Resistance Gene Analogs Research Articles

Characterization and selection of markers associated with resistance analogous genes as input for genetic analysis of Prosopis juliflora (Sw.) DC.

The characterization and selection of molecular markers are important for genetic pre-breeding programs since they make it possible to choose the most appropriate markers to be used in future research. Therefore, enabling the generation of subsidies for genetic-molecular studies in algabora (Prosopis juliflora (Sw.) DC). The amplification profile was characterized. It was generated from 17 pairs of RGA primers (Resistance Gene Analogs) in 20 samples of genomic DNA of P. juliflora extracted from specimens collected in the city of Itapetinga, Bahia. The amplifications were performed according to previously published laboratory routines and the amplification profiles analyzed from the photodocumentation of the electrophoresis results in 2% agarose gels. Based on the amplification profiles the primer pairs were classified as: Suitable: amplifications in the whole samples and with easy visualization; Reasonable: amplification in parts of the samples and/or difficult to visualize or Inadequate: absence of visible amplification products. Descriptive analyzes associated with the number of generated markers, percentage of polymorphism, expected heterozygosity (He) and the content of polymorphic information (PIC) were also performed. In a nutshell, 12 out of the 17 pairs of RGA primers generated amplification products with easy visualization and only two of these 12 pairs of primers were monomorphic. The percentage of polymorphism varied from 60% to 100%, He and PIC presented an average of 0.21 (ranging from 0 to 0.38) and 0.17 (ranging from 0 to 0.29), respectively. The results confirm that the RGA primers present adequate characteristics for genetic studies in P. juliflora, making it possible to prioritize 12 pairs of primers, which are subject to genetic improvement studies.

Allocation of the oat powdery mildew resistance gene Pm3 to oat chromosome 1A

Besides the mode of inheritance, the knowledge of the chromosome location and allelic relationships are the essentials towards a successful deployment and stacking of divergent disease resistance genes for a given pathogen in breeding programs. Powdery mildew of oats, to which 11 major resistance genes in the host Avena sativa L. have been characterized so far, is a prevalent fungal disease of the crop in Northwestern Europe. In the present study, the resistance gene Pm3 was mapped by linkage analysis relative to molecular markers from oat consensus linkage group Mrg18 which was recently determined to represent oat chromosome 1A. Pm3 was located at 67.7–72.6 cM on Mrg18 of the oat consensus map, a position at which also stem and crown rust resistance genes Pg13 and Pc91 and a large cluster of resistance gene analogs have been previously mapped. The closely linked marker GMI_ES03_c2277_336 was found to be useful for the prediction of Pm3 in gene postulation studies. Although the major effect of the widespread gene got lost over time, the known genome location with associated markers will assist revealing in future genetic studies whether there is a possible residual effect of the gene contributing to adult plant resistance.

Transcriptional Regulatory Networks Associate with Early Stages of Potato Virus X Infection of Solanum tuberosum.

Potato virus X (PVX) belongs to genus Potexvirus. This study characterizes the cellular transcriptome responses to PVX infection in Russet potato at 2 and 3 days post infection (dpi). Among the 1242 differentially expressed genes (DEGs), 268 genes were upregulated, and 37 genes were downregulated at 2 dpi while 677 genes were upregulated, and 265 genes were downregulated at 3 dpi. DEGs related to signal transduction, stress response, and redox processes. Key stress related transcription factors were identified. Twenty-five pathogen resistance gene analogs linked to effector triggered immunity or pathogen-associated molecular pattern (PAMP)-triggered immunity were identified. Comparative analysis with Arabidopsis unfolded protein response (UPR) induced DEGs revealed genes associated with UPR and plasmodesmata transport that are likely needed to establish infection. In conclusion, this study provides an insight on major transcriptional regulatory networked involved in early response to PVX infection and establishment.

