scholarly journals Sensitive, Highly Multiplexed Sequencing of Microhaplotypes From the Plasmodium falciparum Heterozygome

2020 ◽  
Author(s):  
Sofonias K Tessema ◽  
Nicholas J Hathaway ◽  
Noam B Teyssier ◽  
Maxwell Murphy ◽  
Anna Chen ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Low Cost ◽  
Dried Blood Spots ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
Flexible Tool ◽  
High Coverage ◽  
Targeted Next Generation Sequencing ◽  
Genomic Regions ◽  
High Diversity

Abstract Background Targeted next-generation sequencing offers the potential for consistent, deep coverage of information-rich genomic regions to characterize polyclonal Plasmodium falciparum infections. However, methods to identify and sequence these genomic regions are currently limited. Methods A bioinformatic pipeline and multiplex methods were developed to identify and simultaneously sequence 100 targets and applied to dried blood spot (DBS) controls and field isolates from Mozambique. For comparison, whole-genome sequencing data were generated for the same controls. Results Using publicly available genomes, 4465 high-diversity genomic regions suited for targeted sequencing were identified, representing the P. falciparum heterozygome. For this study, 93 microhaplotypes with high diversity (median expected heterozygosity = 0.7) were selected along with 7 drug resistance loci. The sequencing method achieved very high coverage (median 99%), specificity (99.8%), and sensitivity (90% for haplotypes with 5% within sample frequency in dried blood spots with 100 parasites/µL). In silico analyses revealed that microhaplotypes provided much higher resolution to discriminate related from unrelated polyclonal infections than biallelic single-nucleotide polymorphism barcodes. Conclusions The bioinformatic and laboratory methods outlined here provide a flexible tool for efficient, low-cost, high-throughput interrogation of the P. falciparum genome, and can be tailored to simultaneously address multiple questions of interest in various epidemiological settings.

scholarly journals Sensitive, highly multiplexed sequencing of microhaplotypes from the Plasmodium falciparum heterozygome

2020 ◽  
Author(s):  
Sofonias K Tessema ◽  
Nicholas J Hathaway ◽  
Noam B Teyssier ◽  
Maxwell Murphy ◽  
Anna Chen ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Low Cost ◽  
Flexible Tool ◽  
High Coverage ◽  
Laboratory Methods ◽  
Targeted Next Generation Sequencing ◽  
Sequencing Method ◽  
Sample Frequency ◽  
Genomic Regions ◽  
High Diversity

AbstractBackgroundTargeted next generation sequencing offers the potential for consistent, deep coverage of information rich genomic regions to characterize polyclonal Plasmodium falciparum infections. However, methods to identify and sequence these genomic regions are currently limited.MethodsA bioinformatic pipeline and multiplex methods were developed to identify and simultaneously sequence 100 targets and applied to dried blood spot (DBS) controls and field isolates from Mozambique. For comparison, WGS data were generated for the same controls.ResultsUsing publicly available genomes, 4465 high diversity genomic regions suited for targeted sequencing were identified, representing the P. falciparum heterozygome. For this study, 93 microhaplotypes with high diversity (median HE = 0.7) were selected along with 7 drug resistance loci. The sequencing method achieved very high coverage (median 99%), specificity (99.8%) and sensitivity (90% for haplotypes with 5% within sample frequency in DBS with 100 parasites/µL). In silico analyses revealed that microhaplotypes provided much higher resolution to discriminate related from unrelated polyclonal infections than biallelic SNP barcodes.DiscussionThe bioinformatic and laboratory methods outlined here provide a flexible tool for efficient, low-cost, high throughput interrogation of the P. falciparum genome, and can be tailored to simultaneously address multiple questions of interest in various epidemiological settings.

scholarly journals Identity-by-descent analyses for measuring population dynamics and selection in recombining pathogens

2016 ◽  
Author(s):  
Lyndal Henden ◽  
Stuart Lee ◽  
Ivo Mueller ◽  
Alyssa Barry ◽  
Melanie Bahlo
Keyword(s):  
Drug Resistance ◽  
Positive Selection ◽  
Whole Genome Sequencing Data ◽  
Population Bottlenecks ◽  
Human Pathogens ◽  
Sequencing Data ◽  
Antimalarial Drug Resistance ◽  
Genomic Regions ◽  
Genomic Locations ◽  
Critical Regions

