ArticlemSystems2019
Culturing the Uncultured: Risk versus Reward.
Article in mSystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
The trial behind it
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
14 citing papers in PubMed.
- Article
- Variations in deep-sea microbial composition and assembly mechanisms under different culture strategies.Frontiers in microbiology · 2026Article
- Review
- Genome-scale metabolic models consistently predictFrontiers in bioinformatics · 2023Article
- Towards standardized and reproducible research in skin microbiomes.Environmental microbiology · 2022Review
- Cultivating marine bacteria under laboratory conditions: Overcoming the "unculturable" dogma.Frontiers in bioengineering and biotechnology · 2022Article
- Screening Strategies for Biosurfactant Discovery.Advances in biochemical engineering/biotechnology · 2022Article
- Heme auxotrophy in abundant aquatic microbial lineages.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Mining genomes to illuminate the specialized chemistry of life.Nature reviews. Genetics · 2021Review
- Portable and Rapid Sequencing Device with Microbial Community-Guided Culture Strategies for Precious Field and Environmental Samples.mSystems · 2021Article
- Innovations to culturing the uncultured microbial majority.Nature reviews. Microbiology · 2021Review
- High-throughput cultivation based on dilution-to-extinction with catalase supplementation and a case study of cultivating acI bacteria from Lake Soyang.Journal of microbiology (Seoul, Korea) · 2020Article
- Discovering the indigenous microbial communities associated with the natural fermentation of sap from the cider gum Eucalyptus gunnii.Scientific reports · 2020Article
- Expanding the Diversity of Bacterioplankton Isolates and Modeling Isolation Efficacy with Large-Scale Dilution-to-Extinction Cultivation.Applied and environmental microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Isolation of new microorganisms is challenging, but cultures are invaluable resources for experimental validation of phenotype, ecology, and evolutionary processes. Although the number of new isolates continues to grow, the majority of cultivars still come from a limited number of phylogenetic groups and environments, necessitating investment in new cultivation efforts. While most microbiologists probably agree that axenic cultures have great value, we need to collectively put our money where our mouth is. I propose that we examine cultivation from the perspective of expected value to rationally incorporate risks and rewards of isolating new microbes. If we can even broadly constrain the cultivation probability and relative values of isolates, we can use this information to evaluate and improve experimental design. There are numerous scenarios for which isolation projects have positive expectations and therefore represent a sound investment.
Indexed as
Identifiers
What OpenQuestion holds
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.