Evidence map›Paper›PMID 41231870›Full record

ArticlePloS one2025

Mechanisms underlying acid tolerance in Lysinibacillus sp. ND7, a highly efficient nitrate degrader.

Feifei Wang, Min Ai, Xiafei Yin, Lixue Liu, Hefei Shi, Guobin Liang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Feifei WangSchool of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou, P. R. China.
Min AiConsulting Department, Jiangsu Longheng Environmental Technology Co., LTD, Changzhou, P. R. China.
Xiafei YinSchool of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou, P. R. China.ORCID https://orcid.org/0000-0003-0769-1871
Lixue LiuSchool of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou, P. R. China.
Hefei ShiSchool of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou, P. R. China.
Guobin LiangSchool of Chemistry and Chemical Engineering, Jiangsu University of Technology, Changzhou, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the acid-tolerant strain Lysinibacillus sp. ND7 demonstrated excellent nitrate removal efficiency under acidic conditions, achieving a nitrate removal rate of 80.70 ± 0.02% in wastewater at pH 3.1. Metabolomics analysis revealed significant enrichment in pathways related to starch and sucrose metabolism, teichoic acid biosynthesis, and the phosphoenolpyruvate-dependent sugar phosphotransferase system (PTS). These pathways play a crucial role in providing energy, regulating metabolism, and maintaining cellular stability during nitrate degradation. Proteomic analysis showed a significant up-regulation of genes involved in the nitrate removal pathway. Additionally, the up-regulation of ABC transporter protein genes and the down-regulation of genes involved in oxidative phosphorylation and electron transport worked together to support the nitrate metabolic pathway and help the strain resist acid stress. In conclusion, these findings underscore the impressive nitrate removal capacity of the novel strain ND7 and offer new insights into the mechanisms through which ND7 resists acid stress under acidic conditions.

Indexed as

AcidsBacillaceaeNitratesBacterial ProteinsBiodegradation, EnvironmentalGene Expression Regulation, BacterialHydrogen-Ion ConcentrationProteomicsWastewaterAcidsBacterial ProteinsNitratesWastewater

Identifiers

PMID41231870
PMCPMC12614522

What OpenQuestion holds

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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.