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Liu Y, Xu W, Yang P, Liu X. Revealing Molecular Patterns of Alzheimer's Disease Risk Gene Expression Signatures in COVID-19 Brains. J Alzheimers Dis 2024:JAD240609. [PMID: 39058446 DOI: 10.3233/jad-240609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
Background Various virus infections are known to predispose to Alzheimer's disease (AD), and a linkage between COVID-19 and AD has been established. COVID-19 infection modulates the gene expression of the genes implicated in progression of AD. Objective Determination of molecular patterns and codon usage and context analysis for the genes that are modulated during COVID-19 infection and are implicated in AD was the target of the study. Methods Our study employed a comprehensive array of research methods, including relative synonymous codon usage, Codon adaptation index analysis, Neutrality and parity analysis, Rare codon analyses, and codon context analysis. This meticulous approach was crucial in determining the molecular patterns present in genes up or downregulated during COVID-19 infection. Results G/C ending codons were preferred in upregulated genes while not in downregulated genes, and in both gene sets, longer genes have high expressivity. Similarly, T over A nucleotide was preferred, and selection was the major evolutionary force in shaping codon usage in both gene sets. Apart from stops codons, codons CGU - Arg, AUA - Ile, UUA - Leu, UCG - Ser, GUA - Val, and CGA - Arg in upregulated genes, while CUA - Leu, UCG - Ser, and UUA - Leu in downregulated genes were present below the 0.5%. Glutamine-initiated codon pairs have high residual values in upregulated genes. Identical codon pairs GAG-GAG and GUG-GUG were preferred in both gene sets. Conclusions The shared and unique molecular features in the up- and downregulated gene sets provide insights into the complex interplay between COVID-19 infection and AD. Further studies are required to elucidate the relationship of these molecular patterns with AD pathology.
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Affiliation(s)
- Yan Liu
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China
| | - Weiyue Xu
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China
| | - Pan Yang
- TEDA institute of Biological Science and Biotechnology, Nankai University, TEDA, Tianjin, China
| | - Xingshun Liu
- Department of Biochemistry and Molecular Biology, Shanxi Medical University, Taiyuan, Shanxi Province, China
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Khandia R, Pandey MK, Garg R, Khan AA, Baklanov I, Alanazi AM, Nepali P, Gurjar P, Choudhary OP. Molecular insights into codon usage analysis of mitochondrial fission and fusion gene: relevance to neurodegenerative diseases. Ann Med Surg (Lond) 2024; 86:1416-1425. [PMID: 38463054 PMCID: PMC10923317 DOI: 10.1097/ms9.0000000000001725] [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: 09/14/2023] [Accepted: 01/05/2024] [Indexed: 03/12/2024] Open
Abstract
Mitochondrial dysfunction is the leading cause of neurodegenerative disorders like Alzheimer's disease and Parkinson's disease. Mitochondria is a highly dynamic organelle continuously undergoing the process of fission and fusion for even distribution of components and maintaining proper shape, number, and bioenergetic functionality. A set of genes governs the process of fission and fusion. OPA1, Mfn1, and Mfn2 govern fusion, while Drp1, Fis1, MIEF1, and MIEF2 genes control fission. Determination of specific molecular patterns of transcripts of these genes revealed the impact of compositional constraints on selecting optimal codons. AGA and CCA codons were over-represented, and CCC, GTC, TTC, GGG, ACG were under-represented in the fusion gene set. In contrast, CTG was over-represented, and GCG, CCG, and TCG were under-represented in the fission gene set. Hydropathicity analysis revealed non-polar protein products of both fission and fusion gene set transcripts. AGA codon repeats are an integral part of translational regulation machinery and present a distinct pattern of over-representation and under-representation in different transcripts within the gene sets, suggestive of selective translational force precisely controlling the occurrence of the codon. Out of six synonymous codons, five synonymous codons encoding for leucine were used differently in both gene sets. Hence, forces regulating the occurrence of AGA and five synonymous leucine-encoding codons suggest translational selection. A correlation of mutational bias with gene expression and codon bias and GRAVY and AROMA signifies the selection pressure in both gene sets, while the correlation of compositional bias with gene expression, codon bias, protein properties, and minimum free energy signifies the presence of compositional constraints. More than 25% of codons of both gene sets showed a significant difference in codon usage. The overall analysis shed light on molecular features of gene sets involved in fission and fusion.
