1. Introduction
Potato (Solanum tuberosum), the world’s fourth most important food crop, after maize, wheat and rice, is highly adaptable and produces high yields. However, potato diseases, especially viruses, severely decrease the production of potatoes. Potato virus Y (PVY) is one of the most widespread viruses infecting potatoes and is responsible for severe economic losses. PVY is responsible for yield losses of up to 80%, and also negatively affects tuber quality [1]. Breeding cultivars resistant to PVY provides the most straightforward and economical solution to prevent the damage caused by PVY [2]. The R genes can provide durable and extreme resistance to PVY, and thus can be used for breeding resistance to PVY. In the same way as other RNA viruses, the genetic diversity of PVY is rich because of high rates of evolution and mutation, resulting in diverse and complex strains [3]. PVY consists of five non-recombinant strains (PVYO, PVYC, PVYN, PVYZ, PVYE) and many recombinant genotypes, such as PVYN:O and PVYNTN [4]. In recent years, recombinant-like strains, such as PVYNTN, were reported to cause tuber necrotic ringspot disease and were extensively studied worldwide [5].
The potato plants may exhibit compatible or incompatible interactions with the virus. Both the sensitive and tolerant potato plants are susceptible to PVY. The susceptibility leads to the virus replicating and spreading throughout the plant in a compatible interaction. After accumulating large amounts of virus, the sensitive potatoes show signs of disease. In contrast, the resistant potatoes exhibit no or only very mild symptoms. The three types of virus resistance that result from incompatible interactions are extreme resistance (ER), hypersensitive resistance (HR) and susceptibility genes (S-genes)-conferred resistance. The ER and HR are dominant resistance while the S-genes-conferred resistance is recessive [6].
The potatoes with dominant resistance to PVY are easy to uncover, maintain and are more popular in breeding programs. Although the 10 PVY-dominant resistance genes were localized to individual chromosomes, only a small percentage of the genes were cloned and studied at the DNA sequence level [2]. The hypersensitivity-type resistance genes include Ny-1 [7] and Ny-Smira [8] on Chromosome IX, Ny-2 [9] on Chromosome XI and Nytbr [10] and Nyspl [11] on Chromosome IV. The five extreme resistance genes that were mapped are Ryadg [12] and Rysto (XI) [13] on Chromosome XI, Rysto [14] and Ry-fsto [15] genes on the short arm of chromosome XII and Rychc [16] on Chromosome IX. So far, only one gene, Rysto, with extreme resistance to PVY, was cloned from the wild relative, S. stoloniferum. They found that the EDS1-SAG101-NRG1 node is required to execute the Rysto-initiated immunity. In plants, Rysto interacts directly with PVY CP and the correct folding of the CP pore is essential for interactions. The Rysto can recognize the CPs of a minimum of 10 important viruses with a similar core region and enable Solanaceae and Brassicaceae resistance against the plum pox virus and turnip mosaic virus [2,17]. The Rychc on Chromosome IX from the wild species S. chacoense has not been cloned.
A study demonstrated that most of the NBS-LRR genes are organized as tight and complex clusters in the genome. The clustering may contribute to the rapid evolution of R genes in the plant genome by facilitating the recombination of homologous genes [18]. Previous work on R-genes in lettuce, rice and Solanaceae species indicates that the particular R-genes can be divided into two types, Type I and Type II resistance genes [19,20,21]. Type I resistance genes are characterized by high frequency sequence exchanges, obscured orthologous relationships and high non-synonymous to synonymous substitutions (Ka/Ks) between or within a species. In contrast, the type II resistance genes are characterized by a rather slow rate of evolution and rare sequence exchanges. However, the copy number variation and the evolutionary patterns present within the Rychc locus remain unclear.
The phenotypic evaluation of the breeding process for PVY resistance is a time intensive process, because this process depends on phenotypic characterization experiments that usually require PVY virus inoculation, or take place in the field under high disease pressure conditions. The molecular markers that can indicate the phenotype of plants provide a good solution to this problem, because they are stable, can be used regardless of the season and environment and do not require viral inoculation and identification.
In this study, we report on the map-based cloning of the Rychc gene, using a diploid population that was segregating for resistance to PVY. We prepared this population by crossing the PVY-resistant S. chacoense accession 40-3 with the PVY-susceptible S. berthaultii accession 143-6. We used the Infinium 8303 Potato SNP array to identify the SNPs linked to the Rychc gene in the F1 population. Utilizing high-density genetic mapping, we localized the gene to a small region at the distal end of chromosome 9. We demonstrated that Rychc encodes a TIR-NLR protein using a map-based cloning strategy and that Rychc confers extreme resistance to PVY in the diploid potato cultivar AC142, and the tetraploid potato variety E3. The identification of Rychc provides unique genetic resources for the study of PVY resistance and PVY-resistance breeding. To further understand the origin and evolutionary history of this locus, we sequenced many DNA fragments encoding the NBS and LRR domain of Rychc from 13 S. chacoense genotypes. These data indicate a Type I evolutionary pattern for Rychc, which is characterized by large variations in copy number, frequent sequence exchanges and high Ka/Ks values, especially in the region encoding the LRR domain. We also produced a gene marker named MG64-17 that is useful for marker-assisted selection to accelerate the breeding process of PVY resistance in the breeding programs that use S. chacoense as a source of PVY resistance.
2. Materials and Methods
2.1. Plant Material and Phenotypic Characterization
A diploid population that is known as a pseudo-testcross and that consisted of 3711 F1 plants was developed by crossing a wild diploid S. chacoense accession 40-3 (accession PI 320285) female with a wild diploid S. berthaultii accession 143-6 (accession PI 558129) male. The two parental lines used in the study differed in their responses to PVY. The S. chacoense accession 40-3 is resistant to PVY. In contrast, the S. berthaultii accession 143-6 is susceptible to PVY. A total of 175 plants were tested for their response to PVY and were used for the gene mapping. Additionally, 3536 plants were screened for close recombinants that were used for the fine mapping of the Rychc gene. The phenotype of the close recombinants was also tested. Each genotype that was used for phenotypic identification was represented by eight plants.
The PVYO strain was activated in tobacco that grew to the six-leaf stage and was found to not have other viruses. After the activation of the PVYO strain was completed, it was inoculated mechanically, using an airbrush set (Paasche model H airbrush; Chicago, IL, USA). Five leaves from the different shoots on the top of the plants were sampled to test for the presence of PVY, using RT-PCR at two weeks after inoculation. Four weeks later, the same method was used to collect tissue for the ELISAs. The plants that tested negatively with the ELISAs were re-inoculated. Four weeks later, the ELISAs were performed again. The PVYO was detected, using the double-antibody sandwich method (DAS-ELISA), as described previously [22].
2.2. SNP Array Development and SNP Genotyping
A total of 142 plants with stable phenotypes were selected for the DNA extraction, using a modified cetyltrimethylammonium bromide (CTAB) method and stored at −20 °C prior to array genotyping. The DNA concentration was adjusted to 50 ng/µL. We genotyped 142 F1 plants on an Illumina iScan Reader, utilizing the Infinium 8303 Potato Array (Illumina Inc., San Diego, CA). We analyzed the results using the Illumina GenomeStudio software (Illumina, San Diego, CA) [23].
