Research

Coregulation of ribosomal RNA with hundreds of genes contributes to phenotypic variation

    • 1State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China 100101;
    • 2Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA;
    • 3School of Integrative Plant Sciences, Section of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853, USA;
    • 4College of Agronomy, Xinjiang Agriculture University, Urumqi, China 830052;
    • 5Bioinformatics Facility, Institute of Biotechnology, Cornell University, Ithaca, New York 14853, USA;
    • 6US Department of Agriculture–Agricultural Research Service (USDA–ARS), Ithaca, New York 14853, USA;
    • 7University of Chinese Academy of Sciences, Beijing, China 100049
Published August 30, 2018. Vol 28 Issue 10, pp. 1555-1565. https://doi.org/10.1101/gr.229716.117
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Abstract

Ribosomal repeats occupy 5% of a plant genome, yet there has been little study of their diversity in the modern age of genomics. Ribosomal copy number and expression variation present an opportunity to tap a novel source of diversity. In the present study, we estimated the ribosomal DNA (rDNA) copy number and ribosomal RNA (rRNA) expression for a population of maize inbred lines and investigated the potential role of rDNA and rRNA dosage in regulating global gene expression. Extensive variation was found in both ribosomal DNA copy number and ribosomal RNA expression among maize inbred lines. However, rRNA abundance was not consistent with the copy number of the rDNA. We have not found that the rDNA gene dosage has a regulatory role in gene expression; however, thousands of genes are identified to be coregulated with rRNA expression, including genes participating in ribosome biogenesis and other functionally relevant pathways. We further investigated the potential roles of copy number and the expression level of rDNA on agronomic traits and found that both correlated with flowering time but through different regulatory mechanisms. This comprehensive analysis suggested that rRNA expression variation is a valuable source of functional diversity that affects gene expression variation and field-based phenotypic changes.

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