Evidence map›Paper›PMID 41292753›Full record

ArticlebioRxiv : the preprint server for biology2025

Structure-informed evolutionary analysis of the meiotic recombination machinery.

Meret Arter, Jeffrey Vedanayagam, Min Lu, Momar Diop, Kaixian Liu, Eric C Lai, Scott Keeney

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Meret ArterMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-1734-4622
Jeffrey VedanayagamDevelopmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-5013-7860
Min LuMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0009-0002-6004-1966
Momar DiopMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0003-3496-3959
Kaixian LiuMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0001-9711-6509
Eric C LaiDevelopmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-8432-5851
Scott KeeneyMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-1283-6417

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
Mechanism and regulation of meiotic recombinationR35GM118092 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Scott Keeney · 2016 to 2026
$7.0M
Essential roles for RNAi/hpRNAs to resolve intragenomic conflicts in the male germlineR01HD108914 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2022 to 2026
$2.9M
Structural and functional principles underlying germline genome transmissionR01HD110120 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI Scott Keeney, DINSHAW J PATEL · 2022 to 2026
$2.4M
Selfish meiotic drive and the role of RNAi in defending intragenomic conflictR00GM137077 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI Jeffrey Vedanayagam · 2024 to 2026
$735k
Selfish meiotic drive and the role of RNAi in defending intragenomic conflictK99GM137077 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI VEDANAYAGAM, JEFFREY · 2021 to 2022
$200k
NCI NIH HHS P30 CA008748NICHD NIH HHS R01 HD108914NICHD NIH HHS R01 HD110120NIGMS NIH HHS K99 GM137077NIGMS NIH HHS R00 GM137077NIGMS NIH HHS R01 GM083300NIGMS NIH HHS R35 GM118092
6 · The paper itself

Abstract

Despite being essential for fertility, many proteins involved in meiotic homologous recombination have diverged rapidly. The evolutionary forces driving this divergence remain mostly unknown, in part because of challenges in accounting for the interplay of sequence changes with constraints imposed by proteins' structures and physiological roles. Here, we explore strategies to more sensitively detect signatures of positive or relaxed selection by integrating evolutionary analyses with structural and functional information, using meiotic recombination proteins in four taxa-primates, rodents, birds and budding yeasts. By mapping selection rate estimates onto predicted protein structures, we characterized protein regions likely to have experienced positive selection. We further identified subtle sequence variation within protein domains that are well conserved generally because of structural constraints. To detect sequence variation masked by these constraints, we analyzed selection at structurally matched residues, comparing homologs across different lineages as well as between meiosis-specific and generalist paralogs. These approaches identified lineage- and paralog-restricted enrichment of non-synonymous substitutions that may indicate loss of functional constraints and/or adaptive innovation. Finally, we used cross-species complementation experiments in

Identifiers

PMID41292753
PMCPMC12642689

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LicenceCC BY
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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.