Molecular Plant-Microbe InteractionsPlant BiologyPeer-reviewed journal article
A reference-quality NLRome for the hexaploid sweetpotato and diploid wild relatives
Camilo H. Parada-RojasiD, Kevin L. ChildsiD, Monica Fernandez De SotoiD, A. SalcedoiD, Kenneth V. PecotaiD, George Craig YenchoiD, C. V. AlmeydaiD, John P. HamiltoniD, Mercy N. KitaviiD, C. Robin BuelliD, Gavin C. ConantiD, David A. BaltzegariD, L. M. Quesada-OcampoiD
Abstract
Breeding for sweetpotato (Ipomea batatas) resistance requires accelerating our understanding genomic of sources of resistance. Nucleotide-binding domain leucine-rich repeat receptors (NLRs) proteins represent a key component of the plant immune system that mediate plant immune responses. We cataloged the NLR diversity in 32 hexaploid sweetpotato genotypes and three diploid wild relatives using resistance gene enrichment sequencing (RenSeq) to capture and sequence full NLRs. A custom designed NLR bait-library enriched NLR genes with an average 97% target capture rate. We employed a curated database of cloned and functionally characterized NLRs to assign sequenced sweetpotato NLRs to canonical phylogenetic clades. We identified between 800 to 1,200 complete NLRs, highlighting the expanded diversity of coiled-coil NLRs (CNLs) across all genotypes. NLRs among sweetpotato genotypes exhibited large conservation across genotypes. Phylogenetic distance between 6X (hexaploid) and 2X (diploid) genotypes revealed that a small repertoire of I. batatas CNLs diverged from the sweetpotato wild relatives. Finally, we obtained chromosome coordinates in hexaploid (Beauregard) and diploid (Ipomoea trifida) genomes and recorded clustering of NLRs on chromosomes arms. Our study provides a catalog of NLR genes that can be used to accelerate breeding and increase our understanding of evolutionary dynamics of sweetpotato NLRs.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: cell type annotation
- research focus: chromatin & epigenetic regulation
- approach: experimental assay
- Citations
- 4
- FWCI
- 2.15
- Field percentile
- top 14%
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