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Kan J, Zhang S, Wu Z, Bi D. Exploring Plastomic Resources in Sempervivum (Crassulaceae): Implications for Phylogenetics. Genes (Basel) 2024; 15:441. [PMID: 38674377 PMCID: PMC11049882 DOI: 10.3390/genes15040441] [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: 03/01/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
The plastid organelle is vital for photosynthesis and energy production. Advances in sequencing technology have enabled the exploration of plastomic resources, offering insights into plant evolution, diversity, and conservation. As an important group of horticultural ornamentals in the Crassulaceae family, Sempervivum plants are known for their unique rosette-like structures and reproduction through offsets. Despite their popularity, the classification status of Sempervivum remains uncertain, with only a single plastome sequence currently available. Furthermore, codon usage bias (CUB) is a widespread phenomenon of the unbalanced usage of synonymous codons in the coding sequence (CDS). However, due to the limited available plastid data, there has been no research that focused on the CUB analysis among Sempervivum until now. To address these gaps, we sequenced and released the plastomes of seven species and one subspecies from Sempervivum, revealing several consistent patterns. These included a shared 110 bp extension of the rps19 gene, 14 hypervariable regions (HVRs) with distinct nucleotide diversity (π: 0.01173 to 0.02702), and evidence of selective pressures shaping codon usage. Notably, phylogenetic analysis robustly divided the monophyletic clade into two sections: Jovibarba and Sempervivum. In conclusion, this comprehensive plastomic resource provides valuable insights into Sempervivum evolution and offers potential molecular markers for DNA barcoding.
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Affiliation(s)
- Junhu Kan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (J.K.); (S.Z.)
| | - Shuo Zhang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (J.K.); (S.Z.)
| | - Zhiqiang Wu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (J.K.); (S.Z.)
| | - De Bi
- College of Landscape Engineering, Suzhou Polytechnic Institute of Agriculture, Suzhou 215000, China
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2
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Khandia R, Pandey MK, Rzhepakovsky IV, Khan AA, Alexiou A. Synonymous Codon Variant Analysis for Autophagic Genes Dysregulated in Neurodegeneration. Mol Neurobiol 2023; 60:2252-2267. [PMID: 36637744 DOI: 10.1007/s12035-022-03081-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 09/27/2022] [Indexed: 01/14/2023]
Abstract
Neurodegenerative disorders are often a culmination of the accumulation of abnormally folded proteins and defective organelles. Autophagy is a process of removing these defective proteins, organelles, and harmful substances from the body, and it works to maintain homeostasis. If autophagic removal of defective proteins has interfered, it affects neuronal health. Some of the autophagic genes are specifically found to be associated with neurodegenerative phenotypes. Non-functional, mutated, or gene copies having silent mutations, often termed synonymous variants, might explain this. However, these synonymous variant which codes for exactly similar proteins have different translation rates, stability, and gene expression profiling. Hence, it would be interesting to study the pattern of synonymous variant usage. In the study, synonymous variant usage in various transcripts of autophagic genes ATG5, ATG7, ATG8A, ATG16, and ATG17/FIP200 reported to cause neurodegeneration (if dysregulated) is studied. These genes were analyzed for their synonymous variant usage; nucleotide composition; any possible nucleotide skew in a gene; physical properties of autophagic protein including GRAVY and AROMA; hydropathicity; instability index; and frequency of acidic, basic, neutral amino acids; and gene expression level. The study will help understand various evolutionary forces acting on these genes and the possible augmentation of a gene if showing unusual behavior.
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Affiliation(s)
- Rekha Khandia
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, 462026, India.
