Evidence map›Paper›PMID 41563946›Full record

ArticleChemistry & biodiversity2026

Functional Characterization of Two Methyltransferases Involved in Benzylisoquinoline Alkaloid Biosynthesis in Sinomenium acutum.

Yuxin Qi, Xinlan Wang, Xiaotao Tuo, Yin Chen, Xina Yu, Yue Han, Lei Zhou, Jianing Deng, Shengxiong Huang, Xueshuang Huang and 1 more

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. 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

11 authors.

Yuxin QiHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Xinlan WangHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Xiaotao TuoState Key Laboratory of Phytochemistry and Plant Resources in West China, CAS Center for Excellence in Molecular Plant Sciences, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
Yin ChenState Key Laboratory of Phytochemistry and Plant Resources in West China, CAS Center for Excellence in Molecular Plant Sciences, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
Xina YuHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Yue HanHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Lei ZhouHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Jianing DengHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Shengxiong HuangState Key Laboratory of Phytochemistry and Plant Resources in West China, CAS Center for Excellence in Molecular Plant Sciences, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
Xueshuang HuangHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.
Peng YangHunan Provincial Key Laboratory for Synthetic Biology of Traditional Chinese Medicine, School of Pharmaceutical Sciences, Hunan University of Medicine, Huaihua, China.ORCID https://orcid.org/0000-0002-6971-7558

Funding

Hunan Provincial Natural Science Foundation of China 2024JJ7335Scientific Research Fund of Hunan Provincial Education Department 23B1045Undergraduate Innovation and Entrepreneurship Training Program Fund of Hunan Provincial Education Department 202512214002
6 · The paper itself

Abstract

Benzylisoquinoline alkaloids (BIAs) are a diverse group of plant secondary metabolites with significant pharmacological activities, where methylation reactions catalyzed by methyltransferases play crucial roles in structural diversification and bioactivity modulation. In this study, we identified and functionally characterized two key methyltransferases, Sinomenium acutum 6-O-methyltransferase (Sa6OMT) and S. acutum coclaurine N-methyltransferase (SaCNMT), involved in BIA biosynthesis in S. acutum, a traditional Chinese medicinal plant with anti-rheumatoid arthritis properties. Candidate genes, including SaOMT3 and SaNMT4, were selected through transcriptome analysis of different tissues combined with phylogenetic analysis and expression pattern evaluation. Functional validation demonstrated that SaOMT3 encodes a 6OMT that catalyzes the conversion of (S)-norcoclaurine to (S)-coclaurine, while SaNMT4 encodes a CNMT that mediates the N-methylation of (S)-coclaurine to (S)-N-methylcoclaurine. Biochemical characterization revealed optimal activity at 40°C for both enzymes, with distinct optimal pH levels (8.5 for Sa6OMT and 8.0 for SaCNMT) and higher catalytic efficiency for SaCNMT. This study provides valuable insights into the molecular mechanisms underlying BIA biosynthesis in S. acutum and enhances our understanding of plant specialized metabolism.

Indexed as

AlkaloidsBenzylisoquinolinesMethyltransferasesSinomeniumPhylogenyAlkaloidsBenzylisoquinolinesMethyltransferasesBenzylisoquinoline alkaloidsN‐methyltransferaseO‐methyltransferaseSinomenium acutum

Identifiers

PMID41563946
PMCPMC13420814

What OpenQuestion holds

Textmetadata
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.