Evidence map›Paper›PMID 37372480›Full record

ArticleGenes2023

Domestication over Speciation in Allopolyploid Cotton Species: A Stronger Transcriptomic Pull.

Josef J Jareczek, Corrinne E Grover, Guanjing Hu, Xianpeng Xiong, Mark A Arick Ii, Daniel G Peterson, Jonathan F Wendel

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Comparative multi "omics" profiling ofFrontiers in plant science · 2026
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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

7 authors at 3 institutions in 2 countries.

Josef J JareczekEcology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA.
Corrinne E GroverEcology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA.ORCID 0000-0003-3878-5459
Guanjing HuState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0001-8552-7394
Xianpeng XiongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
Mark A Arick IiInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA.
Daniel G PetersonInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA.
Jonathan F WendelEcology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA.ORCID 0000-0003-2258-5081
Iowa State University · USAgricultural Genomics Institute at Shenzhen · CNMississippi State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton has been domesticated independently four times for its fiber, but the genomic targets of selection during each domestication event are mostly unknown. Comparative analysis of the transcriptome during cotton fiber development in wild and cultivated materials holds promise for revealing how independent domestications led to the superficially similar modern cotton fiber phenotype in upland (

Indexed as

DomesticationTranscriptomeCotton FiberGene Expression ProfilingGenomicsGossypiumcottoncotton fiberdomesticationfiber developmentGossypium barbadenseGossypium hirsutum

Identifiers

PMID37372480
PMCPMC10298526
OpenAlexW4381662730

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.