Genetic Model Organism Research Articles

Genetic variation and RNA binding proteins: tools and techniques to detect functional polymorphisms.

At its most fundamental level the goal of genetics is to connect genotype to phenotype. This question is asked at a basic level evaluating the role of genes and pathways in genetic model organism. Increasingly, this question is being asked in the clinic. Genomes of individuals and populations are being sequenced and compared. The challenge often comes at the stage of analysis. The variant positions are analyzed with the hope of understanding human disease. However after a genome or exome has been sequenced, the researcher is often deluged with hundreds of potentially relevant variations. Traditionally, amino-acid changing mutations were considered the tractable class of disease-causing mutations; however, mutations that disrupt noncoding elements are the subject of growing interest. These noncoding changes are a major avenue of disease (e.g., one in three hereditary disease alleles are predicted to affect splicing). Here, we review some current practices of medical genetics, the basic theory behind biochemical binding and functional assays, and then explore technical advances in how variations that alter RNA protein recognition events are detected and studied. These advances are advances in scale-high-throughput implementations of traditional biochemical assays that are feasible to perform in any molecular biology laboratory. This chapter utilizes a case study approach to illustrate some methods for analyzing polymorphisms. The first characterizes a functional intronic SNP that deletes a high affinity PTB site using traditional low-throughput biochemical and functional assays. From here we demonstrate the utility of high-throughput splicing and spliceosome assembly assays for screening large sets of SNPs and disease alleles for allelic differences in gene expression. Finally we perform three pilot drug screens with small molecules (G418, tetracycline, and valproic acid) that illustrate how compounds that rescue specific instances of differential pre-mRNA processing can be discovered.

Feature Detection and Orientation Tuning in the Drosophila Central Brain

Many animals, including insects, use visual landmarks for orientation and navigation. In Drosophila melanogaster, behavioral genetics studies have identified the central complex as being required for innate attraction to particular visual features, and for short- and long-term memory for visual patterns. Studies in several insects suggest that the region is also important for motor coordination. Here we present an analysis of the first physiological recordings from this region in Drosophila. We focused on neurons implicated in orientation and place memory in the fly: ring neurons of the ellipsoid body, a sub-region of the central complex, We show [1] that each ring neuron sends dendrites to a single microglomerulus in the lateral triangle (LTr), a multi-glomerular brain region that is a major source of input to the ellipsoid body. We studied the responses of complete populations of ring neuron classes using two-photon calcium imaging in head-fixed flies that were flying or walking on an air-supported ball in an LED arena. LTr microglomeruli show retinotopically organized receptive fields (RF) that are tuned to specific orientations and features with excitatory and inhibitory subfields. LTr responses to visual stimuli are diminished during flight, but are not significantly modulated during walking. A simple linear model based on LTr responses recorded during closed-loop flight behavior, is sufficient to compute the fly's heading relative to visual features in its surroundings. We suggest that ring neurons may provide the visual pattern information necessary for a variety of orienting and navigation behaviors in the fly. Our results provide the first evidence for retinotopic maps in higher brain structures in Drosophila, and set the stage for mechanistic studies of sensorimotor integration underlying visually-guided decision-making in this genetic model organism. [1] Seelig J.D. and Jayaraman, V., Nature, 2013, in press.

Elemental bioimaging of manganese uptake in C. elegans

A new method for elemental bioimaging with laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) was developed and applied to study the uptake of manganese (Mn) in Caenorhabditis elegans (C. elegans). C. elegans is a well-established model organism in neuroscience, genetics and genomics, which has been extensively studied to decipher mechanisms of heavy metal induced toxicity. Knowledge about the distribution of manganese (Mn) and other metals in this organism will be helpful in elucidating pathways and mechanisms of transport, distribution and excretion. The LA-ICP-MS method requires limited sample preparation and can be used rapidly and easily to visualize the Mn distribution in C. elegans. Due to thorough optimization of the analytical parameters, intense Mn signals in C. elegans wild-type (WT) and mutants were obtained at a spatial resolution as small as 4 μm, thus proving the suitability of LA-ICP-MS to study the uptake of metals in C. elegans.

