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Copyright © 2008 by the Genetics Society of America Genomic Organization, Rapid Evolution and Meiotic Instability of Nucleotide-Binding-Site-Encoding Genes in a New Fruit Crop, “Chestnut Rose” *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, Hubei, People's Republic of China and †Guizhou Key Laboratory of Agricultural Bioengineering, Guizhou University, Guiyang 550025, Guizhou, People's Republic of China 1Corresponding author: National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Lion St. no.1, Wuhan 430070, People's Republic of China. E-mail: xxdeng/at/mail.hzau.edu.cn Communicating editor: J. A. Birchler Received December 25, 2007; Accepted January 22, 2008. Abstract From chestnut rose, a promising fruit crop of the Rosa genus, powdery mildew disease-resistant and susceptible genotypes and their F1 progeny were used to isolate nucleotide-binding-site (NBS)-encoding genes using 19 degenerate primer pairs and an additional cloning method called overlapping extension amplification. A total of 126 genes were harvested; of these, 38 were from a resistant parent, 37 from a susceptible parent, and 51 from F1 progeny. A phylogenetic tree was constructed, which revealed that NBS sequences from parents and F1 progeny tend to form a mixture and are well distributed among the branches of the tree. Mapping of these NBS genes suggested that their organization in the genome is a “tandem duplicated cluster” and, to a lesser extent, a “heterogeneous cluster.” Intraspecific polymorphisms and interspecific divergence were detected by Southern blotting with NBS-encoding genes as probes. Sequencing on the nucleotide level revealed even more intraspecific variation: for the R4 gene, 9.81% of the nucleotides are polymorphic. Amino acid sites under positive selection were detected in the NBS region. Some NBS-encoding genes were meiotically unstable, which may due to recombination and deletion events. Moreover, a transposon-like element was isolated in the flanking region of NBS genes, implying a possible role for transposon in the evolutionary history of resistance genes. PLANTS utilize two distinct defense systems to recognize and respond to pathogen challenges (Chisholm et al. 2006; DeYoung and Innes 2006; Jones and Dangl 2006). The first line of defense against pathogens is basal defense, which uses pattern recognition receptors to recognize pathogen-associated molecular patterns, the common features of pathogens such as bacterial flagellin. The second line of defense acts strongly to specifically recognize pathogen effectors, using resistance (R) genes. Many R genes have now been cloned from a wide variety of plant species (Hammond-Kosack and Jones 1997; Dangl and Jones 2001), of which the largest class encodes a nucleotide-binding site (NBS) and a series of carboxy-terminal leucine-rich repeats (LRRs). The NBS domain contains several strictly ordered motifs—i.e., P-loop, kinase-2, kinase-3a, and Gly--Leu--pro--Leu (GLPL) motifs—that are highly conserved across plant species; they therefore have been used extensively to identify and classify NBS-encoding genes. By using PCR amplification with degenerate primers targeted to these conserved motifs, a large number of NBS sequences with homology to R genes, so-called R-gene homologs (RGHs), have been isolated from various plant species (Kanazin et al. 1996; Yu et al. 1996; Collins et al. 1998; Leister et al. 1998; Shen et al. 1998; Zhu et al. 2002; Ashfield et al. 2003). RGHs are abundant in plant genomes. Approximately 160, for example, are present in the Arabidopsis genome (Meyers et al. 2003). Genetic analysis has shown that RGHs tend to occur in clusters and often map to major resistance genes or quantitative trait loci (QTL; Kanazin et al. 1996; Collins et al. 1998; Young 2000; Donald et al. 2002; Ashfield et al. 2003; Calenge et al. 2005; Welter et al. 2007). The large number of RGH sequences provides a facile system for studying the evolution of this gene family across plant taxa (Grube et al. 2000; Pan et al. 2000b; Bai et al. 2002; Meyers et al. 2003; see review in McHale et al. 2006). After analysis of >400 NBS-encoding homologs of 26 genera, Meyers et al. (1999) demonstrated that in genomes these RGHs frequently reside in “mega-clusters” consisting of smaller clusters with several members each, and they phylogenetically fall into two distinct groups: Toll and interleukin-1 receptor (TIR) and non-TIR subfamilies. Cannon et al. (2002) investigated an even larger number of sequences—800 RGHs from 30 genera—and suggested that evolutionary histories are different for the TIR and non-TIR subfamilies. With the increasing information in databases and the growing power of computational biology, researchers have