1. Introduction
The Brassicaceae family consists of 44 tribes, 372 genera and 4060 species [1,2]. Among these, there are two prominent genera: Arabidopsis, which contains the model organism A. thaliana, and Brassica, which contains species such as B. napus, B. oleracea, B. nigra, B. rapa, B. carinata, and B. juncea, which are cultivated as a source of vegetables, condiments and oil [3,4,5,6].
The Brassicaceae ancestral genome has undergone three rounds of whole genome duplication/triplication, leading to the evolution of Arabidopsis and Brassica species [7,8,9,10]. A lineage separation occurred between the 2 genera~29.50 million years ago (MYA) [11], followed by the divergence of the Brassica A, B, and C sub-genomes. The diploid B. nigra (BB, 2n = 16) diverged from B. rapa (AA, 2n = 20) and B. oleracea (CC, 2n = 18)~6.2 to 7.9 MYA [9,12] and the divergence between the A and C sub-genomes occurred 4.6 MYA later [13]. Interspecific hybridisation, followed by polyploidisation, in Brassica species resulted in 3 allotetraploids; B. juncea (AABB, 2n = 4x = 36), which evolved~0.039–0.055 MYA [14], B. carinata (BBCC, 2n = 4x = 34) which evolved~0.047 MYA [11], and B. napus (AACC, 2n = 4x = 38), being the most recent species to evolve some~7500 years ago [15]. The gene content of these allopolyploids represents a history of gene loss and duplication due to polyploidisation and whole genome duplication [16,17].
The large demand and intensified cultivation of Brassica crops have made them vulnerable to abiotic and biotic stresses, particularly to diseases. While the most common control methods for managing pathogens are specific cultural practises and chemical application, the deployment of disease-resistant crops is more environmentally friendly and cost-effective. Brassica crops have two types of disease resistance: qualitative and quantitative. While quantitative relies on several minor genes with partial resistance expressed at the later crop stages, qualitative resistance is governed by major genes or resistance genes (R genes), largely expressed in the early crop stages through to maturity. Both resistance types are useful, however, qualitative is widely utilised in Brassica cultivar development because its effect is easily manifested and can be easily identified at the cotyledon stage. For instance, a set of differential blackleg isolates containing avirulence (Avr) genes is used to screen R genes in B. napus lines via the assessment of a hypersensitive response (HR) observed in the cotyledons [18,19].
Resistance gene analogs (RGAs) play an important role in host resistance [20] and are generally categorized into three main classes, nucleotide-binding site -leucine rice repeats (NLRs), receptor-like protein kinases (RLKs), and receptor-like proteins (RLPs). The NLR family, which is the most common class of RGAs, carries cytoplasmic receptors for recognising specific pathogens and are involved in effector-triggered plant immunity (ETI) [21,22,23,24]. RLKs and RLPs are involved in pattern-triggered immunity (PTI), which relies on pattern recognition receptors (PRRs) to elicit the first line of defence by recognising pathogen elicitors [25,26].
Examining gene homology among plant species is important to obtain the possible functions of a gene. Several studies have exploited gene homology for crop improvement. For instance, the homolog of an A. thaliana R gene, At_NDR1, was cloned and functionally characterised in Coffea arabica, conferring R-gene-mediated resistance to coffee leaf rust caused by Hemileia vastatrix [27]. Further, homologs of the Triticum aestivum Mla gene, TmMla in Hordeum vulgare, Sr33 in Secale cereale, and Sr50 in Aegilops tauschii were introgressed in T. aestivum, providing disease resistance [28,29,30].
Here, we used the sequences of 49 cloned R genes with a confirmed function against fungal and bacterial diseases to identify cloned disease resistance gene homologs (CDRHs) across six Brassica crops and A. thaliana. The evolutionary events including the loss, retention, and diversification of RGA domains in the CDRHs were also investigated. The outcome of this study could facilitate the identification and cloning of functional RGAs and their application in Brassica breeding programs towards disease resistance improvement.
2. Materials and Methods
2.1. Collection of Gene and Genomic Data
A comprehensive search was conducted to identify cloned R genes that provide qualitative resistance to fungal and bacterial diseases in all six Brassica species and Arabidopsis. A total of 49 cloned R genes were identified and included in this study (42 in Arabidopsis and 7 in the Brassica species) based on the following 3 criteria: (1) has a known gene-for-gene interaction with a corresponding pathogen Avr gene or (2) confers resistance in the form of a HR, indicating that it is involved in a gene-for-gene interaction or (3) acts as a helper or accessory gene necessary for the gene-for-gene interaction (Table 1). The complete protein (amino acid, aa) sequence of each gene was extracted from the UniProtKb (
2.2. Homolog Identification and Classification
To perform the homology search, the protein sequence of each of the cloned genes was aligned across the seven genomes using translated Basic Local Alignment Search Tool (tBLASTn) using CoGeBlast [93]. Following the criteria used by previous studies identifying homologous genes in plants, tBLASTn hits with an E value range outside E0 to E-45 [94,95,96] or which did not have >70% similarity [96,97,98,99] were removed from further analyses. Since the smallest reference gene used in the study, At_Rpw8.1, has 148 aa [75], any tBLASTn hits with <148 aa, were also removed from further analyses.
The list of predicted RGAs derived from the RGAugury pipeline [100] in A. thaliana, B. rapa, B. nigra, B. oleracea, B. juncea and B. napus were extracted from a previous study [101] and used to classify homologs. The RGAugury pipeline was also used to predict B. carinata RGAs in this study. The total number of CDRHs and their RGA classification including Nucleotide-binding site (N), Coiled-coil (CC)-NBS-Leucine rich repeats (LRR) (CNL), CC-NBS (CN), NBS-LRR (NL), Toll/Interleukin-1 receptor (TIR)-NBS-LRR (TNL), TIR-NBS (TN), TIR with unknown domains (TX), NLR with other domains (Other-NLR), Receptor-like kinase protein (RLK) with LRR (LRR-RLK), RLK with Lysin motif (LsyM) (LysM-RLK), RLK with other receptor (Other-RLK), Receptor-like protein (RLP) with LRR (LRR-RLP) and RLP with LysM (LysM-RLP) were identified for each species. We further classified the RGAs according to whether they had the same predicted domain to their homologous counterpart, or whether it was different.
