Gene expression patterns are correlated with genomic and genic structure in soybean

Jenna L. Woody, Andrew J. Severin, Yung Tsi Bolon, Bindu Joseph, Brian W. Diers, Andrew D. Farmer, Nathan Weeks, Gary J. Muehlbauer, Rex T. Nelson, David Grant, James E. Specht, Michelle A. Graham, Steven B. Cannon, Gregory D. May, Carroll P. Vance, Randy C. Shoemaker

Research output: Contribution to journalArticlepeer-review

Abstract

Studies have indicated that exon and intron size and intergenic distance are correlated with gene expression levels and expression breadth. Previous reports on these correlations in plants and animals have been conflicting. In this study, next-generation sequence data, which has been shown to be more sensitive than previous expression profiling technologies, were generated and analyzed from 14 tissues. Our results revealed a novel dichotomy. At the low expression level, an increase in expression breadth correlated with an increase in transcript size because of an increase in the number of exons and introns. No significant changes in intron or exon sizes were noted. Conversely, genes expressed at the intermediate to high expression levels displayed a decrease in transcript size as their expression breadth increased. This was due to smaller exons, with no significant change in the number of exons. Taking advantage of the known gene space of soybean, we evaluated the positioning of genes and found significant clustering of similarly expressed genes. Identifying the correlations between the physical parameters of individual genes could lead to uncovering the role of regulation owing to nucleotide composition, which might have potential impacts in discerning the role of the noncoding regions.

Original languageEnglish (US)
Pages (from-to)10-18
Number of pages9
JournalGenome
Volume54
Issue number1
DOIs
StatePublished - Dec 23 2010

Keywords

  • expression breadth
  • expression level
  • next-generation sequencing
  • physical clustering

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Biology
  • Genetics

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