Evidence map›Paper›PMID 38290434›Full record

ArticleGenetics2024

Distinct genomic contexts predict gene presence-absence variation in different pathotypes of Magnaporthe oryzae.

Pierre M Joubert, Ksenia V Krasileva

Open access · hybridAbstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Transcriptomic profiling of wheat (Frontiers in plant science · 2026
    Article
  3. Comparative genomics of Eastern-IndianFrontiers in fungal biology · 2026
    Article
  4. A binary-distributed effector modulates fungal host preference for drosophilids by targeting a lineage-specific immune factor.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Pierre M JoubertDepartment of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA.
Ksenia V KrasilevaDepartment of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-1679-0700
University of California, Berkeley · US

Funding

Cross-kingdom health: evolution of innate immune receptors and their targetsDP2AT011967 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI KRASILEVA, KSENIA V · 2021 to 2024
$2.2M
NCCIH NIH HHS DP2 AT011967NIH HHS
6 · The paper itself

Abstract

Fungi use the accessory gene content of their pangenomes to adapt to their environments. While gene presence-absence variation contributes to shaping accessory gene reservoirs, the genomic contexts that shape these events remain unclear. Since pangenome studies are typically species-wide and do not analyze different populations separately, it is yet to be uncovered whether presence-absence variation patterns and mechanisms are consistent across populations. Fungal plant pathogens are useful models for studying presence-absence variation because they rely on it to adapt to their hosts, and members of a species often infect distinct hosts. We analyzed gene presence-absence variation in the blast fungus, Magnaporthe oryzae (syn. Pyricularia oryzae), and found that presence-absence variation genes involved in host-pathogen and microbe-microbe interactions may drive the adaptation of the fungus to its environment. We then analyzed genomic and epigenomic features of presence-absence variation and observed that proximity to transposable elements, gene GC content, gene length, expression level in the host, and histone H3K27me3 marks were different between presence-absence variation genes and conserved genes. We used these features to construct a model that was able to predict whether a gene is likely to experience presence-absence variation with high precision (86.06%) and recall (92.88%) in M. oryzae. Finally, we found that presence-absence variation genes in the rice and wheat pathotypes of M. oryzae differed in their number and their genomic context. Our results suggest that genomic and epigenomic features of gene presence-absence variation can be used to better understand and predict fungal pangenome evolution. We also show that substantial intra-species variation can exist in these features.

Indexed as

AscomycotaMagnaportheOryzaGenomicsPlant Diseasescomparative genomicsevolutionfungimachine learningMagnaporthe oryzaeplant pathogenpopulation geneticspresence–absence variationPyricularia oryzaestructural variation

Identifiers

PMID38290434
PMCPMC10990425
OpenAlexW4391338550

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.