LC-MS/MS-based metabolic profiling of Escherichia coli under heterologous gene expression stress

被引:10
|
作者
Nadeem, Muhammad S. [1 ]
Razeeth, Mohammed [1 ]
Choudhry, Hani M. Z. [1 ,2 ]
Anwar, Firoz [1 ]
Zamzami, Mazin A. [1 ,2 ]
Murtaza, Bibi N. [3 ]
Al-Abbasi, Fahad A. M. [1 ]
Khan, Mohammad, I [1 ,2 ]
Shakoori, Abdul R. [4 ,5 ]
机构
[1] King Abdulaziz Univ, Fac Sci, Dept Biochem, 3rd Floor,Bldg A90, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, Fac Sci, Canc Metab & Epigenet Unit, Jeddah, Saudi Arabia
[3] Kinnaird Coll Women, Dept Zool, Lahore, Pakistan
[4] Univ Punjab, Sch Biol Sci, Quaid I Azam Campus, Lahore 54590, Pakistan
[5] Fac Life Sci, Dept Biochem, Lahore, Pakistan
关键词
metabolic profiling; ampicillin resistance; gene expression; E; coli; liquid chromatography-mass spectrometry; mass spectrometry; CARBON; ACID;
D O I
10.1002/jcb.28962
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Escherichia coli is frequently exploited for genetic manipulations and heterologous gene expression studies. We have evaluated the metabolic profile of E. coli strain BL21 (DE3) RIL CodonPlus after genetic modifications and subjecting to the production of recombinant protein. Three genetically variable E. coli cell types were studied, normal cells (susceptible to antibiotics) cultured in simple LB medium, cells harboring ampicillin-resistant plasmid pET21a (+), grown under antibiotic stress, and cells having recombinant plasmid pET21a (+) ligated with bacterial lactate dehydrogenase gene grown under ampicillin and standard isopropyl thiogalactoside (IPTG)-induced gene expression conditions. A total of 592 metabolites were identified through liquid chromatography-mass spectrometry/mass spectrometry analysis, feature and peak detection using XCMS and CAMERA followed by precursor identification by METLIN-based procedures. Overall, 107 metabolites were found differentially regulated among genetically modified cells. Quantitative analysis has shown a significant modulation in DHNA-CoA, p-aminobenzoic acid, and citrulline levels, indicating an alteration in vitamin K, folic acid biosynthesis, and urea cycle of E. coli cells during heterologous gene expression. Modulations in energy metabolites including NADH, AMP, ADP, ATP, carbohydrate, terpenoids, fatty acid metabolites, diadenosine tetraphosphate (Ap4A), and l-carnitine advocate major metabolic rearrangements. Our study provides a broader insight into the metabolic adaptations of bacterial cells during gene manipulation experiments that can be prolonged to improve the yield of heterologous gene products and concomitant production of valuable biomolecules.
引用
收藏
页码:125 / 134
页数:10
相关论文
共 50 条
  • [1] LC-MS/MS-based metabolic profiling: unraveling the impact of varying degrees of curing on metabolite transformations in tobacco
    Wei, Kesu
    Chen, Xuling
    Cheng, Zhijun
    Wang, Heng
    Wang, Feng
    Yang, Lei
    Wu, Shengjiang
    Yang, Yijun
    Tu, Yonggao
    Wang, Yan
    Liang, Chenggang
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [2] Metabolic Profiling of Acylcarnitines in Glioma Cells Based on LC-MS/MS
    Lyu Q.-L.
    Zang Q.-C.
    Chu X.-P.
    Chen Y.-H.
    Zhang R.-P.
    Abliz Z.
    Zhang, Rui-Ping (rpzhang@imm.ac.cn), 1600, Chinese Society for Mass Spectrometry (41): : 393 - 401
  • [3] Untargeted LC-MS/MS-Based Metabolomic Profiling for the Edible and Medicinal Plant Salvia miltiorrhiza Under Different Levels of Cadmium Stress
    Yuan, Jun
    Liu, Rongpeng
    Sheng, Shasha
    Fu, Haihui
    Wang, Xiaoyun
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [4] LC-MS based metabolic profiling of Cetraria islandica and quantification of aliphatic secondary metabolites by LC-MS
    Gonzalez, Eduardo Villicana
    Schwaiger, Stefan
    Stuppner, I. R. Hermann
    PLANTA MEDICA, 2023, 89 (14) : 1401 - 1402
  • [5] LC-MS/MS-based steroidal saponins profiling and biological activities of Ruscus hyrcanus Woronow
    Nazemiyeh, Hossein
    Zengin, Gokhan
    Mehrad, Hossein
    Farhoudi, Mehdi
    Bahadori, Mir Babak
    EUROPEAN JOURNAL OF INTEGRATIVE MEDICINE, 2020, 40
  • [6] LC-MS/MS-Based Profiling of Tryptophan-Related Metabolites in Healthy Plant Foods
    Vitalini, Sara
    Dei Cas, Michele
    Rubino, Federico Maria
    Vigentini, Ileana
    Foschino, Roberto
    Iriti, Marcello
    Paroni, Rita
    MOLECULES, 2020, 25 (02):
  • [7] Metabolite identification and quantitation in LC-MS/MS-based metabolomics
    Xiao, Jun Feng
    Zhou, Bin
    Ressom, Habtom W.
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2012, 32 : 1 - 14
  • [8] Metabolic Profiling of the Oil of Sesame of the Egyptian Cultivar 'Giza 32' Employing LC-MS and Tandem MS-Based Untargeted Method
    Hassan Mekky, Reham
    Abdel-Sattar, Essam
    Segura-Carretero, Antonio
    del Mar Contreras, Maria
    FOODS, 2021, 10 (02)
  • [9] DI/LC-MS/MS-Based Metabolic Profiling for Identification of Early Predictive Serum Biomarkers of Metritis in Transition Dairy Cows
    Zhang, Guanshi
    Deng, Qilan
    Mandal, Rupasri
    Wishart, David S.
    Ametaj, Burim N.
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2017, 65 (38) : 8510 - 8521
  • [10] LC-MS/MS-based method for long-term steroid profiling in human scalp hair
    Noppe, Gerard
    de Rijke, Yolanda B.
    Dorst, Kristien
    van den Akker, Erica L. T.
    van Rossum, Elisabeth F. C.
    CLINICAL ENDOCRINOLOGY, 2015, 83 (02) : 162 - 166