Evidence map›Paper›PMID 32385251›Full record

ArticleScientific data2020

Transcriptome and translatome profiles of Streptomyces species in different growth phases.

Woori Kim, Soonkyu Hwang, Namil Lee, Yongjae Lee, Suhyung Cho, Bernhard Palsson, Byung-Kwan Cho

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  3. Current Approaches for Genetic Manipulation ofBiotech (Basel (Switzerland)) · 2025
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  6. RNA biology · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Ms1 RNA Interacts With the RNA Polymerase Core inFrontiers in microbiology · 2022
    Article
  11. Article
  12. Review
  13. Clavulanic Acid Production byAntibiotics (Basel, Switzerland) · 2021
    Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Woori Kim *Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Soonkyu Hwang *Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Namil Lee *Department of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Yongjae LeeDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Suhyung ChoDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Bernhard PalssonDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.ORCID http://orcid.org/0000-0003-2357-6785
Byung-Kwan ChoDepartment of Biological Sciences and KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea. bcho@kaist.ac.kr.ORCID http://orcid.org/0000-0003-4788-4184

Funding

National Research Foundation of Korea (NRF) 2018M3A9F3079664Novo Nordisk Fonden (Novo Nordisk Foundation) NNF10CC1016517
6 · The paper itself

Abstract

Streptomyces are efficient producers of various bioactive compounds, which are mostly synthesized by their secondary metabolite biosynthetic gene clusters (smBGCs). The smBGCs are tightly controlled by complex regulatory systems at transcriptional and translational levels to effectively utilize precursors that are supplied by primary metabolism. Thus, dynamic changes in gene expression in response to cellular status at both the transcriptional and translational levels should be elucidated to directly reflect protein levels, rapid downstream responses, and cellular energy costs. In this study, RNA-Seq and ribosome profiling were performed for five industrially important Streptomyces species at different growth phases, for the deep sequencing of total mRNA, and only those mRNA fragments that are protected by translating ribosomes, respectively. Herein, 12.0 to 763.8 million raw reads were sufficiently obtained with high quality of more than 80% for the Phred score Q30 and high reproducibility. These data provide a comprehensive understanding of the transcriptional and translational landscape across the Streptomyces species and contribute to facilitating the rational engineering of secondary metabolite production.

Indexed as

TranscriptomeHigh-Throughput Nucleotide SequencingMultigene FamilyRibosomesRNA, MessengerRNA-SeqSecondary MetabolismStreptomycesRNA, Messenger

Identifiers

PMID32385251
PMCPMC7210306

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Registered trials

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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.