| | - Megha Katare Pandey
- Department of Translational Medicine, All India Institute of Medical Sciences, Bhopal, 462020, India
| | | | - Azmat Ali Khan
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
| | - Athanasios Alexiou
- Novel Global Community Educational Foundation, Hebersham, Australia
- AFNP Med, Wien, Austria
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3
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Bansal S, Mallikarjuna MG, Balamurugan A, Nayaka SC, Prakash G. Composition and Codon Usage Pattern Results in Divergence of the Zinc Binuclear Cluster ( Zn(II)2Cys6) Sequences among Ascomycetes Plant Pathogenic Fungi. J Fungi (Basel) 2022; 8:1134. [PMID: 36354901 PMCID: PMC9694491 DOI: 10.3390/jof8111134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 10/22/2022] [Accepted: 10/23/2022] [Indexed: 07/29/2023] Open
Abstract
Zinc binuclear cluster proteins (ZBC; Zn(II)2Cys6) are unique to the fungi kingdom and associated with a series of functions, viz., the utilization of macromolecules, stress tolerance, and most importantly, host-pathogen interactions by imparting virulence to the pathogen. Codon usage bias (CUB) is the phenomenon of using synonymous codons in a non-uniform fashion during the translation event, which has arisen because of interactions among evolutionary forces. The Zn(II)2Cys6 coding sequences from nine Ascomycetes plant pathogenic species and model system yeast were analysed for compositional and codon usage bias patterns. The clustering analysis diverged the Ascomycetes fungi into two clusters. The nucleotide compositional and relative synonymous codon usage (RSCU) analysis indicated GC biasness toward Ascomycetes fungi compared with the model system S. cerevisiae, which tends to be AT-rich. Further, plant pathogenic Ascomycetes fungi belonging to cluster-2 showed a higher number of GC-rich high-frequency codons than cluster-1 and was exclusively AT-rich in S. cerevisiae. The current investigation also showed the mutual effect of the two evolutionary forces, viz. natural selection and compositional constraints, on the CUB of Zn(II)2Cys6 genes. The perseverance of GC-rich codons of Zn(II)2Cys6 in Ascomycetes could facilitate the invasion process. The findings of the current investigation show the role of CUB and nucleotide composition in the evolutionary divergence of Ascomycetes plant pathogens and paves the way to target specific codons and sequences to modulate host-pathogen interactions through genome editing and functional genomics tools.
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Affiliation(s)
- Shilpi Bansal
- Division of Plant Pathology, ICAR—Indian Agricultural Research Institute, New Delhi 110012, India
| | | | - Alexander Balamurugan
- Division of Plant Pathology, ICAR—Indian Agricultural Research Institute, New Delhi 110012, India
| | - S. Chandra Nayaka
- Department of Studies in Applied Botany and Biotechnology, University of Mysore, Mysore 570005, India
| | - Ganesan Prakash
- Division of Plant Pathology, ICAR—Indian Agricultural Research Institute, New Delhi 110012, India
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4
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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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5
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Mazumder GA, Uddin A, Chakraborty S. Analysis of codon usage bias in mitochondrial CO gene among platyhelminthes. Mol Biochem Parasitol 2021; 245:111410. [PMID: 34487743 DOI: 10.1016/j.molbiopara.2021.111410] [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: 06/12/2021] [Revised: 08/19/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022]
Abstract
The phenomenon of non-uniform usage of the synonymous codons, where some codons are given more preference to others, is known as codon usage bias (CUB). CUB is known to be determined by two major evolutionary forces i.e. mutation pressure and selection. We used various approaches to understand the codon usage pattern in mitochondrial CO (MT-CO) genes involved in complex IV of the respiratory chain (RC) as no work was reported yet. Our present study revealed that CUB was relatively high and the coding sequences were rich in A and T. Correspondence analysis further indicated that A/T compositional properties under mutational pressure might be affecting the codon usage pattern and was different in different classes for MT-CO gene. A highly significant correlation between A% and A3%, T% and T3%, G% and G3%, C% and C3%, GC% and GC3% in all the classes indicated that compositional constraints under mutational pressure and natural selection might affect the CUB. Neutrality plot indicated that both natural selection and mutational bias affected the CUB, where, natural selection played the major role as compared to mutational pressure.
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Affiliation(s)
- Gulshana A Mazumder
- Department of Biotechnology, Assam University, Silchar, 788011, Assam, India
| | - Arif Uddin
- Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi, 788150, Assam, India
| | - Supriyo Chakraborty
- Department of Biotechnology, Assam University, Silchar, 788011, Assam, India.
