Evidence map›Paper›PMID 29889214›Full record

ArticleNature biotechnology2018

Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER.

Brandon G Wong, Christopher P Mancuso, Szilvia Kiriakov, Caleb J Bashor, Ahmad S Khalil

Abstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

108 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. OpenEvo: An Open-Source Platform for Automated Evolution and Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Protein structure shapes natural genetic variation andbioRxiv : the preprint server for biology · 2025
    Article
  12. Advances in adaptive laboratory evolution applications forSynthetic and systems biotechnology · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Brandon G WongBiological Design Center, Boston University, Boston, Massachusetts, USA.ORCID 0000-0003-1639-7594
Christopher P MancusoBiological Design Center, Boston University, Boston, Massachusetts, USA.ORCID 0000-0002-3974-3480
Szilvia KiriakovBiological Design Center, Boston University, Boston, Massachusetts, USA.ORCID 0000-0003-0232-8360
Caleb J BashorDepartment of Bioengineering, Rice University, Houston, Texas, USA.ORCID 0000-0003-1354-2098
Ahmad S KhalilBiological Design Center, Boston University, Boston, Massachusetts, USA.ORCID 0000-0002-8214-0546

Funding

Combatting antibiotic resistance with synthetic biology technologiesDP2AI131083 · NIAID · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KHALIL, AHMAD SAMIR · 2016 to 2016
$2.5M
NIAID NIH HHS DP2 AI131083
6 · The paper itself

Abstract

Precise control over microbial cell growth conditions could enable detection of minute phenotypic changes, which would improve our understanding of how genotypes are shaped by adaptive selection. Although automated cell-culture systems such as bioreactors offer strict control over liquid culture conditions, they often do not scale to high-throughput or require cumbersome redesign to alter growth conditions. We report the design and validation of eVOLVER, a scalable do-it-yourself (DIY) framework, which can be configured to carry out high-throughput growth experiments in molecular evolution, systems biology, and microbiology. High-throughput evolution of yeast populations grown at different densities reveals that eVOLVER can be applied to characterize adaptive niches. Growth selection on a genome-wide yeast knockout library, using temperatures varied over different timescales, finds strains sensitive to temperature changes or frequency of temperature change. Inspired by large-scale integration of electronics and microfluidics, we also demonstrate millifluidic multiplexing modules that enable multiplexed media routing, cleaning, vial-to-vial transfers and automated yeast mating.

Indexed as

BacteriaCell Culture TechniquesHigh-Throughput Screening AssaysSaccharomyces cerevisiae

Identifiers

PMID29889214
PMCPMC6035058

What OpenQuestion holds

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Registered trials

None linked

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.