Abstract
Background
The NBS disease-related gene family coordinates the inherent immune system in plants in response to pathogen infections. Previous studies have identified NBS-encoding genes in Pyrus bretschneideri (‘Dangshansuli’, an Asian pear) and Pyrus communis (‘Bartlett’, a European pear) genomes, but the patterns of genetic variation and selection pressure on these genes during pear domestication have remained unsolved.
Results
In this study, 338 and 412 NBS-encoding genes were identified from Asian and European pear genomes. This difference between the two pear species was the result of proximal duplications. About 15.79% orthologous gene pairs had Ka/Ks ratio more than one, indicating two pear species undergo strong positive selection after the divergence of Asian and European pear. We identified 21 and 15 NBS-encoding genes under fire blight and black spot disease-related QTL, respectively, suggesting their importance in disease resistance. Domestication caused decreased nucleotide diversity across NBS genes in Asian cultivars (cultivated 6.23E-03; wild 6.47E-03), but opposite trend (cultivated 6.48E-03; wild 5.91E-03) appeared in European pears. Many NBS-encoding coding regions showed Ka/Ks ratio of greater than 1, indicating the role of positive selection in shaping diversity of NBS-encoding genes in pear. Furthermore, we detected 295 and 122 significantly different SNPs between wild and domesticated accessions in Asian and European pear populations. Two NBS genes (Pbr025269.1 and Pbr019876.1) with significantly different SNPs showed >5x upregulation between wild and cultivated pear accessions, and > 2x upregulation in Pyrus calleryana after inoculation with Alternaria alternata. We propose that positively selected and significantly different SNPs of an NBS-encoding gene (Pbr025269.1) regulate gene expression differences in the wild and cultivated groups, which may affect resistance in pear against A. alternata.
Conclusion
Proximal duplication mainly led to the different number of NBS-encoding genes in P. bretschneideri and P. communis genomes. The patterns of genetic diversity and positive selection pressure differed between Asian and European pear populations, most likely due to their independent domestication events. This analysis helps us understand the evolution, diversity, and selection pressure in the NBS-encoding gene family in Asian and European populations, and provides opportunities to study mechanisms of disease resistance in pear.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12864-020-07226-1.
Keywords: NBS, Pear, Expansion, Positive selection, Nucleotide diversity
Background
Pear (Pyrus), the third most important fruit tree species in the world, has been cultivated for more than 3000 years and is one of the oldest fruit trees in the world [1]. Due to independent domestication under distinct geographical conditions, Asian and European pears display prominent differences in genetic and phenotypic diversity [2, 3]. The wild populations of these two pear groups have likely experienced unique disease pressures due to their completely different habitats. For example, brown spot (caused by fungus Stemphylium vesicarium) and fire blight (caused by bacteria Erwinia amylovora) diseases lead to death of pear trees and threaten the pear industry in Europe and west Asia [4–10]. Black spot (caused by fungus A. alternata), scab (caused by fungus Venturia nashicola), ring rot (caused by fungus Botryosphaeria berengeriana), and bitter rot (caused by bacteria Colletotrichum fructicola) diseases, in turn, cause huge losses to pear production in China and east Asia [11–14]. Furthermore, independent domestications of Asian and European pear [3] might have intensified the selection on a few genomic regions that have relevance for the specific diseases associated with their cultivation habitats. Hence, characterizing disease-related gene families can provide opportunities to understand the role of divergence and domestication in shaping host resistance responses in pear.
Studying disease resistance mechanisms in wild and cultivated germplasm remains a major focus of pear breeding and improvement [13, 15–20]. For example, Pierantoni L et al. [15] identified two major resistance QTL against scab disease caused by Venturia pirina in European pear (P. communis), and the causative scab disease gene ‘Vnk’ was found in Asian pear [16]. Similarly, QTL have also been identified for resistance to fire blight and black spot disease [21] in Pyrus ussuriensis [17] and P. communis [18]. Interestingly, the QTL region for black spot disease resistance contained two NBS-encoding genes [13], which were up-regulated after infection with A. alternata, the pathogen causing the black spot disease in P. calleryana [20]. These results highlight the importance of studying disease-related gene families, their genetic diversity, and the selection pressure on them in both Asian and European pear. Other pear species also show different levels of disease resistance. For instance, P. calleryana is a wild species native to China with strong disease resistance that has been used for fire blight resistance in the US [20]. A genetic source of fire blight resistance was detected from P. ussuriensis and P. pyrifolia, which have been used to breed disease resistance pear cultivars like ‘Harrow Sweet’ and ‘Moonglow’ [22]. Furthermore, monogenic sources of scab resistance were detected in some Asian pear accessions including ‘Kinchaku’, ‘Cangxili’ and ‘Hongli’ [21]. These QTL, disease-resistance genes, and germplasm resources are potentially useful in understanding disease resistance mechanisms and breeding new disease-resistant cultivars in pear.
Plant disease resistance (R) genes play an important role in defense against pathogens and are classified based on their location in plant cells and their putative protein domain [23]. The nucleotide binding site plus leucine-rich repeat genes (NBS-LRR) represents the biggest class of R genes [24]. These genes mainly participate in the tracking and response of various pathogens including bacteria, viruses, fungi, nematodes and oomycetes [24, 25]. Recently, a range of NBS-encoding genes have been identified in different rosaceae species. For instance, the number of NBS-encoding genes varies from 346 to 1303 in strawberry and apple, respectively [26]. However, these numbers were different in other similar studies [27–29], probably due to different computational criteria used for their detection. It has been postulated that gene loss and expansion within species has caused the variation in number of NBS genes, and repeated duplication, divergence and eventual loss has facilitated their evolution in response to the rapidly changing pathogens [30]. In addition, NBS-encoding genes show a strong signature of selection, but the nature of selection differs across these genes [31]. Some NBS-encoding genes evolve rapidly through copy number variation and high ratio of non-synonymous to synonymous substitutions, but other genes evolve at a slower rate [31].
With the availability of new high-quality assembled genomes of double haploid P. communis [32] and P. bretschneideri [1], an accurate characterization of NBS-encoding genes and their comparative analysis with P. bretschneideri is feasible. In addition, whole-genome resequencing data from a large collection of pear accessions [3] also provides a massive genomic resource to study diversification and selection effects in pear. Since the selection and evolution of NBS-encoding genes is yet unclear, the genome sequence information provides chances to explore their diversity and evolution in wild and cultivated groups in Asian and European pear.
In this study, we identified NBS-encoding genes and compared them across the genomes of P. bretschneideri and P. communis. We further used re-sequencing data from 131 pear accessions to characterize genetic variation and selection signatures on NBS-encoding genes in wild and domesticated Asian and European pear populations. In addition, NBS-encoding genes in disease resistance QTL were identified in Asian and European pears. These findings will provide additional resources for future research of NBS-encoding gene function and disease resistance in pear.
Result
Identification and phylogenetic analysis of NBS-encoding genes in P. bretschneideri and P. communis
In this study, a total of 338 and 412 NBS-encoding genes were identified in the ~ 510 Mb P. bretschneideri (Asian pear cultivar: ‘Dangshansuli’) genome, and the ~ 497 Mb P. communis genome (European pear cultivar: ‘Bartlett’), respectively. The NBS-encoding genes were divided into six types including CC-NBS-LRR, TIR-NBS-LRR and four truncated NBS-LRR (Table 1), three of which (TIR-NBS-LRR, CC-NBS-LRR, NBS) determine the majority of the difference in the number of NBS-encoding genes between Asian and European pears. The NBS-LRR class was most frequent in both P. bretschneideri (36.4%) and P. communis (25.7%). However, two different classes, CC-NBS-LRRs and NBS, represented the second largest classes in P. bretschneideri (26.6%) and P. communis (24.0%), respectively. The TIR-NBS (6.21%), CC-NBS (9.46%), NBS (10.36%), and TIR-NBS-LRR (10.95%) were least frequent in P. bretschneideri, while CC-NBS (7.04%), CC-NBS-LRR (9.22%), and TIR-NBS (13.35%) were smallest classes in P. communis (Table 1). The percentages of LRR domain-containing NBS genes were approximately 74.0 and 55.6% in P. bretschneideri and P. communis, respectively. However, the non-LRR containing genes showed a clear difference between Asian (n = 88; 26.04%) and European (n = 183; 44.41%) pear genomes (Table 1).
