An integrated high-density RFLP-AFLP map of tomato based on two Lycopersicon esculentum×L. pennellii F2 populations

 Two independent F₂ populations of Lycopersicon esculentum×L. pennellii which have previously been investigated in RFLP mapping studies were used for construction of a highly saturated integrated AFLP map. This map spanned 1482 cM and contained 67 RFLP markers, 1078 AFLP markers obtained with 22 EcoRI+MseI primer combinations and 97 AFLP markers obtained with five PstI+MseI primer combinations, 231 AFLP markers being common to both populations. The EcoRI+MseI AFLP markers were not evenly distributed over the chromosomes. Around the centromeric region, 848 EcoRI+ MseI AFLP markers were clustered and covered a genetic distance of 199 cM, corresponding to one EcoRI+ MseI AFLP marker per 0.23 cM; on the distal parts 1283 cM were covered by 230 EcoRI+MseI AFLP markers, corresponding to one marker per 5.6 cM. The PstI/MseI AFLP markers showed a more even distribution with 16 PstI/MseI AFLP markers covering a genetic distance of 199 cM around the centromeric regions and 81 PstI/MseI AFLP markers covering a genetic distance of 1283 cM on the more distal parts, corresponding to one marker per 12 and 16 cM respectively. In both populations a large number of loci showed a significant skewed segregation, but only chromosome 10 loci showed skewness that was similar for both populations. This ultra-dense molecular-marker map provides good perspectives for genetic and breeding purposes and map-based cloning. Received: 3 September 1998 / Accepted: 27 October 1998     

DNA methylation and AFLP marker distribution in the soybean genome

Amplified fragment length polymorphisms (AFLPs) have become important markers for genetic mapping because of their ability to reliably detect variation at a large number of loci. We report here the dissimilar distribution of two types of AFLP markers generated using restriction enzymes with varying sensitivities to cytosine methylation in the soybean genome. Initially, AFLP markers were placed on a scaffold map of 165 RFLP markers mapped in 42 recombinant inbred (F_6:7) lines. These markers were selected from a map of over 500 RFLPs analyzed in 300 recombinant inbred (F_6:7) lines generated by crossing BSR101×PI437.654. The randomness of AFLP marker map position was tested using a Poisson-model distribution. We found that AFLP markers generated using EcoRI/MseI deviated significantly from a random distribution, with 34% of the markers displaying dense clustering. In contrast to the EcoRI/MseI AFLP markers, PstI/MseI-generated AFLP markers did not cluster and were under represented in the EcoRI/MseI marker clusters. The restriction enzyme PstI is notably sensitive to cytosine methylation, and these results suggest that this sensitivity affected the distribution of the AFLP markers generated using this enzyme in the soybean genome. The common presence of one EcoRI/MseI AFLP cluster per linkage group and the infrequent presence of markers sensitive to methylation in these clusters are consistent with the low recombination frequency and the high level of cytosine methylation observed in the heterochromatic regions surrounding centromeres. Thus, the dense EcoRI/MseI AFLP marker clusters may be revealing structural features of the soybean genome, including the genetic locations of centromeres. Received: 5 November 1998 / Accepted: 20 February 1999     

Further characterization of AFLP® data as a tool in genetic diversity assessments among maize (Zea mays L.) inbred lines

AFLP® markers generated by CNG methylation sensitive (PstI/MseI) and CNG methylation insensitive (EcoRI/MseI) enzyme combinations and AFLP markers collected from hypomethylated (PstI/MseI) and hypermethylated (^m PstI/MseI) regions were compared for their polymorphism information content, sampling variance and patterns of genetic diversity in a representative sample of 33 inbred lines of maize (Zea mays L.). We demonstrate that the mean polymorphism information content generated by sets of PstI/MseI and ^m PstI/MseI markers (0.38) is significantly higher than by sets ofEcoRI/MseI markers (0.33). Also the sampling variance highlighted the distinctive nature of the ^(m) PstI/MseI markers: to achieve a mean standard deviation of 5% in the estimation of genetic distance among the 33 inbreds, the PstI/MseI and ^m PstI/MseI marker sets (135 and 129 markers, respectively) are clearly smaller than the EcoRI/MseI marker set (173 markers). A further minimizing of the sampling variance of AFLP data in the estimation of genetic similarities was obtained by reducing marker information redundancy by selecting markers evenly distributed over each chromosome: a set of only 106 AFLP markers, sampled conditionally on their genetic map position, was required for a mean standard deviation of 5% in the estimation of genetic distance among the 33 inbreds.     

