Extensive positive selection drives the evolution of nonstructural proteins in lineage C betacoronaviruses

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Abstract

Middle East respiratory syndrome-related coronavirus (MERS-CoV) spreads to humans via zoonotic transmission from camels. MERS-CoV belongs to lineage C of betacoronaviruses (betaCoVs), which also includes viruses isolated from bats and hedgehogs. A large portion of the betaCoV genome consists of two open reading frames (ORF1a and ORF1b) that are translated into polyproteins. These are cleaved by viral proteases to generate 16 nonstructural proteins (nsp1 to nsp16) which compose the viral replication- transcription complex. We investigated the evolution of ORF1a and ORF1b in lineage C betaCoVs. Results indicated widespread positive selection, acting mostly on ORF1a. The proportion of positively selected sites in ORF1a was much higher than that previously reported for the surface-exposed spike protein. Selected sites were unevenly distributed, with nsp3 representing the preferential target. Several pairs of coevolving sites were also detected, possibly indicating epistatic interactions; most of these were located in nsp3. Adaptive evolution at nsp3 is ongoing in MERS-CoV strains, and two selected sites (G720 and R911) were detected in the protease domain. While position 720 is variable in camel-derived viruses, suggesting that the selective event does not represent a specific adaptation to humans, the R911C substitution was observed only in human-derived MERSCoV isolates, including the viral strain responsible for the recent South Korean outbreak. It will be extremely important to assess whether these changes affect host range or other viral phenotypes. More generally, data herein indicate that CoV nsp3 represents a major selection target and that nsp3 sequencing should be envisaged in monitoring programs and field surveys.

Original languageEnglish
Pages (from-to)3627-3639
Number of pages13
JournalJournal of Virology
Volume90
Issue number7
DOIs
Publication statusPublished - 2016

ASJC Scopus subject areas

  • Immunology
  • Virology

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