AbstractIdentification of genomic regions that are identical by descent (IBD) has proven useful for human genetic studies where analyses have led to the discovery of familial relatedness and fine-mapping of disease critical regions. Unfortunately however, IBD analyses have been underutilized inanalysis of other organisms, including human pathogens. This is in part due to the lack of statistical methodologies for non-diploid genomes in addition to the added complexity of multiclonal infections. As such, we have developed an IBD methodology, called isoRelate, for analysis of haploid recombining microorganisms in the presence of multiclonal infections. Using the inferred IBD status at genomic locations, we have also developed a novel statistic for identifying loci under positive selection and propose relatedness networks as a means of exploring shared haplotypes within populations. We evaluate the performance of our methodologies for detecting IBD and selection, including comparisons with existing tools, then perform an exploratory analysis of whole genome sequencing data from a global Plasmodium falciparum dataset of more than 2500 genomes. This analysis identifies Southeast Asia as havingmany highly related isolates, possibly as a result of both reduced transmission from intensified control efforts and population bottlenecks following the emergence of antimalarial drug resistance. Many signals of selection are also identified, most of which overlap genes that are known to be associated with drug resistance, in addition to two novel signals observed in multiple countries that have yet to be explored in detail. Additionally, we investigate relatedness networks over the selected loci and determine that one of these sweeps has spread between continents while the other has arisen independently in different countries. IBD analysis of microorganisms using isoRelate can be used for exploring population structure, positive selection and haplotype distributions, and will be a valuable tool for monitoring disease control and elimination efforts of many diseases.

scholarly journals Drug resistance profile and clonality of Plasmodium falciparum parasites in Cape Verde: the 2017 malaria outbreak

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Silvania Da Veiga Leal ◽  
Daniel Ward ◽  
Susana Campino ◽  
Ernest Diez Benavente ◽  
Amy Ibrahim ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Family Members ◽  
Cape Verde ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
High Level

Abstract Background Cape Verde is an archipelago located off the West African coast and is in a pre-elimination phase of malaria control. Since 2010, fewer than 20 Plasmodium falciparum malaria cases have been reported annually, except in 2017, when an outbreak in Praia before the rainy season led to 423 autochthonous cases. It is important to understand the genetic diversity of circulating P. falciparum to inform on drug resistance, potential transmission networks and sources of infection, including parasite importation. Methods Enrolled subjects involved malaria patients admitted to Dr Agostinho Neto Hospital at Praia city, Santiago island, Cape Verde, between July and October 2017. Neighbours and family members of enrolled cases were assessed for the presence of anti-P. falciparum antibodies. Sanger sequencing and real-time PCR was used to identify SNPs in genes associated with drug resistance (e.g., pfdhfr, pfdhps, pfmdr1, pfk13, pfcrt), and whole genome sequencing data were generated to investigate the population structure of P. falciparum parasites. Results The study analysed 190 parasite samples, 187 indigenous and 3 from imported infections. Malaria cases were distributed throughout Praia city. There were no cases of severe malaria and all patients had an adequate clinical and parasitological response after treatment. Anti-P. falciparum antibodies were not detected in the 137 neighbours and family members tested. No mutations were detected in pfdhps. The triple mutation S108N/N51I/C59R in pfdhfr and the chloroquine-resistant CVIET haplotype in the pfcrt gene were detected in almost all samples. Variations in pfk13 were identified in only one sample (R645T, E668K). The haplotype NFD for pfmdr1 was detected in the majority of samples (89.7%). Conclusions Polymorphisms in pfk13 associated with artemisinin-based combination therapy (ACT) tolerance in Southeast Asia were not detected, but the majority of the tested samples carried the pfmdr1 haplotype NFD and anti-malarial-associated mutations in the the pfcrt and pfdhfr genes. The first whole genome sequencing (WGS) was performed for Cape Verdean parasites that showed that the samples cluster together, have a very high level of similarity and are close to other parasites populations from West Africa.

