title: Ten years of transcriptomics in wild populations: what have we learned about their ecology and evolution?
abstract: Molecular ecology has moved beyond the use of a relatively small number of markers, often noncoding, and it is now possible to use whole-genome measures of gene expression with microarrays and RNAseq (i.e. transcriptomics) to capture molecular response to environmental challenges. While transcriptome studies are shedding light on the mechanistic basis of traits as complex as personality or physiological response to catastrophic events, these approaches are still challenging because of the required technical expertise, difficulties with analysis and cost. Still, we found that in the last 10 years, 575 studies used microarrays or RNAseq in ecology. These studies broadly address three questions that reflect the progression of the field: (i) How much variation in gene expression is there and how is it structured? (ii) How do environmental stimuli affect gene expression? (iii) How does gene expression affect phenotype? We discuss technical aspects of RNAseq and microarray technology, and a framework that leverages the advantages of both. Further, we highlight future directions of research, particularly related to moving beyond correlation and the development of additional annotation resources. Measuring gene expression across an array of taxa in ecological settings promises to enrich our understanding of ecology and genome function.
authors.affiliation: Department of Integrative Biology, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL, 33620, USA.
authors.forename: Mariano
authors.initials: M
authors.lastname: Alvarez
authors.forename: Aaron W
authors.initials: AW
authors.lastname: Schrey
authors.forename: Christina L
authors.initials: CL
authors.lastname: Richards
mesh_terms: D000818:Animals; D005075:Biological Evolution; D004463:Ecology / Q000379:methods*; D004777:Environment; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000639:trends*; D005828:Genetics, Population; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D010944:Plants; D017423:Sequence Analysis, RNA; D059467:Transcriptome
keywords: RNAseq; ecological transcriptome; gene expression; microarrays; transcriptomics