2022
DOI: 10.1186/s12870-022-03992-0
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A survey of the full-length transcriptome of Gracilariopsis lemaneiformis using single-molecule long-read sequencing

Abstract: Background Posttranscriptional processing of precursor mRNAs contributes to transcriptome and protein diversity and gene regulatory mechanisms in eukaryotes. However, this posttranscriptional mechanism has not been studied in the marine macroalgae Gracilariopsis lemaneiformis, which is the most cultivated red seaweed species in China. Results In the present study, third-generation sequencing (Pacific Biosciences single-molecule real-time long-read … Show more

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Cited by 3 publications
(3 citation statements)
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“…RNA-seq was conducted on BGISEQ-500 by BGI company (Shenzhen, China). The reference transcripts were obtained through merging the annotation file from the reference genome [66] and the newly identified isoform annotation file by Iso-Seq [67]. We removed the low-quality reads (those exceeding 50% of low-quality bases with Q15) and reads that contained adaptor sequences or unidentified nucleotides more than 10% to the total read pool to obtain clean data.…”
Section: Transcriptome Analysismentioning
confidence: 99%
“…RNA-seq was conducted on BGISEQ-500 by BGI company (Shenzhen, China). The reference transcripts were obtained through merging the annotation file from the reference genome [66] and the newly identified isoform annotation file by Iso-Seq [67]. We removed the low-quality reads (those exceeding 50% of low-quality bases with Q15) and reads that contained adaptor sequences or unidentified nucleotides more than 10% to the total read pool to obtain clean data.…”
Section: Transcriptome Analysismentioning
confidence: 99%
“…SOAPnuke (https:// github.com/BGI-flexlab/SOAPnuke) was used to remove reads containing adapter sequences or more than 10% unidentified nucleotides and low-quality reads to obtain clean read databases. The clean data were mapped to the reference transcripts, which combined the transcripts from genomic annotation and full-length transcripts obtained by SMRT-Seq (Chen et al, 2022b), by Bowtie2 (https://bowtie-bio.sourceforge.net/bowtie2/index.shtml). Expectation Maximization (RSEM) tool was applied to calculate the transcript abundance of each gene in each sample based on fragments per kilobase per million reads (FPKM) (Li and Dewey, 2011).…”
Section: Rna Sequencing and Analysis Of Differentially Expressed Genesmentioning
confidence: 99%
“…It increases the chances for discovering new genes and detecting AS events, APA, as well as lncRNAs. The combined application of second- and third-generation sequencing technologies has emerged as a powerful tool in transcriptomics research, successfully revealing transcriptome and gene structure information in multiple plant species [ 22 25 ].…”
Section: Introductionmentioning
confidence: 99%