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Identification of transcriptome SNPs for assessing allele-specific gene expression in a super-hybrid rice Xieyou9308.

ABSTRACT: Hybridization, a common process in nature, can give rise to a vast reservoir of allelic variants. Combination of these allelic variants may result in novel patterns of gene action and is thought to contribute to heterosis. In this study, we analyzed genome-wide allele-specific gene expression (ASGE) in the super-hybrid rice variety Xieyou9308 using RNA sequencing technology (RNA-Seq). We identified 9325 reliable single nucleotide polymorphisms (SNPs) distributed throughout the genome. Nearly 68% of the identified polymorphisms were CT and GA SNPs between R9308 and Xieqingzao B, suggesting the existence of DNA methylation, a heritable epigenetic mark, in the parents and their F1 hybrid. Of 2793 identified transcripts with consistent allelic biases, only 480 (17%) showed significant allelic biases during tillering and/or heading stages, implying that trans effects may mediate most transcriptional differences in hybrid offspring. Approximately 67% and 62% of the 480 transcripts showed R9308 allelic expression biases at tillering and heading stages, respectively. Transcripts with higher levels of gene expression in R9308 also exhibited R9308 allelic biases in the hybrid. In addition, 125 transcripts were identified with significant allelic expression biases at both stages, of which 74% showed R9308 allelic expression biases. R9308 alleles may tend to preserve their characteristic states of activity in the hybrid and may play important roles in hybrid vigor at both stages. The allelic expression of 355 transcripts was highly stage-specific, with divergent allelic expression patterns observed at different developmental stages. Many transcripts associated with stress resistance were differently regulated in the F1 hybrid. The results of this study may provide valuable insights into molecular mechanisms of heterosis.

SUBMITTER: Zhai R

PROVIDER: S-EPMC3629204 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Identification of transcriptome SNPs for assessing allele-specific gene expression in a super-hybrid rice Xieyou9308.

Zhai Rongrong R Feng Yue Y Zhan Xiaodeng X Shen Xihong X Wu Weiming W Yu Ping P Zhang Yingxin Y Chen Daibo D Wang Huimin H Lin Zechuan Z Cao Liyong L Cheng Shihua S

PloS one 20130417 4

Hybridization, a common process in nature, can give rise to a vast reservoir of allelic variants. Combination of these allelic variants may result in novel patterns of gene action and is thought to contribute to heterosis. In this study, we analyzed genome-wide allele-specific gene expression (ASGE) in the super-hybrid rice variety Xieyou9308 using RNA sequencing technology (RNA-Seq). We identified 9325 reliable single nucleotide polymorphisms (SNPs) distributed throughout the genome. Nearly 68% ...[more]

PMID: 23613738

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Project description:Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele-workbench. Additionally, all software is ready for immediate use from an Atmosphere Virtual Machine Image available from the iPlant Collaborative (www.iplantcollaborative.org).

Dataset Information

Identification of transcriptome SNPs for assessing allele-specific gene expression in a super-hybrid rice Xieyou9308.

Publications

Identification of transcriptome SNPs for assessing allele-specific gene expression in a super-hybrid rice Xieyou9308.

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