ArticleG3 (Bethesda, Md.)2016
Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale.
Article in G3 (Bethesda, Md.), 2016. 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.
- Article
- The adaptive molecular landscape of reprogrammed telomeric sequences.Nature communications · 2026Article
- Simple large-scale quantitative phenotyping and antimicrobial susceptibility testing with Q-PHAST.Nature protocols · 2026Review
- Local mitochondrial physiology defined by mtDNA quality guides purifying selection.PLoS genetics · 2026Article
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- Reproductive Isolation due to Divergent Ecological Selection Is Accompanied by Vast Genomic Instability in Experimentally Evolved Yeast Populations.Molecular ecology · 2025Article
- Article
- New reporters for monitoring cellular NMD.RNA (New York, N.Y.) · 2025Article
- Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting.Applied and environmental microbiology · 2025Article
- Article
- Robustness quantification of a mutant library screen revealed key genetic markers in yeast.Microbial cell factories · 2024Article
- Quantifying massively parallel microbial growth with spatially mediated interactions.PLoS computational biology · 2024Article
- The distribution of beneficial mutational effects between two sister yeast species poorly explains natural outcomes of vineyard adaptation.bioRxiv : the preprint server for biology · 2024Article
- Integrative analysis of yeast colony growth.Communications biology · 2024Article
- A Matlab-based application for quantification of yeast cell growth on solid media.Journal of the Royal Society, Interface · 2024Article
- Genome instability footprint under rapamycin and hydroxyurea treatments.PLoS genetics · 2023Article
- A Normalization Protocol Reduces Edge Effect in High-Throughput Analyses of Hydroxyurea Hypersensitivity in Fission Yeast.Biomedicines · 2023Article
- CRISPRi screen highlights chromatin regulation to be involved in formic acid tolerance inEngineering microbiology · 2023Article
- Article
- Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis.G3 (Bethesda, Md.) · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The capacity to map traits over large cohorts of individuals-phenomics-lags far behind the explosive development in genomics. For microbes, the estimation of growth is the key phenotype because of its link to fitness. We introduce an automated microbial phenomics framework that delivers accurate, precise, and highly resolved growth phenotypes at an unprecedented scale. Advancements were achieved through the introduction of transmissive scanning hardware and software technology, frequent acquisition of exact colony population size measurements, extraction of population growth rates from growth curves, and removal of spatial bias by reference-surface normalization. Our prototype arrangement automatically records and analyzes close to 100,000 growth curves in parallel. We demonstrate the power of the approach by extending and nuancing the known salt-defense biology in baker's yeast. The introduced framework represents a major advance in microbial phenomics by providing high-quality data for extensive cohorts of individuals and generating well-populated and standardized phenomics databases.
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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.