2.3. Map Construction and Linkage Mapping
Prior to mapping, the SNPs with incorrect or missing genotypes and low-quality SNPs in the parental lines and F1 were removed. The progeny with more than 17 (12%) missing genotypes were also deleted. The remaining SNP markers were used for linkage analysis. The genetic map was constructed using JoinMap4.0 (Kyazma, Wageningen, The Netherlands) [24]. The population types considered for the segregation analysis were type 1 lm × ll, locus heterozygous in the first parent S. chacoense accession 40-3 (P1), two or three alleles; type 2 nn × np, locus heterozygous in the second parent S. berthaultii accession 143-6 (P2), two or three alleles; type 3 hk × hk, locus heterozygous in two parents S. chacoense accession 40-3 (P1) and S. berthaultii accession 143-6 (P2), three or four alleles. We chose regression mapping with Haldane’s function as a calculation option, and constructed the linkage groups with a LOD score from 3 to 10. The visualization of the paternal and maternal genetic linkage mapping was achieved using the MapChart V2.3 (Wageningen University and Research, Wageningen, The Netherlands) [25]. The markers linked to Rychc were identified from the statistically significant differences in the distribution of the number of resistant plants from the two different genotypes, which was calculated with a t-test.
2.4. Development of Molecular Markers
Based on the DM1-3 reference genome sequence (PGSC v4.03), pseudomolecules and BAC sequence of the S. chacoense accession 40-3 [26,27], we designed the PCR-based DNA markers using the Primer Premier 5.0 software (PREMIER Biosoft International, San Francisco, CA, USA). A total of 20 PVY-resistant progeny and 20 PVY-sensitive progeny from a population of 175 individual plants were selected for constructing a resistant pool (R-pool) and a susceptible pool (S-pool). The PCR-based markers that indicated the polymorphisms between the R-pool and the S-pool were used to genotype the F1 progeny from the S. chacoense accession 40-3 × S. berthaultii accession 143-6 cross. All of the tightly linked markers are listed in Table S1 (Supplementary Materials). The PCRs were performed in 20 μL volumes. The reaction mixtures included 1 μL of genomic DNA (50 ng/μL), 10 μL of 2 × UTaq PCR MasterMix (Beijing Zoman biotechnology Co,. Ltd., Beijing, China), 1 μL each of the forward and reverse primers (10 mM), and 7 μL of the double distilled water. The PCR conditions were as follows: denaturation at 94 °C for 3 min; 36 cycles of denaturation at 94 °C for 30 s, annealing at 54 °C for 30 s, extension at 72 °C for 30 s; a final extension at 72 °C for 10 min, and cooling to 12 °C. All of the PCR products were analyzed using 40% polyacrylamide gel electrophoresis.
2.5. BAC Library Construction, Screening and Sequencing
A Bacterial Artificial Chromosome library (EIGHTSTAR BIO-TECH, Wuhan, China) was constructed, using the PVY-resistant parent S. chacoense accession 40-3. The 74,880 BAC clones were stored in a total of 195 384-well plates. The average insert size was approximately 130 kb. All of the clones on the 384-well plates were mixed into a super pool, yielding 195 super pools. The target super pools were screened from the 195 target mixed pools, using the left flank of the closely linked markers (M2526, M28, M71-20, M71-21-1 and M71-28-3) and the right flank markers (SNP48, M4950 and M50). All of the clones in each row and each column of each target super pool were mixed into a row and column pool. The corresponding markers were used to locate the target clones. The positive BAC clone plasmids for sequencing were purified, using the QIAGEN Large-Construct Kit (Qiagen, Hamburg, Germany). The sequencing was entirely performed using the PacBio RS II sequencing platform, and then assembled into one contig. Then, the 71-24H and 74-24B were sequenced by Personalbio Biotechnology Co., Ltd. (Shanghai, China), 100-8O by EIGHTSTAR BIO-TECH (Wuhan, China) and 64-14E by Frasergen Information Co. (Wuhan, China).
2.6. Recombinants and High-Density Genetic Map for Rychc
The initial flanking random DNA markers, M4 and M32, were selected to screen the recombinants among the 1078 F1 individuals. Then, M28 and M50 were subsequently used to screen the recombinants among the 2458 F1 individuals. The phenotypic identification of the recombinants was the same as described for the population. Chi-squared (χ2) tests for goodness of fit were performed to determine the agreement of the observed frequencies of the genotypes with the theoretical Mendelian separation ratios. JoinMap4.0 (Kyazma, Wageningen, The Netherlands) was used with default parameters to construct a high-density genetic map. The linkage to Rychc was determined using the Kosambi mapping and a LOD score of 3.0 as a threshold [24]. The genetic linkage map was drawn with the software Mapchart V2.3 (Wageningen University and Research, Wageningen, The Netherlands) [25]. The start and end positions of each marker were averaged for assigning their physical location in the genome.
2.7. Potato Transformation
The sequences of the candidate Rychc genes C3 and C4 were amplified from BAC64-14E with the Phanta Super-Fidelity DNA Polymerase (Vazyme, Nanjing, China), following the manufacturer’s recommendations. To generate OAC-C3 and OAC-C4 transgenic plants, 3940-bp and 4167-bp DNA fragments from the start codon to the stop codon were cloned into pBI121, which contains a 35S promoter. The pBI121 was digested with XbaI and SacI, using the ClonExpress® II One Step Cloning Kit (Vazyme, Nanjing, China), according to the manufacturer’s instructions. Three vectors were introduced into the Agrobacterium tumefaciens strain GV3101, using the heat shock method, which were then used to transform the AC142. A 8940-bp genomic DNA fragment containing all of the exons and introns of C4, a 3752-bp promoter sequence, a 1015-bp downstream region and a Sal I site between the promoter and start codon was cloned into pBI121 and digested with HindIII and SacI, using the ClonExpress® II One Step Cloning Kit (Vazyme, Nanjing, China), according to the manufacturer’s instructions. This vector was introduced into the Agrobacterium tumefaciens strain GV3101 and used to transform the tetraploid potato variety E3, using an Agrobacterium-mediated transformation method [28]. All of the primers used for amplification during the Agrobacterium-mediated transformation procedure are listed in Table S2 (Supplementary Materials).
2.8. RNA Extraction and RT-qPCR
The total RNA was extracted using a Plant Total RNA Kit (ZOMANBIO, ZP405-1, Beijing, China), according to the manufacturers’ instructions. The first-strand cDNA was synthesized using a five × All-In-One RT MasterMix (with AccuRT Genomic DNA Removal Kit) Reverse Transcription Kit (Applied Biological Materials Inc., Richmond, Canada). The gene and PVY expression was quantified by RT-qPCR using a LightCycler 480 II (Roche Diagnostics, IN, USA) and EvaGreen two × qPCR Master Mix (Applied Biological Materials, Vancouver, Canada). The potato Ef1a gene was used as an internal control for the data normalization [29]. The expression levels of the genes were calculated using the 2−ΔCq method described by Bio-Rad (Hercules, CA, USA). All of the primers used for RT-qPCR analysis are listed in Table S2 (Supplementary Materials).
2.9. Phylogenetic Analysis
The specific primers were designed to amplify the paralogs of Rychc from two resistant wild accessions of S. chacoense and two susceptible wild accessions of S. chacoense. Based on the four Rychc homologs from the four wild accessions of S. chacoense, the conserved primers were designed to amplify the Rychc gene fragments from the genomic DNA of S. chacoense accession 40-3, the resistant parent and 12 additional S. chacoense genotypes. Three independent reactions were performed for each genotype. The groups of six additional clones were sequenced using the conserved primer, until there were no singletons. One clone from each group of identical sequences in each genotype was then sequenced. The clones of the fragments were named to reflect their genotypes. The last digit indicates the number of the clone. The letter or number before the last digit is an abbreviation of the species name. The conserved NBS and LRR motifs were predicted using the Pfam database (
The putative genomic fragments from each wild accession of S. chacoense were aligned, using MAFFT with default parameters [30]. The nucleotide identity between the two sequences was calculated using BioEdit. The phylogenetic trees were generated with MEGA X, first using the Neighbor-joining statistical method with 1,000 bootstrap replicates [31]. We then used FastTree with the Jukes–Cantor model to construct the ML phylogenetic tree [32]. All of the trees were exported as improvable graphs online by iTOL [33].
