Bioactivity Profiling of In Silico Predicted Linear Toxins from the Ants Myrmica rubra and Myrmica ruginodis

Toxins (Basel). 2022 Dec 2;14(12):846. doi: 10.3390/toxins14120846.

Abstract

The venoms of ants (Formicidae) are a promising source of novel bioactive molecules with potential for clinical and agricultural applications. However, despite the rich diversity of ant species, only a fraction of this vast resource has been thoroughly examined in bioprospecting programs. Previous studies focusing on the venom of Central European ants (subfamily Myrmicinae) identified a number of short linear decapeptides and nonapeptides resembling antimicrobial peptides (AMPs). Here, we describe the in silico approach and bioactivity profiling of 10 novel AMP-like peptides from the fellow Central European myrmicine ants Myrmica rubra and Myrmica ruginodis. Using the sequences of known ant venom peptides as queries, we screened the venom gland transcriptomes of both species. We found transcripts of nine novel decapeptides and one novel nonapeptide. The corresponding peptides were synthesized for bioactivity profiling in a broad panel of assays consisting of tests for cytotoxicity as well as antiviral, insecticidal, and antimicrobial activity. U-MYRTX-Mrug5a showed moderately potent antimicrobial effects against several bacteria, including clinically relevant pathogens such as Listeria monocytogenes and Staphylococcus epidermidis, but high concentrations showed negligible cytotoxicity. U-MYRTX-Mrug5a is, therefore, a probable lead for the development of novel peptide-based antibiotics.

Keywords: ant; antibiotics; biodiscovery; drug leads; toxin; venomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Ant Venoms* / chemistry
  • Ant Venoms* / toxicity
  • Anti-Infective Agents*
  • Ants* / genetics
  • Peptides / chemistry
  • Transcriptome
  • Venoms

Substances

  • Peptides
  • Venoms
  • Anti-Infective Agents
  • Ant Venoms

Grants and funding

The work is part of the Animal Venomics project embedded into the Centre for Translational Biodiversity Genomics (LOEWE–TBG) and was granted to A.V. under the program “LOEWE–Landes-Offensive zur Entwicklung Wissenschaftlich-Ökonomischer Exzellenz” of the Hessian Ministry of Higher Education, Research and the Arts. We acknowledge access to resources financially supported by BMBF grant FKZ 031A533 within the de.NBI network. The authors also acknowledge funding supporting the LOEWE Centre for Insect Biotechnology and Bioresources. Parts of this research were funded by the German Federal Ministry for Education and Research, BMBF (ASCRIBE-grant number 01KI2024).