Chromatin Accessibility and Gene Expression Vary Between a New and Evolved Autopolyploid of <i>Arabidopsis arenosa</i>

Polyploids arise from whole-genome duplication (WGD) events, which have played important roles in genome evolution across eukaryotes. WGD can increase genome complexity, yield phenotypic novelty, and influence adaptation. Neo-polyploids have been reported to often show seemingly stochastic epigenetic and transcriptional changes, but this leaves open the question whether these changes persist in evolved polyploids. A powerful approach to address this is to compare diploids, neo-polyploids, and evolved polyploids of the same species. Arabidopsis arenosa is a species that allows us to do this-natural diploid and autotetraploid populations exist, while neo-tetraploids can be artificially generated. Here, we use ATAC-seq to assay local chromatin accessibility, and RNA-seq to study gene expression on matched leaf and petal samples from diploid, neo-tetraploid and evolved tetraploid A. arenosa. We found over 8,000 differentially accessible chromatin regions across all samples. These are largely tissue specific and show distinct trends across cytotypes, with roughly 70% arising upon WGD. Interestingly, only a small proportion is associated with expression changes in nearby genes. However, accessibility variation across cytotypes associates strongly with the number of nearby transposable elements. Relatively few genes were differentially expressed upon genome duplication, and ∼60% of these reverted to near-diploid levels in the evolved tetraploid, suggesting that most initial perturbations do not last. Our results provide new insights into how epigenomic and transcriptional mechanisms jointly respond to genome duplication and subsequent evolution of autopolyploids, and importantly, show that one cannot be directly predicted from the other.

Authors

Institutions

Publication Details

Journal
Molecular Biology and Evolution
Published
2024-10-01
DOI
https://doi.org/10.1093/molbev/msae213
Citations
7
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chromatin Accessibility and Gene Expression Vary Between a New and Evolved Autopolyploid of Arabidopsis arenosa

Adrián Gonzalo, Kirsten Bomblies, Thanvi Srikant
7 citations
Molecular Biology and Evolution
Chromosomal and Genetic Variations
4.20
article

Chromatin Accessibility and Gene Expression Vary Between a New and Evolved Autopolyploid of Arabidopsis arenosa

Adrián Gonzalo, Kirsten Bomblies, Thanvi Srikant
article en
7 citations

Abstract

Polyploids arise from whole-genome duplication (WGD) events, which have played important roles in genome evolution across eukaryotes. WGD can increase genome complexity, yield phenotypic novelty, and influence adaptation. Neo-polyploids have been reported to often show seemingly stochastic epigenetic and transcriptional changes, but this leaves open the question whether these changes persist in evolved polyploids. A powerful approach to address this is to compare diploids, neo-polyploids, and evolved polyploids of the same species. Arabidopsis arenosa is a species that allows us to do this-natural diploid and autotetraploid populations exist, while neo-tetraploids can be artificially generated. Here, we use ATAC-seq to assay local chromatin accessibility, and RNA-seq to study gene expression on matched leaf and petal samples from diploid, neo-tetraploid and evolved tetraploid A. arenosa. We found over 8,000 differentially accessible chromatin regions across all samples. These are largely tissue specific and show distinct trends across cytotypes, with roughly 70% arising upon WGD. Interestingly, only a small proportion is associated with expression changes in nearby genes. However, accessibility variation across cytotypes associates strongly with the number of nearby transposable elements. Relatively few genes were differentially expressed upon genome duplication, and ∼60% of these reverted to near-diploid levels in the evolved tetraploid, suggesting that most initial perturbations do not last. Our results provide new insights into how epigenomic and transcriptional mechanisms jointly respond to genome duplication and subsequent evolution of autopolyploids, and importantly, show that one cannot be directly predicted from the other.

Molecular Biology and EvolutionVol. 41(10)
ETH Zurich (CH), Institute of Plant Molecular Biology (CZ)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Life in Land
Openalex Percentile: Top 6%
Chromosomal and Genetic Variations
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.