Homolog types, such as paralog (homologous genes within the same species) or ortholog (homologous genes in different species), were also determined for each of the 49 cloned R genes. Paralogs were further classified as tandem, when a paralog exists within 5 Mb of the cloned R gene, or segmented, when a paralog is >5 Mb away from the cloned gene or the paralog is located on another chromosome [102]. Lastly, genes that were homologous to two or more cloned RGAs were also identified.
2.3. Gene Cluster Analysis
Two types of gene clusters were identified in this study. The first was a homogenous RGA cluster which is defined as a cluster with at least 2 or more (but no more than 8) RGAs of the same class, either NLR, RLK or RLP, located within a 200 kb region on the same chromosome [103,104]. The second was a heterogeneous cluster which refers to clusters containing different classes of RGAs or containing both an RGA and a Non-RGA (for example, a homolog that has not been identified using the RGAugury pipeline).
3. Results
3.1. Distribution of CDRHs
We used the sequences of the 49 cloned R genes to obtain CDRHs across the 7 species (Table 2). A total of 660 CDRHs, including 248 NLRs, 150 RLKs, 33 RLPs and 229 Non-RGAs (genes without RGA-related domains) were identified (Figure 1, Tables S1 and S2). B. juncea contained the highest number of CDRHs with 136, followed by B. carinata with 119, B. napus with 101, B. rapa with 80, B. oleracea and B. nigra with 78, and A. thaliana with 68 (Figure 1). The total CDRHs identified in Brassica polyploids was 356, with an average of 119, while the total CDRHs identified in Brassica diploids was 236, with an average of 79 (Figure 1). On the other hand, A. thaliana contained less CDRHs, 68, in comparison to Brassica species with an average of 99 CDRHs (Figure 1).
The individual sub-genomes of each of the polyploid species contained fewer homologs and RGAs of the cloned genes than their respective A, B and C genome Brassica progenitors. B. napus and B. juncea had 46 CDRHs (30 RGAs, 16 non-RGAs) and 50 CDRHs (17 RGAs, 33 non-RGAs), respectively, while their A sub-genome had 80 CDRHs (52 RGAs, 28 non-RGAs). B. juncea and B. carinata had 73 CDRHs (29 RGAs, 44 non-RGAs) and 50 CDRHs (29 RGAs, 21 non-RGAs), respectively, while their B sub-genome progenitor had 78 CDRHs (59 RGAs, 19 non-RGAs) (Table S2). B. carinata and B. napus had 58 CDRHs (43 RGAs, 15 non-RGAs) and 54 CDRHs (40 RGAs, 14 non-RGAs), respectively, while their C sub-genome progenitor had 78 CDRHs (53 RGAs, 25 non-RGAs) (Table S2).
The total number of CDRHs for each disease was counted in this study. For the bacterial disease, the cloned R genes against Pseudomonas syringae, the causal agent of black leaf spot (BLS) disease, (At_ADR1, At_BAK1, At_FLS2, At_NDR1, At_NRG1a, At_NRG1b, At_PBS1, At_RIN4, At_RLP30, At_RLP32, At_RPM1, At_RPS2, At_RPS4, At_RPS5, At_RRS1, and At_SOBIR1) had the highest number of CDRHs; 239 (153 RGAs, 86 non-RGAs) (Table 3 and Table 4, Table S1). B. napus had the highest number of RGAs related to BLS resistance, 33, followed by 31 and 25 RGAs in B. carinata and B. juncea, respectively. RGAs related to BLS resistance were most observed in the C genome/sub-genome with 49 RGAs, followed by 43 and 42 RGAs in A and B genome/sub-genome, respectively. For the clone R gene At_RLP1 against Xanthomonas spp., the causal agent of black rot (BR), 6 RGAs were only obtained in Brassica C genome (Table S1).
For the fungal disease, the cloned R genes against Leptosphaeria maculans, the causal agent of blackleg (BL) disease, (Bna_MAPk, Bna_LepR3/Rlm2, Bna_Rlm9/4/7, At_RLM1a, At_RLM1b, and At_RLM3), had a total of 165 CDRHs (86 RGAs, 79 non-RGAs) (Table 3 and Table 4, Table S1). Of these, 20 RGAs were found in B. nigra, followed by 16 RGAs in B. carinata (8 in B sub-genome, 7 in C sub-genome, and 1 unplaced) and 15 RGAs in B. juncea (4 in A sub-genome, 9 in B sub-genome, and 2 unplaced). On the other hand, the cloned R genes against Albugo candida, the causal agent of white rust (WR) disease, (Bju_WRR1, At_RAC1, At_WRR4a, At_WRR4b, At_WRR8, At_WRR9 and At_WRR12), 123 CDRHs (102 RGAs, 21 non-RGAs) were identified (Table 3 and Table 4, Table S1). Of these RGAs, 22 were observed in B. napus (13 in the A sub-genome and 8 in the C sub-genome), followed by 19 RGAs in B. rapa (Table S1). A total of 109 CDRHs (95 RGAs, 14 non-RGAs) were identified to be related with cloned R genes against fungal pathogen Hyaloperonospora arabidopsidis, the causal agent of downy mildew (DM) disease, (At_ADR1, NRG1a, NRG1b, At_RLP42, At_RPP1, At_RPP2a, At_RPP2B, At_RPP4, At_RPP5, At_RPP7, At_RPP8, At_RPP13, and At_RPP39) (Table 3 and Table 4, Table S1). Of these, the 27 RGAs obtained in A. thaliana was the highest number of RGAs observed compared to the RGAs in other studied species (Table S1). On the other hand, the cloned R genes against Plasmodiophora brassicae (also a fungus), the causal agent of clubroot (CR) disease, (Bra_Crr1a and cRa/cRb) had a total of 48 CDRHs (38 RGAs) (Table 3 and Table 4, Table S1). B. napus and B. oleracea had the highest counts with 9 RGAs (4 in the A sub-genome and 5 in the C sub-genome) and 8 RGAs, respectively. While B. nigra had 7 RGAs, B. rapa had 6 RGAs (Table S1).
We recorded a total of 75 CDRHs, including 60 RGAs, for the cloned R genes (At_BAK1, At_RLP23, At_RLP30, and At_SOBIR1) against fungal pathogen Sclerotinia sclerotiorum, the causal agent of Sclerotinia stem rot (SSR) disease (Table 3 and Table 4, Table S1). The 22 and 18 RGAs in the C and A genome/sub-genomes of the Brassica species, respectively, were higher compared to that of other genome/sub-genomes and A. thaliana (Table S1). For the cloned R genes against Fusarium oxysporum (also a fungus), the causal agent of Fusarium wilt (FW) disease (Bol_FocBo1, At_RFO1, At_RFO2, and At_RFO3), 50 CDRHs (34 RGAs, 16 non-RGAs) were obtained (Table 3 and Table 4, Table S1). B. carinata with 9 RGAs (4 in the B sub-genome and 5 in the C sub-genome) had the highest number, while B. juncea with 2 RGAs (1 in each B sub-genome and unplaced contigs) had the lowest RGA count across the studied species (Table S1).
