Characterisation of genome regions incorporated from an important wild relative into Australian sugarcane

Mandalay is an important Saccharum spontaneum clone used historically in Australian sugarcane breeding programs, and has given rise to many valuable cultivars. In order to better understand the genetic contribution of Mandalay to Australian varieties and elite parental material, a combined pedigree and quantitative trait loci (QTL) mapping approach was undertaken. A genetic map containing 400 single-dose markers was constructed for the Australian sugarcane clone MQ77340, one parent of an Australian sugarcane population (Q117 × MQ77340), using amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers. This cultivar was selected because it is a direct descendent of Mandalay; its grandparents are Korpi, a S. officinarum clone, and Mandalay. The 400 markers were scattered onto 101 linkage groups (LGs) with an estimated map length of 3582 cM. The ancestral origin of all of the markers was determined with approximately 25% of the markers shown to originate from Mandalay, and a similar percentage from Korpi. Of the 101 LGs, 65 contained markers originating from Mandalay and/or Korpi. QTL analysis was undertaken using the map and 3 years of field data for three sugar-related traits (pol, brix, and CCS) and using single year field data for fibre, stalk weight and cane and sugar yield. Markers from both Mandalay and Korpi were found to be associated with both positive and negative effects on all of the traits analysed.     

Construction of a genetic linkage map for Saccharum officinarum incorporating both simplex and duplex markers to increase genome coverage.

Saccharum officinarum L. is an octoploid with 80 chromosomes and a basic chromosome number of x = 10. It has high stem sucrose and contributes 80% of the chromosomes to the interspecific sugarcane cultivars that are grown commercially for sucrose. A genetic linkage map was developed for S. officinarum (clone IJ76-514) using a segregating population generated from a cross between Q165 (a commercial sugarcane cultivar) and IJ76-514. In total, 40 AFLP and 72 SSR primer pairs were screened across the population, revealing 595 polymorphic bands inherited from IJ76-514. These 595 markers displayed a frequency distribution different from all other sugarcane genetic maps produced, with only 40% being simplex markers (segregated 1:1). Of these 240 simplex markers, 178 were distributed on 47 linkage groups (LGs) and 62 remained unlinked. With the addition of 234 duplex markers and 80 biparental simplex markers (segregating 3:1), 534 markers formed 123 LGs. Using the multi-allelic SSR markers, repulsion phase linkage, and alignment with the Q165 linkage map, 105 of the 123 LGs could be grouped into 10 homology groups (HGs). These 10 HGs were further assigned to the 8 HGs observed in cultivated sugarcane and S. spontaneum. Analysis of repulsion phase linkage indicated that IJ76-514 is neither a complete autopolyploid nor an allopolyploid. Detection of 28 repulsion linkages that occurred between 6 pairs of LGs located in 4 HGs suggested the occurrence of limited preferential chromosome pairing in this species.     

Genetic mapping in sugarcane, a high polyploid, using bi-parental progeny: identification of a gene controlling stalk colour and a new rust resistance gene

Modern sugarcane cultivars (Saccharum spp) are highly polyploïd and aneuploid interspecific hybrids (2n=100–130). Two genetic maps were constructed using a population of 198 progeny from a cross between R570, a modern cultivar, and MQ76-53, an old Australian clone derived from a cross between Trojan (a modern cultivar) and SES528 (a wild Saccharum spontaneum clone). A total of 1,666 polymorphic markers were produced using 37 AFLP primer combinations, 46 SSRs and 9 RFLP probes. Linkage analysis led to the construction of 86 cosegregation groups for R570 and 105 cosegregation groups for MQ76-53 encompassing 424 and 536 single dose markers, respectively. The cumulative length of the R570 map was 3,144 cM, while that of the MQ76-53 map was 4,329 cM. Here, we integrated mapping information obtained on R570 in this study with that derived from a previous map based on a selfed R570 population. Two new genes controlling Mendelian traits were localized on the MQ76-53 map: a gene controlling the red stalk colour was linked at 6.5 cM to an AFLP marker and a new brown rust resistance gene was linked at 23 cM to an AFLP marker. Besides another previously identified brown rust resistance gene (Bru1), these two genes are the only other major genes to be identified in sugarcane so far.     

