International Journal of Molecular Sciences · 2018 · 27 citations · 55 references
Life SciencesPlant BiologyPlant SciencesGene ExpressionGenomicsTranscriptomicsDrought Stress PhysiologyPlant Gene ExpressionPlant Transcriptional RegulationPlant TranscriptomicsTranscript Sequence AnalysisTranscriptomics Of Stress ResponsesDrought Resistance MechanismsDrought StressDrought Stress Response GenesDrought-induced Gene ExpressionGene Expression Regulation Under DroughtResistance To DroughtTranscriptome AnalysisWhole Transcriptome Analysis
is a widely used landscape plant with a very high ornamental value. We found that Verbena has drought tolerance in production practice, so in order to delve into its mechanism of drought resistance and screen out its drought-resistance genes, we used the RNA-Seq platform to perform a de novo transcriptome assembly to analyze Verbena transcription response to drought stress. By high-throughput sequencing with Illumina Hiseq Xten, a total of 44.59 Gb clean data was obtained from T01 (control group) and T02 (drought experiment group). After assembly, 111,313 unigenes were obtained, and 53,757 of them were annotated by compared databases. In this study, 4829 differentially expressed genes were obtained, of which 4165 were annotated. We performed GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses, and explored a lot of differently expressed genes related to plant energy production, hormone synthesis, cell signal transduction, and metabolism to understand the stress response of Verbena in drought stress. In addition, we also found that a series of TFs related to drought-resistance of Verbena and provide excellent genetic resources for improving the drought tolerance of crops.
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Full-length transcriptome assembly from RNA-Seq data without a reference genome
Manfred Grabherr, Brian J. Haas, Moran Yassour et al. · Nature Biotechnology · 2011 · 22.6K citations · Full text