Early transcriptional response pathways in Daphnia magna are coordinated in networks of crustacean‐specific genes
Year: 2017
Type: article
Abstract: Natural habitats are exposed to an increasing number of environmental stressors that cause important ecological consequences. However, the multifarious nature of environmental change, the strength and the relative timing of each stressor largely limit our understanding of biological responses to environmental change. In particular, early response to unpredictable environmental change, critical to survival and fitness in later life stages, is largely uncharacterized. Here, we characterize the early transcriptional response of the keystone species Daphnia magna to twelve environmental perturbations, including biotic and abiotic stressors. We first perform a differential expression analysis aimed at identifying differential regulation of individual genes in response to stress. This preliminary analysis revealed that a few individual genes were responsive to environmental perturbations and they were modulated in a stressor and genotype-specific manner. Given the limited number of differentially regulated genes, we were unable to identify pathways involved in stress response. Hence, to gain a better understanding of the genetic and functional foundation of tolerance to multiple environmental stressors, we leveraged the correlative nature of networks and performed a weighted gene co-expression network analysis. We discovered that approximately one-third of the Daphnia genes, enriched for metabolism, cell signalling and general stress response, drives transcriptional early response to environmental stress and it is shared among genetic backgrounds. This initial response is followed by a genotype- and/or condition-specific transcriptional response with a strong genotype-by-environment interaction. Intriguingly, genotype- and condition-specific transcriptional response is found in genes not conserved beyond crustaceans, suggesting niche-specific adaptation.
Source: Molecular Ecology
DOI: 10.1111/mec.14261
Authors: Luisa Orsini, James B. Brown, Omid Shams Solari, Dong Li, Shan He, Ram Podicheti, Marcus H. Stoiber, Katina I. Spanier, Donald Gilbert, Mieke Jansen, Douglas B. Rusch, Michael E. Pfrender, John K. Colbourne, Mikko J. Frilander, Jouni Kvist, Ellen Decaestecker, Karel A. C. De Schamphelaere, Luc De Meester
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, Helsingin Yliopisto, University of Notre Dame, Royal Society, European Science Foundation, Academy of Finland, Fonds Wetenschappelijk Onderzoek, Agentschap voor Innovatie door Wetenschap en Technologie, KU Leuven, Vlaamse regering, National Institutes of Health, Directorate for Biological Sciences, Natural Environment Research Council, National Human Genome Research Institute, National Institute of General Medical Sciences, Center for Scientific Review, European Social Fund
Awards: G1183524431, G1418014755, Daphnia Functional Genomics Resource, G2404545420, G2531302180, Nonparametric methods for functional and translational genomics, G3366832570, G371715657, STRESSFLEA-B: How to live in a mosaic of stressors - an ecological genomics approach on the water flea Daphnia., Cracking the Code of Adaptive Evolution (deCODE), G5918447623, Shared Genome Database Informatics and Cyber Infrastructure, G8000447013, G8065950389, G8455848739
OpenAlex ID: W2738540096
