Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction

Amphibians are widely distributed on different continents, except for the polar regions. They are important sources for the isolation, purification and characterization of natural compounds, including peptides with various functions. Innate immune antimicrobial peptides (AMPs) play a critical role i...

Full description

Bibliographic Details
Main Author: Guangshun Wang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Antibiotics
Subjects:
Online Access:https://www.mdpi.com/2079-6382/9/8/491
_version_ 1797559685421727744
author Guangshun Wang
author_facet Guangshun Wang
author_sort Guangshun Wang
collection DOAJ
description Amphibians are widely distributed on different continents, except for the polar regions. They are important sources for the isolation, purification and characterization of natural compounds, including peptides with various functions. Innate immune antimicrobial peptides (AMPs) play a critical role in warding off invading pathogens, such as bacteria, fungi, parasites, and viruses. They may also have other biological functions such as endotoxin neutralization, chemotaxis, anti-inflammation, and wound healing. This article documents a bioinformatic analysis of over 1000 amphibian antimicrobial peptides registered in the Antimicrobial Peptide Database (APD) in the past 18 years. These anuran peptides were discovered in Africa, Asia, Australia, Europe, and America from 1985 to 2019. Genomic and peptidomic studies accelerated the discovery pace and underscored the necessity in establishing criteria for peptide entry into the APD. A total of 99.9% of the anuran antimicrobial peptides are less than 50 amino acids with an average length of 24 and a net charge of +2.5. Interestingly, the various amphibian peptide families (e.g., temporins, brevinins, esculentins) can be connected through multiple length-dependent relationships. With an increase in length, peptide net charge increases, while the hydrophobic content decreases. In addition, glycine, leucine, lysine, and proline all show linear correlations with peptide length. These correlations improve our understanding of amphibian peptides and may be useful for prediction and design of new linear peptides with potential applications in treating infectious diseases, cancer and diabetes.
first_indexed 2024-03-10T17:49:51Z
format Article
id doaj.art-5db44fc9b60549508feae753ca1da6e5
institution Directory Open Access Journal
issn 2079-6382
language English
last_indexed 2024-03-10T17:49:51Z
publishDate 2020-08-01
publisher MDPI AG
record_format Article
series Antibiotics
spelling doaj.art-5db44fc9b60549508feae753ca1da6e52023-11-20T09:24:42ZengMDPI AGAntibiotics2079-63822020-08-019849110.3390/antibiotics9080491Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and PredictionGuangshun Wang0Department of Pathology and Microbiology, College of Medicine, University of Nebraska Medical Center, 985900 Nebraska Medical Center, Omaha, NE 68198-5900, USAAmphibians are widely distributed on different continents, except for the polar regions. They are important sources for the isolation, purification and characterization of natural compounds, including peptides with various functions. Innate immune antimicrobial peptides (AMPs) play a critical role in warding off invading pathogens, such as bacteria, fungi, parasites, and viruses. They may also have other biological functions such as endotoxin neutralization, chemotaxis, anti-inflammation, and wound healing. This article documents a bioinformatic analysis of over 1000 amphibian antimicrobial peptides registered in the Antimicrobial Peptide Database (APD) in the past 18 years. These anuran peptides were discovered in Africa, Asia, Australia, Europe, and America from 1985 to 2019. Genomic and peptidomic studies accelerated the discovery pace and underscored the necessity in establishing criteria for peptide entry into the APD. A total of 99.9% of the anuran antimicrobial peptides are less than 50 amino acids with an average length of 24 and a net charge of +2.5. Interestingly, the various amphibian peptide families (e.g., temporins, brevinins, esculentins) can be connected through multiple length-dependent relationships. With an increase in length, peptide net charge increases, while the hydrophobic content decreases. In addition, glycine, leucine, lysine, and proline all show linear correlations with peptide length. These correlations improve our understanding of amphibian peptides and may be useful for prediction and design of new linear peptides with potential applications in treating infectious diseases, cancer and diabetes.https://www.mdpi.com/2079-6382/9/8/491amino acid signatureamphibiansamphipathic helixantimicrobial peptidesdatabasepeptide design
spellingShingle Guangshun Wang
Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
Antibiotics
amino acid signature
amphibians
amphipathic helix
antimicrobial peptides
database
peptide design
title Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
title_full Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
title_fullStr Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
title_full_unstemmed Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
title_short Bioinformatic Analysis of 1000 Amphibian Antimicrobial Peptides Uncovers Multiple Length-Dependent Correlations for Peptide Design and Prediction
title_sort bioinformatic analysis of 1000 amphibian antimicrobial peptides uncovers multiple length dependent correlations for peptide design and prediction
topic amino acid signature
amphibians
amphipathic helix
antimicrobial peptides
database
peptide design
url https://www.mdpi.com/2079-6382/9/8/491
work_keys_str_mv AT guangshunwang bioinformaticanalysisof1000amphibianantimicrobialpeptidesuncoversmultiplelengthdependentcorrelationsforpeptidedesignandprediction