Evidence map›Paper›PMID 31610371›Full record

ArticleiScience2019

Optimal Scaling of Critical Size for Metamorphosis in the Genus Drosophila.

Ken-Ichi Hironaka, Koichi Fujimoto, Takashi Nishimura

Abstract read
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. A dynamical model of growth and maturation inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  2. Mathematical modeling for developmental processes.Development, growth & differentiation · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. TheeLife · 2020
    Article
  9. Review
  10. 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

3 authors.

Ken-Ichi HironakaLaboratory of Theoretical Biology, Department of Biological Sciences, Osaka University, Osaka 560-0043, Japan; Laboratory for Growth Control Signaling, RIKEN Center for Biosystems Dynamics Research (BDR), Hyogo 650-0047, Japan. Electronic address: khironaka@bs.s.u-tokyo.ac.jp.
Koichi FujimotoLaboratory of Theoretical Biology, Department of Biological Sciences, Osaka University, Osaka 560-0043, Japan.
Takashi NishimuraLaboratory for Growth Control Signaling, RIKEN Center for Biosystems Dynamics Research (BDR), Hyogo 650-0047, Japan. Electronic address: t-nishimura@cdb.riken.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Juveniles must reach a critical body size to become a mature adult. Molecular determinants of critical size have been studied, but the evolutionary importance of critical size is still unclear. Here, using nine fly species, we show that interspecific variation in organism size can be explained solely by species-specific critical size. The observed variation in critical size quantitatively agrees with the interspecific scaling relationship predicted by the life history model, which hypothesizes that critical size mediates an energy allocation switch between juvenile and adult tissues. The mechanism underlying critical size scaling is explained by an inverse relationship between growth duration and growth rate, which cancels out their contributions to the final size. Finally, we show that evolutionary changes in growth duration can be traced back to the scaling of ecdysteroid hormone dynamics. We conclude that critical size adaptively optimizes energy allocation, and has a central role in organism size determination.

Indexed as

Biological SciencesDevelopmental BiologyEvolutionary Developmental BiologyMathematical Modelling

Identifiers

PMID31610371
PMCPMC6817650

What OpenQuestion holds

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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.