Browsing by Subject "differential expression"

Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
    (2010) Zaretzki, Russell L; Gilchrist, Michael A; Briggs, William M; Armagan, Artin
    Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation process may allow for multiple tags to be generated from a given mRNA transcript. The probability of forming a tag varies with its relative location. As a result, the observed tag counts represent a biased sample of the actual transcript pool. In SAGE this bias can be avoided by ignoring all but the 3' most tag but will discard a large fraction of the observed data. Taking this bias into account should allow more of the available data to be used leading to increased statistical power. Results: Three new hierarchical models, which directly embed a model for the variation in tag formation probability, are proposed and their associated Bayesian inference algorithms are developed. These models may be applied to libraries at both the tag and aggregate level. Simulation experiments and analysis of real data are used to contrast the accuracy of the various methods. The consequences of tag formation bias are discussed in the context of testing differential expression. A description is given as to how these algorithms can be applied in that context. Conclusions: Several Bayesian inference algorithms that account for tag formation effects are compared with the DPB algorithm providing clear evidence of superior performance. The accuracy of inferences when using a particular non-informative prior is found to depend on the expression level of a given gene. The multivariate nature of the approach easily allows both univariate and joint tests of differential expression. Calculations demonstrate the potential for false positive and negative findings due to variation in tag formation probabilities across samples when testing for differential expression.
  • Thumbnail Image
    ItemOpen Access
    Expression level dominance and homeolog expression bias in recurrent origins of the allopolyploid fern polypodium hesperium
    (American Fern Journal, 2019-07-01) Sigel, EM; Der, JP; Windham, MD; Pryer, KM
    © 2019 American Fern Society. All rights reserved. Allopolyploidization is a common mode of speciation in ferns with many taxa having formed recurrently from distinct hybridization events between the same parent species. Each hybridization event marks the union of divergent parental gene copies, or homeologs, and the formation of an independently derived lineage. Little is known about the effects of recurrent origins on the genomic composition and phenotypic variation of allopolyploid fern taxa. To begin to address this knowledge gap, we investigated gene expression patterns in two naturally formed, independently derived lineages of the allotetraploid fern Polypodium hesperium relative to its diploid progenitor species, Polypodium amorphum and Polypodium glycyrrhiza. Using RNA-sequencing to survey total gene expression levels for 19194 genes and homeolog-specific expression for 1073 genes, we found that, in general, gene expression in both lineages of P. hesperium was biased toward P. amorphum - both by mirroring expression levels of P. amorphum and preferentially expressing homeologs derived from P. amorphum. However, we recovered substantial expression variation between the two lineages at the level of individual genes and among individual specimens. Our results align with similar transcriptome profile studies of angiosperms, suggesting that expression in many allopolyploid plants reflects the dominance of a specific parental subgenome, but that recurrent origins impart substantial expression, or phenotypic, variation to allopolyploid taxa.