The cloned R genes against fungal pathogens Erysiphe cichoracearum the causal agent of powdery mildew (PW) (At_RPW8.1, At_RPW8.2 and At_ADR1) and Botrytis cinerea the causal agent of grey mould (GM) (At_RLP42 and At_RLM3) were observed as having 9 CDRHs (all RGAs) and 5 CDRHs (3 RGAs, 2 non-RGAs), respectively (Table 4 and Table S1). Only the Brassica B and C genomes had RGAs with 3 and 2 genes, respectively for PW resistance (Table S1), while A. thaliana contained all 3 RGAs for GM resistance (Table S1).
3.2. Identification of CDRH Types
This study identified 68 CDRHs that are homologous to more than 1 of the cloned R genes (Table S1). Of these, 12 RGAs were previously identified and functionally characterised disease resistance genes such as At_NRG1a, At_NRG1b, At_RAC1, At_WRR4b, At_WRR9, At_RLM1a, At_RPP4, At_RPP5, At_RPP2a, At_WRR8, Bra_Crr1a, and Bra_cRa/cRb (Table S1). For instance, At_WRR4b, a WR R gene, and At_RLM1b, a BL R gene, were homologous to each other in this study. This was also the case with At_RPP2a, a DM R gene, and Bol_FocBo1, a FW R gene.
For the paralogous CDRHs, a total of 62 paralogs, including 43 tandem (69%) and 18 segmented (31%), were observed to the cloned R genes in A. thaliana (At_ADR1, At_BAK1, At_FLS2, At_NDR1, NRG1a, NRG1b, At_PBS1, At_RAC1, At_RIN4, At_RFO1, At_RFO2, At_RFO3, At_RLM1a, At_RLM1b, At_RLM3, At_RPM1, At_RPP1, At_RPP2a, At_RPP2b, At_RPP4, At_RPP5, At_RPP8, At_RPP13, At_RPP39, At_RPS2, At_RPS4, At_RPS5, At_Rpw8.1, At_Rpw8.2, At_RRS1, At_SOBIR1, At_WRR4a, At_WRR4b, At_WRR8, At_WRR9, and At_WRR12) (Table 3). On the other hand, 23 paralogs, including 19 segmented (83%) and 4 tandem (17%), were observed to the cloned R genes in Brassica species (Bju_WRR1, Bna_MAPk, Bra_Crr1a, Bra_cRa/cRb, Bol_FocBo1, Bna_LepR3/Rlm2, and Bna_Rlm9/4/7) (Table 3).
In terms of RGA domain retention and losses, this study found that 431 and 229 out of 660 CDRHs have retained (as RGA) and lost (as Non-RGA) resistance domains and motifs from the original gene, respectively (Table 3 and Table 4). In some cases, the RGA class of CDRHs tend to be different from their corresponding cloned gene because the RGA domain has been contracted/truncated. For example, At_RPP8 encoding a CNL, had 4 NL and 1 CN CDRHs, while At_WRR8 encoding a TNL, had 1 TN, 1 NL, and 1 NBS CDRHs (Table 3 and Table 4). At_RPP8 and its CDRHs had a common NBS domain, while At_WRR8 and its CDRHs had a common domain of either TIR, NBS or LRR (Table 3 and Table 4). On the other hand, 2 CDRHs did not have a common RGA domain with their homologous cloned R gene. These included Bra_cRa/cRb (TNL) and Bju_WRR1 (CNL), which both had at least one Other-RLK CDRH (Table 3 and Table 4).
3.3. Identifying Clusters of CDRHs across Brassica Crops and Arabidopsis thaliana
The position of CDRHs across chromosomes of each studied species creates an opportunity to determine whether these genes form clusters. This study identified a total of 87 RGA clusters across the seven species, with the highest number of clusters observed in A. thaliana, 21, followed by 14, 13, 12, 11, 9, and 7 clusters in B. carinata, B. napus, B. nigra, B. juncea, B. rapa, and B. oleracea, respectively (Figure 2). B. carinata, B. napus and B. nigra had the highest total number of CDRH RGAs with 78, 71, and 59, respectively, while B. rapa and B. oleracea had the lowest total numbers of CDRH RGAs with 52 and 53, respectively (Table 3).
Across the studied species, 55 homogeneous RGA clusters, including 36 NLR, 16 RLK and 3 RLP homogeneous clusters, were identified (Figure 2). Within the homogeneous cluster, the cloned R genes At_BAK1, Bra_cRa/cRb, At_FLS2, Bna_LepR3/Rlm2, At_NDR1, At_NRG1a, At_NRG1b, At_RFO1, At_RFO2, At_RLM1a, At_RLM1b, At_RPP1, At_RPP2a, At_RPP2b, At_RPP4, At_RPP5, At_RPP39, At_RPS4, At_RRS1, At_WRR4a, At_WRR4b, At_WRR8 and At_WRR9 were observed to form a cluster either to their corresponding tandem paralog/s or to other functionally characterised R gene/s (Table S1). On the other hand, 32 heterogeneous RGA clusters were obtained (Figure 2). Aside from having cluster members with different RGA domains, a different heterogenous cluster with RGA and non-RGA members was observed (Table S1). However, the non-RGA may have a resistance-related function or partial RGA domain structure (missing some of the key domains). For example, in this study, a non-RGA AT3G20590 which is a non-specific disease resistance protein-like gene [105] clustered with the At_NDR1 gene. Furthermore, a non-RGA, B08g104510.1, which is a mitogen-activated protein kinase [91] clustered with NLRs Bo8g104700.1, Bo8g104710.1 and Bo8g104730.1 (Table S1). Finally, the non-RGA BnaA02g24430D, which has an LRR domain [15], clustered with BnaA02g24440D, a LRR-RLP.
4. Discussion
RGAs are the most important genes that need to be discovered and cloned for the improvement of Brassica crop disease resistance. The availability of Brassica genomic resources, along with the model species A. thaliana, and the aid of computational and bioinformatic tools have led to their widespread identification. Across A. thaliana and Brassica species, an approach utilising homology can reveal associations between functionally characterised R genes and RGAs, and how each species’ genetic repertoire differs (for example, RGA and non-RGA content).
