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      Association between organic nitrogen substrates and the optical purity of d-lactic acid during the fermentation by Sporolactobacillus terrae SBT-1

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          Abstract

          The development of biotechnological lactic acid production has attracted attention to the potential production of an optically pure isomer of lactic acid, although the relationship between fermentation and the biosynthesis of highly optically pure d-lactic acid remains poorly understood. Sporolactobacillus terrae SBT-1 is an excellent d-lactic acid producer that depends on cultivation conditions. Herein, three enzymes responsible for synthesizing optically pure d-lactic acid, including d-lactate dehydrogenase (D-LDH; encoded by ldhDs), l-lactate dehydrogenase (L-LDH; encoded by ldhLs), and lactate racemase (Lar; encoded by larA), were quantified under different organic nitrogen sources and concentration to study the relationship between fermentation conditions and synthesis pathway of optically pure lactic acid. Different organic nitrogen sources and concentrations significantly affected the quantity and quality of d-lactic acid produced by strain SBT-1 as well as the synthetic optically pure lactic acid pathway. Yeast extract is a preferred organic nitrogen source for achieving high catalytic efficiency of d-lactate dehydrogenase and increasing the transcription level of ldhA2, indicating that this enzyme plays a major role in d-lactic acid formation in S. terrae SBT-1. Furthermore, lactate racemization activity could be regulated by the presence of d-lactic acid. The results of this study suggest that specific nutrient requirements are necessary to achieve a stable and highly productive fermentation process for the d-lactic acid of an individual strain.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            BRENDA, the ELIXIR core data resource in 2021: new developments and updates

            Abstract The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified enzymes, and the integration of newly discovered enzymes. The main part contains >5 million data for ∼90 000 enzymes from ∼13 000 organisms, manually extracted from ∼157 000 primary literature references, combined with information of text and data mining, data integration, and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, genome annotations, ligand information, taxonomic, bibliographic, and kinetic data. BRENDA offers an easy access to enzyme information from quick to advanced searches, text- and structured-based queries for enzyme-ligand interactions, word maps, and visualization of enzyme data. The BRENDA Pathway Maps are completely revised and updated for an enhanced interactive and intuitive usability. The new design of the Enzyme Summary Page provides an improved access to each individual enzyme. A new protein structure 3D viewer was integrated. The prediction of the intracellular localization of eukaryotic enzymes has been implemented. The new EnzymeDetector combines BRENDA enzyme annotations with protein and genome databases for the detection of eukaryotic and prokaryotic enzymes.
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              Factors affecting the fermentative lactic acid production from renewable resources(1).

              Parameters affecting the fermentative lactic acid (LA) production are summarized and discussed: microorganism, carbon- and nitrogen-source, fermentation mode, pH, and temperature. LA production is compared in terms of LA concentration, LA yield and LA productivity. Also by-product formation and LA isomery are discussed.
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                Author and article information

                Contributors
                Sitanan.T@chula.ac.th
                Nuttha.T@chula.ac.th
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 May 2024
                8 May 2024
                2024
                : 14
                : 10522
                Affiliations
                [1 ]Center of Excellence in Bioconversion and Bioseparation for Platform Chemical Production, Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, ( https://ror.org/028wp3y58) Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
                [2 ]Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, ( https://ror.org/028wp3y58) Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
                [3 ]Program in Biotechnology, Faculty of Science, Chulalongkorn University, ( https://ror.org/028wp3y58) Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
                [4 ]Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, ( https://ror.org/028wp3y58) Phayathai Road, Wangmai, Pathumwan, Bangkok, 10330 Thailand
                Article
                61247
                10.1038/s41598-024-61247-4
                11079031
                38719898
                79e46119-dcd6-4361-b7bc-8f7379e1ecca
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 September 2023
                : 3 May 2024
                Funding
                Funded by: Thailand Science research and Innovation Fund Chulalongkorn University
                Award ID: CU_FRB65_bcg(33)_209_61_01
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                sporolactobacillus terrae,d-lactic acid,optical purity,d-lactate dehydrogenase,lactate racemase,biochemistry,biotechnology,systems biology

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