ArticlePLoS genetics2008
Genetic networks controlling structural outcome of glucosinolate activation across development.
Article in PLoS genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Pleiotropy, epistasis and the genetic architecture of quantitative traits.Nature reviews. Genetics · 2024Review
- Age-Dependent Growth-Related QTL Variations in Pacific Abalone,International journal of molecular sciences · 2023Article
- Diverse Allyl Glucosinolate Catabolites Independently Influence Root Growth and Development.Plant physiology · 2020Article
- Natural Variation of Plant Metabolism: Genetic Mechanisms, Interpretive Caveats, and Evolutionary and Mechanistic Insights.Plant physiology · 2015Article
- Quantitative Variation in Responses to Root Spatial Constraint within Arabidopsis thaliana.The Plant cell · 2015Article
- The conserved transcription factors, MYB115 and MYB118, control expression of the newly evolved benzoyloxy glucosinolate pathway in Arabidopsis thaliana.Frontiers in plant science · 2015Article
- Metabolic fingerprinting of Arabidopsis thaliana accessions.Frontiers in plant science · 2015Article
- Meta-analysis of metabolome QTLs in Arabidopsis: trying to estimate the network size controlling genetic variation of the metabolome.Frontiers in plant science · 2014Article
- Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation.Scientific reports · 2013Article
- Genomic analysis of QTLs and genes altering natural variation in stochastic noise.PLoS genetics · 2011Article
- Combining genome-wide association mapping and transcriptional networks to identify novel genes controlling glucosinolates in Arabidopsis thaliana.PLoS biology · 2011Article
- The complex genetic architecture of the metabolome.PLoS genetics · 2010Article
- Understanding the evolution of defense metabolites in Arabidopsis thaliana using genome-wide association mapping.Genetics · 2010Article
- Diversification in the genetic architecture of gene expression and transcriptional networks in organ differentiation of Populus.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- Systems biology uncovers the foundation of natural genetic diversity.Plant physiology · 2010Review
- Glucosinolate breakdown in Arabidopsis: mechanism, regulation and biological significance.The arabidopsis book · 2010Article
- Advancing genetic theory and application by metabolic quantitative trait loci analysis.The Plant cell · 2009Review
- The genetic basis of constitutive and herbivore-induced ESP-independent nitrile formation in Arabidopsis.Plant physiology · 2009Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most phenotypic variation present in natural populations is under polygenic control, largely determined by genetic variation at quantitative trait loci (QTLs). These genetic loci frequently interact with the environment, development, and each other, yet the importance of these interactions on the underlying genetic architecture of quantitative traits is not well characterized. To better study how epistasis and development may influence quantitative traits, we studied genetic variation in Arabidopsis glucosinolate activation using the moderately sized Bayreuth x Shahdara recombinant inbred population, in terms of number of lines. We identified QTLs for glucosinolate activation at three different developmental stages. Numerous QTLs showed developmental dependency, as well as a large epistatic network, centered on the previously cloned large-effect glucosinolate activation QTL, ESP. Analysis of Heterogeneous Inbred Families validated seven loci and all of the QTL x DPG (days post-germination) interactions tested, but was complicated by the extensive epistasis. A comparison of transcript accumulation data within 211 of these RILs showed an extensive overlap of gene expression QTLs for structural specifiers and their homologs with the identified glucosinolate activation loci. Finally, we were able to show that two of the QTLs are the result of whole-genome duplications of a glucosinolate activation gene cluster. These data reveal complex age-dependent regulation of structural outcomes and suggest that transcriptional regulation is associated with a significant portion of the underlying ontogenic variation and epistatic interactions in glucosinolate activation.
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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.