Rice (Oryza sativa) is a staple food for more than half the world and a model for studies of monocotyledonous species, which include cereal crops and candidate bioenergy grasses. A major limitation of crop production is imposed by a suite of abiotic and biotic stresses resulting in 30%–60% yield losses globally each year. To elucidate stress response signaling networks, we constructed an interactome of 100 proteins by yeast two-hybrid (Y2H) assays around key regulators of the rice biotic and abiotic stress responses. We validated the interactome using protein–protein interaction (PPI) assays, co-expression of transcripts, and phenotypic analyses. Using this interactome-guided prediction and phenotype validation, we identified ten novel regulators of stress tolerance, including two from protein classes not previously known to function in stress responses. Several lines of evidence support cross-talk between biotic and abiotic stress responses. The combination of focused interactome and systems analyses described here represents significant progress toward elucidating the molecular basis of traits of agronomic importance.
The rice (Oryza sativa) genome contains 1,429 protein kinases, the vast majority of which have unknown functions. We created a phylogenomic database (http://rkd.ucdavis.edu) to facilitate functional analysis of this large gene family. Sequence and genomic data, including gene expression data and protein-protein interaction maps, can be displayed for each selected kinase in the context of a phylogenetic tree allowing for comparative analysis both within and between large kinase subfamilies. Interaction maps are easily accessed through links and displayed using Cytoscape, an open source software platform. Chromosomal distribution of all rice kinases can also be explored via an interactive interface.
Cloned DNA fragments from 14 characterized maize genes and 91 random fragments used for genetic mapping in maize were tested for their ability to hybridize and detect restriction fragment length polymorphisms in sorghum and other related crop species. Most DNA fragments tested hybridized strongly to DNA from sorghum, foxtail millet, Johnsongrass, and sugarcane. Hybridization to pearl millet DNA was generally weaker, and only a few probes hybridized to barley DNA under the conditions used. Patterns of hybridization of low-copy sequences to maize and sorghum DNA indicated that the two genomes are very similar. Most probes detected two loci in maize; these usually detected two loci in sorghum. Probes that detected one locus in maize generally detected a single locus in sorghum. However, maize repetitive DNA sequences present on some of the genomic clones did not hybridize to sorghum DNA. Most of the probes tested detected polymorphisms among a group of seven diverse sorghum lines tested; over one-third of the probes detected polymorphism in a single F2 population from two of these lines. Cosegregation analysis of 55 F2 individuals enabled several linkage groups to be constructed and compared with the linkage relationships of the same loci in maize. The linkage relationships of the polymorphic loci in the two species were usually conserved, but several rearrangements were detected.The tribe Andropogonae of the Gramineae contains several important crop species of which maize (Zea mays) is the best characterized genetically. Cloned maize DNA fragments that detect polymorphism and have been genetically mapped are available to the public (1-3). These probes have been used to generate a genetic map (1), to estimate evolutionary relationships between related species (4) If most maize restriction fragment length polymorphism (RFLP) probes hybridize sufficiently well to sorghum DNA, then it is possible to construct a genetic map of sorghum that can be directly compared to that of maize. Cloned DNA fragments that hybridize to single sites in the genomes ofboth species can be assumed to have arisen from a single sequence in a common ancestor. The genomic position of such orthologous (6) loci in each of the two species can be compared to outline the chromosomal rearrangements that have occurred during species divergence. Sorghum and maize have the same chromosome number (n = 10), but the nuclear DNA content of maize is over 3 times that of sorghum (7).The utility of genetic mapping in related species with common RFLP probes has been demonstrated in some of the solanaceous crops (6, 8). Tomato (Lycopersicon esculentum), garden pepper (Capsicum annuum), and potato (Solanum tuberosum) all have the same basic chromosome number (n = 12) and the nucleotide sequences of most genes are conserved well enough to permit heterologous hybridization. While few differences were found between the tomato and potato genomes, numerous rearrangements characterized the linkage map of pepper.The present study was undertaken to determine the...
