4.7 Article

Mapping the Complex Transcriptional Landscape of the Phytopathogenic Bacterium Dickeya dadantii

期刊

MBIO
卷 13, 期 3, 页码 -

出版社

AMER SOC MICROBIOLOGY
DOI: 10.1128/mbio.00524-22

关键词

phytopathogen; transcriptional regulation; transcription unit; transcriptional read-through; transcription start and termination sites

资金

  1. French Research Ministry
  2. INSA Lyon (BQR 2016)
  3. IXXI
  4. Agence Nationale de la Recherche [ANR-18-CE45-0006-01]
  5. Breakthrough Phytobiome IDEX LYON project
  6. Universite de Lyon Program d'Investissements d'Avenir [ANR16-IDEX-0005]
  7. Centre National de la Recherche Scientifique
  8. Universite Claude Bernard Lyon 1

向作者/读者索取更多资源

This study presents the first transcriptomic map of a Dickeya species, which can significantly contribute to the field of phytopathogenicity. It also demonstrates the application of long-read Nanopore native RNA-seq in prokaryotes. The findings provide insights into the coordination of transcription in bacteria and suggest that gene expression is controlled at the level of transcription units rather than operons. The results have implications for microbial research and challenge the traditional operon model.
This is the first transcriptomic map of a Dickeya species. It may therefore significantly contribute to further progress in the field of phytopathogenicity. Dickeya dadantii is a phytopathogenic bacterium that causes soft rot in a wide range of plant hosts worldwide and a model organism for studying virulence gene regulation. The present study provides a comprehensive and annotated transcriptomic map of D. dadantii obtained by a computational method combining five independent transcriptomic data sets: (i) paired-end RNA sequencing (RNA-seq) data for a precise reconstruction of the RNA landscape; (ii) DNA microarray data providing transcriptional responses to a broad variety of environmental conditions; (iii) long-read Nanopore native RNA-seq data for isoform-level transcriptome validation and determination of transcription termination sites; (iv) differential RNA sequencing (dRNA-seq) data for the precise mapping of transcription start sites; (v) in planta DNA microarray data for a comparison of gene expression profiles between in vitro experiments and the early stages of plant infection. Our results show that transcription units sometimes coincide with predicted operons but are generally longer, most of them comprising internal promoters and terminators that generate alternative transcripts of variable gene composition. We characterize the occurrence of transcriptional read-through at terminators, which might play a basal regulation role and explain the extent of transcription beyond the scale of operons. We finally highlight the presence of noncontiguous operons and excludons in the D. dadantii genome, novel genomic arrangements that might contribute to the basal coordination of transcription. The highlighted transcriptional organization may allow D. dadantii to finely adjust its gene expression program for a rapid adaptation to fast-changing environments. IMPORTANCE This is the first transcriptomic map of a Dickeya species. It may therefore significantly contribute to further progress in the field of phytopathogenicity. It is also one of the first reported applications of long-read Nanopore native RNA-seq in prokaryotes. Our findings yield insights into basal rules of coordination of transcription that might be valid for other bacteria and may raise interest in the field of microbiology in general. In particular, we demonstrate that gene expression is coordinated at the scale of transcription units rather than operons, which are larger functional genomic units capable of generating transcripts with variable gene composition for a fine-tuning of gene expression in response to environmental changes. In line with recent studies, our findings indicate that the canonical operon model is insufficient to explain the complexity of bacterial transcriptomes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据