Literature DB >> 33748869

Analyzing the genetic characteristics of a tryptophan-overproducing Escherichia coli.

Dongqin Ding1,2,3, Danyang Bai1,2,3, Jinlong Li1,4, Zhitao Mao5, Yaru Zhu1,2,3, Pi Liu1,4, Jianping Lin1,4,6, Hongwu Ma5, Dawei Zhang7,8,9.   

Abstract

L-tryptophan (L-trp) production in Escherichia coli has been developed by employing random mutagenesis and selection for a long time, but this approach produces an unclear genetic background. Here, we generated the L-trp overproducer TPD5 by combining an intracellular L-trp biosensor and fluorescence-activated cell sorting (FACS) in E. coli, and succeeded in elucidating the genetic basis for L-trp overproduction. The most significant identified positive mutations affected TnaA (deletion), AroG (S211F), TrpE (A63V), and RpoS (nonsense mutation Q33*). The underlying structure-function relationships of the feedback-resistant AroG (S211F) and TrpE (A63V) mutants were uncovered based on protein structure modeling and molecular dynamics simulations, respectively. According to transcriptomic analysis, the global regulator RpoS not only has a great influence on cell growth and morphology, but also on carbon utilization and the direction of carbon flow. Finally, by balancing the concentrations of the L-trp precursors' serine and glutamine based on the above analysis, we further increased the titer of L-trp to 3.18 g/L with a yield of 0.18 g/g. The analysis of the genetic characteristics of an L-trp overproducing E. coli provides valuable information on L-trp synthesis and elucidates the phenotype and complex cellular properties in a high-yielding strain, which opens the possibility to transfer beneficial mutations and reconstruct an overproducer with a clean genetic background.

Entities:  

Keywords:  Genome sequencing; L-trp; Protein structure; Transcriptional regulator; Transcriptome analysis

Mesh:

Substances:

Year:  2021        PMID: 33748869     DOI: 10.1007/s00449-021-02552-4

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  33 in total

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Journal:  N Biotechnol       Date:  2009-02-03       Impact factor: 5.079

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3.  Metabolic engineering of Saccharomyces cerevisiae for the overproduction of short branched-chain fatty acids.

Authors:  Ai-Qun Yu; Nina Kurniasih Pratomo Juwono; Jee Loon Foo; Susanna Su Jan Leong; Matthew Wook Chang
Journal:  Metab Eng       Date:  2015-12-22       Impact factor: 9.783

4.  Genetically encoded sensors enable real-time observation of metabolite production.

Authors:  Jameson K Rogers; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-08       Impact factor: 11.205

5.  Metabolic repair through emergence of new pathways in Escherichia coli.

Authors:  Sammy Pontrelli; Riley C B Fricke; Shao Thing Teoh; Walter A Laviña; Sastia Prama Putri; Sorel Fitz-Gibbon; Matthew Chung; Matteo Pellegrini; Eiichiro Fukusaki; James C Liao
Journal:  Nat Chem Biol       Date:  2018-10-16       Impact factor: 15.040

6.  Exploiting nongenetic cell-to-cell variation for enhanced biosynthesis.

Authors:  Yi Xiao; Christopher H Bowen; Di Liu; Fuzhong Zhang
Journal:  Nat Chem Biol       Date:  2016-03-21       Impact factor: 15.040

7.  Integrated whole-genome and transcriptome sequence analysis reveals the genetic characteristics of a riboflavin-overproducing Bacillus subtilis.

Authors:  Guanglu Wang; Ting Shi; Tao Chen; Xiaoyue Wang; Yongcheng Wang; Dingyu Liu; Jiaxin Guo; Jing Fu; Lili Feng; Zhiwen Wang; Xueming Zhao
Journal:  Metab Eng       Date:  2018-06-02       Impact factor: 9.783

Review 8.  High-throughput screening approaches and combinatorial development of biomaterials using microfluidics.

Authors:  David Barata; Clemens van Blitterswijk; Pamela Habibovic
Journal:  Acta Biomater       Date:  2015-09-08       Impact factor: 8.947

Review 9.  Comparison of next-generation sequencing systems.

Authors:  Lin Liu; Yinhu Li; Siliang Li; Ni Hu; Yimin He; Ray Pong; Danni Lin; Lihua Lu; Maggie Law
Journal:  J Biomed Biotechnol       Date:  2012-07-05

Review 10.  Adaptive laboratory evolution -- principles and applications for biotechnology.

Authors:  Martin Dragosits; Diethard Mattanovich
Journal:  Microb Cell Fact       Date:  2013-07-01       Impact factor: 5.328

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