Biology subjects

Ferdig, M. T.

Publications and source records attributed to Ferdig, M. T..

15 recordsLinked to original sources

bioRxiv2026

Experimental evolution and functional genetics identify KIC1 as a determinant of reduced artemisinin susceptibility in Bangladeshi Plasmodium falciparum

Bangladesh has greatly reduced malaria transmission, but persistent Plasmodium falciparum transmission in the Chittagong Hill Tracts (CHT), bordering Myanmar, remains a concern for elimination. Emerging artemisinin resistance could threaten remaining control efforts, making it important to identify determinants of reduced artemisinin susceptibility in CHT parasites. We combined long-term in vitro dihydroartemisinin (DHA) selection, whole-genome sequencing, functional genetics, and analysis of contemporaneous clinical isolates to define artemisinin-response variation in CHT P. falciparum. Starting with a 2018 patient-isolated, artemisinin-sensitive CHT clone, three independent cultures were exposed over 18 months to 27 cycles of stepwise DHA pressure up to 1600 nM. This generated CHT-R lines with elevated RSA survival relative to parental/sibling controls (4.0-6.5% versus <1%; 7-11-fold increase) and faster post-DHA recovery than CHT-S-sib (5.2 {+/-} 0.3 versus 10.1 {+/-} 0.57 days). Whole-genome sequencing identified convergent disruption of PF3D7_0606000, encoding KIC1 (Kelch13 Interacting Candidate1), a protein linked to the Kelch13-associated endocytic compartment; no pfkelch13 mutations emerged. Independent DHA-selected lines acquired distinct stop-gain or frameshift mutations predicted to truncate KIC1, and targeted pfkic1 disruption in parental CHT-S increased RSA survival and accelerated recovery, functionally validating KIC1 as a contributor to reduced artemisinin susceptibility. To link the in vitro selection findings to naturally circulating parasites, we tested whether pfkic1 variation was associated with artemisinin response in an independent set of CHT isolates. We integrated newly generated RSA measurements and whole-genome variation from lab adapted field isolates all carrying wild-type pfkelch13, with patient clearance values from our CHT artemether-lumefantrine efficacy study. Among 22 isolates, RSA survival ranged from 0.00 to 6.44%, with 12 exceeding the 1% in vitro ART-R threshold and was associated with PC50, the time required to clear 50% of the initial parasite density, but not parasite clearance half-life (PCt1/2). In this field-isolate dataset, targeted pfkic1 gene-score analysis and elastic-net modeling provided supportive evidence that natural variation at the pfkic1 locus is associated with PC50 and RSA survival; an exploratory genome-wide gene-score scan nominated additional candidate loci for future study. Together, these findings identify KIC1 as a functionally validated determinant of reduced artemisinin susceptibility in a Bangladeshi parasite background and suggest that artemisinin-response variation in CHT parasites may involve perturbation of the Kelch13-associated endocytic pathway beyond canonical pfkelch13 mutations.

microbiology↗

bioRxiv2026

A Multidimensional Analysis of the Bimodal Piperaquine Response in Plasmodium falciparum

Malaria remains a pressing global health challenge, with the continued emergence of resistance threatening the long-term efficacy of artemisinin-based combination therapies (ACTs). Piperaquine (PPQ), an important partner drug in artemisinin-based combination therapies exhibits a unique bimodal dose-response phenotype associated with reduced susceptibility, yet the biological mechanism underlying this phenotype remains unknown. This phenotype is strongly associated with mutations in pfcrt and copy number amplification of plasmepsin II/III (pm II/III). Given that plasmepsins play a central role in hemoglobin degradation within the blood stage parasite digestive vacuole, and that PPQ accumulates within this compartment and perturbs heme detoxification, this phenotype likely reflects alterations in fundamental biological processes alongside drug-specific effects. We used isogenic PPQ-resistant parasite clones differing only in pm II/III copy number to integrate phenotypes with metabolic changes, and transcriptional responses to ascertain the impact of genotype combinations on parasite response to PPQ. Across increasing PPQ concentrations, parasites with elevated pm II/III copy number exhibited distinct metabolic responses compared to single-copy parasites, specifically, an altered abundance of peptides derived from hemoglobin degradation, directly implicating a core biological pathway long associated with plasmepsin function. The combination of metabolic and transcriptional data with phenotypic measurements supports a model in which increased plasmepsin expression enhances the parasites capacity to sustain hemoglobin digestion and associated metabolic activity under high PPQ concentrations. This points to a mechanistic basis for continued parasite survival, indicating that changes in hemoglobin processing within the digestive vacuole contribute to the bimodal response to PPQ. Molecular dynamics simulations further support a direct interaction between PPQ and PM II/III, as a mechanism by which these proteins impact PPQ response dynamics through both modulation of hemoglobin digestion and protein-drug interactions within the digestive vacuole.

