Hydrophobic Alpha-Helical Short Peptides in Overlapping Reading Frames of the Coronavirus Genome

Author:

Okura Takashi,Shirato KazuyaORCID,Kakizaki Masatoshi,Sugimoto Satoko,Matsuyama Shutoku,Tanaka TomohisaORCID,Kume YoheiORCID,Chishiki MinaORCID,Ono Takashi,Moriishi KohjiORCID,Sonoyama MasashiORCID,Hosoya MitsuakiORCID,Hashimoto KoichiORCID,Maenaka KatsumiORCID,Takeda MakotoORCID

Abstract

In this study, we show that the coronavirus (CoV) genome may encode many functional hydrophobic alpha-helical peptides (HAHPs) in overlapping reading frames of major coronaviral proteins throughout the entire viral genome. These HAHPs can theoretically be expressed from non-canonical sub-genomic (sg)RNAs that are synthesized in substantial amounts in infected cells. We selected and analyzed five and six HAHPs encoded in the S gene regions of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Middle East respiratory syndrome coronavirus (MERS-CoV), respectively. Two and three HAHPs derived from SARS-CoV-2 and MERS-CoV, respectively, specifically interacted with both the SARS-CoV-2 and MERS-CoV S proteins and inhibited their membrane fusion activity. Furthermore, one of the SARS-CoV-2 HAHPs specifically inhibited viral RNA synthesis by accumulating at the site of viral RNA synthesis. Our data show that a group of HAHPs in the coronaviral genome potentially has a regulatory role in viral propagation.

Funder

MHLW

Japanese Respiratory Foundation

Research Foundation for Opto-Science and Technology

The Naito Foundation

Publisher

MDPI AG

Subject

Infectious Diseases,Microbiology (medical),General Immunology and Microbiology,Molecular Biology,Immunology and Allergy

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Achalasia Following SARS-CoV-2 Infection: A Case Report and Review of Literature;Zeitschrift für Gastroenterologie;2024-04-24

2. Prediction of Potential Repurposed Drugs against SARS-CoV-2 based on Text Mining and Molecular Docking Analysis;2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR);2023-09-22

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