Literature DB >> 18801004

Evidence of neutral transcriptome evolution in plants.

M R Broadley1, P J White2, J P Hammond3, N S Graham1, H C Bowen3, Z F Emmerson1, R G Fray1, P P M Iannetta2, J W McNicol2, S T May1.   

Abstract

* The transcriptome of an organism is its set of gene transcripts (mRNAs) at a defined spatial and temporal locus. Because gene expression is affected markedly by environmental and developmental perturbations, it is widely assumed that transcriptome divergence among taxa represents adaptive phenotypic selection. This assumption has been challenged by neutral theories which propose that stochastic processes drive transcriptome evolution. * To test for evidence of neutral transcriptome evolution in plants, we quantified 18 494 gene transcripts in nonsenescent leaves of 14 taxa of Brassicaceae using robust cross-species transcriptomics which includes a two-step physical and in silico-based normalization procedure based on DNA similarity among taxa. * Transcriptome divergence correlates positively with evolutionary distance between taxa and with variation in gene expression among samples. Results are similar for pseudogenes and chloroplast genes evolving at different rates. Remarkably, variation in transcript abundance among root-cell samples correlates positively with transcriptome divergence among root tissues and among taxa. * Because neutral processes affect transcriptome evolution in plants, many differences in gene expression among or within taxa may be nonfunctional, reflecting ancestral plasticity and founder effects. Appropriate null models are required when comparing transcriptomes in space and time.

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Year:  2008        PMID: 18801004     DOI: 10.1111/j.1469-8137.2008.02640.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  11 in total

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3.  Root transcript profiling of two Rorippa species reveals gene clusters associated with extreme submergence tolerance.

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Journal:  Plant Physiol       Date:  2013-09-27       Impact factor: 8.340

4.  Regulation of seed germination in the close Arabidopsis relative Lepidium sativum: a global tissue-specific transcript analysis.

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5.  A Brassica exon array for whole-transcript gene expression profiling.

Authors:  Christopher G Love; Neil S Graham; Seosamh O Lochlainn; Helen C Bowen; Sean T May; Philip J White; Martin R Broadley; John P Hammond; Graham J King
Journal:  PLoS One       Date:  2010-09-16       Impact factor: 3.240

Review 6.  Evolving gene expression: from G to E to GxE.

Authors:  Andrea Hodgins-Davis; Jeffrey P Townsend
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Journal:  BMC Ecol       Date:  2011-12-02       Impact factor: 2.964

8.  Pigeons: A Novel GUI Software for Analysing and Parsing High Density Heterologous Oligonucleotide Microarray Probe Level Data.

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Journal:  Microarrays (Basel)       Date:  2014-01-03

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Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

10.  In silico analysis of crop science: report on the first China-UK workshop on Chips, Computers and Crops.

Authors:  Ming Chen; Andrew Harrison
Journal:  Genomics Proteomics Bioinformatics       Date:  2008-12       Impact factor: 7.691

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