Genome-wide identification of transcriptional start sites in the haloarchaeon Haloferax volcanii based on differential RNA-Seq (dRNA-Seq)
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ABSTRACT:
ORGANISM(S): Haloferax volcanii
PROVIDER: GSE82206 | GEO | 2016/08/10
SECONDARY ACCESSION(S): PRJNA324298
REPOSITORIES: GEO
Similar Datasets
Project description:Three biological replicates of H. volcanii grown under optimal conditions to mid-exponential growth phase were used to determine the primary transcriptome and map 5â-ends of transcripts. In total, 4,749 potential transcriptional start sites (TSS) were detected. A position weight matrix was derived for promoter prediction, showing that 64% of the TSS were preceded by stringent or relaxed basal promoters. 1,851 TSS belonged to protein-coding genes, showing that less than half (46%) of the 4040 protein-coding genes are expressed under optimal growth conditions. 72% of all protein-coding transcripts were leaderless, underscoring that this is the default pathway for translation initiation in haloarchaea. The 5â-UTRs of transcripts with leaders had a widely varying length distribution without any optimum. 2,898 of the TSS belong to potential non-coding RNAs, representing an unexpectedly high fraction (61%) among all transcripts. 2792 of the non-coding TSS had not been described before and were thus novel (59% of all TSS). A large fraction of the potential novel non-coding transcripts are cis-antisense RNAs (1,244 aTSS). There was a strong negative correlation between the levels of antisense transcripts and cognate sense mRNAs, suggesting that negative regulation of gene expression via antisense RNAs may play an important role in haloarchaea. The other types of novel non-coding transcripts correspond to internal transcripts overlapping with mRNAs (1,153 iTSS) and intergenic small RNA (sRNA) candidates (395 TSS). Three biological replicates were performed with slight differences in library preparation. In each case, part of the sample was treated with terminator 5'-phosphate-dependent exonuclease (+TEX), while part of the sample remained untreated (-TEX). Therefore, in total, six samples were analysed by high-throughput sequencing.
2016-08-10 | E-GEOD-82206 | biostudies-arrayexpress
Project description:Listeria monocytogenes is a human, food-borne pathogen. Genomic comparisons between L. monocytogenes and Listeria innocua, a closely related non-pathogenic species, were pivotal in the identification of protein coding genes essential for virulence. However, no comprehensive comparison has focused on the non-coding genome. We used strand-specific cDNA sequencing to produce genome-wide transcription start site (TSS) maps for both organisms, and developed a publicly available integrative browser to visualize and analyze both transcriptomes in different growth conditions and genetic backgrounds. Our data revealed conservation across most transcripts, but significant divergence between the species in a subset of non-coding RNAs. In L. monocytogenes we identified 113 sRNAs and 70 asRNAs, significantly increasing the repertoire of non coding RNAs in this species. Remarkably, we identified a class of long antisense transcripts (lasRNAs) that overlap one gene while also serving as the 5M-bM-^@M-^Y UTR of the adjacent divergent gene. Experimental evidence suggests that lasRNAs transcription inhibits expression of one operon while activating the expression of another. Such lasRNA/operon structure, termed "excludon", might represent a novel form of regulation in bacteria. Construction of consensus TSS-maps in Listeria monocytogenes and Listeria innocua by applying 5'-end sequencing on samples in different conditions and genetic backgrounds.
2012-05-01 | E-GEOD-36060 | biostudies-arrayexpress
Project description:Recently a dRNA-Seq study with Haloferax volcanii has been published that led to the discovery of nearly 2800 novel transcription start sites for non-coding RNAs. However, the dRNA-Seq results are confined to the 5'-end of transcripts and does not contain any length information. Therefore, a major aim of the present RNA-Seq study was the elucidation of the lengths of the novel non-coding RNAs. A second aim was to analyze the operon structure of protein-coding genes. The recent dRNA-Seq study was confined to cultures grown under optimal conditions. It was revealed that less than half of the protein-coding genes were expressed. Therefore, the present RNA-Seq study used cultures grown under four different conditions to identify further transcripts of protein-coding genes that are not needed under optimal conditions. RNA samples from the four conditions were mixed prior to the RNA-Seq analyses (mixed RNA-Seq). The results allowed to characterize the sum of transcriptomes of H. volcanii under four conditions. Northern blot analyses were used to characterize selected examples in detail. Many important results were obtained, including the length determination of all transcripts, a genome-wide operon analysis, verification of a high fraction of antisense RNAs, and the discovery that 30% of all protein-coding transcripts have overlapping 3'-UTRs.
