Mouse strain-specific polymorphic provirus functions as cis-regulatory element leading to epigenomic and
Xuemeng Zhou1, Tsz Wing Sam1, Ah Young Lee2
1Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, SAR, China.
Nature Communications
|November 10, 2021
Summary
Polymorphic endogenous retroviruses (ERVs) can regulate gene expression and influence phenotypes. This study reveals how a specific polymorphic ERV element affects epigenetics and gene activity, contributing to differences between mouse strains.
Area of Science:
- Genomics
- Epigenetics
- Molecular Biology
Background:
- Polymorphic endogenous retroviruses (ERVs) are integrated into genomes and can influence host gene activity.
- The precise mechanisms by which ERVs impact epigenomes, transcriptomes, and drive variation within species are not fully understood.
Purpose of the Study:
- To investigate the molecular mechanisms of how polymorphic ERVs affect epigenetics and gene expression.
- To identify specific polymorphic ERV elements and their regulatory roles in driving intra-specific variation.
Main Methods:
- Utilized wildtype murine embryonic stem cells (mESCs) from diverse genetic backgrounds.
- Analyzed the impact of a polymorphic MMERGLN (GLN) element on H3K27ac enrichment and neighboring gene transcription.
- Identified thousands of potential polymorphic ERVs in mESCs and assessed their association with chromatin states and transcription.
Main Results:
- Discovered a polymorphic MMERGLN (GLN) element that regulates H3K27ac enrichment and neighboring gene transcription.
- Demonstrated that this element enhances Klhdc4 gene expression, affecting downstream stress response genes.
- Found thousands of polymorphic ERVs in mESCs, with some showing links between proviral activity and epigenetic/transcriptional states.
Conclusions:
- Polymorphic ERV-derived cis-regulatory elements contribute to differential phenotypes between mouse strains.
- These findings elucidate how polymorphic ERVs shape epigenomes and transcriptional networks, leading to phenotypic divergence.
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