Taking Stock of the Drosophila Research Ecosystem

Super food or super toxic? Turmeric and spirulina as culprits for the toxic effects of food dyes in Drosophila

Prolonged exposure to food dyes, even for those considered safe for consumption, are known to have toxic effects. However, we lack a proper understanding of the underlying compounds that are responsible for the observed toxicity. Here, we tested the toxic effects of three common commercially available natural food dyes (red, green, blue), and their main ingredients (turmeric and spirulina), on Drosophila melanogaster oviposition, larval development, and larval foraging behaviour. Larval development and egg-to-adult survival was significantly impacted by blue and green dyes. These effects were recapitulated when flies were fed with increasing concentrations of turmeric and spirulina, suggesting that turmeric is a toxic component of the food dye. Red dye, which contains neither turmeric or spirulina, had little impact on fly health and behaviour. Green and blue food dyes decreased egg laying, an effect similar to that observed in increasing concentrations of turmeric and, to a lesser extent, spirulina. When given a choice, larvae preferred to feed as follows: control > red > blue > green diet patches, a pattern inversely correlating with the previously observed toxicity. Our results show that, despite turmeric being often considered a super food, it can have toxic effects that the impact health of organisms.

Next-generation large-scale binary protein interaction network for Drosophila melanogaster

Generating reference maps of interactome networks illuminates genetic studies by providing a protein-centric approach to finding new components of existing pathways, complexes, and processes. We apply state-of-the-art methods to identify binary protein-protein interactions (PPIs) for Drosophila melanogaster. Four all-by-all yeast two-hybrid (Y2H) screens of > 10,000 Drosophila proteins result in the 'FlyBi' dataset of 8723 PPIs among 2939 proteins. Testing subsets of data from FlyBi and previous PPI studies using an orthogonal assay allows for normalization of data quality; subsequent integration of FlyBi and previous data results in an expanded binary Drosophila reference interaction network, DroRI, comprising 17,232 interactions among 6511 proteins. We use FlyBi data to generate an autophagy network, then validate in vivo using autophagy-related assays. The deformed wings (dwg) gene encodes a protein that is both a regulator and a target of autophagy. Altogether, these resources provide a foundation for building new hypotheses regarding protein networks and function.

Serial Recombineering Cloning to Build Selectable and Tagged Genomic P[acman] BAC Clones for Selection Transgenesis and Functional Gene Analysis using Drosophila melanogaster

Transgenes with genomic DNA fragments that encompass genes of interest are the gold standard for complementing null alleles in rescue experiments in the fruit fly Drosophila melanogaster. Of particular interest are genomic DNA clones available as bacterial artificial chromosomes (BACs) or fosmids from publicly available genomic DNA libraries. Genes contained within BAC and fosmid clones can be easily modified by recombineering cloning to insert peptide or protein tags to localize, visualize, or manipulate gene products, and to create point mutations or deletions for structure-function analysis of the inserted genes. However, since transgenesis efficiency is inversely correlated with transgene size, obtaining transgenic animals for increasingly larger BAC and fosmid clones requires increasingly laborious screening efforts using the transgenesis marker commonly used for these transgenes, the dominant eye color marker white+ . We recently described a drug-based selectable genetic platform for Drosophila melanogaster, which included four resistance markers that allow direct selection of transgenic animals, eliminating the need to identify transgenic progeny by laborious phenotypic screening. By integrating these resistance markers into BAC transgenes, we were able to isolate animals containing large transgenes by direct selection, avoiding laborious screening. Here we present procedures on how to upgrade BAC clones by serial recombineering cloning to build both selectable and tagged BAC transgenes, for selection transgenesis and functional gene analysis, respectively. We illustrate these procedures using a BAC clone encompassing the gene encoding the synaptic vesicle protein, cysteine string protein. We demonstrate that the modified BAC clone, serially recombineered with a selectable marker for selection transgenesis and an N-terminal green fluorescent protein tag for gene expression analysis, is functional by showing the expression pattern obtained after successful selection transgenesis. The protocols cover: (1) cloning and preparation of the recombineering templates needed for serial recombineering cloning to incorporate selectable markers and protein tags; (2) preparing electrocompetent cells needed to perform serial recombineering cloning; and (3) the serial recombineering workflow to generate both selectable and tagged genomic BAC reporter transgenes for selection transgenesis and functional gene analysis in Drosophila melanogaster. The protocols we describe can be easily adapted to incorporate any of four selectable markers, protein tags, or any other modification for structure-function analysis of the genes present within any of the BAC or fosmid clones. A protocol for generating transgenic animals using serially recombineered BAC clones is presented in an accompanying Current Protocols article (Venken, Matinyan, Gonzalez, & Dierick, 2023a). © 2023 Wiley Periodicals LLC. Basic Protocol 1: Cloning and preparation of recombineering templates used for serial recombineering cloning. Basic Protocol 2: Making electrocompetent cells of the bacterial strains used to perform serial recombineering cloning or induction of plasmid copy number. Basic Protocol 3: Serial recombineering cloning to generate both selectable and tagged genomic P[acman] BAC reporter transgenes for selection transgenesis and gene expression analysis in Drosophila melanogaster.

