Classical genetic and molecular data show that genes determining disease resistance in plants are frequently clustered in the genome. Genes for resistance (R genes) to diverse pathogens cloned from several species encode proteins that have motifs in common. These motifs indicate that R genes are part of signal-transduction systems. Most of these R genes encode a leucine-rich repeat (LRR) region. Sequences encoding putative solvent-exposed residues in this region are hypervariable and have elevated ratios of nonsynonymous to synonymous substitutions; this suggests that they have evolved to detect variation in pathogen-derived ligands. Generation of new resistance specificities previously had been thought to involve frequent unequal crossing-over and gene conversions. However, comparisons between resistance haplotypes reveal that orthologs are more similar than paralogs implying a low rate of sequence homogenization from unequal crossing-over and gene conversion. We propose a new model adapted and expanded from one proposed for the evolution of vertebrate major histocompatibility complex and immunoglobulin gene families. Our model emphasizes divergent selection acting on arrays of solvent-exposed residues in the LRR resulting in evolution of individual R genes within a haplotype. Intergenic unequal crossing-over and gene conversions are important but are not the primary mechanisms generating variation.

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Clusters of resistance genes in plants evolve by divergent selection and a birth-and-death process.

Wheat microsatellites (WMS) were used to estimate the extent of genetic diversity among 40 wheat cultivars and lines, including mainly European elite material. The 23 WMS used were located on 15 different chromosomes, and revealed a total of 142 alleles. The number of alleles ranged from 3 to 16, with an average of 6.2 alleles per WMS. The average dinucleotide repeat number ranged from 13 to 41. The correlation coefficient between the number of alleles and the average number of repeats was only slight (r
s = 0.55). Based on percentage difference a dendrogram is presented, calculated by the WMS-derived data. All but two of the wheat cultivars and lines could be distinguished. Some of the resulting groups are strongly related to the pedigrees of the appropriate cultivars. Values for co-ancestry (f) of 179 pairs of cultivars related by their pedigrees (f⩾0.1) averaged 0.29. Genetic similarity (GS) based on WMS of the same pairs averaged 0.44. The rank correlation for these pairs was slight, with r
s = 0.55, but highly significant (P<0.001). The results suggest that a relatively small number of microsatellites can be used for the estimation of genetic diversity and cultivar identification in elite material of hexaploid bread wheat.

Detection of genetic diversity in closely related bread wheat using microsatellite markers.

RFLPs, AFLPs, RAPDs and SSRs were used to determine the genetic relationships among 18 cultivated barley accessions and the results compared to pedigree relationships where these were available. All of the approaches were able to uniquely fingerprint each of the accessions. The four assays differed in the amount of polymorphism detected. For example, all 13 SSR primers were polymorphic, with an average of 5.7 alleles per primer set, while nearly 54% of the fragments generated using AFLPs were monomorphic. The highest diversity index was observed for AFLPs (0.937) and the lowest for RFLP (0.322). Principal co-ordinate analysis (PCoA) clearly separated the spring types from the winter types using RFLP and AFLP data with the two-row winter types forming an intermediate group. Only a small group of spring types clustered together using SSR data with the two-row and six-row winter varieties more widely dispersed. Direct comparisons between genetic similarity (GS) estimates revealed by each of the assays were measured by a number of approaches. Spearman rank correlation ranked over 70% of the pairwise comparisons between AFLPs and RFLPs in the same order. SSRs had the lowest values when compared to the other three assays. These results are discussed in terms of the choice of appropriate technology for different aspects of germplasm evaluation.

Direct comparison of levels of genetic variation among barley accessions detected by RFLPs, AFLPs, SSRs and RAPDs