Dopamine dynamics and signaling in Drosophila: an overview of genes, drugs and behavioral paradigms.

Changes in dopamine (DA) signaling have been implicated in a number of human neurologic and psychiatric disorders. Similarly, defects in DA signaling in the fruit fly, Drosophila melanogaster, have also been associated with several behavioral defects. As most genes involved in DA synthesis, transport, secretion, and signaling are conserved between species, Drosophila is a powerful genetic model organism to study the regulation of DA signaling in vivo. In this review, we will provide an overview of the genes and drugs that regulate DA biology in Drosophila. Furthermore, we will discuss the behavioral paradigms that are regulated by DA signaling in flies. By analyzing the genes and neuronal circuits that govern such behaviors using sophisticated genetic, pharmacologic, electrophysiologic, and imaging approaches in Drosophila, we will likely gain a better understanding about how this neuromodulator regulates motor tasks and cognition in humans.

IGF signaling in muscle degenerative diseases

IGF signaling in muscle degenerative diseases

α1-Antitrypsin deficiency and the hepatocytes – An elegans solution to drug discovery

Hepatocytes are metabolically active cells of the liver that play an important role in the biosynthesis of proteins including α1-antitrypsin. Mutations in the α1-antitrypsin gene can lead to protein misfolding, polymerization/aggregation and retention of protein within the endoplasmic reticulum of hepatocytes. The intracellular accumulation of α1-antitrypsin aggregates can lead to liver disease and increased likelihood of developing hepatocellular carcinomas. Of note, only ∼10% of individuals with α1-antitrypsin-deficiency develop severe liver disease suggesting that there are other genetic and/or environmental factors that determine disease outcome. The nematode, Caenorhabditis elegans, is a powerful genetic model organism to study molecular aspects of human disease. In this review, we discuss the functional similarities between the intestinal cells of C. elegans and human hepatocytes and how a C. elegans model of α1-antitrypsin-deficiency can be used as a tool for identifying genetic modifiers and small molecule drugs.

Featured Article: Characterization of cultured multipotent zebrafish neural crest cells

The neural crest is a unique cell population associated with vertebrate evolution. Neural crest cells (NCCs) are characterized by their multipotent and migratory potentials. While zebrafish is a powerful genetic model organism, the isolation and culture of zebrafish NCCs would provide a useful adjunct to fully interrogate the genetic networks that regulate NCC development. Here we report for the first time the isolation, in vitro culture, and characterization of NCCs from zebrafish embryos. NCCs were isolated from transgenic sox10:egfp embryos using fluorescence activated cell sorting and cultured in complex culture medium without feeder layers. NCC multilineage differentiation was determined by immunocytochemistry and real-time qPCR, cell migration was assessed by wound healing assay, and the proliferation index was calculated by immunostaining against the mitosis marker phospho-histone H3. Cultured NCCs expressed major neural crest lineage markers such as sox10, sox9a, hnk1, p75, dlx2a, and pax3, and the pluripotency markers c-myc and klf4. We showed that the cultured NCCs can be differentiated into multiple neural crest lineages, contributing to neurons, glial cells, smooth muscle cells, melanocytes, and chondrocytes. We applied the NCC in vitro model to study the effect of retinoic acid on NCC development. We showed that retinoic acid had a profound effect on NCC morphology and differentiation, significantly inhibited proliferation and enhanced cell migration. The availability of high numbers of NCCs and reproducible functional assays offers new opportunities for mechanistic studies of neural crest development, in genetic and chemical biology applications.

Transcriptome analysis of the filamentous fungus Aspergillus nidulans directed to the global identification of promoters.

