ReviewPLoS genetics2012
Advances in quantitative trait analysis in yeast.
Review in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
93 citing papers in PubMed.
- Starter Yeast Selection and Utilization for the Production of Fermented-Fruit-Derived Beverages: Methodologies and Recent Advances.Foods (Basel, Switzerland) · 2026Review
- Protocol for mapping gene essentiality changes in yeast using inducible gene deletion mutants.STAR protocols · 2026Article
- High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map.Genome research · 2026Article
- Signatures of Innovation and Selection in the Extremotolerant Yeast Kluyveromyces marxianus.Genome biology and evolution · 2026Article
- QTL mapping, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing).Biotechnology for biofuels and bioproducts · 2026Article
- Discovery and validation of ASG1 as a novel determinant of NaCl tolerance in the yeast Saccharomyces cerevisiae through iterative crossing.G3 (Bethesda, Md.) · 2026Article
- From one genome to thousands, and beyond.FEMS yeast research · 2026Review
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- High-resolution, genotype-free mapping of genetic variation with CRI-SPA-Map.bioRxiv : the preprint server for biology · 2025Article
- Interaction of genetic variants activates latent metabolic pathways in yeast.Nature communications · 2025Article
- Identification of quantitative trait loci (QTLs) for key cheese making phenotypes in the blue-cheese mold Penicillium roqueforti.PLoS genetics · 2025Article
- Impact of inter-species hybridisation on antifungal drug response in the Saccharomyces genus.BMC genomics · 2024Article
- Article
- Embracing Complexity: Yeast Evolution Experiments Featuring Standing Genetic Variation.Journal of molecular evolution · 2023Review
- Fungal resilience and host-pathogen interactions: Future perspectives and opportunities.Parasite immunology · 2023Review
- Modern yeast development: finding the balance between tradition and innovation in contemporary winemaking.FEMS yeast research · 2023Review
- Natural Variation in Diauxic Shift between PatagonianmSystems · 2022Article
- Bulk segregant linkage mapping for rodent and human malaria parasites.Parasitology international · 2022Review
- Identification of genetic variants of the industrial yeast Komagataella phaffii (Pichia pastoris) that contribute to increased yields of secreted heterologous proteins.PLoS biology · 2022Article
- A widespread inversion polymorphism conserved among Saccharomyces species is caused by recurrent homogenization of a sporulation gene family.PLoS genetics · 2022Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Understanding the genetic mechanisms underlying complex traits is one of the next frontiers in biology. The budding yeast Saccharomyces cerevisiae has become an important model for elucidating the mechanisms that govern natural genetic and phenotypic variation. This success is partially due to its intrinsic biological features, such as the short sexual generation time, high meiotic recombination rate, and small genome size. Precise reverse genetics technologies allow the high throughput manipulation of genetic information with exquisite precision, offering the unique opportunity to experimentally measure the phenotypic effect of genetic variants. Population genomic and phenomic studies have revealed widespread variation between diverged populations, characteristic of man-made environments, as well as geographic clusters of wild strains along with naturally occurring recombinant strains (mosaics). Here, we review these recent studies and provide a perspective on how these previously unappreciated levels of variation can help to bridge our understanding of the genotype-phenotype gap, keeping budding yeast at the forefront of genetic studies. Not only are quantitative trait loci (QTL) being mapped with high resolution down to the nucleotide, for the first time QTLs of modest effect and complex interactions between these QTLs and between QTLs and the environment are being determined experimentally at unprecedented levels using next generation techniques of deep sequencing selected pools of individuals as well as multi-generational crosses.
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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.