Evidence map›Paper›PMID 41566890›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Systematic Metabolic Engineering and Model-Guided Optimization for High-Level Production of L-Theanine from Xylose in Escherichia coli.

Haolin Han, Boyuan Xue, Guangqi Shan, Meng Meng, Shaojie Wang, Haijia Su

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Haolin HanState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.
Boyuan XueState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.
Guangqi ShanState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.
Meng MengState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.
Shaojie WangState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.ORCID https://orcid.org/0000-0003-2706-3581
Haijia SuState Key Laboratory of Green Biomanufacturing, National Energy R&D Center for Biorefinery, Beijing Key Laboratory of Green Chemicals Biomanufacturing, Beijing Synthetic Bio-Manufacturing Technology Innovation Center, Beijing University of Chemical Technology, Beijing, P. R. China.ORCID https://orcid.org/0000-0002-4266-7212

Funding

Beijing Natural Science Foundation 2252017Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of ChinaFundamental Research Funds for the Central Universities buctrc202341Fundamental Research Funds for the Central Universities JD2537National Natural Science Foundation of China 22308018National Natural Science Foundation of China 22578021
6 · The paper itself

Abstract

Lignocellulosic biomass represents a promising sustainable feedstock for biomanufacturing, yet the efficient conversion of its dominant pentose, D-xylose, into high-value α-ketoglutarate derivatives like L-theanine remains challenging due to the inherent carbon loss and low yield of conventional metabolic pathways. To overcome this limitation, a novel microbial platform was developed by reconstituting the carbon-conserving Weimberg pathway in E. coli, enabling the direct and de novo biosynthesis of L-theanine from xylose in just 7 enzymatic steps. Through comprehensive metabolic engineering, including the blocking of competitive pathways, enhancing the precursor supply, and fine-tuning cofactor balance, the overproducing strain TH 4-4 achieved a titer of 9.94 g/L and a yield of 0.33 g/g. Furthermore, flux balance analysis of enzyme-constrained metabolic network model was used to quantitatively assess metabolic trade-offs, and a two-stage microaerobic-aerobic cultivation strategy was implemented, resulting in the highest titer of 14.31 g/L and a yield of 0.48 g/g, representing a 2811.4-fold increase compared to the original strain. Finally, a fed-batch fermentation of the engineered strain achieved a titer of 95.42 g/L, a yield of 0.55 g/g xylose, and a productivity of 1.33 g/L/h. This work pioneers the high-level production of L-theanine from xylose and provides a transformative framework for the sustainable valorization of lignocellulosic sugars into valuable TCA cycle derivatives.

Indexed as

Escherichia coliGlutamatesMetabolic EngineeringXyloseMetabolic Networks and PathwaysGlutamatestheanineXyloseD‐xyloseEscherichia coliL‐theanineweimberg pathwayγ‐Glutamylmethylamide synthetase

Identifiers

PMID41566890
PMCPMC13042605

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.