Abstract
Anoxygenic photosynthetic bacteria (APB) are metabolically versatile, capable of surviving with an extended range of carbon and nitrogen sources. This group of phototrophic bacteria have remarkable metabolic plasticity in utilizing an array of organic compounds as carbon source/electron donors and nitrogen sources with sophisticated growth modes. Rubrivivax benzoatilyticus JA2 is one such photosynthetic bacterium utilizes L-tryptophan as nitrogen source under phototrophic growth mode and produces an array of indolic compounds of biotechnological significance. However, chemotrophic L-tryptophan metabolism is largely unexplored and studying L-tryptophan metabolism under chemotrophic mode would provide new insights into metabolic potential of strain JA2. In the present study, we employed stable-isotopes assisted metabolite profiling to unravel the L-tryptophan catabolism in Rubrivivax benzoatilyticus strain JA2 under chemotrophic (dark aerobic) conditions. Utilization of L-tryptophan as a nitrogen source for growth and simultaneous production of indole derivatives was observed in strain JA2. Liquid chromatography mass spectrometry (LC–MS) analysis of exo-metabolite profiling of carbon labeled L-tryptophan (13C11) fed cultures of strain JA2 revealed at least seventy labeled metabolites. Of these, only fourteen metabolites were confirmed using standards, while sixteen were putative and forty metabolites remained unidentified. L-tryptophan chemotrophic catabolism revealed multiple catabolic pathways and distinct differential catabolism of L-tryptophan under chemotropic state as compared to photo-catabolism of L-tryptophan in strain JA2.
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Data availability
The datasets generated during the current study are available from the corresponding author on reasonable request.
References
Ahmad S, Mohammed M, Mekala LP, Chintalapati S, Chintalapati VR (2020) Tryptophan, a non-canonical melanin precursor: new L-tryptophan based melanin production by Rubrivivax benzoatilyticus JA2. Sci Rep 10(1):8925. https://doi.org/10.1038/s41598-020-65803-6
Alkhalaf LM, Ryan KS (2015) Biosynthetic manipulation of tryptophan in bacteria: pathways and mechanisms. Chem Biol 22(3):317–328. https://doi.org/10.1016/j.chembiol
Baral B, Akhgari A, Metsä-Ketelä M (2018) Activation of microbial secondary metabolic pathways: avenues and challenges. Synth Syst Biotechnol 3(3):163–178. https://doi.org/10.1016/j.synbio.2018.09.001
Biz A, Proulx S, Xu Z, Siddartha K, Mulet Indrayanti A, Mahadevan R (2019) Systems biology based metabolic engineering for non-natural chemicals. Biotechnol Adv 37(6):107379. https://doi.org/10.1016/j.biotechadv.2019.04.001
Breitling R, Vitkup D, Barrett MP (2008) New surveyor tools for charting microbial metabolic maps. Nat Rev Microbiol 6(2):156–161. https://doi.org/10.1038/nrmicro1797
Chubukov V, Gerosa L, Kochanowski K, Sauer U (2014) Coordination of microbial metabolism. Nat Rev Microbiol 12(5):327–340
Dang H, Klotz MG, Lovell CR, Editorial SSM (2019) The responses of marine microorganisms, communities and ecofunctions to environmental gradients. Front Microbiol 10:115. https://doi.org/10.3389/fmicb.2019.00115
Dauner M, Bailey JE, Sauer U (2001) Metabolic flux analysis with a comprehensive isotopomer model in Bacillus subtilis. Biotechnol Bioeng 76(2):144–156. https://doi.org/10.1002/bit.1154
Dehhaghi M, Kazemi Shariat Panahi H, Guillemin GJ (2019) Microorganisms, tryptophan metabolism, and kynurenine pathway: a complex interconnected loop influencing human health status. Int J Tryptophan Res. https://doi.org/10.1177/1178646919852996
