Evidence map›Paper›PMID 30889193›Full record

ArticlePloS one2019

Discovering coherency of specific gene expression and optical reflectance properties of barley genotypes differing for resistance reactions against powdery mildew.

Matheus Thomas Kuska, Jan Behmann, Mahsa Namini, Erich-Christian Oerke, Ulrike Steiner, Anne-Katrin Mahlein

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Digital plant pathology: a foundation and guide to modern agriculture.Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG) · 2022
    Article
  3. Article
  4. 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 at 1 institution in 1 country.

Matheus Thomas KuskaInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.ORCID 0000-0002-3432-9504
Jan BehmannInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.
Mahsa NaminiInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.
Erich-Christian OerkeInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.
Ulrike SteinerInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.
Anne-Katrin MahleinInstitute for Crop Science and Resource Conservation (INRES) - Plant Diseases and Plant Protection, University of Bonn, Bonn, Germany.
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperspectral imaging has proved its potential for evaluating complex plant-pathogen interactions. However, a closer link of the spectral signatures and genotypic characteristics remains elusive. Here, we show relation between gene expression profiles and specific wavebands from reflectance during three barley-powdery mildew interactions. Significant synergistic effects between the hyperspectral signal and the corresponding gene activities has been shown using the linear discriminant analysis (LDA). Combining the data sets of hyperspectral signatures and gene expression profiles allowed a more precise differentiation of the three investigated barley-Bgh interactions independent from the time after inoculation. This shows significant synergistic effects between the hyperspectral signal and the corresponding gene activities. To analyze this coherency between spectral reflectance and seven different gene expression profiles, relevant wavelength bands and reflectance intensities for each gene were computed using the Relief algorithm. Instancing, xylanase activity was indicated by relevant wavelengths around 710 nm, which are characterized by leaf and cell structures. HvRuBisCO activity underlines relevant wavebands in the green and red range, elucidating the coherency of RuBisCO to the photosynthesis apparatus and in the NIR range due to the influence of RuBisCO on barley leaf cell development. These findings provide the first insights to links between gene expression and spectral reflectance that can be used for an efficient non-invasive phenotyping of plant resistance and enables new insights into plant-pathogen interactions.

Indexed as

TranscriptomeAlgorithmsAscomycotaDisease ResistanceGenotypeHordeumPhotosynthesisPlant DiseasesPlant LeavesTomography, Optical Coherence

Identifiers

PMID30889193
PMCPMC6424429
OpenAlexW2923512385

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.