Evidence mapPaperPMID 41665342Full record

ReviewJournal of bacteriology2026

Advances in synthetic biology for engineering methylotrophic microbial cell factories.

Liang Guo, Ran Li, Xi Gao, Liang Zhao, Hongxia Zhang

Abstract readReview
In one paragraph

Review in Journal of bacteriology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Liang GuoSchool of Life Science, Shanxi Normal University, Taiyuan, China.ORCID 0000-0001-5671-3438
Ran LiSchool of Life Science, Shanxi Normal University, Taiyuan, China.
Xi GaoSchool of Life Science, Shanxi Normal University, Taiyuan, China.
Liang ZhaoSchool of Life Science, Shanxi Normal University, Taiyuan, China.
Hongxia ZhangSchool of Life Science, Shanxi Normal University, Taiyuan, China.ORCID 0000-0003-0253-9870

Funding

Natural Science Foundation of Shanxi Province 202303021224010Youth Programs of National Natural Science Foundation of China 22208124Youth Programs of National Natural Science Foundation of China 32201981
6 · The paper itself

Abstract

Methanol, a renewable non-food C1 substrate, holds great promise as a feedstock for sustainable biomanufacturing and carbon neutral production. However, its industrial application is hindered by low methanol assimilation efficiency in most microbes. Recent advances in synthetic biology and metabolic engineering have enabled the development of methylotrophic microbial cell factories through strategies including building efficient methanol-utilizing pathways, engineering methanol dehydrogenase for enhanced oxidation efficiency, and optimizing redox balance via cofactor utilization. Additionally, approaches such as mitigating the accumulation of toxic metabolites and adaptive laboratory evolution have been adopted to improve the robustness of synthetic methylotrophs. This review summarizes these innovations and provides a blueprint for rationally designing high-performance microbial platforms to facilitate industrial methanol utilization and advance sustainable development.

Indexed as

BacteriaMetabolic EngineeringMethanolSynthetic BiologyAlcohol OxidoreductasesIndustrial MicrobiologyOxidation-Reductionalcohol dehydrogenase (acceptor)Alcohol OxidoreductasesMethanolmethanolmethanol dehydrogenasemicrobial cell factoriessynthetic biology

Identifiers

PMID41665342
PMCPMC13001265

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.