Evidence map›Paper›PMID 29594576›Full record

ArticleWorld journal of microbiology & biotechnology2018

Endophytic bacterial microbiome associated with leaves of genetically modified (AtAREB1) and conventional (BR 16) soybean plants.

Katiúscia Kelli Montanari-Coelho, Alessandra Tenório Costa, Julio Cesar Polonio, João Lúcio Azevedo, Silvana Regina Rockenbach Marin, Renata Fuganti-Pagliarini, Yasunari Fujita, Kazuko Yamaguchi-Shinozaki, Kazuo Nakashima, João Alencar Pamphile and 1 more

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Katiúscia Kelli Montanari-CoelhoDepartamento de Biotecnologia, Genética e Biologia Celular (DBC), Universidade Estadual de Maringá, Maringá, Paraná, Brazil.
Alessandra Tenório CostaDepartamento de Biotecnologia, Genética e Biologia Celular (DBC), Universidade Estadual de Maringá, Maringá, Paraná, Brazil.
Julio Cesar PolonioDepartamento de Biotecnologia, Genética e Biologia Celular (DBC), Universidade Estadual de Maringá, Maringá, Paraná, Brazil.
João Lúcio AzevedoEscola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, São Paulo, Brazil.
Silvana Regina Rockenbach MarinEmpresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil.
Renata Fuganti-PagliariniEmpresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil.
Yasunari FujitaJapan International Research Center for Agricultural Sciences, Tsukuba, Japan.
Kazuko Yamaguchi-ShinozakiJapan International Research Center for Agricultural Sciences, Tsukuba, Japan.
Kazuo NakashimaLaboratory of Plant Molecular Physiology, Tokyo University, Tokyo, Japan.
João Alencar PamphileDepartamento de Biotecnologia, Genética e Biologia Celular (DBC), Universidade Estadual de Maringá, Maringá, Paraná, Brazil. prof.pamphile@gmail.com.ORCID http://orcid.org/0000-0002-6139-5937
Alexandre Lima NepomucenoEmpresa Brasileira de Pesquisa Agropecuária, Centro Nacional de Pesquisa de Soja (EMBRAPA/Soja), Londrina, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 311534/2014-7Conselho Nacional de Desenvolvimento Científico e Tecnológico 447265/2014-8
6 · The paper itself

Abstract

Plant leaves (phyllosphere) have a great potential for colonization and microbial growth, consisting of a dynamic environment in which several factors can interfere with the microbial population structure. The use of genetically modified (GM) plants has introduced several traits in agriculture, such as the improvement of plant drought tolerance, as observed in the AtAREB1 transcription factor overexpression in soybean (Glycine max L. Merrill). The present study aimed at investigating the taxonomic and functional profile of the leaf microbial community of bacteria found in GM (drought-tolerant event 1Ea2939) and conventional (BR 16) soybean plants. Bacterial DNA was extracted from leaf samples collected from each genotype and used for microbial diversity and richness analysis through the MiSeq Illumina platform. Functional prediction was performed using the PICRUSt tool and the STAMP v 2.1.3 software. The obtainment of the GM event 1Ea2939 showed minimum effects on the microbial community and in the potential for chemical-genetic communication, i.e. in the potential for symbiotic and/or mutualistic interaction between plants and their natural microbiota.

Indexed as

MicrobiotaArabidopsisArabidopsis ProteinsBacteriaBasic-Leucine Zipper Transcription FactorsBiodiversityDNA, BacterialDroughtsEndophytesFabaceaeGlycine maxPhylogenyPlant LeavesPlants, Genetically ModifiedRNA, Ribosomal, 16SSoil MicrobiologyArabidopsis ProteinsAt1g45249 protein, ArabidopsisBasic-Leucine Zipper Transcription FactorsDNA, BacterialRNA, Ribosomal, 16SDrought toleranceGlycine max L. MerrillMicrobiomeMiSeq IlluminaPhyllosphere

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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.