Evidence map›Paper›PMID 38358421›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2024

Genomic insights of Fictibacillus terranigra sp. nov., a versatile metabolic bacterium from Amazonian Dark Earths.

Thierry Alexandre Pellegrinetti, Izadora de Cássia Mesquita da Cunha, Miriam Gonçalves de Chaves, Anderson Santos de Freitas, Gabriel Schimmelpfeng Passos, Ana Vitória Reina da Silva, Simone Raposo Cotta, Siu Mui Tsai, Lucas William Mendes

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Thierry Alexandre PellegrinettiCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Izadora de Cássia Mesquita da CunhaCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Miriam Gonçalves de ChavesCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Anderson Santos de FreitasCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Gabriel Schimmelpfeng PassosCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Ana Vitória Reina da SilvaCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Simone Raposo CottaCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Siu Mui TsaiCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Lucas William MendesCell and Molecular Biology Laboratory, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba, Brazil. lwmendes@cena.usp.br.ORCID http://orcid.org/0000-0003-0980-7006

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307670/2021-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 408191/2018-0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.185941/2018-00Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/03217-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/00251-9Pro-Reitoria de Pesquisa, Universidade de São Paulo 22.1.08498.01.0
6 · The paper itself

Abstract

The Amazon rainforest, a hotspot for biodiversity, is a crucial research area for scientists seeking novel microorganisms with ecological and biotechnological significance. A key region within the Amazon rainforest is the Amazonian Dark Earths (ADE), noted for supporting diverse plant and microbial communities, and its potential as a blueprint for sustainable agriculture. This study delineates the isolation, morphological traits, carbon source utilization, and genomic features of Fictibacillus terranigra CENA-BCM004, a candidate novel species of the Fictibacillus genus isolated from ADE. The genome of Fictibacillus terranigra was sequenced, resulting in 16 assembled contigs, a total length of 4,967,627 bp, and a GC content of 43.65%. Genome annotation uncovered 3315 predicted genes, encompassing a wide range of genes linked to various metabolic pathways. Phylogenetic analysis indicated that CENA-BCM004 is a putative new species, closely affiliated with other unidentified Fictibacillus species and Bacillus sp. WQ 8-8. Moreover, this strain showcased a multifaceted metabolic profile, revealing its potential for diverse biotechnological applications. It exhibited capabilities to antagonize pathogens, metabolize multiple sugars, mineralize organic matter compounds, and solubilize several minerals. These insights substantially augment our comprehension of microbial diversity in ADE and underscore the potential of Fictibacillus terranigra as a precious resource for biotechnological endeavors. The genomic data generated from this study will serve as a foundational resource for subsequent research and exploration of the biotechnological capabilities of this newly identified species.

Indexed as

Base CompositionGenome, BacterialPhylogenyBacillaceaeBrazilDNA, BacterialGenomicsRainforestRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SGenomicsMicrobial diversityMicrobial isolationRhizosphereTerra Preta

Identifiers

PMID38358421
PMCPMC11153436

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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.