Evidence map›Paper›PMID 40827618›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Xylose Metabolism Perturbation in Yarrowia lipolytica for Efficient Succinic Acid Bioproduction from Lignocellulosic Biomass.

Yutao Zhong, Changyu Shang, Jinhong Gu, Huilin Tao, Xuemei Lu, Jin Hou, Zhiyong Cui, Qingsheng Qi

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. EngineeringSynthetic and systems biotechnology · 2026
    Article
  3. 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

8 authors.

Yutao ZhongState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.ORCID https://orcid.org/0009-0009-6688-5845
Changyu ShangState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Jinhong GuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Huilin TaoState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Xuemei LuState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Jin HouState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Zhiyong CuiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.
Qingsheng QiState Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, P. R. China.ORCID https://orcid.org/0000-0001-9015-4561

Funding

National Natural Science Foundation of China 22208192National Natural Science Foundation of China U23A20268Natural Science Foundation of Shandong Province ZR2022ZD24
6 · The paper itself

Abstract

Lignocellulosic biomass is a sustainable feedstock for biorefineries, but inefficient xylose utilization limits microbial bioproduction. Here, the oleaginous yeast Yarrowia lipolytica was engineered to produce succinic acid (SA) from xylose by resolving metabolic and regulatory conflicts. Initial overexpression of xylose catabolic genes (XR, XDH, XK) in an SA-hyperproducing strain did not activate xylose utilization, indicating underlying cryptic constraints. Adaptive evolution identified critical mutations (Snf1

Indexed as

LigninSuccinic AcidXyloseYarrowiaBiomassMetabolic EngineeringLigninlignocelluloseSuccinic AcidXylosefatty acid metabolismlignocellulosic biomasssuccinic acid biosynthesisxylose catabolismYarrowia lipolytica

Identifiers

PMID40827618
PMCPMC12622525

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.