2020
DOI: 10.1080/13102818.2020.1788420
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Transcriptome sequencing and expression profiling of genes involved in daylily (Hemerocallis citrina Borani) flower development

Abstract: Daylily (Hemerocallis citrina Borani), a widespread ornamental plant around the world, has been considered as an ideal model to study flower development recently. To initiate the research to comprehensively investigate the molecular mechanism of the flower development of daylily, we performed a transcriptome sequencing study to establish the transcriptional profiles of this plant at different flower developmental stages. Briefly, we divided the flower development of daylily into six stages, and performed trans… Show more

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Cited by 6 publications
(2 citation statements)
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“…tools [15]. Differentially expressed genes were identified using the Cuffdiff program, and the changes were screened with the threshold |log 2 ratio| > 1 and FDR < 0.01 [16].…”
Section: Sequencing Data Analysis and Identification Of Differentially Expressed Genesmentioning
confidence: 99%
“…tools [15]. Differentially expressed genes were identified using the Cuffdiff program, and the changes were screened with the threshold |log 2 ratio| > 1 and FDR < 0.01 [16].…”
Section: Sequencing Data Analysis and Identification Of Differentially Expressed Genesmentioning
confidence: 99%
“…RNA-Seq is an efficient and powerful tool for profiling the complete gene space of any organism, and it is used to study the flowering regulation mechanism in many plants, such as M. sativa , Gossypium hirsutum , Paeonia suffruticosa , and Hemerocallis citrina [ 1 , 30 , 47 , 48 ]. Metabolomics is the characterization of the metabolites that are present in an organism based on gas chromatography–mass spectrometry (GC-MS), liquid chromatography–mass spectrometry (LC-MS), and nuclear magnetic resonance platforms, and it is divided into four categories: the target analysis of metabolites, metabolic profiling, metabolomics, and metabolic fingerprint analysis [ 49 ].…”
Section: Introductionmentioning
confidence: 99%