Literature DB >> 16157361

Mitochondrial DNA sequences from dried snake venom: a DNA barcoding approach to the identification of venom samples.

C E Pook1, R McEwing.   

Abstract

Outdated nomenclature and incorrect taxonomic characterisation of snake venoms in the current toxinological literature have serious implications for the replicability of results from snake venom toxin research. The situation has not improved, despite attempts to supply toxinologists with regular updates on snake systematics. Here, we demonstrate the successful extraction of DNA, and subsequent sequencing of the mitochondrial 12S gene, from dried snake venoms. This approach offers a new and potentially straightforward method for accurate species identification. Mitochondrial DNA (mtDNA) sequences isolated from snake venom can be used to clarify or validate snake species identification through comparison against existing sequences in the GenBank database, and through phylogenetic analyses with other sequences. Pooled venoms can also be screened a priori for the presence of multiple species, and the species names on the labels of commercial venoms verified. Moreover, if the species from which the venom sample has been taken is known, and the specimen is available as a voucher, the mtDNA sequence of the haplotype isolated from that species venom sample could serve as a sequence standard (or 'DNA barcode') for that species. Our new method of DNA barcoding venoms ensures the identification of venoms even after future taxonomic changes.

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Year:  2005        PMID: 16157361     DOI: 10.1016/j.toxicon.2005.07.005

Source DB:  PubMed          Journal:  Toxicon        ISSN: 0041-0101            Impact factor:   3.033


  10 in total

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Journal:  J Biosci       Date:  2011-06       Impact factor: 1.826

2.  Comparative Snake Venom Analysis for Facilitating Wildlife Forensics: A Pilot Study.

Authors:  Saurabh Bhargava; Kiran Kumari; Rajendra Kumar Sarin; Rajvinder Singh
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Review 3.  Diagnosis of snakebite and the importance of immunological tests in venom research.

Authors:  R David G Theakston; Gavin D Laing
Journal:  Toxins (Basel)       Date:  2014-05-23       Impact factor: 4.546

4.  Use of Molecular Diagnostic Tools for the Identification of Species Responsible for Snakebite in Nepal: A Pilot Study.

Authors:  Sanjib Kumar Sharma; Ulrich Kuch; Patrick Höde; Laura Bruhse; Deb P Pandey; Anup Ghimire; François Chappuis; Emilie Alirol
Journal:  PLoS Negl Trop Dis       Date:  2016-04-22

5.  Transcriptome profiling of venom gland from wasp species: de novo assembly, functional annotation, and discovery of molecular markers.

Authors:  Junjie Tan; Wenbo Wang; Fan Wu; Yunming Li; Quanshui Fan
Journal:  BMC Genomics       Date:  2020-06-24       Impact factor: 3.969

6.  The venom gland transcriptome of the Desert Massasauga rattlesnake (Sistrurus catenatus edwardsii): towards an understanding of venom composition among advanced snakes (Superfamily Colubroidea).

Authors:  Susanta Pahari; Stephen P Mackessy; R Manjunatha Kini
Journal:  BMC Mol Biol       Date:  2007-12-20       Impact factor: 2.946

7.  Single mitochondrial gene barcodes reliably identify sister-species in diverse clades of birds.

Authors:  Erika S Tavares; Allan J Baker
Journal:  BMC Evol Biol       Date:  2008-03-09       Impact factor: 3.260

8.  Stabilising the Integrity of Snake Venom mRNA Stored under Tropical Field Conditions Expands Research Horizons.

Authors:  Gareth Whiteley; Rhiannon A E Logan; Kam-Yin D Leung; Fiona J Newberry; Paul D Rowley; John P Dunbar; Simon C Wagstaff; Nicholas R Casewell; Robert A Harrison
Journal:  PLoS Negl Trop Dis       Date:  2016-06-09

9.  Full-Length Venom Protein cDNA Sequences from Venom-Derived mRNA: Exploring Compositional Variation and Adaptive Multigene Evolution.

Authors:  Cassandra M Modahl; Stephen P Mackessy
Journal:  PLoS Negl Trop Dis       Date:  2016-06-09

10.  Species identification through mitochondrial rRNA genetic analysis.

Authors:  Li Yang; Zongqing Tan; Daren Wang; Ling Xue; Min-Xin Guan; Taosheng Huang; Ronghua Li
Journal:  Sci Rep       Date:  2014-02-13       Impact factor: 4.379

  10 in total

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