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6
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Feng Z, Li K, Lou J, Ma M, Wu Y, Peng C. A Novel DNA Replication-Related Signature Predicting Recurrence After R0 Resection of Pancreatic Ductal Adenocarcinoma: Prognostic Value and Clinical Implications. Front Cell Dev Biol 2021; 9:619549. [PMID: 33748108 PMCID: PMC7969722 DOI: 10.3389/fcell.2021.619549] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/15/2021] [Indexed: 12/22/2022] Open
Abstract
The aim of any surgical resection for pancreatic ductal adenocarcinoma (PDAC) is to achieve tumor-free margins (R0). R0 margins give rise to better outcomes than do positive margins (R1). Nevertheless, postoperative morbidity after R0 resection remains high and prognostic gene signature predicting recurrence risk of patients in this subgroup is blank. Our study aimed to develop a DNA replication-related gene signature to stratify the R0-treated PDAC patients with various recurrence risks. We conducted Cox regression analysis and the LASSO algorithm on 273 DNA replication-related genes and eventually constructed a 7-gene signature. The predictive capability and clinical feasibility of this risk model were assessed in both training and external validation sets. Pathway enrichment analysis showed that the signature was closely related to cell cycle, DNA replication, and DNA repair. These findings may shed light on the identification of novel biomarkers and therapeutic targets for PDAC.
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Affiliation(s)
- Zengyu Feng
- Department of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.,Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kexian Li
- Department of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianyao Lou
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Mindi Ma
- Department of Nuclear Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yulian Wu
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chenghong Peng
- Department of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
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7
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Barbhuiya PA, Uddin A, Chakraborty S. Understanding the codon usage patterns of mitochondrial CO genes among Amphibians. Gene 2021; 777:145462. [PMID: 33515725 DOI: 10.1016/j.gene.2021.145462] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 12/18/2020] [Accepted: 01/20/2021] [Indexed: 11/17/2022]
Abstract
A universal phenomenon of using synonymous codons unequally in coding sequences known as codon usage bias (CUB) is observed in all forms of life. Mutation and natural selection drive CUB in many species but the relative role of evolutionary forces varies across species, genes and genomes. We studied the CUB in mitochondrial (mt) CO genes from three orders of Amphibia using bioinformatics approach as no work was reported yet. We observed that CUB of mt CO genes of Amphibians was weak across different orders. Order Caudata had higher CUB followed by Gymnophiona and Anura for all genes and CUB also varied across genes. Nucleotide composition analysis showed that CO genes were AT-rich. The AT content in Caudata was higher than that in Gymnophiona while Anura showed the least content. Multiple investigations namely nucleotide composition, correspondence analysis, parity plot analysis showed that the interplay of mutation pressure and natural selection caused CUB in these genes. Neutrality plot suggested the involvement of natural selection was more than the mutation pressure. The contribution of natural selection was higher in Anura than Gymnophiona and the lowest in Caudata. The codons CGA, TGA, AAA were found to be highly favoured by nature across all genes and orders.
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Affiliation(s)
- Parvin A Barbhuiya
- Department of Biotechnology, Assam University, Silchar 788150, Assam, India
| | - Arif Uddin
- Department of Zoology, Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi 788150, Assam, India
| | - Supriyo Chakraborty
- Department of Biotechnology, Assam University, Silchar 788150, Assam, India.
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8
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Deb B, Uddin A, Chakraborty S. Composition, codon usage pattern, protein properties, and influencing factors in the genomes of members of the family Anelloviridae. Arch Virol 2021; 166:461-474. [PMID: 33392821 PMCID: PMC7779081 DOI: 10.1007/s00705-020-04890-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/02/2020] [Indexed: 01/31/2023]
Abstract
The present study was carried out on 62 genome sequences of members of the family Anelloviridae, as there have been no reports of genome analysis of these DNA viruses using a bioinformatics approach. The genes were found to be rich in AC content with low codon usage bias (CUB). Relative synonymous codon usage (RSCU) values identified the preferred codons for each amino acid in the family. The codon AGA was overrepresented, while the codons TCG, TTG, CGG, CGT, ACG, GCG and GAT were underrepresented in all of the genomes. A significant correlation was found between the effective number of codons (ENC) and base constraints, indicating that compositional properties might have influenced the CUB. A highly significant correlation was observed between the overall base content and the base content at the third codon position, indicating that mutations might have affected the CUB. A highly significant positive correlation was observed between GC12 and GC3 (r = 0.904, p < 0.01), which indicated that directional mutation pressure influenced all three codon positions. A neutrality plot revealed that the contribution of mutation and natural selection in determining the CUB was 58.6% and 41.4%, respectively.
