diverse sequence types and clonal lineages; one of them belonged to K. quaisipneumoniae ST196 that may be disseminated among several health care centres. Ten K. pneumoniae isolates carrying rmpA and/or rmpA2, and 2 isolates belonged to KL2, indicating the prevalence of classical hypervirulent (hv) isolates was not high. Isolates carrying CR and hv genes were confined mainly to ST231 and ST383 isolates. One ST383 isolate was further investigated by MinION sequencing, and the assembled genome indicated the blaNDM was located on an IncHI1B type plasmid (pFQ61_ST383_NDM-5), which also harbored several virulence factors, including the regulator of the mucoid phenotype (rmpA), the regulator of mucoid phenotype 2 (rmpA2), and aerobactin (iucABCD and iutA), likely resulting from inversion and recombination events. In contrast, blaOXA-48 was located in an IncL-type plasmid. Comparative genomes indicated the recent evolution and emergence of CR-hv Kp ST383 via the acquisition of hybrid plasmids with both carbapenemase and virulence genes. CR-hv K. pneumoniae ST383 pose an emerging threat to global health due to their simultaneous hypervirulence and multidrug resistance.
ObjectivesPseudomonas aeruginosa is a key opportunistic pathogen causing a wide range of community- and hospital-acquired infections in immunocompromised or catheterized patients. Here, we report the complete genome sequence of a multidrug resistant (MDR) P. aeruginosa DMC30b in order to elucidate the genetic diversity, molecular epidemiology, and underlying mechanisms for antimicrobial resistance and virulence. MethodsP. aeruginosa DMC30b was isolated from septic wound swab of a severe burn patient. Whole-genome sequencing (WGS) was performed under Ion Torrent platform. The genome was annotated using the SPAdes v. 3.12.01 in an integrated Genome Analysis Platform (IonGAP) for Ion Torrent sequence data. The genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP). In-silico predictions of antimicrobial resistance genes (ARGs), virulence factor genes (VFGs) and metabolic functional potentials were performed using different curated bioinformatics tools. ResultsP. aeruginosa DMC30b was classified as MDR and belongs to sequence type 244 (ST244). The complete genome size is 6,994,756 bp with a coverage of 76.76x, G+C content of 65.7% and a BUSCO (Benchmarking Universal Single-Copy Orthologs) score of 100. The genome of P. aeruginosa DMC30b harboured two plasmids (e,g., IncP-6 plasmid p10265-KPC; 78,007 bp and ColRNAI_pkOIISD1; 9,359 bp), 35 resistomes (ARGs) conferring resistance to 18 different antibiotics (including four beta-lactam classes), and 214 VFGs. It was identified as the 167th ST244 strain among [~] 5,800 whole-genome sequences of P. aeruginosa available in the NCBI database. ConclusionP. aeruginosa DMC30b belongs to ST244 and was identified as the 167th such isolate to be submitted to NCBI, and the first complete ST244 genome from Bangladesh. The complete genome data with high genetic diversity and underlying mechanisms for antimicrobial resistance and virulence of P. aeruginosa DMC30b (ST244) will aid in understanding the evolution and phylogeny of such high-risk clones and provide a solid basis for further research on MDR or extensively drug resistant strains.
1Infectious Spleen and Kidney Necrosis Virus (ISKNV) is increasingly gaining more attention globally, due to its highly significant economic impact on the aquaculture industry. In late 2018, unusually high levels of mortality (60-90%) was reported in some intensive tilapia cage culture systems in Ghana. Preliminary investigations confirmed the involvement of ISKNV, a viral pathogen noted for fatal systemic infections in many fish species. As a follow-up on the outbreak situation, and post-mass vaccination of affected fish farms, the need to investigate further the molecular epidemiology and phylogeography of the virus across Lake Volta became paramount. In this study, a multiplexed PCR assay and MinION nanopore sequencing of the Major Capsid Protein (MCP) were performed to investigate the presence and genotype of ISKNV in tilapia collected from 30 randomly selected farms spread across Lake Volta. Fish with and without clinical signs were included in the molecular detection of the virus from brain, kidney and spleen tissues. ISKNV was detected at 80% prevalence with fry and juvenile fish being most affected. Phylogenetic analysis of the MCP revealed that all 35 isolates from 14 different farms were ISKNV genotype I with near- 100% homology to the 2018 outbreak strain. Vaccination and heat shock treatment; the main specific interventions currently employed to control the viral pathogen have not achieved much success and ISKNV remains a threat to the growth of the aquaculture industry in Ghana. The outcome of this study can be useful in improving fish health management and biosecurity policies in the aquaculture industry.
European-ancestry populations are recognized as stratified but not as admixed, implying that residual confounding by locus-specific ancestry can affect studies of association, polygenic adaptation, and polygenic risk scores. We integrated individual-level genome-wide data from ~19,000 European-ancestry individuals across 79 European populations and five European American cohorts. We generated a new reference panel that captures ancestral diversity missed by both the 1000 Genomes and Human Genome Diversity Projects. Both Europeans and European-Americans are admixed at subcontinental level, with admixture dates differing among subgroups of European Americans. After adjustment for both genome-wide and locus-specific ancestry, associations between a highly differentiated variant in LCT (rs4988235) and height or LDL-cholesterol were confirmed to be false positives whereas the association between LCT and body mass index was genuine. We provide formal evidence of subcontinental admixture in individuals with European ancestry, which, if not properly accounted for, can produce spurious results in genetic epidemiology studies.