Genetic control of yield related stalk traits in sugarcane

A major focus of sugarcane variety improvement programs is to increase sugar yield, which can be accomplished by either increasing the sugar content of the cane or by increasing cane yield, as the correlation between these traits is low. We used a cross between an Australian sugarcane variety Q165, and a Saccharum officinarum accession, IJ76-514, to dissect the inheritance of yield-related traits in the complex polyploid sugarcane. A population of 227 individuals was grown in a replicated field trial and evaluated over 3 years for stalk weight, stalk diameter, stalk number, stalk length and total biomass. Over 1,000 AFLP and SSR markers were scored across the population and used to identify quantitative trait loci (QTL). In total, 27 regions were found that were significant at the 5% threshold using permutation tests with at least one trait; individually, they explained from 4 to 10% of the phenotypic variation and up to 46% were consistent across years. With the inclusion of digeneic interactions, from 28 to 60% of the variation was explained for these traits. The 27 genomic regions were located on 22 linkage groups (LGs) in six of the eight homology groups (HGs) indicating that a number of alleles or quantitative trait alleles (QTA) at each QTL contribute to the trait; from one to three alleles had an effect on the traits for each QTL identified. Alleles of a candidate gene, TEOSINTE BRANCHED 1 (TB1), the major gene controlling branching in maize, were mapped in this population using either an SSR or SNP markers. Two alleles showed some association with stalk number, but unlike maize, TB1 is not a major gene controlling branching in sugarcane but only has a minor and variable effect.     

A combination of AFLP and SSR markers provides extensive map coverage and identification of homo(eo)logous linkage groups in a sugarcane cultivar

Sugarcane varieties are complex polyploids carrying in excess of 100 chromosomes and are derived from interspecific hybridisation between the domesticated Saccharum officinarum and the wild relative S. spontaneum. A map was constructed in Denotes variety covered by Australian plant breeding rights., an Australian cultivar, from a segregating F1 population, using 40 amplified fragment length polymorphism (AFLP) primer combinations, five randomly amplified DNA fingerprints (RAF) primers and 72 simple sequence repeat (SSR) primers. Using these PCR-based marker systems, we generated 1,365 polymorphic markers, of which 967 (71%) were single-dose (SD) markers. Of these SD 967 markers, 910 were distributed on 116 linkage groups (LGs) with a total map length of 9,058.3 cM. Genome organisation was significantly greater than observed in previously reported maps for Saccharum spp. With the addition of 123 double-dose markers, 36 (3:1) segregating markers and a further five SD markers, 1,074 markers were mapped onto 136 LGs. Repulsion phase linkage detected preferential pairing for 40 LGs, which formed 11 LG pairs and three multi-chromosome pairing groups. Using SSRs, double-dose markers and repulsion phase linkage, we succeeded in forming 127 of the 136 LGs into eight homo(eo)logy groups (HG). Two HGs were each represented by two sets of LGs. These sets of LGs potentially correspond to S. officinarum chromosomes, with each set aligning to either end of one or two larger LGs. The larger chromosomes in the two HGs potentially correspond to S. spontaneum chromosomes. This suggestion is consistent with the different basic chromosome number of the two species that are hybridised to form sugarcane cultivars, S. spontaneum (x=8) and S. officinarum (x=10), and illustrates the structural relationship between the genomes of these two species. The discrepancy of coverage between HGs highlights the difficulty in mapping large parts of the genome.     

A comprehensive genetic map of sugarcane that provides enhanced map coverage and integrates high-throughput Diversity Array Technology (DArT) markers

Background

Sugarcane genetic mapping has lagged behind other crops due to its complex autopolyploid genome structure. Modern sugarcane cultivars have from 110-120 chromosomes and are in general interspecific hybrids between two species with different basic chromosome numbers: Saccharum officinarum (2n = 80) with a basic chromosome number of 10 and S. spontaneum (2n = 40-128) with a basic chromosome number of 8. The first maps that were constructed utilised the single dose (SD) markers generated using RFLP, more recent maps generated using AFLP and SSRs provided at most 60% genome coverage. Diversity Array Technology (DArT) markers are high throughput allowing greater numbers of markers to be generated.

