{"title":"Chromatin Accessibility and Gene Expression Vary Between a New and Evolved Autopolyploid of Arabidopsis arenosa.","authors":"Thanvi Srikant, Adrián Gonzalo, Kirsten Bomblies","doi":"10.1093/molbev/msae213","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":18730,"journal":{"name":"Molecular biology and evolution","volume":" ","pages":""},"PeriodicalIF":11.0000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11518924/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular biology and evolution","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/molbev/msae213","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Molecular Biology and Evolution
Journal Overview:
Publishes research at the interface of molecular (including genomics) and evolutionary biology
Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic
Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research
Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.