Oldrati Vera, Koua Dominique, Allard Pierre-Marie, Hulo Nicolas, Arrell Miriam, Nentwig Wolfgang, Lisacek Frédérique, Wolfender Jean-Luc, Kuhn-Nentwig Lucia, Stöcklin Reto
Atheris SA, Chemin d'Alcire 1, Plan-les-Ouates, Geneva, Switzerland.
School of Pharmaceutical Sciences, EPGL, University of Geneva, University of Lausanne, 1, Rue Michel-Servet, Geneva 4, Switzerland.
PLoS One. 2017 Mar 17;12(3):e0172966. doi: 10.1371/journal.pone.0172966. eCollection 2017.
Venom based research is exploited to find novel candidates for the development of innovative pharmacological tools, drug candidates and new ingredients for cosmetic and agrochemical industries. Moreover, venomics, as a well-established approach in systems biology, helps to elucidate the genetic mechanisms of the production of such a great molecular biodiversity. Today the advances made in the proteomics, transcriptomics and bioinformatics fields, favor venomics, allowing the in depth study of complex matrices and the elucidation even of minor compounds present in minute biological samples. The present study illustrates a rapid and efficient method developed for the elucidation of venom composition based on NextGen mRNA sequencing of venom glands and LC-MS/MS venom proteome profiling. The analysis of the comprehensive data obtained was focused on cysteine rich peptide toxins from four spider species originating from phylogenetically distant families for comparison purposes. The studied species were Heteropoda davidbowie (Sparassidae), Poecilotheria formosa (Theraphosidae), Viridasius fasciatus (Viridasiidae) and Latrodectus mactans (Theridiidae). This led to a high resolution profiling of 284 characterized cysteine rich peptides, 111 of which belong to the Inhibitor Cysteine Knot (ICK) structural motif. The analysis of H. davidbowie venom revealed a high richness in term of venom diversity: 95 peptide sequences were identified; out of these, 32 peptides presented the ICK structural motif and could be classified in six distinct families. The profiling of P. formosa venom highlighted the presence of 126 peptide sequences, with 52 ICK toxins belonging to three structural distinct families. V. fasciatus venom was shown to contain 49 peptide sequences, out of which 22 presented the ICK structural motif and were attributed to five families. The venom of L. mactans, until now studied for its large neurotoxins (Latrotoxins), revealed the presence of 14 cysteine rich peptides, out of which five were ICK toxins belonging to the CSTX superfamily. This in depth profiling of distinct ICK peptide families identified across the four spider species highlighted the high conservation of these neurotoxins among spider families.
基于毒液的研究被用于寻找新型候选物,以开发创新的药理学工具、药物候选物以及化妆品和农用化学品行业的新成分。此外,毒液组学作为系统生物学中一种成熟的方法,有助于阐明产生如此丰富分子多样性的遗传机制。如今,蛋白质组学、转录组学和生物信息学领域取得的进展有利于毒液组学,使得能够深入研究复杂基质,甚至阐明微量生物样品中存在的微量化合物。本研究阐述了一种基于毒腺的新一代mRNA测序和LC-MS/MS毒液蛋白质组分析开发的快速高效的毒液成分解析方法。为了进行比较,对来自系统发育关系较远的四个蜘蛛科的四种蜘蛛的富含半胱氨酸的肽毒素进行了综合数据分析。所研究的物种为大卫异蛛(巨蟹蛛科)、美丽孔雀蜘蛛(捕鸟蛛科)、带纹绿蛛(绿蛛科)和间斑寇蛛(球蛛科)。这导致了对284种已鉴定的富含半胱氨酸的肽进行了高分辨率分析,其中111种属于抑制性半胱氨酸结(ICK)结构基序。对大卫异蛛毒液的分析显示其毒液多样性丰富:鉴定出95个肽序列;其中32个肽呈现ICK结构基序,可分为六个不同的家族。美丽孔雀蜘蛛毒液分析突出显示存在126个肽序列,其中52种ICK毒素属于三个结构不同的家族。带纹绿蛛毒液显示含有49个肽序列,其中22个呈现ICK结构基序,归为五个家族。间斑寇蛛的毒液,此前因其大神经毒素(黑寡妇毒素)而被研究,显示存在14个富含半胱氨酸的肽,其中5个是属于CSTX超家族的ICK毒素。对这四种蜘蛛中鉴定出的不同ICK肽家族的深入分析突出显示了这些神经毒素在蜘蛛科之间的高度保守性。