Chromosome-scale genome assembly of Cucumis hystrix\u2014a wild species interspecifically cross-compatible with cultivated cucumber

Cucumis hystrix Chakr. (2n = 2x = 24) is a wild species that can hybridize with cultivated cucumber (C. sativus L., 2n = 2x = 14), a globally important vegetable crop. However, cucumber breeding is hindered by its narrow genetic base. Therefore, introgression from C. hystrix has been anticipated to bring a breakthrough in cucumber improvement. Here, we report the chromosome-scale assembly of C. hystrix genome (289 Mb). Scaffold N50 reached 14.1 Mb. Over 90% of the sequences were anchored onto 12 chromosomes. A total of 23,864 genes were annotated using a hybrid method. Further, we conducted a comprehensive comparative genomic analysis of cucumber, C. hystrix, and melon (C. melo L., 2n = 2x = 24). Whole-genome comparisons revealed that C. hystrix is phylogenetically closer to cucumber than to melon, providing a molecular basis for the success of its hybridization with cucumber. Moreover, expanded gene families of C. hystrix were significantly enriched in “defense response,” and C. hystrix harbored 104 nucleotide-binding site–encoding disease resistance gene analogs. Furthermore, 121 genes were positively selected, and 12 (9.9%) of these were involved in responses to biotic stimuli, which might explain the high disease resistance of C. hystrix. The alignment of whole C. hystrix genome with cucumber genome and self-alignment revealed 45,417 chromosome-specific sequences evenly distributed on C. hystrix chromosomes. Finally, we developed four cucumber–C. hystrix alien addition lines and identified the exact introgressed chromosome using molecular and cytological methods. The assembled C. hystrix genome can serve as a valuable resource for studies on Cucumis evolution and interspecific introgression breeding of cucumber.

Characterization and Expression Analysis of Resistance Gene Analogues in Elite Sugarcane Genotypes.

Resistance Gene Analogues (RGAs) are an important source of disease resistance in crop plants and have been extensively studied for their identification, tagging and mapping of Quantitative Trait Loci (QTLs). Tracking these RGAs in sugarcane can be of great help for the selection and screening of disease resistant clones. In the present study expression of different Resistance Gene Analogues (RGAs) was assessed in indigenous elite sugarcane genotypes which include resistant, highly resistant, susceptible and highly susceptible to disease infestation. Total cellular DNA and RNA were isolated from fourteen indigenous elite sugarcane genotypes. PCR, semi-quantitative RT PCR and real time qPCR analyses were performed. The resultant amplicons were sequence characterized, chromosomal localization and phylogenetic analysis were performed. All of the 15 RGA primers resulted in amplification of single or multiple fragments from genomic DNA whereas only five RGA primers resulted in amplification from cDNA. Sequence characterization of amplified fragments revealed 86-99% similarity with disease resistance proteins indicating their potential role in disease resistance response. Phylogenetic analysis also validated these findings. Further, expression of RGA-012, RGA-087, RGA-118, RGA-533 and RGA-542 appeared to be upregulated and down regulated in disease resistant and susceptible genotypes, respectively, after inoculation with Colletotrichum falcatum. RGAs are present in most of our indigenous genotypes. Anyhow, differential expression of five RGAs indicated that they have some critical role in disease resistance. So, the retrieved results can not only be employed to devise molecular markers for the screening of disease resistant genotypes but can also be used to develop disease resistant plants through transgenic technology.

Receptor-Like Kinase (RLK) as a candidate gene conferring resistance to Hemileia vastatrix in coffee

The biotrophic fungus Hemileia vastatrix causes coffee leaf rust (CLR), one of the most devastating diseases in Coffea arabica . Coffee, like other plants, has developed effective mechanisms to recognize and respond to infections caused by pathogens. Plant resistance gene analogs (RGAs) have been identified in certain plants as candidates for resistance ( R ) genes or membrane receptors that activate the R genes. The RGAs identified in different plants possess conserved domains that play specific roles in the fight against pathogens. Despite the importance of RGAs, in coffee plants these genes and other molecular mechanisms of disease resistance are still unknown. This study aimed to sequence and characterize candidate genes from coffee plants with the potential for involvement in resistance to H. vastatrix . Sequencing was performed based on a library of bacterial artificial chromosomes (BAC) of the coffee clone ‘Híbrido de Timor’ (HdT) CIFC 832/2 and screened using a functional marker. Two RGAs, HdT_LRR_RLK1 and HdT_LRR_RLK2, containing the motif of leucine-rich repeat-like kinase (LRR-RLK) were identified. Based on the presence or absence of the HdT_LRR_RLK2 RGA in a number of differential coffee clones containing different combinations of the rust resistance gene, these RGAs did not correspond to any resistance gene already characterized (SH1-9). These genes were also analyzed using qPCR and demonstrated a major expression peak at 24 h after inoculation in both the compatible and incompatible interactions between coffee and H. vastatrix . These results are valuable information for breeding programs aimed at developing CLR-resistant cultivars, in addition to enabling a better understanding of the interactions between coffee and H. vastatrix .

