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Holzschuh, A.

Publications and source records attributed to Holzschuh, A..

5 recordsLinked to original sources

Rapid evolution of Wolbachia in cherry fruit flies

Wolbachia is a widespread bacterial endosymbiont in arthropods known for its ability to manipulate host reproduction through cytoplasmic incompatibility (CI), thereby promoting its spread. However, Wolbachia harbors an array of mobile genetic elements (MGEs) that can rapidly alter its genomic structure and content, including the cif loci responsible for CI. At the phylogenetic scale, Wolbachia genomes are shown to be dynamic with MGEs causing widespread genome rearrangements. But on ecological time scales, the evolution of Wolbachia remains largely unknown. In this study, we leverage the natural history of Wolbachia in cherry-infesting fruit flies in the Rhagoletis cingulata sibling species group. Members of this species group share a common Wolbachia strain, wCin2, and their divergence spans from 1,000 to 150,000 years ago. We utilized Nanopore sequencing to characterize wCin2 Wolbachia genome divergence across recent to more distant evolutionary timescales. We report rapid evolution of population-level differences in gene content (including cif loci and MGEs) and genome structure, with differentiation increasing with time since host divergence. Notably, structural variants were the first to appear both between and among wCin2 populations. Our results also indicated that the CI phenotype previously attributed to a distinct Wolbachia strain, wCin3, that coinfects flies in the southwestern USA and Mexico, may instead be caused by cif genes that were horizontally transferred into wCin2. Finally, we discovered a novel Wolbachia strain, wInd, which appears to have been recently horizontally acquired by cherry fly populations in the Pacific Northwest of the USA. Our findings underscore the fluidity and rapid genome evolution of Wolbachia, with significant implications for cif gene dynamics and potential impacts on host evolutionary trajectories. Author SummaryIn our study, we explore the genome evolution of Wolbachia, a common bacterial endosymbiont found in many insects that can manipulate its hosts reproduction to help it spread more effectively. Wolbachias genome is shown to change dramatically over long evolutionary periods due to mobile genetic elements. However, little is known about how Wolbachias genome evolves over shorter ecological timeframes. Here, we utilized cherry-infesting fruit flies and their Wolbachia strain known as wCin2, both of which have spread across North America for the past 150,000 years. Using long-read sequencing, we assembled multiple wCin2 Wolbachia genomes from across North America and made comparisons between wCin2 Wolbachia genomes that have recently diverged and comparisons to those that have been isolated for over 150,000 years. Our findings reveal that Wolbachias genome can evolve swiftly, with differences in gene content and most prominently genome structure arising between recently separated Wolbachia populations and increasing as populations diverge over time. Interestingly, these changes also impact the key genes responsible for Wolbachias reproductive manipulation. This research highlights the rapid and dynamic nature of Wolbachia genome evolution across different evolutionary timescales and offers insights into endosymbiont-host relationships as well as their potential impact on host speciation and vector control.

evolutionary biology↗

Multiplexed nanopore amplicon sequencing to distinguish recrudescence from new infection in antimalarial drug trials

BackgroundThe assessment of antimalarial drug efficacy against Plasmodium falciparum requires PCR correction to distinguish recrudescence from new infections by comparing parasite genotypes before treatment and in recurrent infections. Nanopore sequencing offers a low-cost, portable, scalable, and rapid alternative to traditional methods, supporting the expansion and decentralization of sequencing in endemic, resource-limited settings, potentially providing rapid PCR-corrected drug failure estimates. MethodsWe optimized a multiplexed AmpSeq panel targeting six microhaplotypes for high and uniform coverage. We assessed sensitivity and specificity for detecting minority clones in polyclonal infections and evaluated genetic diversity across the microhaplotype markers. We used mixtures of four P. falciparum laboratory strains at different ratios and 20 paired patient samples from a clinical trial. A custom bioinformatics workflow was used to infer haplotypes from polyclonal infections, including minority clones, with defined cut-off criteria for accurate haplotype calling. FindingsThe nanopore AmpSeq assay achieved uniform and high read coverage across all six microhaplotype markers (median coverage: 12,989x to 15,440x for laboratory strain mixtures and 7,011x to 11,600x for patients samples, respectively). We found high sensitivity in detecting minority clones (up to 50:1:1:1 in the 3D7:K1:HB3:FCB1 laboratory strain mixtures) and high specificity with less than 0.01% of all reads being false-positive haplotypes. Genetic diversity in the markers used was high (HE [≥] 0.98 and up to 31 unique haplotypes in 20 paired samples with cpmp), and concordant results in classifying new infections and recrudescence across all markers used were observed in 18 (90%) of 20 paired samples. InterpretationOur study demonstrates the feasibility of nanopore AmpSeq for distinguishing recrudescence from new infections in clinical trials. FundingSwiss Tropical and Public Health Institute.

molecular biology↗

Plasmodium falciparum transmission in the highlands of Ethiopia is driven by closely related and clonal parasites

