Evidence map›Paper›PMID 36307494›Full record

ArticleScientific reports2022

Bulked segregant transcriptome analysis in pea identifies key expression markers for resistance to Peyronellaea pinodes.

Sara Fondevilla, Nicolas Krezdorn, Diego Rubiales, Björn Rotter, Peter Winter

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Fine mapping and identification of a Fusarium wilt resistance gene FwS1 in pea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  3. Antifungal Properties of Bio-AgNPs againstInternational journal of molecular sciences · 2024
    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.

Sara FondevillaInstitute for Sustainable Agriculture, CSIC, 14004, Córdoba, Spain. sfondevilla@ias.csic.es.
Nicolas KrezdornGenXPro GmbH, 60438, Frankfurt Am Main, Germany.
Diego RubialesInstitute for Sustainable Agriculture, CSIC, 14004, Córdoba, Spain.
Björn RotterGenXPro GmbH, 60438, Frankfurt Am Main, Germany.
Peter WinterGenXPro GmbH, 60438, Frankfurt Am Main, Germany.

Funding

European Research Council MCIN/AEI/10.13039./5011000110033
6 · The paper itself

Abstract

Peyronellaea pinodes is a devastating pathogen of pea crop. Quantitative trait loci (QTL) associated with resistance have been identified, as well as genes differentially expressed between resistant and susceptible pea lines. The key question is which of these many genes located into these QTLs, or differentially expressed, are the key genes that distinguish resistant from susceptible plants and could be used as markers. To identify these key genes, in the present study we applied MACE (Massive Analysis of cDNA Ends) -Seq to a whole Recombinant Inbred Line population segregating for resistance to this disease and their parental lines and identified those genes which expression was more correlated with the level of resistance. We also compared gene expression profiles between the most resistant and the most susceptible families of the RIL population. A total of 6780 transcripts were differentially expressed between the parental lines after inoculation. Of them, 803 showed the same expression pattern in the bulks formed by the most resistant and most susceptible RIL families. These genes, showing a consistent expression pattern, could be used as expression markers to distinguish resistant from susceptible plants. The analysis of these genes also discovered the crucial mechanisms acting against P. pinodes.

Indexed as

AscomycotaPisum sativumDisease ResistanceGene Expression ProfilingPlant DiseasesTranscriptome

Identifiers

PMID36307494
PMCPMC9616913

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Registered trials

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