| Literature DB >> 33313367 |
Andrey Knyazev1, Anna Glushkevich1, Igor Fesenko1.
Abstract
Nonsense-mediated mRNA decay (NMD) is a system that controls the quality of mRNA transcripts in eukaryotes by degradation of aberrant transcripts in a pioneer round of translation. In mammals, NMD targets one-third of mutated, disease-causing mRNAs and ∼10% of unmutated mRNAs, facilitating appropriate cellular responses to environmental changes [1]. In plants, NMD plays an important role in development and regulating abiotic and biotic stress responses [2]. The transcripts with premature termination codons (PTCs), upstream ORFs or long 3'-UTRs can be targeted to NMD. It was shown that alternative splicing plays a crucial role in regulation of NMD triggering, for example, by the introduction of a PTC in transcripts. Therefore, the correct identification of mRNA isoforms is a key step in the study of the principles of regulation of the cell transcriptome by the NMD pathway. Here, we performed long-read sequencing of Physcomitrella (Physcomitrium patens) mutant smg1Δ line 2 native transcriptome by Oxford Nanopore Technology (ONT). The smg1Δ is a knockout (KO) mutant deficient in SMG1 kinase is a key component of NMD system in plants and animals [3]. RNA was isolated with Trizol from 5 day old protonemata and sequenced using kit SQK-RNA002, flow cells FLO-MIN106 and a MinION device (Oxford Nanopore Technologies Ltd., UK (ONT)) in three biological repeats. Basecalling was performed with Guppy v.4.0.15. The presented transcriptomes give advantages in the identification and functional characterization of RNA transcripts that are direct targets of the Nonsense-mediated mRNA decay system.Entities:
Keywords: Direct RNA sequencing; Nonsense-mediated decay; Physcomitrella (Physcomitrium patens); SMG1 knockout; Transcriptomics
Year: 2020 PMID: 33313367 PMCID: PMC7721605 DOI: 10.1016/j.dib.2020.106602
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Descriptive statistics of sequences submitted to the NCBI Sequence Read Archive (SRA).
| ID | Biosample accession no. | Mean Qscore | Total number of reads | Median read length | Reads mapped to reference | Reads mapped to control | Reads with Qscore >= 7 | Max length |
|---|---|---|---|---|---|---|---|---|
| n1 | SAMN16539252 | 10.1 | 1514213 | 932 | 93.8% | 1.35% | 94.6% | 51089 |
| n2 | SAMN16539253 | 9.4 | 1321600 | 830 | 91.25% | 0.45% | 87.7% | 22715 |
| n3 | SAMN16539254 | 10.2 | 1895455 | 759 | 91.8% | 2.68% | 94.3% | 41623 |
Fig. 1Distributions of read lengths. Line colours represent sample IDs.
| Subject | Molecular biology |
| Specific subject area | Transcriptomics |
| Type of data | Transcriptome sequences |
| How data were acquired | Direct RNA sequencing was performed with a MinION (Oxford Nanopore Technologies Ltd., UK (ONT)), R9.4.1 flow cells and Guppy v.4.0.15 basecaller |
| Data format | Raw reads in FASTQ format |
| Parameters for data collection | Protonemata of mutant line smg1Δ were grown in 200 ml liquid BCD medium supplemented with 5 mM ammonium tartrate (BCDAT) during a 16-h photoperiod at 250C |
| Description of data collection | RNA was isolated by Trizol and poly(A) was selected using Poly(A)Purist™-MAG. Direct RNA sequencing kit by Oxford Nanopore (SQK-RNA002) was used for library preparations. |
| Data source location | Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences |
| Data accessibility | Repository name: BioProject |