The nucleotide coding sequences (CDSs) of all of the genomic fragments were predicted using the Fgenesh database from Softberry (
3. Results
3.1. Construction of a High-Density Intraspecific SNP Map for Potato
To clone an R gene, named Rychc, we constructed a segregating population of diploids by crossing the PVY-resistant S. chacoense accession 40-3 with the PVY-susceptible S. berthaultii accession 143-6. In the F1 generation, 91 individuals were resistant to PVY and 84 were susceptible. These data are consistent with the resistance phenotype segregating in a 1:1 ratio (χ2 = 0.206 p = 0.65), and with a single dominant gene conferring resistance to PVY in this population, which is consistent with previous studies [16]. We used the Infinium 8303 Potato SNP array to find the SNPs linked to the Rychc gene in the F1 population, which contained 142 individuals. The array-based genotypic results showed that a total of 8282 SNPs were scored with normal signals among the 142 S. chacoense accession 40-3 × S. berthaultii accession 143-6 F1 individuals. After removing the SNPs with incorrect or missing genotypes in the parental lines and the F1 samples, the remaining 304 SNPs were used to construct a genetic map. Consequently, a genetic map that consists of 237 SNP markers in 160 recombination bins was constructed, with an average bin interval of 5.74 cM. This CB-SNP map was 918.82 cM and consisted of 12 linkage groups (Figure 1; Table S3, Supplementary Materials).
Among the remaining 237 SNP markers included in the CB-SNP map, six SNPs that are located on the distal end of chromosome 9 were identified as significantly correlated with the Rychc gene (Table S4, Supplementary Materials). Based on these SNPs and the recombinant A128, we mapped Rychc to a 2.4-Mb region on chromosome 9 (PGSC v4.03) (Figure 2a).
3.2. Map-Based Cloning of Rychc
Using Primer Premier 5.0, we developed 431 random PCR-based markers in the genes that were predicted using the software from SoftBerry (
To further narrow the Rychc region, the flanking markers M28 and M50 were used for genotyping a fine-mapping population composed of 2,458 F1 offspring from the S. chacoense accession 40-3 × S. berthaultii accession 143-6 cross. Five close recombinants were identified, namely Re1, Re2, Re3, Re4 and Re5. We inoculated all of the five plants with PVYO-FL and found that, although Re1 and Re2 were susceptible to PVY, the other plants were resistant (Table S5, Supplementary Materials). Using these five new recombinants and recombinant A99, we narrowed the Rychc gene to a 107,664-bp interval (PGSC v4.03) between M28 and SNP48 (Figure 2b). However, no linkage markers were developed between M28 and SNP48, probably due to the many sequence differences between the reference genome and the disease-resistant parent, or possibly because of the poor quality of the reference genome sequence in this region, which contains a total of six gaps in this region.
To solve the problem of the reference genome, a BAC library with approximately 10-fold coverage of the potato genome was constructed, using the resistant parent S. chacoense accession 40-3. The left-flanking markers M2526 and M28 and the right-flanking markers SNP48, M4950 and M50 were used to screen the BAC library, and eight positive BAC clones were obtained, which we named 71-24H, 74-24B, 100-8O, 114-11B, 133-21L, 164-22I, 170-20H and 170-20I. Three of the BAC clones (71-24H, 74-24B and 100-8O) that provide the most coverage of the fine mapping region were selected for sequencing. A total of 32 pairs of random DNA markers were designed, using the newly sequenced BAC sequences, and three pairs of markers named M71-20, M71-21-1 and M71-28-3, were linked to Rychc. However, since this group of BAC clones did not completely cover the entire region, we used marker M71-28-3 to identify more of the BAC clones. Three BAC clones, named 64-14E, 96 and 147, were identified. The clone 64-14E was sequenced. The sequence demonstrated that all three of the sequenced BAC clones failed to completely cover the fine mapping interval. The primers were designed using the disease-susceptible BAC clone 100-8O. The missing part of the interval containing the locus was amplified and sequenced. The final assembly result showed that the physical distance between M28 and SNP48 was 174,054 bp (Figure 2c).
After obtaining the sequence of the fine mapping interval from S. chacoense accession 40-3, we subsequently developed six pairs of polymorphic markers that were tightly linked to the resistant phenotype and, therefore, allowed us to map Rychc to a 27,273-bp interval between M71-28-3 and M64-17 using the recombinants P86 and A99 (Figure 2c). The sequence analysis of this interval, using FGENESH on the Softberry website, predicted a total of six genes in the region. The conserved structural domains of the proteins encoded by the genes in this interval were predicted using the Conserved Domain database on the NCBI website. Based on these data, the gene we named C2 (Candidate 2) encodes an oxidoreductase, the genes we named C3 and C4 encode TIR-NLR class proteins, and the genes we named C1, C5 and C6 encode proteins with no conserved domains (Figure 2d; Table S6, Supplementary Materials).
3.3. C4 Is Rychc and Is Responsible for PVY Resistance
Most of the R genes identified so far are NBS-LRR-type resistance genes that encode the proteins containing a nucleotide binding domain (NBD) and a leucine-rich repeat (LRR) domain. Therefore, we focused on C3 and C4, which encode the TIR-NBS-LRR proteins. The full-length genomic sequences were amplified from BAC64E14 and using homologous recombination, were cloned into pBI121, which contains a CaMV 35S promoter. The susceptible diploid potato cultivar AC142 was separately transformed with each candidate gene using the Agrobacterium-mediated genetic transformation. Three stable transgenic plants were obtained for each candidate gene, respectively (Figure S1, Supplementary Materials). The transgenic plants were inoculated with PVYO-FL. Approximately one month after inoculation, the non-inoculated leaves of AC142 and the transgenic plants harboring the C3 gene became severely wrinkled and mottled. In contrast, we observed no symptoms of PVYO-FL infection in the non-inoculated leaves of the transgenic plants harboring the C4 gene (Figure 3). Two weeks later, the virus was detected in the plants using a RT-qPCR-based assay (Figure 4a). Four weeks later, the virus was detected using ELISA (Figure 4c). We found that following inoculation, the virus did not replicate or spread in the transgenic lines containing the C4 candidate gene. In contrast, we found that large amounts of virus accumulated in the transgenic plants containing the C3 gene. Indeed, the AC142 and transgenic plants that contained the C3 gene accumulated similar amounts of virus (Figure S2, Supplementary Materials).
To further study the resistance phenotype, the PVY-sensitive tetraploid potato variety E3 was transformed with Rychc, including 3,752 bp of upstream sequence and 1,015 bp of the downstream sequence. After inoculating with PVYO, the data from the RT-qPCR assay (Figure 4b) and ELISA (Figure 4d) indicated that the virus did not accumulate in the systemic leaves of the transgenic lines. Approximately one month after inoculation with PVYO, the leaves of the E3 plants developed a mosaic pattern and appeared crimpled. In contrast, none of the transgenic plants developed any symptoms (Figure S3, Supplementary Materials). These results indicate that C4 confers a resistance to PVYO-FL in both the AC142 and E3. Moreover, the data indicate that the C4 candidate gene is the PVY resistance gene, named Rychc.