Development and utility of cleaved amplified polymorphic sequences (CAPS) and restriction fragment length polymorphisms (RFLPs) linked to the Fom-2 fusarium wilt resistance gene in melon (Cucumis melo L.)

Fusarium wilt, caused by Fusarium oxysporum Schlecht f. sp. melonis Snyder & Hans, is a worldwide soil-borne disease of melon (Cucumis melo L.). Resistance to races 0 and 1 of Fusarium wilt is conditioned by the dominant gene Fom-2. To facilitate marker-assisted backcrossing with selection for Fusarium wilt resistance, we developed cleaved amplified polymorphic sequences (CAPS) and restriction fragment length polymorphisms (RFLP) markers by converting RAPD markers E07 (a 1.25-kb band) and G17 (a 1.05-kb band), respectively. The RAPD-PCR polymorphic fragments from the susceptible line ’Vedrantais’ were cloned and sequenced in order to construct primers that would amplify only the target fragment. The derived primers, E07SCAR-1/E07SCAR-2 from E07 and G17SCAR-1/G17SCAR-2 from G17, yielded a single 1.25-kb fragment (designated SCE07) and a 1.05-kb fragment (designated SCG17) (the same as RAPD markers E07 and G17), respectively, from both resistant and susceptible melon lines, thus demonstrating locus-specific associated primers. Potential CAPS markers were first revealed by comparing sequence data between fragments amplified from resistant (PI 161375) and susceptible (’Vedrantais’) lines and were then confirmed by electrophoresis of restriction endonuclease digestion products. Twelve restriction endonucleases were evaluated for their potential use as CAPS markers within the SCE07 fragment. Three (BclI, MspI, and BssSI) yielded ideal CAPS markers and were subsequently subjected to extensive testing using an additional 88 diverse melon cultigens, 93 and 119 F₂ individuals from crosses of ’Vedrantais’ x PI 161375 and ’Ananas Yokneam’×MR-1 respectively, and 17 families from a backcross BC₁S₁ population derived from the breeding line ’MD8654’ as a resistance source. BclI- and MspI-CAPS are susceptible-linked markers, whereas the BssSI-CAPS is a resistant-linked marker. The CAPS markers that resulted from double digestion by BclI and BssSI are co-dominant. Results from BclI- and MspI-CAPS showed over 90% accuracy in the melon cultigens, and nearly 100% accuracy in the F₂ individuals and BC₁S₁ families tested. This is the first report of PCR-based CAPS markers linked to resistance/susceptibility for Fusarium wilt in melon. The RFLP markers resulting from probing with a clone-derived 1.05-kb SCG17 PCR fragment showed 85% correct matches to the disease phenotype. Both the CAPS and RFLP markers were co-dominant, easier to score, and more accurate and consistent in predicting the melon phenotype than the RAPD markers from which they were derived. Received: 28 July 1998 / Accepted: 7 December 1998     

Studies on genetic changes in rye samples (Secale cereale L.) maintained in a seed bank

The aim of this study was to identify genetic changes in rye seeds induced by natural ageing during long-term storage and consecutive regeneration cycles under gene bank conditions. Genomic DNA from four rye samples varying in their initial viability after one and three cycles of reproduction was analyzed by AFLP (amplified fragment length polymorphism) fingerprinting. Seven EcoRI/MseI primer combinations defined 663 fragments, and seven PstI/MseI primer combinations defined 551 fragments. The variation in the frequency of the seventy-four EcoRI/MseI bands was statistically significant between samples. These changes could be attributed to genetic changes occurring during storage and regeneration. However, the PstI/MseI fragments appeared to be uninfluenced by seed ageing, regeneration and propagation. A combined Principle Coordinate Analysis revealed differences between samples with different initial viability. We showed that materials with low initial viability differ in their response from highly viable ones, and that the changes exhibited in the former case are preserved through regeneration cycles.     