Genome-wide probing of NBS-LRR encoding genes in red clover (Trifolium pratense L) for the identification of resistance gene analogs in Trifolium alexandrinum L

Genome-wide probing of NBS-LRR encoding genes in red clover (Trifolium pratense L) for the identification of resistance gene analogs in Trifolium alexandrinum L

Genome-Wide Identification and Evolution of Receptor-Like Kinases (RLKs) and Receptor like Proteins (RLPs) in Brassica juncea.

Simple SummaryPlants have evolved defence mechanisms to protect themselves against microbial pathogens. The identification of genes underlying quantitative trait loci is extremely challenging in complex polyploid genomes. In this research, we identify and characterise two types of resistance genes; RLKs (receptor like kinases) and RLPs (receptor like proteins) in Indian mustard (Brassica juncea), one of the major crops in India and an important member of the Brassicaceae family, which can be linked to QTL for disease resistance. The outcome provides a valuable resource for facilitating the identification of functional resistance genes which can be employed by breeders toward the production of resistant cultivars.Brassica juncea, an allotetraploid species, is an important germplasm resource for canola improvement, due to its many beneficial agronomic traits, such as heat and drought tolerance and blackleg resistance. Receptor-like kinase (RLK) and receptor-like protein (RLP) genes are two types of resistance gene analogues (RGA) that play important roles in plant innate immunity, stress response and various development processes. In this study, genome wide analysis of RLKs and RLPs is performed in B. juncea. In total, 493 RLKs (LysM-RLKs and LRR-RLKs) and 228 RLPs (LysM-RLPs and LRR-RLPs) are identified in the genome of B. juncea, using RGAugury. Only 13.54% RLKs and 11.79% RLPs are observed to be grouped within gene clusters. The majority of RLKs (90.17%) and RLPs (52.83%) are identified as duplicates, indicating that gene duplications significantly contribute to the expansion of RLK and RLP families. Comparative analysis between B. juncea and its progenitor species, B. rapa and B. nigra, indicate that 83.62% RLKs and 41.98% RLPs are conserved in B. juncea, and RLPs are likely to have a faster evolution than RLKs. This study provides a valuable resource for the identification and characterisation of candidate RLK and RLP genes.

Frontiers in Dissecting and Managing Brassica Diseases: From Reference-Based RGA Candidate Identification to Building Pan-RGAomes.

The Brassica genus contains abundant economically important vegetable and oilseed crops, which are under threat of diseases caused by fungal, bacterial and viral pathogens. Resistance gene analogues (RGAs) are associated with quantitative and qualitative disease resistance and the identification of candidate RGAs associated with disease resistance is crucial for understanding the mechanism and management of diseases through breeding. The availability of Brassica genome assemblies has greatly facilitated reference-based quantitative trait loci (QTL) mapping for disease resistance. In addition, pangenomes, which characterise both core and variable genes, have been constructed for B. rapa, B. oleracea and B. napus. Genome-wide characterisation of RGAs using conserved domains and motifs in reference genomes and pangenomes reveals their clustered arrangements and presence of structural variations. Here, we comprehensively review RGA identification in important Brassica genome and pangenome assemblies. Comparison of the RGAs in QTL between resistant and susceptible individuals allows for efficient identification of candidate disease resistance genes. However, the reference-based QTL mapping and RGA candidate identification approach is restricted by the under-represented RGA diversity characterised in the limited number of Brassica assemblies. The species-wide repertoire of RGAs make up the pan-resistance gene analogue genome (pan-RGAome). Building a pan-RGAome, through either whole genome resequencing or resistance gene enrichment sequencing, would effectively capture RGA diversity, greatly expanding breeding resources that can be utilised for crop improvement.

A Meta-Analysis of Quantitative Trait Loci Associated with Multiple Disease Resistance in Rice (Oryza sativa L.)

