Synthesis of Cyclopeptides Analogues of Natural Products and Evaluation as Herbicides and Inhibitors of Cyanobacteria.

Natural products derived from plants or microorganisms have been considered as eco-friendly herbicides with application in crop protection. Several natural cyclopeptides have been reported as herbicides, while others have been identified as inhibitors of cyanobacteria. In this work, the syntheses of cyclotetrapeptides and cyclopentapeptides analogues of natural products were successfully performed by solid-phase peptide synthesis of their linear precursor and solution-phase macrolactamization. Four of the obtained peptides and cyclopeptides present phytotoxicity with more than 70% of radicle growth inhibition at 67 µg/mL. In addition, evaluation of 20 peptides and cyclopeptides, as inhibitors of cyanobacteria, rendered five active compounds that reduced the concentration of microcystins in the culture medium.

Determination of Microcystins in Fish Tissue by ELISA and MALDI-TOF MS Using a Highly Specific Single Domain Antibody.

The development of simple, reliable, and cost-effective methods is critically important to study the spatial and temporal variation of microcystins (MCs) in the food chain. Nanobodies (Nbs), antigen binding fragments from camelid antibodies, present valuable features for analytical applications. Their small antigen binding site offers a focused recognition of small analytes, reducing spurious cross-reactivity and matrix effects. A high affinity and broad cross-reactivity anti-MCs-Nb, from a llama antibody library, was validated in enzyme linked immunosorbent assay (ELISA), and bound to magnetic particles with an internal standard for pre-concentration in quantitative-matrix-assisted laser desorption ionization-time of flight mass spectrometry (Nb-QMALDI MS). Both methods are easy and fast; ELISA provides a global result, while Nb-QMALDI MS allows for the quantification of individual congeners and showed excellent performance in the fish muscle extracts. The ELISA assay range was 1.8-29 ng/g and for Nb-QMALDI, it was 0.29-29 ng/g fish ww. Fifty-five fish from a MC-containing dam were analyzed by both methods. The correlation ELISA/sum of the MC congeners by Nb-QMALDI-MS was very high (r Spearman = 0.9645, p < 0.0001). Using ROC curves, ELISA cut-off limits were defined to accurately predict the sum of MCs by Nb-QMALDI-MS (100% sensitivity; ≥89% specificity). Both methods were shown to be simple and efficient for screening MCs in fish muscle to prioritize samples for confirmatory methods.

Comparison of Three Antihapten VHH Selection Strategies for the Development of Highly Sensitive Immunoassays for Microcystins.

Owing to their reproducibility, stability, and cost-effective production, the recombinant variable domains of heavy-chain-only antibodies (VHHs) are becoming a salient option as immunoassay reagents. Recently, there have been several reports describing their application to the detection of small molecules (haptens). However, lacking the heavy-light chain interface of conventional antibodies, VHHs are not particularly apt to bind small analytes and failures are not uncommon. Here we describe the construction of a VHH phage display library against the cyanobacterial hepatotoxin microcystin LR and its selection using competitive panning and two novel panning strategies. The outcome of each strategy was evaluated by a large-scale screening using in vivo biotinylated nanobodies. The three methods selected for different nonoverlapping subsets of VHHs, allowing one to optimize the immunodetection of the toxin. The best results were obtained by promoting the isolation of VHHs with the slowest koff (off-rate selection). Among these, the biotinylated nanobody A2.3 performed in ELISA with excellent recovery and high sensitivity, IC50 = 0.28 µg/L, with a limit of detection that is well below the most rigorous guidelines for the toxin. While it may be case-specific, these results highlight the importance of exploring different panning strategies to optimize the selection of antihapten nanobodies.