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10.1073/pnas.2012331117 http://scihub22266oqcxt.onion/10.1073/pnas.2012331117 33203681!7733830!33203681     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33203681&cmd=llinks): Failed to open stream: HTTP request failed! 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Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes |pdf=|usr=}}{{33203681}} gab.com Text Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=33203681 #FOAvip Genome-wide epistasis analysis is a powerful tool to infer gene interactions, which can guide drug and vaccine development and lead to deeper understanding of microbial pathogenesis. We have considered all complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes deposited in the Global Initiative on Sharing All Influenza Data (GISAID) repository until four different cutoff dates, and used direct coupling analysis together with an assumption of quasi-linkage equilibrium to infer epistatic contributions to fitness from polymorphic loci. We find eight interactions, of which three are between pairs where one locus lies in gene ORF3a, both loci holding nonsynonymous mutations. We also find interactions between two loci in gene nsp13, both holding nonsynonymous mutations, and four interactions involving one locus holding a synonymous mutation. Altogether, we infer interactions between loci in viral genes ORF3a and nsp2, nsp12, and nsp6, between ORF8 and nsp4, and between loci in genes nsp2, nsp13, and nsp14. The paper opens the prospect to use prominent epistatically linked pairs as a starting point to search for combinatorial weaknesses of recombinant viral pathogens. Twit Text FOAVip Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=33203681 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33203681 #FOAvip English Wikipedia <ref>{{Cite pmid|33203681}}</ref> Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistasis between eight viral genes #MMPMID33203681 Zeng HL; Dichio V; Rodriguez Horta E; Thorell K; Aurell E Proc Natl Acad Sci U S A 2020[Dec]; 117 (49): 31519-31526 PMID33203681show ga Genome-wide epistasis analysis is a powerful tool to infer gene interactions, which can guide drug and vaccine development and lead to deeper understanding of microbial pathogenesis. We have considered all complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes deposited in the Global Initiative on Sharing All Influenza Data (GISAID) repository until four different cutoff dates, and used direct coupling analysis together with an assumption of quasi-linkage equilibrium to infer epistatic contributions to fitness from polymorphic loci. We find eight interactions, of which three are between pairs where one locus lies in gene ORF3a, both loci holding nonsynonymous mutations. We also find interactions between two loci in gene nsp13, both holding nonsynonymous mutations, and four interactions involving one locus holding a synonymous mutation. Altogether, we infer interactions between loci in viral genes ORF3a and nsp2, nsp12, and nsp6, between ORF8 and nsp4, and between loci in genes nsp2, nsp13, and nsp14. The paper opens the prospect to use prominent epistatically linked pairs as a starting point to search for combinatorial weaknesses of recombinant viral pathogens. |COVID-19/pathology[MESH] |Coronavirus Nucleocapsid Proteins/genetics[MESH] |Coronavirus RNA-Dependent RNA Polymerase/genetics[MESH] |Epistasis, Genetic/*genetics[MESH] |Exoribonucleases/genetics[MESH] |Genes, Viral/*genetics[MESH] |Genome, Viral/genetics[MESH] |Humans[MESH] |Methyltransferases/genetics[MESH] |RNA Helicases/genetics[MESH] |SARS-CoV-2/*genetics[MESH] |Selection, Genetic/genetics[MESH] |Viral Nonstructural Proteins/genetics[MESH] |Viral Proteins/genetics[MESH]Global analysis of more than 50,000 SARS-CoV-2 genomes reveals epistas(epmc).pdf DeepDyve Pubget Overpricing