Multiplexed Transgenic Selection and Counterselection Strategies to Expedite Genetic Manipulation Workflows Using Drosophila melanogaster

We recently described a set of four selectable and two counterselectable markers that provide resistance and sensitivity, respectively, against their corresponding drugs using the model organism Drosophila melanogaster. The four selectable markers provide animals with resistance against G418 sulfate, puromycin HCl, blasticidin S, or hygromycin B, whereas the two counterselection markers make animals sensitive to ganciclovir/acyclovir or 5-fluorocytosine. Unlike classical phenotypic markers, whether visual or fluorescent, which require extensive screening of progeny of a genetic cross for desired genotypes, resistance and sensitivity markers eliminate this laborious procedure by directly selecting for, or counterselecting against, the desired genotypes. We demonstrated the usefulness of these markers with three applications: 1) generating dual transgenic animals for binary overexpression (e.g., GAL4/UAS) analysis in a single step through the process of co-injection, followed by co-selection resulting in co-transgenesis; 2) obtaining balancer chromosomes that are both selectable and counterselectable to manipulate crossing schemes for, or against, the presence of the modified balancer chromosome; and 3) making both selectable and fluorescently tagged P[acman] BAC transgenic animals for gene expression and proteomic analysis. Here, we describe detailed procedures for how to use these drug-based selection and counterselection markers in the fruit fly D. melanogaster when making dual transgenic animals for binary overexpression as an example. Dual transgenesis integrates site-specifically into two sites in the genome in a single step, namely both components of the binary GAL4/UAS overexpression system, via a G418 sulfate-selectable GAL4 transactivator plasmid and a blasticidin S-selectable UAS responder plasmid. The process involves co-injecting the two plasmids, followed by co-selection using G418 sulfate and blasticidin S, resulting in co-transgenesis of the two plasmids in the fly genome. We demonstrate the functionality of the procedure based on the expression pattern obtained after dual transgenesis of the two plasmids. We provide protocols on how to prepare drugged fly food vials, determine the effective drug concentration for markers used during transgenic selection and counterselection strategies, and prepare and confirm plasmid DNA for microinjection, followed by the microinjection procedure itself and setting up crossing schemes to isolate desired progeny through selection and/or counterselection. These protocols can be easily adapted to any combination of the six selectable and counterselectable markers we described or any new marker that is resistant or sensitive to a novel drug. Protocols on how to build plasmids by synthetic-assembly DNA cloning or modify plasmids by serial recombineering to perform a plethora of selection, counterselection, or any other genetic strategies are presented in two accompanying Current Protocols articles. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Preparing drugged fly food vials for transgenic selection and counterselection strategies using D. melanogaster Basic Protocol 2: Determining the effective drug concentration for resistance and sensitivity markers used during transgenic selection and counterselection strategies using D. melanogaster Basic Protocol 3: Preparing and confirming plasmid DNA for microinjection to perform transgenic selection and counterselection strategies using D. melanogaster Basic Protocol 4: Microinjecting plasmid DNA into fly embryos to perform transgenic selection and counterselection strategies using D. melanogaster Basic Protocol 5: Crossing schemes to isolate desired progeny through transgenic selection and counterselection strategies using D. melanogaster.