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Affiliation(s)
| | - Megha Katare Pandey
- Translational Medicine Center, All India Institute of Medical Sciences, Bhopal
| | | | - Azmat Ali Khan
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Igor Baklanov
- Department of Philosophy, North Caucasus Federal University, Stavropol, Russia
| | - Amer M. Alanazi
- Pharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Prakash Nepali
- Government Medical Officer, Bhimad Primary Health Care Center, Government of Nepal, Tanahun, Nepal
| | - Pankaj Gurjar
- Centre for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, Australia
| | - Om Prakash Choudhary
- Department of Veterinary Anatomy, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University (GADVASU), Rampura Phul, Bathinda, Punjab, India
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Khandia R, Gurjar P, Romashchenko V, Al-Hussain SA, Alexiou A, Zouganelis G, Zaki MEA. In-silico Codon Context and Synonymous Usage Analysis of Genes for Molecular Mechanisms Inducing Autophagy and Apoptosis with Reference to Neurodegenerative Disorders. J Alzheimers Dis 2024; 99:927-939. [PMID: 38728191 DOI: 10.3233/jad-240158] [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] [Indexed: 05/12/2024]
Abstract
Background Autophagy and apoptosis are cellular processes that maintain cellular homeostasis and remove damaged or aged organelles or aggregated and misfolded proteins. Stress factors initiate the signaling pathways common to autophagy and apoptosis. An imbalance in the autophagy and apoptosis, led by cascade of molecular mechanism prior to both processes culminate into neurodegeneration. Objective In present study, we urge to investigate the codon usage pattern of genes which are common before initiating autophagy and apoptosis. Methods In the present study, we took up eleven genes (DAPK1, BECN1, PIK3C3 (VPS34), BCL2, MAPK8, BNIP3 L (NIX), PMAIP1, BAD, BID, BBC3, MCL1) that are part of molecular signaling mechanism prior to autophagy and apoptosis. We analyzed dinucleotide odds ratio, codon bias, usage, context, and rare codon analysis. Results CpC and GpG dinucleotides were abundant, with the dominance of G/C ending codons as preferred codons. Clustering analysis revealed that MAPK8 had a distinct codon usage pattern compared to other envisaged genes. Both positive and negative contexts were observed, and GAG-GAG followed by CTG-GCC was the most abundant codon pair. Of the six synonymous arginine codons, two codons CGT and CGA were the rarest. Conclusions The information presented in the study may be used to manipulate the process of autophagy and apoptosis and to check the pathophysiology associated with their dysregulation.
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Affiliation(s)
- Rekha Khandia
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India
| | - Pankaj Gurjar
- Centre for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
- Department of Science and Engineering, Novel Global Community Educational Foundation, NSW, Australia
| | | | - Sami A Al-Hussain
- Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Athanasios Alexiou
- Department of Science and Engineering, Novel Global Community Educational Foundation, NSW, Australia
- University Centre for Research & Development, Chandigarh University, Chandigarh-Ludhiana Highway, Mohali, Punjab, India
- Department of Research & Development, Funogen, Athens, Greece
- Department of Research & Development, AFNP Med, Wienna, Austria
| | - George Zouganelis
- School of Human Sciences, College of Life and Natural Sciences, University of Derby, Kedleston Road, Derby, UK
| | - Magdi E A Zaki
- Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
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Qin L, Ding S, He Z. Compositional biases and evolution of the largest plant RNA virus order Patatavirales. Int J Biol Macromol 2023; 240:124403. [PMID: 37076075 DOI: 10.1016/j.ijbiomac.2023.124403] [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: 11/24/2022] [Revised: 03/13/2023] [Accepted: 03/25/2023] [Indexed: 04/21/2023]
Abstract
Patatavirales is the largest order of plant RNA viruses and exclusively contains the family Potyviridae, accounting for 30 % of all known plant viruses. The composition bias of animal RNA viruses and several plant RNA viruses has been determined. However, the comprehensive nucleic acid composition, codon pair usage patterns, dinucleotide preference and codon pair preference of plant RNA viruses have not been investigated to date. In this study, integrated analysis and discussion of the nucleic acid composition, codon usage patterns, dinucleotide composition and codon pair bias of potyvirids were performed using 3732 complete genome coding sequences. The nucleic acid composition of potyvirids was significantly enriched in A/U. Interestingly, the A/U-rich nucleotide composition of Patatavirales is essential for determining the preferred A-ended and U-ended codons and the overexpression of UpG and CpA dinucleotides. The codon usage patterns and codon pair bias of potyvirids were significantly correlated with their nucleic acid composition. Additionally, the codon usage pattern, dinucleotide composition and codon-pair bias of potyvirids are more dependent on the classification of the virus compared with their hosts. Our analysis provides a better understanding of future research on the origin and evolution patterns of the order Patatavirales.
