Evidence map›Paper›PMID 40646357›Full record

ArticleOecologia2025

Native range climate influences nonstructural carbohydrate storage in oak species growing in a common garden.

Kyra A Prats, Josephine Brigham, Levi Berry, Dylan K Wainwright, Morgan E Furze

Abstract read
In one paragraph

Article in Oecologia, 2025. 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

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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

5 authors.

Kyra A PratsDepartment of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA.
Josephine BrighamDepartment of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA.
Levi BerryDepartment of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA.
Dylan K WainwrightDepartment of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Morgan E FurzeDepartment of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA. mfurze@purdue.edu.ORCID http://orcid.org/0000-0001-9690-6218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global climate change and related environmental stress threaten the survival of long-lived tree species. To ensure survival in increasingly unfavorable environments, trees need to either acclimate through phenotypic plasticity, adapt via genetic differentiation, or migrate to more favorable climates altogether. Nonstructural carbohydrate (NSC) storage is a critical trait that supports proper metabolic function in plants and has been shown to prolong their survival in the face of stress. However, relatively few studies have explored local adaptation of NSC storage, with none to our knowledge focusing on oaks, an abundant and ecologically important genus primarily across the Northern Hemisphere. Here, we used a common garden of oak species to assess whether NSC storage is locally adapted by exploring whether species' native range climate influences NSC storage in the stem. We found that the proportion of soluble sugars, the proportion of starch, and starch concentration were influenced by native range temperature, such that species from hotter regions had a larger proportion of soluble sugars, smaller proportion of starch, and lower starch concentration than species from colder regions. These correlations suggest that some NSC traits (i.e., proportion of sugars/starch) are genetically controlled in the genus Quercus. Our study has implications for how different oak species may respond to and survive under environmental stress and changing climates.

Indexed as

Carbohydrate MetabolismClimateQuercusClimate ChangeStarchStarchClimateLocal adaptationNonstructural carbohydratesOaksPhylogenetic comparative methodsQuercus

Identifiers

PMID40646357
PMCPMC12254077

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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.