Evidence map›Paper›PMID 17565937›Full record

SynthesisGenetics2007

Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development.

Junkang Rong, F Alex Feltus, Vijay N Waghmare, Gary J Pierce, Peng W Chee, Xavier Draye, Yehoshua Saranga, Robert J Wright, Thea A Wilkins, O Lloyd May and 4 more

Open access · bronzeAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 10 pooled it
22.0field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 10 syntheses or guidelines pooled it, 268 citations in OpenAlex.

  1. Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Pooled it
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  3. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
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  11. Review
  12. Article
  13. Article
  14. Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Meta-QTL analysis in wheat: progress, challenges and opportunities.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Review
  20. Article

53 more citing papers are in PubMed but not listed here.

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

14 authors at 7 institutions in 4 countries.

Junkang RongPlant Genome Mapping Laboratory, University of Georgia, 111 Riverbend Road, Athens, GA 30602, USA.
F Alex Feltus
Vijay N Waghmare
Gary J Pierce
Peng W Chee
Xavier Draye
Yehoshua Saranga
Robert J Wright
Thea A Wilkins
O Lloyd May
C Wayne Smith
John R Gannaway
Jonathan F Wendel
Andrew H Paterson
Texas Tech University · USCentral Institute for Cotton Research · INUniversity of Georgia · USHebrew University of Jerusalem · ILIowa State University · USTexas A&M University · USUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

QTL mapping experiments yield heterogeneous results due to the use of different genotypes, environments, and sampling variation. Compilation of QTL mapping results yields a more complete picture of the genetic control of a trait and reveals patterns in organization of trait variation. A total of 432 QTL mapped in one diploid and 10 tetraploid interspecific cotton populations were aligned using a reference map and depicted in a CMap resource. Early demonstrations that genes from the non-fiber-producing diploid ancestor contribute to tetraploid lint fiber genetics gain further support from multiple populations and environments and advanced-generation studies detecting QTL of small phenotypic effect. Both tetraploid subgenomes contribute QTL at largely non-homeologous locations, suggesting divergent selection acting on many corresponding genes before and/or after polyploid formation. QTL correspondence across studies was only modest, suggesting that additional QTL for the target traits remain to be discovered. Crosses between closely-related genotypes differing by single-gene mutants yield profoundly different QTL landscapes, suggesting that fiber variation involves a complex network of interacting genes. Members of the lint fiber development network appear clustered, with cluster members showing heterogeneous phenotypic effects. Meta-analysis linked to synteny-based and expression-based information provides clues about specific genes and families involved in QTL networks.

Indexed as

Chromosome MappingCotton FiberCrosses, GeneticDNA, PlantGenes, PlantGenome, PlantGossypiumMultigene FamilyMutationPhenotypePolyploidyQuantitative Trait LociDNA, Plant

Identifiers

PMID17565937
PMCPMC1950656
OpenAlexW2112653577

What OpenQuestion holds

Textmetadata
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.