Evidence map›Paper›PMID 16389465›Full record

ArticleMicrobial ecology2006

Natural populations of chickpea rhizobia evaluated by antibiotic resistance profiles and molecular methods.

Ana Alexandre, Marta Laranjo, Solange Oliveira

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Selection of competitive and effective rhizobial strain for enhanced chickpea production under Indo-Gangetic plains of India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

3 authors.

Ana AlexandreDepartamento de Biologia, Universidade de Evora, Apartado 94, 7002-554 Evora, Portugal.
Marta Laranjo
Solange Oliveira

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to investigate the hypothesis that intrinsic antibiotic resistance (IAR) profiles of chickpea rhizobia are correlated with the isolates site of origin, and to compare the discriminating power of IAR profiles with molecular approaches in rhizobial strain identification and differentiation. Rhizobial diversity from five Portuguese soils was assessed by IAR profiles and molecular methods [16S rDNA restriction fragment length polymorphism (RFLP) analysis, direct amplified polymorphic DNA (DAPD) fingerprinting, and SDS-PAGE analysis of protein profiles]. For each analysis, a dendrogram was generated using the software BioNumerics. All three molecular methods generated analogous clustering of the isolates, supporting previous results on 16S rDNA sequence-based phylogeny. Clusters obtained with IAR profile are similar to the species groups generated with the molecular methods used. IAR groups do not correlate significantly with the geographic origin of the isolates. These results may indicate a chromosomal location of antibiotic resistance genes, and suggest that IAR is species related. DAPD and IAR profiles proved to be the most discriminating approaches in strain differentiation and can be used as fast methods to screen diversity in new isolates.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial ProteinsBiodiversityCicerCluster AnalysisDNA FingerprintingDNA, RibosomalDrug Resistance, BacterialElectrophoresis, Polyacrylamide GelGenotypePhenotypePhylogenyPlant RootsPolymorphism, Restriction Fragment LengthPortugalAnti-Bacterial AgentsBacterial ProteinsDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

What OpenQuestion holds

Textmetadata
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.