Evidence map›Paper›PMID 32803624›Full record

ReviewJournal of biological physics2020

Magnitude and significance of the peak of early embryonic mortality.

Qinghua Chen, Zengru Di, Eduardo M García Roger, Hui Li, Peter Richmond, Bertrand M Roehner

Abstract readReview
In one paragraph

Review in Journal of biological physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Qinghua ChenSchool of Systems Science, Beijing Normal University, Beijing, China.
Zengru DiSchool of Systems Science, Beijing Normal University, Beijing, China.
Eduardo M García RogerInstitut Cavanilles de Biodiversitat i Biologia Evolutiva, University of València, València, Spain. eduardo.garcia@uv.es.ORCID 0000-0001-7112-8464
Hui LiSchool of Systems Science, Beijing Normal University, Beijing, China.
Peter RichmondSchool of Physics, Trinity College Dublin, Dublin, Ireland.
Bertrand M RoehnerInstitute for Theoretical and High Energy Physics (LPTHE), Pierre and Marie Curie Campus, Sorbonne University, National Center for Scientific Research (CNRS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryonic development is of great importance because it determines congenital anomalies and influences their severity. However, little is known about the actual probabilities of success or failure and about the nature of early embryonic defects. Here, we propose that the analysis of embryonic mortality as a function of post-fertilization time provides a simple way to identify major defects. By reviewing the literature, we show that even small initial defects, e.g., spatial cellular asymmetries or irregularities in the timing of development, carry with them lethal effects in subsequent stages of embryogenesis. Although initially motivated by human study, in this contribution, we review the few embryonic mortality data available for farm animals and highlight zebrafish as a particularly suited organism for such a kind of study because embryogenesis can be followed from its very beginning and observed easily thanks to eggshell transparency. In line with the few other farm animals for which data are available, we provide empirical evidence that embryonic mortality in zebrafish has a prominent peak shortly after fertilization. Indeed, we show how subsequent mortality rates decay according to a power law, supporting the role of the early embryonic mortality peak as a screening process rapidly removing defective embryos.

Indexed as

Embryonic DevelopmentMortalityAnimalsHumansDeath rateEmbryogenesisPost-fertilization ageScreeningZebrafish

Identifiers

PMID32803624
PMCPMC7441109

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.