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Dive into the research topics where Mathieu Fourment is active.

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Featured researches published by Mathieu Fourment.


BMC Evolutionary Biology | 2006

PATRISTIC: a program for calculating patristic distances and graphically comparing the components of genetic change

Mathieu Fourment; Mark J. Gibbs

BackgroundPhylogenies are commonly used to analyse the differences between genes, genomes and species. Patristic distances calculated from tree branch lengths describe the amount of genetic change represented by a tree and are commonly compared with other measures of mutation to investigate the substitutional processes or the goodness of fit of a tree to the raw data. Up until now no universal tool has been available for calculating patristic distances and correlating them with other genetic distance measures.ResultsPATRISTICv1.0 is a java program that calculates patristic distances from large trees in a range of file formats and allows graphical and statistical interpretation of distance matrices calculated by other programs.ConclusionThe software overcomes some logistic barriers to analysing signals in sequences. In additional to calculating patristic distances, it provides plots for any combination of matrices, calculates commonly used statistics, allows data such as isolation dates to be entered and reorders matrices with matching species or gene labels. It will be used to analyse rates of mutation and substitutional saturation and the evolution of viruses. It is available at http://biojanus.anu.edu.au/programs/ and requires the Java runtime environment.


Lancet Infectious Diseases | 2014

Yersinia pestis and the Plague of Justinian 541–543 AD: a genomic analysis

David M. Wagner; Jennifer Klunk; Michaela Harbeck; Alison M. Devault; Nicholas Waglechner; Jason W. Sahl; Jacob Enk; Dawn N. Birdsell; Melanie Kuch; Candice Y. Lumibao; Debi Poinar; Talima Pearson; Mathieu Fourment; Brian Golding; Julia M. Riehm; David J. D. Earn; Sharon N. DeWitte; Jean Marie Rouillard; Gisela Grupe; Ingrid Wiechmann; James B. Bliska; Paul Keim; Holger C. Scholz; Edward C. Holmes; Hendrik N. Poinar

BACKGROUND Yersinia pestis has caused at least three human plague pandemics. The second (Black Death, 14-17th centuries) and third (19-20th centuries) have been genetically characterised, but there is only a limited understanding of the first pandemic, the Plague of Justinian (6-8th centuries). To address this gap, we sequenced and analysed draft genomes of Y pestis obtained from two individuals who died in the first pandemic. METHODS Teeth were removed from two individuals (known as A120 and A76) from the early medieval Aschheim-Bajuwarenring cemetery (Aschheim, Bavaria, Germany). We isolated DNA from the teeth using a modified phenol-chloroform method. We screened DNA extracts for the presence of the Y pestis-specific pla gene on the pPCP1 plasmid using primers and standards from an established assay, enriched the DNA, and then sequenced it. We reconstructed draft genomes of the infectious Y pestis strains, compared them with a database of genomes from 131 Y pestis strains from the second and third pandemics, and constructed a maximum likelihood phylogenetic tree. FINDINGS Radiocarbon dating of both individuals (A120 to 533 AD [plus or minus 98 years]; A76 to 504 AD [plus or minus 61 years]) places them in the timeframe of the first pandemic. Our phylogeny contains a novel branch (100% bootstrap at all relevant nodes) leading to the two Justinian samples. This branch has no known contemporary representatives, and thus is either extinct or unsampled in wild rodent reservoirs. The Justinian branch is interleaved between two extant groups, 0.ANT1 and 0.ANT2, and is distant from strains associated with the second and third pandemics. INTERPRETATION We conclude that the Y pestis lineages that caused the Plague of Justinian and the Black Death 800 years later were independent emergences from rodents into human beings. These results show that rodent species worldwide represent important reservoirs for the repeated emergence of diverse lineages of Y pestis into human populations. FUNDING McMaster University, Northern Arizona University, Social Sciences and Humanities Research Council of Canada, Canada Research Chairs Program, US Department of Homeland Security, US National Institutes of Health, Australian National Health and Medical Research Council.


