Characterization of Natural Therapeutic Compounds Producing Novel Bacterial Strains isolated from Hyderabad, India

Characterization of Natural Therapeutic Compounds Producing Novel Bacterial Strains isolated from Hyderabad, India | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Characterization of Natural Therapeutic Compounds Producing Novel Bacterial Strains isolated from Hyderabad, India Anushka Bhrdwaj, Anuraj Nayarisseri, Sanjeev Kumar Singh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4912929/v2 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Jul, 2025 Read the published version in Scientific Reports → Version 2 posted 16 You are reading this latest preprint version Show more versions Abstract Natural products (NPs), also known as secondary metabolites, have biological effects on organisms and other organisms. Among the microbial consortia, bacteria have been demonstrated to be potent microbial producers of bioactive natural therapeutic products due to their versatile biocatalytic activity. The present study encompasses the isolation, identification, and analysis of four novel bacterial strains that exhibited the potential to produce natural therapeutic products. The novel cadre of the isolates was determined via taxonomical assessment, employment of myriad biochemical, antagonistic screening tests, followed by 16S rRNA molecular characterization and bioinformatics analysis, which allowed the naming of the subsequent isolates as, Klebsiella pneumoniae strain ABSKALAB01, Klebsiella quasipneumonia strain ABSKSLAB02, Streptomyces minutiscleroticus strain ABSKSLAB03 and Streptomyces peucetius strain ABSKSLAB04 and sequences were deposited in NCBI- GenBank database with accession numbers ‘OP597532’, ‘OP597545’, ‘OQ061473’ and ‘PP086938’, respectively. Amongst all the bacterial strains, Streptomyces peucetius strain ABSKSLAB04 demonstrated the highest potential to exhibit antagonistic activity and produce natural therapeutic products. Further studies include optimization using the OVAT approach and statistical optimization by Plackett–Burman, RSM - Box–Behnken design, and Artificial Neural Networks. These techniques were conducted to assess the antagonistic and NP-producing potential of the bacterial strains This resulted in the ANN model being superior to the RSM model with augmented statistical metrics; R 2 – 92.23%, MSE – 0.0277 and RMSE – 0.1477, proving its high predicting and generalization ability. Furthermore, it was followed by constructing the secondary structure of 16S rRNA. Hence, the results conclude the augmented potential of subsequent bacterial strains, especially Streptomyces peucetius in the biotechnological paradigms, with high scalability in the pharmaceutical and industrial sectors. Biological sciences/Biological techniques Biological sciences/Biotechnology Biological sciences/Computational biology and bioinformatics Natural Therapeutic Product Producing bacteria Streptomyces peucetius 16S rRNA gene sequencing Plackett – Burman Design Box Behnken Design Artificial Neural Network Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterial1.docx SupplementaryMaterial2.docx SupplementaryMaterial3.docx SupplementaryMaterial4.docx Cite Share Download PDF Status: Published Journal Publication published 16 Jul, 2025 Read the published version in Scientific Reports → Version 2 posted Editorial decision: Revision requested 05 May, 2025 Reviews received at journal 30 Apr, 2025 Reviews received at journal 28 Apr, 2025 Reviews received at journal 21 Apr, 2025 Reviewers agreed at journal 13 Apr, 2025 Reviewers agreed at journal 11 Apr, 2025 Reviewers agreed at journal 10 Apr, 2025 Reviewers agreed at journal 10 Apr, 2025 Reviewers agreed at journal 10 Apr, 2025 Reviewers agreed at journal 09 Apr, 2025 Reviewers agreed at journal 09 Apr, 2025 Reviewers invited by journal 09 Apr, 2025 Editor invited by journal 03 Apr, 2025 Editor assigned by journal 25 Mar, 2025 Submission checks completed at journal 25 Mar, 2025 First submitted to journal 25 Mar, 2025 You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4912929","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[{"code":1,"date":"2024-09-16 21:20:28","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research 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Producing bacteria, Streptomyces peucetius, 16S rRNA gene sequencing, Plackett – Burman Design, Box Behnken Design, Artificial Neural Network","lastPublishedDoi":"10.21203/rs.3.rs-4912929/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4912929/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eNatural products (NPs), also known as secondary metabolites, have biological effects on organisms and other organisms. Among the microbial consortia, bacteria have been demonstrated to be potent microbial producers of bioactive natural therapeutic products due to their versatile biocatalytic activity. The present study encompasses the isolation, identification, and analysis of four novel bacterial strains that exhibited the potential to produce natural therapeutic products. The novel cadre of the isolates was determined via taxonomical assessment, employment of myriad biochemical, antagonistic screening tests, followed by 16S rRNA molecular characterization and bioinformatics analysis, which allowed the naming of the subsequent isolates as, \u003cem\u003eKlebsiella pneumoniae\u003c/em\u003e strain ABSKALAB01, \u003cem\u003eKlebsiella quasipneumonia\u003c/em\u003e strain ABSKSLAB02, \u003cem\u003eStreptomyces minutiscleroticus\u003c/em\u003e strain ABSKSLAB03 and \u003cem\u003eStreptomyces peucetius\u003c/em\u003e strain ABSKSLAB04 and sequences were deposited in NCBI- GenBank database with accession numbers \u0026lsquo;OP597532\u0026rsquo;, \u0026lsquo;OP597545\u0026rsquo;, \u0026lsquo;OQ061473\u0026rsquo; and \u0026lsquo;PP086938\u0026rsquo;, respectively. Amongst all the bacterial strains, \u003cem\u003eStreptomyces peucetius\u003c/em\u003e strain ABSKSLAB04 demonstrated the highest potential to exhibit antagonistic activity and produce natural therapeutic products. Further studies include optimization using the OVAT approach and statistical optimization by Plackett\u0026ndash;Burman, RSM - Box\u0026ndash;Behnken design, and Artificial Neural Networks. These techniques were conducted to assess the antagonistic and NP-producing potential of the bacterial strains This resulted in the ANN model being superior to the RSM model with augmented statistical metrics; \u003cem\u003eR\u003c/em\u003e\u003csup\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sup\u003e \u0026ndash; 92.23%, MSE \u0026ndash; 0.0277 and RMSE \u0026ndash; 0.1477, proving its high predicting and generalization ability. Furthermore, it was followed by constructing the secondary structure of 16S rRNA. 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