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Featured researches published by Matthew Cotten.


Nature | 2017

Virus genomes reveal factors that spread and sustained the Ebola epidemic

Gytis Dudas; Luiz Max Carvalho; Trevor Bedford; Andrew J. Tatem; Guy Baele; Nuno Rodrigues Faria; Daniel J. Park; Jason T. Ladner; Armando Arias; Danny A. Asogun; Filip Bielejec; Sarah Caddy; Matthew Cotten; Jonathan D’ambrozio; Simon Dellicour; Antonino Di Caro; Joseph W. Diclaro; Sophie Duraffour; Michael J. Elmore; Lawrence S. Fakoli; Ousmane Faye; Merle L. Gilbert; Sahr M. Gevao; Stephen K. Gire; Adrianne Gladden-Young; Andreas Gnirke; Augustine Goba; Donald S. Grant; Bart L. Haagmans; Julian A. Hiscox

The 2013–2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic ‘gravity’ model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics.


Virus Evolution | 2016

Unbiased whole-genome deep sequencing of human and porcine stool samples reveals circulation of multiple groups of rotaviruses and a putative zoonotic infection

My V.T. Phan; Pham Hong Anh; Nguyen Van Cuong; Bas B. Oude Munnink; Lia van der Hoek; Phuc Tran My; Tue Ngo Tri; Juliet E. Bryant; Stephen Baker; Guy Thwaites; Mark E. J. Woolhouse; Paul Kellam; Maia A. Rabaa; Matthew Cotten

Abstract Coordinated and synchronous surveillance for zoonotic viruses in both human clinical cases and animal reservoirs provides an opportunity to identify interspecies virus movement. Rotavirus (RV) is an important cause of viral gastroenteritis in humans and animals. In this study, we document the RV diversity within co-located humans and animals sampled from the Mekong delta region of Vietnam using a primer-independent, agnostic, deep sequencing approach. A total of 296 stool samples (146 from diarrhoeal human patients and 150 from pigs living in the same geographical region) were directly sequenced, generating the genomic sequences of sixty human rotaviruses (all group A) and thirty-one porcine rotaviruses (thirteen group A, seven group B, six group C, and five group H). Phylogenetic analyses showed the co-circulation of multiple distinct RV group A (RVA) genotypes/strains, many of which were divergent from the strain components of licensed RVA vaccines, as well as considerable virus diversity in pigs including full genomes of rotaviruses in groups B, C, and H, none of which have been previously reported in Vietnam. Furthermore, the detection of an atypical RVA genotype constellation (G4-P[6]-I1-R1-C1-M1-A8-N1-T7-E1-H1) in a human patient and a pig from the same region provides some evidence for a zoonotic event.


BMC Medicine | 2016

Infectious diseases epidemic threats and mass gatherings: refocusing global attention on the continuing spread of the Middle East Respiratory syndrome coronavirus (MERS-CoV)

Alimuddin Zumla; Abdulaziz N. Alagaili; Matthew Cotten; Esam I. Azhar

Media and World Health Organization (WHO) attention on Zika virus transmission at the 2016 Rio Olympic Games and the 2015 Ebola virus outbreak in West Africa diverted the attention of global public health authorities from other lethal infectious diseases with epidemic potential. Mass gatherings such as the annual Hajj pilgrimage hosted by Kingdom of Saudi Arabia attract huge crowds from all continents, creating high-risk conditions for the rapid global spread of infectious diseases. The highly lethal Middle Eastern respiratory syndrome coronavirus (MERS-CoV) remains in the WHO list of top emerging diseases likely to cause major epidemics. The 2015 MERS-CoV outbreak in South Korea, in which 184 MERS cases including 33 deaths occurred in 2xa0months, that was imported from the Middle East by a South Korean businessman was a wake-up call for the global community to refocus attention on MERS-CoV and other emerging and re-emerging infectious diseases with epidemic potential. The international donor community and Middle Eastern countries should make available resources for, and make a serious commitment to, taking forward a “One Health” global network for proactive surveillance, rapid detection, and prevention of MERS-CoV and other epidemic infectious diseases threats.


Eurosurveillance | 2016

Severe acute respiratory infection caused by swine influenza virus in a child necessitating extracorporeal membrane oxygenation (ECMO), the Netherlands, October 2016

Pieter L. A. Fraaij; Enno Wildschut; Robert Jan Houmes; Corien Swaan; Christian J. P. A. Hoebe; H C C de Jonge; Paulien Tolsma; Ismé de Kleer; Suzan D. Pas; Bas B. Oude Munnink; My V. T. Phan; Theo M. Bestebroer; R Shanty Roosenhoff; Jeroen J. A. van Kampen; Matthew Cotten; Nancy Beerens; Ron A. M. Fouchier; Johannes H. C. T. van den Kerkhof; Aura Timen; Marion Koopmans

In October 2016, a severe infection with swine influenza A(H1N1) virus of the Eurasian avian lineage occurred in a child with a previous history of eczema in the Netherlands, following contact to pigs. The patient’s condition deteriorated rapidly and required life support through extracorporeal membrane oxygenation. After start of oseltamivir treatment and removal of mucus plugs, the patient fully recovered. Monitoring of more than 80 close unprotected contacts revealed no secondary cases.


