ArticlePLoS computational biology2022
Modeling cell biological features of meiotic chromosome pairing to study interlock resolution.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Non-Canonical Male Meiosis in a Marine Gastropod,Biology · 2025Article
- Rewiring for movements in meiotic prophase: regulators, roles, and evolutionary pathways.Current opinion in genetics & development · 2025Review
- Formation and resolution of meiotic chromosome entanglements and interlocks.Journal of cell science · 2024Review
- Agent-based modeling of nuclear chromosome ensembles identifies determinants of homolog pairing during meiosis.PLoS computational biology · 2024Article
- Agent-based modeling of nuclear chromosome ensemble identifies determinants of homolog pairing during meiosis.bioRxiv : the preprint server for biology · 2024Article
- Beyond tradition: exploring the non-canonical functions of telomeres in meiosis.Frontiers in cell and developmental biology · 2023Article
- Kinetic analysis of synaptonemal complex dynamics during meiosis of yeastFrontiers in cell and developmental biology · 2023Article
- Advances and Perspectives for Polyploidy Breeding in Orchids.Plants (Basel, Switzerland) · 2022Review
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3 authors.
Funding
Abstract
During meiosis, homologous chromosomes become associated side by side in a process known as homologous chromosome pairing. Pairing requires long range chromosome motion through a nucleus that is full of other chromosomes. It remains unclear how the cell manages to align each pair of chromosomes quickly while mitigating and resolving interlocks. Here, we use a coarse-grained molecular dynamics model to investigate how specific features of meiosis, including motor-driven telomere motion, nuclear envelope interactions, and increased nuclear size, affect the rate of pairing and the mitigation/resolution of interlocks. By creating in silico versions of three yeast strains and comparing the results of our model to experimental data, we find that a more distributed placement of pairing sites along the chromosome is necessary to replicate experimental findings. Active motion of the telomeric ends speeds up pairing only if binding sites are spread along the chromosome length. Adding a meiotic bouquet significantly speeds up pairing but does not significantly change the number of interlocks. An increase in nuclear size slows down pairing while greatly reducing the number of interlocks. Interestingly, active forces increase the number of interlocks, which raises the question: How do these interlocks resolve? Our model gives us detailed movies of interlock resolution events which we then analyze to build a step-by-step recipe for interlock resolution. In our model, interlocks must first translocate to the ends, where they are held in a quasi-stable state by a large number of paired sites on one side. To completely resolve an interlock, the telomeres of the involved chromosomes must come in close proximity so that the cooperativity of pairing coupled with random motion causes the telomeres to unwind. Together our results indicate that computational modeling of homolog pairing provides insight into the specific cell biological changes that occur during meiosis.
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