Evidence map›Paper›PMID 31417506›Full record

ArticleFrontiers in microbiology2019

Acidobacteria Subgroups and Their Metabolic Potential for Carbon Degradation in Sugarcane Soil Amended With Vinasse and Nitrogen Fertilizers.

Miriam Gonçalves de Chaves, Genivaldo Gueiros Z Silva, Raffaella Rossetto, Robert Alan Edwards, Siu Mui Tsai, Acacio Aparecido Navarrete

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 105 citations in OpenAlex.

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  19. Long-term continuous mono-cropping ofFrontiers in microbiology · 2022
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  20. Editorial:Frontiers in microbiology · 2022
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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

6 authors at 4 institutions in 2 countries.

Miriam Gonçalves de ChavesCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, Brazil.
Genivaldo Gueiros Z SilvaComputational Science Research Center, San Diego State University, San Diego, CA, United States.
Raffaella RossettoSão Paulo's Agency for Agribusiness Technology APTA-SAA, Piracicaba, Brazil.
Robert Alan EdwardsComputational Science Research Center, San Diego State University, San Diego, CA, United States.
Siu Mui TsaiCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, Brazil.
Acacio Aparecido NavarreteCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, Brazil.
San Diego State University · USUniversidade de São Paulo · BRAgência Paulista de Tecnologia dos Agronegócios · BRUniversidade Federal de São Carlos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acidobacteria is a predominant bacterial phylum in tropical agricultural soils, including sugarcane cultivated soils. The increased need for fertilizers due to the expansion of sugarcane production is a threat to the ability of the soil to maintain its potential for self-regulation in the long term, in witch carbon degradation has essential role. In this study, a culture-independent approach based on high-throughput DNA sequencing and microarray technology was used to perform taxonomic and functional profiling of the Acidobacteria community in a tropical soil under sugarcane (

Indexed as

carbon cyclingDNA microarraymicrobe-mediated process in soilmineral and organic fertilizerssoil metagenome

Identifiers

PMID31417506
PMCPMC6682628
OpenAlexW2960498748

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.