Time-resolved oxidative signal convergence across the algae–embryophyte divide

T Tim P. Rieseberg A Armin Dadras T Tatyana Darienko S Sina Post C Cornelia Herrfurth J Janine M. R. Fürst-Jansen N Nils Hohnhorst R Romy Petroll S Stefan A. Rensing T Thomas Pröschold S Sophie de Vries I Iker Irisarri I Ivo Feussner J Jan de Vries (Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Göttingen, Goldschmidtstr. 1, Göttingen 37077, Germany)

Abstract

Abstract The earliest land plants faced a significant challenge in adapting to environmental stressors. Stress on land is unique in its dynamics, entailing swift and drastic changes in light and temperature. While we know that land plants share with their closest streptophyte algal relatives key components of the genetic makeup for dynamic stress responses, their concerted action is little understood. Here, we combine time-course stress profiling using photophysiology, transcriptomics on 2.7 Tbp of data, and metabolite profiling analyses on 270 distinct samples, to study stress kinetics across three 600-million-year-divergent streptophytes. Through co-expression analysis and Granger causal inference we predict a gene regulatory network that retraces a web of ancient signal convergences at ethylene signaling components, osmosensors, and chains of major kinases. These kinase hubs already integrated diverse environmental inputs since before the dawn of plants on land.

Article Details

Volume / Issue Vol. 16, Issue 1
Published February 19, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (14)

T

Tim P. Rieseberg

A

Armin Dadras

T

Tatyana Darienko

S

Sina Post

C

Cornelia Herrfurth

J

Janine M. R. Fürst-Jansen

N

Nils Hohnhorst

R

Romy Petroll

S

Stefan A. Rensing

T

Thomas Pröschold

S

Sophie de Vries

I

Iker Irisarri

I

Ivo Feussner

J

Jan de Vries

Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Göttingen, Goldschmidtstr. 1, Göttingen 37077, Germany