Codon Usage Pattern of Genes Involved in Central Nervous System
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Translation Readthrough Mitigation Joshua A
LETTER doi:10.1038/nature18308 Translation readthrough mitigation Joshua A. Arribere1, Elif S. Cenik1, Nimit Jain2, Gaelen T. Hess3, Cameron H. Lee3, Michael C. Bassik3 & Andrew Z. Fire1,3 A fraction of ribosomes engaged in translation will fail to into the 3′ UTR can confer substantial loss of protein expression for at terminate when reaching a stop codon, yielding nascent proteins least these three 3′ UTRs in C. elegans. inappropriately extended on their C termini. Although such To test whether translation into 3′ UTRs could confer a loss of extended proteins can interfere with normal cellular processes, protein expression more generally, a two-fluorescent-reporter system known mechanisms of translational surveillance1 are insufficient to with each fluorophore transgene containing an identical 3′ UTR was protect cells from potential dominant consequences. Here, through used. Nine genes were chosen to reflect a variety of functions and a combination of transgenics and CRISPR–Cas9 gene editing in expression levels: rps-17 (small ribosomal subunit component), r74.6 Caenorhabditis elegans, we demonstrate a consistent ability of cells (dom34/pelota release factor homologue), hlh-1 (muscle transcription to block accumulation of C-terminal-extended proteins that result factor), eef-1A.1 (also known as eft-3, translation elongation factor), from failure to terminate at stop codons. Sequences encoded by myo-2 (a pharyngeal myosin), mut-16 (involved in gene/transposon the 3′ untranslated region (UTR) were sufficient to lower protein silencing), bar-1 (a beta catenin), daf-6 (involved in amphid mor- levels. Measurements of mRNA levels and translation suggested a phogenesis), and alr-1 (neuronal transcription factor). -
Insights Into Comparative Genomics, Codon Usage Bias, And
plants Article Insights into Comparative Genomics, Codon Usage Bias, and Phylogenetic Relationship of Species from Biebersteiniaceae and Nitrariaceae Based on Complete Chloroplast Genomes Xiaofeng Chi 1,2 , Faqi Zhang 1,2 , Qi Dong 1,* and Shilong Chen 1,2,* 1 Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China; [email protected] (X.C.); [email protected] (F.Z.) 2 Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China * Correspondence: [email protected] (Q.D.); [email protected] (S.C.) Received: 29 October 2020; Accepted: 17 November 2020; Published: 18 November 2020 Abstract: Biebersteiniaceae and Nitrariaceae, two small families, were classified in Sapindales recently. Taxonomic and phylogenetic relationships within Sapindales are still poorly resolved and controversial. In current study, we compared the chloroplast genomes of five species (Biebersteinia heterostemon, Peganum harmala, Nitraria roborowskii, Nitraria sibirica, and Nitraria tangutorum) from Biebersteiniaceae and Nitrariaceae. High similarity was detected in the gene order, content and orientation of the five chloroplast genomes; 13 highly variable regions were identified among the five species. An accelerated substitution rate was found in the protein-coding genes, especially clpP. The effective number of codons (ENC), parity rule 2 (PR2), and neutrality plots together revealed that the codon usage bias is affected by mutation and selection. The phylogenetic analysis strongly supported (Nitrariaceae (Biebersteiniaceae + The Rest)) relationships in Sapindales. Our findings can provide useful information for analyzing phylogeny and molecular evolution within Biebersteiniaceae and Nitrariaceae. -
Mutation Bias Shapes Gene Evolution in Arabidopsis Thaliana
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.17.156752; this version posted June 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Mutation bias shapes gene evolution in Arabidopsis thaliana 1,2† 1 1 3,4 Monroe, J. Grey , Srikant, Thanvi , Carbonell-Bejerano, Pablo , Exposito-Alonso, Moises , 5 6 7 1† Weng, Mao-Lun , Rutter, Matthew T. , Fenster, Charles B. , Weigel, Detlef 1 Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany 2 Department of Plant Sciences, University of California Davis, Davis, CA 95616, USA 3 Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, USA 4 Department of Biology, Stanford University, Stanford, CA 94305, USA 5 Department of Biology, Westfield State University, Westfield, MA 01086, USA 6 Department of Biology, College of Charleston, SC 29401, USA 7 Department of Biology and Microbiology, South Dakota State University, Brookings, SD 57007, USA † corresponding authors: [email protected], [email protected] Classical evolutionary theory maintains that mutation rate variation between genes should be random with respect to fitness 1–4 and evolutionary optimization of genic 3,5 mutation rates remains controversial . However, it has now become known that cytogenetic (DNA sequence + epigenomic) features influence local mutation probabilities 6 , which is predicted by more recent theory to be a prerequisite for beneficial mutation 7 rates between different classes of genes to readily evolve . To test this possibility, we used de novo mutations in Arabidopsis thaliana to create a high resolution predictive model of mutation rates as a function of cytogenetic features across the genome. -
