2020
DOI: 10.1101/2020.02.25.964536
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Sensitive, highly multiplexed sequencing of microhaplotypes from thePlasmodium falciparumheterozygome

Abstract: The first two authors contributed equally to this work. ✝ The last two authors contributed equally to this work. AbstractBackground: 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 1… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
36
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 15 publications
(36 citation statements)
references
References 47 publications
0
36
0
Order By: Relevance
“…Multiplex PCR has been shown to be an efficient and low-cost method to detect Plasmodium falciparum infections, with high coverage (median 99%), specificity (99.8%) and sensitivity. Moreover, this solution can be tailored to simultaneously address multiple questions of interest within various epidemiological settings 42 . Similar to a recently described metagenomic approach for SARS-CoV-2 identification 43 , we also establish a user-friendly multiplex-PCR-based metagenomic method that is not only able to detect SARS-CoV-2, but could also be applied for the identification of significant sequence mutations within known viruses and to uncover novel pathogens with a limited sequencing depth of approximately 1 million reads.…”
Section: Introductionmentioning
confidence: 99%
“…Multiplex PCR has been shown to be an efficient and low-cost method to detect Plasmodium falciparum infections, with high coverage (median 99%), specificity (99.8%) and sensitivity. Moreover, this solution can be tailored to simultaneously address multiple questions of interest within various epidemiological settings 42 . Similar to a recently described metagenomic approach for SARS-CoV-2 identification 43 , we also establish a user-friendly multiplex-PCR-based metagenomic method that is not only able to detect SARS-CoV-2, but could also be applied for the identification of significant sequence mutations within known viruses and to uncover novel pathogens with a limited sequencing depth of approximately 1 million reads.…”
Section: Introductionmentioning
confidence: 99%
“…Other genotyping techniques that are able to resolve multiallelic loci, such as multiplex amplicon or "microhaplotype" sequencing, can provide rich data from polyclonal infections and leverage current sequencing technologies to more easily allow evaluation of larger numbers of loci, providing higher resolution to evaluate transmission particularly in moderate-high transmission settings. (25,(31)(32)(33)(34) While these methods are more expensive and require more extensive laboratory and bioinformatics structure than the methods used in this study, they may be preferred techniques in the future as sequencing costs continue to decline.…”
Section: Discussionmentioning
confidence: 99%
“…We compared AMPLseq and 4CAST to two previously published AmpSeq panels for malaria molecular surveillance, Paragon HeOME v1 (Tessema et al, 2020) and SpotMalaria v2 (Jacob et al, 2021) .…”
Section: Comparator Panelsmentioning
confidence: 99%
“…We used the R package paneljudge to assess in silico the impact of choosing a specific genotyping panel for relatedness inference. Considering the choice of panel, we evaluated relatedness estimation from data simulated on our 4CAST and AMPLseq panels, the SpotMalaria v2 (Jacob et al, 2021) and Paragon HeOME v1 (Tessema et al, 2020) amplicon panels, and a barcode of 24 SNPs. When data were simulated using microhaplotype frequency estimates of Senegalese parasites, we found that almost all estimates of unrelated or clonal pairs were correctly classified, regardless of the panel ( Fig.…”
Section: Evaluation Of Panel Performance For Relatednessmentioning
confidence: 99%
See 1 more Smart Citation