ArticleBMC systems biology2011
Systems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Converging functional phenotyping with systems mapping to illuminate the genotype-phenotype associations.Horticulture research · 2024Article
- The genetic architecture of trait covariation inFrontiers in plant science · 2023Article
- Competition-cooperation mechanism betweenFrontiers in microbiology · 2023Article
- A Holling Functional Response Model for Mapping QTLs Governing Interspecific Interactions.Frontiers in genetics · 2021Article
- A Multilayer Interactome Network Constructed in a Forest Poplar Population Mediates the Pleiotropic Control of Complex Traits.Frontiers in genetics · 2021Article
- Genetic Architecture of Multiphasic Growth Covariation as Revealed by a Nonlinear Mixed Mapping Framework.Frontiers in plant science · 2021Article
- Mapping Covariation Quantitative Trait Loci That Control Organ Growth and Whole-Plant Biomass.Frontiers in plant science · 2019Article
- A mapping framework of competition-cooperation QTLs that drive community dynamics.Nature communications · 2018Article
- Plastic expression of heterochrony quantitative trait loci (hQTLs) for leaf growth in the common bean (Phaseolus vulgaris).The New phytologist · 2015Article
- Mapping complex traits as a dynamic system.Physics of life reviews · 2015Review
- Article
- SS1 (NAL1)- and SS2-Mediated Genetic Networks Underlying Source-Sink and Yield Traits in Rice (Oryza sativa L.).PloS one · 2015Article
- Towards a comprehensive picture of the genetic landscape of complex traits.Briefings in bioinformatics · 2014Article
- Systems mapping of metabolic genes through control theory.Advanced drug delivery reviews · 2013Article
- Stochastic modeling of systems mapping in pharmacogenomics.Advanced drug delivery reviews · 2013Article
- Delivering systems pharmacogenomics towards precision medicine through mathematics.Advanced drug delivery reviews · 2013Review
- A maximum likelihood approach to functional mapping of longitudinal binary traits.Statistical applications in genetics and molecular biology · 2012Article
- Systems mapping of HIV-1 infection.BMC genetics · 2012Article
- Dynamic modeling of genes controlling cancer stem cell proliferation.Frontiers in genetics · 2012Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvery phenotypic trait can be viewed as a "system" in which a group of interconnected components function synergistically to yield a unified whole. Once a system's components and their interactions have been delineated according to biological principles, we can manipulate and engineer functionally relevant components to produce a desirable system phenotype.
resultsWe describe a conceptual framework for mapping quantitative trait loci (QTLs) that control complex traits by treating trait formation as a dynamic system. This framework, called systems mapping, incorporates a system of differential equations that quantifies how alterations of different components lead to the global change of trait development and function through genes, and provides a quantitative and testable platform for assessing the interplay between gene action and development. We applied systems mapping to analyze biomass growth data in a mapping population of soybeans and identified specific loci that are responsible for the dynamics of biomass partitioning to leaves, stem, and roots.
conclusionsWe show that systems mapping implemented by design principles of biological systems is quite versatile for deciphering the genetic machineries for size-shape, structural-functional, sink-source and pleiotropic relationships underlying plant physiology and development. Systems mapping should enable geneticists to shed light on the genetic complexity of any biological system in plants and other organisms and predict its physiological and pathological states.
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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.