RESUMO
Affymetrix GeneChip microarrays are a powerful tool to study global gene expression profiles and have been used on many species. However, no sheep-specific Affymetrix GeneChip is currently available and the bovine array is fairly limited in its coverage and annotation. Previously, a probe-selection method based on hybridisation of genomic DNA (gDNA) was developed, which enables GeneChips to be used for species that they were not designed for. This approach can greatly increase the number of potential annotated genes that can be studied beyond that which is currently available, particularly for species that do not have comprehensively characterised genomes. In this study, we demonstrate that gDNA-based probe selection on the Affymetrix Human U133+2 GeneChip array can be used to study gene expression profiles in sheep tissues. More than 20 000 transcripts were detected in triplicate ovine skeletal muscle and liver samples, which is more than would be possible using the commercially available sheep-specific microarray. The majority of the top 15 differentially expressed genes for each tissue were known to either be expressed in a tissue-specific manner or relate to specific functions of that tissue. Gene ontology analysis of the differentially expressed genes revealed the expected differences in gene expression profiles between the two tissues. Besides demonstrating that the probe selection method can be used to study the ovine transcriptome, the benefits of this approach are that it can greatly increase the number of annotated and novel genes that can be studied beyond those currently possible using ovine- or bovine-specific microarrays. This same method also has the potential to allow the study of other species where species-specific microarrays are not available or whose genomes have not been comprehensively characterised.
RESUMO
* 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.
