Evidence map›Paper›PMID 31878883›Full record

ArticleBMC genomics2019

Transcriptome analysis of the fungal pathogen Rosellinia necatrix during infection of a susceptible avocado rootstock identifies potential mechanisms of pathogenesis.

A Zumaquero, S Kanematsu, H Nakayashiki, A Matas, E Martínez-Ferri, A Barceló-Muñóz, F Pliego-Alfaro, C López-Herrera, F M Cazorla, C Pliego

Abstract read
In one paragraph

Article in BMC genomics, 2019. 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. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Transcriptome analysis of sesame-Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  10. Advances in Understanding Defense Mechanisms inFrontiers in plant science · 2021
    Review
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

10 authors.

A ZumaqueroDepartment of Genomics and Biotechnology, IFAPA, Fruticultura Subtropical y Mediterránea, Unidad Asociada de I + D + i al CSIC, Cortijo de la Cruz s/n, 29140, Málaga, Spain.
S KanematsuDivision of Apple Research, Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 92-24 Nabeyashiki, Shimokuriyagawa, Morioka, Iwate, 020-0123, Japan.
H NakayashikiDivision of Apple Research, Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization (NARO), 92-24 Nabeyashiki, Shimokuriyagawa, Morioka, Iwate, 020-0123, Japan.
A MatasDepartment of Botany and Plant Physiology, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Unidad Asociada IHSM-IFAPA, University of Málaga, 29071, Málaga, Spain.
E Martínez-FerriDepartment of Crop Ecophysiology, IFAPA, Fruticultura Subtropical y Mediterránea, Unidad Asociada de I + D + i al CSIC, Cortijo de la Cruz s/n, 29140, Málaga, Spain.
A Barceló-MuñózDepartment of Genomics and Biotechnology, IFAPA, Fruticultura Subtropical y Mediterránea, Unidad Asociada de I + D + i al CSIC, Cortijo de la Cruz s/n, 29140, Málaga, Spain.
F Pliego-AlfaroDepartment of Botany and Plant Physiology, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Unidad Asociada IHSM-IFAPA, University of Málaga, 29071, Málaga, Spain.
C López-HerreraInstituto de Agricultura Sostenible, CSIC, Apdo. 4084, 144080, Córdoba, Spain.
F M CazorlaDepartment of Microbiology, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), University of Málaga, 29071, Málaga, Spain.
C PliegoDepartment of Genomics and Biotechnology, IFAPA, Fruticultura Subtropical y Mediterránea, Unidad Asociada de I + D + i al CSIC, Cortijo de la Cruz s/n, 29140, Málaga, Spain. mclara.pliego@juntadeandalucia.es.

Funding

Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria RTA2017-00040-00-00
6 · The paper itself

Abstract

backgroundWhite root rot disease caused by Rosellinia necatrix is one of the most important threats affecting avocado productivity in tropical and subtropical climates. Control of this disease is complex and nowadays, lies in the use of physical and chemical methods, although none have proven to be fully effective. Detailed understanding of the molecular mechanisms underlying white root rot disease has the potential of aiding future developments in disease resistance and management. In this regard, this study used RNA-Seq technology to compare the transcriptomic profiles of R. necatrix during infection of susceptible avocado 'Dusa' roots with that obtained from the fungus cultured in rich medium.

resultsThe transcriptomes from three biological replicates of R. necatrix colonizing avocado roots (RGA) and R. necatrix growing on potato dextrose agar media (RGPDA) were analyzed using Illumina sequencing. A total of 12,104 transcripts were obtained, among which 1937 were differentially expressed genes (DEG), 137 exclusively expressed in RGA and 160 in RGPDA. During the root infection process, genes involved in the production of fungal toxins, detoxification and transport of toxic compounds, hormone biosynthesis, gene silencing and plant cell wall degradation were overexpressed. Interestingly, 24 out of the 137 contigs expressed only during R. necatrix growth on avocado roots, were predicted as candidate effector proteins (CEP) with a probability above 60%. The PHI (Pathogen Host Interaction) database revealed that three of the R. necatrix CEP showed homology with previously annotated effectors, already proven experimentally via pathogen-host interaction.

conclusionsThe analysis of the full-length transcriptome of R. necatrix during the infection process is suggesting that the success of this fungus to infect roots of diverse crops might be attributed to the production of different compounds which, singly or in combination, interfere with defense or signaling mechanisms shared among distinct plant families. The transcriptome analysis of R. necatrix during the infection process provides useful information and facilitates further research to a more in -depth understanding of the biology and virulence of this emergent pathogen. In turn, this will make possible to evolve novel strategies for white root rot management in avocado.

Indexed as

Gene Expression ProfilingGenetic Predisposition to DiseaseMolecular Sequence AnnotationPerseaPlant DiseasesPlant RootsRNA-SeqXylarialesAscomyceteEffectorsPersea americanaVirulenceWhite root rot

Identifiers

PMID31878883
PMCPMC6933693

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.