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10.1371/journal.ppat.1009499 http://scihub22266oqcxt.onion/10.1371/journal.ppat.1009499 33826681!8055005!33826681     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Pathog 2021 ; 17 (4): e1009499 Nephropedia Template TP {{tp|p=33826681|t=2021. Temporal dynamics of SARS-CoV-2 mutation accumulation within and across infected hosts |pdf=|usr=}}{{33826681}} gab.com Text Temporal dynamics of SARS-CoV-2 mutation accumulation within and across infected hosts JO: PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=33826681 #FOAvip Analysis of SARS-CoV-2 genetic diversity within infected hosts can provide insight into the generation and spread of new viral variants and may enable high resolution inference of transmission chains. However, little is known about temporal aspects of SARS-CoV-2 intrahost diversity and the extent to which shared diversity reflects convergent evolution as opposed to transmission linkage. Here we use high depth of coverage sequencing to identify within-host genetic variants in 325 specimens from hospitalized COVID-19 patients and infected employees at a single medical center. We validated our variant calling by sequencing defined RNA mixtures and identified viral load as a critical factor in variant identification. By leveraging clinical metadata, we found that intrahost diversity is low and does not vary by time from symptom onset. This suggests that variants will only rarely rise to appreciable frequency prior to transmission. Although there was generally little shared variation across the sequenced cohort, we identified intrahost variants shared across individuals who were unlikely to be related by transmission. These variants did not precede a rise in frequency in global consensus genomes, suggesting that intrahost variants may have limited utility for predicting future lineages. These results provide important context for sequence-based inference in SARS-CoV-2 evolution and epidemiology. Twit Text FOAVip Temporal dynamics of SARS-CoV-2 mutation accumulation within and across infected hosts ????PLoS Pathog http://www.kidney.de/pget.php?&tw=1&pmid=33826681 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33826681 #FOAvip English Wikipedia <ref>{{Cite pmid|33826681}}</ref> Temporal dynamics of SARS-CoV-2 mutation accumulation within and across infected hosts #MMPMID33826681 Valesano AL; Rumfelt KE; Dimcheff DE; Blair CN; Fitzsimmons WJ; Petrie JG; Martin ET; Lauring AS PLoS Pathog 2021[Apr]; 17 (4): e1009499 PMID33826681show ga Analysis of SARS-CoV-2 genetic diversity within infected hosts can provide insight into the generation and spread of new viral variants and may enable high resolution inference of transmission chains. However, little is known about temporal aspects of SARS-CoV-2 intrahost diversity and the extent to which shared diversity reflects convergent evolution as opposed to transmission linkage. Here we use high depth of coverage sequencing to identify within-host genetic variants in 325 specimens from hospitalized COVID-19 patients and infected employees at a single medical center. We validated our variant calling by sequencing defined RNA mixtures and identified viral load as a critical factor in variant identification. By leveraging clinical metadata, we found that intrahost diversity is low and does not vary by time from symptom onset. This suggests that variants will only rarely rise to appreciable frequency prior to transmission. Although there was generally little shared variation across the sequenced cohort, we identified intrahost variants shared across individuals who were unlikely to be related by transmission. These variants did not precede a rise in frequency in global consensus genomes, suggesting that intrahost variants may have limited utility for predicting future lineages. These results provide important context for sequence-based inference in SARS-CoV-2 evolution and epidemiology. |*Mutation Accumulation[MESH] |Aged[MESH] |Base Sequence[MESH] |COVID-19/metabolism/*virology[MESH] |Female[MESH] |Genetic Variation[MESH] |Genome, Viral[MESH] |Host Microbial Interactions[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Mutation/genetics[MESH] |Phylogeny[MESH] |RNA, Viral/genetics[MESH] |SARS-CoV-2/*genetics[MESH]Temporal dynamics of SARS-CoV-2 mutation accumulation within and acros(epmc).pdf DeepDyve Pubget Overpricing