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      mRNA processing in mutant zebrafish lines generated by chemical and CRISPR-mediated mutagenesis produces unexpected transcripts that escape nonsense-mediated decay

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          Abstract

          As model organism-based research shifts from forward to reverse genetics approaches, largely due to the ease of genome editing technology, a low frequency of abnormal phenotypes is being observed in lines with mutations predicted to lead to deleterious effects on the encoded protein. In zebrafish, this low frequency is in part explained by compensation by genes of redundant or similar function, often resulting from the additional round of teleost-specific whole genome duplication within vertebrates. Here we offer additional explanations for the low frequency of mutant phenotypes. We analyzed mRNA processing in seven zebrafish lines with mutations expected to disrupt gene function, generated by CRISPR/Cas9 or ENU mutagenesis methods. Five of the seven lines showed evidence of altered mRNA processing: one through a skipped exon that did not lead to a frame shift, one through nonsense-associated splicing that did not lead to a frame shift, and three through the use of cryptic splice sites. These results highlight the need for a methodical analysis of the mRNA produced in mutant lines before making conclusions or embarking on studies that assume loss of function as a result of a given genomic change. Furthermore, recognition of the types of adaptations that can occur may inform the strategies of mutant generation.

          Author summary

          The recent rise of reverse genetic, gene targeting methods has allowed researchers to readily generate mutations in any gene of interest with relative ease. Should these mutations have the predicted effect on the mRNA and encoded protein, we would expect many more abnormal phenotypes than are typically being seen in reverse genetic screens. Here we set out to explore some of the reasons for this discrepancy by studying seven separate mutations in zebrafish. We present evidence that thorough cDNA sequence analysis is a key step in assessing the likelihood that a given mutation will produce hypomorphic or null alleles. This study reveals that mRNA processing in the mutant background often produces transcripts that escape nonsense-mediated decay, thereby potentially preserving gene function. By understanding the ways that cells avoid the deleterious consequences of mutations, researchers can better design reverse genetic strategies to increase the likelihood of gene disruption.

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          Most cited references38

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          Identification of mammalian microRNA host genes and transcription units.

          To derive a global perspective on the transcription of microRNAs (miRNAs) in mammals, we annotated the genomic position and context of this class of noncoding RNAs (ncRNAs) in the human and mouse genomes. Of the 232 known mammalian miRNAs, we found that 161 overlap with 123 defined transcription units (TUs). We identified miRNAs within introns of 90 protein-coding genes with a broad spectrum of molecular functions, and in both introns and exons of 66 mRNA-like noncoding RNAs (mlncRNAs). In addition, novel families of miRNAs based on host gene identity were identified. The transcription patterns of all miRNA host genes were curated from a variety of sources illustrating spatial, temporal, and physiological regulation of miRNA expression. These findings strongly suggest that miRNAs are transcribed in parallel with their host transcripts, and that the two different transcription classes of miRNAs ('exonic' and 'intronic') identified here may require slightly different mechanisms of biogenesis.
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            miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

            MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides, which negatively regulate the gene expression at the post-transcriptional level. This study describes an update of the miRTarBase (http://miRTarBase.mbc.nctu.edu.tw/) that provides information about experimentally validated miRNA-target interactions (MTIs). The latest update of the miRTarBase expanded it to identify systematically Argonaute-miRNA-RNA interactions from 138 crosslinking and immunoprecipitation sequencing (CLIP-seq) data sets that were generated by 21 independent studies. The database contains 4966 articles, 7439 strongly validated MTIs (using reporter assays or western blots) and 348 007 MTIs from CLIP-seq. The number of MTIs in the miRTarBase has increased around 7-fold since the 2014 miRTarBase update. The miRNA and gene expression profiles from The Cancer Genome Atlas (TCGA) are integrated to provide an effective overview of this exponential growth in the miRNA experimental data. These improvements make the miRTarBase one of the more comprehensively annotated, experimentally validated miRNA-target interactions databases and motivate additional miRNA research efforts.
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              The identification of genes with unique and essential functions in the development of the zebrafish, Danio rerio.