Proceedings of the National Academy of Sciences of the United States of America | 2010

African apes as reservoirs of Plasmodium falciparum and the origin and diversification of the Laverania subgenus

Linda Duval; Mathieu Fourment; Eric Nerrienet; Dominique Rousset; Serge Alain Sadeuh; Steven M. Goodman; Nicole V. Andriaholinirina; Milijaona Randrianarivelojosia; Richard Paul; Vincent Robert; Francisco J. Ayala; Frédéric Ariey

We investigated two mitochondrial genes (cytb and cox1), one plastid gene (tufA), and one nuclear gene (ldh) in blood samples from 12 chimpanzees and two gorillas from Cameroon and one lemur from Madagascar. One gorilla sample is related to Plasmodium falciparum, thus confirming the recently reported presence in gorillas of this parasite. The second gorilla sample is more similar to the recently defined Plasmodium gaboni than to the P. falciparum–Plasmodium reichenowi clade, but distinct from both. Two chimpanzee samples are P. falciparum. A third sample is P. reichenowi and two others are P. gaboni. The other chimpanzee samples are different from those in the ape clade: two are Plasmodium ovale, and one is Plasmodium malariae. That is, we have found three human Plasmodium parasites in chimpanzees. Four chimpanzee samples were mixed: one species was P. reichenowi; the other species was P. gaboni in three samples and P. ovale in the fourth sample. The lemur sample, provisionally named Plasmodium malagasi, is a sister lineage to the large cluster of primate parasites that does not include P. falciparum or ape parasites, suggesting that the falciparum + ape parasite cluster (Laverania clade) may have evolved from a parasite present in hosts not ancestral to the primates. If malignant malaria were eradicated from human populations, chimpanzees, in addition to gorillas, might serve as a reservoir for P. falciparum.


PLOS ONE | 2009

Chimpanzee malaria parasites related to Plasmodium ovale in Africa.

Linda Duval; Eric Nerrienet; Dominique Rousset; Serge Alain Sadeuh; Sandrine Houzé; Mathieu Fourment; Jacques Le Bras; Vincent Robert; Frédéric Ariey

Since the 1970s, the diversity of Plasmodium parasites in African great apes has been neglected. Surprisingly, P. reichenowi, a chimpanzee parasite, is the only such parasite to have been molecularly characterized. This parasite is closely phylogenetically related to P. falciparum, the principal cause of the greatest malaria burden in humans. Studies of malaria parasites from anthropoid primates may provide relevant phylogenetic information, improving our understanding of the origin and evolutionary history of human malaria species. In this study, we screened 130 DNA samples from chimpanzees (Pan troglodytes) and gorillas (Gorilla gorilla) from Cameroon for Plasmodium infection, using cytochrome b molecular tools. Two chimpanzees from the subspecies Pan t. troglodytes presented single infections with Plasmodium strains molecularly related to the human malaria parasite P. ovale. These chimpanzee parasites and 13 human strains of P. ovale originated from a various sites in Africa and Asia were characterized using cytochrome b and cytochrome c oxidase 1 mitochondrial partial genes and nuclear ldh partial gene. Consistent with previous findings, two genetically distinct types of P. ovale, classical and variant, were observed in the human population from a variety of geographical locations. One chimpanzee Plasmodium strain was genetically identical, on all three markers tested, to variant P. ovale type. The other chimpanzee Plasmodium strain was different from P. ovale strains isolated from humans. This study provides the first evidence of possibility of natural cross-species exchange of P. ovale between humans and chimpanzees of the subspecies Pan t. troglodytes.


