1
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Komar AA, Samatova E, Rodnina MV. Translation Rates and Protein Folding. J Mol Biol 2024; 436:168384. [PMID: 38065274 DOI: 10.1016/j.jmb.2023.168384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/19/2023]
Abstract
The mRNA coding sequence defines not only the amino acid sequence of the protein, but also the speed at which the ribosomes move along the mRNA while making the protein. The non-uniform local kinetics - denoted as translational rhythm - is similar among mRNAs coding for related protein folds. Deviations from this conserved rhythm can result in protein misfolding. In this review we summarize the experimental evidence demonstrating how local translation rates affect cotranslational protein folding, with the focus on the synonymous codons and patches of charged residues in the nascent peptide as best-studied examples. Alterations in nascent protein conformations due to disturbed translational rhythm can persist off the ribosome, as demonstrated by the effects of synonymous codon variants of several disease-related proteins. Charged amino acid patches in nascent chains also modulate translation and cotranslational protein folding, and can abrogate translation when placed at the N-terminus of the nascent peptide. During cotranslational folding, incomplete nascent chains navigate through a unique conformational landscape in which earlier intermediate states become inaccessible as the nascent peptide grows. Precisely tuned local translation rates, as well as interactions with the ribosome, guide the folding pathway towards the native structure, whereas deviations from the natural translation rhythm may favor pathways leading to trapped misfolded states. Deciphering the 'folding code' of the mRNA will contribute to understanding the diseases caused by protein misfolding and to rational protein design.
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Affiliation(s)
- Anton A Komar
- Center for Gene Regulation in Health and Disease, Department of Biological, Geological and Environmental Sciences, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA; Department of Biochemistry and Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
| | - Ekaterina Samatova
- Max Planck Department of Physical Biochemistry, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany
| | - Marina V Rodnina
- Max Planck Department of Physical Biochemistry, Max Planck Institute for Multidisciplinary Sciences, 37077 Goettingen, Germany.
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2
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Weber R, Chang CT. Human DDX6 regulates translation and decay of inefficiently translated mRNAs. eLife 2024; 13:RP92426. [PMID: 38989862 PMCID: PMC11239181 DOI: 10.7554/elife.92426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024] Open
Abstract
Recent findings indicate that the translation elongation rate influences mRNA stability. One of the factors that has been implicated in this link between mRNA decay and translation speed is the yeast DEAD-box helicase Dhh1p. Here, we demonstrated that the human ortholog of Dhh1p, DDX6, triggers the deadenylation-dependent decay of inefficiently translated mRNAs in human cells. DDX6 interacts with the ribosome through the Phe-Asp-Phe (FDF) motif in its RecA2 domain. Furthermore, RecA2-mediated interactions and ATPase activity are both required for DDX6 to destabilize inefficiently translated mRNAs. Using ribosome profiling and RNA sequencing, we identified two classes of endogenous mRNAs that are regulated in a DDX6-dependent manner. The identified targets are either translationally regulated or regulated at the steady-state-level and either exhibit signatures of poor overall translation or of locally reduced ribosome translocation rates. Transferring the identified sequence stretches into a reporter mRNA caused translation- and DDX6-dependent degradation of the reporter mRNA. In summary, these results identify DDX6 as a crucial regulator of mRNA translation and decay triggered by slow ribosome movement and provide insights into the mechanism by which DDX6 destabilizes inefficiently translated mRNAs.
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Affiliation(s)
- Ramona Weber
- Department of Biochemistry, Max Planck Institute for Developmental BiologyTübingenGermany
- Institute for Regenerative Medicine (IREM), University of ZurichZurichSwitzerland
| | - Chung-Te Chang
- Department of Biochemistry, Max Planck Institute for Developmental BiologyTübingenGermany
- Institute of Biochemistry and Molecular Biology, National Yang Ming Chiao Tung UniversityTaipei CityTaiwan
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3
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Baeza M, Sepulveda D, Cifuentes V, Alcaíno J. Codon usage bias in yeasts and its correlation with gene expression, growth temperature, and protein structure. Front Microbiol 2024; 15:1414422. [PMID: 39040903 PMCID: PMC11260810 DOI: 10.3389/fmicb.2024.1414422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 06/25/2024] [Indexed: 07/24/2024] Open
Abstract
Codon usage bias (CUB) has been described in viruses, prokaryotes, and eukaryotes and has been linked to several cellular and environmental factors, such as the organism's growth temperature, gene expression levels, and regulation of protein synthesis and folding. Most of the studies in this area have been conducted in bacteria and higher eukaryotes, in some cases with different results. In this study, a comparative analysis of CUB in yeasts isolated from cold and template environments was performed in order to evaluate the correlation of CUB with yeast optimal temperature of growth (OTG), gene expression levels, cellular function, and structure of encoded proteins. Among the main findings, highly expressed ORFs tend to have a more similar CUB within and between yeasts, and a direct correlation between codons ending in C and expression level was generally found. A low correspondence between CUB and OTG was observed, with an inverse correlation for some codons ending in C. The clustering of yeasts based on their CUB partially aligns with their OTG, being more consistent for yeasts with lower OTG. In most yeasts, the abundance of preferred codons was generally lower at the 5' end of ORFs, higher in segments encoding beta strand, lower in segments encoding extracellular and transmembrane regions, and higher in "translation" and "energy metabolism" pathways, especially in highly expressed ORFs. Based on our findings, it is suggested that the abundance and distribution of preferred and non-preferred codons along mRNAs contribute to proper protein folding and functionality by regulating protein synthesis rates, becoming a more important factor under conditions that require faster protein synthesis in yeasts.
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Affiliation(s)
- Marcelo Baeza
- Departamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
| | | | - Víctor Cifuentes
- Departamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
| | - Jennifer Alcaíno
- Departamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
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Kobayashi D, Inoue Y, Suzuki R, Matsuda M, Shimoda H, Faizah AN, Kaku Y, Ishijima K, Kuroda Y, Tatemoto K, Virhuez-Mendoza M, Harada M, Nishino A, Inumaru M, Yonemitsu K, Kuwata R, Takano A, Watanabe M, Higa Y, Sawabe K, Maeda K, Isawa H. Identification and epidemiological study of an uncultured flavivirus from ticks using viral metagenomics and pseudoinfectious viral particles. Proc Natl Acad Sci U S A 2024; 121:e2319400121. [PMID: 38687787 PMCID: PMC11087778 DOI: 10.1073/pnas.2319400121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/20/2024] [Indexed: 05/02/2024] Open
Abstract
During their blood-feeding process, ticks are known to transmit various viruses to vertebrates, including humans. Recent viral metagenomic analyses using next-generation sequencing (NGS) have revealed that blood-feeding arthropods like ticks harbor a large diversity of viruses. However, many of these viruses have not been isolated or cultured, and their basic characteristics remain unknown. This study aimed to present the identification of a difficult-to-culture virus in ticks using NGS and to understand its epidemic dynamics using molecular biology techniques. During routine tick-borne virus surveillance in Japan, an unknown flaviviral sequence was detected via virome analysis of host-questing ticks. Similar viral sequences have been detected in the sera of sika deer and wild boars in Japan, and this virus was tentatively named the Saruyama virus (SAYAV). Because SAYAV did not propagate in any cultured cells tested, single-round infectious virus particles (SRIP) were generated based on its structural protein gene sequence utilizing a yellow fever virus-based replicon system to understand its nationwide endemic status. Seroepidemiological studies using SRIP as antigens have demonstrated the presence of neutralizing antibodies against SAYAV in sika deer and wild boar captured at several locations in Japan, suggesting that SAYAV is endemic throughout Japan. Phylogenetic analyses have revealed that SAYAV forms a sister clade with the Orthoflavivirus genus, which includes important mosquito- and tick-borne pathogenic viruses. This shows that SAYAV evolved into a lineage independent of the known orthoflaviviruses. This study demonstrates a unique approach for understanding the epidemiology of uncultured viruses by combining viral metagenomics and pseudoinfectious viral particles.
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Affiliation(s)
- Daisuke Kobayashi
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Management Department of Biosafety, Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Yusuke Inoue
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Ryosuke Suzuki
- Department of Virology II, National Institute of Infectious Diseases, Musashimurayama City, Tokyo208-0011, Japan
| | - Mami Matsuda
- Department of Virology II, National Institute of Infectious Diseases, Musashimurayama City, Tokyo208-0011, Japan
| | - Hiroshi Shimoda
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Astri Nur Faizah
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Yoshihiro Kaku
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Keita Ishijima
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Yudai Kuroda
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Kango Tatemoto
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Milagros Virhuez-Mendoza
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Michiko Harada
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Ayano Nishino
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Mizue Inumaru
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Kenzo Yonemitsu
- Management Department of Biosafety, Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Ryusei Kuwata
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
- Faculty of Veterinary Medicine, Okayama University of Science, Imabari City, Ehime794-8555, Japan
| | - Ai Takano
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Mamoru Watanabe
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Yukiko Higa
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Kyoko Sawabe
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Management Department of Biosafety, Laboratory Animal, and Pathogen Bank, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
| | - Ken Maeda
- Department of Veterinary Science, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
- Joint Graduate School of Veterinary Medicine, Yamaguchi University, Yamaguchi City, Yamaguchi753-8515, Japan
| | - Haruhiko Isawa
- Department of Medical Entomology, National Institute of Infectious Diseases, Shinjuku-ku, Tokyo162-8640, Japan
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5
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Tan X, Xie Y, Jiang C, Li H, Lu Y, Shen W, Chen J. Codon usage bias of human papillomavirus type 33 and 58: A comprehensive analysis. J Basic Microbiol 2024; 64:e2300636. [PMID: 38346260 DOI: 10.1002/jobm.202300636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/08/2024] [Accepted: 01/20/2024] [Indexed: 05/03/2024]
Abstract
Cervical cancer is closely linked to specific strains of human papillomavirus (HPV), notably HPV-33 and HPV-58, which exhibit a significant prevalence among women in China. Nevertheless, the codon usage bias in HPV-33 and HPV-58 is not well comprehended. The objective of this research is to analyze the codon usage patterns HPV-33 and HPV-58, pinpoint the primary factors that influence codon preference. The overall preference for codon usage in two HPV genotypes is not significant. Both HPV genotypes exhibit a preference for codons that end with A/U. The GC3 content for HPV-33 is 25.43% ± 0.35%, and for HPV-58, it is 29.44% ± 0.57%. Out of the 26 favored codons in HPV-33 and HPV-58 (relative synonymous codon usage (RSCU) > 1), 25 conclude with A/U. Principal component analysis (PCA) shows a tight clustering of the entire genome sequences of HPV-33 and HPV-58, suggesting a similarity in their RSCU preferences. Moreover, an examination of dinucleotide abundance indicated that translation selection influenced the development of a distinctive dinucleotide usage pattern in HPV-33 and HPV-58. Additionally, a combined analysis involving an effective number of codons plot, parity rule 2, and neutrality analysis demonstrated that, for HPV-33 and HPV-58, the primary determinant influencing codon usage preference is natural selection. HPV-33 and HPV-58 exhibit a restricted set of favored codons in common with humans, potentially mitigating competition for translation resources. Our discoveries could provide valuable perspectives on the evolutionary patterns and codon usage preferences of HPV-33 and HPV-58 viruses, contributing to the development and application of relevant HPV subtype vaccines.
