Abstract
Plants express resistance (R) genes to recognize invaders and prevent the spread of pathogens. To analyze nucleotide binding site, leucine-rich repeat (NB-LRR) genes, we constructed a fast pipeline to predict and classify the R gene analogs (RGAs) by applying in-house matrices. With predicted ~37,000 RGAs, we can directly compare RGA contents across entire plant lineages, from green algae to flowering plants. We focused on the highly divergent NBLRRs in land plants following the emergence of mosses. We identified entire loss of Toll/Interleukin-1 receptor, NBLRR (TNL) in Poaceae family of monocots and interestingly from Mimulus guttatus (a dicot), which leads to the possibility of species-specific TNL loss in other sequenced flowering plants. Using RGA maps, we have elucidated a positive correlation between the cluster sizes of NB-LRRs and their numbers. The cluster members were observed to consist of the same class of NB-LRRs or their variants, which were probably generated from a single locus for an R gene. Our website ( http://sol.kribb.re.kr/PRGA/ ), called plant resistance gene analog (PRGA), provides useful information, such as RGA annotations, tools for predicting RGAs, and analyzing domain profiles. Therefore, PRGA provides new insights into R-gene evolution and is useful in applying RGA as markers in breeding and or systematic studies.
MeSH Terms
Binding Sites
Computational Biology
Genetic Variation
Genome, Plant
Leucine/genetics
Phylogeny
Plant Immunity/genetics
Plant Proteins/genetics
Plants/genetics
Repetitive Sequences, Amino Acid
Sequence Alignment
Sequence Homology, Amino Acid
Chemicals
Plant Proteins
Leucine
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Kim Jungeun
Green Bio Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Lim Chan Ju
Lee Bong-Woo
Choi Jae-Pil
Oh Sang-Keun
Ahmad Raza
Kwon Suk-Yoon
Ahn Jisook
Hur Cheol-Goo
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