ArticleBMC plant biology2018
Long non-coding RNAs of switchgrass (Panicum virgatum L.) in multiple dehydration stresses.
Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 45 citations in OpenAlex.
- Epigenetics in Plant Response to Climate Change.Biology · 2025Review
- Genome-wide analysis and identification of nuclear factor Y gene family in switchgrass (Panicum virgatum L.).BMC genomics · 2024Article
- Long intergenic non-coding RNAs modulate proximal protein-coding gene expression and tolerance to Candidatus Liberibacter spp. in potatoes.Communications biology · 2024Article
- Long Noncoding RNAs in Response to Hyperosmolarity Stress, but Not Salt Stress, Were Mainly Enriched in the Rice Roots.International journal of molecular sciences · 2024Article
- The multifaceted role of RNA-based regulation in plant stress memory.Frontiers in plant science · 2024Review
- Review
- Stress memory and its regulation in plants experiencing recurrent drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Review
- Beyond the Primary Structure of Nucleic Acids: Potential Roles of Epigenetics and Noncanonical Structures in the Regulations of Plant Growth and Stress Responses.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Long Non-Coding RNAs: New Players in Plants.International journal of molecular sciences · 2022Review
- How do plants remember drought?Planta · 2022Review
- Non-Coding RNAs in Response to Drought Stress.International journal of molecular sciences · 2021Review
- Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants.International journal of molecular sciences · 2020Review
- Long non-coding RNAs: emerging players regulating plant abiotic stress response and adaptation.BMC plant biology · 2020Review
- Identification of lncRNAs involved in wheat tillering development in two pairs of near-isogenic lines.Functional & integrative genomics · 2020Article
- Genome-wide analysis of long non-coding RNAs (lncRNAs) in two contrasting rapeseed (Brassica napus L.) genotypes subjected to drought stress and re-watering.BMC plant biology · 2020Article
- Genome-Wide Identification of Long Non-coding RNA in Trifoliate Orange (International journal of molecular sciences · 2019Article
- Genome-Wide Analysis of Coding and Long Non-Coding RNAs Involved in Cuticular Wax Biosynthesis in Cabbage (International journal of molecular sciences · 2019Article
- Genome-Wide Analysis of theInternational journal of genomics · 2019Article
- Transcriptional regulation of osmotic stress tolerance in wheat (Triticum aestivum L.).Plant molecular biology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLong non-coding RNAs (lncRNAs) play important roles in plant growth and stress responses. Studies of lncRNAs in non-model plants are quite limited, especially those investigating multiple dehydration stresses. In this study, we identified novel lncRNAs and analyzed their functions in dehydration stress memory in switchgrass, an excellent biofuel feedstock and soil-conserving plant in the Gramineae family.
resultsWe analyzed genome-wide transcriptional profiles of leaves of 5-week-old switchgrass plantlets grown via tissue culture after primary and secondary dehydration stresses (D1 and D2) and identified 16,551 novel lncRNAs, including 4554 annotated lncRNAs (targeting 3574 genes), and 11,997 unknown lncRNAs. Gene ontology and pathway enrichment analysis of annotated genes showed that the differentially expressed lncRNAs were related to abscisic acid (ABA) and ethylene (ETH) biosynthesis and signal transduction, and to starch and sucrose metabolism. The upregulated lncRNAs and genes were related to ABA synthesis and its signal transduction, and to trehalose synthesis. Meanwhile, lncRNAs and genes related to ETH biosynthesis and signal transduction were suppressed. LncRNAs and genes involved in ABA metabolism were verified using quantitative real-time PCR, and the endogenous ABA content was determined via high performance liquid chromatography mass spectrometry (HPLC-MS). These results showed that ABA accumulated significantly during dehydration stress, especially in D2. Furthermore, we identified 307 dehydration stress memory lncRNAs, and the ratios of different memory types in switchgrass were similar to those in Arabidopsis and maize.
conclusionsThe molecular responses of switchgrass lncRNAs to multiple dehydration stresses were researched systematically, revealing novel information about their transcriptional regulatory behavior. This study provides new insights into the response mechanism to dehydration stress in plants. The lncRNAs and pathways identified in this study provide valuable information for genetic modification of switchgrass and other crops.
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.