Plants uniquely contain large numbers of protein kinases, and for the vast majority of the 1,429 kinases predicted in the rice (Oryza sativa) genome, little is known of their functions. Genetic approaches often fail to produce observable phenotypes; thus, new strategies are needed to delineate kinase function. We previously developed a cost-effective high-throughput yeast twohybrid system. Using this system, we have generated a protein interaction map of 116 representative rice kinases and 254 of their interacting proteins. Overall, the resulting interaction map supports a large number of known or predicted kinaseprotein interactions from both plants and animals and reveals many new functional insights. Notably, we found a potential widespread role for E3 ubiquitin ligases in pathogen defense signaling mediated by receptor-like kinases, particularly by the kinases that may have evolved from recently expanded kinase subfamilies in rice. We anticipate that the data provided here will serve as a foundation for targeted functional studies in rice and other plants. The application of yeast two-hybrid and TAPtag analyses for large-scale plant protein interaction studies is also discussed.
Several common themes have shaped the evolution of plant disease resistance genes. These include duplication events of progenitor resistance genes and further expansion to create clustered gene families. Variation can arise from both intragenic and intergenic recombination and gene conversion. Recombination has also been implicated in the generation of novel resistance specificities. Resistance gene clusters appear to evolve more rapidly than other regions of the genome. In addition, domains believed to be involved in recognitional specificity, such as the leucine-rich repeat (LRR), are subject to adaptive selection. Transposable elements have been associated with some resistance gene clusters, and may generate further variation at these complexes.
The rp1 locus of maize controls race-specific resistance to the common rust fungus Puccinia sorghi. Four mutant or recombinant Rp1 alleles (rp1-NC3, Rp1-D21, Rp1-MD19, and Rp1-Kr1N) were identified. They condition necrotic phenotypes in the absence of the rust pathogen. These Rp1 lesion mimics fall into three different phenotypic classes: (1) The rp1-NC3 and Rp1-D21 alleles require rust infection or other biotic stimulus to initiate necrotic lesions. These alleles react strongly to all maize rust biotypes tested and also to nonhost rusts. (2) The Rp1-MD19 allele, which has a similar phenotype, also requires a biotic stimulus to initiate lesions. However, Rp1-MD19 shows the race specificity of the Rp1-D gene. (3) The Rp1-Kr1N allele specifies a diffuse necrotic phenotype in the absence of any biotic stimulus and a race-specific reaction when inoculated with maize rust.
The rp1 locus of maize controls race-specific resistance to the common rust fungus Puccinia sorghi. Four mutant or recombinant Rp1 alleles (rp1-NC3, Rp1-D21, Rp1-MD19, and Rp1-Kr1N) were identified. They condition necrotic phenotypes in the absence of the rust pathogen. These Rp1 lesion mimics fall into three different phenotypic classes: (1) The rp1-NC3 and Rp1-D21 alleles require rust infection or other biotic stimulus to initiate necrotic lesions. These alleles react strongly to all maize rust biotypes tested and also to nonhost rusts. (2) The Rp1-MD19 allele, which has a similar phenotype, also requires a biotic stimulus to initiate lesions. However, Rp1-MD19 shows the race specificity of the Rp1-D gene. (3) The Rp1-Kr1N allele specifies a diffuse necrotic phenotype in the absence of any biotic stimulus and a race-specific reaction when inoculated with maize rust.
Three different molecular marker technologies were used to determine the relatedness of 84 different lines of sorghum. Both racial characterization and geographical origin were found to be correlated with relatedness. In some cases, the region of origin was the more significant factor, where samples of different races from the same locality were more closely related than were samples of the same race from different localities. Wild sorghums were shown to have few novel alleles, suggesting that they would be poor sources of germplasm diversity. The results also indicated that Chinese sorghums are a narrow and distinctive group that is most closely related to race bicolor.
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