Bt_2025v16n4

Bt Research 2025, Vol.16, No.4, 136-146 http://microbescipublisher.com/index.php/bt 145 Acknowledgements Thanks to the literature provided by the Institute of Life Sciences, Jiyang College, Zhejiang Agricultural and Forestry University for making the paper more complete. We also thank peer reviewers for their revision suggestions. Conflict of Interest Disclosure The authors confirm that the study was conducted without any commercial or financial relationships and could be interpreted as a potential conflict of interest. References Ahmad A., Javed M.R., Rao A.Q., Khan M.A., Ahad A., Din S., Shahid A., and Husnain T., 2015, In-silico determination of insecticidal potential of Vip3Aa-Cry1Ac fusion protein against lepidopteran targets using molecular docking, Frontiers in Plant Science, 6: 1081. https://doi.org/10.3389/fpls.2015.01081 Carroll L.M., Kovac J., Miller R.A., and Wiedmann M., 2017, Rapid high-throughput identification of anthrax-causing and emetic Bacillus cereus group genome assemblies via BTyper a computational tool for virulence-based classification of Bacillus cereus group isolates by using nucleotide sequencing data, Applied and Environmental Microbiology, 83(17): e01096-17. https://doi.org/10.1128/AEM.01096-17 Chelliah R., Wei S., Park B., Park J., Park Y., Kim S., Jin Y., and Oh D., 2019, New perspectives on Mega plasmid sequence (poh1) in Bacillus thuringiensis ATCC 10792 harbouring antimicrobial insecticidal and antibiotic resistance genes, Microbial Pathogenesis, 126: 14-18. https://doi.org/10.1016/j.micpath.2018.10.013 Chen H., Verplaetse E., Slamti L., and Lereclus D., 2022, Expression of the Bacillus thuringiensis vip3A insecticidal toxin gene is activated at the onset of stationary phase by VipR an autoregulated transcription factor, Microbiology Spectrum, 10(4): e01205-22. https://doi.org/10.1128/spectrum.01205-22 Deng Y., Su Y., Liu S., Guo Z., Cheng C., Ma H., Wu J., Feng J., and Chen C., 2018, Identification of a novel small RNA srvg23535 in Vibrio alginolyticus ZJ-T and its characterization with phenotype microarray technology, Frontiers in Microbiology, 9: 2394. https://doi.org/10.3389/fmicb.2018.02394 Fang Y., Li Z., Liu J., Shu C., Wang X., Zhang X., Yu X., Zhao D., Liu G., Hu S., Zhang J., Al-Mssallem I., and Yu J., 2011, A pangenomic study of Bacillus thuringiensis, Journal of Genetics and Genomics, 38(12): 567-576. https://doi.org/10.1016/j.jgg.2011.11.001 Gonçalves K., Appel R., Bôas L., Cardoso P., and Bôas G., 2021, Genomic insights into the diversity of non-coding RNAs in Bacillus cereus sensu lato, Current Genetics, 68: 449-466. https://doi.org/10.1007/s00294-022-01240-4 Hu X., Zhang X., Zhong J., Liu Y., Zhang C., Xie Y., Lin M., Xu C., Lu L., Zhu Q., and Liu X., 2018, Expression of Cry1Ac toxin-binding region in Plutella xyllostella cadherin-like receptor and studying their interaction mode by molecular docking and site-directed mutagenesis, International Journal of Biological Macromolecules, 111: 822-831. https://doi.org/10.1016/j.ijbiomac.2017.12.135 Jong A., Kuipers O., and Kok J., 2022, FUNAGE-Pro: comprehensive web server for gene set enrichment analysis of prokaryotes, Nucleic Acids Research, 50: W330-W336. https://doi.org/10.1093/nar/gkac441 Kumar P., Johnson J., McGowan T., Chambers M., Heydarian M., Mehta S., Easterly C., Griffin T., and Jagtap P., 2025, Discovering novel proteoforms using proteogenomic workflows within the galaxy bioinformatics platform, Methods in Molecular Biology, 2859: 109-128. https://doi.org/10.1007/978-1-0716-4152-1_7 Lavezzo E., Falda M., Fontana P., Bianco L., and Toppo S., 2016, Enhancing protein function prediction with taxonomic constraints--The Argot2.5 web server, Methods, 93: 15-23. https://doi.org/10.1016/j.ymeth.2015.08.021 Lechuga A., Lood C., Salas M., Van Noort V.V., Lavigne R., and Redrejo-Rodríguez M., 2020, The fully resolved genome of Bacillus thuringiensis HER1410 reveals a cry-containing chromosome two megaplasmids and an integrative Plasmidial prophage, bioRxiv, 2020. https://doi.org/10.1101/2020.05.05.080028 Liu H., Zheng J., Bo D., Yu Y., Ye W., Peng D., and Sun M., 2020, Bt toxin_digger: a comprehensive and high-throughput pipeline for mining toxin protein genes fromBacillus thuringiensis, bioRxiv, 38(1): 250-251. https://doi.org/10.1101/2020.05.26.114520 Liu X.M., and Zhang W., 2024, Bioinformatics in the age of big data: leveraging computational tools for biological discoveries, Computational Molecular Biology, 14(4): 173-181. https://doi.org/10.5376/cmb.2024.14.0020 Panneerselvam S., Mishra R., Berry C., Crickmore N., and Bonning B.C., 2022, BPPRC database: a web-based tool to access and analyse bacterial pesticidal proteins, Database: The Journal of Biological Databases and Curation, 2022: baac022. https://doi.org/10.1093/database/baac022

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