Evidence map›Paper›PMID 32868827›Full record

ArticleScientific reports2020

Optimization of subsampling, decontamination, and DNA extraction of difficult peat and silt permafrost samples.

Alireza Saidi-Mehrabad, Patrick Neuberger, Maria Cavaco, Duane Froese, Brian Lanoil

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Alireza Saidi-MehrabadDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Patrick NeubergerDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Maria CavacoDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Duane FroeseDepartment of Earth and Atmospheric Sciences, Edmonton, AB, T6G 2E3, Canada.
Brian LanoilDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada. brian.lanoil@ualberta.ca.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to act as a methodological guide for contamination monitoring, decontamination, and DNA extraction for peaty and silty permafrost samples with low biomass or difficult to extract DNA. We applied a biological tracer, either only in the field or both in the field and in the lab, via either spraying or painting. Spraying in the field followed by painting in the lab resulted in a uniform layer of the tracer on the core sections. A combination of bleaching, washing, and scraping resulted in complete removal of the tracer leaving sufficient material for DNA extraction, while other widely used decontamination methods did not remove all detectable tracer. In addition, of four widely used commercially available DNA extraction kits, only a modified ZymoBIOMICS DNA Microprep kit was able to acquire PCR amplifiable DNA. Permafrost chemical parameters, age, and soil texture did not have an effect on decontamination efficacy; however, the permafrost type did influence DNA extraction. Based on these findings, we developed recommendations for permafrost researchers to acquire contaminant-free DNA from permafrost with low biomass.

Indexed as

BiomassDecontaminationDNAGeologic SedimentsPermafrostPolymerase Chain ReactionSampling StudiesSoilYukon TerritoryDNASoil

Identifiers

PMID32868827
PMCPMC7459103
OpenAlexW3082570403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.