Rice blast, sheath blight and bacterial leaf blight are major rice diseases found worldwide. The development of resistant cultivars is generally perceived as the most effective way to combat these diseases. Plant disease resistance is a polygenic trait where a combinatorial effect of major and minor genes affects this trait. To locate the source of this trait, various quantitative trait loci (QTL) mapping studies have been performed in the past two decades. However, investigating the congruency between the reported QTL is a daunting task due to the heterogeneity amongst the QTLs studied. Hence, the aim of our study is to integrate the reported QTLs for resistance against rice blast, sheath blight and bacterial leaf blight and objectively analyze and consolidate the location of QTL clusters in the chromosomes, reducing the QTL intervals and thus identifying candidate genes within the selected meta-QTL. A total of twenty-seven studies for resistance QTLs to rice blast (8), sheath blight (15) and bacterial leaf blight (4) was compiled for QTL projection and analyses. Cumulatively, 333 QTLs associated with rice blast (114), sheath blight (151) and bacterial leaf blight (68) resistance were compiled, where 303 QTLs could be projected onto a consensus map saturated with 7633 loci. Meta-QTL analysis on 294 QTLs yielded 48 meta-QTLs, where QTLs with membership probability lower than 60% were excluded, reducing the number of QTLs within the meta-QTL to 274. Further, three meta-QTL regions (MQTL2.5, MQTL8.1 and MQTL9.1) were selected for functional analysis on the basis that MQTL2.5 harbors the highest number of QTLs; meanwhile, MQTL8.1 and MQTL9.1 have QTLs associated with all three diseases mentioned above. The functional analysis allows for determination of enriched gene ontology and resistance gene analogs (RGAs) and other defense-related genes. To summarize, MQTL2.5, MQTL8.1 and MQTL9.1 have a considerable number of R-genes that account for 10.21%, 4.08% and 6.42% of the total genes found in these meta-QTLs, respectively. Defense genes constitute around 3.70%, 8.16% and 6.42% of the total number of genes in MQTL2.5, MQTL8.1 and MQTL9.1, respectively. This frequency is higher than the total frequency of defense genes in the rice genome, which is 0.0096% (167 defense genes/17,272 total genes). The integration of the QTLs facilitates the identification of QTL hotspots for rice blast, sheath blight and bacterial blight resistance with reduced intervals, which helps to reduce linkage drag in breeding. The candidate genes within the promising regions could be utilized for improvement through genetical engineering.

Computational Identification and Comparative Analysis of Conserved miRNAs and Their Putative Target Genes in the Juglans regia and J. microcarpa Genomes.

MicroRNAs (miRNAs) are important factors for the post-transcriptional regulation of protein-coding genes in plants and animals. They are discovered either by sequencing small RNAs or computationally. We employed a sequence-homology-based computational approach to identify conserved miRNAs and their target genes in Persian (English) walnut, Juglans regia, and its North American wild relative, J. microcarpa. A total of 119 miRNA precursors (pre-miRNAs) were detected in the J. regia genome and 121 in the J. microcarpa genome and miRNA target genes were predicted and their functional annotations were performed in both genomes. In the J. regia genome, 325 different genes were targets; 87.08% were regulated by transcript cleavage and 12.92% by translation repression. In the J. microcarpa genome, 316 different genes were targets; 88.92% were regulated by transcript cleavage and 11.08% were regulated by translation repression. Totals of 1.3% and 2.0% of all resistance gene analogues (RGA) and 2.7% and 2.6% of all transcription factors (TFs) were regulated by miRNAs in the J. regia and J. microcarpa genomes, respectively. Juglans genomes evolved by a whole genome duplication (WGD) and consist of eight pairs of fractionated homoeologous chromosomes. Within each pair, the chromosome that has more genes with greater average transcription also harbors more pre-miRNAs and more target genes than its homoeologue. While only minor differences were detected in pre-miRNAs between the J. regia and J. microcarpa genomes, about one-third of the pre-miRNA loci were not conserved between homoeologous chromosome within each genome. Pre-miRNA and their corresponding target genes showed a tendency to be collocated within a subgenome.

