Evidence map›Paper›PMID 39628934›Full record

ReviewEngineering microbiology2023

Metabolic engineering strategies for microbial utilization of methanol.

Yamei Gan, Xin Meng, Cong Gao, Wei Song, Liming Liu, Xiulai Chen

Abstract readReview
In one paragraph

Review in Engineering microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. EngineeringSynthetic and systems biotechnology · 2026
    Article
  3. Article
  4. Review
  5. Yeast Midas' touch: recent advances in the valorisation of methanol by yeasts.World journal of microbiology & biotechnology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Metabolic engineering: Tools and applications.Engineering microbiology · 2023
    Article
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.

Yamei GanState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Xin MengState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Cong GaoState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Wei SongSchool of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, China.
Liming LiuState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
Xiulai ChenState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing shortage of fossil resources and environmental pollution has renewed interest in the synthesis of value-added biochemicals from methanol. However, most of native or synthetic methylotrophs are unable to assimilate methanol at a sufficient rate to produce biochemicals. Thus, the performance of methylotrophs still needs to be optimized to meet the demands of industrial applications. In this review, we provide an in-depth discussion on the properties of natural and synthetic methylotrophs, and summarize the natural and synthetic methanol assimilation pathways. Further, we discuss metabolic engineering strategies for enabling microbial utilization of methanol for the bioproduction of value-added chemicals. Finally, we highlight the potential of microbial engineering for methanol assimilation and offer guidance for achieving a low-carbon footprint for the biosynthesis of chemicals.

Indexed as

Metabolic engineering strategiesMethanolMethanol assimilation pathwaysMethylotrophs

Identifiers

PMID39628934
PMCPMC11611044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.