Abundant genetic variation is retained in many laboratory schistosome populations

Schistosomes are obligately sexual blood flukes that can be maintained in the laboratory using freshwater snails as intermediate and rodents as definitive hosts. The genetic composition of laboratory schistosome populations is poorly understood: whether genetic variation has been purged due to serial inbreeding or retained is unclear. We sequenced 19 - 24 parasites from each of five laboratory Schistosoma mansoni populations and compared their genomes with published exome data from four S. mansoni field populations. We found abundant genomic variation (0.897 - 1.22 million variants) within laboratory populations: these carried on average 62% (π = 1.52e-04 - 7.15e-04) less nucleotide diversity than the four field parasite populations (π = 9.06e-03 - 2.24e-03). However, the pattern of variation was very different in laboratory and field populations. Tajima's D was positive in all laboratory populations (except SmBRE), indicative of recent population bottlenecks, but negative in all field populations. Current effective population size estimates of laboratory populations were lower (2 - 258) compared to field populations (3,174 - infinity). The distance between markers at which linkage disequilibrium (LD) decayed to 0.5 was longer in laboratory populations (59 bp - 271 kb) compared to field populations (9 bp - 17.1 kb). SmBRE was the least variable laboratory population; this parasite also shows low fitness across the lifecycle, consistent with inbreeding depression. The abundant genetic variation present in most laboratory schistosome populations has several important implications: (i) measurement of parasite phenotypes, such as drug resistance, using laboratory parasite populations will determine average values and underestimate trait variation; (ii) genome-wide association studies (GWAS) can be conducted in laboratory schistosome populations by measuring phenotypes and genotypes of individual worms; (iii) genetic drift may lead to divergence in schistosome populations maintained in different laboratories. We conclude that the abundant genetic variation retained within many laboratory schistosome populations can provide valuable, untapped opportunities for schistosome research.

Authors

Institutions

Publication Details

Journal
PLoS Pathogens
Published
2025-08-20
DOI
https://doi.org/10.1371/journal.ppat.1013439
Primary Topic
Parasites and Host Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abundant genetic variation is retained in many laboratory schistosome populations

Tim Anderson, Roy N. Platt, JUTZELER Kathrin, Robbie Diaz et al.
PLoS Pathogens
Parasites and Host Interactions
article

Abundant genetic variation is retained in many laboratory schistosome populations

Tim Anderson, Roy N. Platt, JUTZELER Kathrin, Robbie Diaz, Julie C. Dunning Hotopp, Winka Le Clecʼh, Frédéric D. Chevalier, Madison Morales
article en

Abstract

Schistosomes are obligately sexual blood flukes that can be maintained in the laboratory using freshwater snails as intermediate and rodents as definitive hosts. The genetic composition of laboratory schistosome populations is poorly understood: whether genetic variation has been purged due to serial inbreeding or retained is unclear. We sequenced 19 - 24 parasites from each of five laboratory Schistosoma mansoni populations and compared their genomes with published exome data from four S. mansoni field populations. We found abundant genomic variation (0.897 - 1.22 million variants) within laboratory populations: these carried on average 62% (π = 1.52e-04 - 7.15e-04) less nucleotide diversity than the four field parasite populations (π = 9.06e-03 - 2.24e-03). However, the pattern of variation was very different in laboratory and field populations. Tajima's D was positive in all laboratory populations (except SmBRE), indicative of recent population bottlenecks, but negative in all field populations. Current effective population size estimates of laboratory populations were lower (2 - 258) compared to field populations (3,174 - infinity). The distance between markers at which linkage disequilibrium (LD) decayed to 0.5 was longer in laboratory populations (59 bp - 271 kb) compared to field populations (9 bp - 17.1 kb). SmBRE was the least variable laboratory population; this parasite also shows low fitness across the lifecycle, consistent with inbreeding depression. The abundant genetic variation present in most laboratory schistosome populations has several important implications: (i) measurement of parasite phenotypes, such as drug resistance, using laboratory parasite populations will determine average values and underestimate trait variation; (ii) genome-wide association studies (GWAS) can be conducted in laboratory schistosome populations by measuring phenotypes and genotypes of individual worms; (iii) genetic drift may lead to divergence in schistosome populations maintained in different laboratories. We conclude that the abundant genetic variation retained within many laboratory schistosome populations can provide valuable, untapped opportunities for schistosome research.

PLoS PathogensVol. 21(8)
University of Maryland, Baltimore (US), Texas Biomedical Research Institute (US), The University of Texas at San Antonio Health Science Center (US)
Texas Biomedical Research Institute, National Institutes of Health, National Institute of Allergy and Infectious Diseases, National Center for Research Resources, Office of Research Infrastructure Programs, National Institutes of Health
Openalex Percentile: Top 78%
Parasites and Host Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.