shifted their focus to the comparative genetics of RGHs on/within the family level. Comparative analysis of tomato and Arabidopsis revealed remarkably rapid evolution of RGHs during radiation of plant families (Pan et al. 2000a). In a more in-depth study, Plocik et al. (2004) comparatively analyzed the RGHs within a specific family (Asteraceae) and indicated that gene duplication and loss events occur and change the composition of these gene subfamilies over time. Comparative analyses continued to be further applied in RGHs within a specific species, most of which concentrated on wild and cultivated plants such as apple (Lee et al. 2003), strawberry (Martinez Zamora et al. 2004), and potato (Kuang et al. 2005). However, relatively few studies have comparatively analyzed RGH patterns between resistant and susceptible lines within a fruit tree species, and the behaviors of these RGHs during meiosis have been ignored. Chestnut rose, a rare fruit crop in southwest China, belongs to the Rosaceae family and Rosa genus (Figure 1
In this study, we aim to clone RGHs from resistant and susceptible genotypes of chestnut rose (Rosa roxburghii) and their F1 progeny for comparative analysis of polymorphisms of the RGHs to identify genetic parameters relevant to the resistance specificity properties. Genetic mapping and evolutionary analysis provide us with insights into the genomic organization and evolutionary pattern of RGHs in the chestnut rose genome and allow us to detect amino acid sites under positive selection in the NBS-coding region. A transposon-like element was isolated in the flanking region of the NBS domain. In addition, some RGH meiotic stability was investigated. MATERIALS AND METHODS Plant materials: R. roxburghii cv. Guinong no. 6 (a powdery mildew disease-resistant genotype) and R. roxburghii cv. Guinong no. 5 (susceptible genotype) and an F1 population of 109 plants derived from an intraspecific cross between them were used for molecular cloning, genetic mapping, and powdery mildew disease phenotyping. Disease phenotypes were evaluated as previously reported (Xu et al. 2005). Isolation of NBS-encoding genes from resistant genotype, susceptible genotype, and their F1 progeny: For resistant and susceptible parents, genomic DNA were extracted and used for PCR amplification. For F1 progeny, bulk DNA was constructed for molecular cloning. RGHs were broadly obtained as much as possible by employing two cloning methods: (1) PCR amplification with 19 degenerate primer pairs targeted to P-loop and GLPL motifs and (2) an overlapping extension approach, which used a target strategy to capture TIR-type RGHs from the genome (Xu et al. 2005). PCR products were cloned into pMD18-T vector (Takara Bio). Recombinant plasmid DNA was extracted by alkaline lysis (Sambrook et al. 1989). Each clone was reamplified with M13 universal primers and then subjected to restriction analysis using three restriction endonucleases (TaqI, HaeIII, and HinfI). On the basis of the restriction patterns, representative clones of each type were used for sequencing in both directions on an ABI 3730 sequencer. For the purpose of comparative analysis, several sets of previously published RGHs from other plant species were used. Sixteen Arabidopsis RGHs were retrieved from At-Rgenes (http://niblrrs.ucdavis.edu/data_links.php) in March 2006. Fifteen NBS sequences were selected from cereal genomes described by Pan et al. (2000b) and 10 sequences from a coniferous species (Pinus monticola) were used to determine whether the chestnut rose NBS gene subfamily had evolved before or after the monocot/dicot and angiosperm/gymnosperm separation. The other sequences were from Medicago truncatula (Zhu et al. 2002), Cicer arietinum, Pennisetum glaucum, Cajanus cajan, Sorghum bicolor (Meyers et al. 1999), and unpublished data from Poncirus trifoliate in our laboratory. Isolation of flanking sequences of NBS-encoding genes: To isolate flanking sequences of NBS-encoding genes, a method similar to GenomeWalker Universal kit (CLONTECH) was used except that thermal asymmetric interlaced PCR (TAIL–PCR) was introduced to eliminate artificial PCR products. An adaptor was designed according to Calenge et al. (2005). The adapter had a short and a long arm, leaving the 5′ part of the adapter single stranded and the 3′ part containing a HpaII endonuclease restriction site that sticks to a digested DNA fragment. Three micrograms of genomic DNA was digested with 50 units of HpaII endonuclease enzymes for 8–16 hr and deactivated at 65° for 10 min. Then the HpaII adapter was ligated to the ends of the digested DNA fragments by adding 40 units of T4 ligase overnight at 16°. The ligated products were used as templates for PCR amplification with an adapter primer and a specific