ArticlePLoS genetics2019
The complex genetic architecture of shoot growth natural variation in Arabidopsis thaliana.
Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
- From phenoscope to GreenLab model of Arabidopsis to decipher genotype and treatment effects.Plant phenomics (Washington, D.C.) · 2026Article
- Early Response QTLs and DEGs Underlying Oil Palm Resistance toMicroorganisms · 2026Article
- MADI: A multispectral automated dynamic imager to monitor plant health.Plant phenomics (Washington, D.C.) · 2025Article
- Natural variation in response to combined water and nitrogen deficiencies in Arabidopsis.The Plant cell · 2024Article
- Enhanced recombination empowers the detection and mapping of Quantitative Trait Loci.Communications biology · 2024Article
- Current status of community resources and priorities for weed genomics research.Genome biology · 2024Review
- Environmental conditions modulate the effect of epigenetic factors controlling the response ofFrontiers in plant science · 2024Article
- Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape diversity patterns.PLoS biology · 2023Article
- A successive time-to-event model of phyllochron dynamics for hypothesis testing: application to the analysis of genetic and environmental effects in maize.Plant methods · 2023Article
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- Neighbor QTL: an interval mapping method for quantitative trait loci underlying plant neighborhood effects.G3 (Bethesda, Md.) · 2021Article
- Multiple Loci Control Variation in Plasticity to Foliar Shade Throughout Development inG3 (Bethesda, Md.) · 2020Article
- Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development.Scientific reports · 2020Article
- Maize Introgression Library Provides Evidence for the Involvement ofG3 (Bethesda, Md.) · 2020Article
- The genetic framework of shoot regeneration in Arabidopsis comprises master regulators and conditional fine-tuning factors.Communications biology · 2020Article
- Natural Variation in Plant Pluripotency and Regeneration.Plants (Basel, Switzerland) · 2020Review
- Deciphering Genetic Architecture of Adventitious Root and Related Shoot Traits inInternational journal of molecular sciences · 2019Article
- Natural variation in Arabidopsis shoot branching plasticity in response to nitrate supply affects fitness.PLoS genetics · 2019Article
- Linking genes with ecological strategies in Arabidopsis thaliana.Journal of experimental botany · 2019Review
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
One of the main outcomes of quantitative genetics approaches to natural variation is to reveal the genetic architecture underlying the phenotypic space. Complex genetic architectures are described as including numerous loci (or alleles) with small-effect and/or low-frequency in the populations, interactions with the genetic background, environment or age. Linkage or association mapping strategies will be more or less sensitive to this complexity, so that we still have an unclear picture of its extent. By combining high-throughput phenotyping under two environmental conditions with classical QTL mapping approaches in multiple Arabidopsis thaliana segregating populations as well as advanced near isogenic lines construction and survey, we have attempted to improve our understanding of quantitative phenotypic variation. Integrative traits such as those related to vegetative growth used in this work (highlighting either cumulative growth, growth rate or morphology) all showed complex and dynamic genetic architecture with respect to the segregating population and condition. The more resolutive our mapping approach, the more complexity we uncover, with several instances of QTLs visible in near isogenic lines but not detected with the initial QTL mapping, indicating that our phenotyping accuracy was less limiting than the mapping resolution with respect to the underlying genetic architecture. In an ultimate approach to resolve this complexity, we intensified our phenotyping effort to target specifically a 3Mb-region known to segregate for a major quantitative trait gene, using a series of selected lines recombined every 100kb. We discovered that at least 3 other independent QTLs had remained hidden in this region, some with trait- or condition-specific effects, or opposite allelic effects. If we were to extrapolate the figures obtained on this specific region in this particular cross to the genome- and species-scale, we would predict hundreds of causative loci of detectable phenotypic effect controlling these growth-related phenotypes.
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