Evidence map›Paper›PMID 21838888›Full record

ArticleBMC genomics2011

Genomic insights into the versatility of the plant growth-promoting bacterium Azospirillum amazonense.

Fernando H Sant'Anna, Luiz G P Almeida, Ricardo Cecagno, Luciano A Reolon, Franciele M Siqueira, Maicon R S Machado, Ana T R Vasconcelos, Irene S Schrank

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.7field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Fernando H Sant'AnnaCentro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Av, Bento Gonçalves, 9500 Campus do Vale, Porto Alegre, RS, Brazil.
Luiz G P Almeida
Ricardo Cecagno
Luciano A Reolon
Franciele M Siqueira
Maicon R S Machado
Ana T R Vasconcelos
Irene S Schrank
Universidade Federal do Rio Grande do Sul · BRLaboratório Nacional de Computação Científica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe species Azospirillum amazonense belongs to a well-known genus of plant growth-promoting bacteria. This bacterium is found in association with several crops of economic importance; however, there is a lack of information on its physiology. In this work, we present a comprehensive analysis of the genomic features of this species.

resultsGenes of A. amazonense related to nitrogen/carbon metabolism, energy production, phytohormone production, transport, quorum sensing, antibiotic resistance, chemotaxis/motility and bacteriophytochrome biosynthesis were identified. Noteworthy genes were the nitrogen fixation genes and the nitrilase gene, which could be directly implicated in plant growth promotion, and the carbon fixation genes, which had previously been poorly investigated in this genus. One important finding was that some A. amazonense genes, like the nitrogenase genes and RubisCO genes, were closer phylogenetically to Rhizobiales members than to species of its own order.

conclusionThe species A. amazonense presents a versatile repertoire of genes crucial for its plant-associated lifestyle.

Indexed as

GenomicsPlant DevelopmentAnti-Bacterial AgentsAzospirillumBacteriocinsBiofilmsCarbonDatabases, GeneticDrug Resistance, FungalEnergy MetabolismGenome, BacterialNitrogenNitrogen FixationPhytochromePlant Growth RegulatorsPlantsAnti-Bacterial AgentsBacteriocinsCarbonNitrogenPhytochromePlant Growth Regulators

Identifiers

PMID21838888
PMCPMC3169532
OpenAlexW2044391420

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.