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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
Published on: January 21, 2020
Quantifying whole transcriptome size, a prerequisite for understanding transcriptome evolution across species: an
1Department of Plant Biology, Cornell University, Ithaca, New York, USA.
Genome Biology and Evolution
|July 31, 2010
Summary
Comparing gene expression across species is challenging. This study introduces a new assay to accurately measure expression per cell, revealing that transcriptome downsizing exceeds genome downsizing in allopolyploids and most genes show partial dosage compensation.
Area of Science:
- Evolutionary biology
- Genomics
- Molecular biology
Background:
- Comparing gene expression across species is crucial for evolutionary studies.
- Standard normalization methods obscure expression per gene copy or cell, potentially misrepresenting differential gene expression.
- Accurate measurement of expression per cell is needed for robust interspecies comparisons.
Purpose of the Study:
- To develop and apply an assay for estimating relative gene expression per cell.
- To compare transcriptome size with genome size in an allopolyploid relative to its progenitors.
- To infer gene dosage responses and assess dosage compensation in the allopolyploid.
Main Methods:
- Quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR).
- High-throughput RNA sequencing (RNA-Seq).
- Development of an assay to estimate relative expression per cell and transcriptome size.
Main Results:
- The allopolyploid's leaf transcriptome was ~1.4-fold larger than either progenitor's transcriptome.
- Transcriptome downsizing was greater than genome downsizing in the allopolyploid.
- The majority of genes exhibited partial dosage compensation, with nonrandom distribution of homoeologue silencing.
Conclusions:
- The developed assay enables accurate comparison of expression per cell across species.
- Transcriptome size estimation is essential for interpreting gene expression data in interspecies comparisons.
- This approach provides insights into gene dosage responses and evolutionary adaptation in polyploids.
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