Evidence map›Paper›PMID 41593344›Full record

ArticleApplied microbiology and biotechnology2026

Elucidating the roles of essential genes in autotrophic metabolism and cell morphology of Clostridium ljungdahlii by CRISPRi.

Saira Munir, Sai Wan, Xinyu Gao, Mingchi Lai, Zhenjie Mu, Hui Wang, Ziyong Liu, Fuli Li, Lin Xia, Yang Tan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

10 authors.

Saira Munir *State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Sai Wan *State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Xinyu GaoState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Mingchi LaiState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Zhenjie MuState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Hui WangState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Ziyong LiuState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Fuli LiState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China.
Lin XiaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yang TanState Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Shandong C1 Refinery Engineering Research Center, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, 266101, China. tanyang@qibebt.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the function of essential genes in Clostridium ljungdahlii is critical for unraveling its autotrophic metabolism and optimizing its potential as a platform for syngas fermentation. However, study on essential genes of this species remains insufficient. Here, we employed an inducible CRISPR interference (CRISPRi) system to investigate the roles of key metabolic and cell division genes in C. ljungdahlii. Targeted repression of genes encoding pyruvate:ferredoxin oxidoreductase (PFOR1, PFOR2), acetaldehyde:ferredoxin oxidoreductase (AOR1, AOR2), and glyceraldehyde phosphate hydrogenase type I (GAP-I) revealed their essential contributions to autotrophic growth, as knockdown strains exhibited impaired growth and reduced ethanol production. Furthermore, downregulation of the cell division gene ftsZ resulted in elongated cell morphology, highlighting its critical role in cell shape regulation. These findings provide new insights into the functional importance of essential genes in C. ljungdahlii and demonstrate how targeted gene repression can advance our understanding of autotrophic metabolism and cellular processes.

Indexed as

Autotrophic ProcessesClostridiumCRISPR-Cas SystemsGenes, EssentialBacterial ProteinsCell DivisionCytoskeletal ProteinsEthanolFermentationGene Expression Regulation, BacterialBacterial ProteinsCytoskeletal ProteinsEthanolFtsZ protein, BacteriaAutotrophic metabolismClostridium ljungdahliiCRISPR interferenceEssential genesInducible promotersSyngas fermentation

Identifiers

PMID41593344
PMCPMC12852162

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LicenceCC BY
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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.