Evidence map›Paper›PMID 39441460›Full record

ArticleScience China. Life sciences2024

NeoI represents a group of transcriptional repressors regulating the biosynthesis of multiple aminoglycosides.

Yue Li, Xiangxi Meng, Dong Li, Xiulei Xia, Jihui Zhang, Yihua Chen, Huarong Tan

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Article in Science China. Life sciences, 2024. 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

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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. Article
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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

7 authors.

Yue Li *State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Xiangxi Meng *State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Dong LiState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Xiulei XiaState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Jihui ZhangState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Yihua ChenState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. chenyihua@im.ac.cn.
Huarong TanState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. tanhr@im.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In general, the initiation or closure of antibiotic biosynthesis is determined by regulatory proteins, but most of their mechanisms of action remain unknown. The 2-deoxystreptamine-containing aminoglycosides (2-DOS AGs) form a unique category among antibiotics. Genomic analysis revealed that a group of hypothetical regulatory genes represented by neoI are widely distributed in the biosynthetic gene clusters (BGCs) of natural products from Streptomyces species, including several 2-DOS AGs. Only limited knowledge is available for the roles of NeoI-type regulators although neomycin and some of the related AGs have been developed as therapeutic drugs for decades. This study focuses on the functional determination of neoI and its homologues situated in the BGCs of six AGs. We found that the yield of neomycin in neoI disruption mutant (ΔneoI) increased by 50% compared to the wild-type (WT) strain ((420.6±44.1) mg L

Indexed as

AminoglycosidesAnti-Bacterial AgentsGene Expression Regulation, BacterialMultigene FamilyNeomycinPromoter Regions, GeneticStreptomycesBacterial ProteinsBase SequenceHexosaminesRepressor ProteinsTranscription, Genetic2-deoxystreptamineAminoglycosidesAnti-Bacterial AgentsBacterial ProteinsHexosaminesNeomycinRepressor ProteinsaminoglycosidesneomycinregulationStreptomyces fradiae

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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.