              In a large-scale screen, we isolated mutants displaying a specific visible phenotype in embryos or early larvae of the zebrafish, Danio rerio. Males were mutagenized with ethylnitrosourea (ENU) and F2 families of single pair matings between sibling F1 fish, heterozygous for a mutagenized genome, were raised. Egg lays were obtained from several crosses between F2 siblings, resulting in scoring of 3857 mutagenized genomes. F3 progeny were scored at the second, third and sixth day of development, using a stereomicroscope. In a subsequent screen, fixed embryos were analyzed for correct retinotectal projection. A total of 4264 mutants were identified. Two thirds of the mutants displaying rather general abnormalities were eventually discarded. We kept and characterized 1163 mutants. In complementation crosses performed between mutants with similar phenotypes, 894 mutants have been assigned to 372 genes. The average allele frequency is 2.4. We identified genes involved in early development, notochord, brain, spinal cord, somites, muscles, heart, circulation, blood, skin, fin, eye, otic vesicle, jaw and branchial arches, pigment pattern, pigment formation, gut, liver, motility and touch response. Our collection contains alleles of almost all previously described zebrafish mutants. From the allele frequencies and other considerations we estimate that the 372 genes defined by the mutants probably represent more than half of all genes that could have been discovered using the criteria of our screen. Here we give an overview of the spectrum of mutant phenotypes obtained, and discuss the limits and the potentials of a genetic saturation screen in the zebrafish.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                21 November 2017
                November 2017
                : 13
                : 11
                : e1007105
                Affiliations
                [1 ] Carnegie Institution for Science, Department of Embryology, Baltimore, Maryland, United States of America
                [2 ] University of Maryland School of Medicine, Department of Biochemistry and Molecular Biology, Baltimore, Maryland, United States of America
                [3 ] College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China
                [4 ] Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, United Kingdom
                [5 ] Department of Medicine, University of Cambridge, Cambridge, United Kingdom
                University of Pennsylvania School of Medicine, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-7015-5791
                http://orcid.org/0000-0002-6046-4523
                http://orcid.org/0000-0002-9432-6233
                http://orcid.org/0000-0001-6450-744X
                http://orcid.org/0000-0002-8037-7312
                Article
                PGENETICS-D-17-01266
                10.1371/journal.pgen.1007105
                5716581
                29161261
                ea8c230b-12a8-4373-a0d0-682a29aeec16
                © 2017 Anderson et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 June 2017
                : 7 November 2017
                Page count
                Figures: 6, Tables: 2, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: R01DK093399
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: R01GM63904
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: WT098051
                Award Recipient :
                Funded by: University of Maryland Baltimore
                Award Recipient :
                Funded by: Shandong Provincial Education Association for International Exchanges
                Award Recipient :
                Funded by: G. Harold and Leila Y. Mathers Charitable Foundation (US)
                Award Recipient :
                This work was supported in part by the National Institute of Diabetes and Digestive and Kidney Diseases ( https://www.niddk.nih.gov/) R01DK093399 (JLA, CMS, EMB, MS, SAF, TSM) and National Institute of General Medical Sciences ( https://www.nigms.nih.gov/) R01GM63904 (JLA, MS, SAF). EMB was also funded by the Wellcome Trust Sanger Institute ( www.sanger.ac.uk/), grant number WT098051. SJD was supported by a research fund from University of Maryland Baltimore ( http://www.medschool.umaryland.edu/). Shandong Provincial Education Association for International Exchanges ( http://en.ceaie.edu.cn/) provided a visiting professor fellowship to HW. Additional support for this work was provided by the Carnegie Institution for Science Endowment ( https://carnegiescience.edu) and the G. Harold and Leila Y. Mathers Charitable Foundation ( www.mathersfoundation.org/) (JLA, MS, SAF). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Mutation
                Point Mutation
                Biology and Life Sciences
                Genetics
                Mutation
                Nonsense Mutation
                Research and Analysis Methods
                Experimental Organism Systems
                Model Organisms
                Zebrafish
                Research and Analysis Methods
                Model Organisms
                Zebrafish
                Research and Analysis Methods
                Experimental Organism Systems
                Animal Models
                Zebrafish
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Fish
                Osteichthyes
                Zebrafish
                Biology and Life Sciences
                Genetics
                Mutation
                Biology and Life Sciences
                Developmental Biology
                Life Cycles
                Larvae
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Motif Analysis
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Biology and Life Sciences
                Computational Biology
                Genome Complexity
                Introns
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Complexity
                Introns
                Custom metadata
                vor-update-to-uncorrected-proof
                2017-12-05
                The transcript counting data for the pla2g12bsa659 mutant line are available from ENA under accession number ERP004581 (samples ERS401972-ERS401991). All other data are within the paper and its Supporting Information files.

                Genetics
                Genetics

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