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Ethylene is widely recognized as a positive regulator of leaf senescence. However, how plants coordinate the biosynthesis of ethylene to meet the requirements of senescence progression has not been determined. The rate-limiting enzyme in the ethylene biosynthesis pathway is ACC synthase. AtACS7 was previously considered one of the major contributors to the synthesis of "senescence ethylene" in . However, the "brake signal" that fine-tunes the expression of AtACS7 to ensure optimal ethylene production during leaf development has yet to be identified. In the present study, the RING-H2 zinc-finger protein RIE1 was found to specifically interact with and ubiquitinate AtACS7, among all functional ACSs in , to promote its degradation. Overexpression of markedly decreased ethylene biosynthesis and delayed leaf senescence, whereas loss of function of significantly increased ethylene emission and accelerated leaf senescence. The ethylene-related phenotypes of overexpressing or knockout mutants were effectively rescued by the ethylene precursor ACC or the competitive inhibitor of ACS, respectively. In particular, AtACS7-induced precocious leaf senescence was strongly enhanced by the loss of but was significantly attenuated by the overexpression of . The specific regions of interaction between AtACS7 and RIE1, as well as the major ubiquitination sites of AtACS7, were further investigated. All results demonstrated that RIE1 functions as an important modulator of ethylene biosynthesis during leaf development by specifically targeting AtACS7 for degradation, thereby enabling plants to produce the optimal levels of ethylene needed.
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http://dx.doi.org/10.1073/pnas.2411271121 | DOI Listing |
Fungal Biol
October 2025
Centro de Recursos Naturales Renovables de la Zona Semiárida (CERZOS) - CONICET, Camino La Carrindanga Km 7, Bahía Blanca, 8000, Argentina.
Tritrophic interactions involving host plants, fungal pathogens and mycoparasites play an important role in the dynamics of natural ecosystems. In this work, we investigate the impact of the rust fungus Puccinia araujiae on the growth of Araujia hortorum plants in the presence/absence of a mycoparasitic Cladosporium species identified here as Cladosporium sphaerospermum, supported by both morphological and molecular studies. The capacity of the latter to grow and reproduce at the expense of teliospores of the rust was confirmed through microscopic observations.
View Article and Find Full Text PDFNew Phytol
September 2025
State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Biology (Basel)
July 2025
College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
GOLDEN2-LIKEs (GLKs) are important transcription factors for the chloroplast development influencing photosynthesis, nutrition, senescence, and stress response in plants. Sunflower () is a highly photosynthetic plant; here, a -homologues gene was identified from the sunflower genome by bioinformatics. To analyze the bio-function of , transgenic rice plants overexpressing () were constructed and characterized via phenotype.
View Article and Find Full Text PDFFront Plant Sci
August 2025
College of Geographical Sciences, Faculty of Geographic Science and Engineering, Henan University, Zhengzhou, China.
Introduction: Phenology is a sensitive biological indicator of climate change. Increasing nitrogen (N) deposition has amplified phenological shifts, making their study across terrestrial ecosystems crucial for understanding global change responses. While existing research focuses on single ecosystems, comparative analyses are lacking.
View Article and Find Full Text PDFPlant Cell Physiol
September 2025
Department of Biosciences and Informatics, Keio University, Yokohama 223-8522, Japan.
Various aspects of Japanese morning glory (Ipomoea nil) petals, such as color, pattern, shape, flower opening time, and senescence, have been extensively studied. To facilitate such studies, transcriptome data were collected from flower petals at 3-h intervals over 3.5 days; the data was collected 72 h before and 12 h post-flower opening, accounting for 29 timepoints.
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