Table 1.
Typea | Numbers | |
---|---|---|
‘Dangshansuli’ | ‘Bartlett’ | |
CC -NBS-LRR | 90 | 38 |
TIR- NBS- LRR | 37 | 85 |
Truncated NBS-LRRb | ||
NBS-LRR | 123 | 106 |
TIR- NBS | 21I | 55 |
CC-NBS | 32 | 29 |
NBS | 35 | 99 |
Total NBS | 338 | 412 |
Total NBS with LRR | 250 | 229 |
Total NBS without LRR | 88 | 183 |
aBased on the presence or absence of CC, TIR, NBS and LRR domains, the NBS genes were classified into CC-NBS-LRR, TIR-NBS-LRR and four Truncated NBS-LRR types. bTruncated NBS-LRR means NBS genes lacking N-terminal domain (TIR or CC) or C-terminal domain (LRR), and classified into NBS-LRR, TIR-NBS, CC-NBS, NBS
Phylogenetic analysis revealed that most non-TIR-NBS type genes and TIR-NBS genes were divided into two clear groups (Fig. 1), and this phenomenon remained consistent in the separate analysis of P. bretschneideri and P. communis (Additional file 1, Figure S1, S2). This analysis further showed that most NB-ARC domains were located at similar positions on the genes, with lengths ranging from 250 to 300 bp. The position, number, and length of LRR domains were comparatively more variable in NBS-encoding genes. In addition, a large number of clades specific to P. bretschneideri and P. communis were displayed on the phylogenetic tree. Many species-specific genes and the differences in the numbers of NBS-encoding genes might have appeared after the divergence of Asian and European pears [3].
Promoter region (~ 1500 bp) analysis identified 128 different kinds of cis-elements in the NBS-encoding gene families of P. bretschneideri and P. communis, with 16 cis-elements having frequency more than 40% among them (Table 2). The CAAT-box, TATA-box, and MYC cis-elements showed highest enrichment in the promoters of NBS-encoding genes of both P. bretschneideri and P. communis. These 16 cis-elements were associated with response to various environmental factors (light, temperature, water and anaerobic stresses) and plant hormones (jasmonic acid, methyl ester, ethylene and salicylic acid). Interestingly, five types of cis-elements only appeared in P. communis; two of them were H-box and JERE, which regulate defense and jasmonate-responsive genes.
Table 2.
Cis-element name | Sequence | Putative response | Frequencya | |
---|---|---|---|---|
‘Dangshansuli’ | ‘Bartlett’ | |||
CAAT-box | CCAAT | Seed | 1.00 | 1.00 |
TATA-box | TATAA | core promoter element | 1.00 | 1.00 |
MYC | CATTTG | Cold | 0.95 | 0.96 |
ARE | AAACCA | anaerobium | 0.75 | 0.74 |
STRE | AGGGG | Stress | 0.72 | 0.73 |
ABRE | ACGTG | ABA | 0.69 | 0.74 |
Box 4 | ATTAAT | Light | 0.69 | 0.72 |
CGTCA-motif | CGTCA | MeJA | 0.67 | 0.75 |
TGACG-motif | TGACG | MeJA | 0.67 | 0.75 |
TCT-motif | TCTTAC | Light | 0.48 | 0.51 |
GT1-motif | GGTTAA | Light | 0.49 | 0.46 |
MBS | CAACTG | Drought | 0.49 | 0.52 |
ERE | ATTTCATA | Ethylene | 0.46 | 0.49 |
W box | TTGACC |
phytochrome down-regulation |
0.43 | 0.45 |
LTR | CCGAAA | low-temperature | 0.41 | 0.46 |
TCA-element | CCATCTTTTT | salicylic acid | 0.39 | 0.49 |
aFrequency = Genes (containing this cis-element)/All NBS-encoding genes in Dangshansuli (Bartlett). Cis-elements on upstream 1500 bp sequence of NBS genes were identified by Plant CARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) program. Genome sequences of Dangshansuli and Bartlett were downloaded from NJAU (http://peargenome.njau.edu.cn/) and phytozome database (https://phytozome.jgi.doe.gov/)
Genome-wide distribution and duplication of NBS-encoding genes
In P. bretschneideri, a total of 265 NBS-encoding genes were mapped to the 17 chromosomes and the remaining 73 genes were placed on scaffolds (Additional file 2). In the mapped genes, the highest number, 151 genes (56.98%), were located on four chromosomes; Chr2 (37), Chr5 (52), Chr7 (59), and Chr11 (50) (Fig. 2a). In P. communis, 408 NBS-encoding genes were mapped onto the 17 chromosomes, while 4 genes were on the unplaced scaffolds. As in P. bretschneideri, four chromosomes, Chr2 (52), Chr5 (42), Chr7 (58), Chr11 (41), had the highest proportion of the total NBS-encoding genes (Fig. 2b). A set of 40.38% (21/52) NBS-encoding genes on Chr2 co-localized with the previously detected fire blight disease resistance QTL of P. communis (Additional file 3) [13, 16, 17, 22, 33–35]. In addition, 30% (15/50) NBS-encoding genes on Chr11 were located within the black spot disease resistance QTL of P. bretschneideri (Additional file 3).
To detect the potential mechanism of expansion, we analyzed the duplication events of NBS-encoding genes in the P. communis and P. bretschneideri genomes. Each member of the NBS-encoding gene family was divided into five different categories: singleton, WGD or segmental, tandem, proximal, or dispersed. We found that 21,493 (50.20%) genes in the P. bretschneideri genome and 20,250 (54.08%) genes in the P. communis genome (data not shown) were primarily derived from WGD or segmental duplications. However, only 23.96% of NBS-encoding genes in P. bretschneideri and 19.90% in P. communis were duplicated and retained from WGD events. These results indicated that the percentage of NBS-encoding genes derived from dispersed and proximal duplication were 27.81 and 28.11% in P. bretschneideri, and 20.15 and 40.05% in P. communis, respectively (Additional file 4).
Time of duplication events and selection pressure in NBS-encoding genes
By estimating evolutionary dates with the synonymous substitution rate per site (Ks), we identified that pear genome had undergone two WGD events [1]; an ancient WGD (Ks ~ 1.5–1.8) that occurred about 140 MYA ago [36], and a recent WGD (Ks ~ 0.15–0.3) event that may have occurred 30–45 MYA ago [1]. In P. bretschneideri, a total of 60 duplicated NBS-encoding gene pairs located on the collinear blocks were identified and, out of them, Ks values of 16 gene pairs (26.66%) ranged from 0.15–0.30 (Fig. 3a) [1]. As such, P. communis had 61 duplicated NBS-encoding gene pairs (Fig. 3a) and Ks values of 13 (21.31%) of these genes ranged from 0.15–0.30. The duplicated gene pairs derived from ancient WGD events have been lost in P. bretschneideri, but three duplicated gene pairs (Ks ~ 1.7) were retained in P. communis.
