ArticleFrontiers in plant science2014
Meta-analysis of metabolome QTLs in Arabidopsis: trying to estimate the network size controlling genetic variation of the metabolome.
Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Parallel evolution of salinity tolerance inScience advances · 2025Article
- Manipulation of crossover frequency and distribution for plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Review
- Systems and Synthetic Biology of Forest Trees: A Bioengineering Paradigm for Woody Biomass Feedstocks.Frontiers in plant science · 2019Review
- Comparison of the Relative Potential for Epigenetic and Genetic Variation To Contribute to Trait Stability.G3 (Bethesda, Md.) · 2018Article
- Quantitative Resistance: More Than Just Perception of a Pathogen.The Plant cell · 2017Review
- Genetic dissection of metabolite variation in Arabidopsis seeds: evidence for mQTL hotspots and a master regulatory locus of seed metabolism.Journal of experimental botany · 2017Article
- Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis.BMC plant biology · 2017Article
- An Integrative Genetic Study of Rice Metabolism, Growth and Stochastic Variation Reveals Potential C/N Partitioning Loci.Scientific reports · 2016Article
- Isolate Dependency of Brassica rapa Resistance QTLs to Botrytis cinerea.Frontiers in plant science · 2016Article
- Natural Variation of Plant Metabolism: Genetic Mechanisms, Interpretive Caveats, and Evolutionary and Mechanistic Insights.Plant physiology · 2015Article
- Metabolic fingerprinting of Arabidopsis thaliana accessions.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A central goal of systems biology is to develop models that are both predictive and accurately describe the biological system. One complexity to this endeavor is that it is possible to develop models that appear predictive even if they use far fewer components than the biological system itself uses for the same process. This problem also occurs in quantitative genetics where it is often possible to describe the variation in a system using fewer genes than are actually variable due to the complications of linkage between causal polymorphisms and population structure. Thus, there is a crucial need to begin an empirical investigation into the true number of components that are used by biological systems to determine a phenotypic outcome. In this study, we use a meta-analysis of directly comparable metabolomics quantitative studies using quantitative trait locus mapping and genome wide association mapping to show that it is currently not possible to estimate how many genetic loci are truly polymorphic within Arabidopsis thaliana. Our analysis shows that it would require the analysis of at least a 1000 line bi-parental population to begin to estimate how many polymorphic loci control metabolic variation within Arabidopsis. Understanding the base number of loci that are actually involved in determining variation in metabolic systems is fundamental to developing systems models that are truly reflective of how metabolism is modulated within a living organism.
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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.