Dynamic changes in genomic 5-hydroxymethyluracil and N6-methyladenine levels in the Drosophila melanogaster life cycle and in response to different temperature conditions

In this study, the level of DNA modifications was investigated in three developmental stages of Drosophila melanogaster (larvae, pupae, imago) and in an in vitro model (Schneider 2 cells). Analysis was carried out using two-dimensional ultra-performance liquid chromatography with tandem mass spectrometry. Our method made it possible, for the first time, to analyze a broad spectrum of DNA modifications in the three stages of Drosophila. Each stage was characterized by a specific modification pattern, and the levels of these compounds fluctuated throughout the D. melanogaster life cycle. The level of DNA modification was also compared between insects bred at 25 °C (optimal temperature) and at 18 °C, and the groups differed significantly. The profound changes in N6-methyladenine and 5-hydroxymethyluracil levels during the Drosophila life cycle and as a result of breeding temperature changes indicate that these DNA modifications can play important regulatory roles in response to environmental changes and/or biological conditions. Moreover, the supplementation of Schneider 2 cells with 1 mM L-ascorbic acid caused a time-dependent increase in the level of 5-(hydroxymethyl)-2'-deoxyuridine. These data suggest that a certain pool of this compound may arise from the enzymatic activity of the dTET protein.

Exploring new genomic territories with emerging model insects

Improvements in reference genome generation for insects and across the tree of life are extending the concept and utility of model organisms beyond traditional laboratory-tractable supermodels. Species or groups of species with comprehensive genome resources can be developed into model systems for studying a large variety of biological phenomena. Advances in sequencing and assembly technologies are supporting these emerging genome-enabled model systems by producing resources that are increasingly accurate and complete. Nevertheless, quality controls including assessing gene content completeness are required to ensure that these data can be included in expanding catalogues of high-quality references that will greatly advance understanding of insect biology and evolution.

Gender Identification and Classification of Drosophila melanogaster Flies Using Machine Learning Techniques

Drosophila melanogaster is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a recognizable match with the genetic code of Drosophila flies, and 50% of fly protein sequences have mammalian analogues. Recently, several investigations have been conducted in Drosophila to study the functions of specific genes exist in the central nervous system, heart, liver, and kidney. The outcomes of the research in Drosophila are also used as a unique tool to study human-related diseases. This article presents a novel automated system to classify the gender of Drosophila flies obtained through microscopic images (ventral view). The proposed system takes an image as input and converts it into grayscale illustration to extract the texture features from the image. Then, machine learning (ML) classifiers such as support vector machines (SVM), Naive Bayes (NB), and K-nearest neighbour (KNN) are used to classify the Drosophila as male or female. The proposed model is evaluated using the real microscopic image dataset, and the results show that the accuracy of the KNN is 90%, which is higher than the accuracy of the SVM classifier.

Tumour-host interactions through the lens of Drosophila

There is a large gap between the deep understanding of mechanisms driving tumour growth and the reasons why patients ultimately die of cancer. It is now appreciated that interactions between the tumour and surrounding non-tumour (sometimes referred to as host) cells play critical roles in mortality as well as tumour progression, but much remains unknown about the underlying molecular mechanisms, especially those that act beyond the tumour microenvironment. Drosophila has a track record of high-impact discoveries about cell-autonomous growth regulation, and is well suited to now probe mysteries of tumour - host interactions. Here, we review current knowledge about how fly tumours interact with microenvironmental stroma, circulating innate immune cells and distant organs to influence disease progression. We also discuss reciprocal regulation between tumours and host physiology, with a particular focus on paraneoplasias. The fly's simplicity along with the ability to study lethality directly provide an opportunity to shed new light on how cancer actually kills.