Two high-density AFLP® linkage maps of Zea mays L.: analysis of distribution of AFLP markers

This study demonstrates the relative ease of generating high-density linkage maps using the AFLP® technology. Two high-density AFLP linkage maps of Zea mays L. were generated based on: (1) a B73 × Mo17 recombinant inbred population and (2) a D32 × D145 immortalized F₂ population. Although AFLP technology is in essence a mono-allelic marker system, markers can be scored quantitatively and used to deduce zygosity. AFLP markers were generated using the enzyme combinations EcoRI/MseI and PstI/MseI. A total of 1539 and 1355 AFLP markers have been mapped in the two populations, respectively. Among the mapped PstI/MseIAFLP markers we have included fragments bounded by a methylated PstI site (^mAFLP markers). Mapping these ^mAFLP markers shows that the presence of C-methylation segregates in perfect accordance with the primary target sequence, leading to Mendelian inheritance. Simultaneous mapping of PstI/MseIAFLP and PstI/MseI ^mAFLP markers allowed us to identify a number of epi-alleles, showing allelic variation in the CpNpG methylation only. However, their frequency in maize is low. Map comparison shows that, despite some rearrangements, most of the AFLP markers that are common in both populations, map at similar positions. This would indicate that AFLP markers are predominantly single-locus markers. Changes in map order occur mainly in marker-dense regions. These marker-dense regions, representing clusters of mainly EcoRI/MseI AFLP and PstI/MseI ^mAFLP markers, co- localize well with the putative centromeric regions of the maize chromosomes. In contrast, PstI/MseImarkers are more uniformly distributed over the genome.     

AFLP markers in a molecular linkage map of maize: codominant scoring and linkage group ditsribution

We exploited the AFLP technique to saturate a RFLP linkage map derived from a maize mapping population. By using two restriction enzyme, EcoRI and PstI, differing in methylation sensitivity, both in combination with MseI, we detected 1568 bands of which 340 where polymorphic. These were added to the exitsing RFLP marker data to study the effects of incorporation of AFLPs produced by different restriction-enzyme combinations upon genetic maps. Addition of the AFLP data resulted in greater genome coverage, both through linking previously separate groups and the extension of other groups. The increase of the total map length was mainly caused by the addition of markers to telomeric regions, where RFLP markers were poorly represented. The percentage of informative loci was significantly different between the EcoRI and PstI assays. There was also evidence that PstI AFLP markers were more randomly distributed across chromosomes and chromosome regions, while EcoRI AFLP markers clustered mainly at centomeric regions. The more-random ditsribution of PstI AFLP markers on the genetic map reported here may reflect a preferential localisation of the markers in the hypomethylated telomeric regions of the chromosomes. Received: 22 December 1998 / Accepted: 25 March 1999     

A genetic map of melon (Cucumis melo L.) based on amplified fragment length polymorphism (AFLP) markers

 Genetic maps facilitate the study of genome structure and evolution, and the identification of monogenic traits or Mendelian components of quantitative traits. We evaluated 228 RAPD, microsatellite and AFLP markers for linkage analysis in melon (Cucumis melo L.) varieties MR-1 (resistant to Fusarium wilt, powdery and downy mildews) and Ananas Yokneum (AY; susceptible to these diseases) and constructed a detailed genetic map. The mapping population consisted of 66 backcross progenies derived from AY×(MR-1×AY). Despite a relatively low level of polymorphism in the species, AFLP markers were found to be more efficient in mapping the melon genome than RAPD or microsatellite markers. The map contains 197 AFLPs, six RAPDs and one microsatellite marker assigned to 14 major and six minor linkage groups, and covers 1942 cM with the average distance between adjacent markers of approximately 10 cM. The maximum distance allowed between markers is 27.5 cM. About 11% of the intervals (20 out of 173) are over 20 cM (but less than 27.5 cM). The map has immediate utility for identifying markers linked to disease resistance genes that are suitable for marker-assisted breeding. The use of microsatellite markers for integration with other maps is also discussed. Received: 12 March 1997 / Accepted: 20 May 1997     