Malaria cases are frequently recorded in the Ethiopian highlands even at altitudes above 2,000 m. The epidemiology of malaria in the Ethiopian highlands, and in particular the role of importation by human migration from the highly endemic lowlands is not well understood. We characterized the parasite population structure and genetic relatedness by sequencing 159 P. falciparum samples from Gondar and an additional 28 samples from Ziway using a highly multiplexed droplet digital PCR (ddPCR)-based amplicon deep sequencing method targeting 35 microhaplotypes and drug resistance loci. Diversity was moderate (mean HE: 0.54), and infection complexity was low (74.9% single clone infections). A significant percentage of infections shared genomic haplotypes, even across transmission seasons, indicating persistent local and focal transmission. Multiple clusters of clonal or near-clonal infections were identified, highlighting the overall high genetic relatedness. Frequently, infections from travelers were the earliest observed cases, suggesting that parasites may have been imported and then transmitted locally. We observed population structure between Gondar and Ziway, although some haplotypes were shared between sites. 31.1% of infections carried pfhrp2 deletions and 84.4% pfhrp3 deletions, and 28.7% pfhrp2/pfhrp3 double deletions. Parasites with pfhrp2/3 deletions and wild-type parasites were genetically distinct. Mutations associated with resistance to sulfadoxine-pyrimethamine and lumefantrine were observed at near-fixation, but no mutations in pfk13 were found. In conclusion, genomic data corroborates local transmission and the importance of intensified control in the Ethiopian highlands.

genomics↗

Highly multiplexed ddPCR-amplicon sequencing reveals strong Plasmodium falciparum population structure and isolated populations amenable to local elimination efforts in Zanzibar

Over the past 15 years, Zanzibar has made great strides towards malaria elimination; yet progress has stalled. Parasite genetic data of Plasmodium falciparum may inform strategies for malaria elimination by helping to identify contributory factors to parasite persistence. Here we elucidate fine-scale parasite population structure and infer relatedness and connectivity of infections using an identity-by-descent (IBD) approach. We sequenced 518 P. falciparum samples from 5 districts covering both main islands using a novel, highly multiplexed droplet digital PCR (ddPCR)-based amplicon deep sequencing method targeting 35 microhaplotypes and drug-resistance loci. Despite high genetic diversity, we observe strong fine-scale spatial and temporal structure of local parasite populations, including isolated populations on Pemba Island and genetically admixed populations on Unguja Island, providing evidence of ongoing local transmission. We observe a high proportion of highly related parasites in individuals living closer together, including between clinical index cases and the mostly asymptomatic cases surrounding them, consistent with isolation-by-distance. We identify a substantial fraction (2.9%) of related parasite pairs between Zanzibar, and mainland Tanzania and Kenya, consistent with recent importation. We identify haplotypes known to confer resistance to known antimalarials in all districts, including multidrug-resistant parasites, but most parasites remain sensitive to current first-line treatments. Our study provides a high-resolution view of parasite genetic structure across the Zanzibar archipelago and reveals actionable patterns, including isolated parasite populations, which may be prioritized for malaria elimination.

genomics↗

Pollinator size and its consequences: Predictive allometry for pollinating insects

O_LIBody size is an integral functional trait that underlies pollination-related ecological processes, yet it is often impractical to measure directly. Allometric scaling laws have been used to overcome this problem. However, most existing models rely upon small sample sizes, geographically restricted sampling and have limited applicability for non-bee taxa. Predictive allometric models that consider biogeography, phylogenetic relatedness and intraspecific variation are urgently required to ensure greater accuracy.\nC_LIO_LIHere, we measured body size, as dry weight, and intertegular distance (ITD) of 391 bee species (4035 specimens) and 103 hoverfly species (399 specimens) across four biogeographic regions: Australia, Europe, North America and South America. We updated existing models within a Bayesian mixed-model framework to test the power of ITD to predict interspecific variation in pollinator dry weight in interaction with different co-variates: phylogeny or taxonomy, sexual dimorphism and biogeographic region. In addition, we used ordinary least squares (OLS) regression to assess intraspecific dry weight - ITD relationships for 10 bee and five hoverfly species.\nC_LIO_LIIncluding co-variates led to more robust interspecific body size predictions for both bees (Bayesian R2: 0.946; {Delta}R2 0.047) and hoverflies (Bayesian R2: 0.821; {Delta}R2 0.058) relative to models with ITD alone. In contrast, at the intraspecific level, our results demonstrate that ITD is an inconsistent predictor of body size for bees (R2: 0.02 - 0.66) and hoverflies (R2: -0.11 - 0.44).\nC_LIO_LITherefore, predictive allometry is more suitable for interspecific comparative analyses than assessing intraspecific variation. Collectively, these models form the basis of the dynamic R package, pollimetry, which provides a comprehensive resource for allometric research concerning insect pollinators worldwide.\nC_LI

ecology↗