Evidence map›Paper›PMID 41313025›Full record

ArticleMicrobiology spectrum2026

An effective DNA extraction protocol optimized for tropical swamp peat samples.

Júlia Brandão Gontijo, Gabriel Valverde Firmino, Jéssica Adriele Mandro, André Luiz Miranda Reis, Wanderlei Bieluczyk, Júlio César Feitosa Fernandes, Plínio Barbosa de Camargo, Jorge Luiz Mazza Rodrigues, Siu Mui Tsai, Pablo Vidal-Torrado

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In one paragraph

Article in Microbiology spectrum, 2026. 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
–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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Júlia Brandão Gontijo *University of São Paulo, Center for Nuclear Energy in Agriculture, Cell and Molecular Biology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0003-1942-7242
Gabriel Valverde Firmino *University of São Paulo, Center for Nuclear Energy in Agriculture, Cell and Molecular Biology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0001-6041-4852
Jéssica Adriele MandroUniversity of São Paulo, Center for Nuclear Energy in Agriculture, Cell and Molecular Biology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0003-3454-0702
André Luiz Miranda ReisDepartment of Soil Science, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Piracicaba, São Paulo, Brazil.ORCID 0000-0003-3756-489X
Wanderlei BieluczykUniversity of São Paulo, Center for Nuclear Energy in Agriculture, Cell and Molecular Biology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0003-0438-4673
Júlio César Feitosa FernandesDepartment of Soil Science, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Piracicaba, São Paulo, Brazil.
Plínio Barbosa de CamargoUniversity of São Paulo, Center for Nuclear Energy in Agriculture, Isotopic Ecology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0002-0696-3778
Jorge Luiz Mazza RodriguesDepartment of Land Air & Water Resources, University of California - Davis, Davis, California, USA.ORCID 0000-0002-6446-6462
Siu Mui TsaiUniversity of São Paulo, Center for Nuclear Energy in Agriculture, Cell and Molecular Biology Laboratory, Piracicaba, São Paulo, Brazil.ORCID 0000-0002-3733-6312
Pablo Vidal-TorradoDepartment of Soil Science, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Piracicaba, São Paulo, Brazil.ORCID 0000-0001-9228-9910

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/14974-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/26235-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/02576-9Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/18333-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2024/14874-7
6 · The paper itself

Abstract

Peatlands are waterlogged ecosystems that store large amounts of carbon, harbor highly specialized endemic biodiversity, and play a crucial role in climate regulation. However, the microbial communities of tropical peatlands, particularly in the Atlantic Forest, remain largely unexplored. Molecular tools are essential for characterizing these communities, yet conventional DNA extraction kits are often ineffective for peat soils, likely due to their high organic matter content, low pH, and the presence of PCR inhibitors. This study aimed to optimize a conventional soil DNA extraction protocol to enhance DNA yield and purity from tropical peat soils, ensuring more reliable molecular analyses. The optimized protocol resulted in a four-times increase in DNA concentration compared to the conventional protocol and improved DNA purity. Agarose gel electrophoresis confirmed higher DNA integrity and also revealed the presence of RNA in samples subjected to the optimized protocol, indicating its potential for co-extraction of DNA and RNA. Quantitative PCR (qPCR) analysis showed significantly higher abundances of bacterial and archaeal 16S rRNA genes, as well as the

Indexed as

ArchaeaBacteriaDNA, ArchaealDNA, BacterialSoilSoil MicrobiologyWetlandsRNA, Ribosomal, 16STropical ClimateDNA, ArchaealDNA, BacterialRNA, Ribosomal, 16SSoil16S rRNADNA extractionmcrAmicrobial communitiestropical peatlands

Identifiers

PMID41313025
PMCPMC12772273

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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.