Evidence map›Paper›PMID 41979194›Full record

ReviewDevelopment (Cambridge, England)2026

The dynamic evolution of panarthropod germ cell specification mechanisms.

Jonchee A Kao, Emily L Rivard, Rishabh R Kapoor, Cassandra G Extavour

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jonchee A KaoDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-1701-3265
Emily L RivardDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0001-6675-9886
Rishabh R KapoorProgram for Systems, Synthetic and Quantitative Biology, Harvard University, Boston, MA 02138, USA.ORCID 0000-0003-3082-1507
Cassandra G ExtavourDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0003-2922-5855

Funding

Harvard University 1764269Howard Hughes Medical InstituteNational Science Foundation IOS-2220747
6 · The paper itself

Abstract

Germ cells enable the reproduction of an organism and the continuity of its lineage. Across animals, these crucial cells are segregated from the soma at different times and places and via distinct mechanisms. Understanding the evolution of germ cell specification across animals is complicated by the difficulty of making meaningful comparisons of embryonic development between diverse animal species. Here, we characterize germ cell specification in Panarthropoda, an ancient clade that encompasses massive animal biodiversity, within which we can conduct meaningful comparative embryology. We amass data from centuries of studies describing the timing and mechanisms of germ cell formation, and apply ancestral state reconstruction to these data to propose hypotheses about the trajectory of evolution in this process. Furthermore, we speculate about the mechanisms underlying these evolutionary dynamics by considering the relationships among germ cell specification, concurrent developmental processes and the germ line gene network. Collectively, this Review derives new insights from a rich historical database of embryological observations, offering broad implications for understanding the evolution of metazoan germ cells.

Indexed as

ArthropodsBiological EvolutionGerm CellsAnimalsCell DifferentiationCell LineageGene Expression Regulation, DevelopmentalSignal TransductionBMP signaling pathwayCytoplasmic determinantGerm plasmInductive signalingPole cells

Identifiers

PMID41979194
PMCPMC13120685

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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.