Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/121021
Título: Bioinformatic Analysis of Genome-Predicted Bat Cathelicidins
Autores/as: Pérez de la Lastra, JM
Asensio-Calavia, P
Gonzalez-Acosta, S
Baca-Gonzalez, V
Morales De La Nuez, Antonio José 
Clasificación UNESCO: 310902 Genética
Palabras clave: Cathelicidin
Bat
Bioinformatics
Genome
In silico, et al.
Fecha de publicación: 2021
Publicación seriada: Molecules 
Resumen: 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.
URI: http://hdl.handle.net/10553/121021
ISSN: 1420-3049
DOI: 10.3390/molecules26061811
Fuente: Molecules [ISSN 1420-3049], v. 26
Colección:Artículos
Adobe PDF (4,88 MB)
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.