Discovering signaling mechanisms governing metabolism and metabolic diseases with Drosophila

There has been rapid growth in the use of Drosophila and other invertebrate systems to dissect mechanisms governing metabolism. New assays and approaches to physiology have aligned with superlative genetic tools in fruit flies to provide a powerful platform for posing new questions, or dissecting classical problems in metabolism and disease genetics. In multiple examples, these discoveries exploit experimental advantages as-yet unavailable in mammalian systems. Here, we illustrate how fly studies have addressed long-standing questions in three broad areas-inter-organ signaling through hormonal or neural mechanisms governing metabolism, intestinal interoception and feeding, and the cellular and signaling basis of sexually dimorphic metabolism and physiology-and how these findings relate to human (patho)physiology. The imaginative application of integrative physiology and related approaches in flies to questions in metabolism is expanding, and will be an engine of discovery, revealing paradigmatic features of metabolism underlying human diseases and physiological equipoise in health.

A Superfamily-wide Activity Atlas of Serine Hydrolases in Drosophila melanogaster

The serine hydrolase (SH) superfamily is, perhaps, one of the largest functional enzyme classes in all forms of life and consists of proteases, peptidases, lipases, and carboxylesterases as representative members. Consistent with the name of this superfamily, all members, without any exception to date, use a nucleophilic serine residue in the enzyme active site to perform hydrolytic-type reactions via a two-step ping-pong mechanism involving a covalent enzyme intermediate. Given the highly conserved catalytic mechanism, this superfamily has served as a classical prototype in the development of several platforms of chemical proteomics techniques, activity-based protein profiling (ABPP), to globally interrogate the functions of its different members in various native, yet complex, biological settings. While ABPP-based proteome-wide activity atlases for SH activities are available in numerous organisms, including humans, to the best of our knowledge, such an analysis for this superfamily is lacking in any insect model. To address this, we initially report a bioinformatics analysis toward the identification and categorization of nonredundant SHs in Drosophila melanogaster. Following up on this in silico analysis, leveraging discovery chemoproteomics, we identify and globally map the full complement of SH activities during various developmental stages and in different adult tissues of Drosophila. Finally, as a proof of concept of the utility of this activity atlas, we highlight sexual dimorphism in SH activities across different tissues in adult D. melanogaster, and we propose new research directions, resources, and tools that this study can provide to the fly community.

Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA Viruses

Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatiotemporal patterns of genetic variation in natural populations have been challenging, as comprehensive sampling is logistically difficult, and sequencing of entire populations costly. Here, we address these issues using a collaborative approach, sequencing 48 pooled population samples from 32 locations, and perform the first continent-wide genomic analysis of genetic variation in European Drosophila melanogaster. Our analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, identify candidate genes for local climate adaptation, and document clines in chromosomal inversion and transposable element frequencies. We also characterize variation among populations in the composition of the fly microbiome, and identify five new DNA viruses in our samples.

FlyBase 2.0: the next generation

FlyBase (flybase.org) is a knowledge base that supports the community of researchers that use the fruit fly, Drosophila melanogaster, as a model organism. The FlyBase team curates and organizes a diverse array of genetic, molecular, genomic, and developmental information about Drosophila. At the beginning of 2018, ‘FlyBase 2.0’ was released with a significantly improved user interface and new tools. Among these important changes are a new organization of search results into interactive lists or tables (hitlists), enhanced reference lists, and new protein domain graphics. An important new data class called ‘experimental tools’ consolidates information on useful fly strains and other resources related to a specific gene, which significantly enhances the ability of the Drosophila researcher to design and carry out experiments. With the release of FlyBase 2.0, there has also been a restructuring of backend architecture and a continued development of application programming interfaces (APIs) for programmatic access to FlyBase data. In this review, we describe these major new features and functionalities of the FlyBase 2.0 site and how they support the use of Drosophila as a model organism for biological discovery and translational research.

