ArticleJournal of experimental botany2015
Genome-wide association mapping of growth dynamics detects time-specific and general quantitative trait loci.
Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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.
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.
Who cites it
46 citing papers in PubMed, 90 citations in OpenAlex.
- Unraveling plant phenotype to genotype associations with daily hyperspectral traits inPlant phenomics (Washington, D.C.) · 2026Article
- BloomSight: An ultra-high-frequency phenotyping framework for diurnal flowering dynamics inPlant phenomics (Washington, D.C.) · 2026Article
- Genetic dynamics drive maize growth and breeding.Genome biology · 2026Article
- Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025Article
- Genome-Wide Association Study for Seed Yield of Tepary Bean Using Whole-Genome Resequencing.International journal of molecular sciences · 2024Article
- Natural variation in the prolyl 4-hydroxylase gene PtoP4H9 contributes to perennial stem growth in Populus.The Plant cell · 2023Article
- Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions.G3 (Bethesda, Md.) · 2023Article
- Article
- The field phenotyping platform's next darling: Dicotyledons.Frontiers in plant science · 2022Review
- Identification of Chilling Accumulation-Associated Genes for Litchi Flowering by Transcriptome-Based Genome-Wide Association Studies.Frontiers in plant science · 2022Article
- Article
- Identifying Developmental Patterns in Structured Plant Phenotyping Data.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Genome-wide association study and transcriptome analysis reveal key genes affecting root growth dynamics in rapeseed.Biotechnology for biofuels · 2021Article
- Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.The plant genome · 2021Article
- Polygenic adaptation of rosette growth in Arabidopsis thaliana.PLoS genetics · 2021Article
- Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development.Scientific reports · 2020Article
- Identification of quantitative trait loci associated with canopy temperature in soybean.Scientific reports · 2020Article
- Leveraging genome-enabled growth models to study shoot growth responses to water deficit in rice.Journal of experimental botany · 2020Article
- Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci.Plant direct · 2020Article
- High-Throughput Phenotyping (HTP) Data Reveal Dosage Effect at Growth Stages inPlants (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth is a complex trait determined by the interplay between many genes, some of which play a role at a specific moment during development whereas others play a more general role. To identify the genetic basis of growth, natural variation in Arabidopsis rosette growth was followed in 324 accessions by a combination of top-view imaging, high-throughput image analysis, modelling of growth dynamics, and end-point fresh weight determination. Genome-wide association (GWA) mapping of the temporal growth data resulted in the detection of time-specific quantitative trait loci (QTLs), whereas mapping of model parameters resulted in another set of QTLs related to the whole growth curve. The positive correlation between projected leaf area (PLA) at different time points during the course of the experiment suggested the existence of general growth factors with a function in multiple developmental stages or with prolonged downstream effects. Many QTLs could not be identified when growth was evaluated only at a single time point. Eleven candidate genes were identified, which were annotated to be involved in the determination of cell number and size, seed germination, embryo development, developmental phase transition, or senescence. For eight of these, a mutant or overexpression phenotype related to growth has been reported, supporting the identification of true positives. In addition, the detection of QTLs without obvious candidate genes implies the annotation of novel functions for underlying genes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.