Evidence map›Paper›PMID 41557518›Full record

ArticleGenetics2026

CottonGen 2025: a knowledgebase for cotton genomics, genetics, and breeding research.

Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Ping Zheng, Katheryn Buble, Jodi Humann, Don Jones, Todd Campbell, Joshua Udall and 1 more

Abstract read
In one paragraph

Article in Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Genetic Dynamics of Allotetraploid Cotton Species (Plants (Basel, Switzerland) · 2026
    Article
  2. Article
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

11 authors.

Jing YuDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.ORCID 0000-0001-8008-5216
Sook JungDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.ORCID 0000-0003-3968-2769
Chun-Huai ChengDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.
Taein LeeDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.
Ping ZhengDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.
Katheryn BubleDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.
Jodi HumannDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.ORCID 0000-0002-9575-6710
Don JonesCotton Incorporated, Cary, NC 27513, United States.
Todd CampbellThe Agricultural Research Service of U.S. Department of Agriculture, Florence, SC 29501, United States.ORCID 0000-0001-8895-5757
Joshua UdallThe Agricultural Research Service of U.S. Department of Agriculture, College Station, TX 77845, United States.ORCID 0000-0003-0978-4764
Dorrie MainDepartment of Horticulture, Washington State University, Pullman, WA 99164, United States.ORCID 0000-0002-1162-2724

Funding

Bayer CropScienceCorteva AgriscienceCORTEVA AgriscienceCotton IncorporatedNSF CIF21 Data Infrastructure Building Blocks #1443040NSF Plant Genome Research Program #444573Southern Association of Agricultural Experiment Station DirectorsSpecialty Crop Research Initiative 2022-51181-38449Tripal developmentUSDA-ARS Crop Germplasm Research UnitUSDA HatchUSDA National Institute of Food and Agriculture National Research NRSP10USDA National Institute of Food and Agriculture Specialty Crop Research Initiative 2014-51181-22376USDA National Institute of Food and Agriculture Specialty Crop Research Initiative 2014-51181-22378U.S. Department of Agriculture's National Institute of Food and Agriculture
6 · The paper itself

Abstract

CottonGen (https://www.cottongen.org) serves as an integrated genomics platform for the cotton research community, combining comprehensive data storage with sophisticated analysis tools built on the Tripal framework. Since its establishment in 2012, CottonGen has consolidated and expanded resources previously scattered across CottonDB and the Cotton Marker Database while developing advanced analytical capabilities. The platform has expanded substantially between 2021 and 2025, with tetraploid genome assemblies and gene annotations increasing 3-fold, genotype datasets doubling, and phenotype records growing 1.8-fold. Recent developments include enhanced search and visualization capabilities through updated Map Viewer and Breeding Information Management System tools, integration of genome-wide association studies and gene expression analysis via new Tripal modules, and implementation of Genotype Investigator for Genome-Wide Analyses for interactive large-scale genotyping data exploration. Beyond data storage, CottonGen provides integrated analysis workflows spanning sequence similarity searches, synteny analysis, expression profiling, marker-trait association studies, and breeding data management. These capabilities support diverse research applications from comparative genomics and gene discovery to marker-assisted selection and cultivar development. As the official platform for the International Cotton Genome Initiative, CottonGen helps coordinate global cotton research efforts and maintains a comprehensive, actively curated resource that evolves with community research priorities.

Indexed as

Databases, GeneticGenome, PlantGossypiumKnowledge BasesPlant BreedingGenome-Wide Association StudyGenomicsBIMScottoncultivar developmentgenetic mapsgenomics knowledgebaseGIGWAGossypiumGWASmarker-assisted selectionQTLRNA-Seqwhole-genome sequencing

Identifiers

PMID41557518
PMCPMC13050201

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.