BackgroundThe filamentous fungus Aspergillus nidulans has been a tractable model organism for cell biology and genetics for over 60 years. It is among a large number of Aspergilli whose genomes have been sequenced since 2005, including medically and industrially important species. In order to advance our knowledge of its biology and increase its utility as a genetic model by improving gene annotation we sequenced the transcriptome of A. nidulans with a focus on 5′ end analysis.ResultsStrand-specific whole transcriptome sequencing showed that 80-95% of annotated genes appear to be expressed across the conditions tested. We estimate that the total gene number should be increased by approximately 1000, to 11,800. With respect to splicing 8.3% of genes had multiple alternative transcripts, but alternative splicing by exon-skipping was very rare. 75% of annotated genes showed some level of antisense transcription and for one gene, meaB, we demonstrated the antisense transcript has a regulatory role. Specific sequencing of the 5’ ends of transcripts was used for genome wide mapping of transcription start sites, allowing us to interrogate over 7000 promoters and 5′ untranslated regions.ConclusionsOur data has revealed the complexity of the A. nidulans transcriptome and contributed to improved genome annotation. The data can be viewed on the AspGD genome browser.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2164-14-847) contains supplementary material, which is available to authorized users.

A two-fly tracker that solves occlusions by dynamic programming: computational analysis of Drosophila courtship behaviour

This paper introduces a two-fly tracker which focuses on an approach to model and to solve occlusions as an optimization problem. Automated tracking of genetic model organisms is gaining importance since geneticists and neuroscientists have biological tools to systematically study the connection between genes, neurons and behaviour by performing large-scale behavioural experiments. This paper is about a fly tracker that provides automated quantification for such functional behaviour studies on Drosophila courtship behaviour. It enables measurement and visualization of behavioural differences in genetically modified fly pairs. The developed system provides solutions for all major challenges that were identified: arena detection, segmentation, quality control, resolving occlusions, resolving heading and detection of behaviour events. Among all challenges especially resolving occlusions turned out to be of particular importance and huge effort was invested to resolve that particular problem. Our tests show that our system is capable to identify flies through an entire video with an accuracy of 99.97%. This result is achieved by combining different types of local methods and modeling the global identity assignment as an optimization problem.

Volume Determination with Two Standards Allows Absolute Quantification and Improved Chemometric Analysis of Metabolites by NMR from Submicroliter Samples

The accurate measurement of metabolite concentrations in miniscule biological sample volumes is often desirable, yet it remains challenging. In many cases, the starting analyte volumes are imprecisely known, or not directly measurable, and hence absolute metabolite concentrations are difficult to calculate. Here, we introduce volume determination using two standards (VDTS) as a general quantitative method for the analysis of polar metabolites in submicrolitre samples using 1H NMR spectroscopy. This approach permits the back calculation of absolute metabolite concentrations from small biological samples of unknown volume. Where small sample volumes are also variable, VDTS can improve multivariate chemometric analysis. In this context, principal component analysis (PCA) yielded more logically consistent and biologically insightful outputs when we used volume-corrected spectra, calculated using VDTS, rather than probabilistic quotient normalization (PQN) of raw spectra. As proof-of-principle, the VDTS-based method and PCA were used to analyze polar metabolites in the hemolymph (blood) extracted from larvae of the very small but widely used genetic model organism Drosophila. This analysis showed that the hemolymph metabolomes of males and females are markedly different when larvae are well fed. However, gender-specific metabolomes tend to converge when larval dietary nutrients are restricted. We discuss the biological implications of these surprising results and compare and contrast them to previous analyses of Drosophila hemolymph and mammalian blood plasma. Together, these findings reveal an interesting and hitherto unknown sexual dimorphism in systemic Drosophila metabolites, clearly warranting further biological investigation. Importantly, the VDTS approach should be adaptable to many different analytical platforms, including mass spectrometry.

Modelling the CDK-dependent transcription cycle in fission yeast

CDKs (cyclin-dependent kinases) ensure directionality and fidelity of the eukaryotic cell division cycle. In a similar fashion, the transcription cycle is governed by a conserved subfamily of CDKs that phosphorylate Pol II (RNA polymerase II) and other substrates. A genetic model organism, the fission yeast Schizosaccharomyces pombe, has yielded robust models of cell-cycle control, applicable to higher eukaryotes. From a similar approach combining classical and chemical genetics, fundamental principles of transcriptional regulation by CDKs are now emerging. In the present paper, we review the current knowledge of each transcriptional CDK with respect to its substrate specificity, function in transcription and effects on chromatin modifications, highlighting the important roles of CDKs in ensuring quantity and quality control over gene expression in eukaryotes.