Virus Evolution | 2017

Characterization of Posa and Posa-like virus genomes in fecal samples from humans, pigs, rats, and bats collected from a single location in Vietnam

Bas B. Oude Munnink; My V. T. Phan; Peter Simmonds; Marion Koopmans; Paul Kellam; Lia van der Hoek; Matthew Cotten

Abstract Porcine stool-associated RNA virus (posavirus), and Human stool-associated RNA virus (husavirus) are viruses in the order Picornavirales recently described in porcine and human fecal samples. The tentative group (Posa and Posa-like viruses: PPLVs) also includes fish stool-associated RNA virus (fisavirus) as well as members detected in insects (Drosophila subobscura and Anopheles sinensis) and parasites (Ascaris suum). As part of an agnostic deep sequencing survey of animal and human viruses in Vietnam, we detected three husaviruses in human fecal samples, two of which share 97–98% amino acid identity to Dutch husavirus strains and one highly divergent husavirus with only 25% amino acid identity to known husaviruses. In addition, the current study found forty-seven complete posavirus genomes from pigs, ten novel rat stool-associated RNA virus genomes (tentatively named rasavirus), and sixteen novel bat stool-associated RNA virus genomes (tentatively named basavirus). The five expected Picornavirales protein domains (helicase, 3C-protease, RNA-dependent RNA polymerase, and two Picornavirus capsid domain) were found to be encoded by all PPLV genomes. In addition, a nucleotide composition analysis revealed that the PPLVs shared compositional properties with arthropod viruses and predicted non-mammalian hosts for all PPLV lineages. The study adds seventy-six genomes to the twenty-nine PPLV genomes currently available and greatly extends our sequence knowledge of this group of viruses within the Picornavirales order.


Virus Evolution | 2017

Transmission patterns and evolution of respiratory syncytial virus in a community outbreak identified by genomic analysis.

Charles N. Agoti; Patrick Munywoki; My V. T. Phan; James R. Otieno; Everlyn Kamau; Anne Bett; Ivy Kombe; George Githinji; Graham F. Medley; Patricia A. Cane; Paul Kellam; Matthew Cotten; D. James Nokes

Abstract Detailed information on the source, spread and evolution of respiratory syncytial virus (RSV) during seasonal community outbreaks remains sparse. Molecular analyses of attachment (G) gene sequences from hospitalized cases suggest that multiple genotypes and variants co-circulate during epidemics and that RSV persistence over successive seasons is characterized by replacement and multiple new introductions of variants. No studies have defined the patterns of introduction, spread and evolution of RSV at the local community and household level. We present a whole genome sequence analysis of 131 RSV group A viruses collected during 6-month household-based RSV infection surveillance in Coastal Kenya, 2010 within an area of 12u2009km2. RSV infections were identified by regular symptom-independent screening of all household members twice weekly. Phylogenetic analysis revealed that the RSV A viruses in nine households were closely related to genotype GA2 and fell within a single branch of the global phylogeny. Genomic analysis allowed the detection of household-specific variation in seven households. For comparison, using only G gene analysis, household-specific variation was found only in one of the nine households. Nucleotide changes were observed both intra-host (viruses identified from same individual in follow-up sampling) and inter-host (viruses identified from different household members) and these coupled with sampling dates enabled a partial reconstruction of the within household transmission chains. The genomic evolutionary rate for the household dataset was estimated as 2.307u2009×u200910u2009−u20093 (95% highest posterior density: 0.935–4.165×u200910u2009−u20093) substitutions/site/year. We conclude that (i) at the household level, most RSV infections arise from the introduction of a single virus variant followed by accumulation of household specific variation and (ii) analysis of complete virus genomes is crucial to better understand viral transmission in the community. A key question arising is whether prevention of RSV introduction or spread within the household by vaccinating key transmitting household members would lead to a reduced onward community-wide transmission.


The Journal of Infectious Diseases | 2017

Whole-Genome Next-Generation Sequencing to Study Within-Host Evolution of Norovirus (NoV) Among Immunocompromised Patients With Chronic NoV Infection.