3.4. Rychc Expression Restricts Systemic Spread of a Range of PVY Strains
To test whether Rychc was resistant to different PVY strains, the transgenic plants harboring Rychc and derived from AC142 and E3, including OAC-C4-1, OAC-C4-2, OAC-C4-3 and OE3-C4-1, OE3-C4-2 and OE3-C4-3 were inoculated with PVYN:O and PVYNTN. Two weeks after inoculation with the virus, we tested whether the virus was present in the top non-inoculated leaves of the plants, using qPCR. We found that the transgenic plants were similar to the S. chacoense accession 40-3 (i.e., the resistant parent) in that neither of the two viruses accumulated. In contrast, both of the viruses accumulated significantly in AC142 and E3 (Figure 5a,b). The data from the analysis of the top non-inoculated leaves at four weeks after inoculation using ELISAs were the same as the results of the qPCR assays (Figure 5c,d). The virus did not spread in either the transgenic plants or in the S. chacoense accession 40-3. In contrast, the two different viruses caused systemic infection in AC142 and E3. These data demonstrate that the plants harboring Rychc were resistant to both the PVYN:O and PVYNTN. The results demonstrate that Rychc is not dependent on specific genotypes of potato to provide resistance to PVY.
3.5. Evolution of the Rychc Locus
To study the evolutionary pattern of Rychc in additional wild accessions of S. chacoense, we first conducted a phenotypic identification of the 12 accessions of S. chacoense. We found that 6 of the 12 accessions were resistant to PVY and that the remaining six accessions were susceptible (Figure 6c). The Rychc gene encodes TIR-NBS-LRR proteins with a total number of 13 LRRs (Figure 6a). We used primers specific to the Rychc gene to amplify paralogs of Rychc from the two wild accessions of S. chacoense that are resistant to PVY and the two wild accessions of S. chacoense that are susceptible to PVY. The PCR products were cloned, and at least 12 replicates of each clone were sequenced. Based on the sequences of the four Rychc homologs from the four wild accessions of S. chacoense, the conserved primers were designed to amplify Rychc gene fragments containing the NBS and LRR regions from the genomic DNA of the S. chacoense accession 40-3, the resistant parent and the 12 additional S. chacoense genotypes. A total of 160 distinct gene fragments were amplified from the 13 genotypes. The copy number varied from four to 20 in each genotype (Table S7, Supplementary Materials). These data indicate that a rapid copy number evolution may have occurred in these genes. We noticed that distinct gene fragments were present in the different accessions. Finally, we found 133 unique gene fragments in total and that the number of LRRs varied from 0 to 17, which is consistent with the interpretation that the Rychc genes are members of a large cluster of homologous genes.
We used MAFFT with default parameters to perform an alignment of 133 different sequences from 13 genotypes and found that large indels (>156 bp) were mainly concentrated in the intron and exon regions that encode the LRRs. We analyzed the 25 fragments that have large insertion sequences in the exon region and found that the deletions were also nonrandom. We found deletions in part of exon 3 and the entirety of exon 4 in only four fragments. The deletions in the remaining 21 fragments were mainly concentrated within the middle 284 bp of exon 4. The length of the missing sequences ranges from 156 bp to 1147 bp and encode LRRs. These deletions remove from 3 to 11 LRR domains (Table 1). We found that the hot spot for unequal crossing over was in the middle of exon 5 and that this hot spot was responsible for generating these large deletions. Further analysis of all 26 fragments revealed that the point mutations causing amino acid changes were also the leading cause of the variations in LRR number.
We used ML (Figure S4, Supplementary Materials) and NJ (Figure S5, Supplementary Materials) methods to build the phylogenetic trees for the 160 fragments. Seven homologs of Rychc from Solanaceaeas, including N-like_Caann from the pepper genome, TAO1_Solyc and N-like_Sopen from the tomato genome, and N-like_Niatt, N-like_Nisyl, TAO1-like_Nitab and TAO1-like_Nitom from the tobacco genome were used as the outgroup. The topological structure of the ML phylogenetic tree was similar to that of the NJ phylogenetic tree. We used the ML phylogenetic tree for further analysis, because of its higher bootstrap value. According to the patterns of sequence diversity among the genes, we divided the tree into 11 distinct clades. The bootstrap values that separate the 11 clades are 100%, 100%, 98.8%, 98.7%, 100%, 100%, 94.9%, 100%, 99.6%, 100% and 99.6%. We performed a further analysis of Family 11, which includes the fragment of Rychc. The sequence identities of exons 2, 3 and 4 were 92.7%, 94.6% and 80.5%, respectively. In contrast, the sequence similarities of introns 2, 3 and 4 were only 90.7%, 90.4% and 83.3% (Figure 6d). The sequence identity of the NBS region ranged from 83.3% to 100% (mean = 93.8%). Among the 1,653 pairwise nucleotide identities, 1,140 were not lower than 95%. In contrast, the sequence identities of the LRR region ranged from 7.6% to 100% (mean = 81.9%). Moreover, only 426 of the 1,653 pairwise nucleotide identities were not lower than 95% (Figure 6d). Thus, the sequence similarities of the LRR regions were lower than the sequence similarities of the NBS regions with a wider range of variation.
In Family 11, there was no clear relationship between the taxonomy and position to determine the possible homologous relationships between genes. Most of the Ka/Ks ratios for the CDS of Family 11 were all less than 1, which indicates a negative selection pressure. However, the majority of the Ka/Ks ratios in the LRR region were greater than 1, which provides reliable evidence of positive selection (Figure 6e). We further investigated possible recombination events in this family to study its role in evolution. The recombination events of Family 11 were tested simultaneously, using seven methods—3Seq, Bootscan, Chimaera, GENECONV, MaxChi, RDP and SiScan. The results showed that the number of recombination events may range from 20, predicted by Chimaera, to 34, predicted by GENECONV (Figure S6, Supplementary Materials). We analyzed the tight clade containing Rychc and found that it contained nine genes, all from the PVY-resistant accessions. Only the S. chacoense accession 40-3 and CHC39-7 had two genes in this tight clade. The remaining five accessions had only one gene (Figure 6b). The sequence alignments revealed that 40-3-12 should have evolved through a gene recombination between Rychc and a gene from another family. All of the pairwise sequence identities among the remaining eight genes in this tight clade were more than 99%. The high levels of sequence identity may be responsible for the PVY resistance of these five accessions (Figure S7, Supplementary Materials).
3.6. Marker Development for Breeding
The breeding of cultivars resistant to PVY provides the simplest and most economical solution for preventing crop damage from PVY [2]. S. chacoense is a good breeding resource, because of its male fertility and because either the female or male parents can be used as a source of Ry. Indeed, Rychc from S. chacoense has been used in Japanese and Russian potato breeding programs [43,44].
To test whether the markers developed in this study can be used for molecular marker-assisted selection for breeding, three markers M71-20, MG64-17 and M64-17 were used to investigate the genotype of 35 accessions kept in our laboratory. We found that MG64-17 is predictive of Rychc, in that a specific band can be amplified only in resistant accessions (Figure 7; Table S8, Supplementary Materials). Therefore, MG64-17 can be used as a marker for the marker-assisted selection of PVY resistance in breeding programs when S. chacoense is used as a source of PVY resistance. The detection technique is simple and can accurately identify the PVY-resistant plants without phenotypic characterization, which requires either inoculation with PVY or the growth of plants in high disease-pressure conditions.
