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

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          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.

          Abstract

          A novel bioinformatics pipeline was created to select and characterize the most diverse and tractable short-range sequences (microhaplotypes) in the Plasmodium falciparum genome, followed by a robust polymerase chain reaction–based multiplexing method to simultaneously amplify and sequence these microhaplotypes.

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          Most cited references50

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          Tandem repeats finder: a program to analyze DNA sequences.

          G. Benson (1999)
          A tandem repeat in DNA is two or more contiguous, approximate copies of a pattern of nucleotides. Tandem repeats have been shown to cause human disease, may play a variety of regulatory and evolutionary roles and are important laboratory and analytic tools. Extensive knowledge about pattern size, copy number, mutational history, etc. for tandem repeats has been limited by the inability to easily detect them in genomic sequence data. In this paper, we present a new algorithm for finding tandem repeats which works without the need to specify either the pattern or pattern size. We model tandem repeats by percent identity and frequency of indels between adjacent pattern copies and use statistically based recognition criteria. We demonstrate the algorithm's speed and its ability to detect tandem repeats that have undergone extensive mutational change by analyzing four sequences: the human frataxin gene, the human beta T cellreceptor locus sequence and two yeast chromosomes. These sequences range in size from 3 kb up to 700 kb. A World Wide Web server interface atc3.biomath.mssm.edu/trf.html has been established for automated use of the program.
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            From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.

            This unit describes how to use BWA and the Genome Analysis Toolkit (GATK) to map genome sequencing data to a reference and produce high-quality variant calls that can be used in downstream analyses. The complete workflow includes the core NGS data processing steps that are necessary to make the raw data suitable for analysis by the GATK, as well as the key methods involved in variant discovery using the GATK.
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              Aligning sequence reads, clone sequences and assembly Contigs with BWA-MEM

              L H, H Li, H. Li (2013)
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                Author and article information

                Journal
                J Infect Dis
                J Infect Dis
                jid
                The Journal of Infectious Diseases
                Oxford University Press (US )
                0022-1899
                1537-6613
                01 April 2022
                25 August 2020
                25 August 2020
                : 225
                : 7
                : 1227-1237
                Affiliations
                [1 ] EPPIcenter Research Program, Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California , San Francisco, California, USA
                [2 ] Department of Medicine, University of Massachusetts Medical School , Worcester, Massachusetts, USA
                [3 ] Department of Pathology and Laboratory Medicine, Brown University , Providence, Rhode Island, USA
                [4 ] Centro de Investigação em Saúde de Manhiça , Manhiça, Mozambique
                [5 ] Clinton Health Access Initiative , Maputo, Mozambique
                [6 ] Chan Zuckerberg Biohub , San Francisco, California, USA
                Author notes

                S. K. T. and N. J. H. contributed equally to this work.

                J. A. B. and B. G. contributed equally to this work.

                Correspondence: Nicholas J. Hathaway, MD, PhD, University of Massachusetts Medical School, 55 Lake Ave N, Worcester, MA 01655 ( nicholas.hathaway@ 123456umassmed.edu ).
                Author information
                https://orcid.org/0000-0001-9639-2894
                Article
                jiaa527
                10.1093/infdis/jiaa527
                8974853
                32840625
                e9f08fa9-d40a-41e7-822e-be2dfafc11da
                © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 May 2020
                : 12 August 2020
                : 24 August 2020
                : 03 October 2020
                Page count
                Pages: 11
                Funding
                Funded by: Bill and Melinda Gates Foundation, DOI 10.13039/100000865;
                Award ID: OPP1132226
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Award ID: 098051
                Award ID: 090770
                Categories
                Major Articles and Brief Reports
                Parasites
                AcademicSubjects/MED00290

                Infectious disease & Microbiology
                malaria,plasmodium falciparum,molecular epidemiology,microhaplotype,multiplex pcr,targeted amplicon sequencing,whole genome sequencing,complexity of infection

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