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Dive into the research topics where Samuel O. Oyola is active.

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Featured researches published by Samuel O. Oyola.


Nature Genetics | 2007

Comparative genomic analysis of three Leishmania species that cause diverse human disease.

Christopher S. Peacock; Kathy Seeger; David Harris; Lee Murphy; Jeronimo C. Ruiz; Michael A. Quail; Nick Peters; Ellen Adlem; Adrian Tivey; Martin Aslett; Arnaud Kerhornou; Alasdair Ivens; Audrey Fraser; Marie-Adele Rajandream; Tim Carver; Halina Norbertczak; Tracey Chillingworth; Zahra Hance; Kay Jagels; Sharon Moule; Doug Ormond; Simon Rutter; Rob Squares; Sally Whitehead; Ester Rabbinowitsch; Claire Arrowsmith; Brian R. White; Scott Thurston; Frédéric Bringaud; Sandra L. Baldauf

Leishmania parasites cause a broad spectrum of clinical disease. Here we report the sequencing of the genomes of two species of Leishmania: Leishmania infantum and Leishmania braziliensis. The comparison of these sequences with the published genome of Leishmania major reveals marked conservation of synteny and identifies only ∼200 genes with a differential distribution between the three species. L. braziliensis, contrary to Leishmania species examined so far, possesses components of a putative RNA-mediated interference pathway, telomere-associated transposable elements and spliced leader–associated SLACS retrotransposons. We show that pseudogene formation and gene loss are the principal forces shaping the different genomes. Genes that are differentially distributed between the species encode proteins implicated in host-pathogen interactions and parasite survival in the macrophage.


Nature Genetics | 2013

Multiple populations of artemisinin-resistant Plasmodium falciparum in Cambodia

Olivo Miotto; Jacob Almagro-Garcia; Magnus Manske; Bronwyn MacInnis; Susana Campino; Kirk A. Rockett; Chanaki Amaratunga; Pharath Lim; Seila Suon; Sokunthea Sreng; Jennifer M. Anderson; Socheat Duong; Chea Nguon; Char Meng Chuor; David L. Saunders; Youry Se; Chantap Lon; Mark M. Fukuda; Lucas Amenga-Etego; Abraham Hodgson; Victor Asoala; Mallika Imwong; Shannon Takala-Harrison; François Nosten; Xin-Zhuan Su; Pascal Ringwald; Frédéric Ariey; Christiane Dolecek; Tran Tinh Hien; Maciej F. Boni

We describe an analysis of genome variation in 825 P. falciparum samples from Asia and Africa that identifies an unusual pattern of parasite population structure at the epicenter of artemisinin resistance in western Cambodia. Within this relatively small geographic area, we have discovered several distinct but apparently sympatric parasite subpopulations with extremely high levels of genetic differentiation. Of particular interest are three subpopulations, all associated with clinical resistance to artemisinin, which have skewed allele frequency spectra and high levels of haplotype homozygosity, indicative of founder effects and recent population expansion. We provide a catalog of SNPs that show high levels of differentiation in the artemisinin-resistant subpopulations, including codon variants in transporter proteins and DNA mismatch repair proteins. These data provide a population-level genetic framework for investigating the biological origins of artemisinin resistance and for defining molecular markers to assist in its elimination.


BMC Genomics | 2012

Optimizing Illumina next-generation sequencing library preparation for extremely AT-biased genomes.

Samuel O. Oyola; Thomas D. Otto; Yong-ping Gu; Gareth Maslen; Magnus Manske; Susana Campino; Daniel J. Turner; Bronwyn MacInnis; Dominic P. Kwiatkowski; Harold Swerdlow; Michael A. Quail

