Evidence map›Paper›PMID 42280671›Full record

ReviewPlants (Basel, Switzerland)2026

Photosynthetic Microorganisms in Plant Growth Promotion and Stress Response: Proposed Organisms with In Silico Validation.

Olga Dimitra Asvesta, Eleni Kotsadam, Evangelia Mouchtaropoulou, Anagnostis Argiriou

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 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.

Olga Dimitra AsvestaDepartment of Food Science and Nutrition, University of the Aegean, 81400 Myrina, Lemnos, Greece.
Eleni KotsadamDepartment of Food Science and Nutrition, University of the Aegean, 81400 Myrina, Lemnos, Greece.
Evangelia MouchtaropoulouDepartment of Food Science and Nutrition, University of the Aegean, 81400 Myrina, Lemnos, Greece.ORCID 0000-0003-1913-1695
Anagnostis ArgiriouDepartment of Food Science and Nutrition, University of the Aegean, 81400 Myrina, Lemnos, Greece.

Funding

Ministry of Education and Religious Affairs National Recovery and Resilience Plan "Greece 2.0", SUB1.1: Clusters of Research Excellence (CREs), grant number "ΥΠ3ΤΑ-0561393".
6 · The paper itself

Abstract

The transition towards sustainable agri-food systems necessitates the development of effective and technologically advanced biofertilizers and biostimulants capable of reducing reliance on synthetic agrochemicals while enhancing crop productivity. Photosynthetic microorganisms, including cyanobacteria and microalgae, represent promising biological platforms owing to their extensive metabolic potential, their ability to synthesize high-value bioactive compounds, and, in certain cases, their capacity for atmospheric nitrogen fixation. These properties make them particularly valuable for enhancing plant growth and improving tolerance to abiotic and biotic stresses. In this study, a systematic review was conducted to identify diverse cyanobacterial and microalgal taxa with demonstrated roles in plant growth promotion and stress mitigation through multiple mechanisms and adaptive traits. A subset of these microorganisms was subsequently curated into a targeted database and subjected to bioinformatics analyses, leading to the identification of key metabolic pathways associated with stress response and plant growth promotion.

Indexed as

abiotic stress tolerancebiofertilizersbiostimulantscyanobacteriamicroalgaesustainable horticulture

Identifiers

PMID42280671
PMCPMC13258984

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.