Diversity analysis of kinase like disease resistance gene analogues in sugarcane

Red rot disease is a severe disease of sugarcane that affects the crop productivity in sugarcane growing countries. In this study, resistance gene analogues (RGAs) similar to kinase resistance protein isolated from sugarcane red rot resistant, moderately resistant and susceptible genotypes were compared with wall associated receptor like kinases of various plants. The non-RD serine/threonine kinase regions were noticed in all identified sugarcane RGAs. The amino acid identity percentage among resistant, moderately resistant and susceptible sugarcane RGAs was more than 90% which indicated that conserved kinase region is present in these RGAs. However, when compared with other monocots and dicots, the identified RGAs showed much diversity in kinase region. As the RGAs of sugarcane are of non-RD serine/threonine kinase that are typically associated with immune responses in plant, the findings may be extremely useful that can be used as RGAs based marker development for resistance breeding in sugarcane.

English

Croton linearifolius Mull. Arg, an endemic species of Brazil, has insecticidal activity proven. To the detriment of its importance as a natural resource, the studies of this species are incipient, as well as the strategies applied to its management and conservation. The diversity and genetic structure in 61 individuals of C. linearifolius collected in the National Forest Contendas do Sincora (NFCS) were estimated. Estimates were based on analysis of the amplification profile of nine combinations of pairs of resistance gene analogs (RGA) primers and eight inter simple sequence repeat (ISSR) primers. A total of 134 markers (81.3% polymorphic) were generated. Bayesian analysis indicated as most likely a structuring into two groups. Based on the molecular analysis of variance (AMOVA) it was possible to verify that 64% (p rand <0.01) of the variation occurs within the regions, and a significant amount (36%) (p rand <0.01) was attributed to variations between regions, indicating genetic structure between them. The AMOVA results were corroborated with the Principal Coordinate Analysis (PCoA), indicating an association between the distribution of variability and the geographical distribution of the collection regions. The probable mechanisms pollination and dispersion would justify, at least in part, the genetic structuring observed for C. linearifolius. Key words: Conservation, genetic variability, genetic polymorphism, resistance gene analogs (RGA) marker, inter simple sequence repeat (ISSR) marker.

Resistance Gene Analogs of Mango: Insights on Molecular Defenses and Evolutionary Dynamics

Mango is an economically important fruit crop largely cultivated in the tropics and, thus, is constantly challenged by a myriad of insect pests and diseases. However, no detailed analysis of its resistance gene analogs (RGAs) has been performed, which is a vital resource for plant breeding. Here, we analyzed the RGAs of mango via de novo assembly of transcriptomic sequences and mining of the recently published whole genome sequence (WGS). From the transcriptomic assembly, a core mango RGA database with 747 protein models was established. Meanwhile, 1,775 RGAs were identified in the mango WGS and classified based on conserved domains and motifs: 54 nucleotide binding site proteins (NBS), 107 NBS – leucine rich repeat proteins (NBSLRR), 242 coiled-coil NBS-LRR (CNL), 79 toll/interleukin-1 receptor NBS-LRR (TNL), 78 coiled-coil NBS (CN), 30 toll/interleukin-1 receptor NBS (TN), 45 toll/interleukin-1 receptor with unknown domain (TX), 133 receptor-like proteins (RLP), 917 receptor-like kinases (RLK), 83 transmembrane coiled-coil domain protein (TM-CC), and seven NBS-encoding proteins with other domains. The transcriptome- and genome-wide RGAs have been functionally wellannotated through gene ontology (GO) analysis, and their expression profiles across different mango varieties were also examined. Phylogenetic analyses of expressed and genome-wide RGAs suggest highly divergent functions of the RGAs, which were broadly clustered into 6 and 8 major clades, respectively, based on their domain classification. From the mango RGA transcripts, 134 unique EST-SSR (expressed sequence tags – simple sequence repeat) loci were identified and primers were designed targeting these potential markers. Moreover, comparative analysis of mango with other plant species revealed 65 species-specific RGA families (396 orthologous genes) and detected 1,005 RGA gene duplication events. To date, this is the most comprehensive analysis of mango RGAs, which also provide insights into the dynamic mangopest co-evolutionary arms race and offer a trove of markers for utilization in resistance breeding.

Resistance Gene Analogs in the Brassicaceae: Identification, Characterization, Distribution, and Evolution.