Dodd D, Spitzer MH, Van Treuren W, Merrill BD, Hryckowian AJ, Higginbottom SK, Le A, Cowan TM, Nolan GP, Fischbach MA, Sonnenburg JL (2017) A gut bacterial pathway metabolizes aromatic amino acids into nine circulating metabolites. Nature 551(7682):648–652. https://doi.org/10.1038/nature24661
Elsden SR, Hilton MG, Waller JM (1976) The end products of the metabolism of aromatic amino acids by Clostridia. Arch Microbiol 107(3):283–288. https://doi.org/10.1007/BF00425340
Feng YG, P., Caporaso, J. G., Zhang, H., Lin, X., Knight, R., Chu, H. (2014) pH is a good predictor of the distribution of anoxygenic purple phototrophic bacteria in Arctic soils. Soil Biol Biochem 74(2):193–200. https://doi.org/10.1016/j.soilbio
Fischer E, Sauer U (2003) Metabolic flux profiling of Escherichia coli mutants in central carbon metabolism using GC-MS. Eur J Biochem 270(5):880–891. https://doi.org/10.1046/j.1432-1033.2003.03448.x
Garbe TR, Kobayashi M, Yukawa H (2000) Indole-inducible proteins in bacteria suggest membrane and oxidant toxicity. Arch Microbiol 173(1):78–82. https://doi.org/10.1007/s002030050012
Gibbons SM, Jones E, Bearquiver A, Blackwolf F, Roundstone W, Scott N, Hooker J, Madsen R, Coleman ML, Gilbert JA (2014) Human and environmental impacts on river sediment microbial communities. PLoS ONE 9(5):e97435
Gordon SA, Weber RP (1951) Colorimetric estimation of indole acetic acid. Plant Physiol 26:192–195
Gu C, Kim GB, Kim WJ, Kim HU, Lee SY (2019) Current status and applications of genome-scale metabolic models. Genome Biol 20(1):121. https://doi.org/10.1186/s13059-019-1730-3
Hadadi N, Pandey V, Chiappino-Pepe A, Morales M, Gallart-Ayala H, Mehl F, Ivanisevic J, Sentchilo V, Meer JRV (2020) Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models. NPJ Syst Biol Appl 6(1):1. https://doi.org/10.1038/s41540-019-0121-4
Jamialahmadi O, Hashemi-Najafabadi S, Motamedian E, Romeo S, Bagheri F (2019) A benchmark-driven approach to reconstruct metabolic networks for studying cancer metabolism. PLoS Comput Biol 15(4):1006936. https://doi.org/10.1371/journal.pcbi.1006936
Kim J, Park W (2015) Indole: a signaling molecule or a mere metabolic byproduct that alters bacterial physiology at a high concentration? J Microbiol 53(7):421–428. https://doi.org/10.1007/s12275-015-5273-3
Kim J, Hong H, Heo A, Park W (2013) Indole toxicity involves the inhibition of adenosine triphosphate production and protein folding in Pseudomonas putida. FEMS Microbiol Lett 343(1):89–99. https://doi.org/10.1111/1574-6968.12135
Kim B, Kim WJ, Kim DI, Lee SY (2015) Applications of genome-scale metabolic network model in metabolic engineering. J Ind Microbiol Biotechnol 42(3):339–348. https://doi.org/10.1007/s10295-014-1554-9
Klitgord N, Segrè D (2011) Ecosystems biology of microbial metabolism. Curr Opin Biotechnol 22(4):541–546. https://doi.org/10.1038/nature11234
Kluger B, Bueschl C, Neumann N, Stückler R, Doppler M, Chassy AW, Waterhouse AL, Rechthaler J, Kampleitner N, Thallinger GG, Adam G, Krska R, Schuhmacher R (2014) Untargeted profiling of tracer-derived metabolites using stable isotopic labeling and fast polarity-switching LC-ESI-HRMS. Anal Chem 86(23):11533–11537. https://doi.org/10.1021/ac503290j
Kumavath RN, Ramana ChV, Sasikala Ch (2010) L-Tryptophan catabolism by Rubrivivax benzoatilyticus JA2 occurs through indole 3-pyruvic acid pathway. Biodegradation 21(5):825–832. https://doi.org/10.1007/s10532-010-9347-y
Kurnasov O, Jablonski L, Polanuyer B, Dorrestein P, Begley T, Osterman A (2003) Aerobic tryptophan degradation pathway in bacteria: novel kynurenine formamidase. FEMS Microbiol Lett 227(2):219–227. https://doi.org/10.1128/JB.00379-11
