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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Bibliographic Details
Main Authors: Pérez de Lastra, José Manuel, Asensio-Calavia, Patricia, González-Acosta, Sergio, Baca-González, Victoria, Morales-delaNuez, Antonio
Other Authors: Agencia Canaria de Investigación, Innovación y Sociedad de la Información
Format: artículo biblioteca
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021-03-23
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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spelling 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
institution IPNA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ipna-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IPNA España
language English
topic Cathelicidins
Bat
Bioinformatics
Genome
In silico
SARS-COV-2
Cathelicidins
Bat
Bioinformatics
Genome
In silico
SARS-COV-2
spellingShingle 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
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