primer in the NBS region. The adapter primer was identical to the single-stranded 5′ part of the HpaII adaptor, and extension of the 3′-end of the short arm in the PCR reaction was effectively blocked by an amino linker. To increase the specificity of PCR products, TAIL–PCR was used (supplemental Table 3). Gene-specific PCR amplification, Southern blotting, and genetic mapping: Forty-two gene-specific primers were designed with primer3 software (http://www-genome.wi.mit.edu/cgi-bm/primer/primer3-www.cgi). The PCR cycling conditions were as follows: 94° for 3 min followed by 32 cycles of 94° for 30 sec, an annealing temperature (supplemental Table 2) for 1 min, and 72° for 1 min. PCR products were separated by electrophoresis on 1.5% agarose gel. Genomic DNA (10 μg) of both parents and a DNA bulk constituted from F1 progeny were digested with six restriction endonucleases (i.e., EcoRI, HindIII, BamHI, EcoRV, DraI, and TaqI). Southern hybridization was performed according to Xu et al. (2005). Molecular markers were scored in the 109 F1 individuals according to Ritter et al. (1990). Linkage analysis and QTL detection were performed using Map Manager QTXb20 (Meer et al. 2004), with the linkage criterion being set at P = 0.05. Sequence analyses: Phylogenetic and evolutionary analyses were carried out according to Xu et al. (2007). Sequences were aligned using CLUSTALX (Thompson et al. 1997) and manually edited in GENEDOC (http://www.psc.edu/biomed/genedoc/). All the sequence statistics were output from GENEDOC, and Duncan's multiple range tests were performed by SPSS11.0 soft (SPSS, Chicago). Neighbor-joining trees using Kimura's two-parameter model and maximum parsimony phylogenetic trees were constructed, and bootstrap numbers were calculated by heuristic search in PAUP* 4.0 (Sinauer Associates, Sunderland, MA). The trees were visualized using the program TREEVIEW (http://taxonomy.zoology.gla.ac.uk/rod/treeview.html). Evidence for positive selection was evaluated by using a maximum-likelihood method (Yang 1997), which allows searches for individual amino acid sites under selection. Site-specific models M7 and M8 in program CODEML from PAML soft were run to detect positive selection at individual sites. Model M7 is a special case of model M8 that assumes no selection, whereas model M8 allows for positively selected sites (Yang et al. 2000). Likelihood ratio tests (LRTs) were used to determine which model fit the observed data. The significance of the LRTs was evaluated by comparing it to a χ2 statistic. When the LRTs were significant, the Bayesian approach was used to calculate posterior probabilities of each positively selected site. Three-dimensional structures for RGHs were constructed by homology modeling using MODELLER software 9v2 (Marti-Renom et al. 2000). The X-ray diffraction structural data from APAF-1 (PDB code 1z6t) were used as template to model the NBS-encoding genes. The sequence alignments of APAF-1 and NBS genes were obtained from PHYRE, a threading service software. Amino acids identified as possible targets of positive selection were mapped onto the three-dimensional structure using VMD software (Humphrey et al. 1996; Tiffin 2004). RESULTS NBS-encoding genes in resistant parent, susceptible parent, and F1 progeny: Fragments of predicted sizes (500–700 bp) were cloned and sequenced from the resistant line (Guinong no. 6), the susceptible line (Guinong no. 5), and their F1 progeny. Of the 150 clones, 126 showed significant similarity (E-values < 10−5) to the known R genes or published RGHs as revealed by BlastX analysis in GenBank. For the remaining 24 sequences, 15 encompassed repetitive elements, while the remaining 9 sequences gave no or weak blast hits in the database (data not shown). Conceptual translations of the above 126 sequences (38 from resistant parents, 37 from susceptible parents, and 51 from F1 progeny) revealed the presence of premature stop codons in 4 clones from the resistant line, 7 clones from the susceptible line, and 19 clones from F1 progeny. Interestingly, the Bk174 pseudogene carried six direct repeat oligos of 18 nucleotides (CAGCCTTCCTTTAGCCCT). The remaining 96 sequences (34 from resistant parents, 30 from susceptible parents, and 32 from F1 progeny) were identified as RGHs by the presence of a continuing open reading frame (ORF) and by characteristic motifs such as GVGKTT (P-loop), LLVLDDVW/D (kinase-2), and GLPL motif (Meyers et al. 1999; Pan et al. 2000b). Moreover, differences were observed in these motifs among genotypes; Sequence logos were made from the P-loop, kinase-2, and GLPL motifs to illustrate the differences among resistant parent, susceptible parent, and F1 progeny (supplemental Figure 2). Sequence diversity was analyzed on nucleotide and amino acid