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Affiliation(s)
- Xiaochun Tan
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yucheng Xie
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Chaoyue Jiang
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Hui Li
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Yu Lu
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Weifeng Shen
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Jing Chen
- Department of Laboratory Medicine, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, China
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6
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Shao B, Yan J, Zhang J, Liu L, Chen Y, Buskirk AR. Riboformer: a deep learning framework for predicting context-dependent translation dynamics. Nat Commun 2024; 15:2011. [PMID: 38443396 PMCID: PMC10915169 DOI: 10.1038/s41467-024-46241-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 02/18/2024] [Indexed: 03/07/2024] Open
Abstract
Translation elongation is essential for maintaining cellular proteostasis, and alterations in the translational landscape are associated with a range of diseases. Ribosome profiling allows detailed measurements of translation at the genome scale. However, it remains unclear how to disentangle biological variations from technical artifacts in these data and identify sequence determinants of translation dysregulation. Here we present Riboformer, a deep learning-based framework for modeling context-dependent changes in translation dynamics. Riboformer leverages the transformer architecture to accurately predict ribosome densities at codon resolution. When trained on an unbiased dataset, Riboformer corrects experimental artifacts in previously unseen datasets, which reveals subtle differences in synonymous codon translation and uncovers a bottleneck in translation elongation. Further, we show that Riboformer can be combined with in silico mutagenesis to identify sequence motifs that contribute to ribosome stalling across various biological contexts, including aging and viral infection. Our tool offers a context-aware and interpretable approach for standardizing ribosome profiling datasets and elucidating the regulatory basis of translation kinetics.
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Affiliation(s)
- Bin Shao
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Jiawei Yan
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Jing Zhang
- Biological Design Center, Boston University, Boston, MA, USA
| | - Lili Liu
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Chen
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Allen R Buskirk
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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7
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Xu L, Chen Z, Chen S, Chen Y, Guo J, Zhong T, Wang L, Zhan S, Li L, Zhang H, Cao J. An Identification of Functional Genetic Variants in B4GALNT2 Gene and Their Association with Growth Traits in Goats. Genes (Basel) 2024; 15:330. [PMID: 38540389 PMCID: PMC10970026 DOI: 10.3390/genes15030330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 06/14/2024] Open
Abstract
β-1,4-N-acetylgalactosamine transferase 2 (B4GALNT2) is a vital candidate gene that affects the growth traits in sheep. However, whether it has the same function in goats remains to be investigated further. This study selected 348 Nanjiang Yellow goats, screened all exons, and conserved non-coding regions of the B4GALNT2 gene for single-nucleotide polymorphisms (SNPs). Our results revealed the presence of a synonymous mutation, rs672215506, within the exon of the B4GALNT2 gene in the Nanjiang Yellow goat population. The mutation resulted in a decrease in the mRNA stability of the B4GALNT2 gene. The results of SNP detection of the conserved non-coding region of the B4GALNT2 gene showed five potential regulatory SNPs in the Nanjiang Yellow goat population. Except for rs66095343, the ~500 bp fragments of the other four SNPs (rs649127714, rs649573228, rs652899012, and rs639183528) significantly increased the luciferase activity both in goat skeletal muscle satellite cells (MuSCs) and 293T cells. The genetic diversity indexes indicated low or intermediate levels for all six SNPs analyzed, and the genotype frequencies were in Hardy-Weinberg equilibrium. Association analysis showed that rs660965343, rs649127714, and rs649573228 significantly correlate with growth traits in the later stage of growth and development of Nanjiang Yellow goats. The haplotype combinations of H2H3 and H2H2 had higher body weight and greater body size. Moreover, H2H2 haplotype combinations significantly correlated with the litter size of the Nanjiang Yellow goats. The results of our study demonstrate the potential role of the B4GALNT2 gene as a functional genetic marker in the breeding programs of Nanjiang Yellow goats.
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Affiliation(s)
- Liang Xu
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Zitong Chen
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
- Xinjiang Yili Prelecture Animal Husbandry Station, Yining 835000, China
| | - Shuheng Chen
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Yu Chen
- Sichuan Nanjiang Yellow Goat Breeding Farm, Nanjiang 635600, China;
| | - Jiazhong Guo
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Tao Zhong
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Linjie Wang
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Siyuan Zhan
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Li Li
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Hongping Zhang
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
| | - Jiaxue Cao
- Key Laboratory of Livestock and Poultry Multiomics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China; (L.X.); (Z.C.); (S.C.); (J.G.); (T.Z.); (L.W.); (L.L.); (H.Z.)
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8
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Li T, Ma Z, Ding T, Yang Y, Wang F, Wan X, Liang F, Chen X, Yao H. Codon usage bias and phylogenetic analysis of chloroplast genome in 36 gracilariaceae species. Funct Integr Genomics 2024; 24:45. [PMID: 38429550 DOI: 10.1007/s10142-024-01316-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 03/03/2024]
Abstract
Gracilariaceae is a group of marine large red algae and main source of agar with important economic and ecological value. The codon usage patterns of chloroplast genomes in 36 species from Graciliaceae show that GC range from 0.284 to 0.335, the average GC3 range from 0.135 to 0.243 and the value of ENC range from 35.098 to 42.327, which indicates these genomes are rich in AT and prefer to use codons ending with AT in these species. Nc plot, PR2 plot, neutrality plot analyses and correlation analysis indicate that these biases may be caused by multiple factors, such as natural selection and mutation pressure, but prolonged natural selection is the main driving force influencing codon usage preference. The cluster analysis and phylogenetic analysis show that the differentiation relationship of them is different and indicate that codons with weak or unbiased preferences may also play an irreplaceable role in these species' evolution. In addition, we identified 26 common high-frequency codons and 8-18 optimal codons all ending in A/U in these 36 species. Our results will not only contribute to carrying out transgenic work in Gracilariaceae species to maximize the protein yield in the future, but also lay a theoretical foundation for further exploring systematic classification of them.
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Affiliation(s)
- Tingting Li
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Zheng Ma
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Tiemei Ding
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Yanxin Yang
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Fei Wang
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Xinjing Wan
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Fangyun Liang
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Xi Chen
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China
| | - Huipeng Yao
- College of Life Science, Sichuan Agriculture University, Ya'an, 625014, Sichuan, People's Republic of China.
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9
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Duan HC, Zhang C, Song P, Yang J, Wang Y, Jia G. C 2-methyladenosine in tRNA promotes protein translation by facilitating the decoding of tandem m 2A-tRNA-dependent codons. Nat Commun 2024; 15:1025. [PMID: 38310199 PMCID: PMC10838301 DOI: 10.1038/s41467-024-45166-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 01/16/2024] [Indexed: 02/05/2024] Open
Abstract
RNA modification C2-methyladenosine (m2A) exists in both rRNA and tRNA of Escherichia coli (E. coli), installed by the methyltransferase RlmN using a radical-S-adenosylmethionine (SAM) mechanism. However, the precise function of m2A in tRNA and its ubiquity in plants have remained unclear. Here we discover the presence of m2A in chloroplast rRNA and tRNA, as well as cytosolic tRNA, in multiple plant species. We identify six m2A-modified chloroplast tRNAs and two m2A-modified cytosolic tRNAs across different plants. Furthermore, we characterize three Arabidopsis m2A methyltransferases-RLMNL1, RLMNL2, and RLMNL3-which methylate chloroplast rRNA, chloroplast tRNA, and cytosolic tRNA, respectively. Our findings demonstrate that m2A37 promotes a relaxed conformation of tRNA, enhancing translation efficiency in chloroplast and cytosol by facilitating decoding of tandem m2A-tRNA-dependent codons. This study provides insights into the molecular function and biological significance of m2A, uncovering a layer of translation regulation in plants.
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Affiliation(s)
- Hong-Chao Duan
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Chi Zhang
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Peizhe Song
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Junbo Yang
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Ye Wang
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
| | - Guifang Jia
- Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
- Peking-Tsinghua Center for Life Sciences, Beijing, 100871, China.
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10
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Metkar M, Pepin CS, Moore MJ. Tailor made: the art of therapeutic mRNA design. Nat Rev Drug Discov 2024; 23:67-83. [PMID: 38030688 DOI: 10.1038/s41573-023-00827-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/09/2023] [Indexed: 12/01/2023]
Abstract
mRNA medicine is a new and rapidly developing field in which the delivery of genetic information in the form of mRNA is used to direct therapeutic protein production in humans. This approach, which allows for the quick and efficient identification and optimization of drug candidates for both large populations and individual patients, has the potential to revolutionize the way we prevent and treat disease. A key feature of mRNA medicines is their high degree of designability, although the design choices involved are complex. Maximizing the production of therapeutic proteins from mRNA medicines requires a thorough understanding of how nucleotide sequence, nucleotide modification and RNA structure interplay to affect translational efficiency and mRNA stability. In this Review, we describe the principles that underlie the physical stability and biological activity of mRNA and emphasize their relevance to the myriad considerations that factor into therapeutic mRNA design.
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11
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Lu M, Wan W, Li Y, Li H, Sun B, Yu K, Zhao J, Franzo G, Su S. Codon usage bias analysis of the spike protein of human coronavirus 229E and its host adaptability. Int J Biol Macromol 2023; 253:127319. [PMID: 37820917 DOI: 10.1016/j.ijbiomac.2023.127319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/28/2023] [Accepted: 10/06/2023] [Indexed: 10/13/2023]
Abstract
Human coronavirus 229E (HCoV-229E) represents one of the known coronaviruses capable of infecting humans and causes mild respiratory symptoms. It is also considered to have a zoonotic source, originating from animals and being transmitted the humans. In this study, a comprehensive phylogenetic and codon usage analysis of the spike (S) gene of HCoV-229E was conducted. Utilizing phylogenetic analysis and principal component analysis, HCoV-229E was categorized into four distinct clusters, each demonstrating unique host affiliations. Furthermore, it was observed that the codon usage bias within the S gene of HCoV-229E is relatively low, primarily influenced by natural selection patterns, with contributions from mutation pressure and dinucleotide abundance. Comparative analysis involving Codon Adaptation Index (CAI) and Relative Codon Deoptimization Index (RCDI) revealed that the codon usage pattern of HCoV-229E mirrors more closely that of camels, as opposed to alpacas and humans. The elucidation of the codon usage pattern within HCoV-229E, which we have meticulously examined, offers valuable insights for a more comprehensive comprehension of viral features, history, and evolutionary trajectory.
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Affiliation(s)
- Meng Lu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Wenbo Wan
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Yuxing Li
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Haipeng Li
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Bowen Sun
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Kang Yu
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Jin Zhao
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China
| | - Giovanni Franzo
- Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16, Legnaro 35020, PD, Italy
| | - Shuo Su
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, 131 Dong'an Road, Shanghai 200032, People's Republic of China.
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12
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Yang B, Cheng Z, Luo L, Cheng K, Gan S, Shi Y, Liu C, Wang D. Comparative analysis of codon usage patterns of Plasmodium helical interspersed subtelomeric (PHIST) proteins. Front Microbiol 2023; 14:1320060. [PMID: 38156001 PMCID: PMC10752978 DOI: 10.3389/fmicb.2023.1320060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023] Open
Abstract
Background Plasmodium falciparum is a protozoan parasite that causes the most severe form of malaria in humans worldwide, which is predominantly found in sub-Saharan Africa, where it is responsible for the majority of malaria-related deaths. Plasmodium helical interspersed subtelomeric (PHIST) proteins are a family of proteins, with a conserved PHIST domain, which are typically located at the subtelomeric regions of the Plasmodium falciparum chromosomes and play crucial roles in the interaction between the parasite and its human host, such as cytoadherence, immune evasion, and host cell remodeling. However, the specific utilization of synonymous codons by PHIST proteins in Plasmodium falciparum is still unknown. Methods Codon usage bias (CUB) refers to the unequal usage of synonymous codons during translation, resulting in over- or underrepresentation of certain nucleotide patterns. This imbalance in CUB can impact various cellular processes, including protein expression levels and genetic variation. To investigate this, the CUB of 88 PHIST protein coding sequences (CDSs) from 5 subgroups were analyzed in this study. Results The results showed that both codon base composition and relative synonymous codon usage (RSCU) analysis identified a higher occurrence of AT-ended codons (AGA and UUA) in PHIST proteins of Plasmodium falciparum. The average effective number of codons (ENC) for these PHIST proteins was 36.69, indicating a weak codon preference among them, as it was greater than 35. Additionally, the correlation analysis among codon base composition (GC1, GC2, GC3, GCs), codon adaptation index (CAI), codon bias index (CBI), frequency of optimal codons (FOP), ENC, general average hydropathicity (GRAVY), aromaticity (AROMO), length of synonymous codons (L_sym), and length of amino acids (L_aa) revealed the influence of base composition and codon usage indices on codon usage bias, with GC1 having a significant impact in this study. Furthermore, the neutrality plot analysis, PR2-bias plot analysis, and ENC-GC3 plot analysis provided additional evidence that natural selection plays a crucial role in determining codon bias in PHIST proteins. Conclusion In conclusion, this study has enhanced our understanding of the characteristics of codon usage and genetic evolution in PHIST proteins, thereby providing data foundation for further research on antimalarial drugs or vaccines.
