ArticlePlant, cell & environment2022
Fillable and unfillable gaps in plant transcriptome under field and controlled environments.
Article in Plant, cell & environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- A prebiotic-based biostimulant enhances growth parameters, photosynthetic efficiency, and grain yield in rice (Frontiers in plant science · 2026Article
- Accurately programming complex light regimes with multichannel LEDs.Quantitative plant biology · 2026Article
- Field-crop transcriptome models are enhanced by measurements in systematically controlled environments.Genome biology · 2025Article
- Overexpression ofJournal of fungi (Basel, Switzerland) · 2025Article
- Is My Stress Out of Place? Bread Wheat Response to Saline Stress Varies in Pattern and Extent Across Experimental Settings.Plant direct · 2025Article
- Simulation study of factors affecting the accuracy of transcriptome models under complex environments.Plant molecular biology · 2025Article
- Lasy-Seq: A High-Throughput 3' RNA-Seq Method for Large-Scale Transcriptome Profiling in Rice.Methods in molecular biology (Clifton, N.J.) · 2025Article
- DeLTa-Seq: High-Throughput Targeted RNA-Seq of Rice Leaves Without RNA Purification.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Development of an infiltration-based RNA preservation method for cryogen-free storage of leaves for gene expression analyses in field-grown plants.Plant methods · 2024Article
- Cross-species transcriptomics reveals differential regulation of essential photosynthesis genes in Hirschfeldia incana.G3 (Bethesda, Md.) · 2024Article
- Transcriptome-based prediction for polygenic traits in rice using different gene subsets.BMC genomics · 2024Article
- Circadian and environmental signal integration in a natural population ofProceedings of the National Academy of Sciences of the United States of America · 2024Article
- A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheat.NAR genomics and bioinformatics · 2023Article
- Field plus lab experiments help identify freezing tolerance and associated genes in subtropical evergreen broadleaf trees: A case study ofFrontiers in plant science · 2023Article
- Time of Day Analysis over a Field Grown Developmental Time Course in Rice.Plants (Basel, Switzerland) · 2022Article
- Fillable and unfillable gaps in plant transcriptome under field and controlled environments.Plant, cell & environment · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The differences between plants grown in field and in controlled environments have long been recognized. However, few studies have addressed the underlying molecular mechanisms. To evaluate plant responses to fluctuating environments using laboratory equipment, we developed SmartGC, a high-performance growth chamber that reproduces the fluctuating irradiance, temperature and humidity of field environments. We analysed massive transcriptome data of rice plants grown under field and SmartGC conditions to clarify the differences in plant responses to field and controlled environments. Rice transcriptome dynamics in SmartGC mimicked those in the field, particularly during the morning and evening but those in conventional growth chamber conditions did not. Further analysis revealed that fluctuation of irradiance affects transcriptome dynamics in the morning and evening, while fluctuation of temperature affects transcriptome dynamics only in the morning. We found upregulation of genes related to biotic and abiotic stress, and their expression was affected by environmental factors that cannot be mimicked by SmartGC. Our results reveal fillable and unfillable gaps in the transcriptomes of rice grown in field and controlled environments and can accelerate the understanding of plant responses to field environments for both basic biology and agricultural applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.