Evidence map›Paper›PMID 26441951›Full record

ArticleFrontiers in microbiology2015

Phenotype MicroArrays as a complementary tool to next generation sequencing for characterization of tree endophytes.

Kathrin Blumenstein, David Macaya-Sanz, Juan A Martín, Benedicte R Albrectsen, Johanna Witzell

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. How DoInternational journal of molecular sciences · 2020
    Article
  5. Article
  6. Identification of a Novel Small RNAFrontiers in microbiology · 2018
    Article
  7. Pedunculate Oaks (Frontiers in microbiology · 2018
    Article
  8. Article
  9. An Endohyphal Bacterium (Frontiers in microbiology · 2017
    Article
  10. 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

5 authors.

Kathrin BlumensteinSouthern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Alnarp Sweden.
David Macaya-SanzDepartment of Natural Systems and Resources, School of Forest Engineers, Technical University of Madrid Madrid, Spain.
Juan A MartínDepartment of Natural Systems and Resources, School of Forest Engineers, Technical University of Madrid Madrid, Spain.
Benedicte R AlbrectsenDepartment of Plant Physiology, Umeå Plant Science Centre, Umeå University Umeå, Sweden ; Department of Plant and Environmental Sciences, University of Copenhagen Copenhagen, Denmark.
Johanna WitzellSouthern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Alnarp Sweden ; School of Forest Sciences, Faculty of Science and Forestry, University of Eastern Finland, Joensuu Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing need to calibrate microbial community profiles obtained through next generation sequencing (NGS) with relevant taxonomic identities of the microbes, and to further associate these identities with phenotypic attributes. Phenotype MicroArray (PM) techniques provide a semi-high throughput assay for characterization and monitoring the microbial cellular phenotypes. Here, we present detailed descriptions of two different PM protocols used in our recent studies on fungal endophytes of forest trees, and highlight the benefits and limitations of this technique. We found that the PM approach enables effective screening of substrate utilization by endophytes. However, the technical limitations are multifaceted and the interpretation of the PM data challenging. For the best result, we recommend that the growth conditions for the fungi are carefully standardized. In addition, rigorous replication and control strategies should be employed whether using pre-configured, commercial microwell-plates or in-house designed PM plates for targeted substrate analyses. With these precautions, the PM technique is a valuable tool to characterize the metabolic capabilities of individual endophyte isolates, or successional endophyte communities identified by NGS, allowing a functional interpretation of the taxonomic data. Thus, PM approaches can provide valuable complementary information for NGS studies of fungal endophytes in forest trees.

Indexed as

Biolog PMfungal phenotypefungus–fungus interactionsnutrient utilizationphenolic compounds

Identifiers

PMID26441951
PMCPMC4585013

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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.