BackgroundMassively parallel sequencing technology is revolutionizing approaches to genomic and genetic research. Since its advent, the scale and efficiency of Next-Generation Sequencing (NGS) has rapidly improved. In spite of this success, sequencing genomes or genomic regions with extremely biased base composition is still a great challenge to the currently available NGS platforms. The genomes of some important pathogenic organisms like Plasmodium falciparum (high AT content) and Mycobacterium tuberculosis (high GC content) display extremes of base composition. The standard library preparation procedures that employ PCR amplification have been shown to cause uneven read coverage particularly across AT and GC rich regions, leading to problems in genome assembly and variation analyses. Alternative library-preparation approaches that omit PCR amplification require large quantities of starting material and hence are not suitable for small amounts of DNA/RNA such as those from clinical isolates. We have developed and optimized library-preparation procedures suitable for low quantity starting material and tolerant to extremely high AT content sequences.ResultsWe have used our optimized conditions in parallel with standard methods to prepare Illumina sequencing libraries from a non-clinical and a clinical isolate (containing ~53% host contamination). By analyzing and comparing the quality of sequence data generated, we show that our optimized conditions that involve a PCR additive (TMAC), produces amplified libraries with improved coverage of extremely AT-rich regions and reduced bias toward GC neutral templates.ConclusionWe have developed a robust and optimized Next-Generation Sequencing library amplification method suitable for extremely AT-rich genomes. The new amplification conditions significantly reduce bias and retain the complexity of either extremes of base composition. This development will greatly benefit sequencing clinical samples that often require amplification due to low mass of DNA starting material.


Nature | 2012

Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing

Magnus Manske; Olivo Miotto; Susana Campino; Sarah Auburn; Jacob Almagro-Garcia; Gareth Maslen; Jack O’Brien; Abdoulaye Djimde; Ogobara K. Doumbo; Issaka Zongo; Jean-Bosco Ouédraogo; Pascal Michon; Ivo Mueller; Peter Siba; Alexis Nzila; Steffen Borrmann; Steven M. Kiara; Kevin Marsh; Hongying Jiang; Xin-Zhuan Su; Chanaki Amaratunga; Rick M. Fairhurst; Duong Socheat; François Nosten; Mallika Imwong; Nicholas J. White; Mandy Sanders; Elisa Anastasi; Dan Alcock; Eleanor Drury

Malaria elimination strategies require surveillance of the parasite population for genetic changes that demand a public health response, such as new forms of drug resistance. Here we describe methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture. Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genome-wide estimates of allele frequency distribution, population structure and linkage disequilibrium. By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population. An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome.


Nature Genetics | 2015

Genetic architecture of artemisinin-resistant Plasmodium falciparum

Olivo Miotto; Roberto Amato; Elizabeth A. Ashley; Bronwyn MacInnis; Jacob Almagro-Garcia; Chanaki Amaratunga; Pharath Lim; Daniel Mead; Samuel O. Oyola; Mehul Dhorda; Mallika Imwong; Charles J. Woodrow; Magnus Manske; Jim Stalker; Eleanor Drury; Susana Campino; Lucas Amenga-Etego; Thuy-Nhien Nguyen Thanh; Hien Tinh Tran; Pascal Ringwald; Delia Bethell; François Nosten; Aung Pyae Phyo; Sasithon Pukrittayakamee; Kesinee Chotivanich; Char Meng Chuor; Chea Nguon; Seila Suon; Sokunthea Sreng; Paul N. Newton

We report a large multicenter genome-wide association study of Plasmodium falciparum resistance to artemisinin, the frontline antimalarial drug. Across 15 locations in Southeast Asia, we identified at least 20 mutations in kelch13 (PF3D7_1343700) affecting the encoded propeller and BTB/POZ domains, which were associated with a slow parasite clearance rate after treatment with artemisinin derivatives. Nonsynonymous polymorphisms in fd (ferredoxin), arps10 (apicoplast ribosomal protein S10), mdr2 (multidrug resistance protein 2) and crt (chloroquine resistance transporter) also showed strong associations with artemisinin resistance. Analysis of the fine structure of the parasite population showed that the fd, arps10, mdr2 and crt polymorphisms are markers of a genetic background on which kelch13 mutations are particularly likely to arise and that they correlate with the contemporary geographical boundaries and population frequencies of artemisinin resistance. These findings indicate that the risk of new resistance-causing mutations emerging is determined by specific predisposing genetic factors in the underlying parasite population.


Nature Methods | 2012

Optimal enzymes for amplifying sequencing libraries.

