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10.3390/life11020129 http://scihub22266oqcxt.onion/10.3390/life11020129 33562321!7914631!33562321     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Life+(Basel) 2021 ; 11 (2): ä Nephropedia Template TP {{tp|p=33562321|t=2021. Population Genomics Insights into the First Wave of COVID-19 |pdf=|usr=}}{{33562321}} gab.com Text Population Genomics Insights into the First Wave of COVID-19 JO: Life (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33562321 #FOAvip Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms. We used population genetics analyses on human SARS-CoV-2 genomes available on 2 April 2020 to infer the mutation rate and plausible recombination events between the Betacoronavirus genomes in nonhuman hosts that may have contributed to the evolution of SARS-CoV-2. Furthermore, we localized the targets of recent and strong, positive selection during the first pandemic wave. The genomic regions that appear to be under positive selection are largely co-localized with regions in which recombination from nonhuman hosts took place. Our results suggest that the pangolin coronavirus genome may have contributed to the SARS-CoV-2 genome by recombination with the bat coronavirus genome. However, we find evidence for additional recombination events that involve coronavirus genomes from other hosts, i.e., hedgehogs and sparrows. We further infer that recombination may have recently occurred within human hosts. Finally, we estimate the parameters of a demographic scenario involving an exponential growth of the size of the SARS-CoV-2 populations that have infected European, Asian, and Northern American cohorts, and we demonstrate that a rapid exponential growth in population size from the first wave can support the observed polymorphism patterns in SARS-CoV-2 genomes. Twit Text FOAVip Population Genomics Insights into the First Wave of COVID-19 ????Life (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33562321 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33562321 #FOAvip English Wikipedia <ref>{{Cite pmid|33562321}}</ref> Population Genomics Insights into the First Wave of COVID-19 #MMPMID33562321 Vasilarou M; Alachiotis N; Garefalaki J; Beloukas A; Pavlidis P Life (Basel) 2021[Feb]; 11 (2): ä PMID33562321show ga Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms. We used population genetics analyses on human SARS-CoV-2 genomes available on 2 April 2020 to infer the mutation rate and plausible recombination events between the Betacoronavirus genomes in nonhuman hosts that may have contributed to the evolution of SARS-CoV-2. Furthermore, we localized the targets of recent and strong, positive selection during the first pandemic wave. The genomic regions that appear to be under positive selection are largely co-localized with regions in which recombination from nonhuman hosts took place. Our results suggest that the pangolin coronavirus genome may have contributed to the SARS-CoV-2 genome by recombination with the bat coronavirus genome. However, we find evidence for additional recombination events that involve coronavirus genomes from other hosts, i.e., hedgehogs and sparrows. We further infer that recombination may have recently occurred within human hosts. Finally, we estimate the parameters of a demographic scenario involving an exponential growth of the size of the SARS-CoV-2 populations that have infected European, Asian, and Northern American cohorts, and we demonstrate that a rapid exponential growth in population size from the first wave can support the observed polymorphism patterns in SARS-CoV-2 genomes. äPopulation Genomics Insights into the First Wave of COVID-19 (epmc).pdf DeepDyve Pubget Overpricing