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Affiliation(s)
- Baoling Yang
- College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Ziwen Cheng
- College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Like Luo
- College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Kuo Cheng
- College of Basic Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Shengqi Gan
- College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Yuyi Shi
- College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Che Liu
- College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
| | - Dawei Wang
- College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, Liaoning Province, China
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13
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Wang D, Yang B. Analysis of codon usage bias of thioredoxin in apicomplexan protozoa. Parasit Vectors 2023; 16:431. [PMID: 37990340 PMCID: PMC10664530 DOI: 10.1186/s13071-023-06002-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/06/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Apicomplexan protozoa are a diverse group of obligate intracellular parasites causing many diseases that affect humans and animals, such as malaria, toxoplasmosis, and cryptosporidiosis. Apicomplexan protozoa possess unique thioredoxins (Trxs) that have been shown to regulate various cellular processes including metabolic redox regulation, parasite survival, and host immune evasion. However, it is still unknown how synonymous codons are used by apicomplexan protozoa Trxs. METHODS Codon usage bias (CUB) is the unequal usage of synonymous codons during translation which leads to the over- or underrepresentation of certain nucleotide patterns. This imbalance in CUB can impact a variety of cellular processes including protein expression levels and genetic variation. This study analyzed the CUB of 32 Trx coding sequences (CDS) from 11 apicomplexan protozoa. RESULTS The results showed that both codon base composition and relative synonymous codon usage (RSCU) analysis revealed that AT-ended codons were more frequently used in Cryptosporidium spp. and Plasmodium spp., while the Eimeria spp., Babesia spp., Hammondia hammondi, Neospora caninum, and Toxoplasma gondii tended to end in G/C. The average effective number of codon (ENC) value of these apicomplexan protozoa is 46.59, which is > 35, indicating a weak codon preference among apicomplexan protozoa Trxs. Furthermore, the correlation analysis among codon base composition (GC1, GC2, GC3, GCs), codon adaptation index (CAI), codon bias index (CBI), frequency of optimal codons (FOP), ENC, general average hydropathicity (GRAVY), aromaticity (AROMO), length of synonymous codons (L_sym), and length of amino acids (L_aa) indicated the influence of base composition and codon usage indices on CUB. Additionally, the neutrality plot analysis, PR2-bias plot analysis, and ENC-GC3 plot analysis further demonstrated that natural selection plays an important role in apicomplexan protozoa Trxs codon bias. CONCLUSIONS In conclusion, this study increased the understanding of codon usage characteristics and genetic evolution of apicomplexan protozoa Trxs, which expanded new ideas for vaccine and drug research.
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Affiliation(s)
- Dawei Wang
- Jinzhou Medical University, Jinzhou, 121000, Liaoning Province, China
| | - Baoling Yang
- Jinzhou Medical University, Jinzhou, 121000, Liaoning Province, China.
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14
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Willems T, Hectors W, Rombaut J, De Rop AS, Goegebeur S, Delmulle T, De Mol ML, De Maeseneire SL, Soetaert WK. An exploratory in silico comparison of open-source codon harmonization tools. Microb Cell Fact 2023; 22:227. [PMID: 37932726 PMCID: PMC10626681 DOI: 10.1186/s12934-023-02230-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/14/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Not changing the native constitution of genes prior to their expression by a heterologous host can affect the amount of proteins synthesized as well as their folding, hampering their activity and even cell viability. Over the past decades, several strategies have been developed to optimize the translation of heterologous genes by accommodating the difference in codon usage between species. While there have been a handful of studies assessing various codon optimization strategies, to the best of our knowledge, no research has been performed towards the evaluation and comparison of codon harmonization algorithms. To highlight their importance and encourage meaningful discussion, we compared different open-source codon harmonization tools pertaining to their in silico performance, and we investigated the influence of different gene-specific factors. RESULTS In total, 27 genes were harmonized with four tools toward two different heterologous hosts. The difference in %MinMax values between the harmonized and the original sequences was calculated (ΔMinMax), and statistical analysis of the obtained results was carried out. It became clear that not all tools perform similarly, and the choice of tool should depend on the intended application. Almost all biological factors under investigation (GC content, RNA secondary structures and choice of heterologous host) had a significant influence on the harmonization results and thus must be taken into account. These findings were substantiated using a validation dataset consisting of 8 strategically chosen genes. CONCLUSIONS Due to the size of the dataset, no complex models could be developed. However, this initial study showcases significant differences between the results of various codon harmonization tools. Although more elaborate investigation is needed, it is clear that biological factors such as GC content, RNA secondary structures and heterologous hosts must be taken into account when selecting the codon harmonization tool.
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Affiliation(s)
- Thomas Willems
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Wim Hectors
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Jeltien Rombaut
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Anne-Sofie De Rop
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Stijn Goegebeur
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Tom Delmulle
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Maarten L De Mol
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
| | - Sofie L De Maeseneire
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium.
| | - Wim K Soetaert
- Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium
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15
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Bian B, Kumagai T, Saito Y. VeloPro: A pipeline integrating Ribo-seq and AlphaFold deciphers association patterns between translation velocity and protein structure features. IMETA 2023; 2:e148. [PMID: 38868219 PMCID: PMC10989810 DOI: 10.1002/imt2.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 10/22/2023] [Indexed: 06/14/2024]
Abstract
VeloPro integrates Ribo-seq data and AlphaFold2-predicted 3D protein structure information for characterization of the association patterns between translation velocity and many protein structure features in prokaryotic and eukaryotic organisms across different taxonomical clades such as bacteria, fungi, protozoa, nematode, plants, insect, and mammals. We illustrated that association patterns between translation velocity and protein structure features differ across organisms, partially reflecting their taxonomical relationship.
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Affiliation(s)
- Bian Bian
- Department of Computational Biology and Medical SciencesGraduate School of Frontier Sciences, The University of TokyoKashiwaJapan
- Artificial Intelligence Research CenterNational Institute of Advanced Industrial Science and Technology (AIST)Koto‐kuJapan
| | | | - Yutaka Saito
- Department of Computational Biology and Medical SciencesGraduate School of Frontier Sciences, The University of TokyoKashiwaJapan
- Artificial Intelligence Research CenterNational Institute of Advanced Industrial Science and Technology (AIST)Koto‐kuJapan
- AIST‐Waseda University Computational Bio Big‐Data Open Innovation Laboratory (CBBD‐OIL)Shinjuku‐kuJapan
- Department of Data Science, School of Frontier EngineeringKitasato UniversitySagamiharaJapan
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16
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Lu Y, Wang W, Liu H, Li Y, Yan G, Franzo G, Dai J, He WT. Mutation and codon bias analysis of the spike protein of Omicron, the recent variant of SARS-CoV-2. Int J Biol Macromol 2023; 250:126080. [PMID: 37536405 DOI: 10.1016/j.ijbiomac.2023.126080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/29/2023] [Indexed: 08/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant is a heavily mutated virus and designated as a variant of concern. To investigate the codon usage pattern of this new variant, we performed mutation and codon bias analysis for Omicron as well as for its sub-lineages BA.1 and BA.2 and compared them with the original SARS-CoV-2 and the Delta variant sequences obtained in this study. Our results indicate that the sub-lineage BA.1 and BA.2 have up to 23 sites of difference on the spike protein, which have minimal impact on function. The Omicron variant and its sub-lineages have similar codon usage patterns and A/U ending codons appear to be preferred over G/C ending codons. The Omicron has a lower degree of codon usage bias in spite of evidence that natural selection, mutation pressure and dinucleotide abundance shape the codon usage bias of Omicron, with natural selection being more significant on BA.2 than the other sub-lineages of Omicron. The codon usage pattern of Omicron variant that we explored provides valid information for a clearer understanding of Omicron and its sub-lineages, which could find application in vaccine development and optimization.
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Affiliation(s)
- Yunbiao Lu
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China
| | - Weixiu Wang
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China
| | - Hao Liu
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China
| | - Yue Li
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China
| | - Ge Yan
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China
| | - Giovanni Franzo
- Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16, Legnaro 35020, PD, Italy
| | - Jianjun Dai
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China.
| | - Wan-Ting He
- School of Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, People's Republic of China.
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17
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Latallo MJ, Wang S, Dong D, Nelson B, Livingston NM, Wu R, Zhao N, Stasevich TJ, Bassik MC, Sun S, Wu B. Single-molecule imaging reveals distinct elongation and frameshifting dynamics between frames of expanded RNA repeats in C9ORF72-ALS/FTD. Nat Commun 2023; 14:5581. [PMID: 37696852 PMCID: PMC10495369 DOI: 10.1038/s41467-023-41339-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 08/30/2023] [Indexed: 09/13/2023] Open
Abstract
C9ORF72 hexanucleotide repeat expansion is the most common genetic cause of both amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). One pathogenic mechanism is the accumulation of toxic dipeptide repeat (DPR) proteins like poly-GA, GP and GR, produced by the noncanonical translation of the expanded RNA repeats. However, how different DPRs are synthesized remains elusive. Here, we use single-molecule imaging techniques to directly measure the translation dynamics of different DPRs. Besides initiation, translation elongation rates vary drastically between different frames, with GP slower than GA and GR the slowest. We directly visualize frameshift events using a two-color single-molecule translation assay. The repeat expansion enhances frameshifting, but the overall frequency is low. There is a higher chance of GR-to-GA shift than in the reversed direction. Finally, the ribosome-associated protein quality control (RQC) factors ZNF598 and Pelota modulate the translation dynamics, and the repeat RNA sequence is important for invoking the RQC pathway. This study reveals that multiple translation steps modulate the final DPR production. Understanding repeat RNA translation is critically important to decipher the DPR-mediated pathogenesis and identify potential therapeutic targets in C9ORF72-ALS/FTD.
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Affiliation(s)
- Malgorzata J Latallo
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Shaopeng Wang
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Daoyuan Dong
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Blake Nelson
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Nathan M Livingston
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Rong Wu
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Ning Zhao
- Department of Biochemistry and Molecular Genetics, University of Colorado-Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Timothy J Stasevich
- Department of Biochemistry and Molecular Genetics, University of Colorado-Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Shuying Sun
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Brain Science Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
| | - Bin Wu
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Center for Cell Dynamics, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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18
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Liu X, Liu H, Wang Y, Li M, Ji L, Wang K, Wei C, Li W, Chen C, Yu L, Zhu X, Hong X. Chromosome-Level Analysis of the Pelochelys cantorii Genome Provides Insights to Its Immunity, Growth and Longevity. BIOLOGY 2023; 12:939. [PMID: 37508370 PMCID: PMC10376104 DOI: 10.3390/biology12070939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 06/19/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
The Asian giant soft-shelled turtle, Pelochelys cantorii (Trionychidae), is one of the largest aquatic turtles in China and was designated as a First-Grade Protected Animal in China in 1989. Previous investigation based on a combination of Illumina short-read, PacBio long-read and Hi-C scaffolding technologies acquired a high-quality chromosome-level genome of Pc. cantorii. In this study, comparative genomic analysis between Pc. cantorii and 16 other vertebrate genomes indicated that turtles separated from the ancestor of archosaurians approximately 256.6 (95% highest posterior density interval, 263.6-251.9) million years ago (Mya) (Upper Permian to Triassic) and that Pc. cantorii separated from the ancestor of Pd. sinensis and R. swinhoei approximately 59.3 (95% highest posterior density interval, 64.3-54.3) Mya. Moreover, several candidate genes, such as VWA5A, ABCG2, A2M and IGSF1, associated with tumor suppression, growth and age were expanded, implicating their potential roles in the exceptional longevity of turtles. This new chromosome-level assembly has important scientific value in the study of conservation of Pc. cantorii and also enriches the evolutionary investigation of turtle species.