The Brassicaceae consists of a wide range of species, including important Brassica crop species and the model plant Arabidopsis (Arabidopsis thaliana). Brassica spp. crop diseases impose significant yield losses annually. A major way to reduce susceptibility to disease is the selection in breeding for resistance gene analogs (RGAs). Nucleotide binding site-leucine rich repeats (NLRs), receptor-like kinases (RLKs), and receptor-like proteins (RLPs) are the main types of RGAs; they contain conserved domains and motifs and play specific roles in resistance to pathogens. Here, all classes of RGAs have been identified using annotation and assembly-based pipelines in all available genome annotations from the Brassicaceae, including multiple genome assemblies of the same species where available (total of 32 genomes). The number of RGAs, based on genome annotations, varies within and between species. In total 34,065 RGAs were identified, with the majority being RLKs (21,691), then NLRs (8,588) and RLPs (3,786). Analysis of the RGA protein sequences revealed a high level of sequence identity, whereby 99.43% of RGAs fell into several orthogroups. This study establishes a resource for the identification and characterization of RGAs in the Brassicaceae and provides a framework for further studies of RGAs for an ultimate goal of assisting breeders in improving resistance to plant disease.

Identification of resistance loci in Chinese and Canadian canola/rapeseed varieties against Leptosphaeria maculans based on genome-wide association studies

BackgroundThe fungal pathogen Leptosphaeria maculans (Lm). causes blackleg disease on canola/rapeseed in many parts of the world. It is important to use resistant cultivars to manage the disease and minimize yield losses. In this study, twenty-two Lm isolates were used to identify resistance genes in a collection of 243 canola/rapeseed (Brassica napus L.) accessions from Canada and China. These Lm isolates carry different compliments of avirulence genes, and the investigation was based on a genome-wide association study (GWAS) and genotype-by-sequencing (GBS).ResultsUsing the CROP-SNP pipeline, a total of 81,471 variants, including 78,632 SNPs and 2839 InDels, were identified. The GWAS was performed using TASSEL 5.0 with GLM + Q model. Thirty-two and 13 SNPs were identified from the Canadian and Chinese accessions, respectively, tightly associated with blackleg resistance with P values < 1 × 10− 4. These SNP loci were distributed on chromosomes A03, A05, A08, A09, C01, C04, C05, and C07, with the majority of them on A08 followed by A09 and A03. The significant SNPs identified on A08 were all located in a 2010-kb region and associated with resistance to 12 of the 22 Lm isolates. Furthermore, 25 resistance gene analogues (RGAs) were identified in these regions, including two nucleotide binding site (NBS) domain proteins, fourteen RLKs, three RLPs and six TM-CCs. These RGAs can be the potential candidate genes for blackleg resistance.ConclusionThis study provides insights into potentially new genomic regions for discovery of additional blackleg resistance genes. The identified regions associated with blackleg resistance in the germplasm collection may also contribute directly to the development of canola varieties with novel resistance genes against blackleg of canola.

Quantitative trait loci mapping of adult‐plant resistance to powdery mildew in triticale

AbstractPowdery mildew (PM) is a common disease caused by Blumeria graminis, which affects cereals and has recently adapted to triticale. Adult‐plant resistance (APR) genes provide durable protection of crops from the disease. Quantitative trait loci corresponding to the APR effects were mapped in an F2 population of “Lamberto” (susceptible) × “Moderto” (resistant). A genetic map of winter triticale was constructed based on the segregation of 863 DArT, 38 microsatellite and 10 resistance gene analogue markers. Composite interval mapping (CIM) was applied to identify three QTLs for maximum disease severity (MDS) and two for the area under disease progress curve (AUDPC) conferring resistance to the powdery mildew on chromosomes: 6A, 7A, 1B and 4R. The 39% variation in AUDPC was explained by the main QTL localised on chromosome 4R. Genes coding TRIUR3 proteins, serine/threonine protein kinase and cell wall associated kinases were localised in silico within the QTL and alternative DNA markers were proposed for flexible use in laboratories of diversified throughput.

In silico guided structural and functional analysis of genes with potential involvement in resistance to coffee leaf rust: A functional marker based approach.