Wnt2 overexpression protects against PINK1 mutant‑induced mitochondrial dysfunction and oxidative stress

The PTEN induced putative kinase 1 (PINK1) mutation is the second most common cause of autosomal recessive adolescent Parkinson's disease (PD). Furthermore, mitochondrial disorders and oxidative stress are important mechanisms in the pathogenesis of PD. Numerous members of the Wnt family have been found to be associated with neurodegenerative diseases. Therefore, the present study investigated the role of the Wnt2 gene in PINK1B9 transgenic flies, which is a PD model, and its underlying mechanism. It was identified that overexpression of Wnt2 reduced the abnormality rate of PD transgenic Drosophila and improved their flight ability, while other intervention groups had no significant effect. Furthermore, an increase in ATP concentration normalized mitochondrial morphology, and increased the mRNA expression levels of NADH‑ubiquinone oxidoreductase chain 1 (ND1), ND42, ND75, succinate dehydrogenase complex subunits B, Cytochrome b and Cyclooxygenase 1, which are associated with Wnt2 overexpression. Moreover, overexpression of Wnt2 in PD transgenic Drosophila resulted in the downregulation of reactive oxygen species and malondialdehyde production, and increased manganese superoxide dismutase (MnSOD), while glutathione was not significantly affected. It was found that overexpression of Wnt2 did not alter the protein expression of β‑catenin in PINK1B9 transgenic Drosophila, but did increase the expression levels of PPARG coactivator 1α (PGC‑1α) and forkhead box sub‑group O (FOXO). Collectively, the present results indicated that the Wnt2 gene may have a protective effect on PD PINK1B9 transgenic Drosophila. Thus, it was speculated that the reduction of oxidative stress and the restoration of mitochondrial function via Wnt2 overexpression may be related to the PGC‑1α/FOXO/MnSOD signaling pathway in PINK1 mutant transgenic Drosophila.

Antioxidant Therapy in Parkinson's Disease: Insights from Drosophila melanogaster

Reactive oxygen species (ROS) play an important role as endogenous mediators in several cellular signalling pathways. However, at high concentrations they can also exert deleterious effects by reacting with many macromolecules including DNA, proteins and lipids. The precise balance between ROS production and their removal via numerous enzymatic and nonenzymatic molecules is of fundamental importance for cell survival. Accordingly, many neurodegenerative disorders, including Parkinson’s disease (PD), are associated with excessive levels of ROS, which induce oxidative damage. With the aim of coping with the progression of PD, antioxidant compounds are currently receiving increasing attention as potential co-adjuvant molecules in the treatment of these diseases, and many studies have been performed to evaluate the purported protective effects of several antioxidant molecules. In the present review, we present and discuss the relevance of the use of Drosophila melanogaster as an animal model with which to evaluate the therapeutic potential of natural and synthetic antioxidants. The conservation of most of the PD-related genes between humans and D. melanogaster, along with the animal’s rapid life cycle and the versatility of genetic tools, makes fruit flies an ideal experimental system for rapid screening of antioxidant-based treatments.

Drosophila and its gut microbes: a model for drug-microbiome interactions

Drosophila is an excellent system to investigate how the presence and composition of the gut microbiome influences the efficacy of therapeutic drugs and downstream consequences for host health. These opportunities derive from two key attributes of Drosophila. First, Drosophila is amenable for microbiome research, with simple, standardized methods to produce large numbers of microbiologically-sterile flies and flies with a standardized gut microbiome, thereby facilitating experimental reproducibility. Second, Drosophila is a well-established genetic model that is increasingly used to elucidate the molecular and physiological basis of lesions associated with human disease alleles; this provides the opportunity to link microbiome/drug interactions to previously-described processes shaping health and disease. In this way, Drosophila can fast-track understanding of fundamental biology to generate precise hypotheses for testing in mammalian systems. Drosophila is particularly well-suited to investigate the incidence of microbiome/drug interactions mediated by different mechanisms, including microbial drug metabolism (to active, inactive or toxic derivatives), microbial production of compounds that inhibit drug efficacy, and off-target effects of the drug on the microbiome, resulting in dysbiosis and host ill-health. Drosophila can also be used to investigate how interactions between the microbiome and host genotype may shape responses to therapeutic drugs, informing the reliability of precision medicine based exclusively on human genomic markers.

