Strong temporal dynamics of QTL action on plant growth progression revealed through high‐throughput phenotyping in canola Article Swipe
Dominic Knoch
,
Amine Abbadi
,
Fabian Grandke
,
Rhonda C. Meyer
,
Birgit Samans
,
Christian R. Werner
,
Rod J. Snowdon
,
Thomas Altmann
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1111/pbi.13171
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1111/pbi.13171
Summary 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.
Related Topics
Concepts
Biology
Quantitative trait locus
Canola
Genome-wide association study
Genetics
Trait
Genome
Computational biology
Allele
Genetic association
Phenotype
Gene
Genotype
Single-nucleotide polymorphism
Botany
Computer science
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/pbi.13171
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/pbi.13171
- OA Status
- gold
- Cited By
- 67
- References
- 99
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2945347170
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2945347170Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/pbi.13171Digital Object Identifier
- Title
-
Strong temporal dynamics of QTL action on plant growth progression revealed through high‐throughput phenotyping in canolaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-05-24Full publication date if available
- Authors
-
Dominic Knoch, Amine Abbadi, Fabian Grandke, Rhonda C. Meyer, Birgit Samans, Christian R. Werner, Rod J. Snowdon, Thomas AltmannList of authors in order
- Landing page
-
https://doi.org/10.1111/pbi.13171Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/pbi.13171Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/pbi.13171Direct OA link when available
- Concepts
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Biology, Quantitative trait locus, Canola, Genome-wide association study, Genetics, Trait, Genome, Computational biology, Allele, Genetic association, Phenotype, Gene, Genotype, Single-nucleotide polymorphism, Botany, Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
67Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 8, 2023: 12, 2022: 8, 2021: 19Per-year citation counts (last 5 years)
- References (count)
-
99Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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