Xanthomonas citri subspecies citri (XCC) is the cause of bacterial citrus canker, responsible for major economic losses to the citrus industry that includes sweet orange, lime and grapefruit production in regions including South America, United States, China and Japan. Other X. citri subsp. and pathovars are responsible for diseases in crops such as soy bean, common bean, mango, pomegranate and cashew. Tracing the spread of X. citri disease has been performed using several different typing methods over the years but recent studies using genomic sequencing have been key to understanding evolutionary relationships within the species including fundamental differences between XCC pathotypes. In this study we developed a core genome multilocus typing scheme (cgMLST) for X. citri based upon 250 genomes comprising multiple examples of X. citri subsp. citri pathotypes A, A* and Aw, X. citri subsp. malvacearum and X. citri pathovars aurantifolii, fuscans, glycines, malvacearum, mangiferaeindicae, viticola, vignicola and single isolates of X. citri pathovars dieffenbachiae and punicae. This dataset included genomic sequencing of 100 novel XCC isolates. The cgMLST scheme, based upon 1618 core genes across 250 genomes, has been implemented at PubMLST (https://pubmlst.org/organisms/xanthomonas-citri/). Grapetree minimum-spanning, and iTOL Neighbour-joining phylogenies generated from cgMLST data resolved almost identical groupings of isolates to a core genome SNP - based neighbour joining phylogeny taking 4 min, 15 min and 36 h respectively. These resolved identical groupings of XCC pathotypes and X. citri subsp. and pathovars. X. citri cgMLST should prove to be an increasingly valuable resource for the study of this key species of plant pathogenic bacteria. Users can submit genomic and associated metadata to compare with previously characterised isolates at PubMLST.org to allow rapid characterization of local, national and global epidemiology of these pathogens and examine evolutionary relationships.
Horseshoe bats are the natural hosts of the Sarbecovirus subgenus that includes SARS-CoV-1 and 2. Despite the devastating impacts of the COVID-19 pandemic, there is still little known about the underlying epidemiology and virology of sarbecoviruses in their natural hosts, leaving large gaps in our pandemic preparedness. Here we describe the results of PCR testing for sarbecoviruses in the two horseshoe bat species (Rhinolophus hipposideros and R. ferrumequinum) present in Great Britain, collected in 2021-22 during the peak of COVID-19 pandemic. One hundred and ninety seven R. hipposideros samples from 33 roost sites and 277 R. ferremequinum samples from 20 roost sites were tested. No coronaviruses were detected in any samples from R. ferrumequinum whereas 44% and 56% of individual and pooled (respectively) faecal samples from R. hipposideros across multiple roost sites tested positive in a sarbecovirus-specific qPCR. Full genome sequences were generated from three of the positive samples (and partial genomes from two more) using Illumina RNAseq on unenriched samples. Phylogenetic analyses showed that the obtained sequences belong to the same monophyletic clade, with >95% similarity, as previously reported European isolates from R. hipposideros. The sequences differed in the presence or absence of accessory genes ORF 7b, 9b and 10. All lacked the furin cleavage site of SARS-CoV-2 spike gene and are therefore unlikely to be infective for humans. These results demonstrate a lack, or at least low incidence, of SARS-CoV-2 spill over from humans to susceptible GB bats, and confirm that sarbecovirus infection is widespread in R. hipposideros. Despite frequently sharing roost sites with R. ferrumequinum, no evidence of cross-species transmission was found.
Breakthrough infection (BI) after coronavirus disease 2019 (COVID-19) vaccination has exploded owing to the emergence of various SARS-CoV-2 variants and has become a major problem at present. In this study, we analyzed the epidemiological information and possession status of neutralizing antibodies in patients with BI using SARS-CoV-2 pseudotyped viruses (SARS-CoV-2pv). Analysis of 44 specimens diagnosed with COVID-19 after two or more vaccinations showed high inhibition of infection by 90% or more against the Wuhan strain and the Alpha and Delta variants of pseudotyped viruses in 40 specimens. In contrast, almost no neutralizing activity was observed against the Omicron BA.1 variant. Many cases without neutralizing activity or BI were immunosuppressed individuals. The results of this study show that BI occurs even when there are sufficient neutralizing antibodies in the blood due to exposure to close contacts at the time of infection. Thus, even after vaccination, sufficient precautions must be taken to prevent infection.
Bordetella pertussis is responsible for the respiratory infectious disease pertussis (or whooping cough), which causes one of the most severe diseases in infants, although it can be prevented by whole cell and acellular vaccines. The recent resurgence of pertussis is partially due to pathogen adaptation to vaccines as well as resistance to antimicrobials. Surveillance of current circulating and emerging strains is therefore vital to understand the risks they pose to public health. Although there is increased genomics based typing, a genomic nomenclature for this pathogen has not been well established. Here, we implemented the Multilevel Genome Typing (MGT) system for B. pertussis with five levels of resolution, which provide targeted typing of relevant lineages as well as discrimination of closely related strains at the finest scale. The low resolution levels can describe the distribution of alleles of major vaccine antigen genes such as ptxP, fim3, fhaB and prn as well as temporal and spatial trends within the B. pertussis global population. Mid-resolution levels enables typing of antibiotic resistant lineages and Prn deficient lineages within the ptxP3 clade. High resolution levels can capture small-scale epidemiology such as local transmission events and has comparable resolution to existing genomic methods of strain relatedness assessment. The scheme offers stable MGT type assignments aiding harmonisation of typing and communication between laboratories. The scheme is available at www.mgtdb.unsw.edu.au/pertussis/ is regularly updated from global data repositories and accepts public data submissions. The MGT scheme provides a comprehensive, robust, and scalable system for global surveillance of B. pertussis.