Evidence map›Paper›PMID 38739641›Full record

ArticlePLoS computational biology2024

Agent-based modeling of nuclear chromosome ensembles identifies determinants of homolog pairing during meiosis.

Ariana Chriss, G Valentin Börner, Shawn D Ryan

Abstract read
In one paragraph

Article in PLoS computational biology, 2024. 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ariana ChrissDepartment of Mathematics and Statistics, Cleveland State University, Cleveland, Ohio, United States of America.ORCID 0000-0002-6319-328X
G Valentin BörnerDepartment of Biological, Geological, and Environmental Sciences, Cleveland State University, Cleveland, Ohio, United States of America.ORCID 0000-0001-6369-5119
Shawn D RyanDepartment of Mathematics and Statistics, Cleveland State University, Cleveland, Ohio, United States of America.ORCID 0000-0003-2468-1827

Funding

Replacement of Fluorescence Imaging SystemR01GM141698 · NIGMS · CLEVELAND STATE UNIVERSITY · PI BOERNER, VALENTIN · 2022 to 2025
$2.0M
NIGMS NIH HHS R01 GM141698
6 · The paper itself

Abstract

During meiosis, pairing of homologous chromosomes (homologs) ensures the formation of haploid gametes from diploid precursor cells, a prerequisite for sexual reproduction. Pairing during meiotic prophase I facilitates crossover recombination and homolog segregation during the ensuing reductional cell division. Mechanisms that ensure stable homolog alignment in the presence of an excess of non-homologous chromosomes have remained elusive, but rapid chromosome movements appear to play a role in the process. Apart from homolog attraction, provided by early intermediates of homologous recombination, dissociation of non-homologous associations also appears to contribute to homolog pairing, as suggested by the detection of stable non-homologous chromosome associations in pairing-defective mutants. Here, we have developed an agent-based model for homolog pairing derived from the dynamics of a naturally occurring chromosome ensemble. The model simulates unidirectional chromosome movements, as well as collision dynamics determined by attractive and repulsive forces arising from close-range physical interactions. Chromosome number and size as well as movement velocity and repulsive forces are identified as key factors in the kinetics and efficiency of homologous pairing in addition to homolog attraction. Dissociation of interactions between non-homologous chromosomes may contribute to pairing by crowding homologs into a limited nuclear area thus creating preconditions for close-range homolog attraction. Incorporating natural chromosome lengths, the model accurately recapitulates efficiency and kinetics of homolog pairing observed for wild-type and mutant meiosis in budding yeast, and can be adapted to nuclear dimensions and chromosome sets of other organisms.

Indexed as

Chromosome PairingMeiosisCell NucleusChromosomes, FungalComputational BiologyComputer SimulationModels, GeneticSaccharomyces cerevisiae

Identifiers

PMID38739641
PMCPMC11115365

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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.