Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/gbe/evab087 http://scihub22266oqcxt.onion/10.1093/gbe/evab087 33895815!8135539!33895815     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 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Biol+Evol 2021 ; 13 (5): ä Nephropedia Template TP {{tp|p=33895815|t=2021. Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2 |pdf=|usr=}}{{33895815}} gab.com Text Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2 JO: Genome Biol Evol http://www.kidney.de/pget.php?&tw=1&pmid=33895815 #FOAvip The COVID-19 pandemic has seen an unprecedented response from the sequencing community. Leveraging the sequence data from more than 140,000 SARS-CoV-2 genomes, we study mutation rates and selective pressures affecting the virus. Understanding the processes and effects of mutation and selection has profound implications for the study of viral evolution, for vaccine design, and for the tracking of viral spread. We highlight and address some common genome sequence analysis pitfalls that can lead to inaccurate inference of mutation rates and selection, such as ignoring skews in the genetic code, not accounting for recurrent mutations, and assuming evolutionary equilibrium. We find that two particular mutation rates, G -->U and C -->U, are similarly elevated and considerably higher than all other mutation rates, causing the majority of mutations in the SARS-CoV-2 genome, and are possibly the result of APOBEC and ROS activity. These mutations also tend to occur many times at the same genome positions along the global SARS-CoV-2 phylogeny (i.e., they are very homoplasic). We observe an effect of genomic context on mutation rates, but the effect of the context is overall limited. Although previous studies have suggested selection acting to decrease U content at synonymous sites, we bring forward evidence suggesting the opposite. Twit Text FOAVip Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2 ????Genome Biol Evol http://www.kidney.de/pget.php?&tw=1&pmid=33895815 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33895815 #FOAvip English Wikipedia <ref>{{Cite pmid|33895815}}</ref> Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2 #MMPMID33895815 De Maio N; Walker CR; Turakhia Y; Lanfear R; Corbett-Detig R; Goldman N Genome Biol Evol 2021[May]; 13 (5): ä PMID33895815show ga The COVID-19 pandemic has seen an unprecedented response from the sequencing community. Leveraging the sequence data from more than 140,000 SARS-CoV-2 genomes, we study mutation rates and selective pressures affecting the virus. Understanding the processes and effects of mutation and selection has profound implications for the study of viral evolution, for vaccine design, and for the tracking of viral spread. We highlight and address some common genome sequence analysis pitfalls that can lead to inaccurate inference of mutation rates and selection, such as ignoring skews in the genetic code, not accounting for recurrent mutations, and assuming evolutionary equilibrium. We find that two particular mutation rates, G -->U and C -->U, are similarly elevated and considerably higher than all other mutation rates, causing the majority of mutations in the SARS-CoV-2 genome, and are possibly the result of APOBEC and ROS activity. These mutations also tend to occur many times at the same genome positions along the global SARS-CoV-2 phylogeny (i.e., they are very homoplasic). We observe an effect of genomic context on mutation rates, but the effect of the context is overall limited. Although previous studies have suggested selection acting to decrease U content at synonymous sites, we bring forward evidence suggesting the opposite. |*Mutation Rate[MESH] |*Selection, Genetic[MESH] |COVID-19/virology[MESH] |Evolution, Molecular[MESH] |Genome, Viral[MESH] |Phylogeny[MESH] |RNA, Viral/genetics[MESH] |SARS-CoV-2/classification/*genetics[MESH] |Sequence Analysis, RNA[MESH]Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2 (epmc).pdf DeepDyve Pubget Overpricing