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Affiliation(s)
- Bornali Deb
- Department of Biotechnology, Assam University, Silchar, Assam 788150 India
| | - Arif Uddin
- Department of Zoology, Moinul Hoque Choudhury Memorial Science College, Algapur, Hailakandi, Assam 788150 India
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9
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A Crosstalk on Codon Usage in Genes Associated with Leukemia. Biochem Genet 2020; 59:235-255. [PMID: 32989646 DOI: 10.1007/s10528-020-10000-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
Leukemia is the outcome of aggregation of damaged white blood cells. Several genes were reported to be associated with the pathogenesis of leukemia. These genes were computationally analyzed to decipher their codon usage bias (CUB) and to identify the prime factors influencing the codon usage profile as no work was reported yet. The mean values of synonymous codon usage order (SCUO) parameter indicated low CUB of the genes. Significant positive association of SCUO with overall GC and positional GCs might signal the presence of mutational pressure. However, neutrality plot suggested the dominant role of natural selection across the genes. Along with natural selection, the role of mutation pressure was also prominent and that might be responsible for lower CUB (SCUO = 0.19) of genes. Low translational speed might permit accuracy in the process. A strong inverse relationship of translational rate was observed with CUB of genes and folding energy.
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10
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Das D, Deb B, Malakar AK, Chakraborty S. Allele frequency analysis of GALC gene causing Krabbe disease in human and its codon usage. Gene 2020; 747:144673. [PMID: 32304783 DOI: 10.1016/j.gene.2020.144673] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/05/2020] [Accepted: 04/14/2020] [Indexed: 10/24/2022]
Abstract
Krabbe disease is one of the rarest autosomal recessive disorders in human, caused by mutation in the GALC (β-galactosylceramidase) gene, resulting in several mental and physical health issues. Due to its rarity and phenotypic heterogeneity, diagnosis rate of this disease is very low. This study generated information on the recessive allele frequency dynamics of GALC gene across 15 global populations, with the highest frequency detected in Druze (Israel) population and the lowest frequency in Turkey and the United States. The recessive allele would take more time period (about 24,975 years) to be completely removed from the population having the lowest frequency and vice versa. The codon usage patterns of four isoforms of GALC gene revealed that a few synonymous codons were used more frequently than others in the isoforms. The codon AGA (arginine) was found to be overrepresented in GALC gene, except for galactocerebrosidase isoform a precursor. Further, GALC gene showed low codon usage bias (CUB) as evident from high ENC values (55.7-58.2), with A/T ending codons more preferred to G/C ending codons. CUB analysis elucidated the dual role of mutational pressure (major role) and natural selection (minor role) in GALC gene evolution.
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Affiliation(s)
- Debaroti Das
- Department of Biotechnology, Assam University, Silchar 788011, Assam, India
| | - Bornali Deb
- Department of Biotechnology, Assam University, Silchar 788011, Assam, India
| | - Arup Kumar Malakar
- Department of Biotechnology, Assam University, Silchar 788011, Assam, India
| | - Supriyo Chakraborty
- Department of Biotechnology, Assam University, Silchar 788011, Assam, India.
