Nature CommunicationsGenomicsPeer-reviewed journal article
SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes
Abstract
Despite its overwhelming clinical importance, the SARS-CoV-2 gene set remains unresolved, hindering dissection of COVID-19 biology. Here, we use comparative genomics to provide a high-confidence protein-coding gene set, characterize protein-level and nucleotide-level evolutionary constraint, and prioritize functional mutations from the ongoing COVID-19 pandemic. We select 44 complete Sarbecovirus genomes at evolutionary distances ideally-suited for protein-coding and non-coding element identification, create whole-genome alignments, and quantify protein-coding evolutionary signatures and overlapping constraint. We find strong protein-coding signatures for all named genes and for 3a, 6, 7a, 7b, 8, 9b, and also ORF3c, a novel alternate-frame gene. By contrast, ORF10, and overlapping-ORFs 9c, 3b, and 3d lack protein-coding signatures or convincing experimental evidence and are not protein-coding. Furthermore, we show no other protein-coding genes remain to be discovered. Cross-strain and within-strain evolutionary pressures largely agree at the gene, amino-acid, and nucleotide levels, with some notable exceptions, including fewer-than-expected mutations in nsp3 and Spike subunit S1, and more-than-expected mutations in Nucleocapsid. The latter also shows a cluster of amino-acid-changing variants in otherwise-conserved residues in a predicted B-cell epitope, which may indicate positive selection for immune avoidance. Several Spike-protein mutations, including D614G, which has been associated with increased transmission, disrupt otherwise-perfectly-conserved amino acids, and could be novel adaptations to human hosts. The resulting high-confidence gene set and evolutionary-history annotations provide valuable resources and insights on COVID-19 biology, mutations, and evolution.
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 185
- FWCI
- 12.58
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Worldwide tracing of mutations and the evolutionary dynamics of SARS-CoV-2
Z.-Y. Zhou, H. Liu, … Y.-P. Zhang·bioRxiv·Aug 7, 2020
- SARS-CoV-2 amino acid substitutions widely spread in the human population are mainly located in highly conserved segments of the structural proteins
- Temporal evolution and adaptation of SARS-COV 2 codon usage
Elisa Posani, Maddalena Dilucca, … Andrea Giansanti·Frontiers in Bioscience-LandmarkPeer-reviewed·Jan 11, 2022
- Investigating the mutations in the SARS-CoV-2 proteins among European countries
M. Abavisani, K. Rahimian, … Z. Meshkat·bioRxiv·Jun 23, 2022
- Genomic diversity and hotspot mutations in 30,983 SARS-CoV-2 genomes: moving toward a universal vaccine for the "confined virus"?
Tarek Alouane, Meriem Laamarti, … Azeddine Ibrahimi·PathogensPeer-reviewed·Oct 10, 2020
- Global variation in the SARS-CoV-2 proteome reveals the mutational hotspots in the drug and vaccine candidates
L. Ponoop Prasad Patro, Chakkarai Sathyaseelan, … Thenmalarchelvi Rathinavelan·Infection Genetics and EvolutionPeer-reviewed·Jun 18, 2021