期刊
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷 16, 期 8, 页码 19248-19290出版社
MDPI
DOI: 10.3390/ijms160819248
关键词
disease resistance gene; gene mining; nucleotide binding site leucine rich repeat (NBS-LRR); pentatricopeptide repeats (PPRs); resistance gene analog (RGA); receptor like kinase (RLK); receptor like protein (RLP); small RNA (sRNA)
资金
- Genomics Research and Development Initiative (GRDI) project [J-000006]
- A-base project - Agriculture and Agri-Food Canada [J-000066]
Plants have developed effective mechanisms to recognize and respond to infections caused by pathogens. Plant resistance gene analogs (RGAs), as resistance (R) gene candidates, have conserved domains and motifs that play specific roles in pathogens' resistance. Well-known RGAs are nucleotide binding site leucine rich repeats, receptor like kinases, and receptor like proteins. Others include pentatricopeptide repeats and apoplastic peroxidases. RGAs can be detected using bioinformatics tools based on their conserved structural features. Thousands of RGAs have been identified from sequenced plant genomes. High-density genome-wide RGA genetic maps are useful for designing diagnostic markers and identifying quantitative trait loci (QTL) or markers associated with plant disease resistance. This review focuses on recent advances in structures and mechanisms of RGAs, and their identification from sequenced genomes using bioinformatics tools. Applications in enhancing fine mapping and cloning of plant disease resistance genes are also discussed.
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