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11
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Chakraborty S, Barbhuiya PA, Paul S, Uddin A, Choudhury Y, Ahn Y, Cho YS. Codon usage trend in genes associated with obesity. Biotechnol Lett 2020; 42:1865-1875. [PMID: 32488444 DOI: 10.1007/s10529-020-02931-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 05/29/2020] [Indexed: 11/29/2022]
Abstract
Obesity is not only a social menace but also an economic burden as it reduces productivity and increases health care cost. We used bioinformatic tools to analyze the CUB of obesity associated genes and compared with housekeeping genes (control) to explore the similarities and differences between two data sets as no work was reported yet. The mean effective number of codons (ENC) in genes associated with obesity and housekeeping gene was 50.45 and 52.03 respectively, indicating low CUB. The relative synonymous codon usage (RSCU) suggested that codons namely CTG and GTG were over-represented in both obesity and housekeeping genes while under-represented codons were TCG, TTA, CTA, CCG, CAA, CGT, ATA, ACG, GTA and GCG in obesity genes and TCG, TTA, CCG, ATA, ACG, GTA, and GCG in housekeeping genes. t test analysis suggested that 11 codons namely TTA (Leu), TTG (Leu), CCG (Pro), CAC (His), CAA (Gln), CAG (Gln), CGT (Arg), AGA (Arg), ATA (Ile), ATT (Ile) and GCG (Ala) were significantly differed (p < 0.05 or p < 0.01) between obesity and housekeeping genes. Highly significant correlation was observed between GC12 and GC3 in obesity and housekeeping genes i.e. r = 0.580** and r = 0.498** (p < 0.01) respectively indicating the effect of directional mutation pressure present in all codon positions.
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Affiliation(s)
- Supriyo Chakraborty
- Department of Biotechnology, Assam University, Silchar, Assam, 788011, India.
| | - Parvin A Barbhuiya
- Department of Biotechnology, Assam University, Silchar, Assam, 788011, India
| | - Sunanda Paul
- Department of Biotechnology, Assam University, Silchar, Assam, 788011, India
| | - Arif Uddin
- Department of Biotechnology, Assam University, Silchar, Assam, 788011, India
| | - Yashmin Choudhury
- Department of Biotechnology, Assam University, Silchar, Assam, 788011, India
| | - Yeongseon Ahn
- Department of Biomedical Science, Hallym University, Hallymdachak-gil, Chuncheon, 24252, Gangwon-do, Korea
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Hallymdachak-gil, Chuncheon, 24252, Gangwon-do, Korea.
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12
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Yao Z, Di Poto C, Mavodza G, Oliver E, Ressom HW, Sherif ZA. DNA Methylation Activates TP73 Expression in Hepatocellular Carcinoma and Gastrointestinal Cancer. Sci Rep 2019; 9:19367. [PMID: 31852961 PMCID: PMC6920427 DOI: 10.1038/s41598-019-55945-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/20/2019] [Indexed: 02/06/2023] Open
Abstract
The complexity of TP73 expression and its functionality, as well as the role of TP73 in tumorigenesis, unlike its cousin TP53, which is an established tumor suppressor, have remained elusive to date. In this study, we isolated two stem cell lines (HepCY & HepCO) from normal young and old human liver tissues. We determined TP73 expression in HepCY and HepCO, hepatocellular cancer (HCC) cell lines (HepG2, SNU398, SNU449 and SNU475), gastrointestinal cancer (GI) cell lines (Caco2 and HCT116) and normal skin fibroblasts cell line (HS27). Immunohistochemical analyses of TP73 expression was also performed in non-cancerous and adjacent cancerous liver tissues of HCC patients. The results show that TP73 expression is exclusive to the cancer cell lines and not the adjacent normal liver tissues. Moreover, methylation-specific PCR and bisulfite sequencing studies revealed that TP73 promoter is activated only in cancer cell lines by DNA methylation. Furthermore, ChIP assay results demonstrated that a chromosomal networking protein (CTCF) and tumor protein p53 (TP53) bind to TP73 promoter and regulate TP73 expression. Our observations demonstrate that a positive correlation in tumorigenesis exists between TP73 expression and DNA methylation in promoter regions of TP73. These findings may prove significant for the development of future diagnostic and therapeutic applications.
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Affiliation(s)
- Zhixing Yao
- Department of Biochemistry & Molecular Biology, College of Medicine, Howard University, Washington, DC, 20059, USA
| | - Cristina Di Poto
- Department of Oncology, Lombardi Cancer Center, Georgetown University, Washington, DC, 20007, USA
| | - Grace Mavodza
- Department of Biochemistry & Molecular Biology, College of Medicine, Howard University, Washington, DC, 20059, USA.,Department of Pharmacology, Hershey College of Medicine, Pennsylvania State University, Pennsylvania, PA, 17033, USA
| | - Everett Oliver
- Department of Biochemistry & Molecular Biology, College of Medicine, Howard University, Washington, DC, 20059, USA.,Department of Oncology, Lombardi Cancer Center, Georgetown University, Washington, DC, 20007, USA
| | - Habtom W Ressom
- Department of Oncology, Lombardi Cancer Center, Georgetown University, Washington, DC, 20007, USA
| | - Zaki A Sherif
- Department of Biochemistry & Molecular Biology, College of Medicine, Howard University, Washington, DC, 20059, USA.