Two genetic linkage maps of tetraploid roses

A tetraploid F₂ progeny segregating for resistance to black spot, growth habit, and absence of prickles on the stem and petioles was used to construct genetic linkage maps of rose. The F₁ of the progeny, 90–69, was created by crossing a black spot-resistant amphidiploid, 86–7, with a susceptible tetraploid, 82–1134. The F₁ was open-pollinated to obtain 115 seedlings. AFLP and SSR markers were used to eliminate seedlings produced through cross-fertilization. The remaining progeny set of 52 F₂ plants was used to study the inheritance of 675 AFLPs, one isozyme, three morphological and six SSR markers. AFLP markers were developed with three combinations of restriction enzymes, EcoRI/MseI, KpnI/MseI and PstI/MseI. Most of the markers appear to be in simplex or single-dose and segregated 3:1 in the progeny. One linkage map was constructed for each parent using only the single-dose markers. The map of 86–7 consists of 171 markers assigned to 15 linkage groups and covering more than 902 cM of the genome. The map of 82–1134 consists of 167 markers assigned to 14 linkage groups and covering more than 682 cM of the genome. In the AFLP analysis, EcoRI/MseI generated nearly twice as many markers per run than PstI/MseI. Markers developed with three restriction enzyme combinations showed a mixed distribution throughout the maps. A gene controlling the prickles on the petiole was located at the end of linkage group 7 on the map of 86–7. A gene for malate dehydrogenase locus 2 was located in the middle of linkage group 4 on the map of 86–7. These first-generation maps provide initial tools for marker- assisted selection and gene introgression for the improvement of modern tetraploid roses. Received: 20 June 2000 / Accepted: 13 January 2001     

A high-density genetic map of Sorghum bicolor (L.) Moench based on 2926 AFLP®, RFLP and SSR markers

Using AFLP technology and a recombinant inbred line population derived from the sorghum cross of BTx623 × IS3620C, a high-density genetic map of the sorghum genome was constructed. The 1713 cM map encompassed 2926 loci distributed on ten linkage groups; 2454 of those loci are AFLP products generated from either the EcoRI/MseI or PstI/MseI enzyme combinations. Among the non-AFLP markers, 136 are SSRs previously mapped in sorghum, and 203 are cDNA and genomic clones from rice, barley, oat, and maize. This latter group of markers has been mapped in various grass species and, as such, can serve as reference markers in comparative mapping. Of the nearly 3000 markers mapped, 692 comprised a LOD 3.0 framework map on which the remaining markers were placed with lower resolution (LOD <3.0). By comparing the map positions of the common grass markers in all sorghum maps reported to date, it was determined that these reference markers were essentially collinear in all published maps. Some clustering of the EcoRI/MseI AFLP markers was observed, possibly in centromeric regions. In general, however, the AFLP markers filled most of the gaps left by the RFLP/SSR markers demonstrating that AFLP technology is effective in providing excellent genome coverage. A web site, http://SorghumGenome.tamu.edu, has been created to provide all the necessary information to facilitate the use of this map and the 2590 PCR-based markers. Finally, we discuss how the information contained in this map is being integrated into a sorghum physical map for map-based gene isolation, comparative genome analysis, and as a source of sequence-ready clones for genome sequencing projects.     

A genetic map of an interspecific cross in Allium based on amplified fragment length polymorphism (AFLPTM) markers

Segregation of 692 polymorphic AFLP^TM (amplified fragment length polymorphism) fragments was determined in an F₂ of the interspecific cross A. roylei x A. cepa. Two different enzyme combinations were used, PstI/MseIand EcoRI/MseI; in the latter one extra selective nucleotide was added to the MseI primer. The map based on A. cepa markers consisted of eight linkage groups with 262 markers covering 694 cM of the expected 800 cM. The map based on A. roylei markers comprised 15 linkage groups with 243 markers and had a length of 626 cM. The two maps were not integrated, and 25% of the markers remained unlinked. One of the alliinase genes and a SCAR marker linked to the disease resistance gene to downy mildew are present on this map. Of the AFLP markers, 50—80% were polymorphic between A. cepa and A. roylei; the level of polymorphic markers between different A. cepa accessions was4-8%. Received: 28 August 1998 / Accepted: 31 March 1999     

