Evidence map›Paper›PMID 27107716›Full record

ArticleBMC genomics2016

Genome-wide transcription start site mapping of Bradyrhizobium japonicum grown free-living or in symbiosis - a rich resource to identify new transcripts, proteins and to study gene regulation.

Jelena Čuklina, Julia Hahn, Maxim Imakaev, Ulrich Omasits, Konrad U Förstner, Nikolay Ljubimov, Melanie Goebel, Gabriella Pessi, Hans-Martin Fischer, Christian H Ahrens and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
24.7field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Computationally Reconstructed Interactome ofInternational journal of molecular sciences · 2021
    Article
  14. Identification of the Important Genes ofFrontiers in microbiology · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 4 countries.

Jelena ČuklinaAA Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoi Karetny pereulok 19, Moscow, 127051, Russia.
Julia HahnInstitute of Microbiology and Molecular Biology, University of Giessen, Heinrich-Buff-Ring 26-32, D-35392, Giessen, Germany.
Maxim ImakaevDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, USA.
Ulrich OmasitsAgroscope, Institute for Plant Production Sciences, Research Group Molecular Diagnostics, Genomics and Bioinformatics & Swiss Institute of Bioinformatics (SIB), Schloss 1, CH-8820, Wädenswil, Switzerland.
Konrad U FörstnerCore Unit Systems Medicine, University of Würzburg, Josef-Schneider-Str. 2 Bau D15, D-97080, Würzburg, Germany.
Nikolay LjubimovLomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Leninskie Gory, 2-nd educational building, Moscow, 119991, Russia.
Melanie GoebelInstitute of Microbiology and Molecular Biology, University of Giessen, Heinrich-Buff-Ring 26-32, D-35392, Giessen, Germany.
Gabriella PessiETH, Institute of Microbiology, Vladimir-Prelog-Weg 4, CH-8093, Zürich, Switzerland.
Hans-Martin FischerETH, Institute of Microbiology, Vladimir-Prelog-Weg 4, CH-8093, Zürich, Switzerland.
Christian H AhrensAgroscope, Institute for Plant Production Sciences, Research Group Molecular Diagnostics, Genomics and Bioinformatics & Swiss Institute of Bioinformatics (SIB), Schloss 1, CH-8820, Wädenswil, Switzerland. christian.ahrens@agroscope.admin.ch.
Mikhail S GelfandAA Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoi Karetny pereulok 19, Moscow, 127051, Russia. gelfand@iitp.ru.
Elena Evguenieva-HackenbergInstitute of Microbiology and Molecular Biology, University of Giessen, Heinrich-Buff-Ring 26-32, D-35392, Giessen, Germany. Elena.Evguenieva-Hackenberg@mikro.bio.uni-giessen.de.
University of Giessen · DEETH Zurich · CHLomonosov Moscow State University · RUAgroscope · CHMassachusetts Institute of Technology · USSIB Swiss Institute of Bioinformatics · CHUniversity of Würzburg · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferential RNA-sequencing (dRNA-seq) is indispensable for determination of primary transcriptomes. However, using dRNA-seq data to map transcriptional start sites (TSSs) and promoters genome-wide is a bioinformatics challenge. We performed dRNA-seq of Bradyrhizobium japonicum USDA 110, the nitrogen-fixing symbiont of soybean, and developed algorithms to map TSSs and promoters.

resultsA specialized machine learning procedure for TSS recognition allowed us to map 15,923 TSSs: 14,360 in free-living bacteria, 4329 in symbiosis with soybean and 2766 in both conditions. Further, we provide proteomic evidence for 4090 proteins, among them 107 proteins corresponding to new genes and 178 proteins with N-termini different from the existing annotation (72 and 109 of them with TSS support, respectively). Guided by proteomics evidence, previously identified TSSs and TSSs experimentally validated here, we assign a score threshold to flag 14 % of the mapped TSSs as a class of lower confidence. However, this class of lower confidence contains valid TSSs of low-abundant transcripts. Moreover, we developed a de novo algorithm to identify promoter motifs upstream of mapped TSSs, which is publicly available, and found motifs mainly used in symbiosis (similar to RpoN-dependent promoters) or under both conditions (similar to RpoD-dependent promoters). Mapped TSSs and putative promoters, proteomic evidence and updated gene annotation were combined into an annotation file.

conclusionsThe genome-wide TSS and promoter maps along with the extended genome annotation of B. japonicum represent a valuable resource for future systems biology studies and for detailed analyses of individual non-coding transcripts and ORFs. Our data will also provide new insights into bacterial gene regulation during the agriculturally important symbiosis between rhizobia and legumes.

Indexed as

Promoter Regions, GeneticTranscription Initiation SiteAlgorithmsBradyrhizobiumChromosome MappingComputational BiologyGlycine maxMachine LearningProteomeRNA, BacterialSequence Analysis, RNASymbiosisProteomeRNA, BacterialAntisense RNABradyrhizobiumGenome re-annotationInternal transcription start siteNodulePromoter predictionProteogenomicsRNA-seqTranscription start site

Identifiers

PMID27107716
PMCPMC4842269
OpenAlexW2340274683

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.