Evidence map›Paper›PMID 39738093›Full record

ArticleScientific reports2024

Variation of gene ratios in mock communities constructed with purified 16S rRNA during processing.

Georges Mikhael Nammoura Neto, René Peter Schneider

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

0 citing papers in PubMed.

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

2 authors.

Georges Mikhael Nammoura NetoDepartment of Microbiology, Institute of Biomedical Sciences, University of São Paulo, Av. Professor Lineu Prestes, 1374, São Paulo, 05508-900, Brazil.
René Peter SchneiderDepartment of Chemical Engineering, Polytechnic School, University of São Paulo, Av. Prof. Luciano Gualberto, Travessa 3, n. 380., São Paulo, SP, CEP 05508-900, Brazil. schneiderpqi@usp.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 1098637 and 1406318Financiadora de Estudos e Projetos FINEP 01.11.0084.00Fundação de Amparo à Pesquisa do Estado de São Paulo FAPESP 2013/50435-3
6 · The paper itself

Abstract

16S ribosomal nucleic acid (16S rRNA) analysis allows to specifically target the metabolically active members of microbial communities. The stability of the ratios between target genes in the workflow, which is essential for the bioprocess-relevance of the data derived from this analysis, was investigated using synthetic mock communities constructed by mixing purified 16S rRNA from Bacillus subtilis (Bs), Staphylococcus aureus (Sa), Pseudomonas aeruginosa (Pa), Klebsiella pneumoniae (Kp) and Burkholderia cepacia (Bc) in different proportions. The RT reaction yielded one copy of cDNA per rRNA molecule for Pa, Bc and Sa but only 2/3 of the expected cDNA from 16S rRNAs of Bs and Kp. The combination of Taq DNA Platinum polymerase with subcycling PCR (scPCR) produced uniform yields of approximately 70% for second strand PCR synthesis from all target cDNAs. The proportion between templates in multicycle PCR was best preserved after 10 cycle scPCR followed by cloning. With MiSeq sequencing, correct proportions for about two thirds of templates were recovered after 10 cycle scPCR with Taq Platinum. 30 cycles standard PCR (stdPCR) or scPCR proved particularly harmful to proportion data and should be avoided.

Indexed as

RNA, Ribosomal, 16SBacteriaDNA, BacterialKlebsiella pneumoniaePolymerase Chain ReactionDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID39738093
PMCPMC11686170

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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.