We further estimated the ratio of non-synonymous (Ka) and synonymous substitutions per site (Ks) to investigate the role of positive and purifying selection in the evolution of NBS-encoding genes. For a total of 60 duplicated gene pairs in P. bretschneideri, the Ka/Ks ratio of 3 pairs was more than 1; the Ka/Ks ratio of the other 57 gene pairs were less than 1 (Additional file 5). Likewise, out of total 61 duplicated pairs in P. communis, only 1 pair had Ka/Ks ratios > 1 while the remaining 60 pairs have Ka/Ks < 1.
A total of 266 orthologous gene pairs were identified between P. bretschneideri and P. communis (Additional file 6), and most orthologous gene pairs were present on the homologous chromosomes of two pear species (Fig. 4). Ks values of these gene pairs ranged from 0.006 to 5.25 (Fig. 3b). In addition, the Ka/Ks values of 266 orthologous gene pairs ranged from 0.15–2.51 (Additional file 7). A set of 42 orthologous gene pairs had Ka/Ks value > 1. These results indicated that about 35.21% NBS-encoding genes of P. bretschneideri had lost their orthologous genes in P. communis, and 17.79% orthologous gene pairs underwent positive selection.
Genetic diversity and selection across NBS-encoding genes in Asian and European pear
An analysis of genetic diversity using genome sequences from 131 Asian and European pear accessions (including 61 wild and 70 cultivated accessions) revealed a total of 50,682 SNPs in NBS-encoding genomic regions, out of which 22,472 SNPs were present in the coding regions. After removing heterozygous SNPs, we obtained 7654 synonymous and 14,481 non-synonymous SNPs, and a non-synonymous/synonymous ratio of 1.89.
The average nucleotide diversity across NBS-encoding genes was 6.02E-03 and 5.65E-03 in the Asian and European populations, and 5.92E-03 and 6.88E-03 in the wild and cultivated groups (Additional file 8), respectively. A similar trend was observed when analysis was repeated using only the coding regions from NBS-encoding genes (Table 3). In general, nucleotide diversity had a wide distribution ranging from 0.02 to 2.19E-05 in Asian and 0.01 to 2.48E-05 in the European pears, respectively (Fig. 5a; Additional file 8). A comparison of cultivated and wild populations revealed that average nucleotide diversity across NBS-encoding genes reduced after domestication in Asian pears, but contrasting results were observed in the European population (Table 3). However, individual NBS gene coding regions showed varied patterns of genetic diversity in wild and cultivated groups in both Asian and European pear populations. About 20% NBS gene coding regions showed a minimum 4-fold loss of nucleotide diversity in cultivated accessions than the wild germplasm in Asian pear (Additional file 8). Similarly, 17.2% of NBS-encoding regions had 4-fold genetic diversity loss during domestication in European pear. A total of 41 NBS-encoding genomic windows having reduction in genetic diversity were common in Asian and European populations (Additional file 8). Further analysis of fixation index across the whole NBS-encoding gene family revealed similar (T test, p-value = 0.31) average fixation index (FST) values in Asian (5.77E-02; Fig. 5b) and European (5.89E-02; Fig. 5c) pear groups. However, similar to nucleotide diversity analysis, specific NBS gene coding regions showed high divergence between wild and cultivated groups in both the pear populations. For example, we found that 6 and 5 genes have FST values more than 0.30 in Asian and European populations, respectively.
Table 3.
Pear accessions—groups (number of samples) | π |
π (Coding region) |
---|---|---|
All (131) | 5.88E-03 | 4.75E-03 |
Wild (61) | 5.92E-03 | 4.82E-03 |
Cultivated (70) | 6.84E-03 | 5.46E-03 |
Asian (71) | 6.02E-03 | 4.74E-03 |
European (60) | 5.65E-03 | 4.76E-03 |
Asian wild (34) | 6.47E-03 | 5.15E-03 |
Asian cultivated (37) | 6.23E-03 | 4.88E-03 |
European wild (27) | 5.91E-03 | 5.02E-03 |
European cultivated (33) | 6.48E-03 | 5.40E-03 |
The nucleotide diversity was calculated by VCFtools with a 1000 bp sliding windows and step size of 500 bp. The sequence data of 131 pear accessions were obtained from previous study [3]
A chi-square analysis revealed that a greater number of significantly (p-value < 0.01) different SNPs appeared in Asian (295) than European (122) population (Table 4; Additional file 9), and the number of non-synonymous SNPs also followed a similar trend (184 vs. 74) (Table 4; Additional file 10). We further calculated the Ka/Ks ratio to investigate positive selection in the 338 NBS-encoding genes. A set of 64 and 60 genes had signatures of positive selection (Ka/Ks > 1) in Asian wild and cultivated groups (Table 4), and 51 genes were noticed in both groups (Additional file 11). A total of 57 and 63 genes had signatures of positive selection (Ka/Ks > 1) in European wild and cultivated group (Table 4), and 51 genes were in both groups. The trend in the number of genes under positive selection was very similar to the nucleotide diversity patterns in the four groups.
Table 4.
Population | Number of significantly different SNPs1 | Number of non-synonymous SNPsa | Number of genes having non-synonymous SNPs | Subpopulation | Genes having signature of positive selectionb |
---|---|---|---|---|---|
Asian | 295 | 184 | 61 | Wild | 64 |
Cultivated | 60 | ||||
European | 122 | 74 | 39 | Wild | 57 |
Cultivated | 63 |
1Significantly different SNPs means this SNP has significant (chi-square test p-value < 0.01) different alleles distribution between wild and cultivated groups. aNon-synonymous SNP means the significantly different SNP was also non-synonymous. bGenes with Ka/Ks ratio more than one were considered as having signature of positive selection in different populations
Expression analysis of genes in wild and cultivated Asian pear
We investigated the expression of a total of 17 genes expression. 16 of 17 genes had more than 2-fold mean Reads Per Kilobase per Million mapped reads (RPKM) difference between two wild pears and two cultivated pears, and another gene (Pbr003344.1) was in black spot disease QTL (Additional file 12). These genes, Pbr019876.1, Pbr039036.1 and Pbr025269.1, had significantly (p-value < 0.01) different SNPs between Asian wild and cultivated pear accessions and showed > 3-fold higher expression in 2 wild accessions than 2 cultivated pears at three different fruit developmental stages from RNA-Seq analysis (Fig. 6).
A quantitative real-time PCR (RT-qPCR) analysis of 17 genes also displayed consistent expression patterns as noticed in the RNA-seq analysis (Fig. 6). To investigate the role of these 17 genes in pathogen response, we compared RNA-seq data of control and A. alternata inoculated groups in accessions of a wild pear (P. calleryana) [20] and a cultivar of ‘Hongfen’ pear (P. pyrifolia) [19] (Additional file 13). Genes Pbr019876.1, Pbr025269.1and Pbr018193.1 had upregulated (> 2-fold) expression in the inoculated than control samples of P. calleryana. The NBS-encoding gene, Pbr003344.1, under black spot disease resistance QTL also had up-regulated (~ 1.9-fold) expression after inoculation of A. alternata in P. calleryana.
A model to identify putative disease resistance in pear
In order to detect the putative formation of resistance in wild and cultivated pear accessions, we combined the analysis of genetic variants, diversity, selection pressure and expression patterns in NBS-encoding genes. It was found that NBS-encoding gene of Pbr025269.1 had 36 significantly (chi-square test p-value < 0.01) different SNPs between Asian wild and cultivated groups (Fig. 7a, b), and one of the SNP mutation caused amino acid change from leucine to tryptophan (Fig. 7a). This gene had higher nucleotide diversity in wild (1.22E-02) than cultivated (6.36E-03) group (Fig. 7c), had high divergence (FST = 0.32) between Asian wild and cultivated groups, and showed a stronger signature of positive selection (Ka/Ks ratio = 2.04) in wild than cultivated (Ka/Ks ratio = 1.06) Asian pear accessions (Fig. 7c). Furthermore, Pbr025269.1 also showed significantly (P value =0.02) different expression between wild and cultivated accessions in Asian pears (Fig. 7d). Expression level of Pbr025269.1 in the A. alternata inoculated P. calleryana (an Asian wild pear) accession was higher than observed in control groups (Fig. 7e), but this up-regulation did not appear in ‘Hongfen’ pear (Asian cultivated pear). Overall, positively selected Pbr025269.1 had significantly different SNPs and gene expression between the wild and domesticated Asian pear accessions.
