Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions

Gastropods are among the most diverse animals. Gastropod mucus contains several glycoproteins and peptides that vary by species and habitat. Some bioactive peptides from gastropod mucus were identified only in a few species. Therefore, using biochemical, mass spectrometric, and bioinformatics approa...

Full description

Bibliographic Details
Main Authors: Viroj Tachapuripunya, Sittiruk Roytrakul, Pramote Chumnanpuen, Teerasak E-kobon
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/11/3475
_version_ 1797531002503954432
author Viroj Tachapuripunya
Sittiruk Roytrakul
Pramote Chumnanpuen
Teerasak E-kobon
author_facet Viroj Tachapuripunya
Sittiruk Roytrakul
Pramote Chumnanpuen
Teerasak E-kobon
author_sort Viroj Tachapuripunya
collection DOAJ
description Gastropods are among the most diverse animals. Gastropod mucus contains several glycoproteins and peptides that vary by species and habitat. Some bioactive peptides from gastropod mucus were identified only in a few species. Therefore, using biochemical, mass spectrometric, and bioinformatics approaches, this study aimed to comprehensively identify putative bioactive peptides from the mucus proteomes of seven commonly found or commercially valuable gastropods. The mucus was collected in triplicate samples, and the proteins were separated by 1D-SDS-PAGE before tryptic digestion and peptide identification by nano LC-MS/MS. The mucus peptides were subsequently compared with R scripts. A total of 2818 different peptides constituting 1634 proteins from the mucus samples were identified, and 1218 of these peptides (43%) were core peptides found in the mucus of all examined species. Clustering and correspondence analyses of 1600 variable peptides showed unique mucous peptide patterns for each species. The high-throughput k-nearest neighbor and random forest-based prediction programs were developed with more than 95% averaged accuracy and could identify 11 functional categories of putative bioactive peptides and 268 peptides (9.5%) with at least five to seven bioactive properties. Antihypertensive, drug-delivering, and antiparasitic peptides were predominant. These peptides provide an understanding of gastropod mucus, and the putative bioactive peptides are expected to be experimentally validated for further medical, pharmaceutical, and cosmetic applications.
first_indexed 2024-03-10T10:37:54Z
format Article
id doaj.art-40c530d99beb414c87c08a184bb41841
institution Directory Open Access Journal
issn 1420-3049
language English
last_indexed 2024-03-10T10:37:54Z
publishDate 2021-06-01
publisher MDPI AG
record_format Article
series Molecules
spelling doaj.art-40c530d99beb414c87c08a184bb418412023-11-21T23:09:32ZengMDPI AGMolecules1420-30492021-06-012611347510.3390/molecules26113475Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics PredictionsViroj Tachapuripunya0Sittiruk Roytrakul1Pramote Chumnanpuen2Teerasak E-kobon3Department of Genetics, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandFunctional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani 12120, ThailandDepartment of Zoology, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandDepartment of Genetics, Faculty of Science, Kasetsart University, Bangkok 10900, ThailandGastropods are among the most diverse animals. Gastropod mucus contains several glycoproteins and peptides that vary by species and habitat. Some bioactive peptides from gastropod mucus were identified only in a few species. Therefore, using biochemical, mass spectrometric, and bioinformatics approaches, this study aimed to comprehensively identify putative bioactive peptides from the mucus proteomes of seven commonly found or commercially valuable gastropods. The mucus was collected in triplicate samples, and the proteins were separated by 1D-SDS-PAGE before tryptic digestion and peptide identification by nano LC-MS/MS. The mucus peptides were subsequently compared with R scripts. A total of 2818 different peptides constituting 1634 proteins from the mucus samples were identified, and 1218 of these peptides (43%) were core peptides found in the mucus of all examined species. Clustering and correspondence analyses of 1600 variable peptides showed unique mucous peptide patterns for each species. The high-throughput k-nearest neighbor and random forest-based prediction programs were developed with more than 95% averaged accuracy and could identify 11 functional categories of putative bioactive peptides and 268 peptides (9.5%) with at least five to seven bioactive properties. Antihypertensive, drug-delivering, and antiparasitic peptides were predominant. These peptides provide an understanding of gastropod mucus, and the putative bioactive peptides are expected to be experimentally validated for further medical, pharmaceutical, and cosmetic applications.https://www.mdpi.com/1420-3049/26/11/3475gastropodmucusbioactive peptidesmachine-learning predictionproteomics
spellingShingle Viroj Tachapuripunya
Sittiruk Roytrakul
Pramote Chumnanpuen
Teerasak E-kobon
Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
Molecules
gastropod
mucus
bioactive peptides
machine-learning prediction
proteomics
title Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
title_full Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
title_fullStr Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
title_full_unstemmed Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
title_short Unveiling Putative Functions of Mucus Proteins and Their Tryptic Peptides in Seven Gastropod Species Using Comparative Proteomics and Machine Learning-Based Bioinformatics Predictions
title_sort unveiling putative functions of mucus proteins and their tryptic peptides in seven gastropod species using comparative proteomics and machine learning based bioinformatics predictions
topic gastropod
mucus
bioactive peptides
machine-learning prediction
proteomics
url https://www.mdpi.com/1420-3049/26/11/3475
work_keys_str_mv AT virojtachapuripunya unveilingputativefunctionsofmucusproteinsandtheirtrypticpeptidesinsevengastropodspeciesusingcomparativeproteomicsandmachinelearningbasedbioinformaticspredictions
AT sittirukroytrakul unveilingputativefunctionsofmucusproteinsandtheirtrypticpeptidesinsevengastropodspeciesusingcomparativeproteomicsandmachinelearningbasedbioinformaticspredictions
AT pramotechumnanpuen unveilingputativefunctionsofmucusproteinsandtheirtrypticpeptidesinsevengastropodspeciesusingcomparativeproteomicsandmachinelearningbasedbioinformaticspredictions
AT teerasakekobon unveilingputativefunctionsofmucusproteinsandtheirtrypticpeptidesinsevengastropodspeciesusingcomparativeproteomicsandmachinelearningbasedbioinformaticspredictions