levels (supplemental Table 1). Within genotypes for resistant parents, sequence nucleotide identity averaged 52%; for susceptible parents, it was 57%. Unexpectedly, for the intergenotype between resistant and susceptible, average nucleotide identity was 54%, higher than that within the resistant genotype (supplemental Figure 1). A transposon-like element is proximal to the NBS region: After the HpaII adaptor was ligated to digested DNA fragments, ligated products were used as templates to isolate genes proximal to the NBS-encoding region. Thirteen NBS-specific primers in combination with the adaptor primer were tested by PCR amplification. One primer combination produced a specific product of ~500 bp after three rounds of PCR. Sequencing revealed that this fragment contains the adapter sequence at one end and an NBS primer sequence at the other end, indicating that this procedure efficiently excludes adapter–adapter fragments. The sequence was further characterized by sequence similarity searches in the GenBank databases using BLASTX program. The sequence was highly homologous to a published retrotransposon from Populus trichocarpa, with 66% identity. Southern analysis with this sequence as probe produced a classical pattern of transposon; i.e., a large number of copies and patterns look like smears, further confirming the existence of a transposon gene in the proximal region of NBS-encoding genes (Figure 2
Phylogenetical analysis of the NBS genes from resistant, susceptible parents and the F1 generation: The 96 sequences from chestnut rose and 87 previously published sequences and mammalian apoptosis-related protein Apaf1 (outgroup) were used in phylogenetic analysis. Trees were created by the neighbor-joining method and the reliability of the trees was established by conducting 1000 bootstrap resampling steps (Figure 3
Five NBS genes from susceptible lines, 11 from resistant lines, 2 from F1 progeny, 3 from Arabidopsis, and 2 from Pinus monticola constitute the TIR branch. This TIR branch showed rather distantly clustered nodes, reflecting relative longevity of diversification within species. Some branches contained sequences from M. truncatula, implying that the ancient ancestor of chestnut rose and legumes contained multiple TIR sequences that have since diverged. The phylogenies of the TIR group showed that some chestnut rose TIR-type NBS sequences are phylogenetically closed to Pinus TIR-type sequences, indicating the antiquity of these sequences and that the origin of this gene family may predate the evolutionary split of the plant lineages leading to angiosperms and gymnosperms. The non-TIR branch contains 62 members, with 19 from susceptible lines, 18 from resistant lines, 22 from F1 progeny, 1 from Arabidopsis, and 2 from Oryza sativa. Long branch lengths and closely clustered nodes were observed in this branch, indicating ancient divergence into separate lineages followed by more recent duplication and diversification. The “describetrees” command was used in the PAUP software to output branch-tree-length statistics. The resistant line has a total length of 2001 units for 34 sequences, or 58.8/sequence; the susceptible line has a total length of 1590 units for 30 sequences, or 53.0/sequence; and the F1 progeny have a total length of 2018 units for 32 sequences, or 63.5/sequence. The multiple-comparisons LSD test reveals that tree distances for resistant and susceptible lines and F1 progeny are significantly different, with the difference of 3.2 ± 0.7 unit between resistant/susceptible genotypes. Genetic mapping reveals three clusters of NBS genes in the chestnut rose genome: A sequence-tagged site (STS) marker was used to map the NBS genes because it can be easily applied by designing gene-specific primers. Forty-two gene-specific primer pairs (12 from the resistant genotype, 17 from the susceptible genotype, and 13 from the F1 generation genotype) were designed and used for scoring 109 F1 progeny (supplemental Table 2). Conventional RFLP was also employed to map the genes as previously described (Xu et al. 2005). Eleven representative clones in combination with five restriction endonucleases were used to detect polymorphisms between resistant/susceptible lines. Six clones yielded distinct polymorphisms (Figure 4