Janko van Beek; Miranda de Graaf; Saskia L. Smits; Claudia M. E. Schapendonk; Georges M. G. M. Verjans; Harry Vennema; Annemiek A. van der Eijk; My V. T. Phan; Matthew Cotten; Marion Koopmans

BackgroundnThe genus Norovirus comprises large genetic diversity, and new GII.4 variants emerge every 2-3 years. It is unknown in which host these new variants originate. Here we study whether prolonged shedders within the immunocompromised population could be a reservoir for newly emerging strains.nnnMethodsnSixty-five fecal samples from 16 immunocompromised patients were retrospectively selected. Isolated viral RNA was enriched by hybridization with a custom norovirus whole-genome RNA bait set and deep sequenced on the Illumina MiSeq platform.nnnResultsnPatients shed virus for average 352 days (range, 76-716 days). Phylogenetic analysis showed distinct GII.4 variants in 3 of 13 patients (23%). The viral mutation rates were variable between patients but did not differ between various immune status groups. All within-host GII.4 viral populations showed amino acid changes at blocking epitopes over time, and the majority of VP1 amino acid mutations were located at the capsid surface.nnnConclusionsnThis study found viruses in immunocompromised hosts that are genetically distinct from viruses circulating in the general population, and these patients therefore may contain a reservoir for newly emerging strains. Future studies need to determine whether these new strains are of risk to other immunocompromised patients and the general population.


Genome Announcements | 2016

Genome Sequences of a Novel Vietnamese Bat Bunyavirus

Bas B. Oude Munnink; My V. T. Phan; Lia van der Hoek; Paul Kellam; Matthew Cotten

ABSTRACT To document the viral zoonotic risks in Vietnam, fecal samples were systematically collected from a number of mammals in southern Vietnam and subjected to agnostic deep sequencing. We describe here novel Vietnamese bunyavirus sequences detected in bat feces. The complete L and S segments from 14 viruses were determined.


bioRxiv | 2018

Assessing the utility of minority variant composition in elucidating RSV transmission pathways

George Githinji; Charles N. Agoti; Nelson Kibinge; Sonal Henson; Patrick K. Munywoki; Samuel Brand; Graham Mendley; Patricia A. Cane; Matthew Cotten; D. James Nokes; Colin J. Worby

Reconstructing transmission pathways and defining the underlying determinants of virus diversity is critical for developing effective control measures. Whole genome consensus sequences represent the dominant virus subtype which does not provide sufficient information to resolve transmission events for rapidly spreading viruses with overlapping generations. We explored whether the within-host diversity of respiratory syncytial virus quantified from deep sequence data provides additional resolution to inform on who acquires infection from whom based on shared minor variants in samples that comprised epidemiological clusters and that shared similar genetic background. We report that RSV-A infections are characterized by low frequency diversity that occurs across the genome. Shared minor variant patterns alone, were insufficient to elucidate transmission chains within household members. However, they provided inference on potential transmission links where phylogenetic methods were uninformative of transmission when consensus sequences were identical. Interpretation of minor variant patterns was tractable only for small household outbreaks.


Wellcome Open Research | 2018

Evaluating the performance of tools used to call minority variants from whole genome short-read data

Khadija Said Mohammed; Nelson Kibinge; Pjotr Prins; Charles N. Agoti; Matthew Cotten; D. J. Nokes; Samuel Brand; George Githinji

Background: High-throughput whole genome sequencing facilitates investigation of minority virus sub-populations from virus positive samples. Minority variants are useful in understanding within and between host diversity, population dynamics and can potentially assist in elucidating person-person transmission pathways. Several minority variant callers have been developed to describe low frequency sub-populations from whole genome sequence data. These callers differ based on bioinformatics and statistical methods used to discriminate sequencing errors from low-frequency variants. Methods: We evaluated the diagnostic performance and concordance between published minority variant callers used in identifying minority variants from whole-genome sequence data from virus samples. We used the ART-Illumina read simulation tool to generate three artificial short-read datasets of varying coverage and error profiles from an RSV reference genome. The datasets were spiked with nucleotide variants at predetermined positions and frequencies. Variants were called using FreeBayes, LoFreq, Vardict, and VarScan2. The variant callers’ agreement in identifying known variants was quantified using two measures; concordance accuracy and the inter-caller concordance. Results: The variant callers reported differences in identifying minority variants from the datasets. Concordance accuracy and inter-caller concordance were positively correlated with sample coverage. FreeBayes identified the majority of variants although it was characterised by variable sensitivity and precision in addition to a high false positive rate relative to the other minority variant callers and which varied with sample coverage. LoFreq was the most conservative caller. Conclusions: We conducted a performance and concordance evaluation of four minority variant calling tools used to identify and quantify low frequency variants. Inconsistency in the quality of sequenced samples impacts on sensitivity and accuracy of minority variant callers. Our study suggests that combining at least three tools when identifying minority variants is useful in filtering errors when calling low frequency variants.

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My V. T. Phan

Erasmus University Rotterdam

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Marion Koopmans

Erasmus University Rotterdam

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Bas B. Oude Munnink

Wellcome Trust Sanger Institute

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Everlyn Kamau

Kenya Medical Research Institute

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James R. Otieno

Kenya Medical Research Institute

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