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

Autor:	Joubert PM; Department of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA.; Center for Computational Biology, University of California-Berkeley, Berkeley, CA 94720, USA., Krasileva KV; Department of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA 94720, USA.; Center for Computational Biology, University of California-Berkeley, Berkeley, CA 94720, USA.
Jazyk:	angličtina
Zdroj:	Genetics [Genetics] 2024 Apr 03; Vol. 226 (4).
DOI:	10.1093/genetics/iyae012
Abstrakt:	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. Competing Interests: Conflicts of interest The author(s) declare no conflicts of interest. (© The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America.)
Databáze:	MEDLINE
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