SARS-CoV-2 Conservation Track Hub

Description


These tracks provide information about conservation in the Sarbecovirus subgenus to aid in classification of single nucleotide variants (SNVs) in SARS-CoV-2, based on the fact that potential variants that have been excluded by purifying selection during the evolution of the subgenus are more likely to have a functional phenotypic effect in the current population [1]. There are four tracks:

Methods

Credits


Questions should be directed to Irwin Jungreis.


In this resource, we have augmented variant data made available by UCSC with our own annotations. UCSC data came from nextstrain.org [2], which was derived from genome sequences deposited in GISAID [6]. Right of use and publication of the underlying sequences is entirely controlled by the authors of the original resource and the contributors of individual sequences, who are acknowledged in the nextstrain metadata file included with the supplemental materials of [1]. Our analysis provides an additional layer of annotation on their work rather than replicating or replacing it.


Original data usage policy as provided by UCSC:

The data presented here is intended to rapidly disseminate analysis of important pathogens. Unpublished data is included with permission of the data generators, and does not impact their right to publish. Please contact the respective authors (available via the Nextstrain metadata.tsv file) if you intend to carry out further research using their data. Derived data, such as phylogenies, can be downloaded from nextstrain.org (see "DOWNLOAD DATA" link at bottom of page) - please contact the relevant authors where appropriate.


Citing the SARS-CoV-2 Conservation Track Hub


If you use the SARS-CoV-2 Conservation tracks, please cite Jungreis et al. 2021 [1].


References


[1] Jungreis I, Sealfon R, Kellis M (2021). SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes. Nature Communications 12(1), 1-20. doi:10.1038/s41467-021-22905-7


[2] Hadfield J, Megill C, Bell SM, Huddleston J, Potter B, Callender C, Sagulenko P, Bedford T, Neher RA. (2018). Nextstrain: real-time tracking of pathogen evolution. Bioinformatics 34: 4121–4123 doi:10.1093/bioinformatics/bty407


[3] Sealfon RS, Lin MF, Jungreis I, Wolf MY, Kellis M, Sabeti PC (2015). FRESCo: finding regions of excess synonymous constraint in diverse viruses. Genome Biol. 16(1): 38. doi:10.1186/s13059-015-0603-7


[4] Jungreis I, Lin MF, Chan CS, Kellis M (2016). CodAlignView: The Codon Alignment Viewer [Internet]. Available from: http://data.broadinstitute.org/compbio1/cav.php


[5] Jungreis, I., Nelson, C. W., Ardern, Z., Finkel, Y., Krogan, N. J., Sato, K., ... & Kellis, M. (2021). Conflicting and ambiguous names of overlapping ORFs in the SARS-CoV-2 genome: A homology-based resolution. Virology 558, 145-151. doi.org/10.1016/j.virol.2021.02.013


[6] Elbe S, Buckland-Merrett G (2017). Data, disease and diplomacy: GISAID’s innovative contribution to global health. Glob Chall 1: 33–46. doi:10.1002/gch2.1018