Dataset Information

Single-cell expression noise and gene-body methylation in Arabidopsis thaliana.

ABSTRACT: Gene-body methylation (gbM) refers to an increased level of methylated cytosines specifically in a CG sequence context within genes. gbM is found in plant genes with intermediate expression level, which evolve slowly, and is often broadly conserved across millions of years of evolution. Intriguingly however, some plants lack gbM, and thus it remains unclear whether gbM has a function. In animals, there is support for a role of gbM in reducing erroneous transcription and transcription noise, but so far most studies in plants have tested for an effect of gbM on expression level, not noise. Here, we therefore tested whether gbM was associated with reduced expression noise in Arabidopsis thaliana, using single-cell transcriptome sequencing data from root quiescent centre cells. We find that gbM genes have lower expression noise levels than unmethylated genes. However, an analysis of covariance revealed that, if other genomic features are taken into account, this association disappears. Nonetheless, gbM genes were more consistently expressed across single-cell samples, supporting previous inference that gbM genes are constitutively expressed. Finally, we observed that fewer RNAseq reads map to introns of gbM genes than to introns of unmethylated genes, which indicates that gbM might be involved in reducing erroneous transcription by reducing intron retention.

SUBMITTER: Horvath R

PROVIDER: S-EPMC6781109 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Single-cell expression noise and gene-body methylation in Arabidopsis thaliana.

Horvath Robert R Laenen Benjamin B Takuno Shohei S Slotte Tanja T

Heredity 20190116 2

Gene-body methylation (gbM) refers to an increased level of methylated cytosines specifically in a CG sequence context within genes. gbM is found in plant genes with intermediate expression level, which evolve slowly, and is often broadly conserved across millions of years of evolution. Intriguingly however, some plants lack gbM, and thus it remains unclear whether gbM has a function. In animals, there is support for a role of gbM in reducing erroneous transcription and transcription noise, but ...[more]

PMID: 30651589

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Project description:Gene-body methylation (gbM) refers to sparse CG methylation of coding regions, which is especially prominent in evolutionarily conserved house-keeping genes. It is found in both plants and animals, but is directly and stably (epigenetically) inherited over multiple generations in the former. Studies in Arabidopsis thaliana have demonstrated that plants originating from different parts of the world exhibit genome-wide differences in gbM, which could reflect direct selection on gbM, but which could also reflect an epigenetic memory of ancestral genetic and/or environmental factors. Here we look for evidence of such factors in F2 plants resulting from a cross between a southern Swedish line with low gbM and a northern Swedish line with high gbM, grown at two different temperatures. Using bisulfite-sequencing data with nucleotide-level resolution on hundreds of individuals, we confirm that CG sites are either methylated (nearly 100% methylation across sampled cells) or unmethylated (approximately 0% methylation across sampled cells), and show that the higher level of gbM in the northern line is due to more sites being methylated. Furthermore, methylation variants almost always show Mendelian segregation, consistent with their being directly and stably inherited through meiosis. To explore how the differences between the parental lines could have arisen, we focused on somatic deviations from the inherited state, distinguishing between gains (relative to the inherited 0% methylation) and losses (relative to the inherited 100% methylation) at each site in the F2 generation. We demonstrate that deviations predominantly affect sites that differ between the parental lines, consistent with these sites being more mutable. Gains and losses behave very differently in terms of the genomic distribution, and are influenced by the local chromatin state. We find clear evidence for different trans-acting genetic polymorphism affecting gains and losses, with those affecting gains showing strong environmental interactions (G×E). Direct effects of the environment were minimal. In conclusion, we show that genetic and environmental factors can change gbM at a cellular level, and hypothesize that these factors can also lead to transgenerational differences between individuals via the inclusion of such changes in the zygote. If true, this could explain genographic pattern of gbM with selection, and would cast doubt on estimates of epimutation rates from inbred lines in constant environments.

Project description:BACKGROUND: Microarray technology is a widely used approach for monitoring genome-wide gene expression. For Arabidopsis, there are over 1,800 microarray hybridizations representing many different experimental conditions on Affymetrix ATH1 gene chips alone. This huge amount of data offers a unique opportunity to infer the principles that govern the regulation of gene expression in plants. RESULTS: We used bioinformatics methods to analyze publicly available data obtained using the ATH1 chip from Affymetrix. A total of 1887 ATH1 hybridizations were normalized and filtered to eliminate low-quality hybridizations. We classified and compared control and treatment hybridizations and determined differential gene expression. The largest differences in gene expression were observed when comparing samples obtained from different organs. On average, ten-fold more genes were differentially expressed between organs as compared to any other experimental variable. We defined "gene responsiveness" as the number of comparisons in which a gene changed its expression significantly. We defined genes with the highest and lowest responsiveness levels as hypervariable and housekeeping genes, respectively. Remarkably, housekeeping genes were best distinguished from hypervariable genes by differences in methylation status in their transcribed regions. Moreover, methylation in the transcribed region was inversely correlated (R2 = 0.8) with gene responsiveness on a genome-wide scale. We provide an example of this negative relationship using genes encoding TCA cycle enzymes, by contrasting their regulatory responsiveness to nitrate and methylation status in their transcribed regions. CONCLUSION: Our results indicate that the Arabidopsis transcriptome is largely established during development and is comparatively stable when faced with external perturbations. We suggest a novel functional role for DNA methylation in the transcribed region as a key determinant capable of restraining the capacity of a gene to respond to internal/external cues. Our findings suggest a prominent role for epigenetic mechanisms in the regulation of gene expression in plants.

Dataset Information

Single-cell expression noise and gene-body methylation in Arabidopsis thaliana.

Publications

Single-cell expression noise and gene-body methylation in Arabidopsis thaliana.

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