PXD071216

PXD071216 is an original dataset announced via ProteomeXchange.

Title	Profiling of Bacillus thuringiensis biopesticides: A high-resolution LC-MS/MS approach for subspecies identification and protein quantification
Description	The widespread use of Bacillus thuringiensis (Bt)- based biopesticides in organic farming presents challenges for food diagnostics due to the genetic similarity between Bt and the pathogenic Bacillus cereus as well as the lack of data on the insecticidal protein concentrations in treated food samples. To address these issues, a liquid-chromatography – high-resolution tandem mass spectrometry – parallel reaction monitoring (LC-HR-MS/MS-PRM) method was developed for the identification and absolute quantification of insecticidal crystal proteins from Bt subspecies kurstaki, aizawai, and israelensis. Marker peptides were selected based on untargeted data-independent acquisition (DIA) analyses and validated for subspecies differentiation and quantification using stable isotope-labeled (SIL) standards. The method demonstrated high sensitivity (LOD and LOQ in the ng/g range), repeatability precision, and selectivity across various sample matrices. Application to basil plants treated with commercial Bt products confirmed accurate subspecies identification and quantification of crystal protein expression under realistic conditions. This approach enables reliable verification and differentiation of Bt subspecies, supports product quality control, and contributes to environmental safety assessments by providing quantitative data on Bt crystal proteins in food samples. By verifying the presence of declared subspecies and quantifying insecticidal protein content, this method contributes to regulatory compliance and risk evaluation. It offers a robust analytical tool for food safety diagnostics and biopesticide monitoring, addressing key limitations of current approaches.
HostingRepository	PanoramaPublic
AnnounceDate	2026-08-27
AnnouncementXML	Submission_2026-08-27_18:33:52.707.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	supported by repository but incomplete data and/or metadata
PrimarySubmitter	Sara Schlachter
SpeciesList	scientific name: Bacillus thuringiensis serovar aizawai; NCBI TaxID: 1433; scientific name: Bacillus thuringiensis serovar kurstaki; NCBI TaxID: 29339; scientific name: Bacillus thuringiensis; NCBI TaxID: 1428; scientific name: Bacillus thuringiensis serovar israelensis; NCBI TaxID: 1430;
ModificationList	Carbamidomethyl; Label:13C(6)15N(2); Label:13C(6)15N(4)
Instrument	Xevo G2-XS QTof; ACQUITY UPLC H-Class

Revision	Datetime	Status	ChangeLog Entry
0	2025-11-25 14:23:37	ID requested
⏵ 1	2026-08-27 18:33:53	announced

Schlachter S, Stessl B, Ludewig M, Reiter E, Strnad I, Rampler E, D'Amico S, Biopesticides: A High-Resolution LC-MS/MS Approach for Subspecies Identification and Protein Quantification. J Agric Food Chem, 74(27):21589-21599(2026) [pubmed]

submitter keyword: Bacillus thuringiensis, proteomics, insecticidal proteins, HR-LC-MS/MS, parallel reaction monitoring

Elisabeth Reiter
contact affiliation	AGES
contact email	elisabeth.reiter@ages.at
lab head
Sara Schlachter
contact affiliation	AGES
contact email	sara-sofie.schlachter@ages.at
dataset submitter

Panorama Public dataset URI