{"database":"panorama","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Sara Schlachter"],"species":["Bacillus Thuringiensis Serovar Kurstaki","Bacillus Thuringiensis","Bacillus Thuringiensis Serovar Aizawai","Bacillus Thuringiensis Serovar Israelensis"],"full_dataset_link":["https://panoramaweb.org/0xo4kt.url"],"submitter_affiliation":["AGES"],"submitter_email":["sara-sofie.schlachter@ages.at"],"sample_protocol":[""],"repository":["PanoramaPublic"],"data_protocol":[""],"pubmed_abstract":["The widespread use of <i>Bacillus thuringiensis</i> (<i>Bt</i>)-based biopesticides in organic farming presents challenges for limited data on insecticidal protein concentrations in treated samples and the environment after the application of <i>Bt</i> biopesticides. To address this, an LC-HR-MS/MS-PRM method for the identification and quantification of crystal proteins from <i>Bt</i> subspecies <i>kurstaki</i>, <i>aizawai</i>, and <i>israelensis</i> was developed. Marker peptides were selected based on untargeted analyses and validated for subspecies differentiation and quantification using stable-isotope-labeled (SIL) standards. The method demonstrated high sensitivity (ng/g range), repeatability precision, and selectivity across various matrices. Application to basil plants treated with <i>Bt</i> biopesticides confirmed accurate subspecies identification and protein quantification. This approach supports product quality control and environmental safety by providing qualitative and quantitative data on <i>Bt</i> toxins in treated samples depending on the applied <i>Bt</i> biopesticide. It offers a robust analytical tool that addresses key limitations of current approaches."],"pubmed_title":["Profiling of &lt;i&gt;Bacillus thuringiensis&lt;/i&gt; Biopesticides: A High-Resolution LC-MS/MS Approach for Subspecies Identification and Protein Quantification."],"pubmed_authors":["Schlachter Sara S, Stessl Beatrix B, Ludewig Martina M, Reiter Elisabeth E, Strnad Irmengard I, Rampler Evelyn E, D'Amico Stefano S"],"additional_accession":[]},"is_claimable":false,"name":"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.","dates":{"publication":"Thu Aug 27 00:00:00 GMT+01:00 2026"},"accession":"PXD071216","cross_references":{"TAXONOMY":["1433","1430","29339","1428"],"pubmed":["42383924"]}}