Evidence map›Paper›PMID 20083642›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2010

Idealization in evolutionary developmental investigation: a tension between phenotypic plasticity and normal stages.

Alan C Love

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Delta-Notch signalling in segmentation.Arthropod structure & development · 2017
    Review
  6. Developmental plasticity and the evolution of animal complex life cycles.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Review
  7. Phenotypic plasticity in development and evolution: facts and concepts. Introduction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    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

1 author.

Alan C LoveDepartment of Philosophy, Minnesota Center for Philosophy of Science, University of Minnesota, 831 Heller Hall, 271 19th Avenue South, Minneapolis, MN 55455, USA. aclove@umn.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idealization is a reasoning strategy that biologists use to describe, model and explain that purposefully departs from features known to be present in nature. Similar to other strategies of scientific reasoning, idealization combines distinctive strengths alongside of latent weaknesses. The study of ontogeny in model organisms is usually executed by establishing a set of normal stages for embryonic development, which enables researchers in different laboratory contexts to have standardized comparisons of experimental results. Normal stages are a form of idealization because they intentionally ignore known variation in development, including variation associated with phenotypic plasticity (e.g. via strict control of environmental variables). This is a tension between the phenomenon of plasticity and the practice of staging that has consequences for evolutionary developmental investigation because variation is conceptually removed as a part of rendering model organisms experimentally tractable. Two compensatory tactics for mitigating these consequences are discussed: employing a diversity of model organisms and adopting alternative periodizations.

Indexed as

Biological EvolutionGrowth and DevelopmentAnimalsGenetic VariationLife Cycle StagesModels, BiologicalPhenotypeSystems Biology

Identifiers

PMID20083642
PMCPMC2817145

What OpenQuestion holds

Textmetadata
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.