Michael A. Quail; Thomas D. Otto; Yong Qiang Gu; Simon R. Harris; Thomas Skelly; Jacqueline McQuillan; Harold Swerdlow; Samuel O. Oyola

PCR amplification introduces bias into Illumina sequencing libraries1. Although amplification-free library preparation solves this, micrograms of starting material are usually required. Most researchers follow standard protocols using Phusion polymerase, which has processivity and fidelity advantages over most polymerases. Yet for genomics applications, our demands on DNA amplification systems often surpass their specification. Thermostable DNA polymerases such as Phusion are used to amplify mixtures of fragments, albeit with variable efficiency. Typically, (G+C)-neutral fragments are amplified with higher efficiency than extremely (G+C)-rich or (A+T)-rich fragments. The accumulation of these slight differences in amplification over multiple cycles often results in profound bias. There have been reports of using alternative DNA polymerases for Illumina library construction2, 3, 4, but these are infrequent, and comprehensive analyses are lacking. To reduce bias, we investigated many thermostable DNA polymerases and alternate reaction conditions for amplification of adapter-ligated fragments for Illumina sequencing. We expect this comparison to be relevant to other applications that involve simultaneous amplification of complex fragment mixtures.


PLOS ONE | 2013

A Method for Selectively Enriching Microbial DNA from Contaminating Vertebrate Host DNA

George R. Feehery; Erbay Yigit; Samuel O. Oyola; Bradley W. Langhorst; Victor T. Schmidt; Fiona J. Stewart; Eileen T. Dimalanta; Linda A. Amaral-Zettler; Theodore B. Davis; Michael A. Quail; Sriharsa Pradhan

DNA samples derived from vertebrate skin, bodily cavities and body fluids contain both host and microbial DNA; the latter often present as a minor component. Consequently, DNA sequencing of a microbiome sample frequently yields reads originating from the microbe(s) of interest, but with a vast excess of host genome-derived reads. In this study, we used a methyl-CpG binding domain (MBD) to separate methylated host DNA from microbial DNA based on differences in CpG methylation density. MBD fused to the Fc region of a human antibody (MBD-Fc) binds strongly to protein A paramagnetic beads, forming an effective one-step enrichment complex that was used to remove human or fish host DNA from bacterial and protistan DNA for subsequent sequencing and analysis. We report enrichment of DNA samples from human saliva, human blood, a mock malaria-infected blood sample and a black molly fish. When reads were mapped to reference genomes, sequence reads aligning to host genomes decreased 50-fold, while bacterial and Plasmodium DNA sequences reads increased 8–11.5-fold. The Shannon-Wiener diversity index was calculated for 149 bacterial species in saliva before and after enrichment. Unenriched saliva had an index of 4.72, while the enriched sample had an index of 4.80. The similarity of these indices demonstrates that bacterial species diversity and relative phylotype abundance remain conserved in enriched samples. Enrichment using the MBD-Fc method holds promise for targeted microbiome sequence analysis across a broad range of sample types.


Journal of Clinical Microbiology | 2013

Efficient depletion of host DNA contamination in malaria clinical sequencing

Samuel O. Oyola; Yong Gu; Magnus Manske; Thomas D. Otto; John O'Brien; Daniel Alcock; Bronwyn MacInnis; Matthew Berriman; Chris Newbold; Dominic P. Kwiatkowski; Harold Swerdlow; Michael A. Quail

ABSTRACT The cost of whole-genome sequencing (WGS) is decreasing rapidly as next-generation sequencing technology continues to advance, and the prospect of making WGS available for public health applications is becoming a reality. So far, a number of studies have demonstrated the use of WGS as an epidemiological tool for typing and controlling outbreaks of microbial pathogens. Success of these applications is hugely dependent on efficient generation of clean genetic material that is free from host DNA contamination for rapid preparation of sequencing libraries. The presence of large amounts of host DNA severely affects the efficiency of characterizing pathogens using WGS and is therefore a serious impediment to clinical and epidemiological sequencing for health care and public health applications. We have developed a simple enzymatic treatment method that takes advantage of the methylation of human DNA to selectively deplete host contamination from clinical samples prior to sequencing. Using malaria clinical samples with over 80% human host DNA contamination, we show that the enzymatic treatment enriches Plasmodium falciparum DNA up to ∼9-fold and generates high-quality, nonbiased sequence reads covering >98% of 86,158 catalogued typeable single-nucleotide polymorphism loci.


