Evidence map›Paper›PMID 30682014›Full record

ArticlePLoS biology2019

Environment-dependent pleiotropic effects of mutations on the maximum growth rate r and carrying capacity K of population growth.

Xinzhu Wei, Jianzhi Zhang

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Patterns and evolutionary consequences of pleiotropy.Annual review of ecology, evolution, and systematics · 2023
    Article
  13. Article
  14. What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023
    Review
  15. Article
  16. Article
  17. Correlational selection in the age of genomics.Nature ecology & evolution · 2021
    Review
  18. Caution in testing phenotypic selection.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

2 authors.

Xinzhu WeiDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0001-8184-7016
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0001-6141-1290

Funding

Pleiotropy: patterns, mechanisms, and evolutionary consequencesR01GM103232 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIANZHI · 2013 to 2020
$1.8M
Position effects on gene expression level and noiseR01GM120093 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIANZHI · 2016 to 2019
$1.2M
NIGMS NIH HHS R01 GM103232NIGMS NIH HHS R01 GM120093
6 · The paper itself

Abstract

Maximum growth rate per individual (r) and carrying capacity (K) are key life-history traits that together characterize the density-dependent population growth and therefore are crucial parameters of many ecological and evolutionary theories such as r/K selection. Although r and K are generally thought to correlate inversely, both r/K tradeoffs and trade-ups have been observed. Nonetheless, neither the conditions under which each of these relationships occur nor the causes of these relationships are fully understood. Here, we address these questions using yeast as a model system. We estimated r and K using the growth curves of over 7,000 yeast recombinants in nine environments and found that the r-K correlation among genotypes changes from 0.53 to -0.52 with the rise of environment quality, measured by the mean r of all genotypes in the environment. We respectively mapped quantitative trait loci (QTLs) for r and K in each environment. Many QTLs simultaneously influence r and K, but the directions of their effects are environment dependent such that QTLs tend to show concordant effects on the two traits in poor environments but antagonistic effects in rich environments. We propose that these contrasting trends are generated by the relative impacts of two factors-the tradeoff between the speed and efficiency of ATP production and the energetic cost of cell maintenance relative to reproduction-and demonstrate an agreement between model predictions and empirical observations. These results reveal and explain the complex environment dependency of the r-K relationship, which bears on many ecological and evolutionary phenomena and has biomedical implications.

Indexed as

Population DensityBiological EvolutionConservation of Natural ResourcesGene-Environment InteractionGenetic PleiotropyGenotypeModels, BiologicalMutationPhenotypePopulation GrowthQuantitative Trait LociReproductionSaccharomyces cerevisiaeYeasts

Identifiers

PMID30682014
PMCPMC6364931

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.