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13
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Mazumder TH, Uddin A, Chakraborty S. Insights into the nucleotide composition and codon usage pattern of human tumor suppressor genes. Mol Carcinog 2019; 59:15-23. [PMID: 31583785 DOI: 10.1002/mc.23124] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 09/05/2019] [Accepted: 09/21/2019] [Indexed: 01/21/2023]
Abstract
Tumor suppressor genes encode different proteins that inhibit the uncontrolled proliferation of cell growth and tumor development. To acquire clues for predicting gene expression level, it is essential to understand the codon usage bias (CUB) of genes to characterize genome which possesses its own compositional characteristics and unique coding sequences. We used bioinformatic tools to analyze the codon usage patterns of 637 human tumor suppressor genes as no work was reported earlier. The mean effective number of codons of these genes was 48, indicating low CUB. Our results exhibited a significant positive correlation among different nucleotide compositions and the codons ending with C base was most frequently used along with the most over-represented codon CTG and GTG codifying leucine and valine amino acid, respectively, in human tumor suppressor genes. The neutrality plot showed a significant positive correlation (Pearson, r = 0. 646; P < .01) suggesting that mutation on GC bias might affect the CUB. However, the linear regression coefficient of GC12 on GC3 in human tumor suppressor genes suggested that natural selection played a major role while mutation pressure played a minor role in the codon usage patterns of tumor suppressor genes in human. Our study would throw light into the factors that affect CUB and the codon usage patterns in the human tumor suppressor genes.
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Affiliation(s)
| | - Arif Uddin
- Department of Zoology, Moinul Hoque Choudhury Memorial Science College, Hailakandi, Assam, India
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Khandia R, Singhal S, Kumar U, Ansari A, Tiwari R, Dhama K, Das J, Munjal A, Singh RK. Analysis of Nipah Virus Codon Usage and Adaptation to Hosts. Front Microbiol 2019; 10:886. [PMID: 31156564 PMCID: PMC6530375 DOI: 10.3389/fmicb.2019.00886] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 04/05/2019] [Indexed: 12/19/2022] Open
Abstract
A recent outbreak of Nipah virus (NiV) in India has caused 17 deaths in people living in districts of Kerala state. Its zoonotic nature, as well as high rate of human-to-human transmission, has led researchers worldwide to work toward understanding the different aspects of the NiV. We performed a codon usage analysis, based on publicly available nucleotide sequences of NiV and its host adaptation, along with other members of the Henipavirus genus in ten hosts. NiV genome encodes nine open reading frames; and overall, no significant bias in codon usage was observed. Aromaticity of proteins had no impact on codon usage. An analysis of preferred codons used by NiV and the tRNA pool in human cells indicated that NiV prefers codons from a suboptimal anticodon tRNA pool. We observed that codon usage by NiV is mainly constrained by compositional and selection pressures, not by mutational forces. Parameters that define NiV and host relatedness in terms of codon usage were analyzed, with a codon adaptation index (CAI), relative codon deoptimization index (RCDI), and similarity index calculations; which indicated that, of all hosts analyzed, NiV was best adapted to African green monkeys. A comparative analysis based on the relative codon deoptimization index (RCDI) for host adaptation of NiV, Hendra virus (HeV), Cedar virus (CedV), and Hendra like Mojiang virus (MojV) revealed that except for dogs and ferrets, all evaluated hosts were more susceptible to HeV than NiV.
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Affiliation(s)
- Rekha Khandia
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India
| | - Shailja Singhal
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India
| | - Utsang Kumar
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India
| | - Afzal Ansari
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Ruchi Tiwari
- Department of Veterinary Microbiology and Immunology, College of Veterinary Uttar Pradesh Pandit Deen Dayal Upadhyaya Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go Anusandhan Sansthan (DUVASU), Mathura, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Jayashankar Das
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Ashok Munjal
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India
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