Physiology-based differentiation of SH genes and Hemileia vastatrix races is the principal method employed for the characterization of coffee leaf rust resistance. Based on the gene-for-gene theory, nine major rust resistance genes (SH1-9) have been proposed. However, these genes have not been characterized at the molecular level. Consequently, the lack of molecular data regarding rust resistance genes or candidates is a major bottleneck in coffee breeding. To address this issue, we screened a BAC library with resistance gene analogs (RGAs), identified RGAs, characterized and explored for any SH related candidate genes. Herein, we report the identification and characterization of a gene (gene 11), which shares conserved sequences with other SH genes and displays a characteristic polymorphic allele conferring different resistance phenotypes. Furthermore, comparative analysis of the two RGAs belonging to CC-NBS-LRR revealed more intense diversifying selection in tomato and grape genomes than in coffee. For the first time, the present study has unveiled novel insights into the molecular nature of the SH genes, thereby opening new avenues for coffee rust resistance molecular breeding. The characterized candidate RGA is of particular importance for further biological function analysis in coffee.

Identification of resistance gene analogs involved in Phytophthora capsici recognition in black pepper (Piper nigrum L.)

Black pepper (Piper nigrum L.) is an important spice crop with high economic value. However, its production is severely hampered by the oomycete pathogen, Phytophthora capsici. Integrative disease management strategies have been developed to control the pathogen, but the pathogen is in the phase of evolving its virulence. Absolute resistance against Phytophthora rot was not reported in black pepper germplasm. However, Piper colubrinum, a wild species is reported as resistant. Resistance proteins are involved in continuous surveillance of pathogen entry and activation of plant defense signalling pathways for an effective hypersensitive response to prevent pathogen invasion. In this study, a sequence-based homology approach using the conserved nucleotide-binding site (NBS) of known plant resistance genes was used to isolate Resistance Gene Analogs (RGA) and assess their transcript level during Phytophthora infection. The RGA transcript level was evaluated in resistant wild species (P. colubrinum), two moderately resistant black pepper genotypes (IISR Sakthi and 04-P24-1), and one susceptible genotype (Subhakara). The identified RGAs of black pepper were found to be of non-TIR R gene class with NBS motifs. The expressions of six PnRGAs were assessed employing qRT-PCR at different time points after challenging with highly aggressive Phytophthora isolate. The kinetics of differential expression post-infection with P. capsici indicates the differential timing and magnitude of pathogen recognition in resistant P. colubrinum and moderately resistant black pepper genotypes compared to susceptible genotype. In silico analysis revealed that differentially expressed P. nigrum RGAs function through ADP phosphorylation, which is a key process in pathogen recognition. The identification of P. nigrum RGAs induced by P. capsici should provide valuable information for cloning and characterization of resistance genes.

Identification of NBS-LRR Resistance Gene Analogues (RGA) from Rose (IIHRR13-4) Resistant to Powdery Mildew (Podosphaera pannosa (Wallr.:Fr.) de Bary)

Resistance is the best strategy to manage powdery mildew (Podosphaera pannosa (Wallr.:Fr.) de Bary) of rose. Identification of resistant genes (R genes) from plant species will help in breeding programs. Nucleotide Binding Site - Leucine Rich Repeats (NBS- LRR) is a major class of R gene family in plants. This study reports the identification and molecular characterization of resistance gene analogues from roses maintained at ICAR- Indian Institute of Horticultural Research (IIHR). The powdery mildew resistant line IIHRR13-4 was compared with the susceptible commercial cultivar, konfetti. PCR based approaches with degenerative primers based on different conserved motifs of NBS-LRR were employed to isolate resistance gene analogues (RGAs) from rose. Eleven RGAs (IIHRR13-4R1, IIHRR13-4R2, IIHRR13-4R3, IIHRR13-4R4, IIHRR13-4R5, IIHRR13- 4R6, IIHRR13-4R7, IIHRR13-4R8 IIHRR13-4R9 and IIHRR13-4R10) were identified from powdery mildew resistant germplasm line, IIHRR13-4, based on the sequence and similarity to RGAs from rosaceae family and other crops. The major similarity to rose RGAs reported are from Fragaria vesca, Rosa hybrid cultivar, Prunus and Rosa chinensis. RGAs isolated from IIHRR13-4 belonged to Toll Interleukin Receptor (TIR)-NBS-LRR and Non-TIR-NBS-LRR RGAs (Lecine Zipper (LZ) type). Different motifs of RGAs identified were P-loop, RNBS A, kinase 2, kinase 3a, RNBS-D and GLPL of NBS domain. This study reports the existence of resistance at genetic level in powdery mildew resistant genotype IIHRR13-4. These RGAs will be useful for mapping and characterization of R genes in IIHRR13-4 and breeding for improved powdery mildew resistance in roses.