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Affiliation(s)
- Xiaoli Liu
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Haiyang Liu
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Yakun Wang
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Mingzhi Li
- Guangzhou Bio & Data Technology Co., Ltd., Guangzhou 510555, China
| | - Liqin Ji
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Kaikuo Wang
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
- College of Life Science and Fisheries, Shanghai Ocean University, Shanghai 201306, China
| | - Chengqing Wei
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Wei Li
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Chen Chen
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Lingyun Yu
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
| | - Xinping Zhu
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
- College of Life Science and Fisheries, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaoyou Hong
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510380, China
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19
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Li K, Zheng J, Yu L, Wang B, Pan L. Exploration of the Strategy for Improving the Expression of Heterologous Sweet Protein Monellin in Aspergillus niger. J Fungi (Basel) 2023; 9:jof9050528. [PMID: 37233239 DOI: 10.3390/jof9050528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023] Open
Abstract
Aspergillus niger is a primary cell factory for food-grade protein (enzyme) production due to its strong protein secretion capacity and unique safety characteristics. The bottleneck issue for the current A. niger expression system is the difference in expression yield of heterologous proteins of non-fungal origin compared to those of fungal origin, which is about three orders of magnitude. The sweet protein monellin, derived from West African plants, has the potential to become a food-grade sweetener due to its high sweetness and the benefit of not containing sugar itself, but it is extremely difficult to establish a research model for heterologous expression in A. niger, owing to extremely low expression, a small molecular weight, and being undetectable with conventional protein electrophoresis. HiBiT-Tag was fused with low-expressing monellin in this work to create a research model for heterologous protein expression in A. niger at ultra-low levels. We increased monellin expression by increasing the monellin copy number, fusing monellin with the endogenous highly expressed glycosylase glaA, and eliminating extracellular protease degradation, among other strategies. In addition, we investigated the effects of overexpression of molecular chaperones, inhibiting the ERAD pathway, and enhancing the synthesis of phosphatidylinositol, phosphatidylcholine, and diglycerides in the biomembrane system. Using medium optimization, we finally obtained 0.284 mg/L of monellin in the supernatant of the shake flask. This is the first time recombinant monellin has been expressed in A. niger, with the goal of investigating ways to improve the secretory expression of heterologous proteins at ultra-low levels, which can serve as a model for the expression of other heterologous proteins in A. niger.
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Affiliation(s)
- Ke Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Junwei Zheng
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Leyi Yu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Bin Wang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Li Pan
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
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20
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Suresh KP, Indrabalan UB, Shreevatsa B, Dharmashekar C, Singh P, Patil SS, Syed A, Elgorban AM, Eswaramoorthy R, Amachawadi RG, Shivamallu C, Kollur SP. Evaluation of codon usage patterns and molecular evolution dynamics in Japanese encephalitis virus: An integrated bioinformatics approach. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 109:105410. [PMID: 36791944 DOI: 10.1016/j.meegid.2023.105410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 01/04/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023]
Abstract
In the recent survey, Japanese encephalitis (JE) is one of the most common mosquito-borne diseases, accounting for ∼30% of fatalities. The outbreaks of the JE virus (JEV) suggests that exhaustive study is essential for the prevention and management of the disease. The disease mainly spreads in humans and pigs by the vector: mosquito; as this is a major concern, this study had employed various bioinformatics tools to investigate the codon usage bias, evolutionary inference and selection pressure analysis of the Japanese encephalitis virus disease. The results indicated that the JE virus was biased and natural selection was the main factor shaping the codon usage that was determined and confirmed with the Nc, neutrality, PR2 plots and correlation analysis. The evolutionary analysis revealed that the virus had a substitution rate of 1.54 × 10-4 substitution/site/year and the tMRCA was found to be in 1723. The transmission of the virus in the map found transmissions mostly from China and transmitted across Asia and Africa. The selection pressure analysis employed three methods which had 969th codon site as diversifying site and had many purifying sites that shows the virus had evolved rapidly. The inferences from this study would aid people to employ this methodology on various diseases and also perform insilico studies in the field of vaccinology and immunoinformatics.
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Affiliation(s)
| | - Uma Bharathi Indrabalan
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka 560063, India
| | - Bhargav Shreevatsa
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Chandan Dharmashekar
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Pranav Singh
- Department of Internal Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sharanagouda S Patil
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka 560063, India.
| | - Asad Syed
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia.
| | - Abdallah M Elgorban
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia.
| | - Rajalakshmanan Eswaramoorthy
- Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 600 077, Tamilnadu, India.
| | - Raghavendra G Amachawadi
- Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506-5606, USA.
| | - Chandan Shivamallu
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Shiva Prasad Kollur
- School of Physical Sciences, Amrita Vishwa Vidhyapeetham, Mysuru Campus, Mysuru 570 026, Karnataka, India.
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21
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Picard MAL, Leblay F, Cassan C, Willemsen A, Daron J, Bauffe F, Decourcelle M, Demange A, Bravo IG. Transcriptomic, proteomic, and functional consequences of codon usage bias in human cells during heterologous gene expression. Protein Sci 2023; 32:e4576. [PMID: 36692287 PMCID: PMC9926478 DOI: 10.1002/pro.4576] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/12/2023] [Accepted: 01/14/2023] [Indexed: 01/25/2023]
Abstract
Differences in codon frequency between genomes, genes, or positions along a gene, modulate transcription and translation efficiency, leading to phenotypic and functional differences. Here, we present a multiscale analysis of the effects of synonymous codon recoding during heterologous gene expression in human cells, quantifying the phenotypic consequences of codon usage bias at different molecular and cellular levels, with an emphasis on translation elongation. Six synonymous versions of an antibiotic resistance gene were generated, fused to a fluorescent reporter, and independently expressed in HEK293 cells. Multiscale phenotype was analyzed by means of quantitative transcriptome and proteome assessment, as proxies for gene expression; cellular fluorescence, as a proxy for single-cell level expression; and real-time cell proliferation in absence or presence of antibiotic, as a proxy for the cell fitness. We show that differences in codon usage bias strongly impact the molecular and cellular phenotype: (i) they result in large differences in mRNA levels and protein levels, leading to differences of over 15 times in translation efficiency; (ii) they introduce unpredicted splicing events; (iii) they lead to reproducible phenotypic heterogeneity; and (iv) they lead to a trade-off between the benefit of antibiotic resistance and the burden of heterologous expression. In human cells in culture, codon usage bias modulates gene expression by modifying mRNA availability and suitability for translation, leading to differences in protein levels and eventually eliciting functional phenotypic changes.
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Affiliation(s)
- Marion A. L. Picard
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Fiona Leblay
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Cécile Cassan
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Anouk Willemsen
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Josquin Daron
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Frédérique Bauffe
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Mathilde Decourcelle
- BioCampus Montpellier (University of Montpellier, CNRS, INSERM)MontpellierFrance
| | - Antonin Demange
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
| | - Ignacio G. Bravo
- French National Center for Scientific ResearchLaboratory MIVEGEC (CNRS, IRD, University of Montpellier)MontpellierFrance
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22
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Benisty H, Hernandez-Alias X, Weber M, Anglada-Girotto M, Mantica F, Radusky L, Senger G, Calvet F, Weghorn D, Irimia M, Schaefer MH, Serrano L. Genes enriched in A/T-ending codons are co-regulated and conserved across mammals. Cell Syst 2023; 14:312-323.e3. [PMID: 36889307 DOI: 10.1016/j.cels.2023.02.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 07/11/2022] [Accepted: 02/09/2023] [Indexed: 03/09/2023]
Abstract
Codon usage influences gene expression distinctly depending on the cell context. Yet, the importance of codon bias in the simultaneous turnover of specific groups of protein-coding genes remains to be investigated. Here, we find that genes enriched in A/T-ending codons are expressed more coordinately in general and across tissues and development than those enriched in G/C-ending codons. tRNA abundance measurements indicate that this coordination is linked to the expression changes of tRNA isoacceptors reading A/T-ending codons. Genes with similar codon composition are more likely to be part of the same protein complex, especially for genes with A/T-ending codons. The codon preferences of genes with A/T-ending codons are conserved among mammals and other vertebrates. We suggest that this orchestration contributes to tissue-specific and ontogenetic-specific expression, which can facilitate, for instance, timely protein complex formation.
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Affiliation(s)
- Hannah Benisty
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain.
| | - Xavier Hernandez-Alias
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Marc Weber
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Miquel Anglada-Girotto
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Federica Mantica
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Leandro Radusky
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Gökçe Senger
- Department of Experimental Oncology, European Institute of Oncology (IEO) IRCCS, Via Adamello 16, Milan 20139, Italy
| | - Ferriol Calvet
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Donate Weghorn
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; ICREA, Pg. Lluis Companys 23, Barcelona 08010, Spain
| | - Martin H Schaefer
- Department of Experimental Oncology, European Institute of Oncology (IEO) IRCCS, Via Adamello 16, Milan 20139, Italy
| | - Luis Serrano
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; ICREA, Pg. Lluis Companys 23, Barcelona 08010, Spain.
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23
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Zhang H, Xiong Y, Xiao W, Wu Y. Investigation of Genome Biology by Synthetic Genome Engineering. Bioengineering (Basel) 2023; 10:bioengineering10020271. [PMID: 36829765 PMCID: PMC9952402 DOI: 10.3390/bioengineering10020271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/10/2023] [Accepted: 02/13/2023] [Indexed: 02/22/2023] Open
Abstract
Synthetic genomes were designed based on an understanding of natural genomic information, offering an opportunity to engineer and investigate biological systems on a genome-wide scale. Currently, the designer version of the M. mycoides genome and the E. coli genome, as well as most of the S. cerevisiae genome, have been synthesized, and through the cycles of design-build-test and the following engineering of synthetic genomes, many fundamental questions of genome biology have been investigated. In this review, we summarize the use of synthetic genome engineering to explore the structure and function of genomes, and highlight the unique values of synthetic genomics.
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Affiliation(s)
- Hui Zhang
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yao Xiong
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Wenhai Xiao
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
| | - Yi Wu
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
- Correspondence:
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24
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Wang Z, Wang C, Zhang Y, Liu S, Cheng Y, Wang S, Xia P, Hao L. Porcine IGF-1R synonymous mutations in the extracellular domain affect proliferation and differentiation of skeletal muscle cells. Gene 2023; 854:147098. [PMID: 36496177 DOI: 10.1016/j.gene.2022.147098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Miniature pigs are considered ideal organ donors for xenotransplantation in humans, but the mechanism underlying their dwarfism remains to be elucidated. IGF-1R is a crucial factor in body size formation in mammals, including skeletal muscle formation and development. The extracellular domain (ECD) binds to the ligand, a phenomenon that results in the activation of downstream pathways. METHODS In this study, the coding sequences of two IGF-1R ECD haplotypes of the large Landrace (LP) pig and the small Bama Xiang (BM) pig were cloned into pcDNA3.1 vectors to generate pcDNA3.1-LP and pcDNA3.1-BM. The two recombinant vectors were then transfected into skeletal muscle cells. RESULTS IGF-1R transcript was found to be expressed at higher levels in the pcDNA3.1-LP group than in the pcDNA3.1-BM group. The IGF-1R ECD from LP promoted cell proliferation and CyclinD1 expression, and promoted the phosphorylation of protein kinase B (to yield p-AKT). Moreover, the IGF-1R ECD from LP increased cell differentiation and the expression of myogenic determination factor (MyoD). CONCLUSION Our data indicated that the IGF-1R ECD haplotypes between pig breeds with different body sizes affect IGF-1R expression, in turn affecting the proliferation and differentiation of skeletal muscle cells by activating downstream signalling pathways.
