Metabolic Implications of Using BioOrthogonal Non-Canonical Amino Acid Tagging (BONCAT) for Tracking Protein Synthesis

被引:29
作者
Steward, Katherine F. [1 ]
Eilers, Brian [1 ]
Tripet, Brian [1 ]
Fuchs, Amanda [1 ]
Dorle, Michael [1 ]
Rawle, Rachel [1 ]
Soriano, Berliza [1 ]
Balasubramanian, Narayanaganesh [1 ]
Copie, Valerie [1 ,2 ]
Bothner, Brian [1 ,2 ]
Hatzenpichler, Roland [1 ,2 ,3 ]
机构
[1] Montana State Univ, Dept Chem & Biochem, Bozeman, MT 59717 USA
[2] Montana State Univ, Thermal Biol Inst, Bozeman, MT 59717 USA
[3] Montana State Univ, Ctr Biofilm Engn, Bozeman, MT 59717 USA
来源
FRONTIERS IN MICROBIOLOGY | 2020年 / 11卷
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
metabolomics; BONCAT; non-canonical amino acids; L-azidohomoalanine; L-homopropargylglycine; RESOLVED PROTEOMIC ANALYSIS; ESCHERICHIA-COLI; IDENTIFICATION;
D O I
10.3389/fmicb.2020.00197
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
BioOrthogonal Non-Canonical Amino acid Tagging (BONCAT) is a powerful tool for tracking protein synthesis on the level of single cells within communities and whole organisms. A basic premise of BONCAT is that the non-canonical amino acids (NCAA) used to track translational activity do not significantly alter cellular physiology. If the NCAA would induce changes in the metabolic state of cells, interpretation of BONCAT studies could be challenging. To address this knowledge-gap, we have used a global metabolomics analyses to assess the intracellular effects of NCAA incorporation. Two NCAA were tested: L-azidohomoalanine (AHA) and L-homopropargylglycine (HPG); L-methionine (MET) was used as a minimal stress baseline control. Liquid Chromatography Mass Spectrometry (LC-MS) and Nuclear Magnetic Resonance (NMR) were used to characterize intracellular metabolite profiles of Escherichia coli cultures, with multivariate statistical analysis using XCMS and MetaboAnalyst. Results show that doping with NCAA induces metabolic changes, however, the metabolic impact was not dramatic. A second set of experiments in which cultures were placed under mild stress to simulate real-world environmental conditions showed a more consistent and more robust perturbation. Pathways that changed include amino acid and protein synthesis, choline and betaine, and the TCA cycle. Globally, these changes were statistically minor, indicating that NCAA are unlikely to exert a significant impact on cells during incorporation. Our results are consistent with previous reports of NCAA doping under replete conditions and extend these results to bacterial growth under environmentally relevant conditions. Our work highlights the power of metabolomics studies in detecting cellular response to growth conditions and the complementarity of NMR and LCMS as omics tools.
引用
收藏
页数:12
相关论文
共 34 条
  • [1] Towards a Functional Understanding of Protein N-Terminal Acetylation
    Arnesen, Thomas
    [J]. PLOS BIOLOGY, 2011, 9 (05)
  • [2] SutA is a bacterial transcription factor expressed during slow growth in Pseudomonas aeruginosa
    Babin, Brett M.
    Bergkessel, Megan
    Sweredoski, Michael J.
    Moradian, Annie
    Hess, Sonja
    Newman, Dianne K.
    Tirrell, David A.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (05) : E597 - E605
  • [3] High-order random Raman lasing in a PM fiber with ultimate efficiency and narrow bandwidth
    Babin, Sergey A.
    Zlobina, Ekaterina A.
    Kablukov, Sergey I.
    Podivilov, Evgeniy V.
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [4] Time-resolved proteomic analysis of quorum sensing in Vibrio harveyi
    Bagert, John D.
    van Kessel, Julia C.
    Sweredoski, Michael J.
    Feng, Lihui
    Hess, Sonja
    Bassler, Bonnie L.
    Tirrell, David A.
    [J]. CHEMICAL SCIENCE, 2016, 7 (03) : 1797 - 1806
  • [5] Quantitative, Time-Resolved Proteomic Analysis by Combining Bioorthogonal Noncanonical Amino Acid Tagging and Pulsed Stable Isotope Labeling by Amino Acids in Cell Culture
    Bagert, John D.
    Xie, Yushu J.
    Sweredoski, Michael J.
    Qi, Yutao
    Hess, Sonja
    Schuman, Erin M.
    Tirrell, David A.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (05) : 1352 - 1358
  • [6] BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
  • [7] Incorporation of non-canonical amino acids into the developing murine proteome
    Calve, Sarah
    Witten, Andrew J.
    Ocken, Alexander R.
    Kinzer-Ursem, Tamara L.
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [8] Regulation, Function, and Detection of Protein Acetylation in Bacteria
    Carabetta, Valerie J.
    Cristea, Ileana M.
    [J]. JOURNAL OF BACTERIOLOGY, 2017, 199 (16)
  • [9] Discovery of metabolite features for the modelling and analysis of high-resolution NMR spectra
    Cho, Hyun-Woo
    Kim, Seoung Bum
    Jeong, Myong K.
    Park, Youngja
    Miller, Nana Gletsu
    Ziegler, Thomas R.
    Jones, Dean P.
    [J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2008, 2 (02) : 176 - 192
  • [10] MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data
    Chong, Jasmine
    Xia, Jianguo
    [J]. BIOINFORMATICS, 2018, 34 (24) : 4313 - 4314