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Time-Series Trend of Pandemic SARS-CoV-2 Variants Visualized Using Batch-Learning Self-Organizing Map for Oligonucleotide Compositions Cover

Time-Series Trend of Pandemic SARS-CoV-2 Variants Visualized Using Batch-Learning Self-Organizing Map for Oligonucleotide Compositions

Open Access
|Sep 2021

References

  1. Abe, T, Akazawa, Y, Toyoda, A, Niki, H and Baba, T. 2020. Batch-Learning Self-Organizing Map Identifies Horizontal Gene Transfer Candidates and Their Origins in Entire Genomes. Frontiers in microbiology, 11: 1486. DOI: 10.3389/fmicb.2020.01486
  2. Abe, T, Kanaya, S, Kinouchi, M, Ichiba, Y, Kozuki, T and Ikemura, T. 2003. Informatics for unveiling hidden genome signatures. Genome research, 13: 693702. DOI: 10.1101/gr.634603
  3. Benvenuto, D, Giovanetti, M, Salemi, M, Prosperi, M, De Flora, C, Junior Alcantara, LC, Angeletti, S and Ciccozzi, M. 2020. The global spread of 2019-nCoV: a molecular evolutionary analysis. Pathogens and global health, 114: 6467. DOI: 10.1080/20477724.2020.1725339
  4. Elbe, S and Buckland-Merrett, G. 2017. Data, disease and diplomacy: GISAID’s innovative contribution to global health. Global challenges (Hoboken, NJ), 1: 3346. DOI: 10.1002/gch2.1018
  5. Gorbalenya, AE, Baker, SC, Baric, RS, de Groot, RJ, Drosten, C, Gulyaeva, AA, Haagmans, BL, Lauber, C, Leontovich, AM, Neuman, BW, et al. 2020. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nature microbiology, 5: 536544. DOI: 10.1038/s41564-020-0695-z
  6. Hadfield, J, Megill, C, Bell, SM, Huddleston, J, Potter, B, Callender, C, Sagulenko, P, Bedford, T and Neher, RA. 2018. Nextstrain: real-time tracking of pathogen evolution. Bioinformatics (Oxford, England), 34: 41214123. DOI: 10.1093/bioinformatics/bty407
  7. Han, AX, Parker, E, Scholer, F, Maurer-Stroh, S and Russell, CA. 2019. Phylogenetic Clustering by Linear Integer Programming (PhyCLIP). Molecular Biology and Evolution, 36: 15801595. DOI: 10.1093/molbev/msz053
  8. Hu, B, Guo, H, Zhou, P and Shi, ZL. 2021. Characteristics of SARS-CoV-2 and COVID-19. Nature reviews Microbiology, 19: 141154. DOI: 10.1038/s41579-020-00459-7
  9. Ikemura, T, Iwasaki, Y, Wada, K, Wada, Y and Abe, T. 2021. AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome. Genes Genet Syst. (in press). DOI: 10.1101/2021.05.23.445371
  10. Ikemura, T, Wada, K, Wada, Y, Iwasaki, Y and Abe, T. 2020. Unsupervised explainable AI for simultaneous molecular evolutionary study of forty thousand SARS-CoV-2 genomes. bioRxiv. DOI: 10.1101/2020.10.11.335406
  11. Iwasaki, Y, Abe, T and Ikemura, T. 2021. Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes. BMC Microbiol, 21: 89. DDOI: 10.1186/s12866-021-02158-6
  12. Iwasaki, Y, Abe, T, Wada, K, Itoh, M and Ikemura, T. 2011. Prediction of directional changes of influenza A virus genome sequences with emphasis on pandemic H1N1/09 as a model case. DNA research, 18: 125136. DOI: 10.1093/dnares/dsr005
  13. Iwasaki, Y, Abe, T, Wada, Y, Wada, K and Ikemura, T. 2013. Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance of potentially hazardous strains. BMC infectious diseases, 13: 386. DOI: 10.1186/1471-2334-13-386
  14. Kanaya, S, Kinouchi, M, Abe, T, Kudo, Y, Yamada, Y, Nishi, T, Mori, H and Ikemura, T. 2001. Analysis of codon usage diversity of bacterial genes with a self-organizing map (SOM): characterization of horizontally transferred genes with emphasis on the E. coli O157 genome. Gene, 276: 8999. DOI: 10.1016/S0378-1119(01)00673-4