molecular biology↗

bioRxiv2026

Functional validation of the Plasmodium falciparum K13 C580Y mutation in recently collected Ethiopian isolates

Recent genomic investigation in Ethiopia identified the first detection of the Plasmodium falciparum kelch13 (K13) C580Y substitution in the Horn of Africa. To assess its functional impact, we introduced C580Y into two recently collected Ethiopian clinical isolates using CRISPR-Cas9 genome editing. Ring-stage survival assays showed significantly elevated in vitro dihydroartemisinin (DHA) survival in edited parasites relative to isogenic controls, demonstrating that C580Y confers artemisinin tolerance in contemporary Ethiopian parasite genetic backgrounds.

microbiology↗

bioRxiv2025

Advantages of outcrossing in Plasmodium falciparum: insights from genetic crosses using fluorescent labelled parasites

Malaria parasites are obligately sexual hermaphrodite protozoans with gamete fusion occurring in the mosquito midgut, followed by meiosis and recombination. Malaria parasite populations show a spectrum of populations structures ranging from predominantly selfing to highly outcrossed. However, the fitness consequences of selfing and outcrossing for malaria parasites are poorly understood. This project was designed to investigate the dynamics of gamete fusion within the mosquito midgut and the relative fitness of selfed and outcrossed zygotes. We generated florescent-labelled clones of NF54 (mCherry), an African parasite, and NHP4026 (GFP), a Thai parasite, crossed these parasites, and scored genotypes of 8540 oocysts from 435 mosquitoes sampled from 7 to 14 days post infection. We observed decreasing proportions of outcrossed oocysts and increasing levels of inbreeding over the course of the infection in two independently replicated crosses. These results are consistent with the faster maturation of transmissible sporozoites derived from outcrossed compared with selfed oocysts. Our results suggest a substantial outcrossing advantage, perhaps because this allows for the removal of deleterious mutations accumulated during asexual parasite replication in the vertebrate host. We also found that selfed NF54 oocysts were larger than outcrossed or selfed NHP4026 oocysts, which may influence production of sporozoites and onward transmission. We conclude that fluorescent labelled parasites provide clear resolution of mating patterns, temporal dynamics and transmission potential of malaria parasites in mosquitoes. Importantly, faster maturation of outcrossed parasites can maximize levels of recombination in transmitted malaria parasite populations.

genetics↗

bioRxiv2025

Globally prevalent Kelch13 mutations increase partial artemisinin resistance and fitness in Bangladeshi Plasmodium falciparum parasites

Artemisinin partial resistance (ArtR), mediated by Kelch13 (K13) gene mutations in Plasmodium falciparum, has caused delayed parasite clearance and, together with partner drug resistance, treatment failures in the Greater Mekong Subregion (GMS). The Chittagong Hill Tracts (CHTs), located in southeastern Bangladesh and bordering Myanmar and India, regions with prevalent K13 mutations, account for approximately 90% of the countrys malaria infections but have not yet reported ArtR-causing K13 mutations. Importantly, however, some isolates from the CHTs have demonstrated moderate in vitro ArtR in the absence of K13 mutations. To assess the potential threat of K13-mediated ArtR in Bangladesh, we proactively evaluated the impact of three prevalent neighboring K13 mutations (F446I, R561H, and C580Y) on ArtR and parasite fitness in parasites isolated from the CHTs. We edited these mutations into two distinct genetic backgrounds: an artemisinin-sensitive strain (CHT-S) and a K13-independent, moderately resistant strain (CHT-R). In these edited lines, we then evaluated ArtR levels and fitness using ring-stage survival assays (RSA), post-drug treatment recovery assays, and competitive fitness assays against isogenic control strains. Prior to genome editing, both isolates were characterized for baseline drug susceptibility, resistance-associated mutations, and population structure. We found that C580Y and R561H mutations, but not F446I, confer increased in vitro ArtR in the CHT-R background already exhibiting K13-independent moderate resistance. All three mutations incurred minimal or no fitness costs in both genetic backgrounds. Notably, R561H, the dominant allele at the Thai-Myanmar border and currently expanding in Rwanda, mediates extreme resistance in the CHT-R background, with mean RSA survival rates of 30.9{+/-}1.9%, an unprecedented resistance level among K13-engineered lines. R561H also showed fitness advantages (0.5% per generation) and the highest growth recovery post-treatment. This represents the first experimental study modeling this K13 mediated ArtR risk in Bangladeshi parasites. In conclusion, we found that indigenous P. falciparum isolates in the CHTs possess inherent genetic potential to sustain high-level ArtR and fitness advantages if K13 mutations emerge, raising urgent concerns for containment and surveillance strategies during Bangladeshs malaria elimination phase.