Discussion
Difference in genetic variation patterns across the NBS-encoding genes between Asian and European pears
The NBS-encoding gene family has the most ancient and prevalent disease resistance genes, which play an important role in protecting plants from infection by diverse pathogens [37]. In this study, we observed a similarity in the distribution patterns and cis-elements types of NBS-encoding genes in P. communis and P. bretschneideri, indicating the conservation of core NBS genes before the divergence of these two pear species. The number of NBS-encoding genes in P. bretschneideri and P. communis were considerably different (338 vs 412), and only 64.79% orthologous NBS-encoding genes were present between them. Both Asian and European pear genomes had almost similar genome content, which did not define the differences in the number of NBS genes observed in this study [1, 32]. These differences might have originated from gene duplication and gene loss events associated with their adaptation to varying environments [38–40] during diversification of Asian and European pears approximately 6.6 and 3.3 MYA [1]. Due to the high heterozygosity and highly repetitive genome (53.1% repetitive sequences) of pear, 73 (21.60%) NBS genes of ‘Dangshansuli’ pear were not mapped to the chromosomes [1]. In addition to the gene gain/loss events, we also noticed higher nucleotide diversity in the cultivated pear group than the wild group from Europe (6.48E-03 vs. 5.91E-03), but the trend was opposite in the Asian population (wild vs. cultivated, 6.47E-03 vs. 6.23E-03). These findings suggest that a domestication-related loss of genetic diversity happened in Asian pear group. In contrast, the higher nucleotide diversity in NBS-encoding genes of cultivated groups in Europe might have occurred due to distinct selection pressure imposed by the cultivated habitats [41]. A recent study has shown that several regions with NBS-encoding genes had higher nucleotide diversity in landraces than the wild pear group [42]. The latter results, along with our findings, indicate that the genetic diversity of similar genes can be altered differently due to preferential selection of traits during independent domestication events as observed in pear [3]. This proposition was further supported by the identification of distinct NBS genes in Asian and European pears that showed reduction in genetic diversity after domestication bottleneck. Overall, the characterization and genetic diversity analysis suggest that NBS-encoding genes have undergone distinct selection pressures in pear due to its independent domestication in Asia and Europe.
The level of differentiation of NBS-encoding genes between wild and cultivated groups between two pear species also differs significantly from some other annual species. For instance, only 6 and 5 NBS-encoding genes show high divergence (FST value > 0.30) between wild and cultivated groups from Asia and Europe, respectively, whereas 17 genes had high FST values (> 0.30) between Indica and nivara rice species [43]. These differences reflect a much longer domestication history (> 10,000 years) of rice [43] than the cultivated pear (~ 3300 years) [44]. The longer generation time and perennial nature might have also led to few sexual generations during pear domestication [3], which is a key factor causing lower divergence of NBS-encoding genes in cultivated and wild pear groups than annual crops.
Positive selection drives the evolution and selection of NBS-encoding genes in Asian and European pears
Ka/Ks ratio of several paralogous gene pairs were greater than one, indicating a positive selection on NBS-encoding gene family in pear. The NBS-encoding regions also had higher nonsynonymous / synonymous ratio (1.89) than the genome averages (1.20), a consistent pattern also seen in rice [41]. Moreover, the number of gene pairs showing signs of positive selection differed between P. communis and P. bretschneideri, with the latter showing comparatively stronger selection and more rapid evolution of NBS-encoding genes. The NBS-encoding genes also exhibited positive selection and rapid evolution in other species [26, 45]. Positive selection facilitates the prevalence of advantageous traits for the evolution of particular species [46–48], hence the signatures of positive selection indicate the increased fitness of NBS-encoding genes to overcome disease pressure by accumulating favorable alleles during evolution. These results also suggest that P. communis and P. bretschneideri, endured different disease pressures during their divergence and domestication. For example, fire blight and brown spot damage was reported in pear production in Europe and west Asia [4–10], while ring rot, bitter rot, and scab infections occurred in China and east Asia [11–14]. The co-evolution with local pathogen populations and distinct disease pressure on pear production in different geographical areas can explain the difference in selection patterns across NBS-encoding genes in Asia and Europe.
We also found that the high percentage of these positively selected genes appeared in both wild and cultivated groups, indicating that these genes may play important roles in both wild and cultivated populations. Furthermore, a high percentage of non-synonymous SNPs showed significant (chi-square test p-value < 0.01) differences in Asian and European populations. These results were consistent with an existing study showing that significant divergent non-synonymous SNPs appeared among M. x domestica and other wild groups [49]. Host plants accumulate non-synonymous mutations to confer resistance against evolving pathogens [50], and higher frequency of these significantly different mutations in Asian and European pears suggest distinct pathogen pressure accompanying their independent domestication [37].
NBS-encoding genes and disease resistance in pear
The presence of 41 NBS-encoding genes in the previously identified disease-related QTL regions indicated their important roles in defense against these diseases. For example, two major QTL have been identified on chromosome 2 for fire blight resistance in ‘Moonglow’ (P. communis) and ‘Harrow Sweet’ (P. communis) pear cultivars [22, 34]. The distribution analysis has identified NBS gene clusters in these two QTL regions. Similarly, 15 NBS-encoding genes were located under the black spot resistance QTL on chromosome 11 of P. bretschneideri. Three NBS-encoding genes (Pbr023226.1, Pbr023227.1, Pbr003344.1) in the black spot QTL regions showed > 1.9-fold expression after A. alternata inoculation in P. calleryana [20]. These gene expression differences were not significant after A. alternata inoculation in a susceptible ‘Hongfen’ pear (P. pyrifolia) [19], suggesting the specificity of gene expression based on the cultivar genetic background. Nonetheless, these expression differences might reflect the disease susceptibility or resistance depending on the genetic background of pear genotypes. Furthermore, the QTL-spanning NBS-encoding genes on chromosome 2 and 11 may serve as important functional candidates to study the genetic mechanisms of disease resistance against fire blight, pear scab and black spot in pear. For example, a detailed analysis identified positive selection and a high differential expression level of Pbr025269.1, a homolog of AT3G07040 to Pseudomonas syringae pv. Maculicola resistance [51, 52], in wild pears. This gene controls cell death at the site of infection [53, 54]. Transcriptome analysis also showed difference in expression of Pbr025269.1 between P. calleryana and ‘Hongfen’ pear (P. pyrifolia) after infection with the A. alternata pathogen [55]. Thus, Pbr025269.1-like gene candidates can serve as functional candidates to fine map a QTL-associated resistance and identifying their role in pathogen defense.
Conclusion
The NBS-encoding gene family evolved through duplication events in P. bretschneideri and P. communis, and proximal duplication has resulted in different numbers of NBS-encoding genes in these two pear species. At a population level, the patterns of genetic diversity and positive selection were different across Asian and European pears. Moreover, several NBS-encoding genes were located under disease resistance QTL regions, indicating their potential role in disease resistance or susceptibility in pear. One specific NBS-encoding gene, Pbr025269.1, has shown signatures of selection, and exhibits high expression levels after inoculation with A. alternata.