Larimer FW, Chain P, Hauser L, Lamerdin J, Malfatti S, Do L, Land ML, Pelletier DA, Beatty JT, Lang AS, Tabita FR, Gibson JL, Hanson TE, Bobst C, Torres JL, Peres C, Harrison FH, Gibson J, Harwood CS (2004) Complete genome sequence of the metabolically versatile photosynthetic bacterium Rhodopseudomonas palustris. Nat Biotechnol 22(1):55–61. https://doi.org/10.1038/nbt923
Liu Y, Hou Y, Wang G, Zheng X, Hao H (2020) Gut microbial metabolites of aromatic amino acids as signals in host-microbe interplay. Trends Endocrinol Metab 31(11):818–834. https://doi.org/10.1016/j.tem
Ma Q, Zhang X, Qu Y (2018) Biodegradation and biotransformation of indole: advances and perspectives. Front Microbiol 1(9):2625. https://doi.org/10.3389/fmicb.2018.02625
Mardinoglu A, Gatto F, Nielsen J (2013) Genome-scale modeling of human metabolism–a systems biology approach. Biotechnol J 8(9):985–996. https://doi.org/10.1002/biot.201200275
Mekala LP, Mohammed M, Chintalapati S, Chintalapati VR (2018) Stable isotope-assisted metabolic profiling reveals growth mode dependent differential metabolism and multiple catabolic pathways of L-phenylalanine in Rubrivivax benzoatilyticus JA2. J Proteome Res 17(1):189–202. https://doi.org/10.1021/acs.jproteome
Mekala LP, Mohammed M, Chintalapati S, Chintalapati VR (2019a) Precursor-feeding and altered- growth conditions reveal novel blue pigment production by Rubrivivax benzoatilyticus JA2. Biotechnol Lett 41(6–7):813–822. https://doi.org/10.1007/s10529-019-02682-6
Mekala LP, Mohammed M, Chinthalapati S, Chinthalapati VR (2019b) Pyomelanin production: insights into the incomplete aerobic l-phenylalanine catabolism of a photosynthetic bacterium, Rubrivivax benzoatilyticus JA2. Int J Biol Macromol 126:755–764. https://doi.org/10.1016/j.ijbiomac
Mohammed M, Isukapatla A, Mekala LP, Eedara Veera Venkata RP, Chintalapati S, Chintalapati VR (2011) Genome sequence of the phototrophic betaproteobacterium Rubrivivax benzoatilyticus strain JA2T. J Bacteriol 193(11):2898–2899. https://doi.org/10.1128/JB.00379-11
Mohammed M, Mekala LP, Chintalapati S, Chintalapati VR (2020) New insights into aniline toxicity: aniline exposure triggers envelope stress and extracellular polymeric substance formation in Rubrivivax benzoatilyticus JA2. J Hazard Mater 385:121571. https://doi.org/10.1016/j.jhazmat
Mujahid M, Sasikala Ch, Ramana ChV (2010) Aniline-induced tryptophan production and identification of indole derivatives from three purple bacteria. Curr Microbiol 61(4):285–290. https://doi.org/10.1007/s00284-010-9609-2
Mujahid M, Sasikala Ch, Ramana ChV (2011) Production of indole-3-acetic acid and related indole derivatives from L-tryptophan by Rubrivivax benzoatilyticus JA2. Appl Microbiol Biotechnol 89(4):1001–1008. https://doi.org/10.1007/s00253-010-2951-2
Mujahid M, Prasuna ML, Sasikala Ch, Ramana ChV (2015) Integrated metabolomic and proteomic analysis reveals systemic responses of Rubrivivax benzoatilyticus JA2 to aniline stress. J Proteome Res 14(2):711–727
Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W, Pettersson S (2012) Host-gut microbiota metabolic interactions. Science 336(6086):1262–1267. https://doi.org/10.1126/science.1223813
Nikel PI, Chavarría M, Fuhrer T, Sauer U, de Lorenzo V (2015) Pseudomonas putida KT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff, Embden-Meyerhof-Parnas, and pentose phosphate pathways. J Biol Chem 290(43):25920–25932. https://doi.org/10.1074/jbc.M115.687749