microbiology↗

bioRxiv2024

Measuring Growth, Resistance and Recovery after Artemisinin Treatment of Plasmodium falciparum in a semi-high-throughput Assay

BackgroundArtemisinin partial resistance (ART-R) has spread throughout Southeast Asia and mutations in pfKelch13, the molecular marker of resistance, are widely reported in East Africa. Effective in vitro assays and robust phenotypes are crucial for monitoring populations for the emergence and spread of resistance. The recently developed extended Recovery Ring-stage Survival Assay used a qPCR-based readout to reduce the labor intensiveness for in vitro phenotyping of ART-R and improved correlation with the clinical phenotype of ART-R. Here, we extend and refine this assay to include measurements of parasite growth and recovery after drug exposure. Clinical isolates and progeny from two genetic crosses were used to optimize and validate the reliability of a straight-from-blood, SYBR Green-based qPCR protocol in a 96-well plate format to accurately measure phenotypes for Growth, Resistance, and Recovery. ResultsThe assay determined growth between 6 h and 96 h, resistance at 120 h, and recovery from 120 h and 192 h. Growth can be accurately captured by qPCR and is shown by reproduction of previous growth phenotypes from HB3 x Dd2. Resistance measured at 120 h continually shows the most consistent phenotype for ring stage susceptibility. Recovery identifies an additional response to drug than parasites that are determined sensitive by Fold Change at 120 h. Comparison of progeny phenotypes for Growth vs Resistance showed a minor but significant correlation, whereas Growth vs Recovery and Resistance vs Recovery showed no significant correlation. Additionally, dried blood spot (DBS) samples matched Fold Change measured from liquid samples demonstrating Resistance can be easily quantified using either storage method. ConclusionsThe qPCR-based methodology provides the throughput needed to quickly measure large numbers of parasites for multiple relevant phenotypes. Growth can reveal fitness defects and illuminate relationships between proliferation rates and drug response. Recovery serves as a complementary phenotype to resistance that quantifies the ability of sensitive parasites to tolerate drug exposure. All three phenotypes offer a comprehensive assessment of parasite-drug interaction each with independent genetic determinants of main effect and overlapping secondary effects that should be further. By adapting our method to include DBS, readouts can be easily extended to ex vivo surveillance applications.

microbiology↗

bioRxiv2024

MalKinID: A Likelihood-Based Model for Identifying Malaria Parasite Genealogical Relationships Using Identity-by-Descent

Pathogen genomics is a powerful tool for tracking infectious disease transmission. In malaria, identity-by-descent (IBD) is used to assess the genetic relatedness between parasites and has been used to study transmission and importation. In theory, IBD can be used to distinguish genealogical relationships to reconstruct transmission history or identify parasites for genotype- to-phenotype quantitative-trait-locus experiments. MalKinID (Malaria Kinship Identifier) is a new likelihood-based classification model designed to identify genealogical relationships among malaria parasites based on genome-wide IBD proportions and IBD segment distributions. MalKinID was calibrated to the genomic data from three laboratory-based genetic crosses (yielding 440 parent-child and 9060 full-sibling comparisons). MalKinID identified lab generated F1 progeny with >80% sensitivity and showed that 0.39 (95% CI 0.28, 0.49) of the second- generation progeny of a NF54 and NHP4026 cross were F1s and 0.56 (0.45, 0.67) were backcrosses of an F1 with the parental NF54 strain. In simulated outcrossed importations, MalKinID accurately reconstructs genealogy history with high precision and sensitivity, with F1- scores exceeding 0.84. However, when importation involves inbreeding, such as during serial co-transmission, the precision and sensitivity of MalKinID declined, with F1-scores of 0.76 (0.56, 0.92) and 0.23 (0.0, 0.4) for PC and FS and <0.05 for second-degree and third-degree relatives. Genealogical inference is most powered 1) when outcrossing is the norm or 2) when multi- sample comparisons based on a predefined pedigree are used. MalKinID lays the foundations for using IBD to track parasite transmission history and for separating progeny for quantitative- trait-locus experiments.

