Evidence map›Paper›PMID 41667594›Full record

ArticleScientific reports2026

Cell wall remodeling and inositol metabolism coexpression modules associated with nut size in Carya illinoinensis cvs. 'Mahan' and 'Tiny tim'.

June Labbancz, Warren Chatwin, Amit Dhingra

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
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0citing papers in PubMed
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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

3 authors.

June LabbanczDepartment of Horticultural Sciences, Texas A&M University, College Station, TX, USA.
Warren ChatwinUnited States Department of Agriculture, Agricultural Research Service, Pecan Breeding and Genetics, Southern Plains Agricultural Research Center, College Station, TX, USA.
Amit DhingraDepartment of Horticultural Sciences, Texas A&M University, College Station, TX, USA. adhingra@tamu.edu.

Funding

Agricultural Research Service CRIS project 3091-21000-046-000-D (Crop Germplasm Research Unit, TX)Agricultural Research Service NACA #58-3091-3-013Department of Horticultural Sciences, Texas A&M University GRA SupportNational Institute of Food and Agriculture Texas A&M AgriLife Hatch Project #TEX0-9950-0Texas A and M AgriLife Research Startup fundsTexas A and M University Startup funds
6 · The paper itself

Abstract

Pecan is a tree nut crop native to the United States and Mexico, with a global market of over 2 billion USD. Nut size has been the most important target trait for crop improvement during the very limited breeding cycles. However, relatively little is known about the molecular basis of pecan nut ontogeny and the mechanisms underlying pecan nut sizing. Besides nut size, pecan fruit faces myriad physiological disorders throughout the growing season, making knowledge of essential genes at each growth stage a necessary first step in developing new cultivars and management practices to overcome these issues. To develop a deeper understanding of pecan fruit development and identify candidate genes underlying the large fruit phenotype, a time-course transcriptomic study of pecan fruit in two genotypes, ‘Mahan’ and ‘Tiny Tim’, was conducted. Weighted Gene-Coexpression Network Analysis (WGCNA) was employed to group transcripts into functional clusters, and hub transcripts were identified through module correlation analysis to select those that are potential drivers of these functional clusters. Modules related to cell wall biosynthesis, cell wall organization, and inositol metabolism in ‘Mahan’, and proteolysis and abscisic acid response in ‘Tiny Tim’ were found to be potentially associated with nut size.

Indexed as

CaryaCell WallNutsFruitGene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksPhenotypeTranscriptomeCo-expression networkFruit sizeNut developmentPecanTranscriptomicsWGCNA

Identifiers

PMID41667594
PMCPMC12960952

What OpenQuestion holds

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Registered trials

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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.