The larger number of total CDRHs in Brassica polyploids over Brassica diploids is likely due to polyploidisation [11,14,15]. It has previously been shown that the total number of genes, RGAs and glucosinolate-related genes in Brassica polyploids were higher than in the Brassica diploid/progenitor species [11,101]. The number of DNA transposable elements, a major factor in plant genome expansion [106], was also found to be higher in polyploid B. napus compared to the diploids B. rapa and B. oleracea [107], which could likely be the case for B. carinata and B. juncea when compared to their corresponding diploid progenitors. On the other hand, the fewer counts of CDRHs in Arabidopsis than Brassica species could probably be due to whole genome triplication events which did not happen in ancestral Arabidopsis while it occurred in ancestral Brassica [7,108]. As a result, it is expected that the increased genome size of Brassicas also increased their gene number compared to A. thaliana [11]. Furthermore, Brassica crops undergone long history of extensive breeding to improve disease resistance which may have led to an increase in their RGA content [109].
The fewer RGAs in the individual sub-genomes of the Brassica polyploids compared to their diploid genome progenitor that we found in this study is consistent with the other Brassica RGA studies [11,96,109,110,111,112]. Duplicated disease R genes or RGAs are favourably lost in the sub-genomes of polyploid Brassicas after a duplication event compared to their diploid genome progenitors [109,110,113,114]. This event was also observed in other species such as legumes [115], maize [116,117], and wheat [118]. In B. napus, the loss of RGAs is thought to be a result of homoeologous exchange between the A and C sub-genomes [107,119].
The total number of CDRHs, particularly the RGAs, per disease was also determined. Limited genetic resistance towards BLS, PW, and GM disease has been identified in Brassica species, making the RGAs obtained here a valuable starting point for future studies to explore potential BLS, PW, and GM R genes. For WR, it has been reported that B. rapa and the A sub-genome of B. napus are a good source of resistance [120,121,122]. The majority of markers associated with WR resistance that have been utilised for resistance exploration were also derived from the A-genome [80,123,124,125,126]. For BL, previous investigations showed that B-genome Brassica species have high levels of phenotypic resistance to BL compared to Brassicas containing the A and C genomes, and A. thaliana [127,128,129]. However, the association of phenotypic BL resistance to the identified RGAs in this study is yet to be confirmed. Another, QTL against FW and BR have previously been identified in Brassica C genome/sub-genome [89,130,131,132,133,134].
Among Brassicaceae species, R genes conferring resistance to DM have only been cloned in A. thaliana [63,64,65,66,69,70,71,79], while other R genes and quantitative trait loci (QTL) identified in B. rapa and B. oleracea are yet to be functionally confirmed [135,136,137,138,139]. For CR, recent studies have also shown QTL to be associated with resistance in the A and C genome of Brassica species [140,141,142,143,144]. B. nigra have also been noted with high phenotypic resistance to CR pathotypes in Canada [145], however, the RGAs obtained here need to be functionally verified with phenotypic CR resistance. Lastly, for SSR, Brassica A and C genomes have both been reported to harbour QTL linked to possible resistance against the disease [146,147,148,149].
Our results showed that there are a considerable number of CDRHs throughout Brassica crops and A. thaliana. CDRHs, especially those with resistance domains (RGAs), play important roles in disease resistance responses, and their subsequent application in breeding programs will help to improve disease resistance. However, RGAs are not the only genes that may confer disease resistance in Brassica crops and this is particularly true for diseases whose resistance response is quantitatively controlled, such as SSR [147]. Therefore, the non-RGAs identified in this study may be useful, but still need further analyses and confirmation.
A CDRH can be homologous to more than one cloned R gene because some of the genes may share the same resistance domains. Considerable number of collinear genes were obtained between Arabidopsis and Brassica species as they originated from one ancestral species [11,150]. It is also possible that the homology to one more gene could imply multiple resistance function. The At_RPP8 gene, causing resistance to DM disease, was later found to contain two alleles; HRT and RCY1, which confer resistance to turnip crinkle virus and yellow strain cucumber mosaic virus, respectively [151,152,153]. The At_RRS1 gene, initially associated with the avirulence gene popP2, which triggers resistance against Ralstonia solanacearum [154,155], was later found to also mediate a resistant response against P. syringae and Colletotrichum higginsianum [77]. However, this assumption needs thorough investigation and multiple functional characterisation to be confirmed.
The large number of tandem duplicates or paralogs in A. thaliana over Brassica species is consistent with findings in previous studies [13,156,157]. Tandem duplication may have occurred more frequently in A. thaliana because its ancestors did not undergo whole genome triplication, hence there was no extensive genome fractionation [108]. Conversely, the large number of segmented paralogs in Brassica species over A. thaliana could also be due to genome fractionation and block reshuffling which separated the homologous RGAs during the process of these evolutionary events [108,158]. Segmented paralogs act as gene-buffers in forms of structural variation such as copy number variation (CNV), which has been found abundantly in B. napus and B. oleracea, and is associated with SSR, CR and BL resistance [109,112].
Homology analysis is useful in elucidating gene gains and losses, and verifying retained resistance domains or function of genes [159]. From an ancestral gene, homologs could undergo neofunctionalisation, subfunctionalisation or duplication-degeneration-complementation (DDC), non-functionalisation or pseudogenisation, escape from adaptive conflict (EAC) and other routes involving gene dosage and redundancy [160,161,162,163,164,165,166]. In plants, RGAs are prone to rapid gene expansion during evolutionary events, as well as gene loss and contraction, as they respond to environmental stress such as disease pressure [167,168]. Nevertheless, truncated RGAs such as NL and TN have been cloned and functionally characterised with disease resistance in A. thaliana [53,61,62]. While a NBS gene has been reported as a signalling component in disease resistance [20], genes with TX domains were able to interact with different R and Avr genes to elicit disease resistance in A. thaliana [169,170], and CC domain has been reported as a candidate for the blackleg R genes Rlm1, LepR2, and LepR4 in B. oleracea [171,172,173].
In gene clustering, the greater number of clusters in A. thaliana could possibly be due to its smaller genome size, compared to the Brassica species (Table 2), where the position of the genes or RGAs tend to be closer to each other. However, between Brassica species, the presence of RGAs could be a factor to gene clustering as it was observed in this study that the higher the total number of CDRHs with an RGA domain in each species, the higher the likelihood that these specific RGAs were part of a gene clusters.