2018-09-08 | GSE119686 | GEO
Project description:Background: Prokaryotes have relatively small genomes, densely-packed and apparently dominated by protein-encoding sequences. However, data now generated by high throughput RNA sequencing (RNA-seq) reveal surprisingly more-complex transcriptomes with many previously unrecognized and unanticipated non-coding small and antisense transcripts. To date, such studies have investigated primarily Bacteria. Here, we report the transcripts present in Thermococcus kodakarensis, a model hyperthermophilic Archaeon, synthesized under different growth and metabolic conditions. Results: cDNA libraries, generated from RNA preparations isolated from cells growing in media with sulfur or pyruvate, with sulfur to stationary phase, and growing with pyruvate but with sulfur added 20 min before RNA isolation, have been deep-sequenced. The results identify >2,700 sites of transcription initiation, establish a genome-wide map of transcripts, and consensus sequences for transcription initiation and post-transcription regulatory elements in T. kodakarensis. Primary transcription start sites (TSS) are identified upstream of 1,254 annotated genes, including ~78 % of those predicted by promoter locations, and an additional 644 primary TSS and their promoters have been identified within genes. Most of the mRNAs have a 5'-untranslated region (5'-UTR) between 10 and 50 nt long (median length = 16 nt), ~20 % have 5'-UTRs from 50 to 300 nt long, ~14 % are leaderless with 5'-UTRs ≤8 nt, and ~50% contain a consensus ribosome binding sequence. The results also identify TSS for 1,018 antisense transcripts, most with sequences complementary to either the 5'- or 3'-region of a sense mRNA. The data confirm the presence of transcripts from all three CRISPR loci, the RNase P and 7S RNAs, all tRNAs and rRNAs and 69 snoRNAs predicted to be encoded in the T. kodakarensis genome. Two transcripts, putatively identified as riboswitches, were present in RNA preparations isolated from growing but not from stationary phase cells. The procedure used is designed to identify TSS but, assuming that the number of cDNA reads correlates with transcript abundance, the data obtained also provide a semi-quantitative overview of global operon expression. They document substantial differences in gene expression under different physiological conditions and are consistent with previous observations of substrate-dependent specific gene expression. Many previously unrecognized and unanticipated small RNAs have been identified, some with relative low GC contents (≤50%) and sequences that do not fold readily into base-paired secondary structures, contrary to the classical expectations for non-coding RNAs in a hyperthermophile. Conclusion: We have identified >2,700 TSS that include almost all of the primary sites of transcription initiation upstream of annotated genes, and also many secondary sites, sites within genes and sites resulting in antisense transcripts. The T. kodakarensis genome is small (~2.1 Mbp) and tightly packed with protein-encoding genes, but the results reveal the presence of many non-coding RNAs and predict extensive RNA-based regulation in T. kodakarensis.
2014-08-18 | GSE56262 | GEO
Project description:Listeria monocytogenes is a human, food-borne pathogen. Genomic comparisons between L. monocytogenes and Listeria innocua, a closely related non-pathogenic species, were pivotal in the identification of protein coding genes essential for virulence. However, no comprehensive comparison has focused on the non-coding genome. We used strand-specific cDNA sequencing to produce genome-wide transcription start site (TSS) maps for both organisms, and developed a publicly available integrative browser to visualize and analyze both transcriptomes in different growth conditions and genetic backgrounds. Our data revealed conservation across most transcripts, but significant divergence between the species in a subset of non-coding RNAs. In L. monocytogenes we identified 113 sRNAs and 70 asRNAs, significantly increasing the repertoire of non coding RNAs in this species. Remarkably, we identified a class of long antisense transcripts (lasRNAs) that overlap one gene while also serving as the 5’ UTR of the adjacent divergent gene. Experimental evidence suggests that lasRNAs transcription inhibits expression of one operon while activating the expression of another. Such lasRNA/operon structure, termed "excludon", might represent a novel form of regulation in bacteria.
