Biology subjects

Prasetyaningrum, P.

Publications and source records attributed to Prasetyaningrum, P..

4 recordsLinked to original sources

bioRxiv2026

Functional specialization of the gibberellin receptor GIBBERELLIN-INSENSITIVE DWARF 1C in plant neighbour detection

Plants detect neighbours through a reduced red-to-far-red ratio (R:FR), triggering elongation growth that reduces crop yield. Although Gibberellin (GA) is required for the neighbour-proximity (NP) elongation response, bioactive GA levels do not increase sufficiently to account for elongation magnitude, suggesting GA sensitivity as an additional regulated variable. Here, we show that GID1C, one of three Arabidopsis GA receptors, is the primary GA receptor involved in NP-induced elongation. GID1C protein accumulates selectively in hypocotyls and root tips under low R:FR without an increase in bioactive GA. The gid1c mutant shows a reduced elongation response that exogenous GA treatment cannot rescue. Transcriptome profiling reveals that GID1C controls 86% of the NP-responsive transcriptome, including genes for cell growth, division, and transcriptional regulation. Hub analysis identifies ICE1 as a GID1C-repressed transcriptional brake. ICE1 transcript is suppressed under low R:FR in a GID1C-dependent manner, and a phosphorylation-resistant ICE1 allele blocks NP-induced elongation. Together, these findings establish GA perception as an additional regulatory layer in NP, with subfunctionalisation among GID1 paralogs shaping the response to neighbouring plants.

plant biology↗

bioRxiv2026

Molecular and phenotypic footprints of climate in native Arabidopsis thaliana

Climate change poses a major threat to humanity by driving biodiversity loss and reducing crop yields1,2. To understand the molecular and developmental impacts of rising temperatures, plant science has relied heavily on the model organism Arabidopsis thaliana. Despite decades of research, its development under fully natural conditions remains poorly understood, and only [~]30% of genes have experimental functional annotations, largely because many functions are subtle or manifest only in specific laboratory or ecological contexts3. Here, we address this gap with a landscape transcriptomic approach that integrates intensive phenotyping and transcriptomic profiling of naturally occurring plants in their native habitats4. Across two contrasting field sites and five growing seasons (2021-2025), we phenotyped more than 3,000 A. thaliana plants and generated >1,600 matching transcriptomes. The resulting >30,000 quantitative trait measurements provide a unique opportunity to link climate fluctuations with plant traits and gene expression. Seasons characterized by extreme temperature anomalies directly influenced plant traits, and climatic variables together explained up to 17% of phenotypic variation. In situ transcriptomes carried clear temperature and local environmental signatures, closely matching temperature-response programs known from the laboratory. Leveraging paired per-plant transcriptomes and phenotypes, we applied machine learning to predict regulators of climate-relevant and other plant traits under natural conditions. The models recovered canonical thermomorphogenesis regulators, including PHYTOCHROME INTERACTING FACTOR 4 (PIF4)5,6, providing ecological evidence that temperature signaling pathways defined in controlled environments operate in the wild, and expanded this regulatory landscape by identifying hormonal receptors, signaling components, and previously uncharacterized genes, some of which we functionally validated. Together, this work demonstrates that landscape transcriptomics, by integrating natural field transcriptomes with phenotypes, and thus, capturing environmental and regulatory states, enables the predictive identification of genetic regulators of temperature responses and broader plant traits. This makes landscape transcriptomics a scalable framework for climate-aware functional genomics in plants.

plant biology↗

bioRxiv2022

EXORIBONUCLEASE4 integrates metabolic signals induced by osmotic stress into the circadian system

The circadian clock system acts as an endogenous timing reference that coordinates many metabolic and physiological processes in plants. Previous studies have shown that the application of osmotic stress delays circadian rhythms via 3-Phospho-Adenosine 5-Phosphate (PAP), a retrograde signalling metabolite that is produced in response to redox stress within organelles. PAP accumulation leads to the inhibition of EXORIBONUCLEASEs (XRNs), which are responsible for RNA degradation. Interestingly, we are now able to demonstrate that post-transcriptional processing is crucial for the circadian response to osmotic stress. Our data show that degradation of specific circadian clock transcripts is modulated by osmotic stress, suggesting that RNA metabolism plays a vital role in circadian clock coordination during drought. Inactivation of XRN4 is sufficient to extend circadian rhythms, with LWD1, LWD2, and PRR7 identified as specific XRN4 targets that are post-transcriptionally regulated to delay circadian progression. One Sentence SummaryPost-transcriptional regulation of specific transcripts enables the circadian system to respond to osmotic stress.

plant biology↗

bioRxiv2020

Nighttime gibberellin biosynthesis is influenced by fluctuating environmental conditions and contributes to growth adjustments of Arabidopsis leaves.

Optimal plant growth performance requires that the action of growth signals, such as gibberellins (GA), are coordinated with the availability of photo-assimilates. Here, we studied the links between gibberellin biosynthesis and carbon availability, and the subsequent effects on growth. The results presented here show that carbon availability, light and dark cues, and the clock ensure the timing and magnitude of gibberellin biosynthesis and that disruption of these mechanisms results in reduced gibberellin levels and expression of downstream genes. Carbon dependent nighttime induction of GIBBERELLIN 3-BETA-DIOXYGENASE 1 (GA3ox1) was severely hampered when preceded by a day of lowered light availability, leading specifically to reduced bioactive GA4 levels, and coinciding with a decline in leaf expansion rate during the night. We attribute this decline in leaf expansion mostly to reduced photo-assimilates. However, plants where gibberellin limitation was alleviated had significantly improved expansion demonstrating the relevance of gibberellins in growth control under varying carbon availability. Carbon dependent expression of upstream gibberellin biosynthesis genes (KAURENE SYNTHASE, KS and GIBBERELLIN 20 OXIDASE 1, GA20ox1) was not translated into metabolite changes within this short timeframe. We propose a model where the extent of nighttime biosynthesis of bioactive GA4 by GA3ox1 is determined by starch, as the nighttime carbon source, and so provides day-to-day adjustment of gibberellin responses.

plant biology↗