Otwell AE, García L, de Lomana A, Gibbons SM, Orellana MV, Baliga NS (2018) Systems biology approaches towards predictive microbial ecology. Environ Microbiol 20(12):4197–4209. https://doi.org/10.1111/1462-2920.14378
Phelan VV, Liu WT, Pogliano K, Dorrestein PC (2011) Microbial metabolic exchange-the chemotype-to-phenotype link. Nat Chem Biol 8(1):26–35. https://doi.org/10.1038/nchembio.739
Prasuna ML, Mujahid M, Sasikala Ch, Ramana ChV (2012) L-Phenylalanine catabolism and L-phenyllactic acid production by a phototrophic bacterium, Rubrivivax benzoatilyticus JA2. Microbiol Res 167(9):526–531. https://doi.org/10.1016/j.micres.2012.03.001
Prosser GA, Larrouy-Maumus G, de Carvalho LP (2014) Metabolomic strategies for the identification of new enzyme functions and metabolic pathways. EMBO Rep 15(6):657–669. https://doi.org/10.15252/embr.201338283
Ramon C, Gollub MG, Stelling J (2018) Integrating -omics data into genome-scale metabolic network models: principles and challenges. Essays Biochem 62(4):563–574. https://doi.org/10.1042/EBC20180011
Ryu JY, Kim HU, Lee SY (2015) Reconstruction of genome-scale human metabolic models using omics data. Integr Biol (camb) 7(8):859–868. https://doi.org/10.1039/c5ib00002e
Sekurova ON, Schneider O, Zotchev SB (2019) Novel bioactive natural products from bacteria via bioprospecting, genome mining and metabolic engineering. Microb Biotechnol 12(5):828–844. https://doi.org/10.1111/1751-7915.13398
Sévin DC, Fuhrer T, Zamboni N, Sauer U (2017) Nontargeted in vitro metabolomics for high-throughput identification of novel enzymes in Escherichia coli. Nat Methods 14(2):187–194. https://doi.org/10.1038/nmeth.4103
Sohn JI, Nam JW (2018) The present and future of de novo whole-genome assembly. Brief Bioinform 19(1):23–40. https://doi.org/10.1093/bib/bbw096
Srivastava A, Kowalski GM, Callahan DL, Meikle PJ, Creek DJ (2016) Strategies for extending metabolomics studies with stable isotope labelling and fluxomics. Metabolites 6(4):32. https://doi.org/10.3390/metabo6040032
Stingl U (2018) Response of microbial communities to environmental changes. Microorganisms 6(2):29. https://doi.org/10.1038/s41579-019-0256-8
Zhao S, Kumar R, Sakai A, Vetting MW, Wood BM, Brown S, Bonanno JB, Hillerich BS, Seidel RD, Babbitt PC, Almo SC, Sweedler JV, Gerlt JA, Cronan JE, Jacobson MP (2013) Discovery of new enzymes and metabolic pathways by using structure and genome context. Nature 502(7473):698–702. https://doi.org/10.1038/nature12576
Acknowledgements
Shabbir Ahmad acknowledges the University Grand Commission, Govt. of India for UGC-MANF (JRF/SRF) fellowship (File No. F1-17.1/201415/MANF-2014-15-MUS-JHA-35979).
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Dr. Ramana thank the Department of Biotechnology and CSIR, Government of India for the award of TATA Innovation fellowship and project funding, respectively.
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SA, LPM, MM, and VRC, conceived and designed the research. SA performed the experiments. SA, LPM, MM, and VRC, discussed and analyzed the data. SA, MM, and MLP, drafted the manuscript. SA, MM, MLP, AR, VRC, and SC, edited the manuscript. All authors have read and approved the manuscript.
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Ahmad, S., Mohammed, M., Mekala, L.P. et al. Stable isotope-assisted metabolite profiling reveals new insights into L-tryptophan chemotrophic metabolism of Rubrivivax benzoatilyticus. World J Microbiol Biotechnol 39, 98 (2023). https://doi.org/10.1007/s11274-023-03537-z
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DOI: https://doi.org/10.1007/s11274-023-03537-z