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Affiliation(s)
- Zhaoguo Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Chunli Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Ying Zhang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Songcai Liu
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China.
| | - Yunyun Cheng
- Ministry of Health Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun, Jilin 130061, China
| | - Siyao Wang
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Peijun Xia
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China
| | - Linlin Hao
- College of Animal Science, Jilin University, Changchun, Jilin 130061, China.
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25
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Moreira-Ramos S, Arias L, Flores R, Katz A, Levicán G, Orellana O. Synonymous mutations in the phosphoglycerate kinase 1 gene induce an altered response to protein misfolding in Schizosaccharomyces pombe. Front Microbiol 2023; 13:1074741. [PMID: 36713198 PMCID: PMC9875302 DOI: 10.3389/fmicb.2022.1074741] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
Background Proteostasis refers to the processes that regulate the biogenesis, folding, trafficking, and degradation of proteins. Any alteration in these processes can lead to cell malfunction. Protein synthesis, a key proteostatic process, is highly-regulated at multiple levels to ensure adequate adaptation to environmental and physiological challenges such as different stressors, proteotoxic conditions and aging, among other factors. Because alterations in protein translation can lead to protein misfolding, examining how protein translation is regulated may also help to elucidate in part how proteostasis is controlled. Codon usage bias has been implicated in the fine-tuning of translation rate, as more-frequent codons might be read faster than their less-frequent counterparts. Thus, alterations in codon usage due to synonymous mutations may alter translation kinetics and thereby affect the folding of the nascent polypeptide, without altering its primary structure. To date, it has been difficult to predict the effect of synonymous mutations on protein folding and cellular fitness due to a scarcity of relevant data. Thus, the purpose of this work was to assess the effect of synonymous mutations in discrete regions of the gene that encodes the highly-expressed enzyme 3-phosphoglycerate kinase 1 (pgk1) in the fission yeast Schizosaccharomyces pombe. Results By means of systematic replacement of synonymous codons along pgk1, we found slightly-altered protein folding and activity in a region-specific manner. However, alterations in protein aggregation, heat stress as well as changes in proteasome activity occurred independently of the mutated region. Concomitantly, reduced mRNA levels of the chaperones Hsp9 and Hsp16 were observed. Conclusion Taken together, these data suggest that codon usage bias of the gene encoding this highly-expressed protein is an important regulator of protein function and proteostasis.
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Affiliation(s)
- Sandra Moreira-Ramos
- Programa de Biología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Loreto Arias
- Programa de Biología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Rodrigo Flores
- Programa de Biología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Assaf Katz
- Programa de Biología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Gloria Levicán
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Omar Orellana
- Programa de Biología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile,*Correspondence: Omar Orellana,
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26
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Wu P, Xiao W, Luo Y, Xiong Z, Chen X, He J, Sha A, Gui M, Li Q. Comprehensive analysis of codon bias in 13 Ganoderma mitochondrial genomes. Front Microbiol 2023; 14:1170790. [PMID: 37213503 PMCID: PMC10192751 DOI: 10.3389/fmicb.2023.1170790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/12/2023] [Indexed: 05/23/2023] Open
Abstract
Introduction Codon usage bias is a prevalent phenomenon observed across various species and genes. However, the specific attributes of codon usage in the mitochondrial genome of Ganoderma species remain unknown. Methods In this study, we investigated the codon bias of 12 mitochondrial core protein-coding genes (PCGs) in 9 Ganoderma species, including 13 Ganoderma strains. Results The codons of all Ganoderma strains showed a preference for ending in A/T. Additionally, correlations between codon base composition and the codon adaptation index (CAI), codon bias index (CBI) and frequency of optimal codons (FOP) were identified, demonstrating the impact of base composition on codon bias. Various base bias indicators were found to vary between or within Ganoderma strains, including GC3s, the CAI, the CBI, and the FOP. The results also revealed that the mitochondrial core PCGs of Ganoderma have an average effective number of codons (ENC) lower than 35, indicating strong bias toward certain codons. Evidence from neutrality plot and PR2-bias plot analysis indicates that natural selection is a major factor affecting codon bias in Ganoderma. Additionally, 11 to 22 optimal codons (ΔRSCU>0.08 and RSCU>1) were identified in 13 Ganoderma strains, with GCA, AUC, and UUC being the most widely used optimal codons in Ganoderma. By analyzing the combined mitochondrial sequences and relative synonymous codon usage (RSCU) values, the genetic relationships between or within Ganoderma strains were determined, indicating variations between them. Nevertheless, RSCU-based analysis illustrated the intra- and interspecies relationships of certain Ganoderma species. Discussion This study deepens our insight into the synonymous codon usage characteristics, genetics, and evolution of this important fungal group.
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Affiliation(s)
- Peng Wu
- Yunnan Plateau Characteristic Agricultural Industry Research Institute, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Wenqi Xiao
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Yingyong Luo
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Zhuang Xiong
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Xiaodie Chen
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Jing He
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Ajia Sha
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Mingying Gui
- Yunnan Plateau Characteristic Agricultural Industry Research Institute, Yunnan Agricultural University, Kunming, Yunnan, China
- *Correspondence: Mingying Gui,
| | - Qiang Li
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
- Qiang Li,
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27
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Expression Analysis of a Novel Oxidoreductase Glutaredoxin 2 in Black Tiger Shrimp, Penaeus monodon. Antioxidants (Basel) 2022; 11:antiox11101857. [PMID: 36290579 PMCID: PMC9598912 DOI: 10.3390/antiox11101857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 01/08/2023] Open
Abstract
Glutaredoxin (Grx) is a glutathione-dependent oxidoreductase that is an important component of the redox system in organisms. However, there is a serious lack of sequence information and functional validation related to Grx in crustaceans. In this study, a novel Grx was identified in Penaeus monodon (PmGrx2). The full-length cDNA of PmGrx2 is 998 bp, with an open reading frame (ORF) of 441 bp, encoding 119 amino acids. Sequence alignment showed that PmGrx2 had the highest identity with Grx2 of Penaeus vannamei at 96.64% and clustered with Grx2 of other crustaceans. Quantitative real-time PCR (qRT-PCR) analysis showed that PmGrx2 was expressed in all examined tissues, with higher expression levels in the stomach and testis. PmGrx2 was continuously expressed during development and had the highest expression level in the zygote stage. Both ammonia-N stress and bacterial infection could differentially induce the expression of PmGrx2 in hepatopancreas and gills. When PmGrx2 was inhibited, the expression of antioxidant enzymes was suppressed, the degree of apoptosis increased, and the GSH content decreased with the prolongation of ammonia-N stress. Inhibition of PmGrx2 resulted in shrimp being exposed to a greater risk of oxidative damage. In addition, an SNP locus was screened on the exons of PmGrx2 that was significantly associated with an ammonia-N-stress-tolerance trait. This study suggests that PmGrx2 is involved in redox regulation and plays an important role in shrimps’ resistance to marine environmental stresses.
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28
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Proteostasis Deregulation in Neurodegeneration and Its Link with Stress Granules: Focus on the Scaffold and Ribosomal Protein RACK1. Cells 2022; 11:cells11162590. [PMID: 36010666 PMCID: PMC9406587 DOI: 10.3390/cells11162590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 12/12/2022] Open
Abstract
The role of protein misfolding, deposition, and clearance has been the dominant topic in the last decades of investigation in the field of neurodegeneration. The impairment of protein synthesis, along with RNA metabolism and RNA granules, however, are significantly emerging as novel potential targets for the comprehension of the molecular events leading to neuronal deficits. Indeed, defects in ribosome activity, ribosome stalling, and PQC—all ribosome-related processes required for proteostasis regulation—can contribute to triggering stress conditions and promoting the formation of stress granules (SGs) that could evolve in the formation of pathological granules, usually occurring during neurodegenerating effects. In this review, the interplay between proteostasis, mRNA metabolism, and SGs has been explored in a neurodegenerative context with a focus on Alzheimer’s disease (AD), although some defects in these same mechanisms can also be found in frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), which are discussed here. Finally, we highlight the role of the receptor for activated C kinase 1 (RACK1) in these pathologies and note that, besides its well characterized function as a scaffold protein, it has an important role in translation and can associate to stress granules (SGs) determining cell fate in response to diverse stress stimuli.
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Morales-Polanco F, Lee JH, Barbosa NM, Frydman J. Cotranslational Mechanisms of Protein Biogenesis and Complex Assembly in Eukaryotes. Annu Rev Biomed Data Sci 2022; 5:67-94. [PMID: 35472290 PMCID: PMC11040709 DOI: 10.1146/annurev-biodatasci-121721-095858] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The formation of protein complexes is crucial to most biological functions. The cellular mechanisms governing protein complex biogenesis are not yet well understood, but some principles of cotranslational and posttranslational assembly are beginning to emerge. In bacteria, this process is favored by operons encoding subunits of protein complexes. Eukaryotic cells do not have polycistronic mRNAs, raising the question of how they orchestrate the encounter of unassembled subunits. Here we review the constraints and mechanisms governing eukaryotic co- and posttranslational protein folding and assembly, including the influence of elongation rate on nascent chain targeting, folding, and chaperone interactions. Recent evidence shows that mRNAs encoding subunits of oligomeric assemblies can undergo localized translation and form cytoplasmic condensates that might facilitate the assembly of protein complexes. Understanding the interplay between localized mRNA translation and cotranslational proteostasis will be critical to defining protein complex assembly in vivo.
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Affiliation(s)
| | - Jae Ho Lee
- Department of Biology, Stanford University, Stanford, California, USA;
| | - Natália M Barbosa
- Department of Biology, Stanford University, Stanford, California, USA;
| | - Judith Frydman
- Department of Biology, Stanford University, Stanford, California, USA;
- Department of Genetics, Stanford University, Stanford, California, USA
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Komar AA. From Alpha to Beta - a co-translational way to fold? Cell Cycle 2022; 21:1663-1666. [PMID: 35400283 PMCID: PMC9302521 DOI: 10.1080/15384101.2022.2062186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 03/30/2022] [Indexed: 12/03/2022] Open
Abstract
Protein folding in the cell is largely a co-translational process occurring during protein synthesis on the ribosome. It has become evident that co-translational folding is characteristic to almost every protein in the cell of pro- and eukaryotic origin that are single and multidomain, single and multisubunit, cytosolic, secretory and membrane. Co-translational protein folding begins very early during the process of polypeptide chain synthesis on the ribosome, with some secondary structure elements forming inside the ribosomal tunnel and some tertiary structures forming inside the vestibule (lower/wider) region of the ribosomal exit tunnel. However, many details of co-translational folding remains incompletely understood. New data show that folding of a β-barrel protein begins with formation of an α-helix inside the ribosome that rearranges into a β-hairpin structure as the growing peptide reaches the wider/vestibule region of the exit tunnel. While it was previously suggested that such scenario can take place on the ribosome, the new data provide the first experimental evidence in support of this notion.
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Affiliation(s)
- Anton A. Komar
- Center for Gene Regulation in Health and Disease and Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OhioUSA
- Department of Biochemistry and Center for Rna Science and Therapeutics, Case Western Reserve University, Cleveland, OhioUSA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
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31
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Tao W, Bian J, Tang M, Zeng Y, Luo R, Ke Q, Li T, Li Y, Cui L. Genomic insights into positive selection during barley domestication. BMC PLANT BIOLOGY 2022; 22:267. [PMID: 35641942 PMCID: PMC9158214 DOI: 10.1186/s12870-022-03655-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Cultivated barley (Hordeum vulgare) is widely used in animal feed, beverages, and foods and has become a model crop for molecular evolutionary studies. Few studies have examined the evolutionary fates of different types of genes in barley during the domestication process. RESULTS The rates of nonsynonymous substitution (Ka) to synonymous substitution (Ks) were calculated by comparing orthologous genes in different barley groups (wild vs. landrace and landrace vs. improved cultivar). The rates of evolution, properties, expression patterns, and diversity of positively selected genes (PSGs) and negatively selected genes (NSGs) were compared. PSGs evolved more rapidly, possessed fewer exons, and had lower GC content than NSGs; they were also shorter and had shorter intron, exon, and first exon lengths. Expression levels were lower, the tissue specificity of expression was higher, and codon usage bias was weaker for PSGs than for NSGs. Nucleotide diversity analysis revealed that PSGs have undergone a more severe genetic bottleneck than NSGs. Several candidate PSGs were involved in plant growth and development, which might make them as excellent targets for the molecular breeding of barley. CONCLUSIONS Our comprehensive analysis of the evolutionary, structural, and functional divergence between PSGs and NSGs in barley provides new insight into the evolutionary trajectory of barley during domestication. Our findings also aid future functional studies of PSGs in barley.
