Evidence map›Paper›PMID 42899931›Full record

ArticlePhysiologia plantarum

Antimycin A Improves Heat Tolerance in Creeping Bentgrass by Suppressing Nighttime Respiration and Reprogramming Carbon and Nitrogen Metabolism.

Amir Abbas, Stephanie Rossi, Bingru Huang

Abstract read
In one paragraph

Article in Physiologia plantarum. 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.

Amir AbbasDepartment of Plant Biology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0009-0005-6972-4837
Stephanie RossiDepartment of Plant Biology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0002-6148-0293
Bingru HuangDepartment of Plant Biology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0002-9652-9413

Funding

Center for Turfgrass ScienceNew Jersey Agricultural Experiment Station (NJAES)
6 · The paper itself

Abstract

High temperature causes an increase in plant respiration, which may contribute to growth decline under heat stress. The objectives of this study were to investigate whether suppressing heat-elevated dark respiration with a respiration inhibitor, antimycin A (AA), could improve heat tolerance and alter carbon and nitrogen-containing metabolite pools in creeping bentgrass (Agrostis stolonifera "Penncross"). Plants received water or foliar AA under 25°C/15°C or 35°C/35°C day/night conditions for 35 days. Turf quality, photosynthesis (Pn), and nighttime respiration (Rn) were measured weekly, and leaf metabolites were analyzed at Day 35. Under 35°C/35°C, AA-treated plants maintained higher turf quality from Days 14-35, higher Pn, and lower Rn than plants not treated with AA. AA treatment increased the relative levels of glucose, cellobiose, and multiple amino acids, including proline, glutamine, asparagine, and γ-aminobutyric acid. Pyruvate and shikimate increased, whereas α-ketoglutarate decreased; malate and isocitrate did not differ significantly. By combining physiological measurements with metabolite profiling, this study identifies carbohydrate conservation and changes in carbon and nitrogen metabolism as potential contributors to AA-associated heat tolerance in creeping bentgrass.

Indexed as

AgrostisAntimycin ACarbonNitrogenThermotoleranceAmino AcidsCell RespirationHot TemperaturePhotosynthesisPlant LeavesAmino AcidsAntimycin ACarbonNitrogenamino acidsantimycin acreeping bentgrassheat stressmetabolomicsrespiration

Identifiers

PMID42899931
PMCPMC13682501

What OpenQuestion holds

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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.