Earlier studies have suggested homogeneous gene cluster may have evolved via tandem duplication [174,175]. The existence of tandem paralogs is yet to be functionally confirmed, however, their co-existence with cloned genes in a cluster suggests a “balancing” model in which genetic variation in disease resistance is maintained despite the presence of selection pressure [176]. In previous A. thaliana studies, a NLR Suppressor of Non-expressor of Pathogenesis-Related Genes 1-1, CONSTITUTIVE 1 (SNC1) requires its co-clustered NLR SIDEKICK SNC1 1 (SIKIC1), SIKIC2 and SIKIC3 to mediate defence signalling [177], while the NLRs Chilling Sensitive 1 (CHS1) or TN2 pairs to Suppressors of CHS (CHS1 or CHS2) gene 3 (SOC3) to monitor the homeostasis of Senescence-Associated E3 Ubiquitin Ligase 1 (SAUL1) [178], which is a positive regulator of PTI in plants [179]. Thus, clustering of these RGAs may be maintaining variation in disease resistance but when selection pressure occurs, RGAs could act as either accessory or helper or sensor needed in disease resistance [180,181].
The “birth and death” model could also be the fate of the RGAs in a gene cluster. The “birth and death” model indicates that when a RGA function is overcome by a pathogen, the duplication process facilitates DNA sequence exchanges of homologous genes via cross-over, leading to sequence mispairing, loss of the original sequence, converting the gene, and eventually generating a novel RGA with possible altered pathogen specificities [182]. The emergence of cloned genes At_RPP13 in A. thaliana, Pm3 in wheat, L in flax and elF4E in capsicum was said to follow the “birth and death” model [183,184,185,186]. The same mechanism of “birth and death” has likely occurred within a blackleg resistance gene Bna_Rlm9/4/7 which contains three alleles Rlm9, Rlm4 and Rlm7 on chromosome A07 of B. napus [85,187] because their corresponding avirulence genes have been found to have an epistatic interaction, indicating an evolutionary arms race between the host and pathogen [188,189,190].
For the heterogeneous clusters, this clustering occurs because of random ectopic recombination, chromosomal translocation, gene transposition and co-localisation of the genes [191,192,193]. However, the genes with different domains in a cluster is yet to be functionally confirmed. The same can be said for homogenous clusters, where there is a high chance that the distribution and position of CDRHs is not random; however, this assumption requires further research for confirmation.
5. Conclusions
The identification of RGAs throughout the genome and underlying QTL is one of the breakthroughs that has accelerated disease resistance improvement in crops. While the process of identifying and functionally testing R genes has shortened, QTLs can have numerous candidates which results in time consuming validation. Hence, the use of cloned R gene sequences to search for RGA homologs can provide a basis for narrowing down candidates for functional characterisation.
The findings in this study can also be useful in studying the evolution and mechanisms of resistance in these genes, which can later help to guide appropriate crop methodologies to develop disease resistant and resilient Brassica cultivars. Additionally, gene-specific markers from these specific RGAs can be used as diagnostic markers in determining Brassica lines with disease resistance and possibly explore new QTL not only in Brassica species but in other members of the Brassicaceae family.
A.Y.C. and J.B. conceptualized the paper; A.Y.C. wrote the original draft along with formal analyses; T.X.N., S.T. and W.J.W.T. helped improve the paper by suggesting additional ideas and by thorough revision/editing; P.E.B. analysed the Brassica carinata genes using the RGAugury pipeline; D.E. and J.B. supervised, reviewed, and suggested revisions to the paper. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
The data used in this research is publicly available. The gene sequences can be found at
All authors acknowledge the University of Western Australia Research Training Program economic support during A.Y.C. and W.J.W.T. respective doctoral studies. A.Y.C. and W.J.W.T. would also like to acknowledge the support of the Philippine Rice Research Institute (by granting study-leave) and Grains Research and Development Corporation, respectively.
The authors declare no known competing financial interests or personal relationships that could have influenced the work reported here.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Enlarge this image.Figure 1. Distribution of cloned disease resistance gene homologs (CDRHs) with their resistance gene analogs (RGA) classes/subclasses (CN = coiled-coil (CC)-nucleotide-binding site (NBS), CNL = CC-NBS-leucine rice repeats (LRR), NL = NBS-LRR, TN = Toll/Interleukin-1 receptor (TIR)-LRR, TNL = Toll/Interleukin-1 receptor (TIR)-NBS-LRR, TX = Toll/Interleukin-1 receptor (TIR) with other domains, Other-NLR= NBS-LRR with other domains, LRR-RLK= LRR-receptor-like kinase proteins (RLK), Other-RLK = RLK with other domains, LRR-RLP = LRR-receptor-like proteins) and Non-RGA (CDRHs identified without RGA domain based on the RGAugury pipeline) in Brassica rapa (Bra), B. nigra (Bni), B. oleracea (Bol), B. juncea (Bju), B. napus (Bna), B. carinata (Bca), and Arabidopsis thaliana (At). A, B, C, and U (unplaced) refer to the genome/sub-genome of Brassica species.
Enlarge this image.Figure 2. Distribution of gene clusters of cloned disease resistance homologs in Brassica rapa (Bra), B. nigra (Bni), B. oleracea (Bol), B. juncea (Bju), B. napus (Bna), B. carinata (Bca), and Arabidopsis thaliana (At). NLR is nucleotide-binding site (NBS)- leucine rice repeats (LRR) while an RLK is receptor-like kinase proteins. A, B, and C refer to the genome/sub-genome of Brassica species.