genetics↗

bioRxiv2023

Using a P. falciparum genetic cross to dissect the relative contributions of pfcrt and plasmepsin II/III to piperaquine response-related traits

Piperaquine (PPQ) is widely used in combination with dihydroartemisinin (DHA) as a first-line treatment against malaria parasites. Multiple genetic drivers of PPQ resistance have been reported, including mutations in the Plasmodium falciparum chloroquine resistance transporter (pfcrt) and increased copies of plasmepsin II/III (pm2/3). We generated a cross between a Cambodia-derived multi-drug resistant KEL1/PLA1 lineage isolate (KH004) and a drug susceptible parasite isolated in Malawi (Mal31). Mal31 harbors a wild-type (3D7-like) pfcrt allele and a single copy of pm2/3, while KH004 has a chloroquine-resistant (Dd2-like) pfcrt allele with an additional G367C substitution and four copies of pm2/3. We recovered 104 unique recombinant progeny and examined a targeted set of progeny representing all possible combinations of variants at pfcrt and pm2/3 for detailed analysis of competitive fitness and a range of PPQ susceptibility phenotypes, including PPQ survival assay (PSA), area under the dose-response curve (AUC), and a limited point IC50 (LP-IC50). We find that inheritance of the KH004 pfcrt allele is required for PPQ resistance, whereas copy number variation in pm2/3 further enhances resistance but does not confer resistance in the absence of PPQ-R-associated mutations in pfcrt. Deeper investigation of genotype-phenotype relationships demonstrates that progeny clones from experimental crosses can be used to understand the relative contributions of pfcrt, pm2/3, and parasite genetic background, to a range of PPQ-related traits and confirm the critical role of the PfCRT G367C substitution in PPQ resistance. ImportanceResistance to PPQ used in combination with DHA has emerged in Cambodia and threatens to spread to other malaria-endemic regions. Understanding the causal mutations of drug resistance and their impact on parasite fitness is critical for surveillance and intervention, and can also reveal new avenues to limiting the evolution and spread of drug resistance. An experimental genetic cross is a powerful tool for pinpointing the genetic determinants of key drug resistance and fitness phenotypes and have the distinct advantage of assaying the effects of naturally evolved genetic variation. Our study was significantly strengthened because the full a range of copies of KH004 pm2/3 was inherited among the progeny clones, allowing us to directly test the role of pm2/3 copy number on resistance-related phenotypes in the context of a unique pfcrt allele. Our multi-gene model suggests an important role for both loci in the evolution of this ACT resistant parasite lineage.

genomics↗

bioRxiv2023

Enhancing gene co-expression network inference for the malaria parasite Plasmodium falciparum

BackgroundMalaria results in more than 550,000 deaths each year due to drug resistance in the most lethal Plasmodium (P.) species P. falciparum. A full P. falciparum genome was published in 2002, yet 44.6% of its genes have unknown functions. Improving functional annotation of genes is important for identifying drug targets and understanding the evolution of drug resistance. ResultsGenes function by interacting with one another. So, analyzing gene co-expression networks can enhance functional annotations and prioritize genes for wet lab validation. Earlier efforts to build gene co-expression networks in P. falciparum have been limited to a single network inference method or gaining biological understanding for only a single gene and its interacting partners. Here, we explore multiple inference methods and aim to systematically predict functional annotations for all P. falciparum genes. We evaluate each inferred network based on how well it predicts existing gene-Gene Ontology (GO) term annotations using network clustering and leave-one-out cross-validation. We assess overlaps of the different networks edges (gene co-expression relationships) as well as predicted functional knowledge. The networks edges are overall complementary: 47%-85% of all edges are unique to each network. In terms of accuracy of predicting gene functional annotations, all networks yield relatively high precision (as high as 87% for the network inferred using mutual information), but the highest recall reached is below 15%. All networks having low recall means that none of them capture a large amount of all existing gene-GO term annotations. In fact, their annotation predictions are highly complementary, with the largest pairwise overlap of only 27%. We provide ranked lists of inferred gene-gene interactions and predicted gene-GO term annotations for future use and wet lab validation by the malaria community. ConclusionsThe different networks seem to capture different aspects of the P. falciparum biology in terms of both inferred interactions and predicted gene functional annotations. Thus, relying on a single network inference method should be avoided when possible. Supplementary dataAttached. Availability and implementationAll data and code are available at https://nd.edu/~cone/pfalGCEN/. Contacttmilenko@nd.edu

systems biology↗

bioRxiv2022

The amino acid transporter pfaat1 modulates chloroquine resistance and fitness in malaria parasites