Quantifying Tissue-Specific Overexpression of FOXO in Drosophila via mRNA Fluorescence In Situ Hybridization Using Branched DNA Probe Technology

While the highly conserved FOXO transcription factors have been studied in Drosophila melanogaster for decades, the ability to accurately control and measure their tissue-specific expression is often cumbersome due to a lack of reagents and to limited, nonhomogeneous samples. The need for quantitation within a distinct cell type is particularly important because transcription factors must be expressed in specific amounts to perform their functions properly. However, the inherent heterogeneity of many samples can make evaluating cell-specific FOXO and/or FOXO load difficult. Here, we describe an extremely sensitive fluorescence in situ hybridization (FISH) approach for visualizing and quantifying multiple mRNAs with single-cell resolution in adult Drosophila cardiomyocytes. The procedure relies upon branched DNA technology, which allows several fluorescent molecules to label an individual transcript, drastically increasing the signal-to-noise ratio compared to other FISH assays. This protocol can be modified for use in various small animal models, tissue types, and for assorted nucleic acids.

Re-annotation of eight Drosophila genomes

The sequenced genomes of the Drosophila phylogeny are a central resource for comparative work supporting the understanding of the Drosophila melanogaster non-mammalian model system. These have also facilitated evolutionary studies on the selected and random differences that distinguish the thousands of extant species of Drosophila. However, full utility has been hampered by uneven genome annotation. We have generated a large expression profile dataset for nine species of Drosophila and trained a transcriptome assembly approach on D. melanogaster that best matched the extensively curated annotation. We then applied this to the other species to add more than 10000 transcript models per species. We also developed new orthologs to facilitate cross-species comparisons. We validated the new annotation of the distantly related Drosophila grimshawi with an extensive collection of newly sequenced cDNAs. This re-annotation will facilitate understanding both the core commonalities and the species differences in this important group of model organisms, and suggests a strategy for annotating the many forthcoming genomes covering the tree of life.

A rapid introduction to neurological biochemistry using Drosophila melanogaster

Short, cost-effective teaching activities are a useful way of providing an integrated view on biological processes. Here we describe a brief, hands-on workshop that allows pre-university students to explore their understanding of a neurological pathway from its chemical bases to phenotype. The workshop effectively introduces the students to data collection and analysis in an enjoyable way and at an appropriate level, determined by an end of session feedback survey. The design of the workshop can be adapted and scaled to generate diverse sessions such as university teaching practicals or summer school training workshops.

Model organism data evolving in support of translational medicine

Model organism databases (MODs) have been collecting and integrating biomedical research data for 30 years and were designed to meet specific needs of each model organism research community. The contributions of model organism research to understanding biological systems would be hard to overstate. Modern molecular biology methods and cost reductions in nucleotide sequencing have opened avenues for direct application of model organism research to elucidating mechanisms of human diseases. Thus, the mandate for model organism research and databases has now grown to include facilitating use of these data in translational applications. Challenges in meeting this opportunity include the distribution of research data across many databases and websites, a lack of data format standards for some data types, and sustainability of scale and cost for genomic database resources like MODs. The issues of widely distributed data and application of data standards are some of the challenges addressed by FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles. The Alliance of Genome Resources is now moving to address these challenges by bringing together expertly curated research data from fly, mouse, rat, worm, yeast, zebrafish, and the Gene Ontology consortium. Centralized multi-species data access, integration, and format standardization will lower the data utilization barrier in comparative genomics and translational applications and will provide a framework in which sustainable scale and cost can be addressed. This article presents a brief historical perspective on how the Alliance model organisms are complementary and how they have already contributed to understanding the etiology of human diseases. In addition, we discuss four challenges for using data from MODs in translational applications and how the Alliance is working to address them, in part by applying FAIR data principles. Ultimately, combined data from these animal models are more powerful than the sum of the parts.