Three clusters of NBS genes were obtained (Figure 3 When comparing the mapping data with phylogenic clades, we observed that RGHs from the same phylogenetic clade tend to cluster together. S101, S93, S133, and S107 were closely related in the same clade and sequence similarity between them was >90%; they clustered closely with a genetic distance of ~10 cM in cluster CR2. The same phenomenon could be seen in cluster CR1. This phenomenon suggests that the tandem duplication followed by divergence occurred recently. This kind of cluster was termed the “tandem duplicated cluster” according to Leister (2004). However, sometimes NBS genes from distinguished clades clustered together. For example, in cluster CR1, the R5 gene, phylogenetically belonging to the TIR group, was flanked by Bk89 and Bk66 genes, which are a non-TIR type gene. This kind of cluster was termed the “heterogeneous cluster,” as suggested by Leister (2004). Rapid evolution of NBS-encoding genes in chestnut rose: The RFLP patterns of NBS-encoding genes were quite different between resistant and susceptible genotypes (Figure 4 Interspecific polymorphisms were also revealed from RFLP patterns among R. roxburghii, R. sterilis, and R. chinensis (Figure 4 Positively selected sites were detected in an NBS region: Types of forces that drive natural selection can been inferred from the ratio (ω) of nonsynonymous substitutions (dN) that cause an amino acid change to synonymous substitutions (dS) that do not. Site-specific models M7 and M8 (described in materials and methods) were used to determine the sites under purifying selection (ω < 1), neutral selection (ω ≈ 1), or diversifying selection (ω > 1). Pairwise values of dS and dN indicated an overall scarcity of amino acid substitutions. The average dS for resistant parents, susceptible parents, and the F1 generation ranged from 0.8 to 1.5 (supplemental Table 1), indicating a high sequence divergence according to the criteria described by Yang et al. (2000). Therefore, the ratios (ω) are reliable. Among the 146 sites, most ω are <1, indicating that most of the sites are under purifying selection. However, one residue, 125 H (histidine), was detected to be under strong diversifying selection (ω > 1) with a posterior probability of 92.4%. Other sites, including 47 P (proline), 57 E (glutamic acid), 107 K (lysine), and 127 L (leucine), are likely to be under diversifying selection with probabilities of 60–80% (Table 1; supplemental Figure 3).
Meiotic instability of NBS genes: A fragment deletion event was observed during meiosis. The Bk111 gene, cloned from F1 progeny that showed sequence affiliation to the R26 gene from the resistant genotype, lost a 300-bp fragment during meiosis (Figure 5
DISCUSSION Previous studies of R genes or RGHs in model plants have accumulated knowledge on the generation of resistance specificities and the evolutionary dynamics of R genes (Bergelson et al. 2001; Bai et al. 2002; Richly et al. 2002; Caicedo and Schaal 2004; Kuang et al. 2004; Xiao et al. 2004; Mondragon-Palomino and Gaut 2005; Bakker et al. 2006; Friedman and Baker 2007). This study, however, focused on a fruit crop, the chestnut rose. Two cloning methods were used: the first, direct PCR amplification with degenerate primers, was believed to have a risk of biased sampling due to preferential amplification. To broaden the sequences, a second method, the overlapping extension approach, was used to capture as many NBS genes from the genome as possible (Xu et al. 2005). Under this strategy, a total of 126 NBS-encoding genes were isolated, fewer than those reported in Arabidopsis and rice. One possible reason for the lower number of NBS genes could be the preferential amplification caused by degenerate primers, although we tried to avoid this as mentioned above. The second reason could be due to the scarce genome information for this fruit tree; no sequence information could be utilized from a public database. Another reason could be the slower diversification rate of NBS genes in wild chestnut rose than in domestic plants such as rice because of the selective pressure. However, on the basis of the 126 cloned genes, this study still provides some interesting knowledge of the characteristics of NBS-encoding genes in chestnut rose, such as genomic organization in a tandem cluster, the proximity to transposon elements, rapid evolution, meiotic instability, etc. Evolutionary complexities of NBS-encoding genes in chestnut rose: NBS-encoding genes in chestnut rose exhibited a high level of intraspecific polymorphisms. For example, for the R4 gene, 9.81% of nucleotides were polymorphic, of which 64% were nonconservative amino acid changes, suggesting that this gene is maintained for short time periods. What are the evolutionary forces shaping the polymorphisms in NBS-encoding genes in the chestnut rose genome? Intraspecific variations in NBS gene copy number and size were observed between resistant and susceptible genotypes (Figure 4 Evolutionary analysis and genetic mapping revealed the existence of a “tandem duplicated cluster,” where point mutations were observed among the tandem direct repeats. The accumulated mutations are another evolutionary way to increase the complexity of RGHs and an opportunity to produce