Evidence map›Paper›PMID 18504519›Full record

ArticleJournal of molecular evolution2008

Is 16S rDNA a reliable phylogenetic marker to characterize relationships below the family level in the enterobacteriaceae?

Marianna Naum, Eric W Brown, Roberta J Mason-Gamer

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Article in Journal of molecular evolution, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 115 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Marianna NaumDepartment of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA. marianna.naum@fda.hhs.gov
Eric W Brown
Roberta J Mason-Gamer
Center for Food Safety and Applied Nutrition · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylogenetic relationships of multiple enterobacterial species were reconstructed based on 16S rDNA gene sequences to evaluate the robustness of this housekeeping gene in the taxonomic placement of the enteric plant pathogens Erwinia, Brenneria, Pectobacterium, and Pantoea. Four data sets were compiled, two of which consisted of previously published data. The data sets were designed in order to evaluate how 16S rDNA gene phylogenies are affected by the use of different plant pathogen accessions and varying numbers of animal pathogen and outgroup sequences. DNA data matrices were analyzed using maximum likelihood (ML) algorithms, and character support was determined by ML bootstrap and Bayesian analyses. As additional animal pathogen sequences were added to the phylogenetic analyses, taxon placement changed. Further, the phylogenies varied in their placement of the plant pathogen species, and only the genus Pantoea was monophyletic in all four trees. Finally, bootstrap and Bayesian support values were low for most of the nodes, and all nonterminal branches collapsed in strict consensus trees. Inspection of 16S rDNA nucleotide alignments revealed several highly variable blocks punctuated by regions of conserved sequence. These data suggest that 16S rDNA, while effective for both species-level and family-level phylogenetic reconstruction, may underperform for genus-level phylogenetic analyses in the Enterobacteriaceae.

Indexed as

PhylogenyBase SequenceDNA, RibosomalEnterobacteriaceaeGenetic MarkersLikelihood FunctionsMolecular Sequence DataRNA, Ribosomal, 16SSequence AlignmentSequence Analysis, DNADNA, RibosomalGenetic MarkersRNA, Ribosomal, 16S

Identifiers

PMID18504519
OpenAlexW2123754608

What OpenQuestion holds

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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.