Evidence map›Paper›PMID 42026146›Full record

ArticleScientific reports2026

Heterologous expression of a heme-dependent catalase from Avicennia marina confers multi-stress tolerance in Escherichia coli for biotechnological applications.

Azar Shahpiri, Mohammad Rafiei, Seyedeh Maryam Sharafi

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Azar ShahpiriDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran. a.shahpiri@bio.ui.ac.ir.
Mohammad RafieiDepartment of Biotechnology, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Seyedeh Maryam SharafiDepartment of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of antioxidant enzymes in Avicennia marina, a mangrove species, is crucial because of the plant's exceptional ability to survive in harsh environments. Catalase (CAT) is particularly important in reducing the damaging effects of reactive oxygen species (ROS), which are generated as a result of various stresses. In the present work, the gene encoding CAT from A. marina (AmCAT) was amplified from the full-length cDNA, cloned into pET32a and expressed as a Thioredoxin (Trx)-tagged fusion protein in E. coli. The recombinant enzyme, which was mainly soluble, exhibited 55,000 U/mg activity after purification. It showed optimal activity at 35 °C and pH 7, with high stability up to 40 °C and pH 6-8. Trx-AmCAT likely forms a homotetramer with a molecular mass of 280 kDa and incorporates four moles of Fe²⁺ per tetramer, essential for its hydrogen peroxide-decomposing activity. The expression and activity of AmCAT in A. marina seedlings were significantly upregulated under stress conditions, particularly in the leaves, indicating its role in stress tolerance. Furthermore, heterologous expression of AmCAT in E. coli enhanced its tolerance to NaCl, H

Indexed as

AvicenniaCatalaseEscherichia coliPlant ProteinsStress, PhysiologicalBiotechnologyCloning, MolecularHydrogen-Ion ConcentrationHydrogen PeroxideRecombinant ProteinsCatalaseHydrogen PeroxidePlant ProteinsRecombinant ProteinsAvicennia marinaCatalaseExpression profiling, Heterologous expressionFunctional characterization

Identifiers

PMID42026146
PMCPMC13273052

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.