The 49 cloned R genes from Arabidopsis thaliana (At), Brassica juncea (Bju), Brassica napus (Bna) and Brassica rapa (Bra) used for homology searches.
| Gene | RGA Type | Avirulence Gene (Pathogen) | GenBank ID | Source |
|---|---|---|---|---|
| At_ADR1 | RNL | unknown (Hyaloperonospora arabidopsidis F, Erysiphe cichoracearum F, Pseudomonas syringae B) | Q9FW44 U | [ |
| At_BAK1 | LRR-RLK | AvrPto and AvrPtoB |
Q94F62 U | [ |
| At_FLS2 | LRR-RLK | AvrPto1 (P. syringae) | Q9FL28 U | [ |
| At_NDR1 | TM | AvrRpt2 (P. syringae) | O48915 U | [ |
| At_NGR1a | RNL | unknown (Albugo candida F, H. arabidopsidis, and P. syringae) | Q9FKZ1 U | [ |
| At_NGR1b | RNL | Q9FKZ0 U | ||
| At_PBS1 | STK | AvrPphB (P. syringae) | Q9FE20 U | [ |
| At_RAC1 | TNL | unknown (A. candida) | Q6QX58 U | [ |
| At_RIN4 | CC | AvrB, AvrRPM1 and AvrRpt2 (P. syringae) | Q8GYN5 U | [ |
| At_RFO1 | Other-RLK | unknown (Fusarium oxysporum matthioli F) | Q8RY17 U | [ |
| At_RFO2 | LRR-RLP | unknown (F. oxysporum matthioli) | Q9SHI4 U | [ |
| At_RFO3 | Other-RLK | unknown (F. oxysporum matthioli) | Q9LW83 U | [ |
| At_RLM1a | TNL | unknown (Leptosphaeria maculans F) | Q9CAK1 U | [ |
| At_RLM1b | TNL | unknown (L. maculans) | F4I594 U | |
| At_RLM3 | TN | unknown (L. maculans, Botrytis cinerea F, Alternaria brassicicola F and A. brassicae F) | Q9FT77 U | [ |
| At_RLP1 | LRR-RLP | unknown (Xanthomonas spp. B) | Q9LNV9 | [ |
| At_RLP23 | LRR-RLP | unknown but interacts with BAK1/SOBIR1 (S. sclerotiorum) | O48849 | [ |
| At_RLP30 | LRR-RLP | unknown (P. syringae), interacts with Sclerotinia culture filtrate elicitor 1 (SCFE1)/BAK1/SOBIR1 (S. sclerotiorum) | Q9MA83 | [ |
| At_RLP32 | LRR-RLP | unknown but interacts with BAK1/SOBIR1 (P. syringae) | Q9M9X0 | [ |
| At_RLP42 | LRR-RLP | unknown but interacts with SOBIR1 (B.cinerea and H. arabidopsidis) | Q9LJS0 | [ |
| At_RPM1 | NL | AvrRPM1 or AvrB (P. syringae) | Q39214 U | [ |
| At_RPP1 | TNL | ATR1NdWsB (H. arabidopsidis) | F4J339 U | [ |
| At_RPP2a | TNL | unknown but interacts with RPP2b (H. arabidopsidis) | F4JT78 U | [ |
| At_RPP2b | TNL | unknown but interacts with RPP2a (H. arabidopsidis) | F4JT80 U | |
| At_RPP4 | TNL | ATR4 (H. arabidopsidis) | F4JNA9 U | [ |
| At_RPP5 | TNL | ATR5 (H. arabidopsidis) | F4JNB7 U | [ |
| At_RPP7 | NL | unknown (H. arabidopsidis) | Q8W3K0 U | [ |
| At_RPP8 | CNL | AvrRPP8 (H. arabidopsidis) | Q8W4J9 U | [ |
| At_RPP13 | CNL | ATR13 (H. arabidopsidis) | Q9M667 U | [ |
| At_RPP39 | CNL | ATR39-1 (H. arabidopsidis) | H9BPR9 U | [ |
| At_RPS2 | NL | AvrRpt2 (P. syringae) | Q42484 U | [ |
| At_RPS4 | TNL | AvrRPS4 (P. syringae) | Q9XGM3 U | |
| At_RPS5 | TNL | AvrPphB (P. syringae) | O64973 U | [ |
| At_Rpw8.1 | RNL | unknown (E. cichoracearum) | Q9C5Z7 U | [ |
| At_Rpw8.2 | RNL | unknown (E. cichoracearum) | Q9C5Z6 U | |
| At_RRS1 | TNL | AvrRPS4 (P. syringae), popP2 (Ralstonia solanacearum B), unknown (Colletotrichum higginsianum F) | P0DKH5 U | [ |
| At_SOBIR1 | LRR-RLK | unknown but interacts FLS2 (P. syringae), unknown but interacts with BAK1/SOBIR1 (S. sclerotiorum) | Q9SKB2 | [ |
| At_WRR4a | TNL | unknown (A. candida) | Q9C7X0 U | [ |
| At_WRR4b | TNL | unknown (A. candida) | MK034466 N | [ |
| At_WRR8 | TNL | unknown (A. candida) | MK034463 N | |
| At_WRR9 | NL | unknown (A. candida) | MK034464 N | |
| At_WRR12 | TNL | unknown (A. candida) | MK034462 N | |
| Bju_WRR1 | CNL | unknown (A. candida) | A0A5C1IWT6 U | [ |
| Bna_MPK9 | Other-RLK | AvrLm1 (L. maculans) | A0A078IFE9 U | [ |
| Bna_LepR3/Rlm2 | LRR-RLP | AvrLm1 (LepR3) and AvrLm2 (Rlm2) (L. maculans) | I7C3X3 U/ |
[ |
| Bna_Rlm9/4/7 | Other-RLK | AvrLm5-9 (Rlm9) and AvrLm4-7 (Rlm4/7) (L. maculans) | CDX67982.1 N | [ |
| Bra_cRa/cRb | TNL | unknown (Plasmodiophora brassicae F) | M5A8J3 U | [ |
| Bra_Crr1a | TNL | unknown (P. brassicae) | AB605024.1 N | [ |
| Bol_FocBo1 | TNL | unknown (F. oxysporum f. sp. Conglutinans F) | BAQ21734.1 N | [ |
F = fungus, B = bacteria, RGA = resistance gene analog, TNL = Toll/Interleukin-1 receptor (TIR)-nucleotide binding site (NBS)-leucine rich repeats (LRR), TM = transmembrane, STK = Serine/threonine-specific protein kinase, Other-RLK = receptor-like kinase protein with other receptor, LRR-RLP= receptor-like proteins with LRR, TN = TIR-NBS, CNL = coiled-coil (CC)-NBS-LRR, NL = NBS-LRR, RNL = resistance to powdery mildew 8 (Rpw8)-NBS-LRR, U =
Seven Brassicaceae species with their corresponding genome version and size used in this study.
| Species | Genome Version (Size) | Source | |
|---|---|---|---|
| Arabidopsis thaliana | TAIR10 (119 Mbp) | [ |
|
| Brassica carinata | zd-1 v1.0 (1087 Mbp) | [ |
|
| Brassica juncea | Tumida T84-66 v1.5 (937 Mbp) | [ |
|
| Brassica napus | Darmor bzh v4.1 (850 Mbp) | [ |
|
| Brassica nigra | DH YZ12151 (402 Mbp) | [ |
|
| Brassica oleracea | TO100 v2.1 (488 Mbp) | [ |
|
| Brassica rapa | Chiifu-401-42 v3.0 (353 Mbp) | [ |
|
Cloned genes in Brassica crops and Arabidopsis thaliana and their corresponding paralogs (cloned disease R gene homolog type).
