Evidence map›Paper›PMID 31364716›Full record

ReviewIntegrative and comparative biology2019

Individual Cryptic Scaling Relationships and the Evolution of Animal Form.

W Anthony Frankino, Eric Bakota, Ian Dworkin, Gerald S Wilkinson, Jason B Wolf, Alexander W Shingleton

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

W Anthony FrankinoDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, USA.
Eric BakotaDepartment of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, USA.
Ian DworkinDepartment of Biology, McMaster University, Hamilton, Ontario, Canada L9H 6X9.
Gerald S WilkinsonDepartment of Biology, University of Maryland, College Park, MD 20742, USA.
Jason B WolfMilner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.
Alexander W ShingletonDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial selection offers a powerful tool for the exploration of how selection and development shape the evolution of morphological scaling relationships. An emerging approach models the expression and evolution of morphological scaling relationships as a function of variation among individuals in the developmental mechanisms that regulate trait growth. These models posit the existence of genotype-specific morphological scaling relationships that are unseen or "cryptic." Within-population allelic variation at growth-regulating loci determines how these individual cryptic scaling relationships are distributed, and exposure to environmental factors that affect growth determines the size phenotype expressed by each individual on their cryptic, genotype-specific scaling relationship. These models reveal that evolution of the intercept and slope of the population-level static allometry is determined, often in counterintuitive ways, largely by the shape of the distribution of these underlying individual-level scaling relationships. Here we review this modeling framework and present the wing-body size individual cryptic scaling relationships from a population of Drosophila melanogaster. To determine how these models might inform interpretation of published work on scaling relationship evolution, we review studies where artificial selection was applied to alter the parameters of population-level static allometries. Finally, motivated by our review, we outline areas in need of empirical work and describe a research program to address these topics; the approach includes describing the distribution of individual cryptic scaling relationships across populations and environments, empirical testing of the model's predictions, and determining the effects of environmental heterogeneity on realized trait distributions and how this affects allometry evolution.

Indexed as

Biological EvolutionPhenotypeAnimalsBody SizeDrosophila melanogasterWings, Animal

Identifiers

PMID31364716
PMCPMC6863759

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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.