Methods
The pear genome was downloaded from Pear Center of Nanjing Agricultural University. The genome resequencing data from 113 pear accessions were obtained from previous study [3], and additional resequencing data from 18 pear accessions were obtained by using similar methods [3]. A total of 131 pear accessions were divided into two populations (Asian population and European population), and further divided into four groups (Asian cultivated group, Asian wild group, European cultivated group and European wild group) for genetic diversity and selection signature analysis.
Identification and classification of NBS-encoding genes
For identification of NBS-encoding genes, the Chinese white pear (P. bretschneideri Rehd. cv. ‘Dangshansuli’) [1] and European pear (P. communis.cv. ‘Bartlett’) [32] amino acid sequences were obtained from Pear Center of Nanjing Agricultural University (http://peargenome.njau.edu.cn/) and phytozome database (https://phytozome.jgi.doe.gov/), respectively. The sequence of NB-ARC domain (PF: 00931) was downloaded from Pfam database (http://pfam.xfam.org/). The software hmmer (version: 3.0) [50] was employed to search candidate NBS-encoding genes using a threshold expectation value of 1, and aiming to find the maximum number of candidate NBS-encoding genes. Also, we selected the candidate NBS-encoding genes (e-value <1E-20) as query sequence and used BLASTP [56] to search NBS-encoding genes separately in both the genomes. Subsequently, each of NBS gene in Arabidopsis was used as query sequence in BLASTP searching against the identified genes from above, and NCBI-Conserved Domain Database (CDD) (https://www.ncbi.nlm.nih.gov/cdd/) was used to identify the NBS domain identity in them. The same strategy was used to identify the NBS-encoding genes in P. communis.
The amino acid sequences of all 750 NBS-encoding genes in P. bretschneideri and P. communis genome were submitted to NCBI-CDD to identify the TIR, and LRR domain. The program COILS was used with a threshold of 0.9 [57] to specifically detect CC (coiled coils) domain in the identified genes.
Alignment and phylogenetic tree analysis of NBS gene family
Clustalw2 [58] was employed to perform multiple alignments of the predicted amino acid sequences of gene coding region. Phylogenetic tree was constructed using the aligned amino acid sequences of the NBS proteins based on the ML (maximum likelihood) method by IQ-TREE (version 1.6.8) [59], and ultrafast bootstraps were estimated with 1000 replicates with default option.
Cis-elements analysis of NBS-encoding genes
Promoters in the upstream 1500 bp regions of NBS-encoding genes were obtained from the pear annotation database [1] and phytozome database (https://phytozome.jgi.doe.gov/pz/portal.html). The Plant CARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) program was used to identify the cis-elements in promoter region of each gene. The same strategy was used to identify the cis-elements in NBS-encoding genes family of P. communis.
Distribution and gene duplications of all NBS genes
Chromosomal locations of genes were displayed by using an in-house Rscript (https://www.r-project.org/). To analyze the NBS-encoding gene duplication events, the protein sequences of whole genomes were downloaded from pear genomic database and phytozome database. BLASTP was used to make an all-vs-all BLAST search (e-value of 1E-5 and top five matches). The BLAST output and the whole genome annotation file were imported to MCScanX [60] to identify homologous pairs, which were used to identify syntenic chains. The parameters were set to default as follows: Match score, 50; Overlap window, 5; Match size, 5; GAP penalty, − 1; E-value, 1E-05; Max GAPs, 25 [61]. Duplicate gene classifier [60], the core function of MCScanX was used to classify all protein-coding genes into five types of duplications including tandem, singleton, WGD/ segmental, dispersed and proximal. BLASTP output and annotation file was used as input files. The assigning procedures were as following: (1) All genes were ranked based on their order along chromosomes and were classified as ‘singletons’, and all BLASTP hit results were evaluated for further classification; (2) If the genes had BLASTP hits to other genes, genes were labeled as dispersed duplicates; (3) If the two genes in a BLASTP hit, and their difference of gene rank was lower than 20 (less than 20 other genes insertion between two genes), then they were labeled as proximal duplicates; (4) If the difference of two genes rank = 1 (no gene insertion between two genes), then they were labeled as tandem duplicates. (5) the anchor genes located in collinear blocks were labeled as WGD/segmental duplicates [60]. Finally, all duplicated genes were classified as a unique class based on the order of priority: WGD/segmental > tandem > proximal > dispersed [60]. We carried out the duplication analysis in both P. bretschneideri and P. communis using the same strategy.
Detection of positive/purifying selection
To detect positive and purifying selection in NBS-encoding gene family, the rate of non-synonymous (Ka) and synonymous (Ks) substitutions was calculated using the Ka/Ks_Calculator2.0 [62] software with MYN method, and the ratio was obtained by dividing the Ka and Ks output from above.
Detection of NBS-encoding genes in disease resistance QTL
QTL information was retrieved from previous studies [13, 16, 17, 22, 33–35]. The marker sequences flanking the disease-related QTL peaks were extracted (Additional file 3), and bowtie2 (version 2.3.3.1) [63] was used to map primer sequences to the reference genomes (P. bretschneideri and P. communis) with the parameter: -f -a -x and max mismatches in seed is 3. The reference genome was selected based on the QTL backgrounds from Asian or European pears. The mapping coordinates from each primer were used to define the amplification regions on pear genomes. Finally, NBS-encoding genes in these QTL flanking regions were identified for further analysis.
SNP calling and screening SNP with significant difference
The software bwa (version 0.7.17-r1188) [64] was used to map the quality-filtered paired-end reads to the genomic sequences of 338 NBS-encoding genes. The potential PCR duplicates were removed from the alignment files using SAMtools (version 1.9) [65]. We used BCFtools (version 1.9) to perform SNP calls [66]. The low-quality SNPs were filtered out with the criteria; QUAL < 20 or DP < 4 or QUAL/DP < 2. The filtered SNP data set was used for further analysis.
After SNP calling, homozygous SNPs with missing rate < 0.1 were selected in 131 pear accessions. SNP genotypes of ‘0/1’ were excepted from the analysis. Chi-square test was performed for the SNPs at each gene locus (excepted genotype of ‘0/1’) in cultivated and wild populations, and the SNP having p-value < 0.01 were defined as significantly different SNP.
Diversity of NBS-encoding genes in four groups
To measure genetic diversity of the NBS-encoding gene family in pear, nucleotide diversity (π) and fixation index (FST) were used as population-differentiation statistics. The analysis was performed to compare the four pear groups (Asian wild, Asian cultivated, European wild, European cultivated). In brief, 338 NBS-encoding genes were combined to form a single sequence scaffold with the sorted order (Additional file 14), and SNPs were identified across them using the above defined methods. Then VCFtools (version 0.1.16) [67] was employed to further screen SNP data with the parameters: max-missing 0.50, maf 0.05. The resulting SNPs were used to calculate the π and FST with a 1000 bp sliding window and a step size of 500 bp across the linear sequence of all 338 NBS-encoding genes. The nucleotide diversity (π) was also calculated separately for the coding regions.
Detecting signatures of selection in special genes
To identify signatures of selection, we calculated the Ka/Ks ratio of all orthologous NBS-encoding gene pairs to identify signatures of positive selection on them. Only SNPs from the coding regions were used form each reference gene. Furthermore, Ka/Ks_calculator2.0 MYN method [62] was used to calculate the Ka and Ks of each orthologous pair in wild and cultivated groups, respectively. Afterwards, sequences with Ks > 0.1 were discarded to avoid paralogs, and the average Ka, Ks and Ka/Ks ratio of each gene was calculated to identify the signatures of selection within specific group. Positive selection of genes was determined with a Ka/Ks ratio of more than one.