PLOS Pathogens | 2013

Influenza A Virus Migration and Persistence in North American Wild Birds

Justin Bahl; Scott Krauss; Denise Kühnert; Mathieu Fourment; Garnet Raven; S. Paul Pryor; Lawrence J. Niles; Angela Danner; David Walker; Yvonne C. F. Su; Vivien G. Dugan; Rebecca A. Halpin; Timothy B. Stockwell; Richard J. Webby; David E. Wentworth; Alexei J. Drummond; Gavin J. D. Smith; Robert G. Webster

Wild birds have been implicated in the emergence of human and livestock influenza. The successful prediction of viral spread and disease emergence, as well as formulation of preparedness plans have been hampered by a critical lack of knowledge of viral movements between different host populations. The patterns of viral spread and subsequent risk posed by wild bird viruses therefore remain unpredictable. Here we analyze genomic data, including 287 newly sequenced avian influenza A virus (AIV) samples isolated over a 34-year period of continuous systematic surveillance of North American migratory birds. We use a Bayesian statistical framework to test hypotheses of viral migration, population structure and patterns of genetic reassortment. Our results reveal that despite the high prevalence of Charadriiformes infected in Delaware Bay this host population does not appear to significantly contribute to the North American AIV diversity sampled in Anseriformes. In contrast, influenza viruses sampled from Anseriformes in Alberta are representative of the AIV diversity circulating in North American Anseriformes. While AIV may be restricted to specific migratory flyways over short time frames, our large-scale analysis showed that the long-term persistence of AIV was independent of bird flyways with migration between populations throughout North America. Analysis of long-term surveillance data provides vital insights to develop appropriately informed predictive models critical for pandemic preparedness and livestock protection.


eLife | 2015

The contrasting phylodynamics of human influenza B viruses

Dhanasekaran Vijaykrishna; Edward C. Holmes; Udayan Joseph; Mathieu Fourment; Yvonne C. F. Su; Rebecca A. Halpin; Raphael Tze Chuen Lee; Yi-Mo Deng; Vithiagaran Gunalan; Xudong Lin; Timothy B. Stockwell; Nadia Fedorova; Bin Zhou; Natalie Spirason; Denise Kühnert; Veronika Boskova; Tanja Stadler; Anna-Maria Costa; Dominic E. Dwyer; Q. Sue Huang; Lance C. Jennings; William D. Rawlinson; Sheena G. Sullivan; Aeron C. Hurt; Sebastian Maurer-Stroh; David E. Wentworth; Gavin J. D. Smith; Ian G. Barr

A complex interplay of viral, host, and ecological factors shapes the spatio-temporal incidence and evolution of human influenza viruses. Although considerable attention has been paid to influenza A viruses, a lack of equivalent data means that an integrated evolutionary and epidemiological framework has until now not been available for influenza B viruses, despite their significant disease burden. Through the analysis of over 900 full genomes from an epidemiological collection of more than 26,000 strains from Australia and New Zealand, we reveal fundamental differences in the phylodynamics of the two co-circulating lineages of influenza B virus (Victoria and Yamagata), showing that their individual dynamics are determined by a complex relationship between virus transmission, age of infection, and receptor binding preference. In sum, this work identifies new factors that are important determinants of influenza B evolution and epidemiology. DOI: http://dx.doi.org/10.7554/eLife.05055.001


Molecular Biology and Evolution | 2012

Inconsistencies in Estimating the Age of HIV-1 Subtypes Due to Heterotachy

Joel O. Wertheim; Mathieu Fourment; Sergei L. Kosakovsky Pond

Rate heterogeneity among lineages is a common feature of molecular evolution, and it has long impeded our ability to accurately estimate the age of evolutionary divergence events. The development of relaxed molecular clocks, which model variable substitution rates among lineages, was intended to rectify this problem. Major subtypes of pandemic HIV-1 group M are thought to exemplify closely related lineages with different substitution rates. Here, we report that inferring the time of most recent common ancestor of all these subtypes in a single phylogeny under a single (relaxed) molecular clock produces significantly different dates for many of the subtypes than does analysis of each subtype on its own. We explore various methods to ameliorate this problem. We conclude that current molecular dating methods are inadequate for dealing with this type of substitution rate variation in HIV-1. Through simulation, we show that heterotachy causes root ages to be overestimated.


