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Court, L.

Publications and source records attributed to Court, L..

6 recordsLinked to original sources

Populations of the Australian saltmarsh mosquito Aedes vigilax vary between panmixia and temporally stable local genetic structure

Pest management programs can operate more effectively when movement patterns of target species are known. As individual insects are difficult to track, genomic data can instead be used to infer movement patterns based on pest population structure and connectivity. These data can also provide critical information about cryptic taxa relevant to management. Here we present the first genomic investigation of Aedes vigilax, the Australian saltmarsh mosquito, a major arbovirus vector across Australasia. We used a ddRAD pool-seq approach and a draft genome assembly to investigate genetic variation in 60 Ae. vigilax pools from across Australia but with a focus on urban Newcastle and Sydney, NSW. There was strong genetic structure between samples from the west and east coasts of Australia, and additional structure that differentiated east coast populations. Within Newcastle and Sydney, contrasting patterns of genetic structure were evident. In Newcastle, there was no differentiation among subregions up to 60 km apart. In Sydney, samples from one urban subregion were differentiated from others < 3 km apart, and this structure was stable across sampling years. Heterozygosity and Tajimas D indicated no bottlenecks in Newcastle or Sydney populations, suggesting this structure represents a gene flow barrier. Nuclear differentiation patterns contrast with previous mtDNA data indicating two COI clades in the east coast, one of which was also present in Western Australia. The panmixia over 60 km across the Newcastle region corroborates previous field observations of high dispersal capacity in this mosquito. These findings indicate specific challenges that may hinder local suppression strategies for this species.

evolutionary biology↗

Chromosome structural rearrangements in invasive haplodiploid ambrosia beetles revealed by the genomes of Euwallacea fornicatus and Euwallacea similis (Coleoptera, Curculionidae, Scolytinae)

Bark and ambrosia beetles are among the most ecologically and economically damaging introduced plant pests worldwide, with life history traits including polyphagy, haplodiploidy, inbreeding polygyny and symbiosis with fungi contributing to their dispersal and impact. Species vary in host tree ecologies, with many attacking stressed or recently dead trees, such as the globally distributed E. similis (Ferrari). Other species, like the Polyphagous Shot Hole Borer (PSHB) Euwallacea fornicatus (Eichhoff), can attack over 680 host plants and is causing considerable economic damage in several countries worldwide. Despite their notoriety, publicly accessible genomic resources for Euwallacea Hopkins species are scarce, hampering better understanding of their invasive capabilities as well as modern control measures, surveillance and management. Using a combination of long and short read sequencing platforms we assembled and annotated high quality (BUSCO > 98% complete) chromosome level genomes for these species. Comparative macro-synteny analysis showed an increased number of chromosomes in the haplodiploid inbreeding species of Euwallacea compared to diploid outbred species, due to fission events. This suggests that life history traits can impact chromosome structure. Further, the genome of E. fornicatus had a higher relative proportion of repetitive elements, up to 17% more, than E. similis. Additionally, metagenomic assembly pipelines identified microbiota associated with both species including Fusarium fungal symbionts and a novel Wolbachia strain. These novel genomes of haplodiploid inbreeding species will contribute to the understanding of how life history traits are related to their evolution and will contribute to the management of these invasive pests. SignificanceScolytinae are significant forestry pests around the world and commonly translocated due to human trade of wood and plant products. Life history traits including inbreeding and haplodiploidy are attributed to their successful establishment in novel environments. Euwallacea fornicatus is widely distributed and attacks a wide variety of live host trees. This study reports the genome of this species and for, E. similis, which colonises dead host trees. The genome assemblies presented herein are highly complete and scaffolded to pseudo-chromosomal level. Comparative analyses of these genomes and of other Scolytinae highlight significant chromosomal rearrangements between haplodiploid inbreeding Euwallacea and diploid outbreeding scolytinae species. Higher relative proportions of transposable elements were identified E. fornicatus, which may promote the species ability to attack live host trees. These genomes are the first for haplodiploid beetles and will contribute to the understanding of evolution of life history traits and the management of invasive insects.

genomics↗

Flow cytometry-based biomarker assay for in vitro identification of heat tolerance conferring coral symbionts

