Evidence map›Paper›PMID 41021079›Full record

ArticleWorld journal of microbiology & biotechnology2025

ITS metabarcoding of filamentous fungi in traditional biodegradation of Carapa Guianensis seeds from the Brazilian Amazon.

Mariana Barbieri, Luana Lessa R Santos, Ana C Bahia, Susana Frases

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Article in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mariana BarbieriLaboratório de Biofísica de Fungos, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, 21941-902, Brazil.
Luana Lessa R SantosLaboratório de Bioquímica de Insetos e Parasitos, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Ana C BahiaLaboratório de Bioquímica de Insetos e Parasitos, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Susana FrasesLaboratório de Biofísica de Fungos, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, 21941-902, Brazil. susanafrases@biof.ufrj.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico BPCoordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro CNE
6 · The paper itself

Abstract

The relationship between microbial communities and traditional processing techniques represents a crucial intersection of cultural heritage and biological diversity. To provide the first detailed molecular characterization of this process for andiroba (Carapa guianensis) seeds, this study employed ITS1 and ITS2 metabarcoding with two primary objectives: (1) to characterize and compare the fungal communities across three distinct management systems (agroforestry, consortium, and native forest) in the Brazilian Amazon, and (2) to identify core fungal taxa and their ecological interactions. Our analysis characterized a diverse mycobiome dominated by the phylum Ascomycota, with the generaArthrinium, Aspergillus, Penicillium, andTalaromyces being most prevalent. In our dataset, ITS1 recovered more ASVs (215) than ITS2 (117), and we observed the unexpected finding of lower fungal diversity in the agroforestry system compared to the consortium system. These findings bridge traditional ecological knowledge with modern biotechnology, validating an ancestral practice while uncovering a rich fungal consortium with significant potential for future industrial applications.

Indexed as

DNA Barcoding, TaxonomicFungiSeedsBiodegradation, EnvironmentalBiodiversityBrazilDNA, FungalDNA, Ribosomal SpacerMycobiomePhylogenyDNA, FungalDNA, Ribosomal SpacerAndirobaFungal diversityITS metabarcodingITS sequencingTraditional biotechnology

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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.