Evidence map›Paper›PMID 38483627›Full record

ArticleArchives of microbiology2024

Caatinga, Amazon and Atlantic Forest as natural sources for microbial lignocellulolytic enzymes.

Vitor Baptista Ferrari, Lidiane Maria Dos Santos Lima, Kelly de Matos Marques, Fernanda Camila Gutierres, Guilherme Gonçalves Guerini, Marghuel Aparecida Vieira Silveira, Guilherme Mascalchi de Figueiredo, Vitor Gonçalves Vital, Mariana Rocha Roswell, Itamar Soares de Melo and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2024. 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
1.2field-weighted citation impact, top 18% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

12 authors at 3 institutions in 1 country.

Vitor Baptista FerrariDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0001-9109-0192
Lidiane Maria Dos Santos LimaDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0002-0526-9338
Kelly de Matos MarquesDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0003-0726-7544
Fernanda Camila GutierresDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0003-0937-1433
Guilherme Gonçalves GueriniDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0001-5908-8391
Marghuel Aparecida Vieira SilveiraLaboratory of Biochemistry and Enzymology, Institute of Pharmacology and Molecular Biology, Department of Biophysics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-8701-6739
Guilherme Mascalchi de FigueiredoDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0003-0420-7001
Vitor Gonçalves VitalDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0002-6122-8055
Mariana Rocha RoswellDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0001-7999-4279
Itamar Soares de MeloLaboratory of Environmental Microbiology, Brazilian Agricultural Research Corporation, EMBRAPA Environment, Jaguariúna, SP, Brazil.ORCID http://orcid.org/0000-0003-2785-6725
Debora Noma OkamotoDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil.ORCID http://orcid.org/0000-0003-3894-1052
Suzan Pantaroto de VasconcellosDepartment of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, SP, Brazil. suzan.pantaroto@unifesp.br.ORCID http://orcid.org/0000-0002-1548-3995
Universidade Federal de São Paulo · BRBrazilian Agricultural Research Corporation · BRFundação de Apoio à Universidade Federal de São Paulo · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo , Brasil 2016/23685-7
6 · The paper itself

Abstract

Brazilian biomes are important sources for environmental microorganisms, including efficient metabolic machineries, like actinomycetes. These bacteria are known for their abilities to produce many bioactive compounds, including enzymes with multiple industrial applications. The present work aimed to evaluate lignocellulolytic abilities of actinomycetes isolated from soil and rhizosphere samples collected at Caatinga, Atlantic and Amazon Forest. Laccase (Lac), lignin peroxidase (LiP), manganese peroxidase (MnP) and cellulase were evaluated for their efficiency. These enzymes have an essential role in lignin decomposition, through oxidation of phenolic and non-phenolic compounds, as well as enzymatic hydrolysis of vegetal biomass. In this sense, a total of 173 actinomycetes were investigated. Eleven (11) of them were selected by their enzymatic performance. The actinomycete AC166 displayed some activity in all analysed scenarios in terms of Lac, MnP and LiP activity, while AC171 was selected as the most promising strain, showing the following activities: 29.7 U.L

Indexed as

LaccaseLigninBrazilForestsOxidation-ReductionLaccaseLigninActinomycetesCellulaseLaccaseLignin peroxidaseManganese peroxidase

Identifiers

PMID38483627
OpenAlexW4392800281

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.