Project description:17-ethinylestradiol (EE2) is a synthetic estrogen commonly used as an active substance in oral contraceptives. It is frequently found in waste water effluent and raise concern due to its persistent nature. EE2 binds to estrogen receptors with similar affinity to oestradiol and acts as one of the most potent hormone mimics found in the environment. Estrogen is involved in many aspects of the development of the neuroendocrine system influencing both brain structure and behavior. We and others have reported a significant effect on non-reproductive behaviors in adult fish and in recent studies we found that developmental exposure to EE2 resulted in an anxiogenic phenotype as adults even after a long remediation period. In this study we aim to study possible mechanisms behind the behavior alterations of zebrafish developmentally exposed to EE2 by sequencing the whole brain transcriptome. Zebrafish embryos were exposed to 0, 2.14 and 7.34 ng/L EE2 from 1 day to 80 days post fertilization. After the exposure period a remediation period of 120 days followed before the fish were sampled. 3 male brains from the control group (0 ng/L) and the 2.14 ng/L group were sampled and 3 female brains from the control group (0 ng/L) and 7.34 ng/L were sampled.
Project description:The exon junction complex (EJC) is composed of three core proteins Rbm8a, Magoh and Eif4a3 and is thought to play a role in several post-transcriptional processes. In this study we focus on understanding the role of EJC in zebrafish development. We identified transcriptome-wide binding sites of EJC in zebrafish via RNA:protein immunoprecipitation followed by deep sequencing (RIP-Seq). We find that, as in human cells, zebrafish EJC is deposited about 24 nts upstream of exon-exon junctions. We also identify transcripts regulated by Rbm8a and Magoh in zebrafish embryos using whole embryo RNA-seq from rbm8a mutant, magoh mutant and wild-type sibling embryos. This study shows that nonsense mediated mRNA decay is dysregulated in zebrafish EJC mutants.
Project description:Low temperatures may cause severe growth inhibition and mortality in fish. In order to understand the mechanism of cold tolerance, a transgenic zebrafish Tg (smyd1:m3ck) model was established to study the effect of energy homeostasis during cold stress. The muscle-specific promoter Smyd1 was used to express the carp muscle form III of creatine kinase (M3-CK), which maintained enzymatic activity at a relatively low temperature, in zebrafish skeletal muscle. In situ hybridization showed that M3-CK was expressed strongly in the skeletal muscle. When exposed to 13°C, Tg (smyd1:m3ck) fish maintained their swimming behavior, while the wild-type could not. Energy measurements showed that the concentration of ATP increased in Tg (smyd1:m3ck) versus wild-type fish at 28°C. After 2 h at 13°C, ATP concentrations were 2.16-fold higher in Tg (smyd1:m3ck) than in wild-type (P < 0.05). At 13°C, the ATP concentration in Tg (smyd1:m3ck) fish and wild-type fish was 63.3% and 20.0%, respectively, of that in wild-type fish at 28°C. Microarray analysis revealed differential expression of 1249 transcripts in Tg (smyd1:m3ck) versus wild-type fish under cold stress. Biological processes that were significantly overrepresented in this group included circadian rhythm, energy metabolism, lipid transport, and metabolism. These results are clues to understanding the mechanisms underlying temperature acclimation in fish.
Project description:Domesticated animal populations often show profound reductions in predator avoidance and fear-related behavior compared to wild populations. These reductions are remarkably consistent and have been observed in a diverse array of taxa including fish, birds, and mammals. Experiments conducted in common environments indicate that these behavioral differences have a genetic basis. In this study, we quantified differences in fear-related behavior between wild and domesticated zebrafish strains and used microarray analysis to identify genes that may be associated with this variation. Compared to wild zebrafish, domesticated zebrafish spent more time near the water surface and were more likely to occupy the front of the aquarium nearest a human observer. Microarray analysis of the brain transcriptome identified high levels of population variation in gene expression, with 1,749 genes significantly differentially expressed among populations. Genes that varied among populations belonged to functional categories that included DNA repair, DNA photolyase activity, response to light stimulus, neuron development and axon guidance, cell death, iron-binding, chromatin reorganization, and homeobox genes. Comparatively fewer genes (112) differed between domesticated and wild strains with notable genes including gpr177 (wntless), selenoprotein P1a, synaptophysin and synaptoporin, and acyl-CoA binding domain containing proteins (acbd3 and acbd4). Microarray analysis identified a large number of genes that differed among zebrafish populations and may underlie behavioral domestication. Comparisons with similar microarray studies of domestication in rainbow trout and canids identified sixteen evolutionarily or functionally related genes that may represent components of shared molecular mechanisms underlying convergent behavioral evolution during vertebrate domestication. However, this conclusion must be tempered by limitations associated with comparisons among microarray studies and the low level of population-level replication inherent to these studies. RNA was extracted from the brains of fish from four behaviorally distinct strains of zebrafish and hybridized on Affymetrix microarrays. Brains from 2-5 individual fish of the same sex were pooled and homogenized together, for a total of two biological replicate pools per sex per strain (16 microarrays total).
