Evidence map›Paper›PMID 22937038›Full record

ArticlePloS one2012

Strand-specific RNA-seq reveals ordered patterns of sense and antisense transcription in Bacillus anthracis.

Karla D Passalacqua, Anjana Varadarajan, Charlotte Weist, Brian D Ondov, Benjamin Byrd, Timothy D Read, Nicholas H Bergman

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Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Initial Transcriptomic Response and Adaption ofFrontiers in microbiology · 2019
    Article
  5. Widespread antisense transcription of Populus genome under drought.Molecular genetics and genomics : MGG · 2018
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Quantitative bacterial transcriptomics with RNA-seq.Current opinion in microbiology · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Karla D PassalacquaSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Anjana Varadarajan
Charlotte Weist
Brian D Ondov
Benjamin Byrd
Timothy D Read
Nicholas H Bergman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough genome-wide transcriptional analysis has been used for many years to study bacterial gene expression, many aspects of the bacterial transcriptome remain undefined. One example is antisense transcription, which has been observed in a number of bacteria, though the function of antisense transcripts, and their distribution across the bacterial genome, is still unclear. METHODOLOGY/PRINCIPAL

findingsSingle-stranded RNA-seq results revealed a widespread and non-random pattern of antisense transcription covering more than two thirds of the B. anthracis genome. Our analysis revealed a variety of antisense structural patterns, suggesting multiple mechanisms of antisense transcription. The data revealed several instances of sense and antisense expression changes in different growth conditions, suggesting that antisense transcription may play a role in the ways in which B. anthracis responds to its environment. Significantly, genome-wide antisense expression occurred at consistently higher levels on the lagging strand, while the leading strand showed very little antisense activity. Intrasample gene expression comparisons revealed a gene dosage effect in all growth conditions, where genes farthest from the origin showed the lowest overall range of expression for both sense and antisense directed transcription. Additionally, transcription from both strands was verified using a novel strand-specific assay. The variety of structural patterns we observed in antisense transcription suggests multiple mechanisms for this phenomenon, suggesting that some antisense transcription may play a role in regulating the expression of key genes, while some may be due to chromosome replication dynamics and transcriptional noise. CONCLUSIONS/SIGNIFICANCE: Although the variety of structural patterns we observed in antisense transcription suggest multiple mechanisms for antisense expression, our data also clearly indicate that antisense transcription may play a genome-wide role in regulating the expression of key genes in Bacillus species. This study illustrates the surprising complexity of prokaryotic RNA abundance for both strands of a bacterial chromosome.

Indexed as

Bacillus anthracisOligonucleotide Array Sequence AnalysisRNARNA, AntisenseRNARNA, Antisense

Identifiers

PMID22937038
PMCPMC3425587

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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.