ArticleG3 (Bethesda, Md.)2017
iSeq: A New Double-Barcode Method for Detecting Dynamic Genetic Interactions in Yeast.
Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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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
24 citing papers in PubMed.
- Synthetic rescue in Saccharomyces cerevisiae: Concepts, large-scale genetic mapping, and functional implications.Journal of microbiology (Seoul, Korea) · 2026Review
- Article
- CRI-SPA: a high-throughput method for systematic genetic editing of yeast libraries.Nucleic acids research · 2023Article
- Resolving Deleterious and Near-Neutral Effects Requires Different Pooled Fitness Assay Designs.Journal of molecular evolution · 2023Article
- Fit-Seq2.0: An Improved Software for High-Throughput Fitness Measurements Using Pooled Competition Assays.Journal of molecular evolution · 2023Article
- DASH/Dam1 complex mutants stabilize ploidy in histone-humanized yeast by weakening kinetochore-microtubule attachments.The EMBO journal · 2023Article
- Phenomics approaches to understand genetic networks and gene function in yeast.Biochemical Society transactions · 2022Article
- Epi-Decoder: Decoding the Local Proteome of a Genomic Locus by Massive Parallel Chromatin Immunoprecipitation Combined with DNA-Barcode Sequencing.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Changes in the distribution of fitness effects and adaptive mutational spectra following a single first step towards adaptation.Nature communications · 2021Article
- Adaptation is influenced by the complexity of environmental change during evolution in a dynamic environment.PLoS genetics · 2021Article
- Chromosomal barcoding of E. coli populations reveals lineage diversity dynamics at high resolution.Nature ecology & evolution · 2020Article
- Recent insights into the genotype-phenotype relationship from massively parallel genetic assays.Evolutionary applications · 2019Review
- Aneuploidy in yeast: Segregation error or adaptation mechanism?Yeast (Chichester, England) · 2019Article
- iSeq 2.0: A Modular and Interchangeable Toolkit for Interaction Screening in Yeast.Cell systems · 2019Article
- Improved discovery of genetic interactions using CRISPRiSeq across multiple environments.Genome research · 2019Article
- Review
- The dynamics of adaptive genetic diversity during the early stages of clonal evolution.Nature ecology & evolution · 2019Article
- Article
- Mapping DNA damage-dependent genetic interactions in yeast via party mating and barcode fusion genetics.Molecular systems biology · 2018Article
- Chromosomal barcoding as a tool for multiplexed phenotypic characterization of laboratory evolved lineages.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Systematic screens for genetic interactions are a cornerstone of both network and systems biology. However, most screens have been limited to characterizing interaction networks in a single environment. Moving beyond this static view of the cell requires a major technological advance to increase the throughput and ease of replication in these assays. Here, we introduce iSeq-a platform to build large double barcode libraries and rapidly assay genetic interactions across environments. We use iSeq in yeast to measure fitness in three conditions of nearly 400 clonal strains, representing 45 possible single or double gene deletions, including multiple replicate strains per genotype. We show that iSeq fitness and interaction scores are highly reproducible for the same clonal strain across replicate cultures. However, consistent with previous work, we find that replicates with the same putative genotype have highly variable genetic interaction scores. By whole-genome sequencing 102 of our strains, we find that segregating variation and de novo mutations, including aneuploidy, occur frequently during strain construction, and can have large effects on genetic interaction scores. Additionally, we uncover several new environment-dependent genetic interactions, suggesting that barcode-based genetic interaction assays have the potential to significantly expand our knowledge of genetic interaction networks.
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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.