Evidence map›Paper›PMID 29346625›Full record

ArticleNucleic acids research2018

Complete genomic and transcriptional landscape analysis using third-generation sequencing: a case study of Saccharomyces cerevisiae CEN.PK113-7D.

Piroon Jenjaroenpun, Thidathip Wongsurawat, Rui Pereira, Preecha Patumcharoenpol, David W Ussery, Jens Nielsen, Intawat Nookaew

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 130 citations in OpenAlex.

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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Piroon JenjaroenpunDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Thidathip WongsurawatDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Rui PereiraDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg SE-412 96, Sweden.
Preecha PatumcharoenpolDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
David W UsseryDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg SE-412 96, Sweden.
Intawat NookaewDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
University of Arkansas for Medical Sciences · USChalmers University of Technology · SENovo Nordisk Foundation · DK

Funding

Translational Regulation in Normal Erythropoiesis and Diamond Blackfan AnemiaP20GM121293 · NIGMS · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI Alan Tackett, Sean D. Taverna · 2017 to 2026
$27.6M
NIGMS NIH HHS P20 GM121293
6 · The paper itself

Abstract

Completion of eukaryal genomes can be difficult task with the highly repetitive sequences along the chromosomes and short read lengths of second-generation sequencing. Saccharomyces cerevisiae strain CEN.PK113-7D, widely used as a model organism and a cell factory, was selected for this study to demonstrate the superior capability of very long sequence reads for de novo genome assembly. We generated long reads using two common third-generation sequencing technologies (Oxford Nanopore Technology (ONT) and Pacific Biosciences (PacBio)) and used short reads obtained using Illumina sequencing for error correction. Assembly of the reads derived from all three technologies resulted in complete sequences for all 16 yeast chromosomes, as well as the mitochondrial chromosome, in one step. Further, we identified three types of DNA methylation (5mC, 4mC and 6mA). Comparison between the reference strain S288C and strain CEN.PK113-7D identified chromosomal rearrangements against a background of similar gene content between the two strains. We identified full-length transcripts through ONT direct RNA sequencing technology. This allows for the identification of transcriptional landscapes, including untranslated regions (UTRs) (5' UTR and 3' UTR) as well as differential gene expression quantification. About 91% of the predicted transcripts could be consistently detected across biological replicates grown either on glucose or ethanol. Direct RNA sequencing identified many polyadenylated non-coding RNAs, rRNAs, telomere-RNA, long non-coding RNA and antisense RNA. This work demonstrates a strategy to obtain complete genome sequences and transcriptional landscapes that can be applied to other eukaryal organisms.

Indexed as

3' Untranslated Regions5' Untranslated RegionsDNA MethylationGenome, FungalGenomicsHigh-Throughput Nucleotide SequencingNanoporesRepetitive Sequences, Nucleic AcidRNA, FungalRNA, Long NoncodingSaccharomyces cerevisiaeSequence Analysis, DNA3' Untranslated Regions5' Untranslated RegionsRNA, FungalRNA, Long Noncoding

Identifiers

PMID29346625
PMCPMC5909453
OpenAlexW2782978800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.