ArticleScientific reports2019
Antimicrobial peptides from Rana [Lithobates] catesbeiana: Gene structure and bioinformatic identification of novel forms from tadpoles.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 28 citations in OpenAlex.
- FrogPCSP: a propeptide cleavage site predictor for frog antimicrobial peptides.Scientific reports · 2026Article
- The Rana sylvatica skin-secreted antimicrobial peptide (AMP) gene repertoire highlights broader patterns in anuran AMP evolution.Scientific reports · 2026Article
- Mining the UniProtKB/Swiss-Prot database for antimicrobial peptides.Protein science : a publication of the Protein Society · 2025Article
- Antibacterial Activity of AXOTL-13, a Novel Peptide Identified from the Transcriptome of the SalamanderPharmaceutics · 2024Article
- Structure-aware deep learning model for peptide toxicity prediction.Protein science : a publication of the Protein Society · 2024Article
- Multi-omics resources for the Australian southern stuttering frog (Mixophyes australis) reveal assorted antimicrobial peptides.Scientific reports · 2024Article
- In Silico and In vitro Evaluations of the Antibacterial Activities of HIV-1 Nef Peptides againstInternational journal of molecular and cellular medicine · 2024Article
- Peptidomics Analysis Reveals the Buccal Gland of Jawless Vertebrate Lamprey as a Source of Multiple Bioactive Peptides.Marine drugs · 2023Article
- Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects.Antibiotics (Basel, Switzerland) · 2022Article
- Structural analysis of the peptides temporin-Ra and temporin-Rb and interactions with model membranes.European biophysics journal : EBJ · 2022Article
- Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage.Antibiotics (Basel, Switzerland) · 2022Article
- AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.BMC genomics · 2022Article
- Identification and Functional Characterization of Peptides With Antimicrobial Activity From the Syphilis Spirochete,Frontiers in microbiology · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial peptides (AMPs) exhibit broad-spectrum antimicrobial activity, and have promise as new therapeutic agents. While the adult North American bullfrog (Rana [Lithobates] catesbeiana) is a prolific source of high-potency AMPs, the aquatic tadpole represents a relatively untapped source for new AMP discovery. The recent publication of the bullfrog genome and transcriptomic resources provides an opportune bridge between known AMPs and bioinformatics-based AMP discovery. The objective of the present study was to identify novel AMPs with therapeutic potential using a combined bioinformatics and wet lab-based approach. In the present study, we identified seven novel AMP precursor-encoding transcripts expressed in the tadpole. Comparison of their amino acid sequences with known AMPs revealed evidence of mature peptide sequence conservation with variation in the prepro sequence. Two mature peptide sequences were unique and demonstrated bacteriostatic and bactericidal activity against Mycobacteria but not Gram-negative or Gram-positive bacteria. Nine known and seven novel AMP-encoding transcripts were detected in premetamorphic tadpole back skin, olfactory epithelium, liver, and/or tail fin. Treatment of tadpoles with 10 nM 3,5,3'-triiodothyronine for 48 h did not affect transcript abundance in the back skin, and had limited impact on these transcripts in the other three tissues. Gene mapping revealed considerable diversity in size (1.6-15 kbp) and exon number (one to four) of AMP-encoding genes with clear evidence of alternative splicing leading to both prepro and mature amino acid sequence diversity. These findings verify the accuracy and utility of the bullfrog genome assembly, and set a firm foundation for bioinformatics-based AMP discovery.
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