4. Discussion
In the preliminary mapping experiments with a CB-SNP map, we localized Rychc to the distal end of chromosome 9, which is consistent with previous studies [16]. These data indicate that the chromosomal location of Rychc differs from the chromosomal locations of other extreme resistance genes—Ryadg, Rysto and Ry-fsto. A large cluster of 19 candidate genes between 60 Mb and 61 Mb are homologous to the tomato tospovirus-resistant gene Sw-5 [45]. In addition, the structure of the genomic fragments of S. chacoense on which Rychc was located on may be quite different relative to the reference genome, DM1-3. These circumstances create challenges for the development of the gene-linked markers. The construction of a BAC library from the resistant parent is an ideal solution to this problem [46]. In this work, S. chacoense accession 40-3 served as the resistant parent and was used to construct a BAC library. We screened a BAC library, sequenced four BAC clones and assembled a 297.7-kb contig that covered the entire interval that we defined with fine mapping experiments. Based on the assembled contig, we found that the interval between M28 and SNP48 is 174,054 bp in the S. chacoense accession 40-3 and is 107,664 bp in DM1-3. These data demonstrate that the interval defined by our fine-mapping experiments differs significantly between the disease-resistant parent and the reference genome, as was previously speculated. After determining that the reference genome and the genome of the S. chacoense accession 40-3 were different at the Rychc locus, we found a novel PVY extreme resistance gene Rychc and that the genomic sequence identities between Rychc and Rysto are only 41.51%. Additionally, Rysto is located on chromosome XII (Figure S8, Supplementary Materials) [2].
The breeding resistance to the many different strains of PVY is a major goal of breeding engineering. We found that Rychc can confer extreme resistance to PVYO, PVYN:O and PVYNTN in both the susceptible diploid cultivar AC142 and in the tetraploid potato variety E3. Moreover, Rychc can confer resistance to PVY in potatoes from different genotypes, and therefore, these data indicate that Rychc can confer resistance to PVY regardless of the genotype. Based on these data, we conclude that Rychc is an ideal gene for breeding resistance to PVY in potato.
The genes that encode NBS-LRR proteins are numerous, of ancient origin and are most of the disease resistance genes in plants. Indeed, the genes that encode NBS-LRR proteins are one of the largest disease-resistant gene families known in plants [47]. We found at least 133 homologous fragments of Rychc that contain NBS and LRR regions in the 13 S. chacoense accessions, which indicate that the Rychc genes are members of a large cluster of homologous genes. Our analysis revealed that the sequence identity of intron 4 is much lower than intron 2 and intron 3. Similar to the situation with the introns, the sequence identity of exon 4 was much lower than the other two exons, which may be the result of diversity selection. In contrast to Rychc, diversity selection is not the main evolutionary force of the RGC2 genes in lettuce and frequent sequence exchanges homogenized the introns of the gene family [21].
Our analysis of 133 fragments indicates that a variety of genetic events contributed to the diversity of Rychc genes. The recombinations, insertions, deletions and point mutations appeared to change the gene copy number and the number of LRR repeats. These data demonstrate a Type I evolutionary pattern for the Rychc gene similar to the RGC2 genes in lettuce, RPP8 genes in Arabidopsis, Pi2/9 homologs in rice and RB/Rpi-blb1 genes in Solanaceae [19,20,21,48]. Two different types of evolution were observed in RGC2, RPP8, Pi2/9 and RB/Rpi-blb1. Type I is a type of fast sequence evolution that is characterized by numerous sequence exchanges. Type II is a type of slow evolution with few sequence exchanges. Interestingly, the Type I evolutionary pattern that we observed with the Rychc genes is characterized by numerous sequence exchanges, high Ka/Ks ratios and nucleotide divergence of CDS, especially in the LRR region. The main function of the LRR proteins is to participate in specific protein–protein interactions and in either a direct or indirect way, to recognize pathogens [49]. The complex evolution of the Rychc genes leads to a large number of Rychc homologs, and, therefore, may serve as an effective strategy to help potatoes cope with PVY, which is a diverse and continually evolving threat.
The allelic variation created by the mutation and genetic recombination between alleles and family members are the main drivers of disease resistance gene evolution [50]. The late blight-resistant gene Rpi-blb1 probably evolved from the sequence exchange between the ancestral genes RGA3-blb and RGA1-blb [51]. In our study, we found that the sequence exchange between Rychc and a gene from another family led to the evolution of the Rychc gene homolog 40-3-12. Moreover, 39-7-28/133, the potential functional ortholog of Rychc, accumulated nonsynonymous point mutations in the course of long-term evolution. All of the evidence proves that Rychc is a relatively old gene.
5. Conclusions
In this study, we cloned a novel PVY extreme resistance gene Rychc that encodes a TIR-NLR protein and evolved with Type I evolutionary patterns.
G.L., J.S. and Y.T. carried out the experiments, analyzed the data and wrote the manuscript; S.J. and C.X. conceptualized the experiments; Y.W. and T.L. revised the manuscript; X.C. and B.S. designed and participated in all experiments and revised the manuscript. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Sequence data have been deposited in the GenBank under the following accession numbers: the sequence of 100-8O, 74-24B, 71-24H and the missing part that was not covered by BAC, ON553906 to ON553909; homologous gene fragments from S. chacoense accession40-3, ON553745 to ON553759; homologous gene fragments from CHC39-7, ON553760 to ON553779; homologous gene fragments from C545, ON553780 to ON553787; homologous gene fragments from M6, ON553788 to ON553792; homologous gene fragments from CHC524-8, ON553793 to ON553798; homologous gene fragments from CHC524-8-1, ON553799 to ON553802; homologous gene fragments from CHC524-8-2, ON553803 to ON553808; homologous gene fragments from CHC54-1, ON553809 to ON553828; homologous gene fragments from CHC54-2, ON553829 to ON553846; homologous gene fragments from CHC54-3, ON553847 to ON553854; homologous gene fragments from CHC55-1, ON553855 to ON553874; homologous gene fragments from CHC55-2, ON553875 to ON553884; homologous gene fragments from CHC55-3, ON553885 to ON553904.
We thank Hanhui Kuang and Robert M. Larkin from the Huazhong Agricultural University for careful revising of the manuscript.
The authors declare that they have no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Enlarge this image.Figure 1. Potato CB-SNP genetic map and comparison with the DM1-3 genome physical map. LG1–LG12 (indicated with black) indicate 12 linkage groups constructed with 258 SNP markers. Chr1–Chr12 (indicated with red) indicate 12 potato chromosomes on the physical map. The synteny between the genetic and physical maps is showed with green lines.
Enlarge this image.Figure 2. Map-based cloning of Rychc in potato. (a) Preliminary mapping of Rychc. Rychc was preliminarily mapped to the end of chromosome 9 using six SNPs that were significantly linked to Rychc and recombinant A99; (b) Fine mapping of Rychc. The Rychc locus was fine mapped to a 113,351-bp interval between M28 and SNP48. Markers indicated with a bold font were used for BAC library screening; (c) Physical locations of gene markers. The physical map was designed based on the sequence of a BAC clone from a library constructed from S. chacoense accession 40-3 and used for the fine-mapping of the Rychc locus. The positions of the BAC clones in the fine mapping interval are indicated; (d) Schematic representation of 6 candidate genes between marker M71-28-3 and M64-17 in the genome of S. chacoense accession 40-3. The genes were predicted using FGENESH from the Softberry website. The C in genes’ name indicates candidate. Their conserved domains were predicted using the Conserved Domain database at NCBI. The transition between green and purple rectangles in (a–c) indicates that the cross-over happened in the progenies.
Enlarge this image.Figure 3. Symptoms of transgenic plants derived from AC142 at approximately 1 month after inoculation with PVYO. Representative plants and leaves are shown.
