Evidence mapPaperPMID 41361449Full record

ArticleJournal of biological engineering2025

Integrated genomic and transcriptomic Insights into methanol tolerance mechanisms in Methylobacterium extorquens AM1, identifying key targets for strain engineering.

Gyu Min Lee, Khoi Nhat Pham, Ina Bang, Seyoung Ko, Donghyuk Kim

Abstract read
In one paragraph

Article in Journal of biological engineering, 2025. 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

5 authors.

Gyu Min LeeSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Khoi Nhat PhamSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Ina BangSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Seyoung KoSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. sierrayk@gmail.com.
Donghyuk KimSchool of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. dkim@unist.ac.kr.

Funding

National Research Foundation of Korea,South Korea NRF-2015M3D3A1A01064919National Research Foundation of Korea,South Korea NRF-RS-2023-00208026National Research Foundation of Korea,South Korea NRF- RS-2024-00440681
6 · The paper itself

Abstract

Methanol is an attractive one-carbon feedstock for sustainable biomanufacturing because of its abundance, cost-effectiveness, and industrial compatibility. However, its cytotoxicity limits its biotechnological applications in native methylotrophs such as Methylobacterium extorquens AM1. In this study, we developed AM1-derived strains capable of sustained growth under elevated methanol concentrations through adaptive laboratory evolution (ALE). From the evolved population, five representative strains were isolated, exhibiting up to a 1.68-fold increase in specific growth rates compared with those of the wild- type at 2.5% (v/v; 617.93 mM) methanol. Genomic analysis of the evolved strains revealed recurrent mutations in metY (O-acetyl-L-homoserine sulfhydrylase) and kefB (potassium efflux antiporter). Functional validation confirmed that these recurrent mutations improve methanol tolerance through distinct yet complementary mechanisms. The consistent emergence of mutations in metY and kefB across all strains implies strong convergent selection, highlighting their independent roles in a coordinated adaptive strategy. Specifically, the metY mutations are hypothesized to fine-tune enzyme activity to reduce toxic byproduct formation, while the loss-of-function kefB mutation likely conserves cellular energy. The largely additive nature of their combined effect underscores how these distinct adaptive mechanisms, optimization of methionine biosynthesis and energy conservation, independently contribute to the overall fitness improvement under methanol stress. To further elucidate methanol adaptation strategies, we performed an integrated genomic and transcriptomic analysis. Transcriptome profiling revealed 767 differentially expressed genes, indicating widespread transcriptional reprogramming. Notably, the key upregulated genes were involved mainly in central carbon metabolism, methionine biosynthesis, cellular defense responses such as oxidative stress mitigation, and nitrogen metabolism, as interpreted through DEG mapping onto metabolic pathways using a genome-scale metabolic model. Overall, this study highlights how coordinated genetic and transcriptional adaptations contribute to methanol tolerance in the AM1-derived evolved strains, providing systems-level insights. These strains represent promising platforms for methanol-based biomanufacturing, with the potential to improve microbial robustness and reduce stress-induced bottlenecks in industrial processes.

Indexed as

Adaptive laboratory evolutionCarbon neutralityMetabolic engineeringMethanolMethylobacterium extorquensMethylotrophySystems biology

Identifiers

PMID41361449
PMCPMC12797532

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.