High accuracy mass spectrometry comparison of Conus bandanus and Conus marmoreus venoms from the South Central Coast of Vietnam.

Cone snail (genus Conus) venoms provide a rich source of small bioactive peptides known as conopeptides or conotoxins, which are highly interesting in pharmacological studies for new drug discovery. Conus species have evolved expressing a variety of conopeptides, adapted to the biological targets of their own specific preys at their living environments. Therefore, the potential proteomic evaluation of Conus venom components, poorly studied, is of great interest. Early studies supposed about 5% overlap in venom peptides from different Conus species. In this study, we compare using nano-liquid chromatography coupled with electrospray ionisation-mass spectrometry and bioinformatics, the molluscivorous Conus bandanus venom to that of its close-relative Conus marmoreus of the South Central Coast of Vietnam. With this approach, we demonstrate with high precision that 92 common conopeptides are present in the venom of the two mollusc-hunting cone snails, representing 24.4% (out of 376 peptides) and 18.4% (out of 499 peptides) of C. bandanus and C. marmoreus components, respectively. The proteomic comparison of the two close-relative interspecies suggests both common and different strategies for mature conopeptide production in the two species. The overall estimation of putative conopeptide disulphide bridges reveals 75% and 61% of "disulphide-rich" peptides in C. bandanus and C. marmoreus venom components, respectively. The same amino acid sequence for Bn1.1 and Mr1.1, determined at the genomic level, was also found in the two venoms, besides other common conopeptides. Confidently, the broader distribution of C. bandanus compared to C. marmoreus guarantee new opportunities for discovering conopeptides with original pharmacological properties.

The soluble proteome phenotypes of ivermectin resistant and ivermectin susceptible Haemonchus contortus females compared.

Anthelmintics in the absence of vaccines have underpinned a parasite control strategy for over 50 years. However, the continued development of anthelmintic resistance (AR) threatens this control. Measuring early AR is difficult as there many routes that resistance can arise from within multi-nematode populations operating complex metabolism capabilities coupled to different drug management pressures. There is an urgent need to identify and measure early resistance in the field situation. Proteomic profiling of expressed soluble proteins offers a new approach to reveal a drug resistant phenotype within a complex protein pattern. The hypothesis under test was that established differences in drug response phenotypes between nematode isolates can also be measured in their comparative proteomes. As a case study, proteomic differences were measured between an ivermectin resistant and susceptible adult female Haemonchus contortus. Adult H. contortus females were extracted from the abomasa of six lambs. The nematodes had been maintained in the lambs as monospecific isolates of either ivermectin susceptible or ivermectin resistant worms. Comparative analysis of the soluble proteome was completed along with immuno-proteomic analysis using pooled infection sera from the lambs. Following image analysis, spots of interest were excised and analysed by peptide mass fingerprinting and the proteins putatively identified using BLAST. Overall, a relative increase in the expression of proteins involved in the detoxification metabolic area was observed in the resistant isolate. In addition, Western blotting analysis also revealed differences in immuno-reactivity profiles between resistant and susceptible isolates. It can be concluded from this study that proteomic differences can be detectable between ivermectin susceptible and a resistant isolates of H. contortus, which could be further explored using other isolates to confirm if proteomic based fingerprinting offers molecular phenotyping or a new panel of resistance biomarkers.

Proteomic profiling and protein identification by MALDI-TOF mass spectrometry in unsequenced parasitic nematodes.

Lack of genomic sequence data and the relatively high cost of tandem mass spectrometry have hampered proteomic investigations into helminths, such as resolving the mechanism underpinning globally reported anthelmintic resistance. Whilst detailed mechanisms of resistance remain unknown for the majority of drug-parasite interactions, gene mutations and changes in gene and protein expression are proposed key aspects of resistance. Comparative proteomic analysis of drug-resistant and -susceptible nematodes may reveal protein profiles reflecting drug-related phenotypes. Using the gastro-intestinal nematode, Haemonchus contortus as case study, we report the application of freely available expressed sequence tag (EST) datasets to support proteomic studies in unsequenced nematodes. EST datasets were translated to theoretical protein sequences to generate a searchable database. In conjunction with matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF-MS), Peptide Mass Fingerprint (PMF) searching of databases enabled a cost-effective protein identification strategy. The effectiveness of this approach was verified in comparison with MS/MS de novo sequencing with searching of the same EST protein database and subsequent searches of the NCBInr protein database using the Basic Local Alignment Search Tool (BLAST) to provide protein annotation. Of 100 proteins from 2-DE gel spots, 62 were identified by MALDI-TOF-MS and PMF searching of the EST database. Twenty randomly selected spots were analysed by electrospray MS/MS and MASCOT Ion Searches of the same database. The resulting sequences were subjected to BLAST searches of the NCBI protein database to provide annotation of the proteins and confirm concordance in protein identity from both approaches. Further confirmation of protein identifications from the MS/MS data were obtained by de novo sequencing of peptides, followed by FASTS algorithm searches of the EST putative protein database. This study demonstrates the cost-effective use of available EST databases and inexpensive, accessible MALDI-TOF MS in conjunction with PMF for reliable protein identification in unsequenced organisms.