Enlarge this image.Figure 4. Phenotyping of PVYO resistance in transgenic lines derived from AC142 and E3. (a) PVY RNA levels in the non-inoculated leaves of AC142 transgenic plants harboring C4 two weeks after PVYO-FL inoculation. 40-3 indicates S. chacoense accession 40-3, the resistant parent; (b) ELISA titers of PVYO-FL in transgenic plants derived from AC142 harboring C4 four weeks after inoculation. An ELISA (ODA405) value <0.1 indicates that the plants were resistant. An ELISA (ODA405) value >0.1 indicates that the plants were susceptible. Data in (a,c) are presented as mean values ± SE. ** indicates a statistically significant difference (p < 0.01) compared to AC142, calculated using a Student’s t-test. Data in (b,d) are presented as mean values ± SE. ** indicates a statistically significant difference (p < 0.01) compared to E3 calculated using a Student’s t-test.
Enlarge this image.Figure 5. Phenotyping of extreme resistance in transgenic lines derive from AC142 and E3. (a) PVY RNA levels in the non-inoculated leaves of transgenic lines derived from AC142 and harboring C4. RNA levels were quantified two weeks after inoculation with PVYN:O and PVYNTN. The 40-3 indicates S. chacoense accession 40-3, the resistant parent; (b) PVY RNA levels in the non-inoculated leaves of transgenic lines. RNA levels were quantified two weeks after inoculation with PVYO-FL, PVYN:O and PVYNTN; (c) Titers of PVYN:O and PVYNTN in transgenic lines derived from AC142 and harboring C4. Titers were determined using ELISAs four weeks after inoculation; (d) Titers of PVYO, PVYN:O and PVYNTN in transgenic lines derived from E3 and harboring C4. Titers were determined using ELISAs four weeks after inoculation. The 40-3 indicates S. chacoense accession 40-3, the resistant parent. Data in (a) and (c) are presented as mean values ± SE. ** indicates a statistically significant difference (p < 0.01) compared to AC142 as determined using a Student’s t-test. Data in (b) and (d) are presented as mean values ± SE. ** indicates a statistically significant difference (p < 0.01) compared to E3 as determined using a Student’s t-test.
Enlarge this image.Figure 6. Evolution of Rychc homologs in diverse wild accessions of S. chacoense. (a) Genomic structure and conserved domains of Rychc; (b) Maximum Likelihood (ML) phylogenetic tree of the Rychc homologs from Family 11. 40-3-43 in blue is the fragment of Rychc; (c) Phenotyping of PVY resistance in 12 accessions of S. chacoense. Data in (c) are presented as mean values ± SE. ** indicates a statistically significant difference (p < 0.01) relative to 143-6, as determined using a Student’s t-test. The 40-3 indicates S. chacoense accession 40-3, the resistant parent. The 143-6 indicates S. berthaultii accession 143-6, the susceptible parent; (d) Average nucleotide identities of different parts of all Rychc genes fragments; (e) Distribution of Ka/Ks values in the CDS and LRR regions of Rychc genes from Family 11.
Enlarge this image.Figure 7. Detection of MG64-17, M64-17and MG71-20 in 12 S. chacoense lines. Lanes 1-16: Trans2K®Plus DNA Marker; S. chacoense accession 40-3; S. berthaultii accession 143-6; M6; CHC524-8; CHC524-8-1; CHC524-8-2; CHC54-1; CHC54-2; CHC54-3; CHC55-1; CHC55-2; CHC55-3; CHC39-7; C545; no template control. One of the specific bands that can be amplified only in resistant accessions are indicated with red arrows.
Large deletions and point mutations in the LRR regions.
| Fragment |
No. of |
Ka of |
No. of |
Deletion Positions | Deletion Size | |||
|---|---|---|---|---|---|---|---|---|
| Start | End | Start | End | |||||
| 54-2-46 | 0 | - | 12 | 1444 | 2590 | 1147 | ||
| 54-3-5 | 0 | 0.077 | 12 | 1444 | 2470 | 1027 | ||
| 54-3-27 | 0 | - | 12 | 1444 | 2590 | 1147 | ||
| 54-3-2 | 0 | 0.36 | 12 | 1447 | 1517 | 1553 | 2602 | 1121 |
| 39-7-3 | 7 | 0.148 | 3 | 1955 | 2139 | 185 | ||
| 39-7-14 | 7 | 0.148 | 3 | 1955 | 2139 | 185 | ||
| 39-7-119 | 7 | 0.148 | 3 | 1955 | 2139 | 185 | ||
| 39-7-125 | 7 | 0.148 | 3 | 1955 | 2139 | 185 | ||
| 54-2-6 | 7 | 0.148 | 3 | 1955 | 2139 | 185 | ||
| 40-3-7 | 8 | 0.101 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 55-1-32 | 8 | 0.101 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 40-3-52 | 8 | 0.123 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| C545-4 | 6 | 0.107 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| M6-1 | 6 | 0.107 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 524-8-3 | 6 | 0.107 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 5248-1-4 | 6 | 0.107 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 5248-2-2 | 6 | 0.107 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 54-1-5 | 8 | 0.123 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 54-1-7 | 8 | 0.123 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 54-2-7 | 8 | 0.123 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 54-2-28 | 8 | 0.123 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 54-2-45 | 9 | 0.116 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 55-1-38 | 9 | 0.106 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 55-3-29 | 10 | 0.144 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
| 55-3-89 | 8 | 0.101 | 3 | 2083 | 2208 | 2381 | 2410 | 156 |
Positions of the deletions are compared to fragment 40-3-43(part of Rychc).
