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Conifers Concentrate Large Numbers of NLR Immune Receptor Genes on One Chromosome.

Authors :
Woudstra, Yannick
Tumas, Hayley
Ghelder, Cyril van
Hung, Tin Hang
Ilska, Joana J
Girardi, Sebastien
A'Hara, Stuart
McLean, Paul
Cottrell, Joan
Bohlmann, Joerg
Bousquet, Jean
Birol, Inanc
Woolliams, John A
MacKay, John J
Source :
Genome Biology & Evolution. Jun2024, Vol. 16 Issue 6, p1-15. 15p.
Publication Year :
2024

Abstract

Nucleotide-binding domain and leucine-rich repeat (NLR) immune receptor genes form a major line of defense in plants, acting in both pathogen recognition and resistance machinery activation. NLRs are reported to form large gene clusters in limber pine (Pinus flexilis), but it is unknown how widespread this genomic architecture may be among the extant species of conifers (Pinophyta). We used comparative genomic analyses to assess patterns in the abundance, diversity, and genomic distribution of NLR genes. Chromosome-level whole genome assemblies and high-density linkage maps in the Pinaceae, Cupressaceae, Taxaceae, and other gymnosperms were scanned for NLR genes using existing and customized pipelines. The discovered genes were mapped across chromosomes and linkage groups and analyzed phylogenetically for evolutionary history. Conifer genomes are characterized by dense clusters of NLR genes, highly localized on one chromosome. These clusters are rich in TNL-encoding genes, which seem to have formed through multiple tandem duplication events. In contrast to angiosperms and nonconiferous gymnosperms, genomic clustering of NLR genes is ubiquitous in conifers. NLR-dense genomic regions are likely to influence a large part of the plant's resistance, informing our understanding of adaptation to biotic stress and the development of genetic resources through breeding. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17596653
Volume :
16
Issue :
6
Database :
Academic Search Index
Journal :
Genome Biology & Evolution
Publication Type :
Academic Journal
Accession number :
178159732
Full Text :
https://doi.org/10.1093/gbe/evae113