Evidence map›Paper›PMID 42159171›Full record

ArticleThe plant genome2026

Genetic dissection of plant architecture, development, and seed morphology in exotic × elite Upland cotton populations.

Hrithik Mangla, Ankush Sharma, Min Liu, Tariq Shehzad, Gary J Pierce, Rahul Chandnani, Sayan Das, Sameer Khanal, Jason G Wallace, John L Snider and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Hrithik ManglaPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Ankush SharmaPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Min LiuPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Tariq ShehzadPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Gary J PiercePlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Rahul ChandnaniPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Sayan DasPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.
Sameer KhanalPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-3342-0381
Jason G WallaceInstitute of Plant Breeding, Genetics and Genomics, Athens, Georgia, USA.
John L SniderDepartment of Crop & Soil Sciences, University of Georgia, Tifton, Georgia, USA.
Don C JonesCotton Incorporated, Cary, North Carolina, USA.
Peng W CheeDepartment of Crop & Soil Sciences, University of Georgia, Tifton, Georgia, USA.
Andrew H PatersonPlant Genome Mapping Laboratory, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0003-2159-0487

Funding

Cotton Incorporated Project 14-460Georgia Cotton Commission Project 13-462
6 · The paper itself

Abstract

Cotton (Gossypium hirsutum L.) breeding has primarily emphasized fiber yield and quality, yet plant architectural, developmental, and seed morphological traits also play key roles in productivity and management. Here, we dissect the genetic basis of four such traits: plant height (HT), number of nodes with one branch (N1B), days to flowering (DTF), and average surface area per seed (ASAS) using exotic × elite Upland cotton populations. Both population-specific and joint analyses of the populations identified 17 QTLs collectively, with ASAS having the largest number of detected QTLs. The exotic line T326 showed the highest potential for the improvement of ASAS. While HT, N1B, and DTF displayed limited genetic variance in these populations, gene ontology enrichment highlighted the CCR4-NOT complex as a potential shared regulatory hub connecting ASAS and DTF. In addition, ASAS showed a highly significant positive correlation and overlapping QTL regions with fiber strength and upper half mean length described in a companion paper, suggesting the possibility of strong linkage or pleiotropic effects of these genomic regions, which could be beneficial commercially. Overall, the data suggested no prevalence of negative allelic trade-offs or linkage drag from these secondary traits for the improvement of fiber quality traits, underscoring the value of exotic germplasm for simultaneous enhancement of fiber quality and seed morphology in Upland cotton breeding.

Indexed as

GossypiumSeedsChromosome MappingPhenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID42159171
PMCPMC13492605

What OpenQuestion holds

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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.