Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells

Emre Aktaş; Safiye Elif Korcan; Nehir Özdemir Özgentürk; Ugur Cengiz Erişmiş

Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells

Abstract

It is known that there are direct and indirect interactions between bacteria and viruses. Like some other viruses, we hypothesized that SARS-CoV-2 (Covid-19) may induce bacteria growth to aid its proliferation or may cooperate with bacteria to facilitate its activities in host cells. To verify this hypothesis, some bioinformatic tools and databases were employed. Complete genome sequence of SARS-CoV-2 was used to predict the bacteria with the required features. Results reveal that > 2000 bacteria were found to possess the required features using SMART tool. In addition, we compared different genome sequence of ACE-2 (belonging to different species) with some bacteria. Surprisingly, some bacteria were predicted and many predicted proteins are obtained. Finally, we compared some sequences of SARS-CoV-2 spike proteins with the predicted bacteria using BLAST tool. Results reveal many predicted proteins. These possible connections and similarities may be important for the virus enter the host cell. Until the virus finds the appropriate ACE-2 receptor to enter the host cell, bacteria may support the virus in this process. Perhaps even a virus attached to the bacterial surface which may be predicted to be a carrier for inter-host transmission. With the experimental demonstration of these hypotheses, the way to obtain new data on the reasons for the reproduction of the virus in the human body and the easy transmission of the virus in the population will be opens up. More than 10 different epitopes are found with signal peptide Therefore, focusing on bacteria-virus interactions opens up the window to exploit new future therapeutic targets.

Keywords

References

[1] Zhou P, Yang, XL, Wang XG, Hu B, Zhang L, Si R, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin Nature 2020;579:270–3.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Technical Brief

Authors

Emre Aktaş This is me
0000-0002-9422-3402
Türkiye

Safiye Elif Korcan This is me
0000-0001-7875-5516
Türkiye

Nehir Özdemir Özgentürk This is me
0000-0003-3809-6303
Türkiye

Ugur Cengiz Erişmiş This is me
0000-0002-6958-2016
Türkiye

Publication Date

September 27, 2021

Submission Date

July 24, 2020

Acceptance Date

December 26, 2020

Published in Issue

Year 2021 Volume: 39 Number: 3

IZ

https://izlik.org/JA46ER76KM

Cite

RIS / Bibtex

APA

Aktaş, E., Korcan, S. E., Özdemir Özgentürk, N., & Erişmiş, U. C. (2021). Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells. Sigma Journal of Engineering and Natural Sciences, 39(3), 248-259. https://izlik.org/JA46ER76KM

AMA

1.Aktaş E, Korcan SE, Özdemir Özgentürk N, Erişmiş UC. Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells. SIGMA. 2021;39(3):248-259. https://izlik.org/JA46ER76KM

Chicago

Aktaş, Emre, Safiye Elif Korcan, Nehir Özdemir Özgentürk, and Ugur Cengiz Erişmiş. 2021. “Bioinformatic Analysis Reveals That Some Bacteria May Aid SARS–CoV-2 Spread and Entry into Host Cells”. Sigma Journal of Engineering and Natural Sciences 39 (3): 248-59. https://izlik.org/JA46ER76KM.

EndNote

Aktaş E, Korcan SE, Özdemir Özgentürk N, Erişmiş UC (September 1, 2021) Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells. Sigma Journal of Engineering and Natural Sciences 39 3 248–259.

IEEE

[1]E. Aktaş, S. E. Korcan, N. Özdemir Özgentürk, and U. C. Erişmiş, “Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells”, SIGMA, vol. 39, no. 3, pp. 248–259, Sept. 2021, [Online]. Available: https://izlik.org/JA46ER76KM

ISNAD

Aktaş, Emre - Korcan, Safiye Elif - Özdemir Özgentürk, Nehir - Erişmiş, Ugur Cengiz. “Bioinformatic Analysis Reveals That Some Bacteria May Aid SARS–CoV-2 Spread and Entry into Host Cells”. Sigma Journal of Engineering and Natural Sciences 39/3 (September 1, 2021): 248-259. https://izlik.org/JA46ER76KM.

JAMA

1.Aktaş E, Korcan SE, Özdemir Özgentürk N, Erişmiş UC. Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells. SIGMA. 2021;39:248–259.

MLA

Aktaş, Emre, et al. “Bioinformatic Analysis Reveals That Some Bacteria May Aid SARS–CoV-2 Spread and Entry into Host Cells”. Sigma Journal of Engineering and Natural Sciences, vol. 39, no. 3, Sept. 2021, pp. 248-59, https://izlik.org/JA46ER76KM.

Vancouver

1.Emre Aktaş, Safiye Elif Korcan, Nehir Özdemir Özgentürk, Ugur Cengiz Erişmiş. Bioinformatic analysis reveals that some bacteria may aid SARS–CoV-2 spread and entry into host cells. SIGMA [Internet]. 2021 Sep. 1;39(3):248-59. Available from: https://izlik.org/JA46ER76KM