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Dormancy cycling: translation-related transcripts are the main difference between dormant and non-dormant seeds in the field.

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TLDR
In this paper, a 2-year seed burial experiment in which dormancy cycling was studied at the physiological and transcriptional level is presented, and RNA-seq analysis revealed large transcriptional changes during dormancy cycle, especially at the time points preceding shifts in dormancy status.
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An Updated Overview on the Regulation of Seed Germination.

TL;DR: In this review, the established knowledge on the control of seed germination from a molecular and a genetic perspective is summarized and serves as a “backbone” to integrate the latest developments in the field.
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The Control of Seed Dormancy and Germination by Temperature, Light and Nitrate

TL;DR: The current knowledge of signal transduction networks linking environmental stimulus to seed dormancy establishment, dormancy break and germination is summarized, underscoring the dominating roles of temperature, light, and nitric oxide.
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Lost in Translation: Physiological Roles of Stored mRNAs in Seed Germination.

TL;DR: Seeds characteristics such as germination ability, dormancy, and storability/longevity are important traits in agriculture, and various genes have been identified that are involved in its regulation at the transcriptional and post-transcriptional level.
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Reactive Oxygen Species (ROS) and Nucleic Acid Modifications during Seed Dormancy

TL;DR: In Arabidopsis thaliana, while there is a global increase in CHH-context methylation through embryogenesis, global DNA methylation levels remain stable during seed dormancy, decreasing when germination occurs.
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Regulation of Seed Dormancy and Germination Mechanisms in a Changing Environment.

TL;DR: In this paper, the authors present the adaptation mechanism of seed dormancy and germination to the various environments, with emphasis on their prospective roles in adaptation to the changing climate, and focus on the network of genes controlling seed growth under the influence of environmental conditions.
References
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Journal ArticleDOI

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
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HISAT: a fast spliced aligner with low memory requirements

TL;DR: Tests showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method, and requires only 4.3 gigabytes of memory.
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StringTie enables improved reconstruction of a transcriptome from RNA-seq reads

TL;DR: StringTie, a computational method that applies a network flow algorithm originally developed in optimization theory, together with optional de novo assembly, to assemble these complex data sets into transcripts produces more complete and accurate reconstructions of genes and better estimates of expression levels.
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GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists

TL;DR: GOrilla is a web-based application that identifies enriched GO terms in ranked lists of genes, without requiring the user to provide explicit target and background sets, and its unique features and advantages over other threshold free enrichment tools include rigorous statistics, fast running time and an effective graphical representation.
Journal ArticleDOI

A classification system for seed dormancy

TL;DR: It is suggested that a modified version of the scheme of the Russian seed physiologist Marianna G. Nikolaeva be adopted and includes three hierarchical layers – class, level and type; thus, a class may contain levels and types, and a level may contain only types.
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