Extended Snake Venomics by Top-Down In-Source Decay: Investigating the Newly Discovered Anatolian Meadow Viper Subspecies, Vipera anatolica senliki
peer-reviewed · Journal of Proteome Research · 2020
| Date | 2020-03-17 |
| Type | peer-reviewed |
| Venue | Journal of Proteome Research |
| Publisher | American Chemical Society |
| Contribution | downstream-application |
| DOI | 10.1021/acs.jproteome.9b00869 |
| Citations (OpenAlex) | 28 |
| Venue 2-year citedness | 3.48 |
Abstract
Herein, we report on the venom proteome of Vipera anatolica senliki, a recently discovered and hitherto unexplored subspecies of the critically endangered Anatolian meadow viper endemic to the Antalya Province of Turkey. Integrative venomics, including venom gland transcriptomics as well as complementary bottom-up and top-down proteomics analyses, were applied to fully characterize the venom of V. a. senliki . Furthermore, the classical top-down venomics approach was extended to elucidate the venom proteome by an alternative in-source decay (ISD) proteomics workflow using the reducing matrix 1,5-diaminonaphthalene. Top-down ISD proteomics allows for disulfide bond counting and effective de novo sequencing-based identification of high-molecular-weight venom constituents, both of which are difficult to achieve by commonly established top-down approaches. Venom gland transcriptome analysis identified 96 toxin transcript annotations from 18 toxin families. Relative quantitative snake venomics revealed snake venom metalloproteinases (42.9%) as the most abundant protein family, followed by several less dominant toxin families. Online mass profiling and top-down venomics provide a detailed insight into the venom proteome of V. a. senliki and facilitate a comparative analysis of venom variability for the closely related subspecies, Vipera anatolica anatolica .
Methods and tools
- Anatolian meadow viper top-down ISD venomics: Extended top-down venomics workflow using in-source decay (ISD) with 1,5-diaminonaphthalene reducing matrix to enable disulfide-bond counting and de novo sequencing-based identification of high-molecular-weight venom constituents, applied to the newly described Vipera anatolica senliki.
Cites (6)
- SearchGUI: A Highly Adaptable Common Interface for Proteomics Search and de Novo Engines (2018) both
- A Review and Database of Snake Venom Proteomes (2017) both
- Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification? (2017) both
- Peptide de novo sequencing of mixture tandem mass spectra (2016) both
- DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra (2014) both
- Algorithms for de novo peptide sequencing using tandem mass spectrometry (2004) crossref