Evidence map›Paper›PMID 40135858›Full record

ArticleApplied and environmental microbiology2025

pH-dependent genotypic and phenotypic variability in

Priya Saxena, Dipayan Samanta, Payal Thakur, Kian Mau Goh, Mahadevan Subramaniam, Brent M Peyton, Matthew Fields, Rajesh K Sani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Priya SaxenaDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.ORCID 0000-0001-7063-5739
Dipayan SamantaDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.
Payal ThakurDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.
Kian Mau GohFaculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia.ORCID 0000-0002-2839-8722
Mahadevan SubramaniamComputer Science, College of Information Science and Technology, University of Nebraska Omaha, Omaha, Nebraska, USA.
Brent M PeytonDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, Montana, USA.
Matthew FieldsDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
Rajesh K SaniDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.ORCID 0000-0002-5493-252X

Funding

National Science Foundation 1736255,1849206,1920954
6 · The paper itself

Abstract

Sulfate-reducing bacteria (SRB) exhibit versatile metabolic adaptability with significant flexibility influenced by pH fluctuations, which play a critical role in biogeochemical cycles. In this study, we used a model SRB, IMPORTANCE: Sulfate-reducing bacteria (SRB) play essential roles in global sulfur and carbon cycling and are critical for bioremediation and anaerobic digestion processes. However, detailed studies on the genotypic and phenotypic responses of SRB under varying pH conditions are limited. This study addresses this gap by examining the pH-dependent genetic and metabolic adaptations of

Indexed as

Sulfur-Reducing BacteriaBacterial ProteinsGene Expression Regulation, BacterialGenotypeHydrogenHydrogen-Ion ConcentrationPhenotypeSulfatesBacterial ProteinsHydrogenSulfatescell morphologydissimilatory sulfate reductionenergy metabolismextracellular polymeric substancegene regulationpH homeostasis

Identifiers

PMID40135858
PMCPMC12016547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.