Evidence map›Paper›PMID 33082255›Full record

ArticlemBio2020

Environmental and Physiological Factors Affecting High-Throughput Measurements of Bacterial Growth.

Esha Atolia, Spencer Cesar, Heidi A Arjes, Manohary Rajendram, Handuo Shi, Benjamin D Knapp, Somya Khare, Andrés Aranda-Díaz, Richard E Lenski, Kerwyn Casey Huang

Open access · goldAbstract read
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Microorganisms · 2026
    Article
  6. Article
  7. Maltose aids in the growth ofFEMS microbes · 2026
    Article
  8. Article
  9. Co-CulturingAntibiotics (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Article
  12. bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Microbial Primer: Bacterial growth kinetics.Microbiology (Reading, England) · 2024
    Article
  20. Article
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

10 authors at 3 institutions in 1 country.

Esha AtoliaDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, USA.
Spencer CesarDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.
Heidi A ArjesDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Manohary RajendramDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Handuo ShiDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-1688-6905
Benjamin D KnappBiophysics Program, Stanford University School of Medicine, Stanford, California, USA.
Somya KhareDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Andrés Aranda-DíazDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Richard E LenskiDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-1064-8375
Kerwyn Casey HuangDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California, USA kchuang@stanford.edu.ORCID 0000-0002-8043-8138
Stanford University · USChan Zuckerberg Initiative (United States) · USMichigan State University · US

Funding

Phenotypic profiling of bacterial stress response networks: A transformative framework for characterizing and predicting antibiotic targets and interactionsF32AI133917 · NIAID · STANFORD UNIVERSITY · PI RAJENDRAM, MANOHARY · 2018 to 2020
$151k
Howard Hughes Medical InstituteNIAID NIH HHS F32 AI133917
6 · The paper itself

Abstract

Bacterial growth under nutrient-rich and starvation conditions is intrinsically tied to the environmental history and physiological state of the population. While high-throughput technologies have enabled rapid analyses of mutant libraries, technical and biological challenges complicate data collection and interpretation. Here, we present a framework for the execution and analysis of growth measurements with improved accuracy over that of standard approaches. Using this framework, we demonstrate key biological insights that emerge from consideration of culturing conditions and history. We determined that quantification of the background absorbance in each well of a multiwell plate is critical for accurate measurements of maximal growth rate. Using mathematical modeling, we demonstrated that maximal growth rate is dependent on initial cell density, which distorts comparisons across strains with variable lag properties. We established a multiple-passage protocol that alleviates the substantial effects of glycerol on growth in carbon-poor media, and we tracked growth rate-mediated fitness increases observed during a long-term evolution of

Indexed as

Adaptation, PhysiologicalEnvironmentBacillus subtilisCulture MediaEscherichia coliGlycerolModels, TheoreticalPhenotypeCulture MediaGlyceroldensity-dependent growthglycerollag phaselong-term evolution experimentsteichoic acids

Identifiers

PMID33082255
PMCPMC7587430
OpenAlexW3094032958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.