Evidence map›Paper›PMID 28745639›Full record

ArticleJournal of visualized experiments : JoVE2017

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples.

Lawrence G Oates, Harry W Read, Jessica L M Gutknecht, David S Duncan, Teri B Balser, Randall D Jackson

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Invasive plants and their root traits are linked to the homogenization of soil microbial communities across the United States.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Soil microbial restoration strategies for promoting climate-ready prairie ecosystems.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  6. Article
  7. Article
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

6 authors.

Lawrence G OatesDepartment of Agronomy and Great Lakes Bioenergy Research Center, University of Wisconsin - Madison; oates@wisc.edu.
Harry W ReadDepartment of Soil Science, University of Wisconsin - Madison.
Jessica L M GutknechtDepartment of Soil, Water, and Climate, University of Minnesota.
David S DuncanDepartment of Agronomy and Great Lakes Bioenergy Research Center, University of Wisconsin - Madison.
Teri B BalserFaculty of Science and Engineering, Curtin University.
Randall D JacksonDepartment of Agronomy and Great Lakes Bioenergy Research Center, University of Wisconsin - Madison.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities are important drivers and regulators of ecosystem processes. To understand how management of ecosystems may affect microbial communities, a relatively precise but effort-intensive technique to assay microbial community composition is phospholipid fatty acid (PLFA) analysis. PLFA was developed to analyze phospholipid biomarkers, which can be used as indicators of microbial biomass and the composition of broad functional groups of fungi and bacteria. It has commonly been used to compare soils under alternative plant communities, ecology, and management regimes. The PLFA method has been shown to be sensitive to detecting shifts in microbial community composition. An alternative method, fatty acid methyl ester extraction and analysis (MIDI-FA) was developed for rapid extraction of total lipids, without separation of the phospholipid fraction, from pure cultures as a microbial identification technique. This method is rapid but is less suited for soil samples because it lacks an initial step separating soil particles and begins instead with a saponification reaction that likely produces artifacts from the background organic matter in the soil. This article describes a method that increases throughput while balancing effort and accuracy for extraction of lipids from the cell membranes of microorganisms for use in characterizing both total lipids and the relative abundance of indicator lipids to determine soil microbial community structure in studies with many samples. The method combines the accuracy achieved through PLFA profiling by extracting and concentrating soil lipids as a first step, and a reduction in effort by saponifying the organic material extracted and processing with the MIDI-FA method as a second step.

Indexed as

Soil MicrobiologyFatty AcidsSoilFatty AcidsSoil

Identifiers

PMID28745639
PMCPMC5553326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.