Identification of STN7-associated leaf senescence networks in thylakoid membranes of Arabidopsis

Photosynthetic protein complexes in thylakoid membranes disassemble during leaf senescence, leading to a decline in photosynthetic efficiency. However, the mechanisms by which these protein complexes in chloroplast thylakoid membranes modulate leaf senescence are poorly understood. This study investigated the roles of <i>Arabidopsis thaliana</i> STN7 and STN8 kinases during leaf senescence using proteomic tools, characterizing STN7 and STN8 overexpressors and loss-of-function mutants. During leaf senescence, proteins involved in photosynthesis-associated processes decreased, while those related to lipid metabolism and jasmonic acid-mediated stress responses increased. The abundance and phosphorylation of the thylakoid membrane proteome were regulated by STN7, but not by STN8. Thirty-four STN7 target proteins overlapped with senescence-associated proteins in the wild type, most of which are related to the photosynthetic protein apparatus. Three out of nine mutants defective in STN7 downstream targets (<i>lfnr2</i>, <i>tsp9</i>, and <i>riq2</i>) exhibited accelerated leaf senescence based on chlorophyll a/b ratio measurements and photochemical analyses. Photosynthetic complex formation was normal in all STN7 target protein loss-of-function mutants, indicating the absence of feedback regulation upstream of STN7 during photosynthetic complex assembly. Overall, the data reveal that STN7 is a major kinase component in signaling cascades that link photosynthetic complex formation and leaf senescence.

Authors

Institutions

Publication Details

Journal
iScience
Published
2025-05-03
DOI
https://doi.org/10.1016/j.isci.2025.112577
Citations
1
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of STN7-associated leaf senescence networks in thylakoid membranes of Arabidopsis

Dong‐Gi Mun, Roshan Sharma Poudyal, Jingi Bae, Daehee Hwang et al.
1 citations
iScience
Plant Gene Expression Analysis
0.81
article

Identification of STN7-associated leaf senescence networks in thylakoid membranes of Arabidopsis

Dong‐Gi Mun, Roshan Sharma Poudyal, Jingi Bae, Daehee Hwang, Seongsin Lee, Seunghoon Back, Yumi Kim, Sang‐Won Lee, Ji-Hwan Park, Nayoung Gwak
article en
1 citations

Abstract

Photosynthetic protein complexes in thylakoid membranes disassemble during leaf senescence, leading to a decline in photosynthetic efficiency. However, the mechanisms by which these protein complexes in chloroplast thylakoid membranes modulate leaf senescence are poorly understood. This study investigated the roles of <i>Arabidopsis thaliana</i> STN7 and STN8 kinases during leaf senescence using proteomic tools, characterizing STN7 and STN8 overexpressors and loss-of-function mutants. During leaf senescence, proteins involved in photosynthesis-associated processes decreased, while those related to lipid metabolism and jasmonic acid-mediated stress responses increased. The abundance and phosphorylation of the thylakoid membrane proteome were regulated by STN7, but not by STN8. Thirty-four STN7 target proteins overlapped with senescence-associated proteins in the wild type, most of which are related to the photosynthetic protein apparatus. Three out of nine mutants defective in STN7 downstream targets (<i>lfnr2</i>, <i>tsp9</i>, and <i>riq2</i>) exhibited accelerated leaf senescence based on chlorophyll a/b ratio measurements and photochemical analyses. Photosynthetic complex formation was normal in all STN7 target protein loss-of-function mutants, indicating the absence of feedback regulation upstream of STN7 during photosynthetic complex assembly. Overall, the data reveal that STN7 is a major kinase component in signaling cascades that link photosynthetic complex formation and leaf senescence.

iScienceVol. 28(6)
Seoul National University (KR), Daegu Gyeongbuk Institute of Science and Technology (KR), Korea University (KR), Rural Development Administration (KR), Institute for Basic Science (KR), Ulsan National Institute of Science and Technology (KR)
National Research Foundation of Korea, Institute for Basic Science
Zero hunger
Openalex Percentile: Top 28%
Plant Gene Expression Analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.