Evidence map›Paper›PMID 33600605›Full record

ReviewJournal of experimental zoology. Part B, Molecular and developmental evolution2022

Dynamical systems approach to evolution-development congruence: Revisiting Haeckel's recapitulation theory.

Takahiro Kohsokabe, Kunihiko Kaneko

Abstract readReview
In one paragraph

Review in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamical systems approach to evolution-development congruence: Revisiting Haeckel's recapitulation theory.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2022
    Review
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.

Takahiro KohsokabeLaboratory for Evolutionary Morphology, RIKEN Center for Biosystems Dynamics Research, RIKEN, Kobe, Hyogo, Japan.ORCID 0000-0002-9005-3805
Kunihiko KanekoResearch Center for Complex Systems Biology, Universal Biology Institute, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6400-8587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is acknowledged that embryonic development has a tendency to proceed from common toward specific. Ernst Haeckel raised the question of why that tendency prevailed through evolution, and the question remains unsolved. Here, we revisit Haeckel's recapitulation theory, that is, the parallelism between evolution and development through numerical evolution and dynamical systems theory. By using intracellular gene expression dynamics with cell-to-cell interaction over spatially aligned cells to represent the developmental process, gene regulation networks (GRN) that govern these dynamics evolve under the selection pressure to achieve a prescribed spatial gene expression pattern. For most numerical evolutionary experiments, the evolutionary pattern changes over generations, as well as the developmental pattern changes governed by the evolved GRN exhibit remarkable similarity. Changes in both patterns consisted of several epochs where stripes are formed in a short time, whereas for other temporal regimes, the pattern hardly changes. In evolution, these quasi-stationary generations are needed to achieve relevant mutations, whereas, in development, they are due to some gene expressions that vary slowly and control the pattern change. These successive epochal changes in development and evolution are represented as common bifurcations in dynamical systems theory, regulating working network structure from feedforward subnetwork to those containing feedback loops. The congruence is the correspondence between successive acquisitions of subnetworks through evolution and changes in working subnetworks in development. Consistency of the theory with the segmentation gene-expression dynamics is discussed. Novel outlook on recapitulation and heterochrony are provided, testable experimentally by the transcriptome and network analysis.

Indexed as

Biological EvolutionDevelopmental BiologyAnimalsFeedbackGene Regulatory NetworksPhylogenydevelopmentdynamical systems theoryevolutionary simulationfeedbackfeed forwardgene regulation networkpattern formationrecapitulationslow mode

Identifiers

PMID33600605
PMCPMC9291011

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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.