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In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)

As the emergence and prevalence of antibiotic-resistant strains have resulted in a global crisis, there is an urgent need for new antimicrobial agents. Antimicrobial peptides (AMPs) exhibit inhibitory activity against a wide spectrum of pathogens and can be utilized as an alternative to conventional...

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Autores principales: Shin, Min Kyoung, Hwang, In-Wook, Jang, Bo-Young, Bu, Kyung-Bin, Yoo, Jung Sun, Sung, Jung-Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416796/
https://www.ncbi.nlm.nih.gov/pubmed/37577428
http://dx.doi.org/10.3389/fmicb.2023.1249175
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author Shin, Min Kyoung
Hwang, In-Wook
Jang, Bo-Young
Bu, Kyung-Bin
Yoo, Jung Sun
Sung, Jung-Suk
author_facet Shin, Min Kyoung
Hwang, In-Wook
Jang, Bo-Young
Bu, Kyung-Bin
Yoo, Jung Sun
Sung, Jung-Suk
author_sort Shin, Min Kyoung
collection PubMed
description As the emergence and prevalence of antibiotic-resistant strains have resulted in a global crisis, there is an urgent need for new antimicrobial agents. Antimicrobial peptides (AMPs) exhibit inhibitory activity against a wide spectrum of pathogens and can be utilized as an alternative to conventional antibiotics. In this study, two novel AMPs were identified from the venom transcriptome of the spider Argiope bruennichi (Scopoli, 1772) using in silico methods, and their antimicrobial activity was experimentally validated. Aranetoxin-Ab2a (AATX-Ab2a) and Aranetoxin-Ab3a (AATX-Ab3a) were identified by homology analysis and were predicted to have high levels of antimicrobial activity based on in silico analysis. Both peptides were found to have antibacterial effect against Gram-positive and -negative strains, and, in particular, showed significant inhibitory activity against multidrug-resistant Pseudomonas aeruginosa isolates. In addition, AATX-Ab2a and AATX-Ab3a inhibited animal and vegetable fungal strains, while showing low toxicity to normal human cells. The antimicrobial activity of the peptides was attributed to the increased permeability of microbial membranes. The study described the discovery of novel antibiotic candidates, AATX-Ab2a and AATX-Ab3a, using the spider venom gland transcriptome, and validated an in silico-based method for identifying functional substances from biological resources.
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spelling pubmed-104167962023-08-12 In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772) Shin, Min Kyoung Hwang, In-Wook Jang, Bo-Young Bu, Kyung-Bin Yoo, Jung Sun Sung, Jung-Suk Front Microbiol Microbiology As the emergence and prevalence of antibiotic-resistant strains have resulted in a global crisis, there is an urgent need for new antimicrobial agents. Antimicrobial peptides (AMPs) exhibit inhibitory activity against a wide spectrum of pathogens and can be utilized as an alternative to conventional antibiotics. In this study, two novel AMPs were identified from the venom transcriptome of the spider Argiope bruennichi (Scopoli, 1772) using in silico methods, and their antimicrobial activity was experimentally validated. Aranetoxin-Ab2a (AATX-Ab2a) and Aranetoxin-Ab3a (AATX-Ab3a) were identified by homology analysis and were predicted to have high levels of antimicrobial activity based on in silico analysis. Both peptides were found to have antibacterial effect against Gram-positive and -negative strains, and, in particular, showed significant inhibitory activity against multidrug-resistant Pseudomonas aeruginosa isolates. In addition, AATX-Ab2a and AATX-Ab3a inhibited animal and vegetable fungal strains, while showing low toxicity to normal human cells. The antimicrobial activity of the peptides was attributed to the increased permeability of microbial membranes. The study described the discovery of novel antibiotic candidates, AATX-Ab2a and AATX-Ab3a, using the spider venom gland transcriptome, and validated an in silico-based method for identifying functional substances from biological resources. Frontiers Media S.A. 2023-07-28 /pmc/articles/PMC10416796/ /pubmed/37577428 http://dx.doi.org/10.3389/fmicb.2023.1249175 Text en Copyright © 2023 Shin, Hwang, Jang, Bu, Yoo and Sung. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Shin, Min Kyoung
Hwang, In-Wook
Jang, Bo-Young
Bu, Kyung-Bin
Yoo, Jung Sun
Sung, Jung-Suk
In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title_full In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title_fullStr In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title_full_unstemmed In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title_short In silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider Argiope bruennichi (Scopoli, 1772)
title_sort in silico identification of novel antimicrobial peptides from the venom gland transcriptome of the spider argiope bruennichi (scopoli, 1772)
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416796/
https://www.ncbi.nlm.nih.gov/pubmed/37577428
http://dx.doi.org/10.3389/fmicb.2023.1249175
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