Malaria parasites break down host hemoglobin into peptides and amino acids in the digestive vacuole for export to the parasite cytoplasm for growth: interrupting this process is central to the mode of action of several antimalarial drugs. Mutations in the chloroquine (CQ) resistance transporter, pfcrt, located in the digestive vacuole membrane, confer CQ resistance in Plasmodium falciparum, but typically affect parasite fitness. However, the role of other parasite loci in the evolution of CQ resistance is unclear. Here we use a combination of population genomics, genetic crosses and gene editing to demonstrate that a second vacuolar transporter plays a key role in both resistance and compensatory evolution. Longitudinal genomic analyses of the Gambian parasites revealed temporal signatures of selection on an amino acid transporter (pfaat1) S258L variant which increased from 0-87% in frequency between 1984 and 2014 in parallel with pfcrt1 K76T. Parasite genetic crosses then identified a chromosome 6 quantitative trait locus containing pfaat1 that is selected by CQ treatment. Gene editing demonstrated that pfaat1 S258L potentiates CQ-resistance but at a cost of reduced fitness, while pfaat1 F313S, a common Southeast Asian polymorphism, reduces CQ-resistance while restoring fitness. Our analyses reveal hidden complexity in CQ-resistance evolution, suggesting that pfaat1 may underlie regional differences in the dynamics of resistance evolution, and modulate parasite resistance or fitness by manipulating the balance between both amino acid and drug transport.

genomics↗

bioRxiv2021

Optimizing bulk segregant analysis of drug resistance using Plasmodium falciparum genetic crosses conducted in humanized mice

BackgroundClassical genetic crosses in malaria parasites involve isolation, genotyping, and phenotyping of multiple progeny parasites, which is time consuming and laborious. Bulk segregant analysis (BSA) offers a powerful and efficient alternative to identify loci underlying complex traits in the human malaria parasite, Plasmodium falciparum. MethodsWe have used BSA, which combines genetic crosses using humanized mice with pooled sequencing of progeny populations to measure changes in allele frequency following selection with antimalarial drugs. We used dihydroartemisinin (DHA) drug selection in two genetic crosses (Mal31xKH004 and NF54xNHP1337). We specifically investigated how synchronization, cryopreservation, and the drug selection regimen of progeny pools impacted the success of BSA experiments. FindingsWe detected a strong and repeatable quantitative trait locus (QTL) at chr13 kelch13 locus in both crosses, but did not detect QTLs at ferredoxin (fd), the apicoplast ribosomal protein S10 (arps10), multidrug resistance protein 2 (mdr2). QTLs were detected using synchronized, but not unsynchronized pools, consistent with the stage-specific action of DHA. We also successfully applied BSA to cryopreserved progeny pools. InterpretationOur results provide proof-of-principal of the utility of BSA for rapid, robust genetic mapping of drug resistance loci. Use of cryopreserved progeny pools expands the utility of BSA because we can conduct experiments using archived progeny pools from previous genetic crosses. BSA provides a powerful approach that complements traditional QTL methods for investigating the genetic architecture of resistance to antimalarials, and to reveal new or accessory loci contributing to artemisinin resistance. FundingNational Institutes of Health (NIH); Wellcome trust. O_TEXTBOXResearch in contextO_ST_ABSEvidence before this studyC_ST_ABSGenetic crosses have been immensely successful for determining the genetic basis of drug resistance in malaria parasites, but require laborious cloning, characterization of drug resistance and genome-wide genotyping of individual progeny. This is a major limitation given that genetic crosses can now be conducted efficiently using humanized mice, rather than chimpanzees. Bulk segregant analysis (BSA) provides an attractive alternative approach because (i) large numbers of uncloned recombinant progeny can be analyzed, increasing statistical power (ii) phenotyping is not required, because we identify QTLs by treatment of progeny bulks, and identifying genome regions that show skews in allele frequency after treatment (iii) genome sequencing of bulk samples provides a rapid, accurate readout of genome-wide allele frequencies. This approach has been effectively leveraged in yeast, rodent malaria and several model organisms. Added value of this studyHere we validate and optimize this approach for P. falciparum genetic crosses, focusing on resistance to dihydroartemisin (DHA) a central component of the first-line antimalarial combination. Mutations in kelch13 are known to confer resistance to DHA, but several additional candidate loci have also been suggested to contribute. Our results confirm involvement of kelch13, but did not identify linkage with other putative candidate loci. We optimized methodology, showing that synchronization is critical, and that BSA can be successfully applied to cryopreserved progeny pools. Implications of all the available evidenceBSA combined with recent advances in rapidly generating genetic crosses provides a powerful approach to investigate the genetic basis of drug resistance in P. falciparum. C_TEXTBOX