Genome-wide expression analysis of the NBS-encoding genes
To investigate the expression of the NBS-encoding genes that have signatures of selection, four pear genotypes representing two cultivated and two wild accessions at three different fruit developmental stages (small, enlarged, and mature) were used. The RNA-seq data of 12 samples were obtained from a previous study [42]. To investigate the expression changes of the NBS-encoding genes after inoculation with A. alternata, RNA-seq data of two pear species (P. calleryana and P. pyrifolia: ‘Hongfen’ pear) were used generated from previous study [19, 20]. RPKM value was used to measure the expression level of NBS-encoding genes. The R package (https://cran.r-project.org/web/packages/pheatmap/) was used to display the expression patterns of these genes.
Real-time PCR analysis
For gene expression validation, four pear accessions (PyW13, PyW14, PyI1 and PyL2) at enlarged stage were chosen for quantitative real time PCR (RT-qPCR) analysis. For expression validation of Pbr025269.1 with RT-qPCR, ten Asian cultivated (PyL2, PyL7, PyL8, PyL9, PyL10, PyL11, PyI1, PyI9, PyI11, PyI14) and seven Asian wild (PyW5, PyW6, PyW7, PyW9, PyW12, PyW13, PyW14) pear accessions were chosen from a previous study [42]. Plant Total RNA Isolation Kit plus was used to extract total RNA from pear fruits at the enlarged stage, and DNase I was used to remove the genomic DNA contamination. About 1 μg of total RNA was used for cDNA synthesis by using TransScript One-Step gDNA Removal and cDNA Synthesis SuperMix (TransGen Biotech Co. Ltd.) according to the manufacturer’s protocol. Primer5.0 was used to design primer sequences for gene amplification (Additional file 15). The SYBR®Green Premix kit (TaKaRa Biotechnology, Dalian, China) was used to carry out the analysis of RT-qPCR, and the PCR mixture was composed as follows: 150 ng of cDNA, 2.5 μl of each primer (10 μM), 10 μl of 2 × SYBR Premix ExTaq TM, and 5 μl of RNase-free water. The RT-qPCR started with 10 min at 95 °C, followed by 45 cycles of 95 °C for 15 s, 60 °C for 30 s and finally 72 °C for 30s. The expression level of selected NBS-encoding genes was calculated by using 2–ΔΔCt method and normalized to the Pyrus GAPDH gene [42].
Supplementary Information
Acknowledgments
The authors would like to thank everyone who contributed to this article.
Authors’ contributions
MYS, MYZ and JS drafted the manuscript. MYS collected the public dataset and performed bioinformatics analysis. BBS contributed to data analysis. ZKT and JML worked for fruit samples collection, RNA extraction, RT-qPCR experiment and gene expression analysis. YYL, RZW and MFQ reviewed the manuscript. JW and AK conceived this study and prepared the manuscript. All authors read and approved the final manuscript.
Funding
This work was funded by the Earmarked Fund for Jiangsu Agricultural Industry Technology System (JATS[2018]277), National Natural Science Foundation of China (31820103012, 31672111), the Earmarked Fund for China Agriculture Research System (CARS-28). This research was partially supported by the Federal Capacity Hatch Funds managed by the New York State Agricultural Experiment Station (NYSAES), Cornell University, Geneva, New York, USA.
Availability of data and materials
The P. bretschneideri genome datasets used in this study are available in our pear center website (http://peargenome.njau.edu.cn/). The genome and amino acid sequences of P. communis were downloaded from the phytozome database (https://phytozome.jgi.doe.gov/pz/portal.html). Raw WGS data of all pear accessions were downloaded from NCBI BioProject (PRJNA381668, PRJNA675194). The RNA-seq data were obtained from the NCBI SRA database (PRJNA393405, PRJNA271833, PRJNA662252). The Rscript to draw the chromosome location was submitted to (https://github.com/bioinformatic1996512/NBS).
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Manyi Sun and Mingyue Zhang contributed equally to this work.
Contributor Information
Awais Khan, Email: awais.khan@cornell.edu.
Jun Wu, Email: wujun@njau.edu.cn.
References
- 1.Wu J, Wang Z, Shi Z, Zhang S, Ming R, Zhu S, Khan MA, Tao S, Korban SS, Wang H, et al. The genome of the pear (Pyrus bretschneideri Rehd.) Genome Res. 2013;23(2):396–408. doi: 10.1101/gr.144311.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rubtsov GA. Geographical Distribution of the Genus Pyrus and Trends and Factors in Its Evolution. Am Nat. 1944;78(777):358–366. doi: 10.1086/281206. [DOI] [Google Scholar]
- 3.Wu J, Wang Y, Xu J, Korban SS, Fei Z, Tao S, Ming R, Tai S, Khan AM, Postman JD, et al. Diversification and independent domestication of Asian and European pears. Genome Biol. 2018;19(1):77. doi: 10.1186/s13059-018-1452-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Llorente I, Montesinos E. Brown spot of pear: an emerging disease of economic importance in Europe. Plant Dis. 2006;90(11):1368–1375. doi: 10.1094/PD-90-1368. [DOI] [PubMed] [Google Scholar]
- 5.Llorente I, Moragrega C, Ruz L, Montesinos E. An update on control of brown spot of pear. Trees (Berl West) 2012;26(1):239–245. doi: 10.1007/s00468-011-0607-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shtienberg D, Manulis-Sasson S, Zilberstaine M, Oppenheim D, Shwartz H. The incessant Battle against fire blight in pears: 30 years of challenges and successes in managing the disease in Israel. Plant Dis. 2015;99(8):1048–1058. doi: 10.1094/PDIS-01-15-0101-FE. [DOI] [PubMed] [Google Scholar]
- 7.Shin DS, Heo GI, Son SH, Oh CS, Lee YK, Cha JS. Development of an improved loop-mediated isothermal amplification assay for on-site diagnosis of fire blight in apple and pear. Plant Pathol J. 2018;34(3):191–198. doi: 10.5423/PPJ.FT.03.2018.0055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bastas KK, Sahin F. First report of fire blight caused by Erwinia amylovora on meadowsweet (Spirea prunifolia) in Turkey. Plant Dis. 2014;98(1):153. doi: 10.1094/PDIS-03-13-0220-PDN. [DOI] [PubMed] [Google Scholar]
- 9.Jock S, Wensing A, Pulawska J, Drenova N, Dreo T, Geider K. Molecular analyses of Erwinia amylovora strains isolated in Russia, Poland, Slovenia and Austria describing further spread of fire blight in Europe. Microbiol Res. 2013;168(7):447–454. doi: 10.1016/j.micres.2013.01.008. [DOI] [PubMed] [Google Scholar]
- 10.Bobev SG, Baeyen S, Crepel C, Maes M. First report of fire blight caused by Erwinia amylovora on Pyracantha coccinea in Bulgaria. Plant Dis. 2004;88(4):427. doi: 10.1094/PDIS.2004.88.4.427A. [DOI] [PubMed] [Google Scholar]