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Affiliation(s)
- Wenjing Tao
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong, 261325 China
| | - Minqiang Tang
- College of Forestry, Hainan University, Haikou, Hainan, 570228 China
| | - Yan Zeng
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Ruihan Luo
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Qinglin Ke
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Tingting Li
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Yihan Li
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
| | - Licao Cui
- College of Bioscience and Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045 China
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Cope AL, Gilchrist MA. Quantifying shifts in natural selection on codon usage between protein regions: a population genetics approach. BMC Genomics 2022; 23:408. [PMID: 35637464 PMCID: PMC9153123 DOI: 10.1186/s12864-022-08635-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 05/03/2022] [Indexed: 11/28/2022] Open
Abstract
Background Codon usage bias (CUB), the non-uniform usage of synonymous codons, occurs across all domains of life. Adaptive CUB is hypothesized to result from various selective pressures, including selection for efficient ribosome elongation, accurate translation, mRNA secondary structure, and/or protein folding. Given the critical link between protein folding and protein function, numerous studies have analyzed the relationship between codon usage and protein structure. The results from these studies have often been contradictory, likely reflecting the differing methods used for measuring codon usage and the failure to appropriately control for confounding factors, such as differences in amino acid usage between protein structures and changes in the frequency of different structures with gene expression. Results Here we take an explicit population genetics approach to quantify codon-specific shifts in natural selection related to protein structure in S. cerevisiae and E. coli. Unlike other metrics of codon usage, our approach explicitly separates the effects of natural selection, scaled by gene expression, and mutation bias while naturally accounting for a region’s amino acid usage. Bayesian model comparisons suggest selection on codon usage varies only slightly between helix, sheet, and coil secondary structures and, similarly, between structured and intrinsically-disordered regions. Similarly, in contrast to prevous findings, we find selection on codon usage only varies slightly at the termini of helices in E. coli. Using simulated data, we show this previous work indicating “non-optimal” codons are enriched at the beginning of helices in S. cerevisiae was due to failure to control for various confounding factors (e.g. amino acid biases, gene expression, etc.), and rather than selection to modulate cotranslational folding. Conclusions Our results reveal a weak relationship between codon usage and protein structure, indicating that differences in selection on codon usage between structures are slight. In addition to the magnitude of differences in selection between protein structures being slight, the observed shifts appear to be idiosyncratic and largely codon-specific rather than systematic reversals in the nature of selection. Overall, our work demonstrates the statistical power and benefits of studying selective shifts on codon usage or other genomic features from an explicitly evolutionary approach. Limitations of this approach and future potential research avenues are discussed. Supplementary Information The online version contains supplementary material available at (10.1186/s12864-022-08635-0).
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Affiliation(s)
- Alexander L Cope
- Genome Science and Technology, University of Tennessee, Knoxville, United States.,Current Address: Department of Genetics, Rutgers University, Piscataway, United States
| | - Michael A Gilchrist
- Genome Science and Technology, University of Tennessee, Knoxville, United States. .,National Institute for Mathematical and Biological Synthesis, Knoxville, TN, United States. .,Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, United States.
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Jin YT, Pu DK, Guo HX, Deng Z, Chen LL, Guo FB. T-G-A Deficiency Pattern in Protein-Coding Genes and Its Potential Reason. Front Microbiol 2022; 13:847325. [PMID: 35602045 PMCID: PMC9116502 DOI: 10.3389/fmicb.2022.847325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 03/30/2022] [Indexed: 11/20/2022] Open
Abstract
If a stop codon appears within one gene, then its translation will be terminated earlier than expected. False folding of premature protein will be adverse to the host; hence, all functional genes would tend to avoid the intragenic stop codons. Therefore, we hypothesize that there will be less frequency of nucleotides corresponding to stop codons at each codon position of genes. Here, we validate this inference by investigating the nucleotide frequency at a large scale and results from 19,911 prokaryote genomes revealed that nucleotides coinciding with stop codons indeed have the lowest frequency in most genomes. Interestingly, genes with three types of stop codons all tend to follow a T-G-A deficiency pattern, suggesting that the property of avoiding intragenic termination pressure is the same and the major stop codon TGA plays a dominant role in this effect. Finally, a positive correlation between the TGA deficiency extent and the base length was observed in start-experimentally verified genes of Escherichia coli (E. coli). This strengthens the proof of our hypothesis. The T-G-A deficiency pattern observed would help to understand the evolution of codon usage tactics in extant organisms.
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Affiliation(s)
- Yan-Ting Jin
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Dong-Kai Pu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hai-Xia Guo
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zixin Deng
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Ling-Ling Chen
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, China
| | - Feng-Biao Guo
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
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Codon Usage for Genetic Diversity, and Evolutionary Dynamics of Novel Porcine Parvoviruses 2 through 7 (PPV2–PPV7). Viruses 2022; 14:v14020170. [PMID: 35215764 PMCID: PMC8876854 DOI: 10.3390/v14020170] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
Porcine parvovirus (PPV) is the main pathogen of reproductive disorders. In recent years, a new type of porcine parvovirus has been discovered and named porcine parvovirus 2 to 7 (PPV2–PPV7), and it is associated with porcine circovirus type 2 in pigs. Codon usage patterns and their effects on the evolution and host adaptation of different PPV sub-types are still largely unknown. Here, we define six main sub-types based on the Bayesian method of structural proteins of each sub-type of PPV, including PPV2, PPV3, PPV4, PPV5, PPV6, and PPV7, which show different degrees of codon usage preferences. The effective number of codons (ENC) indicates that all PPV sub-types have low codon bias. According to the codon adaptation index (CAI), PPV3 and PPV7 have the highest similarity with the host, which is related to the main popular tendency of the host in the field; according to the frequency of optimal codons (FOP), PPV7 has the highest frequency of optimal codons, indicating the most frequently used codons in its genes; and according to the relative codon deoptimization index (RCDI), PPV3 has a higher degree. Therefore, it is determined that mutational stress has a certain impact on the codon usage preference of PPV genes, and natural selection plays a very decisive and dominant role in the codon usage pattern. Our research provides a new perspective on the evolution of porcine parvovirus (PPV) and may help provide a new method for future research on the origin, evolutionary model, and host adaptation of PPV.
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35
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Rahman SU, Abdullah M, Khan AW, Haq MIU, Haq NU, Aziz A, Tao S. A detailed comparative analysis of codon usage bias in Alongshan virus. Virus Res 2022; 308:198646. [PMID: 34822954 DOI: 10.1016/j.virusres.2021.198646] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/05/2021] [Accepted: 11/19/2021] [Indexed: 11/25/2022]
Abstract
Alongshan virus (ALSV) is an emerging tick-borne pathogen that infects humans, causing febrile disease. ALSV uses Ixodes Persulcatus ticks to infect humans with a wide range of signs, from asymptomatic to encephalitis-like syndrome. There is an increasing public health concern about the ALSV infection. To get insight into the impacts of viral relations with their hosts on viral ability, survival, and evasion from hosts immune systems remain unknown. The codon usage is a driving force in viral genome evolution; therefore, we enrolled 41 ALSV strains in codon usage analysis to elucidate the molecular evolutionary dynamics of ALSV. The results indicate that the overall codon usage among ALSV isolates is relatively similar and slightly biased. Base compositions for the cds were in order of G >A >C >U and in the third position of codons G3 >A3 >C3 >T3. The RSCU values revealed that the more frequently used codons were mostly GC ended. Different codon preferences in ALSV genes in relation to codon usage of H. sapiens and Ixodes Persulcatus genes were found. Neutrality plot was determined to reveal the superiority of natural selection over directional mutation pressure in causing CUB based on GC12 versus GC3 contents. The results of these studies suggest that the emergence of ALSV in China, Russia and Finland may also be reflected in ALSV codon usage. Altogether, the presence of both mutation pressure and natural selection effect in shaping the codon usage patterns of ALSV.
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Affiliation(s)
- Siddiq Ur Rahman
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan; College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi, China.
| | - Muhammad Abdullah
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan
| | - Abdul Wajid Khan
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan
| | - Muhammad Inam Ul Haq
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan
| | - Noor Ul Haq
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan
| | - Abdul Aziz
- Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa 27200, Pakistan
| | - Shiheng Tao
- College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi, China.
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36
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Nair RR, Mohan M, Rudramurthy GR, Vivekanandam R, Satheshkumar PS. Strategies and Patterns of Codon Bias in Molluscum Contagiosum Virus. Pathogens 2021; 10:1649. [PMID: 34959603 PMCID: PMC8703355 DOI: 10.3390/pathogens10121649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 11/22/2022] Open
Abstract
Trends associated with codon usage in molluscum contagiosum virus (MCV) and factors governing the evolution of codon usage have not been investigated so far. In this study, attempts were made to decipher the codon usage trends and discover the major evolutionary forces that influence the patterns of codon usage in MCV with special reference to sub-types 1 and 2, MCV-1 and MCV-2, respectively. Three hypotheses were tested: (1) codon usage patterns of MCV-1 and MCV-2 are identical; (2) SCUB (synonymous codon usage bias) patterns of MCV-1 and MCV-2 slightly deviate from that of human host to avoid affecting the fitness of host; and (3) translational selection predominantly shapes the SCUB of MCV-1 and MCV-2. Various codon usage indices viz. relative codon usage value, effective number of codons and codon adaptation index were calculated to infer the nature of codon usage. Correspondence analysis and correlation analysis were performed to assess the relative contribution of silent base contents and significance of codon usage indices in defining bias in codon usage. Among the tested hypotheses, only the second and third hypotheses were accepted.
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Affiliation(s)
- Rahul Raveendran Nair
- Centre for Evolutionary Ecology, Aushmath Biosciences, Vadavalli Post, Coimbatore 641041, India
| | - Manikandan Mohan
- College of Pharmacy, University of Georgia, Athens, GA 30605, USA;
| | | | - Reethu Vivekanandam
- Department of Biotechnology, Bharathiyar University, Coimbatore 641046, India;
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Pintó RM, Burns CC, Moratorio G. Editorial: Codon Usage and Dinucleotide Composition of Virus Genomes: From the Virus-Host Interaction to the Development of Vaccines. Front Microbiol 2021; 12:791750. [PMID: 34917065 PMCID: PMC8671033 DOI: 10.3389/fmicb.2021.791750] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Rosa M Pintó
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, University of Barcelona, Barcelona, Spain
| | - Cara C Burns
- Division of Viral Disease, Molecular Epidemiology and Surveillance, Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States
| | - Gonzalo Moratorio
- Molecular Virology Laboratory, Experimental Evolution Laboratory, Nuclear Research Centre, School of Sciences, University of la República, Institute Pasteur, Montevideo, Uruguay
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38
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Wang S, Cheng Y, Liu S, Xu Y, Gao Y, Wang C, Wang Z, Feng T, Lu G, Song J, Xia P, Hao L. A synonymous mutation in IGF-1 impacts the transcription and translation process of gene expression. MOLECULAR THERAPY. NUCLEIC ACIDS 2021; 26:1446-1465. [PMID: 34938600 PMCID: PMC8655398 DOI: 10.1016/j.omtn.2021.08.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 08/10/2021] [Indexed: 11/18/2022]
Abstract
Insulin-like growth factor 1 (IGF-1) is considered to be a crucial gene in the animal development of bone and body size. In this study, a unique synonymous mutation (c.258 A > G) of the IGF-1 gene was modified with an adenine base editor to observe the growth and developmental situation of mutant mice. Significant expression differences and molecular mechanisms among vectors with different alanine synonymous codons were explored. Although modification of a single synonymous codon rarely interferes with animal phenotypes, we observed that the expression and secretion of IGF-1 were different between 8-week-old homozygous (Ho) and wild-type (WT) mice. In addition, the IGF-1 with optimal codon combinations showed a higher expression content than other codon combination modes at both transcription and translation levels and performed proliferation promotion. The gene stability and translation initiation efficiency also changed significantly. Our findings illustrated that the synonymous mutation altered the IGF-1 gene expression in individual mice and suggested that the synonymous mutation affected the IGF-1 expression and biological function through the transcription and translation processes.
