Biology subjects

Romero-Severson, J.

Publications and source records attributed to Romero-Severson, J..

5 recordsLinked to original sources

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↗

bioRxiv2023

Gene flow from Fraxinus cultivars into natural stands of Fraxinus pennsylvanica occurs range-wide, is regionally extensive, and is associated with a loss of allele richness

In North America, the ubiquitous planting of a comparatively small number of Fraxinus (ash) cultivars in both urban and rural environments over the last 70-80 years may have permitted extensive gene flow into naturally regenerated stands. In the light of multiple biotic threats to the North American Fraxinus, an assessment of the extent of gene flow from ash cultivars and the current state of genetic diversity in F. pennsylvanica (green ash), one of the most widely distributed species, is needed to inform seed collection strategies for the preservation of genetic diversity range-wide. We used 16 EST-SSR markers to genotype 1291 trees from 48 naturally regenerated populations of green ash across the native range, 19 F. pennsylvanica cultivars and one F. americana (white ash) cultivar. We detected first generation cultivar parentage with high confidence in 172 individuals in 34 of the 48 populations and extensive cultivar parentage (23-50%) in eight populations. The incidence of cultivar parentage was negatively associated with allele richness (R2 = 0.151, p = 0.006). The high frequency of cultivar propagule dispersal in our study suggests that a significant proportion of the standing genetic variation in local populations may not be of local origin, a result that has serious implications for the study of adaptive variation and the conservation of the Fraxinus gene pool.

ecology↗

bioRxiv2023

Conserving a threatened North American walnut: a chromosome-scale reference genome for butternut (Juglans cinerea)

With the advent of affordable and more accurate third generation sequencing technologies and the associated bioinformatic tools, it is now possible to sequence, assemble, and annotate more species of conservation concern than ever before. Juglans cinerea, commonly known as butternut or white walnut, is a member of the walnut family, native to the Eastern United States and Southeastern Canada. The species is currently listed as Endangered on the IUCN Red List due to decline from an invasive fungus known as Ophiognomonia clavigignenti-juglandacearum (Oc-j) that causes butternut canker. Oc-j creates visible sores on the trunks of the tree which essentially starves and slowly kills the tree. Natural resistance to this pathogen is rare. Conserving butternut is of utmost priority due to its critical ecosystem role and cultural significance. As part of an integrated undergraduate and graduate student training program in biodiversity and conservation genomics, the first reference genome for Juglans cinerea is described here. This chromosome-scale 539 Mb assembly was generated from over 100X coverage of Oxford Nanopore long reads and scaffolded with the Juglans mandshurica genome. Scaffolding with a closely related species oriented and ordered the sequences in a manner more representative of the structure of the genome without altering the sequence. Comparisons with sequenced Juglandaceae revealed high levels of synteny and further supported J. cinereas recent phylogenetic placement. Comparative assessment of gene family evolution revealed a significant number of contracting families, including several associated with biotic stress response.

genomics↗

bioRxiv2022

Profiles of secoiridoids and alkaloids in tissue of susceptible and resistant green ash progeny reveal patterns of induced responses to emerald ash borer in Fraxinus pennsylvanica

The emerald ash borer (Agrilus planipennis, EAB) invasion in North America threatens most North American Fraxinus species, including green ash (F. pennsylvanica), the mostly widely distributed species (1, 2). A small number of green ash ("lingering ash", 0.1-1%) survive years of heavy EAB attack (3) and kill more EAB larvae when challenged in greenhouse studies than susceptible controls (4). We combined untargeted metabolomics with intensive phenotyping of segregating F1 progeny from susceptible or lingering ash parents to detect chemotypes associated with defensive responses to EAB. We examined three contrasting groups: low larval kill (0-25% of larvae killed), high larval kill (55-95% of larvae killed) and uninfested. Contrasting the chemotypes of these groups revealed evidence of an induced response to EAB. Infested trees deployed significantly higher levels of select secoiridoids than uninfested trees. Within the infested group, the low larval kill (LLK) individuals deployed significantly higher levels of select secoiridoids than the high larval kill (HLK) individuals. The HLK individuals deployed significantly higher concentrations of three metabolites annotated as aromatic alkaloids compared to the LLK and uninfested individuals. We propose a two-part model for the North American Fraxinus response to EAB wherein every individual has the capacity to detect and respond to EAB, but only certain trees mount an effective defense, killing enough EAB larvae to prevent or minimize lethal damage to the vascular system. Integration of intensive phenotyping of structured populations with metabolomics reveals the multi-faceted nature of the defenses deployed in naive host populations against invasive species. SignificanceLong-lived forest trees employ evolutionarily conserved templates to synthesize an array of defensive metabolites. The regulation of these metabolites, honed against native pests and pathogens, may be ineffective against novel species, as illustrated by the high mortality (>99%) in green ash infested by the invasive emerald ash borer (EAB). However, high standing genetic variation may produce a few individuals capable of an effective defense, as seen in the rare surviving green ash. In an investigation of this plant-insect interaction, we annotated metabolites associated with generalized but ineffective responses to EAB, and others associated with successful defensive responses. Untargeted metabolomics combined with intensive phenotyping of structured populations provides a framework for understanding resistance to invasive species in naive host populations.

plant biology↗

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↗