In many interactions between plants and their pathogens, resistance to infection is specified by plant resistance (R) genes and corresponding pathogen avirulence (Avr) genes. In tomato, the Cf-4 and Cf-9 resistance genes map to the same location but confer resistance to Cladosporium fulvum through recognition of different avirulence determinants (AVR4 and AVR9) by a molecular mechanism that has yet to be determined. Here, we describe the cloning and characterization of Cf-4, which also encodes a membrane-anchored extracellular glycoprotein. Cf-4 contains 25 leucine-rich repeats, which is two fewer than Cf-9. The proteins have > 91% identical amino acids. DNA sequence comparison suggests that Cf-4 and Cf-9 are derived from a common progenitor sequence. Amino acid differences distinguishing Cf-4 and Cf-9 are confined to their N termini, delimiting a region that determines the recognitional specificity of ligand binding. The majority of these differences are in residues interstitial to those of the leucine-rich repeat consensus motif. Many of these residues are predicted to form a solvent-exposed surface that can interact with the cognate ligand. Both Cf-4 and Cf-9 are located within a 36-kb region comprising five tandemly duplicated homologous genes. These results provide further insight into the molecular basis of pathogen perception by plants and the organization of complex R gene loci.

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Characterization of the tomato Cf-4 gene for resistance to Cladosporium fulvum identifies sequences that determine recognitional specificity in Cf-4 and Cf-9.

In many interactions between plants and their pathogens, resistance to infection is specified by plant resistance (R) genes and corresponding pathogen avirulence (Avr) genes. In tomato, the Cf-4 and Cf-9 resistance genes map to the same location but confer resistance to Cladosporium fulvum through recognition of different avirulence determinants (AVR4 and AVR9) by a molecular mechanism that has yet to be determined. Here, we describe the cloning and charac? terization of Cf-4, which also encodes a membrane-anchored extracellular glycoprotein. Cf-4 contains 25 leucine-rich repeats, which is two fewer than Cf-9. The proteins have 91 % identical amino acids. DNA sequence comparison sug? gests that Cf-4 and Cf-9 are derived from a common progenitor sequence. Amino acid differences distinguishing Cf-4 and Cf-9 are confined to their N termini, delimiting a region that determines the recognitional specificity of ligand bind? ing. The majority of these differences are in residues interstitial to those of the leucine-rich repeat consensus motif. Many of these residues are predicted to form a solvent-exposed surface that can interact with the cognate ligand. Both Cf-4 and Cf-9 are located within a 36-kb region comprising five tandemly duplicated homologous genes. These results provide further insight into the molecular basis of pathogen perception by plants and the organization of complex R gene loci.

Cladosporium fulvum Identifies Sequences That Determine Recognitional Specificity in Cf-4 and Cf-9

We investigated random amplified polymorphic DNA (RAPD) in 27 inbred barley lines with varying amounts of common ancestry and in 20 doubled-haploid (DH) lines from a biparental cross. Of 33 arbitrary 10 base primers that were tested, 19 distinguished a total of 31 polymorphisms. All polymorphisms were scored as dominant genetic markers except for 1, where Southern analysis indicated the presence of two codominant amplification products. The inheritance of 19 RAPD polymorphisms and one morphological trait was studied in the DH lines. There was no evidence for segregation distortion, but a group of four tightly linked loci was detected. The frequencies of RAPD polymorphism in pairs of inbred lines were used to compute values of genetic distance (d), which were compared to kinship coefficients (r) between the same pairs of lines. A linear relationship between r and d was evident, but low values of r gave poor predictions of d. Cluster analysis showed that groups of inbred lines based on r were similar to those based on d with some notable exceptions. RAPD markers can be used to gain information about genetic similarities or differences that are not evident from pedigree information.

Random amplified polymorphic DNA and pedigree relationships in spring barley.

The second largest cluster of resistance genes in lettuce contains at least two downy mildew resistance specificities, Dm5/8 and Dm10, as well as Tu, providing resistance against turnip mosaic virus, and plr, a recessive gene conferring resistance against Plasmopara lactucae-radicis, a root infecting downy mildew. In the present paper four additional genetic markers have been added to this cluster, three RAPD markers and one RFLP marker, CL1795. CL1795 is a member of a multigene family related to triose phosphate isomerase; other members of this family map to the other two major clusters of resistance genes in lettuce. Seven RAPD markers in the region were converted into sequence characterized amplified regions (SCARs) and used in the further analysis of the region and the mapping of Dm10. Three different segregating populations were used to map the four resistance genes relative to molecular markers. There were no significant differences in gene order or rate of recombination between the three crosses. This cluster of resistance genes spans 6.4 cM, with Dm10 1.2 cM from Dm8. Marker analysis of 20 cultivars confirmed multiple origins for Dm5/8 specificity. Two different Lactuca serriola origins for the Du5/8 specificity had previously been described and originally designated as either Dm5 or Dm8. Some ancient cultivars also had the same specificity. Previously, due to lack of recombination in genetic analyses and the same resistance specificities, it was assumed that Dm5 and Dm8 were determined by the same gene. However, molecular marker analysis clearly identified genotypes characteristic of each source. Therefore, Dm5/8 specificity is either ancient and widespread in L. serriola and some L. sativa, or else has arisen on multiple occasions as alleles at the same locus or at linked loci.

