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Subtyping Botulinum Neurotoxins by Sequential Multiple Endoproteases In-gel Digestion Coupled with Mass Spectrometry
- Publication Year :
- 2012
-
Abstract
- Botulinum neurotoxin (BoNT) is one of the most toxic substances known. BoNT is classified into seven distinct serotypes labeled A through G. Among individual serotypes, researchers have identified subtypes based on amino acid variability within a serotype and toxin variants with minor amino acid sequence differences within a subtype. BoNT subtype identification is valuable for tracing and tracking bacterial pathogens. A proteomics approach is useful for BoNT subtyping since botulism is caused by botulinum neurotoxin and does not require the presence of the bacteria or its DNA. Enzymatic digestion and peptide identification using tandem mass spectrometry determines toxin protein sequences. But with the conventional one-step digestion method, producing sufficient numbers of detectable peptides to cover the entire protein sequence is difficult and incomplete sequence coverage results in uncertainty in distinguishing BoNT subtypes and toxin variants because of high sequence similarity. We report here a method of multiple enzymes and sequential in-gel digestion (MESID) to characterize the BoNT protein sequence. Complementary peptide detection from toxin digestions has yielded near-complete sequence coverage for all seven BoNT serotypes. Application of the method to a BoNT-contaminated carrot juice sample resulted in the identification of 98.4% protein sequence which led to a confident determination of the toxin subtype.
- Subjects :
- Proteomics
Botulinum Toxins
Molecular Sequence Data
Neurotoxins
Sequence alignment
Tandem mass spectrometry
medicine.disease_cause
Article
Analytical Chemistry
Protein sequencing
Tandem Mass Spectrometry
Endopeptidases
medicine
Clostridium botulinum
Botulism
Amino Acid Sequence
Peptide sequence
Guanidine
Chemistry
Toxin
medicine.disease
Subtyping
Molecular Typing
Biochemistry
Gels
Sequence Alignment
Chromatography, Liquid
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....e8b50e0db3af75d69072b1815a3b1fb7