In:
PLOS Neglected Tropical Diseases, Public Library of Science (PLoS), Vol. 15, No. 1 ( 2021-1-6), p. e0009020-
Abstract:
Genomic approaches hold great promise for resolving unanswered questions about transmission patterns and responses to control efforts for schistosomiasis and other neglected tropical diseases. However, the cost of generating genomic data and the challenges associated with obtaining sufficient DNA from individual schistosome larvae (miracidia) from mammalian hosts have limited the application of genomic data for studying schistosomes and other complex macroparasites. Here, we demonstrate the feasibility of utilizing whole genome amplification and sequencing (WGS) to analyze individual archival miracidia. As an example, we sequenced whole genomes of 22 miracidia from 11 human hosts representing two villages in rural Sichuan, China, and used these data to evaluate patterns of relatedness and genetic diversity. We also down-sampled our dataset to test how lower coverage sequencing could increase the cost effectiveness of WGS while maintaining power to accurately infer relatedness. Collectively, our results illustrate that population-level WGS datasets are attainable for individual miracidia and represent a powerful tool for ultimately providing insight into overall genetic diversity, parasite relatedness, and transmission patterns for better design and evaluation of disease control efforts.
Type of Medium:
Online Resource
ISSN:
1935-2735
DOI:
10.1371/journal.pntd.0009020
DOI:
10.1371/journal.pntd.0009020.g001
DOI:
10.1371/journal.pntd.0009020.g002
DOI:
10.1371/journal.pntd.0009020.g003
DOI:
10.1371/journal.pntd.0009020.g004
DOI:
10.1371/journal.pntd.0009020.t001
DOI:
10.1371/journal.pntd.0009020.t002
DOI:
10.1371/journal.pntd.0009020.t003
DOI:
10.1371/journal.pntd.0009020.s001
DOI:
10.1371/journal.pntd.0009020.s002
DOI:
10.1371/journal.pntd.0009020.s003
DOI:
10.1371/journal.pntd.0009020.s004
DOI:
10.1371/journal.pntd.0009020.s005
DOI:
10.1371/journal.pntd.0009020.s006
DOI:
10.1371/journal.pntd.0009020.s007
DOI:
10.1371/journal.pntd.0009020.s008
DOI:
10.1371/journal.pntd.0009020.s009
DOI:
10.1371/journal.pntd.0009020.s010
DOI:
10.1371/journal.pntd.0009020.s011
DOI:
10.1371/journal.pntd.0009020.s012
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2429704-5
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