genomics↗

bioRxiv2020

The endosymbiotic origins of the apicoplast link fever-survival and artemisinin-resistance in the malaria parasite

BackgroundThe emergence and spread of Plasmodium falciparum parasites resistant to front-line antimalarial artemisinin-combination therapies (ACT) threatens to erase the considerable gains against the disease of the last decade. We developed a new large-scale phenotypic screening pipeline and used it to carry out the first large-scale forward-genetic phenotype screen in P. falciparum to identify genes that allow parasites to survive febrile temperatures. ResultsScreening identified more than 200 P. falciparum mutants with differential responses to increased temperature. These mutants were more likely to be sensitive to artemisinin derivatives as well as to heightened oxidative stress. Major processes critical for P. falciparum tolerance to febrile temperatures and artemisinin included highly essential, conserved pathways associated with protein-folding, heat-shock and proteasome-mediated degradation, and unexpectedly, isoprenoid biosynthesis, which originated from the ancestral genome of the parasites algal endosymbiont-derived plastid, the apicoplast. Apicoplast-targeted genes in general were up-regulated in response to heat shock, as were other Plasmodium genes with orthologs in plant and algal genomes. ConclusionsPlasmodium falciparum parasites appear to exploit their innate febrile-response mechanisms to mediate resistance to artemisinin. Both responses depend on endosymbiotic cynobacterium-related ancestral genes in the parasites genome, suggesting a link to the evolutionary origins of Plasmodium parasites in free-living ancestors.

genomics↗

bioRxiv2020

Cyclical Regression Covariates remove the major confounding effect of cyclical developmental gene expression with strain-specific drug response in the malaria parasite Plasmodium falciparum

BackgroundThe cyclical nature of parasite gene expression in the intraerythrocytic development cycle (IDC) in human blood confounds the accurate detection of specific transcriptional differences due to drug resistance in Plasmodium falciparum. Here, we propose the use of cyclical regression covariates to eliminate the major confounding of developmentally driven transcriptional changes with changes due to drug response. We show that elimination of this confounding can reduce both Type I and Type II errors, and demonstrate the effect of approach on real data. ResultsWe apply this method to two publicly available datasets, and demonstrate its ability to reduce the potential confounding of differences in expression due the species-specific intraerythrocytic development cycle from strain-specific differences in drug response. We show that the application of cyclical regression covariates has minimal impact on the pool of transcripts identified as significantly different in a dataset generated from single timepoint clinical blood samples with low variance for developmental stage and a profound impact on another clinical data set with more variance among the samples for developmental stage. ConclusionsCyclical regression covariates have immediate application to studies where in-vitro synchronization of all samples to the same developmental timepoint is not feasible, primarily parasite transcriptome sequencing direct from clinical blood samples, a widely used approach to frontline detection of emerging drug resistance.

genomics↗

bioRxiv2019

Surprising variation in the outcome of two malaria genetic crosses using humanized mice: implications for genetic mapping and malaria biology

