bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.11.21.689840

Crossover formation and coordinated assembly of synaptonemal complex relies on a direct interaction between Zip1 and Zip3

Abstract

Several proteins collaborate to promote the crossover recombination events critical for accurate chromosome segregation during meiosis. How these "ZMM" factors (Zip2, Zip3, Zip4, Spo16, Mer3 and MutS{gamma}) collaboratively function remains incompletely understood. We previously reported that Zip3s abundance and activity rely on the synaptonemal complex (SC) component Zip1, and specifically on Zip1s N-terminal residues associated with crossovers and coupling SC assembly to the crossover pathway. Here, we demonstrate that Zip3 co-immunoprecipitates Zip1 from meiotic cells independent of recombination initiation and other ZMMs, and that Zip3s interaction with Zip1 relies on Zip1s N terminal residues. Co-expression and pull-down experiments in bacterial cells demonstrate that Zip1 and Zip3 interact directly. Experiments to identify Zip3 regions required for the Zip1 interaction unexpectedly revealed an incorrectly annotated translational start; we also determined that Zip3s N-terminal structured region is necessary and sufficient for the interaction, and a predicted coil downstream of Zip3s RING domain is essential for specific activities attributed to Zip1s N-terminal tip such as proximity labeling of Zip3 by Zip2 and the coupling of crossover recombination to SC assembly. Finally, we discovered that interaction with Zip1 protects Zip3 not only from proteasome-mediated degradation but also from post-translational modification when another ZMM is absent. We propose that direct interaction with Zip1s N terminus orients Zip3 within a nascent ZMM ensemble in a manner that facilitates crossover formation and the coupling of crossover intermediates to SC assembly, and furthermore ensures Zip3 remains both abundant and unmodified until all requisite ZMMs have joined the group.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

MacQueen, A. J., Sharmin, S., Voelkel-Meiman, K., Poppel, A. J.. 2025-11-22. Crossover formation and coordinated assembly of synaptonemal complex relies on a direct interaction between Zip1 and Zip3. https://doi.org/10.1101/2025.11.21.689840

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