ArticlePlant physiology2016
Genome-Wide Association Mapping and Genomic Prediction Elucidate the Genetic Architecture of Morphological Traits in Arabidopsis.
Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Population structure limits the use of genomic data for predicting phenotypes and managing genetic resources in forest trees.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- NIN-LIKE PROTEIN3.2 inhibits repressor Aux/IAA14 expression and enhances root biomass in maize seedlings under low nitrogen.The Plant cell · 2024Article
- GRABSEEDS: extraction of plant organ traits through image analysis.Plant methods · 2024Article
- Genomic and phenotypic characterization of finger millet indicates a complex diversification history.The plant genome · 2024Article
- Genome-wide association analysis reveals genes controlling an antagonistic effect of biotic and osmotic stress on Arabidopsis thaliana growth.Molecular plant pathology · 2024Article
- Drought response in Arabidopsis displays synergistic coordination between stems and leaves.Journal of experimental botany · 2023Article
- GWAS in tetraploid potato: identification and validation of SNP markers associated with glycoalkaloid content.Molecular breeding : new strategies in plant improvement · 2022Article
- cis-prenyltransferase 3 and α/β-hydrolase are new determinants of dolichol accumulation in Arabidopsis.Plant, cell & environment · 2022Article
- Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis.The Plant cell · 2022Article
- Naturally occurring circadian rhythm variation associated with clock gene loci in Swedish Arabidopsis accessions.Plant, cell & environment · 2021Article
- Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development.Scientific reports · 2020Article
- High-Throughput Genome-Wide Genotyping To Optimize the Use of Natural Genetic Resources in the Grassland Species Perennial Ryegrass (G3 (Bethesda, Md.) · 2020Article
- Natural variation of photosynthetic efficiency in Arabidopsis thaliana accessions under low temperature conditions.Plant, cell & environment · 2020Article
- The Root Foraging Response under Low Nitrogen Depends onPlant physiology · 2020Article
- Identification of QTLs involved in cold tolerance during the germination and bud stages of rice (Breeding science · 2020Article
- Genome-Wide Association Study and Genomic Prediction Elucidate the Distinct Genetic Architecture of Aluminum and Proton Tolerance inFrontiers in plant science · 2020Article
- Recent Progress in Germplasm Evaluation and Gene Mapping to Enable Breeding of Drought-Tolerant Wheat.Frontiers in plant science · 2020Review
- Incorporating Genome Annotation Into Genomic Prediction for Carcass Traits in Chinese Simmental Beef Cattle.Frontiers in genetics · 2020Article
- QTL and candidate genes associated with leaf anion concentrations in response to phosphate supply in Arabidopsis thaliana.BMC plant biology · 2019Article
- Natural variation in Arabidopsis shoot branching plasticity in response to nitrate supply affects fitness.PLoS genetics · 2019Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative traits in plants are controlled by a large number of genes and their interaction with the environment. To disentangle the genetic architecture of such traits, natural variation within species can be explored by studying genotype-phenotype relationships. Genome-wide association studies that link phenotypes to thousands of single nucleotide polymorphism markers are nowadays common practice for such analyses. In many cases, however, the identified individual loci cannot fully explain the heritability estimates, suggesting missing heritability. We analyzed 349 Arabidopsis accessions and found extensive variation and high heritabilities for different morphological traits. The number of significant genome-wide associations was, however, very low. The application of genomic prediction models that take into account the effects of all individual loci may greatly enhance the elucidation of the genetic architecture of quantitative traits in plants. Here, genomic prediction models revealed different genetic architectures for the morphological traits. Integrating genomic prediction and association mapping enabled the assignment of many plausible candidate genes explaining the observed variation. These genes were analyzed for functional and sequence diversity, and good indications that natural allelic variation in many of these genes contributes to phenotypic variation were obtained. For ACS11, an ethylene biosynthesis gene, haplotype differences explaining variation in the ratio of petiole and leaf length could be identified.
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