Evidence map›Paper›PMID 31125482›Full record

ArticlePlant biotechnology journal2020

Strong temporal dynamics of QTL action on plant growth progression revealed through high-throughput phenotyping in canola.

Dominic Knoch, Amine Abbadi, Fabian Grandke, Rhonda C Meyer, Birgit Samans, Christian R Werner, Rod J Snowdon, Thomas Altmann

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 71 citations in OpenAlex.

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  9. Analysis of Growth Trajectories and Verification of Related SNPs inInternational journal of molecular sciences · 2023
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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

8 authors at 3 institutions in 1 country.

Dominic KnochMolecular Genetics/Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany.ORCID 0000-0002-9362-3105
Amine AbbadiNorddeutsche Pflanzenzucht Innovation GmbH (NPZi), Holtsee, Germany.
Fabian GrandkeDepartment of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (iFZ), Justus-Liebig-University Giessen, Giessen, Germany.
Rhonda C MeyerMolecular Genetics/Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany.
Birgit SamansDepartment of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (iFZ), Justus-Liebig-University Giessen, Giessen, Germany.
Christian R WernerDepartment of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (iFZ), Justus-Liebig-University Giessen, Giessen, Germany.
Rod J SnowdonDepartment of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition (iFZ), Justus-Liebig-University Giessen, Giessen, Germany.
Thomas AltmannMolecular Genetics/Heterosis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany.
Justus-Liebig-Universität Gießen · DELeibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DENorddeutsche Pflanzenzucht Hans-Georg Lembke (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge of plant biology is to unravel the genetic basis of complex traits. We took advantage of recent technical advances in high-throughput phenotyping in conjunction with genome-wide association studies to elucidate genotype-phenotype relationships at high temporal resolution. A diverse Brassica napus population from a commercial breeding programme was analysed by automated non-invasive phenotyping. Time-resolved data for early growth-related traits, including estimated biovolume, projected leaf area, early plant height and colour uniformity, were established and complemented by fresh and dry weight biomass. Genome-wide SNP array data provided the framework for genome-wide association analyses. Using time point data and relative growth rates, multiple robust main effect marker-trait associations for biomass and related traits were detected. Candidate genes involved in meristem development, cell wall modification and transcriptional regulation were detected. Our results demonstrate that early plant growth is a highly complex trait governed by several medium and many small effect loci, most of which act only during short phases. These observations highlight the importance of taking the temporal patterns of QTL/allele actions into account and emphasize the need for detailed time-resolved analyses to effectively unravel the complex and stage-specific contributions of genes affecting growth processes that operate at different developmental phases.

Indexed as

PhenotypeQuantitative Trait LociBrassica napusChromosome MappingGenotypeHigh-Throughput Nucleotide SequencingbiomassBrassicagenome-wide association studiesgrowth dynamicshigh-throughput phenotypingvegetative development

Identifiers

PMID31125482
PMCPMC6920335
OpenAlexW2945347170

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.