PLOS ONE | 2012

Functional Analysis of Leishmania Cyclopropane Fatty Acid Synthetase

Samuel O. Oyola; Krystal J. Evans; Terry K. Smith; Barbara A. Smith; James D. Hilley; Jeremy C. Mottram; Paul M. Kaye; Deborah F. Smith

The single gene encoding cyclopropane fatty acid synthetase (CFAS) is present in Leishmania infantum, L. mexicana and L. braziliensis but absent from L. major, a causative agent of cutaneous leishmaniasis. In L. infantum, usually causative agent of visceral leishmaniasis, the CFAS gene is transcribed in both insect (extracellular) and host (intracellular) stages of the parasite life cycle. Tagged CFAS protein is stably detected in intracellular L. infantum but only during the early log phase of extracellular growth, when it shows partial localisation to the endoplasmic reticulum. Lipid analyses of L. infantum wild type, CFAS null and complemented parasites detect a low abundance CFAS-dependent C19Δ fatty acid, characteristic of a cyclopropanated species, in wild type and add-back cells. Sub-cellular fractionation studies locate the C19Δ fatty acid to both ER and plasma membrane-enriched fractions. This fatty acid is not detectable in wild type L. major, although expression of the L. infantum CFAS gene in L. major generates cyclopropanated fatty acids, indicating that the substrate for this modification is present in L. major, despite the absence of the modifying enzyme. Loss of the L. infantum CFAS gene does not affect extracellular parasite growth, phagocytosis or early survival in macrophages. However, while endocytosis is also unaffected in the extracellular CFAS nulls, membrane transporter activity is defective and the null parasites are more resistant to oxidative stress. Following infection in vivo, L. infantum CFAS nulls exhibit lower parasite burdens in both the liver and spleen of susceptible hosts but it has not been possible to complement this phenotype, suggesting that loss of C19Δ fatty acid may lead to irreversible changes in cell physiology that cannot be rescued by re-expression. Aberrant cyclopropanation in L. major decreases parasite virulence but does not influence parasite tissue tropism.


PLOS ONE | 2014

A Genome Wide Association Study of Plasmodium falciparum Susceptibility to 22 Antimalarial Drugs in Kenya

Jason Patrick Wendler; John Okombo; Roberto Amato; Olivo Miotto; Steven M. Kiara; Leah Mwai; Lewa Pole; J. R. O'Brien; Magnus Manske; Dan Alcock; Eleanor Drury; Mandy Sanders; Samuel O. Oyola; Cinzia Malangone; Dushyanth Jyothi; Alistair Miles; Kirk A. Rockett; Bronwyn MacInnis; Kevin Marsh; Philip Bejon; Alexis Nzila; Dominic P. Kwiatkowski

Background Drug resistance remains a chief concern for malaria control. In order to determine the genetic markers of drug resistant parasites, we tested the genome-wide associations (GWA) of sequence-based genotypes from 35 Kenyan P. falciparum parasites with the activities of 22 antimalarial drugs. Methods and Principal Findings Parasites isolated from children with acute febrile malaria were adapted to culture, and sensitivity was determined by in vitro growth in the presence of anti-malarial drugs. Parasites were genotyped using whole genome sequencing techniques. Associations between 6250 single nucleotide polymorphisms (SNPs) and resistance to individual anti-malarial agents were determined, with false discovery rate adjustment for multiple hypothesis testing. We identified expected associations in the pfcrt region with chloroquine (CQ) activity, and other novel loci associated with amodiaquine, quinazoline, and quinine activities. Signals for CQ and primaquine (PQ) overlap in and around pfcrt, and interestingly the phenotypes are inversely related for these two drugs. We catalog the variation in dhfr, dhps, mdr1, nhe, and crt, including novel SNPs, and confirm the presence of a dhfr-164L quadruple mutant in coastal Kenya. Mutations implicated in sulfadoxine-pyrimethamine resistance are at or near fixation in this sample set. Conclusions/Significance Sequence-based GWA studies are powerful tools for phenotypic association tests. Using this approach on falciparum parasites from coastal Kenya we identified known and previously unreported genes associated with phenotypic resistance to anti-malarial drugs, and observe in high-resolution haplotype visualizations a possible signature of an inverse selective relationship between CQ and PQ.

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Magnus Manske

Wellcome Trust Sanger Institute

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Dominic P. Kwiatkowski

Wellcome Trust Sanger Institute

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Matthew Berriman

Wellcome Trust Sanger Institute

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Michael A. Quail

Wellcome Trust Sanger Institute

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Eleanor Drury

Wellcome Trust Sanger Institute

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Mandy Sanders

Wellcome Trust Sanger Institute

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