| Cloned Gene (RGA Domain) | Paralog | ||||||
|---|---|---|---|---|---|---|---|
| T | S | RGA * | Non-RGA | Total | |||
| Same | Different | ||||||
| Brassica species | Bju_WRR1 (CNL) | 0 | 1 | 0 | 1 TX | 0 | 1 |
| Bna_MAPk (Other-RLK) | 0 | 8 | 0 | 0 | 8 | 8 | |
| Bra_cRa/cRb (TNL) | 3 | 1 | 1 TNL | 1 NL, 2 TX | 0 | 4 | |
| Bra_Crr1a (TNL) | 1 | 2 | 1 TNL | 2 TX | 1 | 3 | |
| Bol_FocBo1 (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| Bna_LepR3/Rlm2 (LRR-RLP) | 0 | 1 | 1 LRR-RLP | 0 | 0 | 1 | |
| Bna_Rlm9/4/7 (Other-RLK) | 0 | 6 | 3 Other-RLK | 0 | 3 | 6 | |
| Total | 4 | 19 | 6 | 6 | 14 | 23 | |
| Arabidopsis thaliana | At_ADR1 (NL) | 0 | 2 | 2 NL | 0 | 0 | 2 |
| At_BAK1 (LRR-RLK) | 0 | 4 | 4 LRR-RLK | 0 | 0 | 4 | |
| At_FLS2 (LRR-RLK) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_NDR1 (TM) | 1 | 0 | 0 | 0 | 1 | 1 | |
| At_NRG1a (RNL) | 1 | 0 | 0 | 1 NL | 0 | 1 | |
| At_NRG1b (RNL) | 1 | 0 | 0 | 1 NL | 0 | 1 | |
| At_PBS1 (STK) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RAC1 (TNL) | 0 | 4 | 3 TNL | 1 TN | 0 | 4 | |
| At_RFO1 (Other-RLK) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RFO2 (LRR-RLP) | 0 | 1 | 0 | 1 LRR-RLK | 0 | 1 | |
| At_RFO3 (Other-RLK) | 0 | 1 | 1 Other-RLK | 0 | 0 | 1 | |
| At_RIN4 (CC) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RLM1a (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RLM1b (TNL) | 5 | 2 | 6 TNL | 1 NL | 0 | 7 | |
| At_RLM3 (TN) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RPM1 (NL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RLP1 (LRR-RLP) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RLP23 (LRR-RLP) | 3 | 0 | 3 LRR-RLP | 0 | 0 | 3 | |
| At_RLP30 (LRR-RLP) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RLP32 (LRR-RLP) | 0 | 1 | 1 LRR-RLP | 0 | 0 | 1 | |
| At_RLP42 (LRR-RLP) | 3 | 0 | 3 LRR-RLP | 0 | 0 | 3 | |
| At_RPP1 (TNL) | 3 | 3 | 5 TNL | 1 TX | 0 | 6 | |
| At_RPP2a (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RPP2b (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RPP4 (TNL) | 6 | 0 | 5 TNL | 1 Other-NLR | 0 | 6 | |
| At_RPP5 (TNL) | 7 | 0 | 5 TNL | 1 Other-NLR | 1 | 7 | |
| At_RPP5 (NL) | 4 | 0 | 0 | 4 CNL | 0 | 4 | |
| At_RPP8 (CNL) | 2 | 0 | 2 CNL | 0 | 0 | 2 | |
| At_RPP13 (CNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RPP39 (CNL) | 3 | 0 | 2 CNL | 1 NL | 0 | 3 | |
| At_RPS2 (NL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RPS4 (TNL) | 1 | 0 | 1 TNL | 0 | 0 | 1 | |
| At_RPS5 (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_Rpw8.1 (RNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_Rpw8.2 (RNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_RRS1 (TNL) | 1 | 0 | 0 | 1 NL | 0 | 1 | |
| At_SOBIR1 (LRR-RLK) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_WRR4a (TNL) | 1 | 0 | 1 TNL | 0 | 0 | 1 | |
| At_WRR4b (TNL) | 0 | 0 | 0 | 0 | 0 | 0 | |
| At_WRR8 (TNL) | 3 | 1 | 3 TNL | 1 TN | 0 | 4 | |
| At_WRR9 (NL) | 0 | 1 | 0 | 0 | 1 | 1 | |
| At_WRR12 (TNL) | 0 | 1 | 1 TNL | 0 | 0 | 1 | |
| Total | 43 | 22 | 49 | 13 | 3 | 65 | |
T = Tandem, S = Segmented, Bju = Brassica juncea, Bol = Brassica oleracea, Bra = Brassica rapa, Bna = Brassica napus, * Resistance gene analogs (RGA) domain in comparison to the cloned gene. CN = coiled-coil (CC)-nucleotide-binding site (NBS), CNL = CC-NBS-leucine rice repeats (LRR), NL = NBS-LRR, TN = Toll/Interleukin-1 receptor (TIR)-LRR, TNL = Toll/Interleukin-1 receptor (TIR)-NBS-LRR, TX = Toll/Interleukin-1 receptor (TIR) with other domains, Other-NLR = NBS-LRR with other domains, RNL = resistance to powdery mildew 8 (Rpw8)-NBS-LRR, LRR-RLK = LRR-receptor-like kinase proteins (RLK), STK = Serine/threonine-specific protein kinase, Other-RLK= RLK with other domains, LRR-RLP = LRR-receptor-like proteins, TM = transmembrane, Non-RGA = Homologs identified without RGA domain based on the RGAugury pipeline.