Identification of SCAR markers linked to Rca2 anthracnose resistance gene and their assessment in strawberry germplasm

Bulked segregant analysis combined with AFLPs was used to identify molecular markers linked to the Rca2 gene conferring resistance to Colletotrichum acutatum pathogenicity group 2 which causes anthracnose in the octoploid strawberry Fragaria × ananassa. DNA bulks originating from a cross between the resistant cultivar ‘Capitola’ and the susceptible cultivar ‘Pajaro’ were screened with 110 EcoRI/MseI AFLP combinations. Four AFLP markers were found linked in coupling phase to Rca2 with recombination percentages between 0% and 17.7%. Among the four markers linked to the resistance gene, two were converted into SCAR markers (STS-Rca2_417 and STS-Rca2_240) and screened in a large segregating population including 179 genotypes. The Rca2 resistance gene was estimated to be 0.6 cM from STS-Rca2_417 and 2.8 cM from STS-Rca2_240. The presence/absence of the two SCAR markers was further studied in 43 cultivars of F. × ananassa, including 14 susceptible, 28 resistant, and one intermediate genotype. Results showed that 81.4% and 62.8% of the resistant/susceptible genotypes were correctly predicted by using STS-Rca2_417 and STS-Rca2_240, respectively. The 14 susceptible genotypes showed no amplification for either SCARs. These developed SCARs constitute new tools for indirect selection criteria of anthracnose resistance genotypes in strawberry breeding programs.     

Identification and mapping of AFLP markers linked to peanut (<Emphasis Type="Italic">Arachis hypogaea</Emphasis> L.) resistance to the aphid vector of groundnut rosette disease

Groundnut rosette disease is the most destructive viral disease of peanut in Africa and can cause serious yield losses under favourable conditions. The development of disease-resistant cultivars is the most effective control strategy. Resistance to the aphid vector, Aphis craccivora, was identified in the breeding line ICG 12991 and is controlled by a single recessive gene. Bulked segregant analysis (BSA) and amplified fragment length polymorphism (AFLP) analysis were employed to identify DNA markers linked to aphid resistance and for the development of a partial genetic linkage map. A F_2:3 population was developed from a cross using the aphid-resistant parent ICG 12991. Genotyping was carried out in the F₂ generation and phenotyping in the F₃ generation. Results were used to assign individual F₂ lines as homozygous-resistant, homozygous-susceptible or segregating. A total of 308 AFLP (20 EcoRI+3/MseI+3, 144 MluI+3/MseI+3 and 144 PstI+3/MseI+3) primer combinations were used to identify markers associated with aphid resistance in the F_2:3 population. Twenty putative markers were identified, of which 12 mapped to five linkage groups covering a map distance of 139.4 cM. A single recessive gene was mapped on linkage group 1, 3.9 cM from a marker originating from the susceptible parent, that explained 76.1% of the phenotypic variation for aphid resistance. This study represents the first report on the identification of molecular markers closely linked to aphid resistance to groundnut rosette disease and the construction of the first partial genetic linkage map for cultivated peanut.     

An interspecific (Capsicum annuum ×C. chinese) F2 linkage map in pepper using RFLP and AFLP markers

We have constructed a molecular linkage map of pepper (Capsicum spp.) in an interspecific F₂ population of 107 plants with 150 RFLP and 430 AFLP markers. The resulting linkage map consists of 11 large (206–60.3 cM) and 5 small (32.6–10.3 cM) linkage groups covering 1,320 cM with an average map distance between framework markers of 7.5 cM. Most (80%) of the RFLP markers were pepper-derived clones, and these markers were evenly distributed across the genome. By using 30 primer combinations, we were able to generate 444 AFLP markers in the F₂ population. The majority of the AFLP markers clustered in each linkage group, although PstI/MseI markers were more evenly distributed than EcoRI/MseI markers within the linkage groups. Genes for the biosynthesis of carotenoids and capsaicinoids were mapped on our linkage map. This map will provide the basis of studying secondary metabolites in pepper. Received: 20 October 1999 / Accepted: 3 July 2000     

High-resolution mapping of the Rym4/Rym5 locus conferring resistance to the barley yellow mosaic virus complex (BaMMV, BaYMV, BaYMV-2) in barley (Hordeum vulgare ssp. vulgare L.)

