Evidence map›Paper›PMID 38609677›Full record

ArticleNature metabolism2024

Elucidation of genes enhancing natural product biosynthesis through co-evolution analysis.

Xinran Wang, Ningxin Chen, Pablo Cruz-Morales, Biming Zhong, Yangming Zhang, Jian Wang, Yifan Xiao, Xinnan Fu, Yang Lin, Suneil Acharya and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
14.3field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

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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

17 authors at 7 institutions in 3 countries.

Xinran Wang *Shenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Ningxin Chen *Shenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Pablo Cruz-Morales *Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-6751-8897
Biming ZhongShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0009-0007-5303-6540
Yangming ZhangShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-0341-7851
Jian WangKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education), Wuhan University, Wuhan, China.ORCID http://orcid.org/0009-0002-4490-7838
Yifan XiaoState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Xinnan FuState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yang LinInstitute of Chemical Biology, Shenzhen Bay Laboratory, Shenzhen, China.
Suneil AcharyaDepartment of Chemical and Biomolecular Engineering and Department of Bioengineering, University of California, Berkeley, CA, USA.
Zhibo LiShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Huaxiang DengShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yuhui SunKey Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education), Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0001-5720-9620
Linquan BaiState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Xiaoyu TangInstitute of Chemical Biology, Shenzhen Bay Laboratory, Shenzhen, China. xtang@szbl.ac.cn.ORCID http://orcid.org/0000-0002-6406-9870
Jay D KeaslingShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. keasling@berkeley.edu.ORCID http://orcid.org/0000-0003-4170-6088
Xiaozhou LuoShenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Key Laboratory of Quantitative Synthetic Biology, Center for Synthetic Biochemistry, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. xz.luo@siat.ac.cn.ORCID http://orcid.org/0000-0001-9808-6890
Shanghai Jiao Tong University · CNShenzhen Bay Laboratory · CNWuhan University · CNLawrence Berkeley National Laboratory · USNovo Nordisk Foundation · DKShenzhen Institutes of Advanced Technology · CNUniversity of California, Berkeley · US

Funding

China Postdoctoral Science Foundation 31800023National Natural Science Foundation of China (National Science Foundation of China) 32071421National Natural Science Foundation of China (National Science Foundation of China) 32201203Novo Nordisk Fonden (Novo Nordisk Foundation) CFB 2.0, NNF20CC0035580
6 · The paper itself

Abstract

Streptomyces has the largest repertoire of natural product biosynthetic gene clusters (BGCs), yet developing a universal engineering strategy for each Streptomyces species is challenging. Given that some Streptomyces species have larger BGC repertoires than others, we proposed that a set of genes co-evolved with BGCs to support biosynthetic proficiency must exist in those strains, and that their identification may provide universal strategies to improve the productivity of other strains. We show here that genes co-evolved with natural product BGCs in Streptomyces can be identified by phylogenomics analysis. Among the 597 genes that co-evolved with polyketide BGCs, 11 genes in the 'coenzyme' category have been examined, including a gene cluster encoding for the cofactor pyrroloquinoline quinone. When the pqq gene cluster was engineered into 11 Streptomyces strains, it enhanced production of 16,385 metabolites, including 36 known natural products with up to 40-fold improvement and several activated silent gene clusters. This study provides an innovative engineering strategy for improving polyketide production and finding previously unidentified BGCs.

Indexed as

Biological ProductsMultigene FamilyStreptomycesBiosynthetic PathwaysEvolution, MolecularMetabolic EngineeringPhylogenyPolyketidesBiological ProductsPolyketides

Identifiers

PMID38609677
OpenAlexW4394753045

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.