Deciphering life history transcriptomes in different environments

Molecular Ecology - Tập 24 Số 1 - Trang 151-179 - 2015
William J. Etges1, Meredith V. Trotter2, Cássia Oliveira1, Subhash Rajpurohit3, Allen G. Gibbs3, Shripad Tuljapurkar2
1Program in Ecology and Evolutionary Biology, Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA
2Department of Biological Sciences, Stanford University, Stanford, CA 94305 USA
3School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, 89154, USA

Tóm tắt

AbstractWe compared whole transcriptome variation in six pre‐adult stages and seven adult female ages in two populations of cactophilic Drosophila mojavensis reared on two host plants to understand how differences in gene expression influence standing life history variation. We used singular value decomposition (SVD) to identify dominant trajectories of life cycle gene expression variation, performed pairwise comparisons of stage and age differences in gene expression across the life cycle, identified when genes exhibited maximum levels of life cycle gene expression, and assessed population and host cactus effects on gene expression. Life cycle SVD analysis returned four significant components of transcriptional variation, revealing functional enrichment of genes responsible for growth, metabolic function, sensory perception, neural function, translation and ageing. Host cactus effects on female gene expression revealed population‐ and stage‐specific differences, including significant host plant effects on larval metabolism and development, as well as adult neurotransmitter binding and courtship behaviour gene expression levels. In 3‐ to 6‐day‐old virgin females, significant upregulation of genes associated with meiosis and oogenesis was accompanied by downregulation of genes associated with somatic maintenance, evidence for a life history trade‐off. The transcriptome of D. mojavensis reared in natural environments throughout its life cycle revealed core developmental transitions and genome‐wide influences on life history variation in natural populations.

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