Project description:Domesticated animal populations often show profound reductions in predator avoidance and fear-related behavior compared to wild populations. These reductions are remarkably consistent and have been observed in a diverse array of taxa including fish, birds, and mammals. Experiments conducted in common environments indicate that these behavioral differences have a genetic basis. In this study, we quantified differences in fear-related behavior between wild and domesticated zebrafish strains and used microarray analysis to identify genes that may be associated with this variation. Compared to wild zebrafish, domesticated zebrafish spent more time near the water surface and were more likely to occupy the front of the aquarium nearest a human observer. Microarray analysis of the brain transcriptome identified high levels of population variation in gene expression, with 1,749 genes significantly differentially expressed among populations. Genes that varied among populations belonged to functional categories that included DNA repair, DNA photolyase activity, response to light stimulus, neuron development and axon guidance, cell death, iron-binding, chromatin reorganization, and homeobox genes. Comparatively fewer genes (112) differed between domesticated and wild strains with notable genes including gpr177 (wntless), selenoprotein P1a, synaptophysin and synaptoporin, and acyl-CoA binding domain containing proteins (acbd3 and acbd4). Microarray analysis identified a large number of genes that differed among zebrafish populations and may underlie behavioral domestication. Comparisons with similar microarray studies of domestication in rainbow trout and canids identified sixteen evolutionarily or functionally related genes that may represent components of shared molecular mechanisms underlying convergent behavioral evolution during vertebrate domestication. However, this conclusion must be tempered by limitations associated with comparisons among microarray studies and the low level of population-level replication inherent to these studies.
Project description:Low temperatures may cause severe growth inhibition and mortality in fish. In order to understand the mechanism of cold tolerance, a transgenic zebrafish Tg (smyd1:m3ck) model was established to study the effect of energy homeostasis during cold stress. The muscle-specific promoter Smyd1 was used to express the carp muscle form III of creatine kinase (M3-CK), which maintained enzymatic activity at a relatively low temperature, in zebrafish skeletal muscle. In situ hybridization showed that M3-CK was expressed strongly in the skeletal muscle. When exposed to 13M-BM-0C, Tg (smyd1:m3ck) fish maintained their swimming behavior, while the wild-type could not. Energy measurements showed that the concentration of ATP increased in Tg (smyd1:m3ck) versus wild-type fish at 28M-BM-0C. After 2 h at 13M-BM-0C, ATP concentrations were 2.16-fold higher in Tg (smyd1:m3ck) than in wild-type (P < 0.05). At 13M-BM-0C, the ATP concentration in Tg (smyd1:m3ck) fish and wild-type fish was 63.3% and 20.0%, respectively, of that in wild-type fish at 28M-BM-0C. Microarray analysis revealed differential expression of 1249 transcripts in Tg (smyd1:m3ck) versus wild-type fish under cold stress. Biological processes that were significantly overrepresented in this group included circadian rhythm, energy metabolism, lipid transport, and metabolism. These results are clues to understanding the mechanisms underlying temperature acclimation in fish. Gene expression in triplicate samples of m3ck-13M-BM-0C, m3ck-28M-BM-0C, wt-13M-BM-0C, and wt-28M-BM-0C was assessed. Twelve microarray experiments were performed, each with three fish.
Project description:This project aimed at identifying developmental stage specific transcript profiles for catecholaminergic neurons in embryos and early larvae of zebrafish (Danio rerio). Catecholaminergic neurons were labeled using transgenic zebrafish strains to drive expression of GFP. At stages 24, 36, 72 and 96 hrs post fertilization, embryos were dissociated and GFP expressing cells sorted by FACS. Isolated RNAs were processed using either polyA selection and libray generation or NanoCAGE. This is the first effort to determine stage specific mRNA profiles of catecholaminergic neurons in zebrafish. Catecholaminergic neurons were labeled by four different strategies: (1) 24 hrs old embryos: we used the ETvmat2:GFP transgenic line (Wen et al. 2007). Visualization of monoaminergic neurons and neurotoxicity of MPTP in live transgenic zebrafish. Dev Biol. 2008 Vol 314 p84-92) which at this early stage labels catecholaminergic neurons in posterior tuberculum and locus coeruleus; (2) 24 hrs old embryos: we used Tg(otpb.A:egfp)zc48 transgenic line (Fujimoto et al. Identification of a dopaminergic enhancer indicates complexity in vertebrate dopamine neuron phenotype specification. Dev Biol 2011, Vol 352, p393–404) which at this stage label ventral diencephalic dopaminergic neurons and some preoptic neurons. (3) For 72 and 96 hrs old zebrafish larvae we used a th:GFP BAC transgenic lines that labels catecholaminergic neurons (Tay et al., Comprehensive catecholaminergic projectome analysis reveals single-neuron integration of zebrafish ascending and descending dopaminergic systems. Nat Comms 2011 Vol 2, 171; also: T. Leng and W. Driever, unpublished). (4) for the 36 and 48 hrs old zebrafish larvae we used a th:Gal4VP16 driver and UAS:EGFP responder transgenic line system to label catecholaminergic cells (Fernandes et al., Deep brain photoreceptors control light-seeking behavior in zebrafish larvae. Curr Biol. 2012 Vol 22 DOI 10.1016/j.cub.2012.08.016). We used the different transgenic lines, because lines (3) and (4) do not efficiently label catecholaminergic neurons at early stages, while lines (1) and (2) also have GFP expression in several other non-catecholaminergic populations at later stages of development. Embryos were dissociated and catecholaminergic neurons were FACS sorted from GFP-tagged zebrafish (Manoli and Driever, 2012, Cold Spring Harbor Protoc. DOI 10.1101/pdb.prot069633). RNA was either processed for NanoCAGE, or mRNA was isolated and amplified. cDNA was sequenced by Illumina technique. This data submission is a series of data files consisting of three independent experiments with diffrent RNA-Seq depth: Samples 1-4 (NanoCage): Samples 5-8 (RNA-Seq high read numbers), and SAmples 9-12 (RNA-Seq low read numbers).