a new homolog. Moreover, some RGHs share high homology with Pinus RGHs and produced uniform hybridization band among Rosaceae plants (Figure 4 Detecting adaptive evolution by comparing amino acid substitution rates (dN) to synonymous substitution rates (dS) has indicated that positive selection has contributed to the evolution of NBS genes in chestnut rose. For many reported R genes, positive selection has been detected primarily in LRR regions. However, positively selected sites were also detected in the NBS-encoding region; e.g., Mondragon-Palomino et al. (2002) found that in Arabidopsis five positive selected sites were positioned in the NBS region, implying that the NBS domain may function in determining resistance specificity. This could be determined from domain-swapping experiments by replacing the NBS-encoding region of the L10 gene with the equivalent region of L2- or L9-generated new recombinant alleles with novel specificity (Luck et al. 2000). In chestnut rose, the NBS domain may also function in determining the resistance specificity. Further research is required to investigate this hypothesis. Transposable-like elements appear to have been involved in the evolutionary dynamics of NBS-encoding genes in chestnut rose. A transposable element was isolated proximal to the NBS gene. For most Rosaceae genomes, a large number of gene copies were detected by RFLP analysis. However, on cultivar Guinong no. 1 (intraspecific genotype), peach, and pear, one to three copies were detected. The marked difference in copy number implied that transposable elements could play active roles in the evolutionary history of resistance genes in chestnut rose. In rice, 11 different families of transposable elements were identified at the Xa21 cluster, and the elements appeared to be a major source of variation in this cluster (Song et al. 1998). In addition, in plants, transposable elements are commonly activated by environmental stresses such as pathogen infection (Grandbastien 1998), and it is believed that such activation can increase genomic flexibility with a possible selective advantage. Together, positive selection, balancing selection, recombination, point mutation, and even transposable elements may constitute the driving forces that shape the complexity, rapid evolution, and even the generation of new resistance specificity of R-gene sequences in chestnut rose. Meiotic instability of RGH genes: Sequence pairwise comparison revealed that nucleotide identity averaged 52% within resistant parents, 57% within susceptible parents, and 45% within the F1 generation. Statistical analysis showed that the latter was significantly lower than the former two at the 0.05 level, indicating a higher sequence variation in F1 progeny than in parents. Moreover, some sequences from F1 progeny carried repetitive elements. Evidence from RFLP markers demonstrated that RGH genes are meiotically unstable. New alleles were observed in F1 plants. To confirm this, we used the RGH sequences from F1 plants to design specific PCR primers and to determine the gene status in two parents. Three types were detected; what merits attention is type III where the RGH gene was detected only in some F1 plants but not in either parent (supplemental Figure 4), suggesting that this allele was newly produced during meiosis. However, these are preliminary data for the estimation of meiotic instability. One classical example was Rp1 complex loci in maize, where the homozygous line for the Rp1 locus was used to generate a large number of testcross progeny. Surprisingly, a high frequency of susceptibles was found in the progeny, indicating the occurrence of meiotically unstable genes (Sudupak et al. 1993). Further research on the Rp1 locus demonstrated that recombination is the primary mechanism of meiotic instability and that such recombination can result in new race specificity (Smith and Hulbert 2005). But for this study, the chestnut rose fruit tree is believed to be highly heterozygous for most gene loci; it is difficult to create a homozygous line to obtain deep insight into the mechanism for meiotic instability. However, further research on sequencing the flanked region around the NBS domain may help us understand the types of recombination and the genetic mechanism for meiotic instability. Acknowledgments The authors are grateful to S. Xiao from Center for Biosystems Research of the University of Maryland Biotechnology Institute for his valuable comments. Thanks also go to the anonymous reviewer for critical reviews. This project was supported by the Ministry of Education of China (no. IRT0548), 973 project (2006CB708202), and the National Natural Science Foundation of China (30660115). References
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