Title (en)
Evolution of metabolome and transcriptome support a hierarchical organization of adaptive traits
Language
English
Description (en)
Most organismal phenotypes have a polygenic basis, which enables adaptive phenotypic responses on ecological time scales. While adaptive phenotypic changes are highly parallel in replicate populations, this does not apply to the contributing loci. In particular for small populations, the same phenotypic shift can be fueled by different sets of alleles at alternative loci (genetic redundancy). Although this phenomenon is empirically well supported, the molecular basis of the genetic redundancy is not yet understood. To fill this gap, we compared the heterogeneity of the evolutionary transcriptomic and metabolomic response in ten Drosophila simulans populations which evolved parallel high-level phenotypic changes in a novel temperature environment but used different allelic combinations of alternative loci. We showed that the metabolome evolved more parallel than the transcriptome, confirming a hierarchical organization of molecular phenotypes. Different sets of genes responded in each evolved population but led to the enrichment of similar biological functions and a consistent metabolic profile. Since even the metabolomic response was still highly heterogeneous across evolved populations, we propose that selection may operate on pathways/networks.
Keywords (en)
Animals; Transcriptome; Phenotype; Gene Expression Profiling; Drosophila simulans; Metabolome; Biological Evolution
DOI
10.1093/gbe/evad098
Author of the digital object
Wei-Yun Lai (University of Veterinary Medicine Vienna)
Kathrin A. Otte (University of Veterinary Medicine Vienna / University of Cologne)
Christian Schlötterer (University of Veterinary Medicine Vienna)
Format
application/pdf
Size
684.3 kB
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Type of publication
Article
Name of Publication (en)
Genome Biology and Evolution
Pages or Volume
11
Volume
15
Number
6
Publisher
Oxford University Press
Publication Date
2023
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Persistent identifier
DOI
https://phaidra.vetmeduni.ac.at/o:2296
https://doi.org/10.1093/gbe/evad098 - Content
- DetailsObject typePDFDocumentFormatapplication/pdfCreated10.11.2023 10:07:56 UTC
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