Epinecidin-1, a marine antifungal peptide, inhibits Botrytis cinerea and delays gray mold in postharvest peaches

Fan, Li; Wei, Yingying; Chen, Yi; Jiang, Shu; Xing, Feng; Zhang, Chundan; Wang, Hongfei; Shao, Xingfeng

doi:10.1016/j.foodchem.2022.134419

Cited by 30 publications

(9 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, current research reveals that regardless of the inhibitor type, be it organic small molecules, peptides, or proteins, as well as the different target sites (histone deacetylase, succinate dehydrogenase, pyruvate kinase), inhibitors consistently exhibit a more pronounced inhibitory effect on spore germination rather than mycelium growth in B. cinerea . The results of this study are entirely consistent with the literature, suggesting that the observed variations in inhibition effects are not directly associated with the Chitinase target of the DBA inhibitor.…”

Section: Resultsmentioning

confidence: 99%

“…First, the samples underwent dehydration with ethanol solutions of varying concentration gradients. Next, the dehydrated samples were embedded in resin and placed at different temperatures (37,45, and 60 °C) for polymerization. After 48 h of polymerization, the embedding heads were trimmed to obtain suitable sample blocks.…”

Section: Inhibitory Effect Of Dba On B Cinerea 271 Determination Of T...mentioning

confidence: 99%

See 1 more Smart Citation

Dibenzylideneacetone Overcomes Botrytis cinerea Infection in Cherry Tomatoes by Inhibiting Chitinase Activity

Niu,

Wang,

Wang

et al. 2023

J. Agric. Food Chem.

View full text Add to dashboard Cite

Chitinase, a crucial component of the fungal cell wall and septa, plays an important role in fungal germination by hydrolyzing chitin to provide carbon and energy for fungal growth and reproduction. In this study, we initially screened dibenzylideneacetone (DBA), a small molecule with inhibitory activity against Botrytis cinerea Chitinase, exhibiting an IC50 of 13.10 μg/mL. By constructing a three-dimensional (3D) model of the B. cinerea Chitinase and utilizing computational biology approaches, we found DBA bound to the active site pocket and formed strong π–π interactions and hydrophobic interactions with Chitinase, indicative of its competitive inhibitory mode. Site-directed mutagenesis also revealed that TRP-382, TRP-135, and ALA-215 were key amino acid residues involved in DBA binding. Subsequent antifungal assays showed that DBA had an MIC of 32 μg/mL against B. cinerea and EC50 values of 16.29 and 14.64 μg/mL in inhibiting mycelial growth and spore germination, respectively. Importantly, in vivo experiments demonstrated that DBA treatment significantly extended the shelf life of cherry tomatoes by 2-fold. Therefore, DBA represents a promising antifungal agent for fruit preservation applications.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Inhibitory Effect Of Dba On B Cinerea 271 Determination Of T...mentioning

confidence: 99%

Dibenzylideneacetone Overcomes Botrytis cinerea Infection in Cherry Tomatoes by Inhibiting Chitinase Activity

Niu,

Wang,

Wang

et al. 2023

J. Agric. Food Chem.

View full text Add to dashboard Cite

show abstract

“…They have played an important role in protecting organisms from infectious diseases for millions of years, serving as the first line of defense against pathogens through interrupting pathogen-associated molecular processes in the innate immune system [20][21][22][23][24]. It has been suggested as excellent candidates for developing a new generation of antibiotics due to their special ability to kill multi-resistant microorganisms, including bacteria, fungi, parasites, and viruses [25][26][27][28][29]. In addition, substantial evidence indicates that AMPs can recruit immature phagocytic and dendritic cells, leading to the destruction of cancer cells and healing wounds in certain areas [24,30].…”

Section: Introductionmentioning

confidence: 99%

SAMP: Identifying Antimicrobial Peptides by an Ensemble Learning Model Based on Proportionalized Split Amino Acid Composition

Feng,

Sun,

Liu

et al. 2024

Preprint

View full text Add to dashboard Cite

It is projected that 10 million deaths could be attributed to drug-resistant bacteria infections in 2050. To address this concern, identifying new-generation antibiotics is an effective way. Antimicrobial peptides (AMPs), a class of innate immune effectors, have received significant attention for their capacity to eliminate drug-resistant pathogens, including viruses, bacteria, and fungi. Recent years have witnessed widespread applications of computational methods especially machine learning (ML) and deep learning (DL) for discovering AMPs. However, existing methods only use features including compositional, physiochemical, and structural properties of peptides, which cannot fully capture sequence information from AMPs. Here, we present SAMP, an ensemble random projection (RP) based computational model that leverages a new type of features called Proportionalized Split Amino Acid Composition (PSAAC) in addition to conventional sequence-based features for AMP prediction. With this new feature set, SAMP captures the residue patterns like sorting signals at around both the N-terminus and the C-terminus, while also retaining the sequence order information from the middle peptide fragments. Benchmarking tests on different balanced and imbalanced datasets demonstrate that SAMP consistently outperforms existing state-of-the-art methods, such as iAMPpred and AMPScanner V2, in terms of accuracy, MCC, G-measure and F1-score. In addition, by leveraging an ensemble RP architecture, SAMP is scalable to processing large-scale AMP identification with further performance improvement, compared to those models without RP. To facilitate the use of SAMP, we have developed a Python package freely available at https://github.com/wan-mlab/SAMP.

show abstract

“…Antimicrobial peptides (AMPs) constitute an important source for developing a new generation of antibiotics. AMPs have a broad range of activity against microorganisms, including bacteria [ 6 ], fungi [ 7 ], parasites [ 8 ], and viruses [ 9 , 10 ]. These peptides play a critical role in innate immunity by responding to a variety of pathogen-associated molecular patterns through increased leukocyte recruitment to the infection site and signaling damaged tissues [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology

et al. 2023

View full text Add to dashboard Cite

Antimicrobial peptides (AMPs) have been investigated for their potential use as an alternative to antibiotics due to the increased demand for new antimicrobial agents. AMPs, widely found in nature and obtained from microorganisms, have a broad range of antimicrobial protection, allowing them to be applied in the treatment of infections caused by various pathogenic microorganisms. Since these peptides are primarily cationic, they prefer anionic bacterial membranes due to electrostatic interactions. However, the applications of AMPs are currently limited owing to their hemolytic activity, poor bioavailability, degradation from proteolytic enzymes, and high-cost production. To overcome these limitations, nanotechnology has been used to improve AMP bioavailability, permeation across barriers, and/or protection against degradation. In addition, machine learning has been investigated due to its time-saving and cost-effective algorithms to predict AMPs. There are numerous databases available to train machine learning models. In this review, we focus on nanotechnology approaches for AMP delivery and advances in AMP design via machine learning. The AMP sources, classification, structures, antimicrobial mechanisms, their role in diseases, peptide engineering technologies, currently available databases, and machine learning techniques used to predict AMPs with minimal toxicity are discussed in detail.

show abstract

Epinecidin-1, a marine antifungal peptide, inhibits Botrytis cinerea and delays gray mold in postharvest peaches

Cited by 30 publications

References 39 publications

Dibenzylideneacetone Overcomes Botrytis cinerea Infection in Cherry Tomatoes by Inhibiting Chitinase Activity

Dibenzylideneacetone Overcomes Botrytis cinerea Infection in Cherry Tomatoes by Inhibiting Chitinase Activity

SAMP: Identifying Antimicrobial Peptides by an Ensemble Learning Model Based on Proportionalized Split Amino Acid Composition

Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology

Contact Info

Product

Resources

About