Evidence map›Paper›PMID 38884693›Full record

ArticleJournal of microbiology (Seoul, Korea)2024

Identification of avaC from Human Gut Microbial Isolates that Converts 5AVA to 2-Piperidone.

Qiudi Zhou, Lihui Feng

Abstract read
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Qiudi ZhouInstitute of Pediatrics, Children's Hospital of Fudan University, and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, People's Republic of China.
Lihui FengInstitute of Pediatrics, Children's Hospital of Fudan University, and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, People's Republic of China. lihuifeng@fudan.edu.cn.

Funding

Science and Technology Innovation Program of Shanghai 21ZR1480100
6 · The paper itself

Abstract

2-piperidone is a crucial industrial raw material of high-value nylon-5 and nylon-6,5. Currently, a major bottleneck in the biosynthesis of 2-piperidone is the identification of highly efficient 2-piperidone synthases. In this study, we aimed to identify specific strains among 51 human gut bacterial strains capable of producing 2-piperidone and to elucidate its synthetic mechanism. Our findings revealed that four gut bacterial strains, namely Collinsella aerofaciens LFYP39, Collinsella intestinalis LFYP54, Clostridium bolteae LFYP116, and Clostridium hathewayi LFYP18, could produce 2-piperidone from 5-aminovaleric acid (5AVA). Additionally, we observed that 2-piperidone could be synthesized from proline through cross-feeding between Clostridium difficile LFYP43 and one of the four 2-piperidone producing strains, respectively. To identify the enzyme responsible for catalyzing the conversion of 5AVA to 2-piperidone, we utilized a gain-of-function library and identified avaC (5-aminovaleric acid cyclase) in C. intestinalis LFYP54. Moreover, homologous genes of avaC were validated in the other three bacterial strains. Notably, avaC were found to be widely distributed among environmental bacteria. Overall, our research delineated the gut bacterial strains and genes involved in 2-piperidone production, holding promise for enhancing the efficiency of industrial biosynthesis of this compound.

Indexed as

Gastrointestinal MicrobiomePiperidonesBacteriaBacterial ProteinsHumansPentanoic AcidsBacterial Proteinsn-pentanoic acidPentanoic AcidsPiperidones2-piperidoneavaC (5-aminovaleric acid cyclase)Cross-feedingGut microbiota metabolism

Identifiers

PMID38884693
PMCPMC11196342

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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.