ArticleMolecular biology and evolution2014
The power to detect quantitative trait loci using resequenced, experimentally evolved populations of diploid, sexual organisms.
Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
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- Parallel adaptive responses to postponed reproduction increase lifespan and immune defense.bioRxiv : the preprint server for biology · 2026Article
- Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.Molecular biology and evolution · 2026Article
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- Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024Review
- A Path Integral Approach for Allele Frequency Dynamics Under Polygenic Selection.bioRxiv : the preprint server for biology · 2024Article
- Large changes in detected selection signatures after a selection limit in mice bred for voluntary wheel-running behavior.PloS one · 2024Article
- Unraveling the Molecular Basis of Stabilizing Selection by Experimental Evolution.Genome biology and evolution · 2023Article
- Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study.Genetics, selection, evolution : GSE · 2023Article
- Genome-Wide Association Study for Body Conformation Traits and Fitness in Czech Holsteins.Animals : an open access journal from MDPI · 2022Article
- Combining Metabolomics and Experimental Evolution Reveals Key Mechanisms Underlying Longevity Differences in Laboratory EvolvedInternational journal of molecular sciences · 2022Article
- The molecular architecture of Drosophila melanogaster defense against Beauveria bassiana explored through evolve and resequence and quantitative trait locus mapping.G3 (Bethesda, Md.) · 2021Article
- Highly Parallel Genomic Selection Response in Replicated Drosophila melanogaster Populations with Reduced Genetic Variation.Genome biology and evolution · 2021Article
- Crossing design shapes patterns of genetic variation in synthetic recombinant populations of Saccharomyces cerevisiae.Scientific reports · 2021Article
- The genetic architecture of temperature adaptation is shaped by population ancestry and not by selection regime.Genome biology · 2021Article
- The effects of adaptation to urea on feeding rates and growth inEcology and evolution · 2021Article
- Detecting selected haplotype blocks in evolve and resequence experiments.Molecular ecology resources · 2021Article
- The search for sexually antagonistic genes: Practical insights from studies of local adaptation and statistical genomics.Evolution letters · 2020Article
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3 authors.
Funding
Abstract
A novel approach for dissecting complex traits is to experimentally evolve laboratory populations under a controlled environment shift, resequence the resulting populations, and identify single nucleotide polymorphisms (SNPs) and/or genomic regions highly diverged in allele frequency. To better understand the power and localization ability of such an evolve and resequence (E&R) approach, we carried out forward-in-time population genetics simulations of 1 Mb genomic regions under a large combination of experimental conditions, then attempted to detect significantly diverged SNPs. Our analysis indicates that the ability to detect differentiation between populations is primarily affected by selection coefficient, population size, number of replicate populations, and number of founding haplotypes. We estimate that E&R studies can detect and localize causative sites with 80% success or greater when the number of founder haplotypes is over 500, experimental populations are replicated at least 25-fold, population size is at least 1,000 diploid individuals, and the selection coefficient on the locus of interest is at least 0.1. More achievable experimental designs (less replicated, fewer founder haplotypes, smaller effective population size, and smaller selection coefficients) can have power of greater than 50% to identify a handful of SNPs of which one is likely causative. Similarly, in cases where s ≥ 0.2, less demanding experimental designs can yield high power.
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