Insights into the functions of the death associated protein kinases from C. elegans and other invertebrates

The death associated protein kinases (DAPK) are a phylogenetically widespread family of calcium-regulated serine/threonine kinases, initially identified from their roles in apoptosis. Subsequent studies, principally in vertebrate cells or models, have elucidated the functions of the DAPK family in autophagy and tumor suppression. Invertebrate genetic model organisms such as Drosophila and C. elegans have revealed additional functions for DAPK and related kinases. In the nematode C. elegans, the sole DAPK family member DAPK-1 positively regulates starvation-induced autophagy. Genetic analysis in C. elegans has revealed that DAPK-1 also acts as a negative regulator of epithelial innate immune responses in the epidermis. This negative regulatory role for DAPK in innate immunity may be analogous to the roles of mammalian DAPK in inflammatory responses.

Rapid Creation of Forward-Genetics Tools for C. briggsae Using TALENs: Lessons for Nonmodel Organisms

Although evolutionary studies of gene function often rely on RNA interference, the ideal approach would use reverse genetics to create null mutations for cross-species comparisons and forward genetics to identify novel genes in each species. We have used transcription activator-like effector nucleases (TALENs) to facilitate both approaches in Caenorhabditis nematodes. First, by combining golden gate cloning and TALEN technology, we can induce frameshifting mutations in any gene. Second, by combining this approach with bioinformatics we can predict and create the resources needed for forward genetic analysis in species like Caenorhabditis briggsae. Although developing genetic model organisms used to require years to isolate marker mutations, balancers, and tools, with TALENs, these reagents can now be produced in months. Furthermore, the analysis of nonsense mutants in related model organisms allows a directed approach for making these markers and tools. When used together, these methods could simplify the adaptation of other organisms for forward and reverse genetics.

YeastNet v3: a public database of data-specific and integrated functional gene networks forSaccharomyces cerevisiae

Saccharomyces cerevisiae, i.e. baker’s yeast, is a widely studied model organism in eukaryote genetics because of its simple protocols for genetic manipulation and phenotype profiling. The high abundance of publicly available data that has been generated through diverse ‘omics’ approaches has led to the use of yeast for many systems biology studies, including large-scale gene network modeling to better understand the molecular basis of the cellular phenotype. We have previously developed a genome-scale gene network for yeast, YeastNet v2, which has been used for various genetics and systems biology studies. Here, we present an updated version, YeastNet v3 (available at http://www.inetbio.org/yeastnet/), that significantly improves the prediction of gene–phenotype associations. The extended genome in YeastNet v3 covers up to 5818 genes (∼99% of the coding genome) wired by 362 512 functional links. YeastNet v3 provides a new web interface to run the tools for network-guided hypothesis generations. YeastNet v3 also provides edge information for all data-specific networks (∼2 million functional links) as well as the integrated networks. Therefore, users can construct alternative versions of the integrated network by applying their own data integration algorithm to the same data-specific links.

Expansion of the Gateway MultiSite Recombination Cloning Toolkit

Precise manipulation of transgene expression in genetic model organisms has led to advances in understanding fundamental mechanisms of development, physiology, and genetic disease. Transgene construction is, however, a precondition of transgene expression, and often limits the rate of experimental progress. Here we report an expansion of the modular Gateway MultiSite recombination-cloning platform for high efficiency transgene assembly. The expansion includes two additional destination vectors and entry clones for the LexA binary transcription system, among others. These new tools enhance the expression levels possible with Gateway MultiSite generated transgenes and make possible the generation of LexA drivers and reporters with Gateway MultiSite cloning. In vivo data from transgenic Drosophila functionally validating each novel component are presented and include neuronal LexA drivers, LexAop2 red and green fluorescent synaptic vesicle reporters, TDC2 and TRH LexA, GAL4, and QF drivers, and LexAop2, UAS, and QUAS channelrhodopsin2 T159C reporters.