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Affiliation(s)
- Lang Qin
- College of Plant Protection, Yangzhou University, Wenhui East Road No.48, Yangzhou 225009, Jiangsu Province, PR China
| | - Shiwen Ding
- College of Plant Protection, Yangzhou University, Wenhui East Road No.48, Yangzhou 225009, Jiangsu Province, PR China
| | - Zhen He
- College of Plant Protection, Yangzhou University, Wenhui East Road No.48, Yangzhou 225009, Jiangsu Province, PR China.
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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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6
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Bias at the third nucleotide of codon pairs in virus and host genomes. Sci Rep 2022; 12:4522. [PMID: 35296743 PMCID: PMC8927144 DOI: 10.1038/s41598-022-08570-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 03/09/2022] [Indexed: 11/29/2022] Open
Abstract
Genomes of different sizes and complexity can be compared using common features. Most genomes contain open reading frames, and most genomes use the same genetic code. Redundancy in the genetic code means that different biases in the third nucleotide position of a codon exist in different genomes. However, the nucleotide composition of viruses can be quite different from host nucleotide composition making it difficult to assess the relevance of these biases. Here we show that grouping codons of a codon-pair according to the GC content of the first two nucleotide positions of each codon reveals patterns in nucleotide usage at the third position of the 1st codon. Differences between the observed and expected biases occur predominantly when the first two nucleotides of the 2nd codon are both S (strong, G or C) or both W (weak, A or T), not a mixture of strong and weak. The data indicates that some codon pairs are preferred because of the strength of the interactions between the codon and anticodon, the adjacent tRNAs and the ribosome. Using base-pairing strength and third position bias facilitates the comparison of genomes of different size and nucleotide composition and reveals patterns not previously described.
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Mctavish EJ, Sánchez-Reyes LL, Holder MT. OpenTree: A Python Package for Accessing and Analyzing Data from the Open Tree of Life. Syst Biol 2021; 70:1295-1301. [PMID: 33970279 PMCID: PMC8513759 DOI: 10.1093/sysbio/syab033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 04/27/2021] [Accepted: 05/03/2021] [Indexed: 11/14/2022] Open
Abstract
The Open Tree of Life project constructs a comprehensive, dynamic, and digitally available tree of life by synthesizing published phylogenetic trees along with taxonomic data. Open Tree of Life provides web-service application programming interfaces (APIs) to make the tree estimate, unified taxonomy, and input phylogenetic data available to anyone. Here, we describe the Python package opentree, which provides a user friendly Python wrapper for these APIs and a set of scripts and tutorials for straightforward downstream data analyses. We demonstrate the utility of these tools by generating an estimate of the phylogenetic relationships of all bird families, and by capturing a phylogenetic estimate for all taxa observed at the University of California Merced Vernal Pools and Grassland Reserve.[Evolution; open science; phylogenetics; Python; taxonomy.].
