2022
DOI: 10.1038/s41598-022-22589-z
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Combination of long-read and short-read sequencing provides comprehensive transcriptome and new insight for Chrysanthemum morifolium ray-floret colorization

Abstract: Chrysanthemum morifolium is one of the most popular ornamental plants globally. Owing to its large and complex genome (around 10 Gb, segmental hexaploid), it has been difficult to obtain comprehensive transcriptome, which will promote to perform new breeding technique, such as genome editing, in C. morifolium. In this study, we used single-molecule real-time (SMRT) sequencing and RNA-seq technologies, combined them with an error-correcting process, and obtained high-coverage ray-floret transcriptome. The SMRT-… Show more

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Cited by 2 publications
(2 citation statements)
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“…For downstream analysis in Chinese fir, after the adapter sequences and low-quality sequences of raw reads were deleted, clean reads were assembled using Trinity (v2.8.5) 57 . CD-hit was used to classify transcripts, corset was used to remove redundancy, and BUSCO (Benchmarking Universal Single Copy Orthologs, V 3.0.2) was used for the evaluation of the quality of the constructed transcriptome sequences 58, 59 . Then, these sequences were annotated by commonly used databases, including NCBI protein non-redundant database (NR), and Gene Ontology (GO) (http://www.geneontology.org/).…”
Section: Methodsmentioning
confidence: 99%
“…For downstream analysis in Chinese fir, after the adapter sequences and low-quality sequences of raw reads were deleted, clean reads were assembled using Trinity (v2.8.5) 57 . CD-hit was used to classify transcripts, corset was used to remove redundancy, and BUSCO (Benchmarking Universal Single Copy Orthologs, V 3.0.2) was used for the evaluation of the quality of the constructed transcriptome sequences 58, 59 . Then, these sequences were annotated by commonly used databases, including NCBI protein non-redundant database (NR), and Gene Ontology (GO) (http://www.geneontology.org/).…”
Section: Methodsmentioning
confidence: 99%
“…Although we could obtain many isoforms from RNA-Seq by Illumina, we should also recognize many artifacts and chimeric structures in the data. In chrysanthemum, RNA-Seq analysis was performed for both purposes, expression analysis and comprehensive transcript construction [68,69], even if short-and long-read NGS technology could not solve the complexity of transcripts in chrysanthemum because of many heterogenous transcripts. In combination with the accumulating genomic information, transcriptome data will be a powerful tool for molecular breeding in Chrysanthemum.…”
Section: Transcriptome Analyses Of Chrysanthemum In Recent Yearsmentioning
confidence: 99%