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Affiliation(s)
- S.Y. Wang
- College of Animal Science, Jilin University, Changchun 130062, China
- Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Y.Y. Cheng
- Ministry of Health Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun, Jilin 130021, China
| | - S.C. Liu
- College of Animal Science, Jilin University, Changchun 130062, China
| | - Y.X. Xu
- College of Animal Science, Jilin University, Changchun 130062, China
| | - Y. Gao
- College of Animal Science, Jilin University, Changchun 130062, China
| | - C.L. Wang
- College of Animal Science, Jilin University, Changchun 130062, China
| | - Z.G. Wang
- College of Animal Science, Jilin University, Changchun 130062, China
| | - T.Q. Feng
- College of Animal Science, Jilin University, Changchun 130062, China
| | - G.H. Lu
- College of Animal Science, Jilin University, Changchun 130062, China
| | - J. Song
- College of Animal Science, Jilin University, Changchun 130062, China
| | - P.J. Xia
- College of Animal Science, Jilin University, Changchun 130062, China
| | - L.L. Hao
- College of Animal Science, Jilin University, Changchun 130062, China
- Corresponding author: Linlin Hao, College of Animal Science, Jilin University, Changchun 130062, China.
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Perach M, Zafrir Z, Tuller T, Lewinson O. Identification of conserved slow codons that are important for protein expression and function. RNA Biol 2021; 18:2296-2307. [PMID: 33691590 PMCID: PMC8632084 DOI: 10.1080/15476286.2021.1901185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 02/28/2021] [Accepted: 03/06/2021] [Indexed: 10/21/2022] Open
Abstract
ABSTRASTDue to the redundancy of the genetic code most amino acids are encoded by several 'synonymous' codons. These codons are used unevenly, and each organism demonstrates its own unique codon usage bias, where the 'preferred' codons are associated with tRNAs that are found in high concentrations. Therefore, for decades, the prevailing view had been that preferred and non-preferred codons are linked to high or slow translation rates, respectively.However, this simplified view is contrasted by the frequent failures of codon-optimization efforts and by evidence of non-preferred (i.e. 'slow') codons having specific roles important for efficient production of functional proteins. One such specific role of slower codons is the regulation of co-translational protein folding, a complex biophysical process that is very challenging to model or to measure.Here, we combined a genome-wide approach with experiments to investigate the role of slow codons in protein production and co-translational folding. We analysed homologous gene groups from divergent bacteria and identified positions of inter-species conservation of bias towards slow codons. We then generated mutants where the conserved slow codons are substituted with 'fast' ones, and experimentally studied the effects of these codon substitutions. Using cellular and biochemical approaches we find that at certain locations, slow-to-fast codon substitutions reduce protein expression, increase protein aggregation, and impair protein function.This report provides an approach for identifying functionally relevant regions with slower codons and demonstrates that such codons are important for protein expression and function.
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Affiliation(s)
- Michal Perach
- Department of Molecular Microbiology, the Bruce and Ruth Rappaport Faculty of Medicine, The Technion-Israel Institute of Technology, Haifa, Israel
| | - Zohar Zafrir
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Tamir Tuller
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Oded Lewinson
- Department of Molecular Microbiology, the Bruce and Ruth Rappaport Faculty of Medicine, The Technion-Israel Institute of Technology, Haifa, Israel
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40
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Chang X, Zhu L, Hu J, Zhang Q, Zhang F, Lin Q, Gai X, Wang X. Unveiling of Evolution Pattern for HY12 Enterovirus Quasispecies and Pathogenicity Alteration. Viruses 2021; 13:v13112174. [PMID: 34834980 PMCID: PMC8619380 DOI: 10.3390/v13112174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 11/16/2022] Open
Abstract
Enterovirus, like the majority of RNA viruses, evolves to survive the changeable environments by a variety of strategies. Here, we showed that HY12 virus evolved to alter its characteristics and pathogenicity by employing a non-synonymous mutation. Analyses of 5'UTR, VP1 and VP2 gene sequences revealed the existence of HY12 virus in an array of mutants defined as quasispecies. The determination of diversity and complexity showed that the mutation rate and complexity of HY12 virus quasispecies increased, while the proportion of HY12 VP1 and VP2 consensus (master) sequences decreased with increasing passages. Synonymous mutation and non-synonymous mutation analysis displayed a positive selection for HY12 quasispecies evolution. A comparison of HY12 virus in different passages demonstrated that HY12 virus altered its characteristic, phenotype, and pathogenicity via non-synonymous mutation. These findings revealed the evolution pattern for HY12 virus, and the alteration of HY12 virus characteristics and pathogenicity by mutation.
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Affiliation(s)
- Xiaoran Chang
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Lisai Zhu
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Junying Hu
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Qun Zhang
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Fuhui Zhang
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Qian Lin
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Xiaochun Gai
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
| | - Xinping Wang
- College of Veterinary Medicine, Jilin University, Changchun 130062, China; (X.C.); (L.Z.); (J.H.); (Q.Z.); (F.Z.); (Q.L.); (X.G.)
- Key Laboratory for Zoonoses Research, Ministry of Education, Changchun 130062, China
- Correspondence:
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41
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Lyu X, Yang Q, Zhao F, Liu Y. Codon usage and protein length-dependent feedback from translation elongation regulates translation initiation and elongation speed. Nucleic Acids Res 2021; 49:9404-9423. [PMID: 34417614 PMCID: PMC8450115 DOI: 10.1093/nar/gkab729] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/26/2021] [Accepted: 08/17/2021] [Indexed: 12/26/2022] Open
Abstract
Essential cellular functions require efficient production of many large proteins but synthesis of large proteins encounters many obstacles in cells. Translational control is mostly known to be regulated at the initiation step. Whether translation elongation process can feedback to regulate initiation efficiency is unclear. Codon usage bias, a universal feature of all genomes, plays an important role in determining gene expression levels. Here, we discovered that there is a conserved but codon usage-dependent genome-wide negative correlation between protein abundance and CDS length. The codon usage effects on protein expression and ribosome flux on mRNAs are influenced by CDS length; optimal codon usage preferentially promotes production of large proteins. Translation of mRNAs with long CDS and non-optimal codon usage preferentially induces phosphorylation of initiation factor eIF2α, which inhibits translation initiation efficiency. Deletion of the eIF2α kinase CPC-3 (GCN2 homolog) in Neurospora preferentially up-regulates large proteins encoded by non-optimal codons. Surprisingly, CPC-3 also inhibits translation elongation rate in a codon usage and CDS length-dependent manner, resulting in slow elongation rates for long CDS mRNAs. Together, these results revealed a codon usage and CDS length-dependent feedback mechanism from translation elongation to regulate both translation initiation and elongation kinetics.
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Affiliation(s)
- Xueliang Lyu
- Department of Physiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA.,State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Qian Yang
- Department of Physiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Fangzhou Zhao
- Department of Physiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
| | - Yi Liu
- Department of Physiology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
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42
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Komar AA. A Code Within a Code: How Codons Fine-Tune Protein Folding in the Cell. BIOCHEMISTRY (MOSCOW) 2021; 86:976-991. [PMID: 34488574 DOI: 10.1134/s0006297921080083] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The genetic code sets the correspondence between the sequence of a given nucleotide triplet in an mRNA molecule, called a codon, and the amino acid that is added to the growing polypeptide chain during protein synthesis. With four bases (A, G, U, and C), there are 64 possible triplet codons: 61 sense codons (encoding amino acids) and 3 nonsense codons (so-called, stop codons that define termination of translation). In most organisms, there are 20 common/standard amino acids used in protein synthesis; thus, the genetic code is redundant with most amino acids (with the exception of Met and Trp) are being encoded by more than one (synonymous) codon. Synonymous codons were initially presumed to have entirely equivalent functions, however, the finding that synonymous codons are not present at equal frequencies in mRNA suggested that the specific codon choice might have functional implications beyond coding for amino acid. Observation of nonequivalent use of codons in mRNAs implied a possibility of the existence of auxiliary information in the genetic code. Indeed, it has been found that genetic code contains several layers of such additional information and that synonymous codons are strategically placed within mRNAs to ensure a particular translation kinetics facilitating and fine-tuning co-translational protein folding in the cell via step-wise/sequential structuring of distinct regions of the polypeptide chain emerging from the ribosome at different points in time. This review summarizes key findings in the field that have identified the role of synonymous codons and their usage in protein folding in the cell.
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Affiliation(s)
- Anton A Komar
- Center for Gene Regulation in Health and Disease and Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OH 44115, USA. .,Department of Biochemistry and Center for RNA Science and Therapeutics, Case Western Reserve University, Cleveland, OH 44106, USA.,Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA.,DAPCEL, Inc., Cleveland, OH 44106, USA
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43
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Iriarte A, Lamolle G, Musto H. Codon Usage Bias: An Endless Tale. J Mol Evol 2021; 89:589-593. [PMID: 34383106 DOI: 10.1007/s00239-021-10027-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/06/2021] [Indexed: 11/28/2022]
Abstract
Since the genetic code is degenerate, several codons are translated to the same amino acid. Although these triplets were historically considered to be "synonymous" and therefore expected to be used at rather equal frequencies in all genomes, we now know that this is not the case. Indeed, since several coding sequences were obtained in the late '70s and early '80s in the last century, coming from either the same or different species, it was evident that (a) each genome, taken globally, displayed different codon usage patterns, which means that different genomes display a particular global codon usage table when all genes are considered together, and (b) there is a strong intragenomic diversity: in other words, within a given species the codon usage pattern can (and usually do) differ greatly among genes in the same genome. These different patterns were attributed to two main factors: first, the mutational bias characteristic of each genome, which determines that GC- poor species display a general bias towards A/T codons while the reverse is true for GC- rich species. Second, the differences in codon usage among genes from the same species are due to natural selection acting at the level of translation, in such a way that highly expressed genes tend to use codons that match with the most abundant isoacceptor tRNAs. Thus, these genes are translated at a highest rate, which in turn leads to avoid the limiting factor in translation which is the number of available ribosomes per cell. Although these explanations are still valid, new factors are almost constantly postulated to affect codon usage. In this mini review, we shall try to summarize them.
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Affiliation(s)
- Andrés Iriarte
- Laboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.,Laboratorio de Biología Computacional, Depto. de Desarrollo Biotecnológico, Instituto de Higiene, Facultad de Medicina, Universidad de la República, 11600, Montevideo, Uruguay
| | - Guillermo Lamolle
- Laboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay
| | - Héctor Musto
- Laboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
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44
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To P, Whitehead B, Tarbox HE, Fried SD. Nonrefoldability is Pervasive Across the E. coli Proteome. J Am Chem Soc 2021; 143:11435-11448. [PMID: 34308638 DOI: 10.1021/jacs.1c03270] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Decades of research on protein folding have primarily focused on a subset of small proteins that can reversibly refold from a denatured state. However, these studies have generally not been representative of the complexity of natural proteomes, which consist of many proteins with complex architectures and domain organizations. Here, we introduce an experimental approach to probe protein refolding kinetics for whole proteomes using mass spectrometry-based proteomics. Our study covers the majority of the soluble E. coli proteome expressed during log-phase growth, and among this group, we find that one-third of the E. coli proteome is not intrinsically refoldable on physiological time scales, a cohort that is enriched with certain fold-types, domain organizations, and other biophysical features. We also identify several properties and fold-types that are correlated with slow refolding on the minute time scale. Hence, these results illuminate when exogenous factors and processes, such as chaperones or cotranslational folding, might be required for efficient protein folding.