Sources and genetic structure of a cluster of genes for resistance to three pathogens in lettuce.

Presence of the dominant Tu gene in Lactuca sativa is sufficient to confer resistance to infection by turnip mosaic virus (TuMV). In order to obtain an immunological assay for the presence of TuMV in inoculated plants, the TuMV coat protein (CP) gene was cloned by amplification of a cDNA corresponding to the viral genome using degenerate primers designed from conserved potyvirus CP sequences. The TuMV CP was overexpressed in Escherichia coli, and polyclonal antibodies were produced. To locate Tu on the L. sativa genetic map, F3 families from a cross between cvs “Cobbham Green” (resistant to TuMV) and “Calmar” (susceptible) were genotyped for Tu. Families known to be recombinant in the region containing Tu were infected with TuMV and tested by the indirect enzyme-linked immunosorbent assay (ELISA) using the anti-CP serum. This assay placed Tu between two random amplified polymorphic DNA (RAPD) markers and 3.2 cM from Dm5/8 (which confers resistance to Bremia lactucae). Also, bulked segregant analysis was used to screen for additional RAPD markers tightly linked to the Tu locus. Five new markers linked to Tu were identified in this region, and their location on the genetic map was determined using informative recombinants in the region. Six markers were identified as being linked within 2.5 cM of Tu.

Genetic mapping of turnip mosaic virus resistance in Lactuca sativa.

In the development of barley (Hordeum vulgare L.) cultivars for malting purposes, it is usually not possible to select for malt quality characteristics in early generations because of the high cost associated with micromalting large numbers of grain samples and assessing quality traits on the resulting malt samples and because of the sensitivity of quantitative malt quality traits to environmental variation. Thus, barley malting quality may be a good candidate for marker-assisted selection. Here, the objective was to use marker-based selection to manipulate a malt quality characteristic, α-amylase activity, in a barley breeding population. Marker-based selection was applied among F 2:3 lines from the cross 'Morex'/'Labelle', targeting Morex alleles in a region of chromosome 7(5H) that had previously been found to affect α-amylase activity in the cross 'Steptoe'/Morex. The target region was represented by two polymerase chain reaction (PCR) markers. Selected lines were grown in field plots in two years. Agronomic and grain quality data were measured. Grain samples were micromalted and assessed for malt quality traits. Selection for the Morex allele at two PCR markers on chromosome 7(5H) was effective in increasing α-amylase activity. It was concluded that marker-based selection for a quantitative trait locus could be effective even when applied in a population other than the mapping population.

Marker-based selection in barley for a QTL region affecting α-amylase activity of malt

Molecular markers linked to loci of interest can be used for fine mapping a particular area of a genome or for marker-assisted selection. We present an approach for screening individual plants with polymorphic markers that facilitates phenotyping in large populations. Polymorphic DNA fragments, amplified by PCR, are labelled with digoxigenin and used as probes on slot blots of amplified DNA from the individual plants to be tested. DNA is obtained by a simple two-tube purification method. The colorimetric detection of alleles on the blots is more reliable, and more amenable to automation, than conventional staining of electrophoresis gels.Key words: molecular markers, RAPD, genetic mapping, breeding.

M. G. Fortin

Papers

Random amplified polymorphic DNA and pedigree relationships in spring barley.

Sources and genetic structure of a cluster of genes for resistance to three pathogens in lettuce.

Genetic mapping of turnip mosaic virus resistance in Lactuca sativa.

Marker-based selection in barley for a QTL region affecting α-amylase activity of malt

A method for detecting DNA polymorphism in large populations.