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Journal ArticleDOI

Transcriptome profiling of developmental leaf senescence in sorghum (Sorghum bicolor).

TLDR
The monocot C4 model crop Sorghum bicolor is explored for a holistic picture of SAG profiles by RNA-seq, and the candidate orthologues of the known important senescence transcription factors showed “SAG” expression patterns, implicating their possible roles in regulating sorghum leafsenescence.
Abstract
This piece of the submission is being sent via mail. Leaf senescence is essential for the nutrient economy of crops and is executed by so-called senescence-associated genes (SAGs). Here we explored the monocot C4 model crop Sorghum bicolor for a holistic picture of SAG profiles by RNA-seq. Leaf samples were collected at four stages during developmental senescence, and in total, 3396 SAGs were identified, predominantly enriched in GO categories of metabolic processes and catalytic activities. These genes were enriched in 13 KEGG pathways, wherein flavonoid and phenylpropanoid biosynthesis and phenylalanine metabolism were overrepresented. Seven regions on Chromosomes 1, 4, 5 and 7 contained SAG ‘hotspots’ of duplicated genes or members of cupin superfamily involved in manganese ion binding and nutrient reservoir activity. Forty-eight expression clusters were identified, and the candidate orthologues of the known important senescence transcription factors such as ORE1, EIN3 and WRKY53 showed “SAG” expression patterns, implicating their possible roles in regulating sorghum leaf senescence. Comparison of developmental senescence with salt- and dark- induced senescence allowed for the identification of 507 common SAGs, 1996 developmental specific SAGs as well as 176 potential markers for monitoring senescence in sorghum. Taken together, these data provide valuable resources for comparative genomics analyses of leaf senescence and potential targets for the manipulation of genetic improvement of Sorghum bicolor.

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Citations
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Journal ArticleDOI

Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize.

TL;DR: This study provides a foundation for enhanced understanding and manipulation of senescence for increasing carbon yield, nutritional quality, and stress tolerance of maize and other cereals.
Journal ArticleDOI

LSD 3.0: a comprehensive resource for the leaf senescence research community.

TL;DR: The updated LSD to a new version LSD 3.0, which contains 5853 genes and 617 mutants from 68 species, bears great utility to continue to provide users with useful resources for studies of leaf senescence.
Journal ArticleDOI

Transcription Factors Associated with Leaf Senescence in Crops.

TL;DR: A comprehensive review on senescence-associated transcription factors, in model plant species and in agronomic relevant crops is presented, providing a valuable tool to assist molecular crop breeding.
Journal ArticleDOI

Sorghum breeding in the genomic era: opportunities and challenges

TL;DR: The importance and potential of the multi-purpose crop sorghum in global food security have not yet been fully exploited, and the integration of the state-of-the-art genomics and high-throughput technologies into breeding practice is required as discussed by the authors.
Journal ArticleDOI

The Cotton GhWRKY91 Transcription Factor Mediates Leaf Senescence and Responses to Drought Stress in Transgenic Arabidopsis thaliana

TL;DR: The results suggest that GhWRKY91 might negatively regulate natural and stress-induced leaf senescence and provide a foundation for further functional studies on leaf senesence and the stress response in cotton.
References
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TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.
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Journal ArticleDOI

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

TL;DR: The results suggest that Cufflinks can illuminate the substantial regulatory flexibility and complexity in even this well-studied model of muscle development and that it can improve transcriptome-based genome annotation.
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Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

TL;DR: This protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results, which takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
Journal ArticleDOI

KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases

TL;DR: A web server, KOBAS 2.0, is reported, which annotates an input set of genes with putative pathways and disease relationships based on mapping to genes with known annotations, which allows for both ID mapping and cross-species sequence similarity mapping.
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