Analysis of proteolytic processing sites in potyvirus polyproteins revealed differential amino acid preferences of NIa-Pro protease in each of seven cleavage sitesopen access
- Authors
- Goh, Chul Jun; Hahn, Yoonsoo
- Issue Date
- Jan-2021
- Publisher
- PUBLIC LIBRARY SCIENCE
- Citation
- PLOS ONE, v.16, no.1
- Journal Title
- PLOS ONE
- Volume
- 16
- Number
- 1
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48315
- DOI
- 10.1371/journal.pone.0245853
- ISSN
- 1932-6203
- Abstract
- Potyviruses encode a large polyprotein that undergoes proteolytic processing, producing 10 mature proteins: P1, HC-Pro, P3, 6K1, CI, 6K2, VPg, NIa-Pro, NIb-RdRp, and CP. While P1/HC-Pro and HC-Pro/P3 junctions are cleaved by P1 and HC-Pro, respectively, the remaining seven are processed by NIa-Pro. In this study, we analyzed 135 polyprotein sequences from approved potyvirus species and deduced the consensus amino acid residues at five positions (from -4 to +1, where a protease cleaves between -1 and +1) in each of nine cleavage sites. In general, the newly deduced consensus sequences were consistent with the previous ones. However, seven NIa-Pro cleavage sites showed distinct amino acid preferences despite being processed by the same protease. At position -2, histidine was the dominant amino acid residue in most cleavage sites (57.8-60.7% of analyzed sequences), except for the NIa-Pro/NIb-RdRp junction where it was absent. At position -1, glutamine was highly dominant in most sites (88.2-97.8%), except for the VPg/NIa-Pro junction where glutamic acid was found in all the analyzed proteins (100%). At position +1, serine was the most abundant residue (47.4-86.7%) in five out of seven sites, while alanine (52.6%) and glycine (82.2%) were the most abundant in the P3/6K1 and 6K2/VPg junctions, respectively. These findings suggest that each NIa-Pro cleavage site is finely tuned for differential characteristics of proteolytic reactions. The newly deduced consensus sequences may be useful resources for the development of models and methods to accurately predict potyvirus polyprotein processing sites.
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