Supplementary Materials
Additional supporting information may be found online
References
1. Quenouille, J.; Vassilakos, N.; Moury, B. Potato virus Y: A major crop pathogen that has provided major insights into the evolution of viral pathogenicity. Mol. Plant Pathol.; 2013; 14, pp. 439-452. [DOI: https://dx.doi.org/10.1111/mpp.12024] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23480826]
2. Grech-Baran, M.; Witek, K.; Szajko, K.; Witek, A.I.; Morgiewicz, K.; Wasilewiczflis, I.; Jakuczun, H.; Marczewski, W.; Jones, J.D.G.; Hennig, J. Extreme resistance to Potato virus Y in potato carrying the Rysto gene is mediated by a TIR-NLR immune receptor. Plant Biotechnol. J.; 2020; 18, pp. 655-667. [DOI: https://dx.doi.org/10.1111/pbi.13230] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31397954]
3. Duffy, S.; Shackelton, L.A.; Holmes, E.C. Rates of evolutionary change in viruses: Patterns and determinants. Nat. Rev. Genet.; 2008; 9, pp. 267-276. [DOI: https://dx.doi.org/10.1038/nrg2323] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18319742]
4. Singh, R.P.; Valkonen, J.P.; Gray, S.M.; Boonham, N.; Jones, R.A.; Kerlan, C.; Schubert, J. Discussion paper: The naming of Potato virus Y strains infecting potato. Arch. Virol.; 2008; 153, pp. 1-13. [DOI: https://dx.doi.org/10.1007/s00705-007-1059-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17943395]
5. Della Bartola, M.; Byrne, S.; Mullins, E. Characterization of Potato Virus Y Isolates and Assessment of Nanopore Sequencing to Detect and Genotype Potato Viruses. Viruses; 2020; 12, 478. [DOI: https://dx.doi.org/10.3390/v12040478] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32340210]
6. Baebler, S.; Coll, A.; Gruden, K. Plant Molecular Responses to Potato Virus Y: A Continuum of Outcomes from Sensitivity and Tolerance to Resistance. Viruses; 2020; 12, 217. [DOI: https://dx.doi.org/10.3390/v12020217]
7. Szajko, K.; Chrzanowska, M.; Witek, K.; Strzelczyk-Zyta, D.; Zagórska, H.; Gebhardt, C.; Hennig, J.; Marczewski, W. The novel gene Ny-1 on potato chromosome IX confers hypersensitive resistance to Potato virus Y and is an alternative to Ry genes in potato breeding for PVY resistance. Theor. Appl. Genet.; 2008; 116, pp. 297-303. [DOI: https://dx.doi.org/10.1007/s00122-007-0667-1]
8. Tomczyńska, I.; Jupe, F.; Hein, I.; Marczewski, W.; Sliwka, J. Hypersensitive response to Potato virus Y in potato cultivar Sárpo Mira is conferred by the Ny-Smira gene located on the long arm of chromosome IX. Mol. Breed.; 2014; 34, pp. 471-480. [DOI: https://dx.doi.org/10.1007/s11032-014-0050-2]
9. Szajko, K.; Strzelczykżyta, D.; Marczewski, W. Ny-1 and Ny-2 genes conferring hypersensitive response to potato virus Y (PVY) in cultivated potatoes: Mapping and marker-assisted selection validation for PVY resistance in potato breeding. Mol. Breed.; 2014; 34, pp. 267-271. [DOI: https://dx.doi.org/10.1007/s11032-014-0024-4]
10. Celebitoprak, F.; Slack, S.A.; Jahn, M. A new gene, Nytbr, for hypersensitivity to Potato virus Y from Solanum tuberosum Maps to Chromosome IV. Theor. Appl. Genet.; 2002; 104, pp. 669-674. [DOI: https://dx.doi.org/10.1007/s001220100749]
11. Moury, B.; Caromel, B.; Johansen, E.; Simon, V.; Chauvin, L.; Jacquot, E.; Kerlan, C.; Lefebvre, V. The Helper Component Proteinase Cistron of Potato virus Y Induces Hypersensitivity and Resistance in Potato Genotypes Carrying Dominant Resistance Genes on Chromosome IV. Mol. Plant-Microbe Interact.; 2011; 24, pp. 787-797. [DOI: https://dx.doi.org/10.1094/MPMI-10-10-0246]
12. Herrera, M.d.R.; Vidalon, L.J.; Montenegro, J.D.; Riccio, C.; Guzman, F.; Bartolini, I.; Ghislain, M. Molecular and genetic characterization of the Ryadg locus on chromosome XI from Andigena potatoes conferring extreme resistance to potato virus Y. Theor. Appl. Genet.; 2018; 131, pp. 1925-1938. [DOI: https://dx.doi.org/10.1007/s00122-018-3123-5] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29855674]
13. Brigneti, G.; Garciamas, J.; Baulcombe, D.C. Molecular mapping of the potato virus Y resistance gene Rysto in potato. Theor. Appl. Genet.; 1997; 94, pp. 198-203. [DOI: https://dx.doi.org/10.1007/s001220050400]
14. Song, Y.; Hepting, L.; Schweizer, G.; Hartl, L.; Wenzel, G.; Schwarzfischer, A. Mapping of extreme resistance to PVY (Rysto) on chromosome XII using anther-culture-derived primary dihaploid potato lines. Theor. Appl. Genet.; 2005; 111, pp. 879-887. [DOI: https://dx.doi.org/10.1007/s00122-005-0010-7] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16044270]
15. Flis, B.; Hennig, J.; Strzelczykzyta, D.; Gebhardt, C.; Marczewski, W. The Ry-fsto gene from Solanum stoloniferum for extreme resistant to Potato virus Y maps to potato chromosome XII and is diagnosed by PCR marker GP122718 in PVY resistant potato cultivars. Mol. Breed.; 2005; 15, pp. 95-101. [DOI: https://dx.doi.org/10.1007/s11032-004-2736-3]
16. Sato, M.; Nishikawa, K.; Komura, K.; Hosaka, K. Potato Virus Y Resistance Gene, Rychc, Mapped to the Distal End of Potato Chromosome 9. Euphytica; 2006; 149, pp. 367-372. [DOI: https://dx.doi.org/10.1007/s10681-006-9090-y]
17. Grech-Baran, M.; Witek, K.; Poznański, J.T.; Grupa-Urbańska, A.; Malinowski, T.; Lichocka, M.; Jones, J.D.G.; Hennig, J. The Rysto immune receptor recognises a broadly conserved feature of potyviral coat proteins. New Phytol.; 2022; 235, pp. 1179-1195. [DOI: https://dx.doi.org/10.1111/nph.18183]
18. Barragan, A.C.; Weigel, D. Plant NLR diversity: The known unknowns of pan-NLRomes. Plant Cell; 2021; 33, pp. 814-831. [DOI: https://dx.doi.org/10.1093/plcell/koaa002]
19. Wu, K.; Xu, T.; Guo, C.; Zhang, X.; Yang, S. Heterogeneous evolutionary rates of Pi2/9 homologs in rice. BMC Genet.; 2012; 13, 73. [DOI: https://dx.doi.org/10.1186/1471-2156-13-73]
20. Xie, Z.; Si, W.; Gao, R.; Zhang, X.; Yang, S. Evolutionary analysis of RB/Rpi-blb1 locus in the Solanaceae family. Mol. Genet. Genom.; 2015; 290, pp. 2173-2186. [DOI: https://dx.doi.org/10.1007/s00438-015-1068-9]
21. Kuang, H.; Woo, S.S.; Meyers, B.C.; Michelmore, N. Multiple Genetic Processes Result in Heterogeneous Rates of Evolution within the Major Cluster Disease Resistance Genes in Lettuce. Plant Cell; 2004; 16, pp. 2870-2894. [DOI: https://dx.doi.org/10.1105/tpc.104.025502] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15494555]
22. Wang, J.; Meng, F.; Chen, R.; Liu, J.; Nie, B. RT-PCR Differentiation, Molecular and Pathological Characterization of Andean and Ordinary Strains of Potato virus S in Potatoes in China. Plant Disease; 2016; 100, pp. 1580-1585. [DOI: https://dx.doi.org/10.1094/PDIS-11-15-1257-RE] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30686236]
23. Felcher, K.J.; Coombs, J.J.; Massa, A.N.; Hansey, C.N.; Hamilton, J.P.; Veilleux, R.E.; Buell, C.R.; Douches, D.S. Integration of Two Diploid Potato Linkage Maps with the Potato Genome Sequence. PLoS ONE; 2012; 7, e36347. [DOI: https://dx.doi.org/10.1371/journal.pone.0036347] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22558443]
24. Ooijen, J.W.V.; Ooijen, J.W.V.; Verlaat, J.V.T.; Ooijen, J.W.V.; Tol, J.; Dalén, J.; Buren, J.B.V.; Meer, J.W.M.V.D.; Krieken, J.H.V.; Ooijen, J.W.V. et al. JoinMap4, Software for the Calculation of Genetic Linkage Maps in Experimental Populations; Kyazma B.V.: Wageningen, The Netherlands, 2006.
25. Voorrips, R.E. MapChart: Software for the Graphical Presentation of Linkage Maps and QTLs. J. Hered.; 2002; 93, pp. 77-78. [DOI: https://dx.doi.org/10.1093/jhered/93.1.77]
26. Sharma, S.K.; Bolser, D.; de Boer, J.; Sønderkær, M.; Amoros, W.; Carboni, M.F.; D’Ambrosio, J.M.; de la Cruz, G.; Di Genova, A.; Douches, D.S. et al. Construction of Reference Chromosome-Scale Pseudomolecules for Potato: Integrating the Potato Genome with Genetic and Physical Maps. G3 Genes Genomes Genet.; 2013; 3, pp. 2031-2047. [DOI: https://dx.doi.org/10.1534/g3.113.007153]
27. Xu, X.; Pan, S.; Cheng, S.; Zhang, B.; Mu, D.; Ni, P.; Zhang, G.; Yang, S.; Li, R.; Wang, J. et al. Genome sequence and analysis of the tuber crop potato. Nature; 2011; 475, pp. 189-195.
