Evidence map›Paper›PMID 39640290›Full record

ArticleSynthetic and systems biotechnology2025

Harnessing the microbial interactions from

Wei Huang, Xingzhi Jiao, Lingqi Hua, Qianjin Kang, Lili Zhang, Xiaoxia Luo, Linquan Bai

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

7 authors.

Wei HuangCollege of Life Science and Technology & Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, 843300, Xinjiang, People's Republic of China.
Xingzhi JiaoState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China.
Lingqi HuaCollege of Life Science and Technology & Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, 843300, Xinjiang, People's Republic of China.
Qianjin KangState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200240, Shanghai, People's Republic of China.
Lili ZhangCollege of Life Science and Technology & Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, 843300, Xinjiang, People's Republic of China.
Xiaoxia LuoCollege of Life Science and Technology & Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, 843300, Xinjiang, People's Republic of China.
Linquan BaiCollege of Life Science and Technology & Xinjiang Production & Construction Corps Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar, 843300, Xinjiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products (NPs) afforded by living-beings, especially by microscopic species, represent invaluable and indispensable reservoirs for drug leads in clinical practice. With the rapid advancement in sequencing technology and bioinformatics, the ever-increasing number of microbial biosynthetic gene clusters (BGCs) were decrypted, while a great deal of BGCs remain cryptic or inactive under standard laboratory culture conditions. Addressing this dilemma requires innovative tactics to awaken quiescence of BGCs by releasing the potential of microbial secondary metabolism for mining novel NPs. In this study, a universal strategy was proposed to induce the expression of silent BGCs by leveraging the dynamic interactions among coexisting microbial neighbors within a microbiota. This approach involves the deconstruction/reconstruction of binary interactions among the coexisting neighbors to create a pipeline for BGCs arousing. Coupled with the acquisition of 2760 microbial individuals from the

Indexed as

Biosynthetic gene clusterCo-cultureMetabolomicsNatural productsPhyllosphere microbiota

Identifiers

PMID39640290
PMCPMC11617933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.