Evidence map›Paper›PMID 37506262›Full record

ArticleG3 (Bethesda, Md.)2023

Genetic dissection of morphological variation between cauliflower and a rapid cycling Brassica oleracea line.

Lan Shuan Shuang, Hugo Cuevas, Cornelia Lemke, Changsoo Kim, Tariq Shehzad, Andrew H Paterson

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. 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
0cells of the map it votes in
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

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

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

6 authors.

Lan Shuan ShuangPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Hugo CuevasPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Cornelia LemkePlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Changsoo KimPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Tariq ShehzadPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.
Andrew H PatersonPlant Genome Mapping Laboratory, University of Georgia, Athens, GA 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve resolution to small genomic regions and sensitivity to small-effect loci in the identification of genetic factors conferring the enlarged inflorescence and other traits of cauliflower while also expediting further genetic dissection, 104 near-isogenic introgression lines (NIILs) covering 78.56% of the cauliflower genome, were selected from an advanced backcross population using cauliflower [Brassica oleracea var. botrytis L., mutant for Orange gene (ORG)] as the donor parent and a rapid cycling line (TO1434) as recurrent parent. Subsets of the advanced backcross population and NIILs were planted in the field for 8 seasons, finding 141 marker-trait associations for 15 leaf-, stem-, and flower-traits. Exemplifying the usefulness of these lines, we delineated the previously known flower color gene to a 4.5 MB interval on C3; a gene for small plant size to a 3.4 MB region on C8; and a gene for large plant size and flowering time to a 6.1 MB region on C9. This approach unmasked closely linked QTL alleles with opposing effects (on chr. 8) and revealed both alleles with expected phenotypic effects and effects opposite the parental phenotypes. Selected B. oleracea NIILs with short generation time add new value to widely used research and teaching materials.

Indexed as

BrassicaFlowersGenes, PlantGenetic VariationPhenotypePlant Leavesadvanced backcross populationBrassica oleraceacauliflowermorphological traitsnear isogenic introgression linePlant Genetics and Genomics

Identifiers

PMID37506262
PMCPMC10627287

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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.