28. Si, H.; Xie, C.H.; Liu, J. An efficient protocol for Agrobacterium-mediated transformation with microtuber and the induction of an antisense class I patatin gene into potato. Acta Agron. Sin.; 2003; 29, pp. 801-805.
29. Nicot, N.; Hausman, J.-F.; Hoffmann, L.; Evers, D. Housekeeping gene selection for real-time RT-PCR normalization in potato during biotic and abiotic stress. J. Exp. Bot.; 2005; 56, pp. 2907-2914. [DOI: https://dx.doi.org/10.1093/jxb/eri285]
30. Katoh, K.; Standley, D.M. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability. Mol. Biol. Evol.; 2013; 30, pp. 772-780. [DOI: https://dx.doi.org/10.1093/molbev/mst010]
31. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol.; 2018; 35, pp. 1547-1549. [DOI: https://dx.doi.org/10.1093/molbev/msy096]
32. Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree 2-approximately maximum-likelihood trees for large alignments. PLoS ONE; 2010; 5, e9490. [DOI: https://dx.doi.org/10.1371/journal.pone.0009490] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20224823]
33. Letunic, I.; Bork, P. Interactive Tree Of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res.; 2021; 49, pp. W293-W296. [DOI: https://dx.doi.org/10.1093/nar/gkab301] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33885785]
34. Solovyev, V.; Kosarev, P.; Seledsov, I.; Vorobyev, D. Automatic annotation of eukaryotic genes, pseudogenes and promoters. Genome Biol.; 2006; 7, (Suppl. 1), pp. S10.1-S10.12. [DOI: https://dx.doi.org/10.1186/gb-2006-7-s1-s10] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16925832]
35. Boni, M.F.; Posada, D.; Feldman, M.W. An exact nonparametric method for inferring mosaic structure in sequence triplets. Genetics; 2007; 176, pp. 1035-1047. [DOI: https://dx.doi.org/10.1534/genetics.106.068874]
36. Gibbs, M.J.; Armstrong, J.; Gibbs, A. Sister-Scanning: A Monte Carlo procedure for assessing signals in recombinant sequences. Bioinformatics; 2000; 16, pp. 573-582. [DOI: https://dx.doi.org/10.1093/bioinformatics/16.7.573] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11038328]
37. Martin, D.; Posada, D.; Crandall, K.; Williamson, C. A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpoints. AIDS Res. Hum. Retrovir.; 2005; 21, pp. 98-102. [DOI: https://dx.doi.org/10.1089/aid.2005.21.98] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15665649]
38. Martin, D.; Rybicki, E. RDP: Detection of recombination amongst aligned sequences. Bioinformatics; 2000; 16, pp. 562-563. [DOI: https://dx.doi.org/10.1093/bioinformatics/16.6.562] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10980155]
39. Martin, D.P.; Murrell, B.; Golden, M.; Khoosal, A.; Muhire, B. RDP4: Detection and analysis of recombination patterns in virus genomes. Virus Evol.; 2015; 1, vev003. [DOI: https://dx.doi.org/10.1093/ve/vev003]
40. Padidam, M.; Sawyer, S.; Fauquet, C.M. Possible Emergence of New Geminiviruses by Frequent Recombination. Virology; 1999; 265, pp. 218-225. [DOI: https://dx.doi.org/10.1006/viro.1999.0056]
41. Posada, D.; Crandall, K.A. Evaluation of methods for detecting recombination from DNA sequences: Computer simulations. PNAS; 2001; 98, pp. 13757-13762. [DOI: https://dx.doi.org/10.1073/pnas.241370698]
42. Smith, J.M. Analyzing the mosaic structure of genes. J. Mol. Evol.; 1992; 34, pp. 126-129. [DOI: https://dx.doi.org/10.1007/BF00182389] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/1556748]
43. Hosaka, K.; Hosaka, Y.; Mori, M.; Maida, T.; Matsunaga, H. Detection of a simplex RAPD marker linked to resistance to potato virus Y in a tetraploid potato. Am. J. Potato Res.; 2001; 78, pp. 191-196. [DOI: https://dx.doi.org/10.1007/BF02883544]
44. Simakov, E.A.; Anisimov, B.V.; Yashina, I.M.; Uskov, A.I.; Yurlova, S.M.; Oves, E.V. Potato breeding and seed production system development in Russia. Potato Res.; 2008; 51, pp. 313-326. [DOI: https://dx.doi.org/10.1007/s11540-008-9110-5]
45. Brommonschenkel, S.; Frary, A.; Tanksley, S.D. The broad-spectrum tospovirus resistance gene Sw-5 of tomato is a homolog of the root-knot nematode resistance gene Mi. Mol. Plant-Microbe Interact.; 2000; 13, pp. 1130-1138. [DOI: https://dx.doi.org/10.1094/MPMI.2000.13.10.1130]
46. Vossen, J.H.; van Arkel, G.; Bergervoet, M.; Jo, K.-R.; Jacobsen, E.; Visser, R.G.F. The Solanum demissum R8 late blight resistance gene is an Sw-5 homologue that has been deployed worldwide in late blight resistant varieties. Theor. Appl. Genet.; 2016; 129, pp. 1785-1796. [DOI: https://dx.doi.org/10.1007/s00122-016-2740-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27314264]
47. McHale, L.; Tan, X.; Koehl, P.; Michelmore, R.W. Plant NBS-LRR proteins: Adaptable guards. Genome Biol.; 2006; 7, 212. [DOI: https://dx.doi.org/10.1186/gb-2006-7-4-212] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16677430]
48. Kuang, H.; Caldwell, K.S.; Meyers, B.C.; Michelmore, R.W. Frequent sequence exchanges between homologs of RPP8 in Arabidopsis are not necessarily associated with genomic proximity. Plant J.; 2008; 54, pp. 69-80. [DOI: https://dx.doi.org/10.1111/j.1365-313X.2008.03408.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18182023]
49. DeYoung, B.J.; Innes, R.W. Plant NBS-LRR proteins in pathogen sensing and host defense. Nat. Immunol.; 2006; 7, pp. 1243-1249. [DOI: https://dx.doi.org/10.1038/ni1410]
50. Hulbert, S.H.; Webb, C.A.; Smith, S.M.; Sun, Q. Resistance gene complexes: Evolution and utilization. Annu. Rev. Phytopathol.; 2001; 39, pp. 285-312. [DOI: https://dx.doi.org/10.1146/annurev.phyto.39.1.285]
51. van der Vossen, E.; Sikkema, A.; Hekkert, B.; Gros, J.; Stevens, P.; Muskens, M.; Wouters, D.; Pereira, A.; Stiekema, W.; Allefs, S. An ancient R gene from the wild potato species Solanum bulbocastanum confers broad-spectrum resistance to Phytophthora infestans in cultivated potato and tomato. Plant J.; 2003; 36, pp. 867-882. [DOI: https://dx.doi.org/10.1046/j.1365-313X.2003.01934.x]
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Details
; Xie, Conghua 1 ; Song, Botao 3
; Cai, Xingkui 1
1 Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China
2 Department of Horticulture, University of Wisconsin, Madison, WI 53706, USA
3 Key Laboratory of Potato Biology and Biotechnology, Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China