ArticleGenetics2019
Maximum Likelihood Estimation of Fitness Components in Experimental Evolution.
Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
22 citing papers in PubMed.
- Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026Article
- Assessing target genes for homing suppression gene drive.The EMBO journal · 2026Article
- Selection Estimation from Genetic Time-Series Data: Effects of Limited Sampling and Genetic Drift.Molecular biology and evolution · 2025Article
- Population suppression by release of insects carrying a dominant sterile homing gene drive targeting doublesex in Drosophila.Nature communications · 2024Article
- Germline Cas9 promoters with improved performance for homing gene drive.Nature communications · 2024Article
- A small-molecule approach to restore female sterility phenotype targeted by a homing suppression gene drive in the fruit pest Drosophila suzukii.PLoS genetics · 2024Article
- Fitness effects of CRISPR endonucleases ineLife · 2022Article
- A homing suppression gene drive with multiplexed gRNAs maintains high drive conversion efficiency and avoids functional resistance alleles.G3 (Bethesda, Md.) · 2022Article
- Experimental demonstration of tethered gene drive systems for confined population modification or suppression.BMC biology · 2022Article
- Predicting the genomic resolution of bulk segregant analysis.G3 (Bethesda, Md.) · 2022Article
- Gene-drive suppression of mosquito populations in large cages as a bridge between lab and field.Nature communications · 2021Article
- The complete chloroplast genome sequence ofMitochondrial DNA. Part B, Resources · 2021Article
- The complete chloroplast genome sequence and phylogenetic analysis of Ilex × Koehneana 'Wirt L. Winn' (Aquifoliaceae).Mitochondrial DNA. Part B, Resources · 2021Article
- The complete chloroplast genome sequence and phylogenetic analysis ofMitochondrial DNA. Part B, Resources · 2021Article
- The complete chloroplast genome ofMitochondrial DNA. Part B, Resources · 2021Article
- Complete chloroplast genome sequence and phylogenetic analysis ofMitochondrial DNA. Part B, Resources · 2021Article
- Characterization of the complete chloroplast genome ofMitochondrial DNA. Part B, Resources · 2021Article
- A CRISPR homing gene drive targeting a haplolethal gene removes resistance alleles and successfully spreads through a cage population.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The complete chloroplast genome of Ilex 'Emily Bruner', Ilex cornuta 'Burfordii' × Ilex latifolia (Aquifoliaceae).Mitochondrial DNA. Part B, Resources · 2020Article
- TheeLife · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Estimating fitness differences between allelic variants is a central goal of experimental evolution. Current methods for inferring such differences from allele frequency time series typically assume that the effects of selection can be described by a fixed selection coefficient. However, fitness is an aggregate of several components including mating success, fecundity, and viability. Distinguishing between these components could be critical in many scenarios. Here, we develop a flexible maximum likelihood framework that can disentangle different components of fitness from genotype frequency data, and estimate them individually in males and females. As a proof-of-principle, we apply our method to experimentally evolved cage populations of
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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.