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Nucleotide‐binding resistance gene signatures in sugar beet,insights from a new reference genome
Authors:Andrew Funk  Paul Galewski  J Mitchell McGrath
Institution:1. Department of Plant, Soil, and Microbial Science, Plant Breeding, Genetics, and Biotechnology Program, Michigan State University, East Lansing, MI, USA;2. USDA‐ARS, Sugarbeet and Bean Research Unit, East Lansing, MI, USA
Abstract:Nucleotide‐binding (NB‐ARC), leucine‐rich‐repeat genes (NLRs) account for 60.8% of resistance (R) genes molecularly characterized from plants. NLRs exist as large gene families prone to tandem duplication and transposition, with high sequence diversity among crops and their wild relatives. This diversity can be a source of new disease resistance, but difficulty in distinguishing specific sequences from homologous gene family members hinders characterization of resistance for improving crop varieties. Current genome sequencing and assembly technologies, especially those using long‐read sequencing, are improving resolution of repeat‐rich genomic regions and clarifying locations of duplicated genes, such as NLRs. Using the conserved NB‐ARC domain as a model, 231 tentative NB‐ARC loci were identified in a highly contiguous genome assembly of sugar beet, revealing diverged and truncated NB‐ARC signatures as well as full‐length sequences. The NB‐ARC‐associated proteins contained NLR resistance gene domains, including TIR, CC and LRR, as well as other integrated domains. Phylogenetic relationships of partial and complete domains were determined, and patterns of physical clustering in the genome were evaluated. Comparison of sugar beet NB‐ARC domains to validated R‐genes from monocots and eudicots suggested extensive Beta vulgaris‐specific subfamily expansions. The NLR landscape in the rhizomania resistance conferring Rz region of Chromosome 3 was characterized, identifying 26 NLR‐like sequences spanning 20 MB. This work presents the first detailed view of NLR family composition in a member of the Caryophyllales, builds a foundation for additional disease resistance work in B. vulgaris, and demonstrates an additional nucleic‐acid‐based method for NLR prediction in non‐model plant species.
Keywords:disease resistance  R‐gene  hidden Markov model  nucleotide‐binding  leucine‐rich repeat gene  sugar beet  resistance cluster     TIR     NB‐ARC  integrated decoy
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