Evidence map›Paper›PMID 28217138›Full record

ReviewFrontiers in plant science2017

Using Population and Comparative Genomics to Understand the Genetic Basis of Effector-Driven Fungal Pathogen Evolution.

Clémence Plissonneau, Juliana Benevenuto, Norfarhan Mohd-Assaad, Simone Fouché, Fanny E Hartmann, Daniel Croll

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
25.3field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
  2. CombiningPlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Pangenomics of flax fungal parasiteFrontiers in plant science · 2024
    Article
  13. Review
  14. Article
  15. Draft Genome and Biological Characteristics ofInternational journal of molecular sciences · 2023
    Article
  16. Draft genome sequencing ofFrontiers in microbiology · 2023
    Article
  17. Review
  18. Article
  19. International journal of molecular sciences · 2022
    Article
  20. 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 4 institutions in 3 countries.

Clémence PlissonneauPlant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland; UMR, BIOGER, INRA, AgroParisTech, Université Paris-SaclayThiverval-Grignon, France.
Juliana BenevenutoCollege of Agriculture "Luiz de Queiroz", University of São Paulo São Paulo, Brazil.
Norfarhan Mohd-AssaadPlant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland; School of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan MalaysiaSelangor, Malaysia.
Simone FouchéPlant Pathology, Institute of Integrative Biology, ETH Zurich Zurich, Switzerland.
Fanny E HartmannPlant Pathology, Institute of Integrative Biology, ETH Zurich Zurich, Switzerland.
Daniel CrollPlant Pathology, Institute of Integrative Biology, ETH ZurichZurich, Switzerland; Laboratory of Evolutionary Genetics, Institute of Biology, University of NeuchatelNeuchatel, Switzerland.
ETH Zurich · CHBiologie et Gestion des Risques en Agriculture · FRBoard of the Swiss Federal Institutes of Technology · CHNational University of Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemics caused by fungal plant pathogens pose a major threat to agro-ecosystems and impact global food security. High-throughput sequencing enabled major advances in understanding how pathogens cause disease on crops. Hundreds of fungal genomes are now available and analyzing these genomes highlighted the key role of effector genes in disease. Effectors are small secreted proteins that enhance infection by manipulating host metabolism. Fungal genomes carry 100s of putative effector genes, but the lack of homology among effector genes, even for closely related species, challenges evolutionary and functional analyses. Furthermore, effector genes are often found in rapidly evolving chromosome compartments which are difficult to assemble. We review how population and comparative genomics toolsets can be combined to address these challenges. We highlight studies that associated genome-scale polymorphisms with pathogen lifestyles and adaptation to different environments. We show how genome-wide association studies can be used to identify effectors and other pathogenicity-related genes underlying rapid adaptation. We also discuss how the compartmentalization of fungal genomes into core and accessory regions shapes the evolution of effector genes. We argue that an understanding of genome evolution provides important insight into the trajectory of host-pathogen co-evolution.

Indexed as

agricultural ecosystemsassociation mapping studiesevolutionfungigenomemolecularplant pathogenspopulation genomics

Identifiers

PMID28217138
PMCPMC5289978
OpenAlexW2585951544

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.