ReviewTrends in genetics : TIG2016
The Power of Natural Variation for Model Organism Biology.
Review in Trends in genetics : TIG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
44 citing papers in PubMed.
- Phenogenomic resources immortalized in a panel of wild-derived strains of five species of house mice.Scientific reports · 2025Article
- Development of attenuated Orf virus as a safe oncolytic viral vector for nasopharyngeal carcinoma treatment.Virology journal · 2025Article
- Impact of fluoxetine exposure onFrontiers in pharmacology · 2025Article
- eQTL mapping in transgenic alpha-synuclein carrying Caenorhabditis elegans recombinant inbred lines.Human molecular genetics · 2024Article
- Genes controlling hydrolysate toxin tolerance identified by QTL analysis of the natural Saccharomyces cerevisiae BCC39850.Applied microbiology and biotechnology · 2024Article
- Improvement of starvation resistance via periodic fasting is genetically variable inPhysiological entomology · 2024Article
- Candida albicans natural diversity: a resource to dissect fungal commensalism and pathogenesis.Current opinion in microbiology · 2024Review
- Natural variation in yeast reveals multiple paths for acquiring higher stress resistance.BMC biology · 2024Article
- Molecular Approaches Detect Early Signals of Programmed Cell Death inCurrent issues in molecular biology · 2024Article
- A PLURIPOTENT STEM CELL PLATFORM FOR IN VITRO SYSTEMS GENETICS STUDIES OF MOUSE DEVELOPMENT.bioRxiv : the preprint server for biology · 2024Article
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- Article
- Gene-by-environment interactions influence the fitness cost of gene copy-number variation in yeast.G3 (Bethesda, Md.) · 2023Article
- Model worms: knowledge gains and risks associated with the use of model species in parasitological research.Parasitology · 2023Review
- Gene-by-environment interactions influence the fitness cost of gene copy-number variation in yeast.bioRxiv : the preprint server for biology · 2023Article
- Genetics of behavioural evolution in giant mice from Gough Island.Proceedings. Biological sciences · 2023Article
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- Macroevolutionary diversity of traits and genomes in the model yeast genus Saccharomyces.Nature communications · 2023Article
- Article
- Investigation of the Oxidative Stress Response of a Green Synthesis Nanoparticle (RP-Ag/ACNPs) in Zebrafish.Biological trace element research · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Genetic background effects have long been recognized and, in some cases studied, but they are often viewed as a nuisance by molecular biologists. We suggest that genetic variation currently represents a critical frontier for molecular studies. Human genetics has seen a surge of interest in genetic variation and its contributions to disease, but insights into disease mechanisms are difficult since information about gene function is lacking. By contrast, model organism genetics has excelled at revealing molecular mechanisms of cellular processes, but often de-emphasizes genetic variation and its functional consequences. We argue that model organism biology would benefit from incorporating natural variation, both to capture how well laboratory lines exemplify the species they represent and to inform on molecular processes and their variability. Such a synthesis would also greatly expand the relevance of model systems for studies of complex trait variation, including disease.
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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.