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Protein-coding genes are epigenetically regulated in Arabidopsis polyploids.

ABSTRACT: The fate of redundant genes resulting from genome duplication is poorly understood. Previous studies indicated that ribosomal RNA genes from one parental origin are epigenetically silenced during interspecific hybridization or polyploidization. Regulatory mechanisms for protein-coding genes in polyploid genomes are unknown, partly because of difficulty in studying expression patterns of homologous genes. Here we apply amplified fragment length polymorphism (AFLP)-cDNA display to perform a genome-wide screen for orthologous genes silenced in Arabidopsis suecica, an allotetraploid derived from Arabidopsis thaliana and Cardaminopsis arenosa. We identified ten genes that are silenced from either A. thaliana or C. arenosa origin in A. suecica and located in four of the five A. thaliana chromosomes. These genes represent a variety of RNA and predicted proteins including four transcription factors such as TCP3. The silenced genes in the vicinity of TCP3 are hypermethylated and reactivated by blocking DNA methylation, suggesting epigenetic regulation is involved in the expression of orthologous genes in polyploid genomes. Compared with classic genetic mutations, epigenetic regulation may be advantageous for selection and adaptation of polyploid species during evolution and development.

SUBMITTER: Lee HS

PROVIDER: S-EPMC34425 | biostudies-literature | 2001 Jun

REPOSITORIES: biostudies-literature

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Protein-coding genes are epigenetically regulated in Arabidopsis polyploids.

Lee H S HS Chen Z J ZJ

Proceedings of the National Academy of Sciences of the United States of America 20010522 12

The fate of redundant genes resulting from genome duplication is poorly understood. Previous studies indicated that ribosomal RNA genes from one parental origin are epigenetically silenced during interspecific hybridization or polyploidization. Regulatory mechanisms for protein-coding genes in polyploid genomes are unknown, partly because of difficulty in studying expression patterns of homologous genes. Here we apply amplified fragment length polymorphism (AFLP)-cDNA display to perform a genome ...[more]

PMID: 11371624

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Project description:BackgroundMethylation of CpG islands within the DNA promoter regions is one mechanism that leads to aberrant gene expression in cancer. In particular, the abnormal methylation of CpG islands may silence associated genes. Therefore, using high-throughput microarrays to measure CpG island methylation will lead to better understanding of tumor pathobiology and progression, while revealing potentially new biomarkers. We have examined a recently developed high-throughput technology for measuring genome-wide methylation patterns called mTACL. Here, we propose a computational pipeline for integrating gene expression and CpG island methylation profiles to identify epigenetically regulated genes for a panel of 45 breast cancer cell lines, which is widely used in the Integrative Cancer Biology Program (ICBP). The pipeline (i) reduces the dimensionality of the methylation data, (ii) associates the reduced methylation data with gene expression data, and (iii) ranks methylation-expression associations according to their epigenetic regulation. Dimensionality reduction is performed in two steps: (i) methylation sites are grouped across the genome to identify regions of interest, and (ii) methylation profiles are clustered within each region. Associations between the clustered methylation and the gene expression data sets generate candidate matches within a fixed neighborhood around each gene. Finally, the methylation-expression associations are ranked through a logistic regression, and their significance is quantified through permutation analysis.ResultsOur two-step dimensionality reduction compressed 90% of the original data, reducing 137,688 methylation sites to 14,505 clusters. Methylation-expression associations produced 18,312 correspondences, which were used to further analyze epigenetic regulation. Logistic regression was used to identify 58 genes from these correspondences that showed a statistically significant negative correlation between methylation profiles and gene expression in the panel of breast cancer cell lines. Subnetwork enrichment of these genes has identified 35 common regulators with 6 or more predicted markers. In addition to identifying epigenetically regulated genes, we show evidence of differentially expressed methylation patterns between the basal and luminal subtypes.ConclusionsOur results indicate that the proposed computational protocol is a viable platform for identifying epigenetically regulated genes. Our protocol has generated a list of predictors including COL1A2, TOP2A, TFF1, and VAV3, genes whose key roles in epigenetic regulation is documented in the literature. Subnetwork enrichment of these predicted markers further suggests that epigenetic regulation of individual genes occurs in a coordinated fashion and through common regulators.

Project description:BackgroundSeveral recent studies indicate that alternative splicing in Arabidopsis and other plants is a common mechanism for post-transcriptional modulation of gene expression. However, few analyses have been done so far to elucidate the functional relevance of alternative splicing in higher plants. Representing a frequent and universal subtle alternative splicing event among eukaryotes, alternative splicing at NAGNAG acceptors contributes to transcriptome diversity and therefore, proteome plasticity. Alternatively spliced NAGNAG acceptors are overrepresented in genes coding for proteins with RNA-recognition motifs (RRMs). As SR proteins, a family of RRM-containing important splicing factors, are known to be extensively alternatively spliced in Arabidopsis, we analyzed alternative splicing at NAGNAG acceptors in SR and SR-related genes.ResultsIn a comprehensive analysis of the Arabidopsis thaliana genome, we identified 6,772 introns that exhibit a NAGNAG acceptor motif. Alternative splicing at these acceptors was assessed using available EST data, complemented by a sequence-based prediction method. Of the 36 identified introns within 30 SR and SR-related protein-coding genes that have a NAGNAG acceptor, we selected 15 candidates for an experimental analysis of alternative splicing under several conditions. We provide experimental evidence for 8 of these candidates being alternatively spliced. Quantifying the ratio of NAGNAG-derived splice variants under several conditions, we found organ-specific splicing ratios in adult plants and changes in seedlings of different ages. Splicing ratio changes were observed in response to heat shock and most strikingly, cold shock. Interestingly, the patterns of differential splicing ratios are similar for all analyzed genes.ConclusionNAGNAG acceptors frequently occur in the Arabidopsis genome and are particularly prevalent in SR and SR-related protein-coding genes. A lack of extensive EST coverage can be compensated by using the proposed sequence-based method to predict alternative splicing at these acceptors. Our findings indicate that the differential effects on NAGNAG alternative splicing in SR and SR-related genes are organ- and condition-specific rather than gene-specific.

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Protein-coding genes are epigenetically regulated in Arabidopsis polyploids.

Publications

Protein-coding genes are epigenetically regulated in Arabidopsis polyploids.

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