BMC Bioinformatics | 2008

A comparison of common programming languages used in bioinformatics

Mathieu Fourment; Michael R. Gillings

BackgroundThe performance of different programming languages has previously been benchmarked using abstract mathematical algorithms, but not using standard bioinformatics algorithms. We compared the memory usage and speed of execution for three standard bioinformatics methods, implemented in programs using one of six different programming languages. Programs for the Sellers algorithm, the Neighbor-Joining tree construction algorithm and an algorithm for parsing BLAST file outputs were implemented in C, C++, C#, Java, Perl and Python.ResultsImplementations in C and C++ were fastest and used the least memory. Programs in these languages generally contained more lines of code. Java and C# appeared to be a compromise between the flexibility of Perl and Python and the fast performance of C and C++. The relative performance of the tested languages did not change from Windows to Linux and no clear evidence of a faster operating system was found.Source code and additional information are available from http://www.bioinformatics.org/benchmark/ConclusionThis benchmark provides a comparison of six commonly used programming languages under two different operating systems. The overall comparison shows that a developer should choose an appropriate language carefully, taking into account the performance expected and the library availability for each language.


eLife | 2016

Eighteenth century Yersinia pestis genomes reveal the long-term persistence of an historical plague focus

Kirsten I. Bos; Alexander Herbig; Jason W. Sahl; Nicholas Waglechner; Mathieu Fourment; Stephen Forrest; Jennifer Klunk; Verena J. Schuenemann; Debi Poinar; Melanie Kuch; G. Brian Golding; Olivier Dutour; Paul Keim; David M. Wagner; Edward C. Holmes; Johannes Krause; Hendrik N. Poinar

The 14th–18th century pandemic of Yersinia pestis caused devastating disease outbreaks in Europe for almost 400 years. The reasons for plague’s persistence and abrupt disappearance in Europe are poorly understood, but could have been due to either the presence of now-extinct plague foci in Europe itself, or successive disease introductions from other locations. Here we present five Y. pestis genomes from one of the last European outbreaks of plague, from 1722 in Marseille, France. The lineage identified has not been found in any extant Y. pestis foci sampled to date, and has its ancestry in strains obtained from victims of the 14th century Black Death. These data suggest the existence of a previously uncharacterized historical plague focus that persisted for at least three centuries. We propose that this disease source may have been responsible for the many resurgences of plague in Europe following the Black Death. DOI: http://dx.doi.org/10.7554/eLife.12994.001


Emerging Infectious Diseases | 2013

Antigenic and Molecular Characterization of Avian Influenza A(H9N2) Viruses, Bangladesh

Karthik Shanmuganatham; Mohammed Mostafa Feeroz; Lisa Jones-Engel; Gavin J. D. Smith; Mathieu Fourment; David Walker; Laura McClenaghan; S. M. Rabiul Alam; M. Kamrul Hasan; Patrick Seiler; John Franks; Angie Danner; Subrata Barman; Pamela McKenzie; Scott Krauss; Richard J. Webby; Robert G. Webster

Human infection with avian influenza A(H9N2) virus was identified in Bangladesh in 2011. Surveillance for influenza viruses in apparently healthy poultry in live-bird markets in Bangladesh during 2008–2011 showed that subtype H9N2 viruses are isolated year-round, whereas highly pathogenic subtype H5N1 viruses are co-isolated with subtype H9N2 primarily during the winter months. Phylogenetic analysis of the subtype H9N2 viruses showed that they are reassortants possessing 3 gene segments related to subtype H7N3; the remaining gene segments were from the subtype H9N2 G1 clade. We detected no reassortment with subtype H5N1 viruses. Serologic analyses of subtype H9N2 viruses from chickens revealed antigenic conservation, whereas analyses of viruses from quail showed antigenic drift. Molecular analysis showed that multiple mammalian-specific mutations have become fixed in the subtype H9N2 viruses, including changes in the hemagglutinin, matrix, and polymerase proteins. Our results indicate that these viruses could mutate to be transmissible from birds to mammals, including humans.

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Mark J. Gibbs

Australian National University

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Gavin J. D. Smith

National University of Singapore

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Adrian Gibbs

Australian National University

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Yvonne C. F. Su

National University of Singapore

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David E. Wentworth

National Center for Immunization and Respiratory Diseases

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Brian C. Claywell

Fred Hutchinson Cancer Research Center

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