- 11.Li HN, Jiang JJ, Hong N, Wang GP, Xu WX. First report of Colletotrichum fructicola causing bitter rot of pear (Pyrus bretschneideri) in China. Plant Dis. 2013;97(7):1000. doi: 10.1094/PDIS-01-13-0084-PDN. [DOI] [PubMed] [Google Scholar]
- 12.Gu X, Zhao J, Wang H, Lin FC, Guo Q, Shrivastava N, Jeewon R. ATMT transformation efficiencies with native promoters in Botryosphaeria kuwatsukai causing ring rot disease in pear. World J Microbiol Biotechnol. 2018;34(12):179. doi: 10.1007/s11274-018-2559-8. [DOI] [PubMed] [Google Scholar]
- 13.Terakami S, Moriya S, Adachi Y, Kunihisa M, Nishitani C, Saito T, Abe K, Yamamoto T. Fine mapping of the gene for susceptibility to black spot disease in Japanese pear (Pyrus pyrifolia Nakai) Breed Sci. 2016;66(2):271–280. doi: 10.1270/jsbbs.66.271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Choi ED, Kim GH, Park SY, Hoon Song J, Lee YS, Jung JS, Koh YJ. Genetic diversity of the pear scab fungus Venturia nashicola in Korea. Mycobiology. 2019;47(1):76–86. doi: 10.1080/12298093.2019.1572263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Pierantoni L, Dondini L, Cho KH, Shin IS, Gennari F, Chiodini R, Tartarini S, Kang SJ, Sansavini S. Pear scab resistance QTLs via a European pear (Pyrus communis) linkage map. Tree Genet Genomes. 2007;3(4):311–317. doi: 10.1007/s11295-006-0070-0. [DOI] [Google Scholar]
- 16.Terakami S, Shoda M, Adachi Y, Gonai T, Kasumi M, Sawamura Y, Iketani H, Kotobuki K, Patocchi A, Gessler C, et al. Genetic mapping of the pear scab resistance gene Vnk of Japanese pear cultivar Kinchaku. Theor Appl Genet. 2006;113(4):743–752. doi: 10.1007/s00122-006-0344-9. [DOI] [PubMed] [Google Scholar]
- 17.Bokszczanin K, Dondini L, Przybyla AA. First report on the presence of fire blight resistance in linkage group 11 of Pyrus ussuriensis maxim. J Appl Genet. 2009;50(2):99–103. doi: 10.1007/BF03195660. [DOI] [PubMed] [Google Scholar]
- 18.Dondini L, Pierantoni L, Gaiotti F, Chiodini R, Tartarini S, Bazzi C, Sansavini S. Identifying QTLs for fire-blight resistance via a European pear (Pyrus communis L.) genetic linkage map. Mol Breed. 2004;14(4):407–418. doi: 10.1007/s11032-004-0505-y. [DOI] [Google Scholar]
- 19.Yang X, Hu H, Yu D, Sun Z, He X, Zhang J, Chen Q, Tian R, Fan J. Candidate resistant genes of sand pear (Pyrus pyrifolia Nakai) to Alternaria alternata revealed by Transcriptome sequencing. PLoS One. 2015;10(8):e0135046. doi: 10.1371/journal.pone.0135046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kan J, Liu T, Ma N, Li H, Li X, Wang J, Zhang B, Chang Y, Lin J. Transcriptome analysis of Callery pear (Pyrus calleryana) reveals a comprehensive signalling network in response to Alternaria alternata. PLoS One. 2017;12(9):e0184988. doi: 10.1371/journal.pone.0184988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Abe K, Saito T, Terai O, Sato Y, Kotobuki K. Genotypic difference for the susceptibility of Japanese, Chinese and European pears to Venturia nashicola, the cause of scab on Asian pears. Plant Breed. 2008;127(4):407–412. doi: 10.1111/j.1439-0523.2007.01482.x. [DOI] [Google Scholar]
- 22.Montanari S, Perchepied L, Renault D, Frijters L, Velasco R, Horner M, Gardiner SE, Chagne D, Bus VGM, Durel CE, et al. A QTL detected in an interspecific pear population confers stable fire blight resistance across different environments and genetic backgrounds. Mol Breed. 2016;36(4):1-16.
- 23.van Ooijen G, van den Burg HA, Cornelissen BJ, Takken FL. Structure and function of resistance proteins in solanaceous plants. Annu Rev Phytopathol. 2007;45:43–72. doi: 10.1146/annurev.phyto.45.062806.094430. [DOI] [PubMed] [Google Scholar]
- 24.McHale L, Tan X, Koehl P, Michelmore RW. Plant NBS-LRR proteins: adaptable guards. Genome Biol. 2006;7(4):212. doi: 10.1186/gb-2006-7-4-212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.DeYoung BJ, Innes RW. Plant NBS-LRR proteins in pathogen sensing and host defense. Nat Immunol. 2006;7(12):1243–1249. doi: 10.1038/ni1410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Jia Y, Yuan Y, Zhang Y, Yang S, Zhang X. Extreme expansion of NBS-encoding genes in Rosaceae. BMC Genet. 2015;16(1):48. doi: 10.1186/s12863-015-0208-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhong Y, Yin H, Sargent D, Malnoy M, Z-MJBG C. Species-specific duplications driving the recent expansion of NBS-LRR genes in five Rosaceae species. BMC Genomics. 2015;16(1):77. [DOI] [PMC free article] [PubMed]
- 28.Arya P, Kumar G, Acharya V, AKJPO S. Genome-Wide Identification and Expression Analysis of NBS-Encoding Genes in Malus x domestica and Expansion of NBS Genes Family in Rosaceae. PLoS One. 2014;9(9):e107987. doi: 10.1371/journal.pone.0107987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Perazzolli M, Malacarne G, Baldo A, Righetti L, Bailey A, Fontana P, Velasco R, Malnoy MJPO. Characterization of Resistance Gene Analogues (RGAs) in Apple (Malus x domestica Borkh.) and Their Evolutionary History of the Rosaceae Family. PLoS One. 2014;9:e83844. doi: 10.1371/journal.pone.0083844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Li J, Ding J, Zhang W, Zhang Y, Tang P, Chen JQ, Tian D, Yang S. Unique evolutionary pattern of numbers of gramineous NBS-LRR genes. Mol Gen Genomics. 2010;283(5):427–438. doi: 10.1007/s00438-010-0527-6. [DOI] [PubMed] [Google Scholar]
- 31.Yang S, Li J, Zhang X, Zhang Q, Huang J, Chen JQ, Hartl DL, Tian D. Rapidly evolving R genes in diverse grass species confer resistance to rice blast disease. Proc Natl Acad Sci U S A. 2013;110(46):18572–18577. doi: 10.1073/pnas.1318211110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Linsmith G, Rombauts S, Montanari S, Deng CH, Celton J-M, Guérif P, Liu C, Lohaus R, Zurn JD, Cestaro A, et al. Pseudo-chromosome length genome assembly of a double haploid ‘Bartlett’ pear (Pyrus communis L.) 2019. p. 651778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Perchepied L, Leforestier D, Ravon E, Guerif P, Denance C, Tellier M, Terakami S, Yamamoto T, Chevalier M, Lespinasse Y, et al. Genetic mapping and pyramiding of two new pear scab resistance QTLs. Mol Breed. 2015;35(10):197.
- 34.Le Roux PMF, Christen D, Duffy B, Tartarini S, Dondini L, Yamamoto T, Nishitani C, Terakami S, Lespinasse Y, Kellerhals M, et al. Redefinition of the map position and validation of a major quantitative trait locus for fire blight resistance of the pear cultivar 'Harrow Sweet' (Pyrus communis L.) Plant Breed. 2012;131(5):656–664. doi: 10.1111/j.1439-0523.2012.02000.x. [DOI] [Google Scholar]
- 35.Cappai F, De Franceschi P, Ciriani A, Collina M, Dondini L. QTLs for susceptibility to Stemphylium vesicarium in pear. Mol Breed. 2018;38(3):24.
