Evidence map›Paper›PMID 35817856›Full record

ArticleNature metabolism2022

Rescuing yeast from cell death enables overproduction of fatty acids from sole methanol.

Jiaoqi Gao, Yunxia Li, Wei Yu, Yongjin J Zhou

Abstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
11.9field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 155 citations in OpenAlex.

  1. Iterative evolution ofSynthetic and systems biotechnology · 2026
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  2. Multi-omics analyses of evolvedSynthetic and systems biotechnology · 2026
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  7. Truncation ofSynthetic and systems biotechnology · 2026
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  8. Review
  9. Article
  10. Metabolic engineering ofFrontiers in microbiology · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Engineering yeast for tailored fatty acid profiles.Applied microbiology and biotechnology · 2025
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jiaoqi GaoDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
Yunxia LiDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
Wei YuDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China.
Yongjin J ZhouDivision of Biotechnology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, PR China. zhouyongjin@dicp.ac.cn.ORCID http://orcid.org/0000-0002-2369-3079
Dalian Institute of Chemical Physics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methanol is an ideal feedstock for biomanufacturing that can be beneficial for global carbon neutrality; however, the toxicity of methanol limits the efficiency of methanol metabolism toward biochemical production. We here show that engineering production of free fatty acids from sole methanol results in cell death with decreased cellular levels of phospholipids in the methylotrophic yeast Ogataea polymorpha, and cell growth is restored by adaptive laboratory evolution. Whole-genome sequencing of the adapted strains reveals that inactivation of LPL1 (encoding a putative lipase) and IZH3 (encoding a membrane protein related to zinc metabolism) preserve cell survival by restoring phospholipid metabolism. Engineering the pentose phosphate pathway and gluconeogenesis enables high-level production of free fatty acid (15.9 g l

Indexed as

MethanolPichiaCell DeathFatty AcidsPentose Phosphate PathwayFatty AcidsMethanol

Identifiers

PMID35817856
OpenAlexW4285008791

What OpenQuestion holds

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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.