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Affiliation(s)
- Philip To
- Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Briana Whitehead
- Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Haley E Tarbox
- Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Stephen D Fried
- Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States.,Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, United States
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45
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Ata G, Wang H, Bai H, Yao X, Tao S. Edging on Mutational Bias, Induced Natural Selection From Host and Natural Reservoirs Predominates Codon Usage Evolution in Hantaan Virus. Front Microbiol 2021; 12:699788. [PMID: 34276633 PMCID: PMC8283416 DOI: 10.3389/fmicb.2021.699788] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 06/07/2021] [Indexed: 12/14/2022] Open
Abstract
The molecular evolutionary dynamics that shape hantaviruses’ evolution are poorly understood even now, besides the contribution of virus-host interaction to their evolution remains an open question. Our study aimed to investigate these two aspects in Hantaan virus (HTNV)—the prototype of hantaviruses and an emerging zoonotic pathogen that infects humans, causing hemorrhagic fever with renal syndrome (HFRS): endemic in Far East Russia, China, and South Korea—via a comprehensive, phylogenetic-dependent codon usage analysis. We found that host- and natural reservoir-induced natural selection is the primary determinant of its biased codon choices, exceeding the mutational bias effect. The phylogenetic analysis of HTNV strains resulted in three distinct clades: South Korean, Russian, and Chinese. An effective number of codon (ENC) analysis showed a slightly biased codon usage in HTNV genomes. Nucleotide composition and RSCU analyses revealed a significant bias toward A/U nucleotides and A/U-ended codons, indicating the potential influence of mutational bias on the codon usage patterns of HTNV. Via ENC-plot, Parity Rule 2 (PR2), and neutrality plot analyses, we would conclude the presence of both mutation pressure and natural selection effect in shaping the codon usage patterns of HTNV; however, natural selection is the dominant factor influencing its codon usage bias. Codon adaptation index (CAI), Relative codon deoptimization index (RCDI), and Similarity Index (SiD) analyses uncovered the intense selection pressure from the host (Human) and natural reservoirs (Striped field mouse and Chinese white-bellied rat) in shaping HTNV biased codon choices. Our study clearly revealed the evolutionary processes in HTNV and the role of virus-host interaction in its evolution. Moreover, it opens the door for a more comprehensive codon usage analysis for all hantaviruses species to determine their molecular evolutionary dynamics and adaptability to several hosts and environments. We believe that our research will help in a better and deep understanding of HTNV evolution that will serve its future basic research and aid live attenuated vaccines design.
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Affiliation(s)
- Galal Ata
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Xianyang, China
| | - Hao Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Xianyang, China
| | - Haoxiang Bai
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Xianyang, China
| | - Xiaoting Yao
- College of Veterinary Medicine, Northwest A&F University, Xianyang, China
| | - Shiheng Tao
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University, Xianyang, China
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46
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Liu W, Li J, Du H, Ou Z. Mutation Profiles, Glycosylation Site Distribution and Codon Usage Bias of Human Papillomavirus Type 16. Viruses 2021; 13:v13071281. [PMID: 34209097 PMCID: PMC8310365 DOI: 10.3390/v13071281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/13/2021] [Accepted: 06/21/2021] [Indexed: 11/29/2022] Open
Abstract
Human papillomavirus type 16 (HPV16) is the most prevalent HPV type causing cervical cancers. Herein, using 1597 full genomes, we systemically investigated the mutation profiles, surface protein glycosylation sites and the codon usage bias (CUB) of HPV16 from different lineages and sublineages. Multiple lineage- or sublineage-conserved mutation sites were identified. Glycosylation analysis showed that HPV16 lineage D contained the highest number of different glycosylation sites from lineage A in both L1 and L2 capsid proteins, which might lead to their antigenic distances between the two lineages. CUB analysis showed that the HPV16 open reading frames (ORFs) preferred codons ending with A/T. The CUB of HPV16 ORFs was mainly affected by natural selection except for E1, E5 and L2. HPV16 only shared some of the preferred codons with humans, which might help reduce competition in translational resources. These findings increase our understanding of the heterogeneity between HPV16 lineages and sublineages, and the adaptation mechanism of HPV in human cells. In summary, this study might facilitate HPV classification and improve vaccine development and application.
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Affiliation(s)
- Wei Liu
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510000, China; (W.L.); (J.L.); (H.D.)
- BGI-Shenzhen, Shenzhen 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China
| | - Junhua Li
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510000, China; (W.L.); (J.L.); (H.D.)
- BGI-Shenzhen, Shenzhen 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China
| | - Hongli Du
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510000, China; (W.L.); (J.L.); (H.D.)
| | - Zhihua Ou
- BGI-Shenzhen, Shenzhen 518083, China
- Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China
- Correspondence: ; Tel.: +86-134-3428-7879
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47
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Das JK, Chakraborty S, Roy S. A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19. J Biomed Inform 2021; 118:103801. [PMID: 33965637 PMCID: PMC8102073 DOI: 10.1016/j.jbi.2021.103801] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 05/02/2021] [Accepted: 05/03/2021] [Indexed: 12/16/2022]
Abstract
Understanding the molecular mechanism of COVID-19 pathogenesis helps in the rapid therapeutic target identification. Usually, viral protein targets host proteins in an organized fashion. The expression of any viral gene depends mostly on the host translational machinery. Recent studies report the great significance of codon usage biases in establishing host-viral protein–protein interactions (PPI). Exploring the codon usage patterns between a pair of co-evolved host and viral proteins may present novel insight into the host-viral protein interactomes during disease pathogenesis. Leveraging the similarity in codon usage patterns, we propose a computational scheme to recreate the host-viral protein–protein interaction network. We use host proteins from seventeen (17) essential signaling pathways for our current work towards understanding the possible targeting mechanism of SARS-CoV-2 proteins. We infer both negatively and positively interacting edges in the network. Further, extensive analysis is performed to understand the host PPI network topologically and the attacking behavior of the viral proteins. Our study reveals that viral proteins mostly utilize codons, rare in the targeted host proteins (negatively correlated interaction). Among them, non-structural proteins, NSP3 and structural protein, Spike (S), are the most influential proteins in interacting with multiple host proteins. While ranking the most affected pathways, MAPK pathways observe to be the worst affected during the SARS-CoV-2 infection. Several proteins participating in multiple pathways are highly central in host PPI and mostly targeted by multiple viral proteins. We observe many potential targets (host proteins) from the affected pathways associated with the various drug molecules, including Arsenic trioxide, Dexamethasone, Hydroxychloroquine, Ritonavir, and Interferon beta, which are either under clinical trial or in use during COVID-19.
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Affiliation(s)
- Jayanta Kumar Das
- Department of Pediatrics, Johns Hopkins University, School of Medicine, MD, USA
| | | | - Swarup Roy
- Network Reconstruction & Analysis (NetRA) Lab, Department of Computer Applications, Sikkim University, Gangtok, India.
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48
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Pintó RM, Bosch A. The codon usage code for co-translational folding of viral capsids. Genome Biol Evol 2021; 13:6259148. [PMID: 33914886 PMCID: PMC8410136 DOI: 10.1093/gbe/evab089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2021] [Indexed: 12/25/2022] Open
Abstract
Codon bias is common to all organisms and is the result of mutation, drift, and selection. Selection for the efficiency and accuracy of translation is well recognized as a factor shaping the codon usage. In contrast, fewer studies report the control of the rate of translation as an additional selective pressure influencing the codon usage of an organism. Experimental molecular evolution using RNA virus populations is a powerful tool for the identification of mechanisms underlying the codon bias. Indeed, the role of deoptimized codons on the cotranslational folding has been proven in the capsids of two fecal-orally transmitted picornaviruses, poliovirus, and the hepatitis A virus, emphasizing the role of the frequency of codons in determining the phenotype. However, most studies on virus codon usage rely only on computational analyses, and experimental studies should be encouraged to clearly define the role of selection on codon evolution.
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Affiliation(s)
- Rosa M Pintó
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, and Institute of Nutrition and Safety, University of Barcelona, Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Section of Microbiology, Virology and Biotechnology, Department of Genetics, Microbiology and Statistics, School of Biology, and Institute of Nutrition and Safety, University of Barcelona, Barcelona, Spain
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49
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Franzo G, Tucciarone CM, Legnardi M, Cecchinato M. Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues. BMC Genomics 2021; 22:244. [PMID: 33827429 PMCID: PMC8025453 DOI: 10.1186/s12864-021-07559-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/26/2021] [Indexed: 11/10/2022] Open
Abstract
Background Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution. However, very few of those studies focused on the effect of genome composition and the codon bias of different IBV proteins, despite the remarkable increase in available complete genomes. In the present study, all IBV complete genomes were downloaded (n = 383), and several statistics representative of genome composition and codon bias were calculated for each protein-coding sequence, including but not limited to, the nucleotide odds ratio, relative synonymous codon usage and effective number of codons. Additionally, viral codon usage was compared to host codon usage based on a collection of highly expressed genes in IBV target and nontarget tissues. Results The results obtained demonstrated a significant difference among structural, non-structural and accessory proteins, especially regarding dinucleotide composition, which appears under strong selective forces. In particular, some dinucleotide pairs, such as CpG, a probable target of the host innate immune response, are underrepresented in genes coding for pp1a, pp1ab, S and N. Although genome composition and dinucleotide bias appear to affect codon usage, additional selective forces may act directly on codon bias. Variability in relative synonymous codon usage and effective number of codons was found for different proteins, with structural proteins and polyproteins being more adapted to the codon bias of host target tissues. In contrast, accessory proteins had a more biased codon usage (i.e., lower number of preferred codons), which might contribute to the regulation of their expression level and timing throughout the cell cycle. Conclusions The present study confirms the existence of selective forces acting directly on the genome and not only indirectly through phenotype selection. This evidence might help understanding IBV biology and in developing attenuated strains without affecting the protein phenotype and therefore immunogenicity. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07559-5.
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Affiliation(s)
- Giovanni Franzo
- Microbiology and Infectious Diseases, Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16 - 35020 Legnaro, Padua, Italy.
| | - Claudia Maria Tucciarone
- Microbiology and Infectious Diseases, Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16 - 35020 Legnaro, Padua, Italy
| | - Matteo Legnardi
- Microbiology and Infectious Diseases, Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16 - 35020 Legnaro, Padua, Italy
| | - Mattia Cecchinato
- Microbiology and Infectious Diseases, Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'Università 16 - 35020 Legnaro, Padua, Italy
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50
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Gaba A, Wang H, Fortune T, Qu X. Smart-ORF: a single-molecule method for accessing ribosome dynamics in both upstream and main open reading frames. Nucleic Acids Res 2021; 49:e26. [PMID: 33330921 PMCID: PMC7969011 DOI: 10.1093/nar/gkaa1185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/16/2020] [Accepted: 11/20/2020] [Indexed: 11/15/2022] Open
Abstract
Upstream open reading frame (uORF) translation disrupts scanning 43S flux on mRNA and modulates main open reading frame (mORF) translation efficiency. Current tools, however, have limited access to ribosome dynamics in both upstream and main ORFs of an mRNA. Here, we develop a new two-color in vitro fluorescence assay, Smart-ORF, that monitors individual uORF and mORF translation events in real-time with single-molecule resolution. We demonstrate the utility of Smart-ORF by applying it to uORF-encoded arginine attenuator peptide (AAP)-mediated translational regulation. The method enabled quantification of uORF and mORF initiation efficiencies, 80S dwell time, polysome formation, and the correlation between uORF and mORF translation dynamics. Smart-ORF revealed that AAP-mediated 80S stalling in the uORF stimulates the uORF initiation efficiency and promotes clustering of slower uORF-translating ribosomes. This technology provides a new tool that can reveal previously uncharacterized dynamics of uORF-containing mRNA translation.
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Affiliation(s)
- Anthony Gaba
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Hongyun Wang
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Trinisia Fortune
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Xiaohui Qu
- Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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