Soil-borne barley yellow mosaic virus disease – caused by a complex of at least three viruses, i.e. Barley mild mosaic virus (BaMMV), Barley yellow mosaic virus (BaYMV) and BaYMV-2 – is one of the most important diseases of winter barley in Europe. The two genes rym4, effective against BaMMV and BaYMV, and rym5, additionally effective against BaYMV-2, comprise a complex locus on chromosome 3HL, which is of special importance to European barley breeding. To provide the genetic basis for positional cloning of the Rym4/Rym5 locus, two high-resolution maps were constructed based on co-dominant flanking markers (MWG838/Y57c10 - MWG010/Bmac29). Mapping at a resolution of about 0.05% rec., rym4 has been located 1.07% recombination distal of marker MWG838 and 1.21% recombination proximal to marker MWG010. Based on a population size of 3,884 F₂ plants (0.013% recombination) the interval harbouring rym5 was delimited to 1.49±0.14% recombination. By testing segmental recombinant inbred lines (RILs) for reaction to the different viruses at a resolution of 0.05% rec. (rym4) and 0.019% rec. (rym5), no segregation concerning the reaction to the different viruses could be observed. AFLP-based marker saturation for rym4, using 932 PstI+2/MseI+3 primer combinations only resulted in three markers with the closest one linked at 0.9% recombination to the gene. Two of these markers detected epialleles arising from the differential cytosine methylation of PstI sites. Regarding rym5, profiling of 1,200 RAPD primers (about 18,000 loci) and 2,048 EcoRI+3/MseI+3 AFLP primer combinations (about 205,000 loci) resulted in one RAPD marker and seven AFLP markers tightly linked to the resistance gene. Flanking markers with the closest linkage to rym5 (0.05% and 0.88% recombination) were converted into STS markers. These markers provide a starting point for chromosomal walking and may be exploited in marker-assisted selection for virus resistance based on rym5.     

Characterization and genetic distance analysis of isolates of Peronosclerospora sorghi using AFLP fingerprinting

Sorghum downy mildew, caused by the obligate oomycete Peronosclerospora sorghi, has been controlled through the use of resistant cultivars and seed treatment with metalaxyl. A recent outbreak in fields planted with treated seed revealed the presence of a metalaxyl-resistant variant. Here, PCR-based methods including amplification from RAPD primers and two systems of automated AFLP analysis have been used to detect DNA-level genetic variation among 14 isolates including metalaxyl-resistant and susceptible isolates, as well as representatives of common pathotypes 1 and 3 and a new pathotype. In total, 1708 bands were detected after amplification of EcoRI/MseI fragments with 16 primer combinations. Nearly as many amplified products were observed using eight primer pairs with three-base extensions (LI-COR) as with two-base extensions (ABI-Prism genetic capillary system). Approximately 25 % of the bands were polymorphic across the 14 isolates, with the majority of differences specific to the pathotype P1 isolate. The AFLP banding patterns are consistent with metalaxyl resistance and the new pathotype having evolved from pathotype 3.     

Extension and use of a physical map of the Thinopyrum-derived Lr19 translocation

Twenty-nine deletion mutant lines were used to extend a physical map of the Lr19 translocated chromosome segment. One hundred and forty-four Sse8387I/MseI and 32 EcoRI/MseI primer combinations were used to obtain 95 Thinopyrum-specific AFLP markers. The physical map confirmed that terminal deletions had mostly occurred, however, it appears that intercalary deletions and primer or restriction site mutations were also induced. The markers allowed for grouping of the deletion mutant lines into 19 clusters, with 7 AFLP markers mapping in the same marker bin as Lr19. Primary and secondary Lr19 allosyndetic recombinants were subsequently physically mapped employing AFLP, RFLP, SCAR and microsatellite markers and the data integrated with the deletion map. A further shortened, tertiary Lr19 recombinant was derived following homologous recombination between the proximally shortest secondary recombinant, Lr19-149-299, and distally shortest recombinant, Lr19-149-478. The tertiary recombinant could be confirmed employing the mapped markers and it was possible to identify new markers on this recombinant that can be used to reduce the translocation still further.     

