Evidence map›Paper›PMID 16528104›Full record

ArticleNucleic acids research2006

The Rhizobium etli sigma70 (SigA) factor recognizes a lax consensus promoter.

Miguel A Ramírez-Romero, Irina Masulis, Miguel A Cevallos, Víctor González, Guillermo Dávila

Abstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Genomic engineering inFrontiers in microbiology · 2025
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  3. Highly Efficient CRISPR-Mediated Base Editing inFrontiers in microbiology · 2021
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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

5 authors.

Miguel A Ramírez-RomeroPrograma de Genómica Evolutiva, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Apartado Postal 565-A, C.P 62210, Cuernavaca, Morelos, México.
Irina Masulis
Miguel A Cevallos
Víctor González
Guillermo Dávila

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A collection of Rhizobium etli promoters was isolated from a genomic DNA library constructed in the promoter-trap vector pBBMCS53, by their ability to drive the expression of a gusA reporter gene. Thirty-seven clones were selected, and their transcriptional start-sites were determined. The upstream sequence of these 37 start-sites, and the sequences of seven previously identified promoters were compared. On the basis of sequence conservation and mutational analysis, a consensus sequence CTTGACN16-23TATNNT was obtained. In this consensus sequence, nine on of twelve bases are identical to the canonical Escherichia coli sigma70 promoter, however the R.etli promoters only contain 6.4 conserved bases on average. We show that the R.etli sigma factor SigA recognizes all R.etli promoters studied in this work, and that E.coli RpoD is incapable of recognizing them. The comparison of the predicted structure of SigA with the known structure of RpoD indicated that regions 2.4 and 4.2, responsible for promoter recognition, are different only by a single amino acid, whereas the region 1 of SigA contains 72 extra residues, suggesting that the differences contained in this region could be related to the lax promoter recognition of SigA.

Indexed as

Promoter Regions, GeneticBacteriaBacterial ProteinsBase SequenceBinding SitesConsensus SequenceDNA, BacterialDNA-Directed RNA PolymerasesMolecular Sequence DataMutagenesisRhizobium etliSequence AlignmentSigma FactorThermodynamicsTranscriptional ActivationTranscription Initiation SiteBacterial ProteinsDNA, BacterialDNA-Directed RNA PolymerasesRNA polymerase sigma 70Sigma Factor

Identifiers

PMID16528104
PMCPMC1401509

What OpenQuestion holds

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Read underepoch 390

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.