Imaging Centrosomes in Fly Testes

Centrosomes are conserved microtubule-based organelles whose structure and function change dramatically throughout the cell cycle and cell differentiation. Centrosomes are essential to determine the cell division axis during mitosis and to nucleate cilia during interphase. The identity of the proteins that mediate these dynamic changes remains only partially known, and the function of many of the proteins that have been implicated in these processes is still rudimentary. Recent work has shown that Drosophila spermatogenesis provides a powerful system to identify new proteins critical for centrosome function and formation as well as to gain insight into the particular function of known players in centrosome-related processes. Drosophila is an established genetic model organism where mutants in centrosomal genes can be readily obtained and easily analyzed. Furthermore, recent advances in the sensitivity and resolution of light microscopy and the development of robust genetically tagged centrosomal markers have transformed the ability to use Drosophila testes as a simple and accessible model system to study centrosomes. This paper describes the use of genetically-tagged centrosomal markers to perform genetic screens for new centrosomal mutants and to gain insight into the specific function of newly identified genes.

Imaging Centrosomes in Fly Testes

Centrosomes are conserved microtubule-based organelles whose structure and function change dramatically throughout the cell cycle and cell differentiation. Centrosomes are essential to determine the cell division axis during mitosis and to nucleate cilia during interphase. The identity of the proteins that mediate these dynamic changes remains only partially known, and the function of many of the proteins that have been implicated in these processes is still rudimentary. Recent work has shown that Drosophila spermatogenesis provides a powerful system to identify new proteins critical for centrosome function and formation as well as to gain insight into the particular function of known players in centrosome-related processes. Drosophila is an established genetic model organism where mutants in centrosomal genes can be readily obtained and easily analyzed. Furthermore, recent advances in the sensitivity and resolution of light microscopy and the development of robust genetically tagged centrosomal markers have transformed the ability to use Drosophila testes as a simple and accessible model system to study centrosomes. This paper describes the use of genetically-tagged centrosomal markers to perform genetic screens for new centrosomal mutants and to gain insight into the specific function of newly identified genes.

Recombineering Homologous Recombination Constructs in <em>Drosophila</em>

The continued development of techniques for fast, large-scale manipulation of endogenous gene loci will broaden the use of Drosophila melanogaster as a genetic model organism for human-disease related research. Recent years have seen technical advancements like homologous recombination and recombineering. However, generating unequivocal null mutations or tagging endogenous proteins remains a substantial effort for most genes. Here, we describe and demonstrate techniques for using recombineering-based cloning methods to generate vectors that can be used to target and manipulate endogenous loci in vivo. Specifically, we have established a combination of three technologies: (1) BAC transgenesis/recombineering, (2) ends-out homologous recombination and (3) Gateway technology to provide a robust, efficient and flexible method for manipulating endogenous genomic loci. In this protocol, we provide step-by-step details about how to (1) design individual vectors, (2) how to clone large fragments of genomic DNA into the homologous recombination vector using gap repair, and (3) how to replace or tag genes of interest within these vectors using a second round of recombineering. Finally, we will also provide a protocol for how to mobilize these cassettes in vivo to generate a knockout, or a tagged gene via knock-in. These methods can easily be adopted for multiple targets in parallel and provide a means for manipulating the Drosophila genome in a timely and efficient manner.

Zellen im Dialog: Zellfusionen im roten Brotschimmel Neurospora crassa

Cell fusion is essential for the growth and development of most eukaryotic organisms. However, the molecular mechanisms underlying this process are mostly unknown. The red bread mold Neurospora crassa serves as one of various genetic model organisms employed in cell fusion research. Fusing cells of this fungus use an unusual mode of communication. The two fusion partners coordinately switch between two physiological stages, which are probably associated with signal sending and receiving.

DevStaR: High-Throughput Quantification of C. elegans Developmental Stages

We present DevStaR, an automated computer vision and machine learning system that provides rapid, accurate, and quantitative measurements of C. elegans embryonic viability in high-throughput (HTP) applications. A leading genetic model organism for the study of animal development and behavior, C. elegans is particularly amenable to HTP functional genomic analysis due to its small size and ease of cultivation, but the lack of efficient and quantitative methods to score phenotypes has become a major bottleneck. DevStaR addresses this challenge using a novel hierarchical object recognition machine that rapidly segments, classifies, and counts animals at each developmental stage in images of mixed-stage populations of C. elegans. Here, we describe the algorithmic design of the DevStaR system and demonstrate its performance in scoring image data acquired in HTP screens.