scholarly journals Drug resistance profile and clonality of Plasmodium falciparum parasites in Cape Verde: The 2017 malaria outbreak

2021 ◽  
Author(s):  
Silvânia da Veiga Leal ◽  
Daniel Ward ◽  
Susana Campino ◽  
Ernest Diez Benavente ◽  
Amy Ibrahim ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Family Members ◽  
Cape Verde ◽  
Whole Genome Sequencing Data ◽  
Cape Verdean ◽  
Sequencing Data ◽  
Drug Resistance Profile ◽  
High Level ◽  
Almost All

Abstract Background Cape Verde is an archipelago located off the West African coast, and is in a pre-elimination phase of malaria control. Since 2010, less than 20 Plasmodium falciparum malaria cases have been reported annually, except in 2017, when an outbreak in Praia before the rainy season led to 423 autochthonous cases. It is important to understand the genetic diversity of circulating P. falciparum to inform on drug resistance, potential transmission networks, and sources of infection, including parasite importation.Methods Enrolled subjects involved malaria patients admitted to Dr. Agostinho Neto Hospital at Praia city, Santiago island, Cape Verde, between July and October 2017. Neighbours and family members of enrolled cases were assessed for the presence of anti-P. falciparum antibodies. Sanger sequencing and real time PCR was used to identify SNPs in genes associated with drug resistance (e.g. pfdhfr, pfdhps, pfmdr1, pfk13, pfcrt), and whole genome sequencing data was generated to investigate the population structure of P. falciparum parasites.Results We analysed 190 parasite samples, 187 indigenous and three from imported infections. Malaria cases were distributed throughout Praia city. There were no cases of severe malaria, and all patients had an adequate clinical and parasitological response after treatment. Anti-P. falciparum antibodies were not detected in the 137 neighbours and family members tested. No mutations were detected in pfdhps. The triple mutation S108N/N51I/C59R in pfdhfr and the chloroquine resistant CVIET haplotype in the pfcrt gene were detected in almost all samples. Variations in pfk13 were identified in only one sample (R645T, E668K). The haplotype NFD for pfmdr1 was detected in the majority of samples (89.7%).Conclusions Polymorphisms in pfk13 associated with ACTs tolerance in Southeast Asia were not detected, but the majority of the tested samples carried the pfmdr1 haplotype NFD and antimalarial associated mutations in the the pfcrt and pfdhfr genes. We performed the first WGS for Cape Verdean parasites that showed that the samples cluster together, have a very high level of similarity and are close to other parasites populations from West Africa.

scholarly journals Prevalence and factors associated with carriage of Pfmdr1 polymorphisms among pregnant women receiving intermittent preventive treatment with sulfadoxine-pyrimethamine (IPTp-SP) and artemether-lumefantrine for malaria treatment in Burkina Faso

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Hamtandi Magloire Natama ◽  
Rouamba Toussaint ◽  
Djamina Line Cerine Bazié ◽  
Sékou Samadoulougou ◽  
Maminata Coulibaly-Traoré ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Burkina Faso ◽  
Pregnant Women ◽  
Mutant Allele ◽  
Intermittent Preventive Treatment ◽  
Preventive Treatment ◽  
Dried Blood Spots ◽  
Nucleotide Polymorphisms ◽  
High Coverage ◽  
Factors Associated

