Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins
Bats are unique in their potential to serve as reservoir hosts for intracellular pathogens. Recently, the impact of COVID-19 has relegated bats from biomedical darkness to the frontline of public health as bats are the natural reservoir of many viruses, including SARS-Cov-2. Many bat genomes have been sequenced recently, and sequences coding for antimicrobial peptides are available in the public databases. Here we provide a structural analysis of genome-predicted bat cathelicidins as components of their innate immunity. A total of 32 unique protein sequences were retrieved from the NCBI database. Interestingly, some bat species contained more than one cathelicidin. We examined the conserved cysteines within the cathelin-like domain and the peptide portion of each sequence and revealed phylogenetic relationships and structural dissimilarities. The antibacterial, antifungal, and antiviral activity of peptides was examined using bioinformatic tools. The peptides were modeled and subjected to docking analysis with the region binding domain (RBD) region of the SARS-CoV-2 Spike protein. The appearance of multiple forms of cathelicidins verifies the complex microbial challenges encountered by these species. Learning more about antiviral defenses of bats and how they drive virus evolution will help scientists to investigate the function of antimicrobial peptides in these species.
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Multidisciplinary Digital Publishing Institute
2021-03-23
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Subjects: | Cathelicidins, Bat, Bioinformatics, Genome, In silico, SARS-COV-2, |
Online Access: | http://hdl.handle.net/10261/237520 http://dx.doi.org/10.13039/501100007757 http://dx.doi.org/10.13039/100012000 http://dx.doi.org/10.13039/501100004837 |
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dig-ipna-es-10261-2375202021-12-27T15:50:52Z Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins Pérez de Lastra, José Manuel Asensio-Calavia, Patricia González-Acosta, Sergio Baca-González, Victoria Morales-delaNuez, Antonio Agencia Canaria de Investigación, Innovación y Sociedad de la Información Ministerio de Ciencia e Innovación (España) Cabildo de Tenerife Fundación CajaCanarias Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 Bats are unique in their potential to serve as reservoir hosts for intracellular pathogens. Recently, the impact of COVID-19 has relegated bats from biomedical darkness to the frontline of public health as bats are the natural reservoir of many viruses, including SARS-Cov-2. Many bat genomes have been sequenced recently, and sequences coding for antimicrobial peptides are available in the public databases. Here we provide a structural analysis of genome-predicted bat cathelicidins as components of their innate immunity. A total of 32 unique protein sequences were retrieved from the NCBI database. Interestingly, some bat species contained more than one cathelicidin. We examined the conserved cysteines within the cathelin-like domain and the peptide portion of each sequence and revealed phylogenetic relationships and structural dissimilarities. The antibacterial, antifungal, and antiviral activity of peptides was examined using bioinformatic tools. The peptides were modeled and subjected to docking analysis with the region binding domain (RBD) region of the SARS-CoV-2 Spike protein. The appearance of multiple forms of cathelicidins verifies the complex microbial challenges encountered by these species. Learning more about antiviral defenses of bats and how they drive virus evolution will help scientists to investigate the function of antimicrobial peptides in these species. This work was funded by “Agencia Canaria de Investigación, Innovación y Sociedad de la Información (ACIISI) del Gobierno de Canarias”, project ProID2020010134 “Bioprospección y biotecnología en el descubrimiento de péptidos antimicrobianos contra patógenos resistentes” and CajaCanarias project 2019SP43 “Nanotecnología para el tratamiento antifúngico poscosecha de la pobredumbre gris (Botrytis cinérea)”. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. We are grateful to Cristina Garrido for her technical assistance. We also thank Maria do Carmo Barreto, Laila Moujir Moujir and Nelson Simões for their kind invitation to write this manuscript for this special issue. P. Asensio-Calavia is the recipient of financial aid for Technical Support Personnel contracts (PTA) from the Spanish Ministry of Science and Innovation. A. Morales-delaNuez is currently funded by the Cabildo de Tenerife, under the TFinnova Programme supported by MEDI and FDCAN funds (project number 19-0231). The article was edited by Guido Jones, currently funded by the same institutions. Peer reviewed 2021-04-09T13:21:48Z 2021-04-09T13:21:48Z 2021-03-23 artículo http://purl.org/coar/resource_type/c_6501 Molecules 26(6), 1181: 1-16 (2021) http://hdl.handle.net/10261/237520 10.3390/molecules26061811 1420-3049 http://dx.doi.org/10.13039/501100007757 http://dx.doi.org/10.13039/100012000 http://dx.doi.org/10.13039/501100004837 33806967 en Publisher's version https://doi.org/10.3390/molecules26061811 Sí open Multidisciplinary Digital Publishing Institute |
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Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 |
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Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 Pérez de Lastra, José Manuel Asensio-Calavia, Patricia González-Acosta, Sergio Baca-González, Victoria Morales-delaNuez, Antonio Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
description |
Bats are unique in their potential to serve as reservoir hosts for intracellular pathogens. Recently, the impact of COVID-19 has relegated bats from biomedical darkness to the frontline of public health as bats are the natural reservoir of many viruses, including SARS-Cov-2. Many bat genomes have been sequenced recently, and sequences coding for antimicrobial peptides are available in the public databases. Here we provide a structural analysis of genome-predicted bat cathelicidins as components of their innate immunity. A total of 32 unique protein sequences were retrieved from the NCBI database. Interestingly, some bat species contained more than one cathelicidin. We examined the conserved cysteines within the cathelin-like domain and the peptide portion of each sequence and revealed phylogenetic relationships and structural dissimilarities. The antibacterial, antifungal, and antiviral activity of peptides was examined using bioinformatic tools. The peptides were modeled and subjected to docking analysis with the region binding domain (RBD) region of the SARS-CoV-2 Spike protein. The appearance of multiple forms of cathelicidins verifies the complex microbial challenges encountered by these species. Learning more about antiviral defenses of bats and how they drive virus evolution will help scientists to investigate the function of antimicrobial peptides in these species. |
author2 |
Agencia Canaria de Investigación, Innovación y Sociedad de la Información |
author_facet |
Agencia Canaria de Investigación, Innovación y Sociedad de la Información Pérez de Lastra, José Manuel Asensio-Calavia, Patricia González-Acosta, Sergio Baca-González, Victoria Morales-delaNuez, Antonio |
format |
artículo |
topic_facet |
Cathelicidins Bat Bioinformatics Genome In silico SARS-COV-2 |
author |
Pérez de Lastra, José Manuel Asensio-Calavia, Patricia González-Acosta, Sergio Baca-González, Victoria Morales-delaNuez, Antonio |
author_sort |
Pérez de Lastra, José Manuel |
title |
Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
title_short |
Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
title_full |
Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
title_fullStr |
Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
title_full_unstemmed |
Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins |
title_sort |
bioinformatic analysis of genome-predicted bat cathelicidins |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021-03-23 |
url |
http://hdl.handle.net/10261/237520 http://dx.doi.org/10.13039/501100007757 http://dx.doi.org/10.13039/100012000 http://dx.doi.org/10.13039/501100004837 |
work_keys_str_mv |
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_version_ |
1777669886660575232 |