Project description:The gram-positive bacterium, Streptomyces avermitilis holds industrial importance, which produces widely used anthelmintic agent, avermectin. Furthermore, S. avermitilis is generally considered as a prominent heterologous gene expression host for diverse secondary metabolites biosynthesis. However, despite of its industrial importance, it largely remains unknown how its genome is organized and regulated for timely gene expression. Here, we determined 1,601 transcription units (TU) encoded in its genome using the integrated analysis of high-throughput sequencing data including dRNA-Seq, Term-Seq, RNA-Seq, and Ribo-Seq. In addition to TU cataloguing, these information-rich results also revealed the presence of diverse regulatory elements for the transcriptional and translational control of individual TU, such as promoters, 5¢-UTRs, terminators, 3¢-UTRs, and riboswitches. The conserved promoter sequences for transcription initiation were identified from 2,361 transcription start sites as 5¢-TANNNT and 5¢-TGAC for -10 and -35 elements, respectively. Interestingly, the -35 element and spacer length between them were critical for transcriptional regulation of functionally distinct genes. Total 2,017 transcription termination sites were detected from Term-Seq analysis, revealing that stem structure formation is a prerequisite for transcription termination and that Rho-independent termination prevails in S. avermitilis. Lastly, the TU architecture suggests the presence of novel small RNAs and cis-regulatory elements in the genome. Our findings will serve as invaluable resources for comprehensive understanding on regulatory features of S. avermitilis. Moreover, it is anticipated the elevation of its potential as the heterologous expression host for diverse secondary metabolite biosynthesis.

2020-03-03 | GSE118597 | GEO

Streptomyces avermitilis MA-4680 = NBRC 14893

Project description:Soil-dwelling producer of anti-parasitic agent avermectin and other secondary metabolites.

| PRJNA189 | ENA

Expression analysis of Streptomyces avermitilis NRRL8165 delta-aveI mutant

Project description:Investigation of whole genome gene expression level changes in Streptomyces avermitilis delta-aveI mutant, compared to the wild-type strain. The mutants analyzed in this study are further described in Chen L, Lu Y., Chen J, Zhang W, Shu D, Qin Z, Yang S, Jiang W. (2008) Characterization of a negative regulator AveI for avermectin biosynthesis in Streptomyces avermitilis NRRL8165. Appl Microbiol Biotechnol 80(2): 277-86. A six chip study using total RNA recovered from three separate Streptomyces avermitilis NRRL8165 and three separate cultures of a Streptomyces avermitilis NRRL8165 delta-aveI (delta-l) mutant. 3 separate RMA normalizations performed, one for each pair of control and mutant samples.

2010-05-16 | E-GEOD-16892 | biostudies-arrayexpress

Expression analysis of Streptomyces avermitilis NRRL8165 delta-aveI mutant

2009-07-02 | GSE16892 | GEO

Comparing the transcription level between fourth day and eighth day in Streptomyces avermitilis S0

Project description:Streptomyces avermitilis is a avermectin producer.Since the avermectin biosynthesis rate has a increased significantly in P3 fermentation stage( P1,24–96 h; P2:96–192 h, P3:192–240 h), but the sugar absorption rate decreased significantly in P3 fermentation stage, in order to improve the titer of avermectins, we conducted transcriptomic analysis of Streptomyces avermitilis S0 in fourth and eighth day, and selected native promoters with appropriate temple using to express sugar transporters.

2023-03-20 | GSE227240 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data