Optimisation of DNA extraction for AFLP analysis of mycorrhizal fungi of terrestrial orchids caladeniinae and drakaeinae

Published DNA extraction methods present a number of problems when applied to mycorrhizal fungi of native Australian terrestrial orchids. Grinding with liquid nitrogen shears the DNA, and other pulverisation methods yield too little DNA. We found that freezing the fungal sample with liquid nitrogen, with no grinding, followed by the Qiagen DNeasy extraction procedure produced good yields of high-molecular-weight DNA. The DNA was then used for amplified fragment length polymorphism (AFLP) fingerprinting. Good fingerprints were produced by restriction withEcoRI/MseI enzymes, the use of preamplification primer mix II (for small genomes), and a 2-base extensionMseI primer (m-cc) with 3-base extensionEcoRI primers in the selective amplification. This protocol may be of general utility for other fungi with similarly fragile DNA.     

The Fusarium wilt resistance locus Fom-2 of melon contains a single resistance gene with complex features

The soil-borne fungus Fusarium oxysporum f.sp. melonis causes significant losses in the cultivated melon, a key member of the economically important family, the Cucurbitaceae. Here, we report the map-based cloning and characterization of the resistance gene Fom-2 that confers resistance to race 0 and 1 of this plant pathogen. Two recombination events, 75 kb apart, were found to bracket Fom-2 after screening approximately 1324 gametes with PCR-based markers. Sequence analysis of the Fom-2 interval revealed the presence of two candidate genes. One candidate gene showed significant similarity to previously characterized resistance genes. Sequence analysis of this gene revealed clear polymorphisms between resistant and susceptible materials and was therefore designated as Fom-2. Analysis of susceptible breeding lines (BL) presenting a haplotype very similar to the resistant cultivar MR-1 indicated that a gene conversion had occurred in Fom-2, resulting in a significant rearrangement of this gene. The second candidate gene which shared high similarity to an essential gene in Arabidopsis, presented an almost identical sequence in MR-1 and BL, further supporting Fom-2 identity. The gene conversion in Fom-2 produced a truncated R gene, revealing new insights into R gene evolution. Fom-2 was predicted to encode an NBS-LRR type R protein of the non-TIR subfamily. In contrast to most members of this class a coiled-coil structure was predicted within the LRR region rather than in the N-terminal. The Fom-2 physical region contained retroelement-like sequences and truncated genes, suggesting that this locus is complex.     

AFLP analysis of genetic diversity within and between Arabidopsis thaliana ecotypes.

The degree of genetic diversity within and between 21 Arabidopsis thaliana (L.) Heynh ecotypes was estimated by AFLP analysis. Within seven of the 21 ecotypes, a low but significant level of polymorphism was detected, and for five of these ecotypes two or three distinct subgroups could be distinguished. As these ecotypes represent natural populations, this intra-ecotypic diversity reflects natural genetic variation and diversification within the ecotypes. The source of this diversity remains unclear but is intriguing in view of the predominantly self-fertilizing nature of Arabidopsis. Interrelationships between the different ecotypes were estimated after AFLP fingerprinting using two enzyme combinations (EcoRI/MseI and SacI/MseI) and a number of selective primer pairs. SacI recognition sites are less evenly distributed in the genome than EcoRI sites, and occur more frequently in coding sequences. In most cases, AFLP data from only one enzyme combination are used for genetic diversity analysis. Our results show that the use of two enzyme combinations can result in significantly different classifications of the ecotypes both in cluster and ordination analysis. This difference most probably reflects differences in the genomic distribution of the AFLP fragments generated, depending on the enzymes and selective primers used. For closely related varieties, as in the case of Arabidopsis ecotypes, this can preclude reliable classification. Received: 25 September 1998 / Accepted: 3 March 1999