Genomic landscape of the SARS-CoV-2 pandemic in Brazil suggests an external P.1 variant origin

被引:3
作者
Perico, Camila P. [1 ,2 ]
De Pierri, Camilla R. [1 ,3 ]
Neto, Giuseppe Pasqualato [1 ]
Fernandes, Danrley R. [1 ,2 ]
Pedrosa, Fabio O. [2 ,3 ]
de Souza, Emanuel M. [2 ,3 ]
Raittz, Roberto T. [1 ,2 ]
机构
[1] Univ Fed Parana, Lab Artificial Intelligence Appl Bioinformat, Profess & Technol Educ Sect SEPT, Curitiba, Brazil
[2] Univ Fed Parana, Grad Program Bioinformat, Profess & Technol Educ Sect SEPT, Curitiba, Brazil
[3] Univ Fed Parana, Dept Biochem & Mol Biol, Curitiba, Brazil
关键词
genomics and proteomics; big data; SWeeP; machine learning; diversity; virus; MOSAIC STRUCTURE; RECOMBINATION; CORONAVIRUS; EMERGENCE;
D O I
10.3389/fmicb.2022.1037455
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Brazil was the epicenter of worldwide pandemics at the peak of its second wave. The genomic/proteomic perspective of the COVID-19 pandemic in Brazil could provide insights to understand the global pandemics behavior. In this study, we track SARS-CoV-2 molecular information in Brazil using real-time bioinformatics and data science strategies to provide a comparative and evolutive panorama of the lineages in the country. SWeeP vectors represented the Brazilian and worldwide genomic/proteomic data from Global Initiative on Sharing Avian Influenza Data (GISAID) between February 2020 and August 2021. Clusters were analyzed and compared with PANGO lineages. Hierarchical clustering provided phylogenetic and evolutionary analyses of the lineages, and we tracked the P.1 (Gamma) variant origin. The genomic diversity based on Chao's estimation allowed us to compare richness and coverage among Brazilian states and other representative countries. We found that epidemics in Brazil occurred in two moments with different genetic profiles. The P.1 lineages emerged in the second wave, which was more aggressive. We could not trace the origin of P.1 from the variants present in Brazil. Instead, we found evidence pointing to its external source and a possible recombinant event that may relate P.1 to a B.1.1.28 variant subset. We discussed the potential application of the pipeline for emerging variants detection and the PANGO terminology stability over time. The diversity analysis showed that the low coverage and unbalanced sequencing among states in Brazil could have allowed the silent entry and dissemination of P.1 and other dangerous variants. This study may help to understand the development and consequences of variants of concern (VOC) entry.
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页数:18
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共 57 条
[31]   RDP4: Detection and analysis of recombination patterns in virus genomes [J].
Martin, Darren P. ;
Murrell, Ben ;
Golden, Michael ;
Khoosal, Arjun ;
Muhire, Brejnev .
VIRUS EVOLUTION, 2015, 1 (01)
[32]   Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult [J].
Morel, Benoit ;
Barbera, Pierre ;
Czech, Lucas ;
Bettisworth, Ben ;
Huebner, Lukas ;
Lutteropp, Sarah ;
Serdari, Dora ;
Kostaki, Evangelia-Georgia ;
Mamais, Ioannis ;
Kozlov, Alexey M. ;
Pavlidis, Pavlos ;
Paraskevis, Dimitrios ;
Stamatakis, Alexandros .
MOLECULAR BIOLOGY AND EVOLUTION, 2021, 38 (05) :1777-1791
[33]  
Naveca F., 2021, RES SQUARE RES SQUAR, DOI DOI 10.21203/RS.3.RS-275494/V1
[34]   Possible emergence of new geminiviruses by frequent recombination [J].
Padidam, M ;
Sawyer, S ;
Fauquet, CM .
VIROLOGY, 1999, 265 (02) :218-225
[35]   ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R [J].
Paradis, Emmanuel ;
Schliep, Klaus .
BIOINFORMATICS, 2019, 35 (03) :526-528
[36]   SARS-CoV-2 variants combining spike mutations and the absence of ORF8 may be more transmissible and require close monitoring [J].
Pereira, Filipe .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2021, 550 :8-14
[37]   Evaluation of methods for detecting recombination from DNA sequences: Computer simulations [J].
Posada, D ;
Crandall, KA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (24) :13757-13762
[38]   Comparative Genomics Provides Insights into the Taxonomy of Azoarcus and Reveals Separate Origins of Nif Genes in the Proposed Azoarcus and Aromatoleum Genera [J].
Raittz, Roberto Tadeu ;
Reginatto De Pierri, Camilla ;
Maluk, Marta ;
Bueno Batista, Marcelo ;
Carmona, Manuel ;
Junghare, Madan ;
Faoro, Helisson ;
Cruz, Leonardo M. ;
Battistoni, Federico ;
Souza, Emanuel de ;
Pedrosa, Fabio de Oliveira ;
Chen, Wen-Ming ;
Poole, Philip S. ;
Dixon, Ray A. ;
James, Euan K. .
GENES, 2021, 12 (01) :1-21
[39]   A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology [J].
Rambaut, Andrew ;
Holmes, Edward C. ;
O'Toole, Aine ;
Hill, Verity ;
McCrone, John T. ;
Ruis, Christopher ;
du Plessis, Louis ;
Pybus, Oliver G. .
NATURE MICROBIOLOGY, 2020, 5 (11) :1403-1407
[40]   Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study [J].
Randhawa, Gurjit S. ;
Soltysiak, Maximillian P. M. ;
El Roz, Hadi ;
de Souza, Camila P. E. ;
Hill, Kathleen A. ;
Kari, Lila .
PLOS ONE, 2020, 15 (04)