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Title: NBS-LRR-Encoding genes in sorghum and their role in plant defense

Author
item ZHANG, HENGYOU - Oklahoma State University
item Huang, Yinghua
item YAN, LIULING - Three Gorges University

Submitted to: Annual International Plant & Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 12/15/2015
Publication Date: 1/12/2016
Citation: Zhang, H., Huang, Y., Yan, L. 2016. NBS-LRR-Encoding genes in sorghum and their role in plant defense. In: Proceedings of the XXIV Annual International Plant & Animal Genome Conference, January 9-13, 2016, San Diego, CA.. P0775.

Interpretive Summary:

Technical Abstract: Nucleotide-binding site leucine-rich repeats (NBS-LRR) proteins are encoded by a large class of plant genes and many of them play an important role in plant defense against pest attack. Identification and characterization of the whole set of NBS-LRR genes in a plant genome will provide insights into the diversity of defense genes operating in a plant species. In this study, we identified 308 NBS type genes, distributing at distal ends of ten chromosomes as clusters or singletons. Chromosomal locations analysis of these genes and 17 published QTLs indicated two hot-spot regions responsible for resistance to at least two biotic stresses. Phylogenetic analysis classified NBS-encoding genes, RLP, and RLK genes into five, eleven, and six clades, respectively, of which region-specific subclades were observed. Investigation of exon/intron organization demonstrated the variations of number and location of introns within a family, and genes evolved from a common ancesters possess similar or same gene structures. A total of 142 genes, 12 genes, and one gene of NBS-encoding genes, RLKs and RLPs, respectively, might be derived from whole genome duplication. Expression profiling analysis indicated that 19 genes of them show significantly differential expression after infestation by greenbug biotype I (GBI). Co-localization analysis of the genome-wide NBS-encoding genes, RLP and RLK family genes with published QTLs, and expression profiling analysis provide the useful gene resources for functional characterization, and insight into genetic improvement of sorghum regarding resistance to biotic stresses.