38
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mutation of NEKL-4/NEK10 and TTLL genes suppress neuronal ciliary degeneration caused by loss of CCPP-1 deglutamylase function

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Ciliary microtubules are subject to post-translational modifications that act as a “Tubulin Code” to regulate motor traffic, binding proteins and stability. In humans, loss of CCP1, a cytosolic carboxypeptidase and tubulin deglutamylating enzyme, causes infantile-onset neurodegeneration. In C. elegans, mutations in ccpp-1, the homolog of CCP1, result in progressive degeneration of neuronal cilia and loss of neuronal function. To identify genes that regulate microtubule glutamylation and ciliary integrity, we performed a forward genetic screen for suppressors of ciliary degeneration in ccpp-1 mutants. We isolated the ttll-5(my38) suppressor, a mutation in a tubulin tyrosine ligase-like glutamylase gene. We show that mutation in the ttll-4, ttll-5, or ttll-11 gene suppressed the hyperglutamylation-induced loss of ciliary dye filling and kinesin-2 mislocalization in ccpp-1 cilia. We also identified the nekl-4(my31) suppressor, an allele affecting the NIMA (Never in Mitosis A)-related kinase NEKL-4/NEK10. In humans, NEK10 mutation causes bronchiectasis, an airway and mucociliary transport disorder caused by defective motile cilia. C. elegans NEKL-4 localizes to the ciliary base but does not localize to cilia, suggesting an indirect role in ciliary processes. This work defines a pathway in which glutamylation, a component of the Tubulin Code, is written by TTLL-4, TTLL-5, and TTLL-11; is erased by CCPP-1; is read by ciliary kinesins; and its downstream effects are modulated by NEKL-4 activity. Identification of regulators of microtubule glutamylation in diverse cellular contexts is important to the development of effective therapies for disorders characterized by changes in microtubule glutamylation. By identifying C. elegans genes important for neuronal and ciliary stability, our work may inform research into the roles of the tubulin code in human ciliopathies and neurodegenerative diseases.

          Author summary

          Cilia are microtubule-based organelles that play essential roles in human development and health. Ciliopathies are caused by abnormalities in the structure or function of primary cilia, with polycystic kidney disease (PKD) being a common clinical phenotype. As cilia are found on most non-dividing cells in the human body, ciliopathies often display extrarenal manifestations including neurological disorders and retinal degeneration. The Tubulin Code–combinatorial use of tubulin isotypes and post-translational modifications–dictates ciliary structure, motor-based transport, and function. Mutation in the tubulin deglutamylase ccpp-1 (cytosolic carboxypeptidase) results in ciliary hyperglutamylation and degeneration. C. elegans ccpp-1 ciliary degeneration is suppressed by a mutation in any of three TTLL (tubulin tyrosine ligase-like) glutamylase genes, indicating that regulated glutamylation is critically important for ciliary homeostasis. Pathological hyperglutamylation caused by CCP deglutamylase mutations are associated with human retinal degeneration and murine progressive neurodegeneration and sperm immotility. ccpp-1 ciliary degeneration is also suppressed by a mutation in the kinase NEKL-4/NEK10. NEK kinases are implicated in polycystic kidney disease and other ciliopathies and NEKL-4/NEK10 is important for ciliary stability in C. elegans. By identifying C. elegans genes important for neuronal and ciliary stability, “the worm” may inform research into human ciliopathies and neurodegenerative diseases.

          Related collections

          Most cited references97

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
            • Record: found
            • Abstract: found
            • Article: not found

            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

              High-throughput sequencing platforms are generating massive amounts of genetic variation data for diverse genomes, but it remains a challenge to pinpoint a small subset of functionally important variants. To fill these unmet needs, we developed the ANNOVAR tool to annotate single nucleotide variants (SNVs) and insertions/deletions, such as examining their functional consequence on genes, inferring cytogenetic bands, reporting functional importance scores, finding variants in conserved regions, or identifying variants reported in the 1000 Genomes Project and dbSNP. ANNOVAR can utilize annotation databases from the UCSC Genome Browser or any annotation data set conforming to Generic Feature Format version 3 (GFF3). We also illustrate a ‘variants reduction’ protocol on 4.7 million SNVs and indels from a human genome, including two causal mutations for Miller syndrome, a rare recessive disease. Through a stepwise procedure, we excluded variants that are unlikely to be causal, and identified 20 candidate genes including the causal gene. Using a desktop computer, ANNOVAR requires ∼4 min to perform gene-based annotation and ∼15 min to perform variants reduction on 4.7 million variants, making it practical to handle hundreds of human genomes in a day. ANNOVAR is freely available at http://www.openbioinformatics.org/annovar/ .

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: Investigation
                Role: Formal analysisRole: InvestigationRole: Resources
                Role: Formal analysisRole: InvestigationRole: Resources
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: 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
                16 October 2020
                October 2020
                : 16
                : 10
                : e1009052
                Affiliations
                [1 ] Department of Genetics and Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, United States of America
                [2 ] Biology Department, Montclair State University, Montclair, NJ, United States of America
                [3 ] National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
                Washington University School of Medicine, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2615-2294
                https://orcid.org/0000-0003-4839-4910
                https://orcid.org/0000-0002-4277-7657
                https://orcid.org/0000-0001-8150-7222
                https://orcid.org/0000-0001-7554-2953
                https://orcid.org/0000-0003-3367-6392
                https://orcid.org/0000-0002-8599-2031
                https://orcid.org/0000-0002-3517-5973
                https://orcid.org/0000-0003-4483-2952
                https://orcid.org/0000-0001-7580-1441
                Article
                PGENETICS-D-20-00815
                10.1371/journal.pgen.1009052
                7592914
                33064774
                9d37d000-c425-454a-b0b8-8709293e11df

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 22 May 2020
                : 14 August 2020
                Page count
                Figures: 7, Tables: 2, Pages: 27
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100005200, New Jersey Commission on Spinal Cord Research;
                Award ID: CSCR15IRG014
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: DK116606
                Award Recipient :
                This work was funded by the New Jersey Commission for Spinal Cord Research (NJCSCR) CSCR15IRG014 to R. O.; NIH DK116606 to M. M. B.; NIH Institutional Research and Academic Career Development Award (IRACDA) K12GM093854 to J. D. W; and the Intramural Research Program of the National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (H.S. and A.G.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-10-28
                All relevant data are within the manuscript and its Supporting Information files.

                Genetics
                Genetics

                Comments

                Comment on this article

                Related Documents Log