2012-05-01 | GSE36060 | GEO
Project description:Systemic sclerosis (SSc) is an autoimmune disease characterized by fibrosis of skin and multiple organs of which the pathogenesis is poorly understood. Here we studied differentially expressed coding and non-coding genes in relation to SSc pathogenesis with a specific focus on antisense non-coding RNAs. Skin biopsy-derived RNAs from fourteen early SSc patients and six healthy individuals were sequenced with ion-torrent and analysed using DEseq2. Overall, 4901 genes with a fold change >1.5 and a false discovery rate < 5% were detected in patients versus controls. Upregulated genes clustered in immunological, cell adhesion and keratin-related processes. Interestingly, 676 deregulated non-coding genes were detected, 257 of which were classified as antisense genes. Sense genes expressed opposite of these antisense genes were also deregulated in 42% of the observed sense-antisense gene pairs. The majority of the antisense genes had a similar effect sizes in an independent North American dataset with three genes (CTBP1-AS2, OTUD6B-AS1 and AGAP2-AS1) exceeding the study-wide Bonferroni-corrected ρ-value (PBonf<0.0023, Pcombined = 1.1x10-9, 1.4x10-8, 1.7x10-6, respectively). In this study, we highlight that together with coding genes, (antisense) long non-coding RNAs are deregulated in skin tissue of SSc patients suggesting a novel class of genes involved in pathogenesis of SSc.
| EGAS00001002751 | EGA
Project description:LlorénsRico2016 - Effects of cis-Encoded antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
(this
model)
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2, the binding of the asRNA to
the mRNA induces degradation of the mRNA, but not of the asRNA.
In case 3, the mRNA and the asRNA bind reversibly to form a
stable duplex, preventing translation of the mRNA. In all the
three cases, binding to the ribosome protects the mRNA from the
effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170000 | BioModels
Project description:LlorénsRico2016 - Effects of cis-Encoded
antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2
(this
model)
the binding of the asRNA to the mRNA induces degradation of the
mRNA, but not of the asRNA. In case 3, the mRNA and the asRNA
bind reversibly to form a stable duplex, preventing translation
of the mRNA. In all the three cases, binding to the ribosome
protects the mRNA from the effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170001.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170001 | BioModels
Project description:LlorénsRico2016 - Effects of cis-Encoded
antisense RNAs (asRNAs) - Case3
Three putative
effects of the asRNAs were considered in this study: in case 1,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2, the binding of the asRNA
to the mRNA induces degradation of the mRNA, but not of the
asRNA. In case 3 (this model), the mRNA and the asRNA bind
reversibly to form a stable duplex, preventing translation of
the mRNA. In all the three cases, binding to the ribosome
protects the mRNA from the effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170002.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170002 | BioModels
Project description:Genomes from yeast to human are subject to pervasive transcription. A single round of pervasive transcription is sufficient to alter local chromatin conformation, nucleosome dynamics and gene expression, but is hard to distinguish from background signals. Size fractionated native elongating transcript sequencing (sfNET-Seq) was developed to precisely map nascent transcripts independent of expression levels. RNAPII-associated nascent transcripts are fractionation into different size ranges before library construction. When anchored to the transcription start sites (TSS) of annotated genes, the combined pattern of the output metagenes gives the expected reference pattern. Bioinformatic pattern matching to the reference pattern identified 9542 transcription units in Saccharomyces cerevisiae, of which 47% are coding and 53% are non-coding. 3113 (33%) are unannotated non-coding transcription units. Anchoring all transcription units to the TSS or polyadenylation site (PAS) of annotated genes reveals distinctive architectures of linked pairs of divergent transcripts approximately 200nt apart. The Reb1 transcription factor is enriched 30nt downstream of the PAS only when an upstream (TSS -60nt with respect to PAS) non-coding transcription unit co-occurs with a downstream (TSS+150nt) coding transcription unit and acts to limit levels of upstream antisense transcripts. The potential for extensive transcriptional interference is evident from low abundance unannotated transcription units with variable TSS (median -240nt) initiating within a 500nt window upstream of, and transcribing over, the promoters of protein coding genes. This study confirms a highly interleaved yeast genome with different types of transcription units altering the chromatin landscape in distinctive ways, with the potential to exert extensive regulatory control.
2024-02-06 | GSE246153 | GEO