Evidence map›Paper›PMID 42210297›Full record

ArticleBMC biotechnology2026

Unveiling the molecular basis of arsenic resistance in Dietzia maris isolated from arsenic-contaminated soil.

Shahid Sher, Rosny Jean, Zaman Khan, Abdul Rehman

Abstract read
In one paragraph

Article in BMC 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.

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

4 authors.

Shahid SherDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32611, USA.
Rosny JeanSchool of the Environment, Florida Agricultural and Mechanical University, Tallahassee, FL, 32307, USA.
Zaman KhanDepartment of Biological and Environmental Sciences, Faculty of Sciences, Emerson University Multan, Multan, 60760, Pakistan. hmzamankhan@gmail.com.
Abdul RehmanInstitute of Microbiology and Molecular Genetics, University of the Punjab, New Campus, Lahore, 54590, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe highly toxic nature and uncontrolled release of arsenic from anthropogenic activities into ecosystems create a huge health concern globally. Being a class 1 carcinogen, arsenic is affecting billions of people in both developed and developing countries.

resultsDietzia maris strain sha9 was isolated from industrially contaminated soil, screened phenotypically and genetically, and investigated for its potential in arsenic resistance and bioremediation. Minimum inhibitory concentration assay showed that it can tolerate < 36 mM arsenite and < 185 mM arsenate along with other multiple heavy metals and metalloids, including lead (5 mM), chromium (15 mM), cobalt (10 mM), selenium (7 mM), cadmium 6 mM), mercury (5 mM), and nickel (5 mM). The key genes for arsenic and other heavy metals were identified through whole-genome sequencing, and these genes include aioB, arsC, Acr3, arsR, csoR, copZ, and CzcD. Brownish precipitation upon reaction with AgNO

conclusionCollectively, these observations proved D. maris strain sha9 is a metabolically adaptable and genetically equipped arsenite-oxidizing bacterium with robust capability for arsenic bioremediation from contaminated sites.

Indexed as

ActinomycetalesArsenicDrug Resistance, BacterialSoil PollutantsBiodegradation, EnvironmentalMicrobial Sensitivity TestsSoil MicrobiologyArsenicSoil PollutantsArsenicBioremediationqPCRSoilWhole genome sequencing

Identifiers

PMID42210297
PMCPMC13450497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.