Evidence map›Paper›PMID 31728757›Full record

ArticleWorld journal of microbiology & biotechnology2019

Characterization and comprehensive analysis of the ecological interaction networks of bacterial communities in Paullinia cupana var. sorbilis by 16S rRNA gene metabarcoding.

Rhavena Graziela Liotti, Rafael Correia da Silva, Daniel Guariz Pinheiro, Joaquim Manoel da Silva, Gilvan Ferreira da Silva, Elisabeth Aparecida Furtado de Mendonça, Marcos Antônio Soares

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 1 country.

Rhavena Graziela LiottiDepartamento de Botânica e Ecologia, Instituto de Biociências, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil.
Rafael Correia da SilvaDepartamento de Tecnologia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), Jaboticabal, SP, Brazil.
Daniel Guariz PinheiroDepartamento de Tecnologia, Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista (UNESP), Jaboticabal, SP, Brazil.
Joaquim Manoel da SilvaDepartamento de Biologia, Universidade Estadual de Mato Grosso, Cáceres, MT, Brazil.
Gilvan Ferreira da SilvaEmbrapa Amazônia Ocidental, Manaus, AM, Brazil.
Elisabeth Aparecida Furtado de MendonçaFaculdade de Agronomia e Zootecnica, Instituto de Biociências, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil.
Marcos Antônio SoaresDepartamento de Botânica e Ecologia, Instituto de Biociências, Universidade Federal de Mato Grosso, Cuiabá, MT, Brazil. drmasoares@gmail.com.ORCID http://orcid.org/0000-0002-8938-3188
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Mato Grosso · BRBrazilian Agricultural Research Corporation · BRInstituto Federal de Educação, Ciência e Tecnologia de Mato Grosso · BRUniversidade do Estado de Mato Grosso · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 3348/2013Fundação de AmparoO à Pesquisa do Estado de Mato Grosso 0583867/2016
6 · The paper itself

Abstract

Endophytes improve the host performance in areas of high plant endemicity. Paullinia cupana is an Amazonia plant species of economic and social importance due to the high caffeine concentration in its seeds. An interesting strategy to identify endophytic microorganisms with potential biotechnological application is to understand the factors that influence the endophytic community to rationalize the host management programs. We used the next-generation sequencing for bacterial 16S rRNA gene to examine how the P. cupana organ, genotype, and geographic location influenced its endophytic bacterial community. We obtained 1520 operational taxonomic units (OTUs) distributed in 19 phyla, 32 classes, 79 orders, 114 families and 174 genera. The P. cupana roots and leaves were specifically colonized by the bacterial genera Acidothermus and Porphyromonas, respectively, with high relative frequency. The plant organ type influenced the endophytic community's richness, diversity, OTUs composition, relative abundance of phyla and genera, and genera interaction network. However, the host plant genotype and geographic location influenced the composition and interaction among genera in the network analysis. Prevotella is a super-generalist genus in the interaction network of endophytic bacteria of P. cupana. This study revealed endophytic bacterial groups of importance to P. cupana and stressed that the host plant organ modulates the structure and interactions within this community. Our results indicated that the microbial community adapted to colonize P. cupana by adjusting to its composition and interaction network. The isolation of abundant and super-generalist bacterial genera shall help to examine their functionality to the composition and fitness of the endophytic community of P. cupana.

Indexed as

EcologyBacteriaBrazilDNA, BacterialEndophytesGenotypeHigh-Throughput Nucleotide SequencingMicrobial InteractionsMicrobiotaPaulliniaPhylogenyPlant LeavesPlant RootsRNA, Ribosomal, 16SSeedsDNA, BacterialRNA, Ribosomal, 16SChthoniobacterEnhydrobacterJohnsonellaMicropepsaceaeSuper-generalist

Identifiers

PMID31728757
OpenAlexW2983466564

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.