Insights Into the Codon Usage Bias of 13 Severe Acute
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.01.019463; this version posted April 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Insights into The Codon Usage Bias of 13 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Isolates from Different Geo- locations Ali Mostafa Anwar *1, Saif M. Khodary 1 1 Department of Genetics, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt *Correspondence: [email protected] Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of Coronavirus disease 2019 (COVID-19) which is an infectious disease that spread throughout the world and was declared as a pandemic by the World Health Organization (WHO). In the present study, we analyzed genome-wide codon usage patterns in 13 SARS-CoV-2 isolates from different geo-locations (countries) by utilizing different CUB measurements. Nucleotide and di-nucleotide compositions displayed bias toward A/U content in all codon positions and CpU-ended codons preference, respectively. Relative Synonymous Codon Usage (RSCU) analysis revealed 8 common putative preferred codons among all the 13 isolates. Interestingly, all of the latter codons are A/U-ended (U-ended: 7, A-ended: 1). Cluster analysis (based on RSCU values) was performed and showed comparable results to the phylogenetic analysis (based on their whole genome sequences) indicating that the CUB pattern may reflect the evolutionary relationship between the tested isolates. -
Codon Usage and Adenovirus Fitness: Implications for Vaccine Development
fmicb-12-633946 February 8, 2021 Time: 11:48 # 1 REVIEW published: 10 February 2021 doi: 10.3389/fmicb.2021.633946 Codon Usage and Adenovirus Fitness: Implications for Vaccine Development Judit Giménez-Roig1, Estela Núñez-Manchón1, Ramon Alemany2, Eneko Villanueva3 and Cristina Fillat1,4,5* 1 Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain, 2 Procure Program, Institut Català d’Oncologia- Oncobell Program, IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain, 3 Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom, 4 Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain, 5 Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain Vaccination is the most effective method to date to prevent viral diseases. It intends to mimic a naturally occurring infection while avoiding the disease, exposing our bodies to viral antigens to trigger an immune response that will protect us from future infections. Among different strategies for vaccine development, recombinant vaccines are one of the most efficient ones. Recombinant vaccines use safe viral vectors as vehicles and incorporate a transgenic antigen of the pathogen against which we intend to Edited by: Rosa Maria Pintó, generate an immune response. These vaccines can be based on replication-deficient University of Barcelona, Spain viruses or replication-competent viruses. While the most effective strategy involves Reviewed by: replication-competent viruses, they must be attenuated to prevent any health hazard Kai Li, Harbin Veterinary Research Institute, while guaranteeing a strong humoral and cellular immune response. Several attenuation Chinese Academy of Agricultural strategies for adenoviral-based vaccine development have been contemplated over Sciences, China time. -
Chapter 3. the Beginnings of Genomic Biology – Molecular
Chapter 3. The Beginnings of Genomic Biology – Molecular Genetics Contents 3. The beginnings of Genomic Biology – molecular genetics 3.1. DNA is the Genetic Material 3.6.5. Translation initiation, elongation, and termnation 3.2. Watson & Crick – The structure of DNA 3.6.6. Protein Sorting in Eukaryotes 3.3. Chromosome structure 3.7. Regulation of Eukaryotic Gene Expression 3.3.1. Prokaryotic chromosome structure 3.7.1. Transcriptional Control 3.3.2. Eukaryotic chromosome structure 3.7.2. Pre-mRNA Processing Control 3.3.3. Heterochromatin & Euchromatin 3.4. DNA Replication 3.7.3. mRNA Transport from the Nucleus 3.4.1. DNA replication is semiconservative 3.7.4. Translational Control 3.4.2. DNA polymerases 3.7.5. Protein Processing Control 3.4.3. Initiation of replication 3.7.6. Degradation of mRNA Control 3.4.4. DNA replication is semidiscontinuous 3.7.7. Protein Degradation Control 3.4.5. DNA replication in Eukaryotes. 3.8. Signaling and Signal Transduction 3.4.6. Replicating ends of chromosomes 3.8.1. Types of Cellular Signals 3.5. Transcription 3.8.2. Signal Recognition – Sensing the Environment 3.5.1. Cellular RNAs are transcribed from DNA 3.8.3. Signal transduction – Responding to the Environment 3.5.2. RNA polymerases catalyze transcription 3.5.3. Transcription in Prokaryotes 3.5.4. Transcription in Prokaryotes - Polycistronic mRNAs are produced from operons 3.5.5. Beyond Operons – Modification of expression in Prokaryotes 3.5.6. Transcriptions in Eukaryotes 3.5.7. Processing primary transcripts into mature mRNA 3.6. Translation 3.6.1. -