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Affiliation(s)
- Emily Jane Mctavish
- Department of Life and Environmental Sciences, University of California, Merced, CA 95343, USA
| | | | - Mark T Holder
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045, USA
- Biodiversity Institute, University of Kansas, Lawrence, KS 66045, USA
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8
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McKinnon LM, Miller JB, Whiting MF, Kauwe JSK, Ridge PG. A comprehensive analysis of the phylogenetic signal in ramp sequences in 211 vertebrates. Sci Rep 2021; 11:622. [PMID: 33436653 PMCID: PMC7803996 DOI: 10.1038/s41598-020-78803-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 11/23/2020] [Indexed: 01/24/2023] Open
Abstract
Ramp sequences increase translational speed and accuracy when rare, slowly-translated codons are found at the beginnings of genes. Here, the results of the first analysis of ramp sequences in a phylogenetic construct are presented. Ramp sequences were compared from 247 vertebrates (114 Mammalian and 133 non-mammalian), where the presence and absence of ramp sequences was analyzed as a binary character in a parsimony and maximum likelihood framework. Additionally, ramp sequences were mapped to the Open Tree of Life synthetic tree to determine the number of parallelisms and reversals that occurred, and those results were compared to random permutations. Parsimony and maximum likelihood analyses of the presence and absence of ramp sequences recovered phylogenies that are highly congruent with established phylogenies. Additionally, 81% of vertebrate mammalian ramps and 81.2% of other vertebrate ramps had less parallelisms and reversals than the mean from 1000 randomly permuted trees. A chi-square analysis of completely orthologous ramp sequences resulted in a p-value < 0.001 as compared to random chance. Ramp sequences recover comparable phylogenies as other phylogenomic methods. Although not all ramp sequences appear to have a phylogenetic signal, more ramp sequences track speciation than expected by random chance. Therefore, ramp sequences may be used in conjunction with other phylogenomic approaches if many orthologs are taken into account. However, phylogenomic methods utilizing few orthologs should be cautious in incorporating ramp sequences because individual ramp sequences may provide conflicting signals.
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Affiliation(s)
- Lauren M McKinnon
- Department of Biology, Brigham Young University, Provo, UT, 84602, USA
| | - Justin B Miller
- Department of Biology, Brigham Young University, Provo, UT, 84602, USA
| | - Michael F Whiting
- Department of Biology, Brigham Young University, Provo, UT, 84602, USA
- Monte L. Bean Museum, Brigham Young University, Provo, UT, 84602, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT, 84602, USA
| | - Perry G Ridge
- Department of Biology, Brigham Young University, Provo, UT, 84602, USA.
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Hodgman MW, Miller JB, Meurs TE, Kauwe JSK. CUBAP: an interactive web portal for analyzing codon usage biases across populations. Nucleic Acids Res 2020; 48:11030-11039. [PMID: 33045750 PMCID: PMC7641757 DOI: 10.1093/nar/gkaa863] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/18/2020] [Accepted: 09/22/2020] [Indexed: 12/19/2022] Open
Abstract
Synonymous codon usage significantly impacts translational and transcriptional efficiency, gene expression, the secondary structure of both mRNA and proteins, and has been implicated in various diseases. However, population-specific differences in codon usage biases remain largely unexplored. Here, we present a web server, https://cubap.byu.edu, to facilitate analyses of codon usage biases across populations (CUBAP). Using the 1000 Genomes Project, we calculated and visually depict population-specific differences in codon frequencies, codon aversion, identical codon pairing, co-tRNA codon pairing, ramp sequences, and nucleotide composition in 17,634 genes. We found that codon pairing significantly differs between populations in 35.8% of genes, allowing us to successfully predict the place of origin for African and East Asian individuals with 98.8% and 100% accuracy, respectively. We also used CUBAP to identify a significant bias toward decreased CTG pairing in the immunity related GTPase M (IRGM) gene in East Asian and African populations, which may contribute to the decreased association of rs10065172 with Crohn's disease in those populations. CUBAP facilitates in-depth gene-specific and codon-specific visualization that will aid in analyzing candidate genes identified in genome-wide association studies, identifying functional implications of synonymous variants, predicting population-specific impacts of synonymous variants and categorizing genetic biases unique to certain populations.
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Affiliation(s)
- Matthew W Hodgman
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Justin B Miller
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Taylor E Meurs
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - John S K Kauwe
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
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