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Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution

Please always quote using this URN: urn:nbn:de:bvb:20-opus-230468
  • The origins of multicellular physiology are tied to evolution of gene expression. Genes can shift expression as organisms evolve, but how ancestral expression influences altered descendant expression is not well understood. To examine this, we amalgamate 1,903 RNA-seq datasets from 182 research projects, including 6 organs in 21 vertebrate species. Quality control eliminates project-specific biases, and expression shifts are reconstructed using gene-family-wise phylogenetic Ornstein-Uhlenbeck models. Expression shifts following gene duplicationThe origins of multicellular physiology are tied to evolution of gene expression. Genes can shift expression as organisms evolve, but how ancestral expression influences altered descendant expression is not well understood. To examine this, we amalgamate 1,903 RNA-seq datasets from 182 research projects, including 6 organs in 21 vertebrate species. Quality control eliminates project-specific biases, and expression shifts are reconstructed using gene-family-wise phylogenetic Ornstein-Uhlenbeck models. Expression shifts following gene duplication result in more drastic changes in expression properties than shifts without gene duplication. The expression properties are tightly coupled with protein evolutionary rate, depending on whether and how gene duplication occurred. Fluxes in expression patterns among organs are nonrandom, forming modular connections that are reshaped by gene duplication. Thus, if expression shifts, ancestral expression in some organs induces a strong propensity for expression in particular organs in descendants. Regardless of whether the shifts are adaptive or not, this supports a major role for what might be termed preadaptive pathways of gene expression evolution.show moreshow less

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Metadaten
Author: Kenji FukushimaORCiD, David D. PollockORCiD
URN:urn:nbn:de:bvb:20-opus-230468
Document Type:Journal article
Faculties:Fakultät für Biologie / Julius-von-Sachs-Institut für Biowissenschaften
Language:English
Parent Title (English):Nature Communications
Year of Completion:2020
Volume:11,
Article Number:4459
Source:Nature Communications (2020) 11:4459. https://doi.org/10.1038/s41467-020-18090-8
DOI:https://doi.org/10.1038/s41467-020-18090-8
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Tag:adaptive conflict; alignmen; biology; divergence times; duplicate genes; package; phylogenetic trees; rates; recent origin; selection
Release Date:2021/04/20
Open-Access-Publikationsfonds / Förderzeitraum 2020
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International