- 36.Fawcett JA, Maere S, Van de Peer Y. Plants with double genomes might have had a better chance to survive the cretaceous-tertiary extinction event. P Natl Acad Sci USA. 2009;106(14):5737–5742. doi: 10.1073/pnas.0900906106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mcdowell JM, Simon SA. Recent insights into R gene evolution. Mol Plant Pathol. 2010;7(5):437–448. doi: 10.1111/j.1364-3703.2006.00342.x. [DOI] [PubMed] [Google Scholar]
- 38.Xu M, Chen F, Qi S, Zhang L, Wu S. Loss or duplication of key regulatory genes coincides with environmental adaptation of the stomatal complex in Nymphaea colorata and Kalanchoe laxiflora. Hortic Res. 2018;5:42. doi: 10.1038/s41438-018-0048-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Golicz AA, Bayer PE, Barker GC, Edger PP, Kim H, Martinez PA, Chan CK, Severn-Ellis A, McCombie WR, Parkin IA, et al. The pangenome of an agronomically important crop plant Brassica oleracea. Nat Commun. 2016;7:13390. doi: 10.1038/ncomms13390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zhong Y, Zhang XH, Cheng ZM. Lineage-specific duplications of NBS-LRR genes occurring before the divergence of six Fragaria species. BMC Genomics. 2018;19:128. doi: 10.1186/s12864-018-4521-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Xu X, Liu X, Ge S, Jensen JD, Hu F, Li X, Dong Y, Gutenkunst RN, Fang L, Huang L, et al. Resequencing 50 accessions of cultivated and wild rice yields markers for identifying agronomically important genes. Nat Biotechnol. 2011;30(1):105–111. doi: 10.1038/nbt.2050. [DOI] [PubMed] [Google Scholar]
- 42.Li X, Liu L, Ming M, Hu H, Zhang M, Fan J, Song B, Zhang S, Wu J. Comparative Transcriptomic analysis provides insight into the domestication and improvement of pear (P. pyrifolia) fruit. Plant Physiol. 2019;180(1):435–452. doi: 10.1104/pp.18.01322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kovach MJ, Sweeney MT, McCouch SR. New insights into the history of rice domestication. Trends Genet. 2007;23(11):578–587. doi: 10.1016/j.tig.2007.08.012. [DOI] [PubMed] [Google Scholar]
- 44.Yamamoto T, Terakami S. Genomics of pear and other Rosaceae fruit trees. Breed Sci. 2016;66(1):148–159. doi: 10.1270/jsbbs.66.148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Lam HM, Xu X, Liu X, Chen W, Yang G, Wong FL, Li MW, He W, Qin N, Wang B, et al. Resequencing of 31 wild and cultivated soybean genomes identifies patterns of genetic diversity and selection. Nat Genet. 2010;42(12):1053–1059. doi: 10.1038/ng.715. [DOI] [PubMed] [Google Scholar]
- 46.Yang Z, Nielsen R. Codon-substitution models for detecting molecular adaptation at individual sites along specific lineages. Mol Biol Evol. 2002;19(6):908–917. doi: 10.1093/oxfordjournals.molbev.a004148. [DOI] [PubMed] [Google Scholar]
- 47.Zheng F, Wu H, Zhang R, Li S, He W, Wong FL, Li G, Zhao S, Lam HM. Molecular phylogeny and dynamic evolution of disease resistance genes in the legume family. BMC Genomics. 2016;17:402. doi: 10.1186/s12864-016-2736-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Sabeti PC, Schaffner SF, Fry B, Lohmueller J, Varilly P, Shamovsky O, Palma A, Mikkelsen TS, Altshuler D, Lander ES. Positive natural selection in the human lineage. Science. 2006;312(5780):1614–1620. doi: 10.1126/science.1124309. [DOI] [PubMed] [Google Scholar]
- 49.Duan N, Bai Y, Sun H, Wang N, Ma Y, Li M, Wang X, Jiao C, Legall N, Mao L, et al. Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement. Nat Commun. 2017;8(1):249. doi: 10.1038/s41467-017-00336-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Eddy SR. A new generation of homology search tools based on probabilistic inference. Genome Inform. 2009;23(1):205–211. [PubMed] [Google Scholar]
- 51.Keinath AP, Wechter WP, Smith JP. First Report of Bacterial Leaf Spot on Leafy Brassica Greens Caused by Pseudomonas syringae pv. maculicola in South Carolina. Plant Dis. 2006;90(5):683. doi: 10.1094/PD-90-0683C. [DOI] [PubMed] [Google Scholar]
- 52.El Kasmi F, Chung EH, Anderson RG, Li J, Wan L, Eitas TK, Gao Z, Dangl JL. Signaling from the plasma-membrane localized plant immune receptor RPM1 requires self-association of the full-length protein. Proc Natl Acad Sci U S A. 2017;114(35):E7385–E7394. doi: 10.1073/pnas.1708288114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Boyes DC, Nam J, Dangl JL. The Arabidopsis thaliana RPM1 disease resistance gene product is a peripheral plasma membrane protein that is degraded coincident with the hypersensitive response. Proc Natl Acad Sci U S A. 1998;95(26):15849–15854. doi: 10.1073/pnas.95.26.15849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Grant M, Brown I, Adams S, Knight M, Ainslie A, Mansfield J. The RPM1 plant disease resistance gene facilitates a rapid and sustained increase in cytosolic calcium that is necessary for the oxidative burst and hypersensitive cell death. Plant J. 2000;23(4):441–450. doi: 10.1046/j.1365-313x.2000.00804.x. [DOI] [PubMed] [Google Scholar]
- 55.Buckley J, Kilbride E, Cevik V, Vicente JG, Holub EB, Mable BK. R-gene variation across Arabidopsis lyrata subspecies: effects of population structure, selection and mating system. BMC Evol Biol. 2016;16:93. doi: 10.1186/s12862-016-0665-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. BLAST+: architecture and applications. BMC Bioinformatics. 2009;10:421. doi: 10.1186/1471-2105-10-421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Mace E, Tai S, Innes D, Godwin I, Hu W, Campbell B, Gilding E, Cruickshank A, Prentis P, Wang J, et al. The plasticity of NBS resistance genes in sorghum is driven by multiple evolutionary processes. BMC Plant Biol. 2014;14(1):253. doi: 10.1186/s12870-014-0253-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Larkin MA, Blackshields G, Brown NP, Chenna R, PA MG, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007;23(21):2947–2948. doi: 10.1093/bioinformatics/btm404. [DOI] [PubMed] [Google Scholar]
- 59.Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32(1):268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wang Y, Tang H, Debarry JD, Tan X, Li J, Wang X, Lee TH, Jin H, Marler B, Guo H, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):e49. doi: 10.1093/nar/gkr1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Tang H, Wang X, Bowers JE, Ming R, Alam M, Paterson AH. Unraveling ancient hexaploidy through multiply-aligned angiosperm gene maps. Genome Res. 2008;18(12):1944–1954. doi: 10.1101/gr.080978.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Wang D, Zhang Y, Zhang Z, Zhu J, Yu J. KaKs_Calculator 2.0: a toolkit incorporating gamma-series methods and sliding window strategies. Genomics Proteomics Bioinform. 2010;8(1):77–80. doi: 10.1016/S1672-0229(10)60008-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Langmead B, Salzberg SL. Fast gapped-read alignment with bowtie 2. Nat Methods. 2012;9(4):357–359. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Li H. Exploring single-sample SNP and INDEL calling with whole-genome de novo assembly. Bioinformatics. 2012;28(14):1838–1844. doi: 10.1093/bioinformatics/bts280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. Genome Project Data Processing S: The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data. Bioinformatics. 2011;27(21):2987–2993. doi: 10.1093/bioinformatics/btr509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, et al. The variant call format and VCFtools. Bioinformatics. 2011;27(15):2156–2158. doi: 10.1093/bioinformatics/btr330. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The P. bretschneideri genome datasets used in this study are available in our pear center website (http://peargenome.njau.edu.cn/). The genome and amino acid sequences of P. communis were downloaded from the phytozome database (https://phytozome.jgi.doe.gov/pz/portal.html). Raw WGS data of all pear accessions were downloaded from NCBI BioProject (PRJNA381668, PRJNA675194). The RNA-seq data were obtained from the NCBI SRA database (PRJNA393405, PRJNA271833, PRJNA662252). The Rscript to draw the chromosome location was submitted to (https://github.com/bioinformatic1996512/NBS).