Field studies reveal a close relative of C. elegans thrives in the fresh figs of Ficus septica and disperses on its Ceratosolen pollinating wasps

BACKGROUND

Biotic interactions are ubiquitous and require information from ecology, evolutionary biology, and functional genetics in order to be understood. However, study systems that are amenable to investigations across such disparate fields are rare. Figs and fig wasps are a classic system for ecology and evolutionary biology with poor functional genetics; Caenorhabditis elegans is a classic system for functional genetics with poor ecology. In order to help bridge these disciplines, here we describe the natural history of a close relative of C. elegans, Caenorhabditis inopinata, that is associated with the fig Ficus septica and its pollinating Ceratosolen wasps.

RESULTS

To understand the natural context of fig-associated Caenorhabditis, fresh F. septica figs from four Okinawan islands were sampled, dissected, and observed under microscopy. C. inopinata was found in all islands where F. septica figs were found. C.i nopinata was routinely found in the fig interior and almost never observed on the outside surface. C. inopinata was only found in pollinated figs, and C. inopinata was more likely to be observed in figs with more foundress pollinating wasps. Actively reproducing C. inopinata dominated early phase figs, whereas late phase figs with emerging wasp progeny harbored C. inopinata dauer larvae. Additionally, C. inopinata was observed dismounting from Ceratosolen pollinating wasps that were placed on agar plates. C. inopinata was not found on non-pollinating, parasitic Philotrypesis wasps. Finally, C. inopinata was only observed in F. septica figs among five Okinawan Ficus species sampled.

CONCLUSION

These are the first detailed field observations of C. inopinata, and they suggest a natural history where this species proliferates in early phase F. septica figs and disperses from late phase figs on Ceratosolen pollinating fig wasps. While consistent with other examples of nematode diversification in the fig microcosm, the fig and wasp host specificity of C. inopinata is highly divergent from the life histories of its close relatives and frames hypotheses for future investigations. This natural co-occurrence of the fig/fig wasp and C. inopinata study systems sets the stage for an integrated research program that can help to explain the evolution of interspecific interactions.

Integration of a faculty's ongoing research into an undergraduate laboratory teaching class in developmental biology

Traditional developmental biology laboratory classes have utilized a number of different model organisms to allow students to be exposed to diverse biological phenomena in developing organisms. This traditional approach has mainly focused on the diverse morphological and anatomical descriptions of the developing organisms. However, modern developmental biology is focusing more on conserved genetic networks which are responsible for generating conserved body patterns in developing organisms. Therefore, it is necessary to develop a new pedagogical tool to educate undergraduate biology students in the laboratory class of developmental biology with the genetic principles which are responsible for generating and controlling the developing body patterns. A new undergraduate laboratory class for developmental biology was developed in order to offer students the opportunity to explore a wide range of experimental procedures, also incorporating the instructor's on-going research. Thereby the course can serve as a bridge between research and education by combining both into a single theme. The course design involves a sequence of exercises which can be easily adapted to the faculty's ongoing research. This style of laboratory coursework could be a transitional form between a regular laboratory course and a discovery-based laboratory course. © 2017 by The International Union of Biochemistry and Molecular Biology, 46(2):141-150, 2018.