Genetic crosses are most powerful for linkage analysis when progeny numbers are high, when parental alleles segregate evenly and, for hermaphroditic organisms, when numbers of inbred progeny are minimized. We previously developed a novel genetic crossing platform for the human malaria parasite Plasmodium falciparum, an obligately sexual, hermaphroditic protozoan, using mice carrying human hepatocytes (the human liver-chimeric FRG NOD huHep mouse) as the vertebrate host. Here we examine the statistical power of two different genetic crosses - (1) between a laboratory parasite (NF54) of African origin and a patient-derived Asian parasite, and (2) between two sympatric patient-derived Asian parasites. We generated >140 unique recombinant clones over a 12-month period from the four parental genotypes, doubling the number of unique recombinant progeny generated in the previous 30 years. Both crosses show bi-parental inheritance of plastid markers amongst recombinant progeny, in contrast to previous crosses (conducted using chimpanzee hosts) which carried single dominant plastid genotypes. Both crosses show distinctive segregation patterns. The allopatric African/Asian cross has minimal levels of inbreeding (2% of clonal progeny are inbred) and extreme skews in marker segregation, while in the sympatric Asian cross, inbred progeny predominate (66% of clonal progeny are inbred) and parental alleles segregate evenly. Using simulations, we demonstrate that these progeny arrays (particularly the sympatric Asian cross) have excellent power to map large-effect mutations to a 31 kb interval and can capture complex, epistatic interactions that were far beyond the capacity of previous malaria crosses to detect. The extreme segregation distortion in the allopatric African/Asian cross erodes power to detect linkage in several genome regions, but the repeatable distortions observed offer promising alternative approaches to identifying genes underlying traits of interest. These crosses show surprising variation in marker segregation, nevertheless, the increased progeny numbers improve our ability to rapidly map biomedically important parasite traits. Author SummaryUnderstanding how genome mutations contribute to newly emerging drug resistance in parasites like Plasmodium falciparum is important to monitor the spread of drug resistance. This scenario has been playing out in Southeast Asia with the emergence and spread of artemisinin resistance. Here we show that new P. falciparum genetic crosses, using mice carrying human liver cells and infused with human red blood cells (the human liver-chimeric FRG NOD huHep/huRBC mouse), provide an important new tool for understanding complex interactions underlying drug resistance phenotypes. We report two new genetic maps with 84 and 60 unique recombinant progeny, which doubles the number of progeny available from 4 previous P. falciparum genetic crosses. Through extensive simulations we show that with 84 progeny we can find association for a gene that controls only 20% of the variation in a phenotype. We also show that a cross generated from Southeast Asian parasites collected from the same geographic region have unique characteristics not previously observed in P. falciparum genetic crosses. This Southeast Asian cross exhibits even segregation across the genome, unbiased inheritance of mitochondria and apicoplast and higher levels of inbreeding than previously observed.

genetics↗

bioRxiv2019

The extended recovery ring stage survival assay provides superior prediction of patient clearance half life and increases throughput

BackgroundTracking and understanding artemisinin resistance is key for preventing global setbacks in malaria eradication efforts. The ring-stage survival assay (RSA) is the current gold standard for in vitro artemisinin resistance phenotyping. However, the RSA has several drawbacks: it is relatively low throughput, has high variance due to microscopy readout, and correlates poorly with the current benchmark for in vivo resistance, patient clearance half-life post-artemisinin treatment. Here a modified RSA is presented, the extended Recovery Ring-stage Survival Assay (eRRSA), using 15 cloned patient isolates from Southeast Asia with a range of patient clearance half-lives, including parasite isolates with and without kelch13 mutations. MethodsP. falciparum cultures were synchronized with single layer Percoll during the schizont stage of the erythrocytic cycle. Cultures were left to reinvade to early ring-stage and parasitemia was quantified using flow cytometry. Cultures were diluted to 2% hematocrit and 0.5% parasitemia in a 96-well plate to start the assay, allowing for increased throughput and decreased variability between biological replicates. Parasites were treated with 700nM of dihydroartemisinin or an equivalent amount of dimethyl sulfoxide (DMSO) for 6 h, washed three times in drug-free media, and incubated for 66 or 114 h, when samples were collected and frozen for PCR amplification. A SYBR Green-based quantitative PCR method was used to quantify the fold-change between treated and untreated samples. Results15 cloned patient isolates from Southeast Asia with a range of patient clearance half-lives were assayed using the eRRSA. Due to the large number of pyknotic and dying parasites at 66 h post-exposure (72 h sample), parasites were grown for an additional cell cycle (114 h post-exposure, 120 h sample), which drastically improved correlation with patient clearance half-life compared to the 66 h post-exposure sample. A Spearman correlation of 0.8393 between fold change and patient clearance half-life was identified in these 15 isolates from Southeast Asia, which is the strongest correlation reported to date. ConclusionseRRSA drastically increases the efficiency and accuracy of in vitro artemisinin resistance phenotyping compared to the traditional RSA, which paves the way for extensive in vitro phenotyping of hundreds of artemisinin resistant parasites.

microbiology↗