Codon Clusters with Biased Synonymous Codon Usage Represent
bioRxiv preprint doi: https://doi.org/10.1101/530345; this version posted January 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Codon clusters with biased synonymous codon usage represent 2 hidden functional domains in protein-coding DNA sequences 3 4 Authors 5 Zhen Peng1*, Yehuda Ben-Shahar1 6 7 Affiliations 8 1Department of Biology, Washington University in St. Louis, MO 63130, USA. 9 *Correspondence to: Zhen Peng ([email protected]). 10 11 Outline 12 1. Abstract 13 2. Introduction 14 3. Results 15 3.1. Identifying putatively functional codon clusters (PFCCs) 16 3.2. Codon usage patterns of PFCCs are diverse 17 3.3. PFCC distribution is not restricted to specific regions of protein-coding sequences 18 3.4. Specific protein functional classes are overrepresented in genes carrying PFCCs while most PFCCs 19 are not associated with known protein domains 20 3.5. Voltage-gated sodium channels include a conserved rare-codon cluster associated with the 21 inactivation gate 22 4. Discussion 23 5. Materials and Methods 24 5.1. Reference genome and data pre-procession Page 1 of 28 bioRxiv preprint doi: https://doi.org/10.1101/530345; this version posted January 25, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 25 5.2. Identifying PFCCs 26 5.3. Calculating TCAI 27 5.4. K-mean clustering of PFCCs 28 5.5. -
"The" Genetic Code?
Evolutionary Anthropology 14:6–11 (2005) CROTCHETS & QUIDDITIES “The” Genetic Code? KENNETH M. WEISS AND ANNE V. BUCHANAN The DNA-based code for protein through messenger and transfer RNA is widely themselves, that carry the informa- regarded as the code of life. But genomes are littered with other kinds of coding tion. elements as well, and all of them probably came after a supercode for the tRNA Your life depends on the fidelity of system itself. these many codes. Aberrant codes re- lated to cell behavior can lead to dys- genesis or various metabolic diseases. Evolution and the diversification of Everyone knows of “the” genetic Anomalous cell-surface proteins can organisms are made possible by code, by which nucleotide triplets in cause autoimmune destruction, and vi- codes, or arbitrary assignments of DNA in the nucleus of cells specify the ruses are the Alan Turings of life that “meaning,” in multiple ways. Many amino acid (aa) sequence of proteins. evolve ways to break their receptor are not widely appreciated. Codes al- This is the code described in text- codes to gain illicit entry into cells (Fig. low the same system of components books as the heart of the genetic the- 1). to be used for multiple purposes. ory of life and its evolution. Discover- But there is an additional code, a These can be open-ended, the way the ies in recent years have made things code of codes, that makes all of this alphabet and vocabulary make this more complicated by showing that ge- possible, including “the” genetic code column possible, but the flexibility of nomes are littered with all sorts of itself, and may be the oldest and most a code can become constrained once a other kinds of coding elements. -
Designing Lentiviral Vectors for Gene Therapy of Genetic Diseases
viruses Review Designing Lentiviral Vectors for Gene Therapy of Genetic Diseases Valentina Poletti 1,2,3,* and Fulvio Mavilio 4 1 Department of Woman and Child Health, University of Padua, 35128 Padua, Italy 2 Harvard Medical School, Harvard University, Boston, MA 02115, USA 3 Pediatric Research Institute City of Hope, 35128 Padua, Italy 4 Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy; [email protected] * Correspondence: [email protected] Abstract: Lentiviral vectors are the most frequently used tool to stably transfer and express genes in the context of gene therapy for monogenic diseases. The vast majority of clinical applications involves an ex vivo modality whereby lentiviral vectors are used to transduce autologous somatic cells, ob- tained from patients and re-delivered to patients after transduction. Examples are hematopoietic stem cells used in gene therapy for hematological or neurometabolic diseases or T cells for immunotherapy of cancer. We review the design and use of lentiviral vectors in gene therapy of monogenic diseases, with a focus on controlling gene expression by transcriptional or post-transcriptional mechanisms in the context of vectors that have already entered a clinical development phase. Keywords: lentiviral vectors; transcriptional regulation; post-transcriptional regulation; miRNA; promoters; retroviral integration; ex vivo gene therapy Citation: Poletti, V.; Mavilio, F. 1. Introduction Designing Lentiviral Vectors for Gene Therapy of Genetic Diseases. -
Non-Synonymous to Synonymous Substitutions Suggest That Orthologs Tend to Keep Their Functions, While Paralogs Are a Source of Functional Novelty