Cloned genes in Brassica crops and Arabidopsis thaliana and their corresponding orthologs (cloned disease R gene homolog type).
| Cloned Gene (RGA Domain) | Ortholog | ||||
|---|---|---|---|---|---|
| RGA * | Non-RGA | Total | |||
| Same | Different | ||||
| Brassica species | Bju_WRR1 (CNL) | 14 CNL | 12 NL, 3 CN, 1 Other-RLK | 16 | 46 |
| Bna_MAPk (Other-RLK) | 1 Other-RLK | 0 | 31 | 32 | |
| Bra_cRa/cRb (TNL) | 9 TNL | 4 Other-NLR, 12 TN, 1 Other-RLK, 3 TX | 1 | 19 | |
| Bra_Crr1a (TNL) | 9 TNL | 1 NL, 1 Other-NLR, 1 CNL, 2 TX | 8 | 22 | |
| Bol_FocBo1 (TNL) | 7 TNL | 1 Other-NLR, 1 TN, 1 TX | 5 | 15 | |
| Bna_LepR3/Rlm2 (LRR-RLP) | 4 LRR-RLP | 0 | 3 | 7 | |
| Bna_Rlm9/4/7 (Other-RLK) | 56 Other-RLK | 0 | 28 | 84 | |
| Total | 100 | 94 | 94 | 229 | |
| Arabidopsis thaliana | At_ADR1 (NL) | 2 NL | 3 CNL | 0 | 5 |
| At_BAK1 (LRR-RLK) | 30 LRR-RLK | 0 | 11 | 41 | |
| At_FLS2 (LRR-RLK) | 13 LRR-RLK | 1 LRR-RLP | 5 | 19 | |
| At_NDR1 (TM) | 0 | 0 | 22 | 22 | |
| At_NRG1a (RNL) | 0 | 6 CNL, 1 LRR-RLP, 1 NBS, 17 NL | 4 | 29 | |
| At_NRG1b (RNL) | 0 | 8 CNL, 1 LRR-RLP, 1 NBS, 16 NL | 4 | 29 | |
| At_PBS1 (STK) | 0 | 1 NL | 36 | 37 | |
| At_RAC1 (TNL) | 0 | 1 NBS | 0 | 1 | |
| At_RFO1 (Other-RLK) | 2 Other-RLK | 0 | 1 | 3 | |
| At_RFO2 (LRR-RLP) | 4 LRR-RLP | 0 | 3 | 7 | |
| At_RFO3 (Other-RLK) | 15 Other-RLK | 1 Other-NLR | 6 | 22 | |
| At_RIN4 (CC) | 0 | 0 | 0 | 0 | |
| At_RLM1a (TNL) | 0 | 0 | 0 | 0 | |
| At_RLM1b (TNL) | 9 TNL | 3 NL, 1 Other-NLR, 2 TN, 1 TX | 6 | 22 | |
| At_RLM3 (TN) | 0 | 0 | 0 | 0 | |
| At_RPM1 (NL) | 4 NL | 1 NBS | 5 | 10 | |
| At_RLP1 (LRR-RLP) | 7 LRR-RLP | 0 | 4 | 11 | |
| At_RLP23 (LRR-RLP) | 0 | 0 | 2 | 2 | |
| At_RLP30 (LRR-RLP) | 0 | 0 | 0 | 0 | |
| At_RLP32 (LRR-RLP) | 4 LRR-RLP | 0 | 2 | 6 | |
| At_RLP42 (LRR-RLP) | 0 | 0 | 2 | 2 | |
| At_RPP1 (TNL) | 0 | 0 | 0 | 0 | |
| At_RPP2a (TNL) | 6 TNL | 1 NBS | 2 | 9 | |
| At_RPP2b (TNL) | 6 TNL | 1 NBS | 4 | 11 | |
| At_RPP4 (TNL) | 0 | 0 | 0 | 0 | |
| At_RPP5 (TNL) | 1 TNL | 0 | 0 | 1 | |
| At_RPP5 (NL) | 0 | 0 | 0 | 0 | |
| At_RPP8 (CNL) | 0 | 4 NL, 1 CN | 0 | 5 | |
| At_RPP13 (CNL) | 1 CNL | 2 CN, 2 NBS, 1 NL | 3 | 9 | |
| At_RPP39 (CNL) | 1 CNL | 1 CN | 0 | 2 | |
| At_RPS2 (NL) | 2 NL | 7 CNL, 1 LRR-RLK | 1 | 11 | |
| At_RPS4 (TNL) | 6 TNL | 1 NL, 1 TN, 1 LRR-RLP | 2 | 11 | |
| At_RPS5 (TNL) | 0 | 0 | 0 | 0 | |
| At_Rpw8.1 (RNL) | 0 | 0 | 0 | 0 | |
| At_Rpw8.2 (RNL) | 0 | 0 | 0 | 0 | |
| At_RRS1 (TNL) | 1 TNL | 2 NL | 0 | 3 | |
| At_SOBIR1 (LRR-RLK) | 21 LRR-RLK | 2 LRR-RLP | 2 | 23 | |
| At_WRR4a (TNL) | 0 | 0 | 0 | 0 | |
| At_WRR4b (TNL) | 0 | 0 | 0 | 0 | |
| At_WRR8 (TNL) | 0 | 1 NL, 1 NBS | 0 | 2 | |
| At_WRR9 (NL) | 0 | 0 | 0 | 0 | |
| At_WRR12 (TNL) | 7 TNL | 5 Other-NLR, 3 NBS, 3 NL, 1 TN, 3 TX, 1 LRR-RLP | 1 | 24 | |
| Total | 144 | 61 | 120 | 323 | |
T = Tandem, S = Segmented, Bju = Brassica juncea, Bol = Brassica oleracea, Bra = Brassica rapa, Bna = Brassica napus, * Resistance gene analogs (RGA) domain in comparison to the cloned gene. CN = coiled-coil (CC)-nucleotide-binding site (NBS), CNL = CC-NBS-leucine rice repeats (LRR), NL = NBS-LRR, TN = Toll/Interleukin-1 receptor (TIR)-LRR, TNL = Toll/Interleukin-1 receptor (TIR)-NBS-LRR, TX = Toll/Interleukin-1 receptor (TIR) with other domains, Other-NLR = NBS-LRR with other domains, RNL = resistance to powdery mildew 8 (Rpw8)-NBS-LRR, LRR-RLK = LRR-receptor-like kinase proteins (RLK), STK = Serine/threonine-specific protein kinase, Other-RLK = RLK with other domains, LRR-RLP = LRR-receptor-like proteins, TM = transmembrane, Non-RGA = Homologs identified without RGA domain based on the RGAugury pipeline.
Supplementary Materials
The following supporting information can be downloaded at:
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; Neik, Ting X 2
; Tirnaz, Soodeh 1
; Thomas, William J W 1
; Bayer, Philipp E 1
; Edwards, David 1
; Batley, Jacqueline 1
1 School of Biological Sciences, The University of Western Australia, Perth 6009, Australia;
2 Sunway College Kuala Lumpur, Bandar Sunway 47500, Selangor, Malaysia;