Evidence map›Paper›PMID 29429618›Full record

ArticleCurrent biology : CB2018

Hidden Complexity of Yeast Adaptation under Simple Evolutionary Conditions.

Yuping Li, Sandeep Venkataram, Atish Agarwala, Barbara Dunn, Dmitri A Petrov, Gavin Sherlock, Daniel S Fisher

Abstract read
In one paragraph

Article in Current biology : CB, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Frequency-dependent fitness effects are ubiquitous.bioRxiv : the preprint server for biology · 2025
    Article
  8. Dynamic coexistence driven by physiological transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Convergent genetic adaptation ofFrontiers in molecular biosciences · 2024
    Article
  19. 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

7 authors.

Yuping LiDepartment of Biology, Stanford University, Stanford, CA 94305, USA.
Sandeep VenkataramDepartment of Biology, Stanford University, Stanford, CA 94305, USA.
Atish AgarwalaDepartment of Physics, Stanford University, Stanford, CA 94305, USA.
Barbara DunnDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, CA 94305, USA. Electronic address: dpetrov@stanford.edu.
Gavin SherlockDepartment of Genetics, Stanford University, Stanford, CA 94305, USA. Electronic address: gsherloc@stanford.edu.
Daniel S FisherDepartment of Applied Physics, Stanford University, Stanford, CA 94305, USA. Electronic address: dsfisher@stanford.edu.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Molecular Characterization of Adaptive EvolutionR01HG003328 · NHGRI · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2005 to 2015
$4.1M
Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Systematic Molecular Analysis of Antagonistic PleiotropyR01GM110275 · NIGMS · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2014 to 2017
$1.6M
COMPUTATIONAL METHODS FOR PROTEOMIC ANALYSISK22HG000044 · NHGRI · UNIVERSITY OF UTAH · PI GIDDINGS, MORGAN CORINNE · 2000 to 2005
$1.3M
High-resolution study of adaptation in haploid and diploid populations of yeastR01GM115919 · NIGMS · STANFORD UNIVERSITY · PI PETROV, DMITRI · 2015 to 2015
$312k
NHGRI NIH HHS K22 HG000044NHGRI NIH HHS R01 HG003328NHGRI NIH HHS T32 HG000044NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01 GM110275NIGMS NIH HHS R01 GM115919NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Few studies have "quantitatively" probed how adaptive mutations result in increased fitness. Even in simple microbial evolution experiments, with full knowledge of the underlying mutations and specific growth conditions, it is challenging to determine where within a growth-saturation cycle those fitness gains occur. A common implicit assumption is that most benefits derive from an increased exponential growth rate. Here, we instead show that, in batch serial transfer experiments, adaptive mutants' fitness gains can be dominated by benefits that are accrued in one growth cycle, but not realized until the next growth cycle. For thousands of evolved clones (most with only a single mutation), we systematically varied the lengths of fermentation, respiration, and stationary phases to assess how their fitness, as measured by barcode sequencing, depends on these phases of the growth-saturation-dilution cycles. These data revealed that, whereas all adaptive lineages gained similar and modest benefits from fermentation, most of the benefits for the highest fitness mutants came instead from the time spent in respiration. From monoculture and high-resolution pairwise fitness competition experiments for a dozen of these clones, we determined that the benefits "accrued" during respiration are only largely "realized" later as a shorter duration of lag phase in the following growth cycle. These results reveal hidden complexities of the adaptive process even under ostensibly simple evolutionary conditions, in which fitness gains can accrue during time spent in a growth phase with little cell division, and reveal that the memory of those gains can be realized in the subsequent growth cycle.

Indexed as

AcclimatizationAdaptation, PhysiologicalBiological EvolutionEvolution, MolecularGenetic FitnessMutationSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSelection, GeneticSaccharomyces cerevisiae Proteinsadaptationantagonistic pleiotropydiploidyexperimental evolutionfitnesshigh throughputRas/PKAserial dilutiontrade-offsyeast

Identifiers

PMID29429618
PMCPMC5823527

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Registered trials

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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.