  15. Karlin, S, Campbell, AM and Mrazek, J. 1998. Comparative DNA analysis across diverse genomes. Annual review of genetics, 32: 185225. DOI: 10.1146/annurev.genet.32.1.185
  16. Kirby, T. 2021. New variant of SARS-CoV-2 in UK causes surge of COVID-19. The Lancet Respiratory medicine, 9: e20e21. DOI: 10.1016/S2213-2600(21)00005-9
  17. Kohonen, T. 1990. The self-organizing map. Proceedings of the IEEE, 78: 14641480. DOI: 10.1109/5.58325
  18. Kohonen, T, Oja, E, Simula, O, Visa, A and Kangas, J. 1996. Engineering applications of the self-organizing map. Proceedings of the IEEE, 84: 13581384. DOI: 10.1109/5.537105
  19. Kumar, S, Stecher, G, Li, M, Knyaz, C and Tamura, K. 2018. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol Biol Evol, 35: 15471549. DOI: 10.1093/molbev/msy096
  20. Mangeat, B, Turelli, P, Caron, G, Friedli, M, Perrin, L and Trono, D. 2003. Broad antiretroviral defence by human APOBEC3G through lethal editing of nascent reverse transcripts. Nature, 424: 99103. DOI: 10.1038/nature01709
  21. Mercatelli, D and Giorgi, FM. 2020. Geographic and Genomic Distribution of SARS-CoV-2 Mutations. Frontiers in microbiology, 11: 1800. DOI: 10.3389/fmicb.2020.01800
  22. Qiu, Y, Abe, T, Nakao, R, Satoh, K and Sugimoto, C. 2019. Viral population analysis of the taiga tick, Ixodes persulcatus, by using Batch Learning Self-Organizing Maps and BLAST search. The Journal of veterinary medical science, 81: 401410. DOI: 10.1292/jvms.18-0483
  23. Simmonds, P. 2020. Rampant C→U Hypermutation in the Genomes of SARS-CoV-2 and Other Coronaviruses: Causes and Consequences for Their Short- and Long-Term Evolutionary Trajectories. mSphere, 5. DOI: 10.1128/mSphere.00408-20
  24. Sun, J, He, WT, Wang, L, Lai, A, Ji, X, Zhai, X, Li, G, Suchard, MA, Tian, J, Zhou, J, et al. 2020. COVID-19: Epidemiology, Evolution, and Cross-Disciplinary Perspectives. Trends in molecular medicine, 26: 483495. DOI: 10.1016/j.molmed.2020.02.008
  25. Tang, X, Wu, C, Li, X, Song, Y, Yao, X, Wu, X, Duan, Y, Zhang, H, Wang, Y, Qian, Z, et al. 2020. On the origin and continuing evolution of SARS-CoV-2. National Science Review, 7: 10121023. DOI: 10.1093/nsr/nwaa036
  26. Wada, K, Wada, Y and Ikemura, T. 2020. Time-series analyses of directional sequence changes in SARS-CoV-2 genomes and an efficient search method for candidates for advantageous mutations for growth in human cells. Gene: X, 5: 100038. DOI: 10.1016/j.gene.2020.100038
  27. Wang, R, Chen, J, Gao, K, Hozumi, Y, Yin, C and Wei, GW. 2021. Analysis of SARS-CoV-2 mutations in the United States suggests presence of four substrains and novel variants. Communications biology, 4: 228. DOI: 10.1038/s42003-021-01754-6
  28. World Health Organization. 2020. Coronavirus Disease (COVID-2019). Situation Reports. URL: https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
Language: English
Submitted on: Mar 23, 2021
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Accepted on: Sep 10, 2021
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Published on: Sep 21, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Takashi Abe, Ryuki Furukawa, Yuki Iwasaki, Toshimichi Ikemura, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.