Corals tolerance to high temperature stress largely depends on their symbiotic microalgae (Symbiodiniaceae). However, the contributing microalgal traits are largely unclear. Here we compare the in vitro cellular profiles of seven Cladocopium C1acro microalgal strains (derived from the same ancestral strain) during a four-week exposure to 27{degrees}C or 31{degrees}C. One was an unselected wild-type strain (WT), three were selected at 31{degrees}C for nine years and shown to confer thermal tolerance on the coral host (SS+) and three others were similarly selected but did not confer tolerance (SS-). Flow cytometry was used to measure the intracellular stress indicators reactive oxygen species (ROS), reduced glutathione (rGSH) and mitochondrial-membrane potential ({Delta}{Psi}m), as well as cell size/shape and photosynthetic pigments. Cell densities and photosynthetic efficiency ({Phi}PSII, Fv/Fm) were also measured. WT showed the highest levels of intracellular ROS and {Delta}{Psi}m, lowest rGSH and largest cell sizes at both temperatures. SS+ strains had the lowest ROS and highest rGSH values and a unique pattern of correlations among parameters at 31{degrees}C. Our results support previous reports implicating the role of microalgal ROS, {Delta}{Psi}m and rGSH in holobiont thermal tolerance and suggest flow cytometry is a useful pre-screening tool for identifying microalgal strains with enhanced thermal tolerance.

microbiology↗

Rounding up the annual ryegrass genome: high-quality reference genome of Lolium rigidum

The genome of the major agricultural weed species, annual ryegrass (Lolium rigidum) was assembled, annotated and analysed. Annual ryegrass is a major weed in wheat cropping, and has the remarkable capacity to evolve resistance to herbicides with various modes of action. The chromosome-level assembly was achieved using short- and long-read sequencing in combination with Hi-C mapping. The assembly size is 2.44Gb with N50=361.79Mb across 1,764 scaffolds where the seven longest sequences correspond to the seven chromosomes. Genome completeness assessed through BUSCO returned a 99.8% score for complete (unique and duplicated) and fragmented genes using the Viridiplantae set. We found evidence for the expansion of herbicide resistance-related gene families including detoxification genes. The reference genome assembly of L. rigidum is pivotal for the management of this highly problematic weed species which leverages genomic tools to devise new control options.

genomics↗

Improving Lab Culture Through Self-Assessment: A Case Study

PurposeMotivated by perceived dissatisfaction within our labs changed working environment brought about by the COVID-19 pandemic, we performed a self-assessment of our lab culture through anonymous surveys and live sessions. MethodsIn Survey 1, we asked each lab member to identify and rank up to 10 values that are important for a healthy lab environment. They were then asked to rate how well the lab embodied those values at two time points: before the COVID-19 pandemic while working onsite, and at the time of the survey while working remotely (10 months into the pandemic). In a series of live group sessions, we reviewed relevant literature and the survey results to finalize ten themes. We then reflected on each theme and proposed action items to address any deficiencies. Finally, we conducted Survey 2 after the self-assessment to judge the groups finalized themes, implemented changes, and overall satisfaction with the assessment process. ResultsThemes identified were attitude, accountability, teamwork/collaboration, communication, diversity/inclusion, emotional intelligence, integrity, training, well-being, and adaptability in crisis-management. All lab members liked the self-assessment process and felt their voices were heard. On average, there was a 12% increase in satisfaction across all themes from the start to end of the lab assessment. ConclusionWe successfully assessed the culture of our lab and subsequently improved lab member satisfaction. The success of this team project suggests that other scientific labs could benefit from similar interactive self-assessments.

scientific communication and education↗

Imaging-Genomics Study Of Head-Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes And Genomic Mechanisms Via Integration Of TCGA And TCIA

PurposeRecent data suggest that imaging radiomics features for a tumor could predict important genomic biomarkers. Understanding the relationship between radiomic and genomic features is important for basic cancer research and future patient care. For Head and Neck Squamous Cell Carcinoma (HNSCC), we perform a comprehensive study to discover the imaging-genomics associations and explore the potential of predicting tumor genomic alternations using radiomic features.\n\nMethodsOur retrospective study integrates whole-genome multi-omics data from The Cancer Genome Atlas (TCGA) with matched computed tomography imaging data from The Cancer Imaging Archive (TCIA) for the same set of 126 HNSCC patients. Linear regression analysis and gene set enrichment analysis are used to identify statistically significant associations between radiomic imaging features and genomic features. Random forest classifier is used to predict two key HNSCC molecular biomarkers, the status of human papilloma virus (HPV) and disruptive TP53 mutation, based on radiomic features.\n\nResultsWide-spread and statistically significant associations are discovered between genomic features (including miRNA expressions, protein expressions, somatic mutations, and transcriptional activities, copy number variations, and promoter region DNA methylation changes of pathways) and radiomic features characterizing the size, shape, and texture of tumor. Prediction of HPV and TP53 mutation status using radiomic features achieves an area under the receiver operating characteristics curve (AUC) of 0.71 and 0.641, respectively.\n\nConclusionOur analysis suggests that radiomic features are associated with genomic characteristics in HNSCC and provides justification for continued development of radiomics as biomarkers for relevant genomic alterations in HNSCC.

cancer biology↗