ArticlePloS one2015
Comparative analysis of genomics and proteomics in Bacillus thuringiensis 4.0718.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integrated genomic and proteomic analysis of local Bacillus thuringiensis isolates for targeted insect pest control and functional insight.Archives of microbiology · 2025Article
- Taxonomic refinement ofFrontiers in microbiology · 2025Article
- Genomic-proteomic analysis of a novel Bacillus thuringiensis strain: toxicity against two lepidopteran pests, abundance of Cry1Ac5 toxin, and presence of InhA1 virulence factor.Archives of microbiology · 2023Article
- The Distribution of Several Genomic Virulence Determinants Does Not Corroborate the Established Serotyping Classification ofInternational journal of molecular sciences · 2021Article
- Genomics and Proteomics Analyses Revealed Novel Candidate Pesticidal Proteins in a Lepidopteran-ToxicToxins · 2020Article
- Construction of a Conditionally AsporogenousFrontiers in microbiology · 2020Article
- Characterization and Whole Genome Sequencing of AR23, a Highly Toxic Bacillus thuringiensis Strain Isolated from Lebanese Soil.Current microbiology · 2019Article
- Role ofFrontiers in microbiology · 2019Article
- Article
- Pool deconvolution approach for high-throughput gene mining from Bacillus thuringiensis.Applied microbiology and biotechnology · 2018Article
- Comparative Analysis of Genomics and Proteomics in the New Isolated Bacillus thuringiensis X022 Revealed the Metabolic Regulation Mechanism of Carbon Flux Following Cu(2+) Treatment.Frontiers in microbiology · 2016Article
- Proteomic analysis of the influence of Cu(2+) on the crystal protein production of Bacillus thuringiensis X022.Microbial cell factories · 2015Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacillus thuringiensis is a widely used biopesticide that produced various insecticidal active substances during its life cycle. Separation and purification of numerous insecticide active substances have been difficult because of the relatively short half-life of such substances. On the other hand, substances can be synthetized at different times during development, so samples at different stages have to be studied, further complicating the analysis. A dual genomic and proteomic approach would enhance our ability to identify such substances, and particularily using mass spectrometry-based proteomic methods. The comparative analysis for genomic and proteomic data have showed that not all of the products deduced from the annotated genome could be identified among the proteomic data. For instance, genome annotation results showed that 39 coding sequences in the whole genome were related to insect pathogenicity, including five cry genes. However, Cry2Ab, Cry1Ia, Cytotoxin K, Bacteriocin, Exoenzyme C3 and Alveolysin could not be detected in the proteomic data obtained. The sporulation-related proteins were also compared analysis, results showed that the great majority sporulation-related proteins can be detected by mass spectrometry. This analysis revealed Spo0A~P, SigF, SigE(+), SigK(+) and SigG(+), all known to play an important role in the process of spore formation regulatory network, also were displayed in the proteomic data. Through the comparison of the two data sets, it was possible to infer that some genes were silenced or were expressed at very low levels. For instance, found that cry2Ab seems to lack a functional promoter while cry1Ia may not be expressed due to the presence of transposons. With this comparative study a relatively complete database can be constructed and used to transform hereditary material, thereby prompting the high expression of toxic proteins. A theoretical basis is provided for constructing highly virulent engineered bacteria and for promoting the application of proteogenomics in the life sciences.
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