Evidence map›Paper›PMID 36123741›Full record

ArticleMicrobial cell factories2022

Integrated multi-omics analysis and microbial recombinant protein system reveal hydroxylation and glycosylation involving nevadensin biosynthesis in Lysionotus pauciflorus.

Tianze Wu, Li Xiang, Ranran Gao, Lan Wu, Gang Deng, Wenting Wang, Yongping Zhang, Bo Wang, Liang Shen, Shilin Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2022. 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
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

12 authors at 5 institutions in 1 country.

Tianze Wu *School of Chemistry Chemical Engineering and Life Sciences, Wuhan University of Technology, No. 122, Lo Lion Road, Wuhan, 430070, Hubei, China.
Li Xiang *Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Ranran GaoKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Lan WuKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Gang DengSchool of Chemistry Chemical Engineering and Life Sciences, Wuhan University of Technology, No. 122, Lo Lion Road, Wuhan, 430070, Hubei, China.
Wenting WangKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Yongping ZhangCollege of Pharmaceutical Sciences, National Engineering Technology Research Center for Miao Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Bo WangCollege of Pharmaceutical Sciences, National Engineering Technology Research Center for Miao Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Liang ShenBeijing Museum of Natural History, Beijing Academy of Science and Technology, Beijing, 100050, China.
Shilin ChenSchool of Chemistry Chemical Engineering and Life Sciences, Wuhan University of Technology, No. 122, Lo Lion Road, Wuhan, 430070, Hubei, China. slchen@icmm.ac.cn.
Xia LiuSchool of Chemistry Chemical Engineering and Life Sciences, Wuhan University of Technology, No. 122, Lo Lion Road, Wuhan, 430070, Hubei, China. lrx1125@126.com.
Qinggang YinKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. qgyin@icmm.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNWuhan University of Technology · CNBeijing Museum of Natural History · CNGuiyang College of Traditional Chinese Medicine · CNGuizhou University · CN

Funding

Beike green shoots program No. BGS202111Fundamental Research Funds for the Central public welfare research institutes ZZ13-YQ-097Fundamental Research Funds for the Central public welfare research institutes ZZ13-YQ-102National Key Research and Development Program of China 2019YFC1711100National Natural Science Foundation of China 81891013National Natural Science Foundation of China U1812403-1the CACMS Innovation Fund CI2021A04117the CACMS Innovation Fund CI2021A05103
6 · The paper itself

Abstract

backgroundKarst-adapted plant, Lysionotus pauciflours accumulates special secondary metabolites with a wide range of pharmacological effects for surviving in drought and high salty areas, while researchers focused more on their environmental adaptations and evolutions. Nevadensin (5,7-dihydroxy-6,8,4'-trimethoxyflavone), the main active component in L. pauciflours, has unique bioactivity of such as anti-inflammatory, anti-tubercular, and anti-tumor or cancer. Complex decoration of nevadensin, such as hydroxylation and glycosylation of the flavone skeleton determines its diversity and biological activities. The lack of omics data limits the exploration of accumulation mode and biosynthetic pathway. Herein, we integrated transcriptomics, metabolomics, and microbial recombinant protein system to reveal hydroxylation and glycosylation involving nevadensin biosynthesis in L. pauciflours.

resultsUp to 275 flavonoids were found to exist in L. pauciflorus by UPLC-MS/MS based on widely targeted metabolome analysis. The special flavone nevadensin (5,7-dihydroxy-6,8,4'-trimethoxyflavone) is enriched in different tissues, as are its related glycosides. The flavonoid biosynthesis pathway was drawn based on differential transcripts analysis, including 9 PAL, 5 C4H, 8 4CL, 6 CHS, 3 CHI, 1 FNSII, and over 20 OMTs. Total 310 LpCYP450s were classified into 9 clans, 36 families, and 35 subfamilies, with 56% being A-type CYP450s by phylogenetic evolutionary analysis. According to the phylogenetic tree with AtUGTs, 187 LpUGTs clustered into 14 evolutionary groups (A-N), with 74% being E, A, D, G, and K groups. Two LpCYP82D members and LpUGT95 were functionally identified in Saccharomyces cerevisiae and Escherichia coli, respectively. CYP82D-8 and CYP82D-1 specially hydroxylate the 6- or 8-position of A ring in vivo and in vitro, dislike the function of F6H or F8H discovered in basil which functioned depending on A-ring substituted methoxy. These results refreshed the starting mode that apigenin can be firstly hydroxylated on A ring in nevadensin biosynthesis. Furthermore, LpUGT95 clustered into the 7-OGT family was verified to catalyze 7-O glucosylation of nevadensin accompanied with weak nevadensin 5-O glucosylation function, firstly revealed glycosylation modification of flavones with completely substituted A-ring.

conclusionsMetabolomic and full-length transcriptomic association analysis unveiled the accumulation mode and biosynthetic pathway of the secondary metabolites in the karst-adapted plant L. pauciflorus. Moreover, functional identification of two LpCYP82D members and one LpUGT in microbe reconstructed the pathway of nevadensin biosynthesis.

Indexed as

ApigeninFlavonesChromatography, LiquidFlavonoidsGlycosidesGlycosylationHumansHydroxylationPhylogenyRecombinant ProteinsTandem Mass SpectrometryApigeninFlavonesFlavonoidsGlycosidesnevadensinRecombinant ProteinsCYP450FlavoneGlycosyltransferaseLysinotus pauciflorusMicrobeNevadensin

Identifiers

PMID36123741
PMCPMC9484059
OpenAlexW4296368603

What Socratic 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 Socratic graph.