Evidence map›Paper›PMID 39345575›Full record

ArticlebioRxiv : the preprint server for biology2024

Varying recombination landscapes between individuals are driven by polymorphic transposable elements.

Yuheng Huang, Yi Gao, Kayla Ly, Leila Lin, Jan Paul Lambooij, Elizabeth G King, Aniek Janssen, Kevin H-C Wei, Yuh Chwen G Lee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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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

5 · Who and what money

Authors and funding

9 authors.

Yuheng HuangDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Yi GaoDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Kayla LyDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Leila LinDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Jan Paul LambooijCenter for Molecular Medicine, University Medical Center Utrecht, the Netherlands.
Elizabeth G KingDivision of Biological Sciences, University of Missouri, MO, USA.
Aniek JanssenCenter for Molecular Medicine, University Medical Center Utrecht, the Netherlands.
Kevin H-C WeiDepartment of Zoology, University of British Columbia, Canada.ORCID 0000-0002-1694-9582
Yuh Chwen G LeeDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.

Funding

How transposable elements drive genome evolution through epigenetic mechanismsR35GM142494 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Grace Yuh Chwen Lee · 2021 to 2026
$2.5M
The genetics of the Drosophila IIS pathway response to changing nutritionF32GM099382 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI KING, ELIZABETH GRIEP · 2012 to 2013
$90k
NIGMS NIH HHS F32 GM099382NIGMS NIH HHS R35 GM142494
6 · The paper itself

Abstract

Meiotic recombination is a prominent force shaping genome evolution, and understanding the causes for varying recombination landscapes within and between species has remained a central, though challenging, question. Recombination rates are widely observed to negatively associate with the abundance of transposable elements (TEs), selfish genetic elements that move between genomic locations. While such associations are usually interpreted as recombination influencing the efficacy of selection at removing TEs, accumulating findings suggest that TEs could instead be the cause rather than the consequence. To test this prediction, we formally investigated the influence of polymorphic, putatively active TEs on recombination rates. We developed and benchmarked a novel approach that uses PacBio long-read sequencing to efficiently, accurately, and cost-effectively identify crossovers (COs), a key recombination product, among large numbers of pooled recombinant individuals. By applying this approach to Drosophila strains with distinct TE insertion profiles, we found that polymorphic TEs, especially RNA-based TEs and TEs with local enrichment of repressive marks, reduce the occurrence of COs. Such an effect leads to different CO frequencies between homologous sequences with and without TEs, contributing to varying CO maps between individuals. The suppressive effect of TEs on CO is further supported by two orthogonal approaches-analyzing the distributions of COs in panels of recombinant inbred lines in relation to TE polymorphism and applying marker-assisted estimations of CO frequencies to isogenic strains with and without transgenically inserted TEs. Our investigations reveal how the constantly changing mobilome can actively modify recombination landscapes, shaping genome evolution within and between species.

Identifiers

PMID39345575
PMCPMC11429682

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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.