bioRxiv preprint doi: https://doi.org/10.1101/354704; this version posted July 23, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Non-synonymous to synonymous substitutions suggest that orthologs tend to keep their functions, while paralogs are a source of functional novelty Mario Esposito1, Gabriel Moreno-Hagelsieb1,* 1 Dept of Biology, Wilfrid Laurier University, Waterloo, Ontario, Canada N2L 3C5 * [email protected] Abstract Because orthologs diverge after speciation events, and paralogs after gene duplication, it is expected that orthologs should tend to keep their functions, while paralogs have been proposed as a source of new functions. This does not mean that paralogs should diverge much more than orthologs, but it certainly means that, if there is a difference, then orthologs should be more functionally stable. Since protein functional divergence follows from non-synonymous substitutions, here we present an analysis based on the ratio of non-synonymous to synonymous substitutions (dN=dS). The results showed orthologs to have noticeable and statistically significant lower values of dN=dS than paralogs, not only confirming that orthologs keep their functions better, butalso suggesting that paralogs are a readily source of functional novelty. Author summary Homologs are characters diverging from a common ancestor, with orthologs being homologs diverging after a speciation event, and paralogs diverging after a duplication event. Given those definitions, orthologs are expected to preserve their ancestral function, while paralogs have been proposed as potential sources of functional novelty. -
Analysis of Codon Usage Patterns in Giardia Duodenalis Based on Transcriptome Data from Giardiadb
G C A T T A C G G C A T genes Article Analysis of Codon Usage Patterns in Giardia duodenalis Based on Transcriptome Data from GiardiaDB Xin Li, Xiaocen Wang, Pengtao Gong, Nan Zhang, Xichen Zhang and Jianhua Li * Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun 130062, China; [email protected] (X.L.); [email protected] (X.W.); [email protected] (P.G.); [email protected] (N.Z.); [email protected] (X.Z.) * Correspondence: [email protected]; Tel.: +86-431-8783-6172; Fax: +86-431-8798-1351 Abstract: Giardia duodenalis, a flagellated parasitic protozoan, the most common cause of parasite- induced diarrheal diseases worldwide. Codon usage bias (CUB) is an important evolutionary character in most species. However, G. duodenalis CUB remains unclear. Thus, this study analyzes codon usage patterns to assess the restriction factors and obtain useful information in shaping G. duo- denalis CUB. The neutrality analysis result indicates that G. duodenalis has a wide GC3 distribution, which significantly correlates with GC12. ENC-plot result—suggesting that most genes were close to the expected curve with only a few strayed away points. This indicates that mutational pressure and natural selection played an important role in the development of CUB. The Parity Rule 2 plot (PR2) result demonstrates that the usage of GC and AT was out of proportion. Interestingly, we identified 26 optimal codons in the G. duodenalis genome, ending with G or C. In addition, GC content, gene expression, and protein size also influence G. -
Close Evolutionary Relationship Between Rice Black-Streaked Dwarf
Wang et al. Virology Journal (2019) 16:53 https://doi.org/10.1186/s12985-019-1163-3 RESEARCH Open Access Close evolutionary relationship between rice black-streaked dwarf virus and southern rice black-streaked dwarf virus based on analysis of their bicistronic RNAs Zenghui Wang1,2†, Chengming Yu2†, Yuanhao Peng1†, Chengshi Ding1, Qingliang Li1, Deya Wang1* and Xuefeng Yuan2* Abstract Background: Rice black-streaked dwarf virus (RBSDV) and Southern rice black-streaked dwarf virus (SRBSDV) seriously interfered in the production of rice and maize in China. These two viruses are members of the genus Fijivirus in the family Reoviridae and can cause similar dwarf symptoms in rice. Although some studies have reported the phylogenetic analysis on RBSDV or SRBSDV, the evolutionary relationship between these viruses is scarce. Methods: In this study, we analyzed the evolutionary relationships between RBSDV and SRBSDV based on the data from the analysis of codon usage, RNA recombination and phylogenetic relationship, selection pressure and genetic characteristics of the bicistronic RNAs (S5, S7 and S9). Results: RBSDV and SRBSDV showed similar patterns of codon preference: open reading frames (ORFs) in S7 and S5 had with higher and lower codon usage bias, respectively. Some isolates from RBSDV and SRBSDV formed a clade in the phylogenetic tree of S7 and S9. In addition, some recombination events in S9 occurred between RBSDV and SRBSDV. Conclusions: Our results suggest close evolutionary relationships between RBSDV and SRBSDV. Selection pressure, gene flow, and neutrality tests also supported the evolutionary relationships. Keywords: RBSDV, SRBSDV, Phylogenetic analysis, Recombination, Selection pressure Introduction was first reported in Guangdong Province, China in In major rice-growing regions, virus diseases occurred 2001 [4], and later was identified as a disease caused by frequently and caused severe damages to rice, among Southern rice black-streaked dwarf virus (SRBSDV), a which Rice black-streaked dwarf virus (RBSDV) and new member of the genus Fijivirus [5].