Peroxisome Protein Prediction in Drosophila melanogaster

As a laboratory animal, Drosophila melanogaster has made extensive contributions to understanding many areas of fundamental biology as well as being an effective model for human disease. Until recently, there was relatively little known about fly peroxisomes. There were early studies that examined the role of peroxisome enzymes during development of organs like the eye. However, with the advent of a well-annotated, sequenced genome, several groups have collectively determined, first by sequence homology and increasingly by functional studies, Drosophila Peroxins and related peroxisome proteins. Notably, it was shown that Drosophila peroxisome biogenesis is mediated via a well-conserved PTS1 import system. Although the fly genome encodes a Pex7 homologue, a canonical PTS2 import system does not seem to be conserved in Drosophila. Given the homology between Drosophila and Saccharomyces cerevisiae or Homo sapiens peroxisome biogenesis and function, Drosophila has emerged as an effective multicellular system to model human Peroxisome Biogenesis Disorders. Finally, Drosophila peroxisome research has recently come into its own, facilitating new discoveries into the role of peroxisomes within specific tissues, such as testes or immune cells.

Model Organisms Facilitate Rare Disease Diagnosis and Therapeutic Research

Efforts to identify the genetic underpinnings of rare undiagnosed diseases increasingly involve the use of next-generation sequencing and comparative genomic hybridization methods. These efforts are limited by a lack of knowledge regarding gene function, and an inability to predict the impact of genetic variation on the encoded protein function. Diagnostic challenges posed by undiagnosed diseases have solutions in model organism research, which provides a wealth of detailed biological information. Model organism geneticists are by necessity experts in particular genes, gene families, specific organs, and biological functions. Here, we review the current state of research into undiagnosed diseases, highlighting large efforts in North America and internationally, including the Undiagnosed Diseases Network (UDN) (Supplemental Material, File S1) and UDN International (UDNI), the Centers for Mendelian Genomics (CMG), and the Canadian Rare Diseases Models and Mechanisms Network (RDMM). We discuss how merging human genetics with model organism research guides experimental studies to solve these medical mysteries, gain new insights into disease pathogenesis, and uncover new therapeutic strategies.

DrosAfrica: Building an African biomedical research community using Drosophila

The impact that research has on shaping the future of societies is perhaps as significant as never before. One of the problems for most regions in Africa is poor quality and quantity of research-based education, as well as low level of funding. Hence, African researchers produce only around one percent of the world's research. We believe that research with Drosophila melanogaster can contribute to changing that. As seen before in other places, Drosophila can be used as a powerful and cost-effective model system to scale-up and improve both academia and research output. The DrosAfrica project was founded to train and establish a connected community of researchers using Drosophila as a model system to investigate biomedical problems in Africa. Since founding, the project has trained eighty scientists from numerous African countries, and continues to grow. Here, we describe the DrosAfrica project, its conception and its mission. We also give detailed insights into DrosAfrica's approaches to achieve its aims, as well as future perspectives, and opportunities beyond Africa.

Science communication in the field of fundamental biomedical research (editorial)

The aim of this special issue on science communication is to inspire and help scientists who are taking part or want to take part in science communication and engage with the wider public, clinicians, other scientists or policy makers. For this, some articles provide concise and accessible advice to individual scientists, science networks, or learned societies on how to communicate effectively; others share rationales, objectives and aims, experiences, implementation strategies and resources derived from existing long-term science communication initiatives. Although this issue is primarily addressing scientists working in the field of biomedical research, much of it similarly applies to scientists from other disciplines. Furthermore, we hope that this issue will also be used as a helpful resource by academic science communicators and social scientists, as a collection that highlights some of the major communication challenges that the biomedical sciences face, and which provides interesting case studies of initiatives that use a breadth of strategies to address these challenges. In this editorial, we first discuss why we should communicate our science and contemplate some of the different approaches, aspirations and definitions of science communication. We then address the specific challenges that researchers in the biomedical sciences are faced with when engaging with wider audiences. Finally, we explain the rationales and contents of the different articles in this issue and the various science communication initiatives and strategies discussed in each of them, whilst also providing some information on the wide range of further science communication activities in the biomedical sciences that could not all be covered here.