Abstract Background Single nucleotide polymorphisms occurring in the Plasmodium falciparum multidrug resistant gene 1 (pfmdr1) are known to be associated with aminoquinoline resistance and, therefore, represent key P. falciparum markers for monitoring resistance both in susceptible groups (children under 5 years old and pregnant women) and in the general population. This study aimed to determine prevalence and factors associated with the carriage of pfmdr1 N86Y, Y184F and D1246Y polymorphisms among pregnant women in a setting of high malaria transmission in Burkina Faso. Methods Plasmodium falciparum isolates were collected at the first antenatal care visit (ANC-1) as well as at delivery from pregnant women participating in the COSMIC trial (NTC01941264), which assessed malaria preventive interventions during pregnancy in the Nanoro Health District. Here, pregnant women received intermittent preventive treatment with sulfadoxine-pyrimethamine (IPTp-SP) and malaria infections and/or diseases were treated using artemether-lumefantrine (AL) during the trial. Parasite DNA was extracted from dried blood spots and the presence of pfmdr1 mutations at positions 86, 184 and 1246 was determined using nested PCR, followed by restriction fragment length polymorphism (RFLP) analysis. Results A prevalence of 13.2% (20/151) and 12.1% (14/116) of the pfmdr1 86Y mutant allele was found at ANC-1 and at delivery, respectively, while no mutant allele was observed for Y184F and D1246Y codons at both ANC-1 and at delivery. There were no significant factors associated with pfmdr1 86Y mutant allele carriage at ANC-1. However, malaria infections at delivery with a parasite density above the median (2237.2 (IQR: 613.5–11,425.7) parasites/µl) was associated with an increase risk of pfmdr1 86Y mutant allele carriage (AOR = 5.5 (95% CI  1.07–28.0); P = 0.04). In contrast, both three or more IPTp-SP doses (AOR = 0.25 (95% CI 0.07–0.92); P = 0.04) and one or more AL treatment (AOR = 0.25 (95% CI 0.07–0.89); P = 0.03) during pregnancy were associated with a significant reduce risk of pfmdr1 86Y mutant allele carriage at delivery. Conclusion These findings suggest that both high coverage of IPTp-SP and the use of AL for the treatment of malaria infection/disease during pregnancy select for pfmdr1 N86 wild-type allele at delivery.

scholarly journals Insight into the genomic history of the Near East from whole-genome sequences and genotypes of Yemenis

2019 ◽  
Author(s):  
Marc Haber ◽  
Riyadh Saif-Ali ◽  
Molham Al-Habori ◽  
Yuan Chen ◽  
Daniel E. Platt ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Bronze Age ◽  
Near East ◽  
African Ancestry ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
High Coverage ◽  
The North ◽  
The Bronze Age

AbstractWe report high-coverage whole-genome sequencing data from 46 Yemeni individuals as well as genome-wide genotyping data from 169 Yemenis from diverse locations. We use this dataset to define the genetic diversity in Yemen and how it relates to people elsewhere in the Near East. Yemen is a vast region with substantial cultural and geographic diversity, but we found little genetic structure correlating with geography among the Yemenis – probably reflecting continuous movement of people between the regions. African ancestry from admixture in the past 800 years is widespread in Yemen and is the main contributor to the country’s limited genetic structure, with some individuals in Hudayda and Hadramout having up to 20% of their genetic ancestry from Africa. In contrast, individuals from Maarib appear to have been genetically isolated from the African gene flow and thus have genomes likely to reflect Yemen’s ancestry before the admixture. This ancestry was comparable to the ancestry present during the Bronze Age in the distant Northern regions of the Near East. After the Bronze Age, the South and North of the Near East therefore followed different genetic trajectories: in the North the Levantines admixed with a Eurasian population carrying steppe ancestry whose impact never reached as far south as the Yemen, where people instead admixed with Africans leading to the genetic structure observed in the Near East today.

scholarly journals Rapid Genotype Refinement for Whole-Genome Sequencing Data using Multi-Variate Normal Distributions

2015 ◽  
Author(s):  
Rudy Arthur ◽  
Jared O'Connell ◽  
Ole Schulz-Trieglaff ◽  
Anthony J Cox
Keyword(s):  
Markov Models ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
High Coverage ◽  
Multivariate Gaussian Distribution ◽  
Data Set ◽  
Normal Distributions ◽  
Computationally Expensive ◽  
Low Coverage

Whole-genome low-coverage sequencing has been combined with linkage-disequilibrium (LD) based genotype refinement to accurately and cost-effectively infer genotypes in large cohorts of individuals. Most genotype refinement methods are based on hidden Markov models, which are accurate but computationally expensive. We introduce an algorithm that models LD using a simple multivariate Gaussian distribution. The key feature of our algorithm is its speed, it is hundreds of times faster than other methods on the same data set and its scaling behaviour is linear in the number of samples. We demonstrate the performance of the method on both low-coverage and high-coverage samples.

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