Evidence map›Paper›PMID 18454850›Full record

ArticleBMC microbiology2008

Identification of new genes in Sinorhizobium meliloti using the Genome Sequencer FLX system.

Chunhong Mao, Clive Evans, Roderick V Jensen, Bruno Ws Sobral

Abstract read
In one paragraph

Article in BMC microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Studying bacterial transcriptomes using RNA-seq.Current opinion in microbiology · 2010
    Review
  9. Article
  10. Article
  11. Article
  12. RNA-seq: from technology to biology.Cellular and molecular life sciences : CMLS · 2010
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

4 authors.

Chunhong MaoVirginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. chmao@vt.edu
Clive Evans
Roderick V Jensen
Bruno Ws Sobral

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSinorhizobium meliloti is an agriculturally important model symbiont. There is an ongoing need to update and improve its genome annotation. In this study, we used a high-throughput pyrosequencing approach to sequence the transcriptome of S. meliloti, and search for new bacterial genes missed in the previous genome annotation. This is the first report of sequencing a bacterial transcriptome using the pyrosequencing technology.

resultsOur pilot sequencing run generated 19,005 reads with an average length of 136 nucleotides per read. From these data, we identified 20 new genes. These new gene transcripts were confirmed by RT-PCR and their possible functions were analyzed.

conclusionOur results indicate that high-throughput sequence analysis of bacterial transcriptomes is feasible and next-generation sequencing technologies will greatly facilitate the discovery of new genes and improve genome annotation.

Indexed as

Gene Expression ProfilingGenome, BacterialChromosome MappingDNA, BacterialGenes, BacterialMolecular Sequence DataReverse Transcriptase Polymerase Chain ReactionSequence Analysis, DNASinorhizobium melilotiDNA, Bacterial

Identifiers

PMID18454850
PMCPMC2396165

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Registered trials

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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.