Results

Progeny from a cross between a sugarcane variety Q165 and a S. officinarum accession IJ76-514 were used to generate 2467 SD markers. A genetic map of Q165 was generated containing 2267 markers, These markers formed 160 linkage groups (LGs) of which 147 could be placed using allelic information into the eight basic homology groups (HGs) of sugarcane. The HGs contained from 13 to 23 LGs and from 204 to 475 markers with a total map length of 9774.4 cM and an average density of one marker every 4.3 cM. Each homology group contained on average 280 markers of which 43% were DArT markers 31% AFLP, 16% SSRs and 6% SNP markers. The multi-allelic SSR and SNP markers were used to place the LGs into HGs.

Conclusions

The DArT array has allowed us to generate and map a larger number of markers than ever before and consequently to map a larger portion of the sugarcane genome. This larger number of markers has enabled 92% of the LGs to be placed into the 8 HGs that represent the basic chromosome number of the ancestral species, S. spontaneum. There were two HGs (HG2 and 8) that contained larger numbers of LGs verifying the alignment of two sets of S. officinarum chromosomes with one set of S. spontaneum chromosomes and explaining the difference in basic chromosome number between the two ancestral species. There was also evidence of more complex structural differences between the two ancestral species.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-152) contains supplementary material, which is available to authorized users.     

Genetic mapping of hop (Humulus lupulus L.) applied to the detection of QTLs for alpha-acid content.

The map locations and effects of quantitative trait loci (QTLs) were estimated for alpha-acid content in hop (Humulus lupulus L.) using amplified fragment length polymorphism (AFLP) and microsatellite marker (simple sequence repeat (SSR)) genetic linkage maps constructed from a double pseudotestcross. The mapping population consisted of 111 progeny from a cross between the German hop cultivar 'Magnum', which exhibits high levels of alpha-acids, and a wild Slovene male hop, 2/1. The progeny segregated quantitatively for alpha-acid content determined in 2002, 2003, and 2004. The maternal map consisted of 96 markers mapped on 14 linkage groups defining 661.90 cM of total map distance. The paternal map included 70 markers assigned to 12 linkage groups covering 445.90 cM of hop genome. QTL analysis indicated 4 putative QTLs (alpha1, alpha2, alpha3, and alpha4) on linkage groups (LGs) 03, 01, 09, and 03 of the female map, respectively. QTLs explained 11.9%-24.8% of the phenotypic variance. The most promising QTL to be used in marker-assisted selection is alpha2, the peak of which colocated exactly with the AFLP marker. Three chalcone synthase-like genes (chs2, chs3, and chs4) involved in hop bitter acid synthesis mapped together on LG04 of the female map. Saturation of the maps, particularly the putative QTL regions, will be carried out using SSR markers, and the stability of the QTLs will be tested in the coming years.     

A genetic linkage map based on AFLP and SSR markers and mapping of QTL for dry-matter content in sweetpotato

We developed a genetic linkage map of sweetpotato using amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR) markers and a mapping population consisting of 202 individuals derived from a broad cross between Xushu 18 and Xu 781, and mapped quantitative trait loci (QTL) for the storage root dry-matter content. The linkage map for Xushu 18 included 90 linkage groups with 2077 markers (1936 AFLP and 141 SSR) and covered 8,184.5 cM with an average marker distance of 3.9 cM, and the map for Xu 781 contained 90 linkage groups with 1954 markers (1824 AFLP and 130 SSR) and covered 8,151.7 cM with an average marker distance of 4.2 cM. The maps described herein have the best coverage of the sweetpotato genome and the highest marker density reported to date. These are the first maps developed that have 90 complete linkage groups, which is in agreement with the actual number of chromosomes. Duplex and triplex markers were used to detect the homologous groups, and 13 and 14 homologous groups were identified in Xushu 18 and Xu 781 maps, respectively. Interval mapping was performed first and, subsequently, a multiple QTL model was used to refine the position and magnitude of the QTL. A total of 27 QTL for dry-matter content were mapped, explaining 9.0–45.1 % of the variation; 77.8 % of the QTL had a positive effect on the variation. This work represents an important step forward in genomics and marker-assisted breeding of sweetpotato.     

Integration genetic linkage map construction and several potential QTLs mapping of Chinese shrimp (Fenneropenaeus chinensis) based on three types of molecular markers

In this study, totally 54 selected polymorphic SSR loci of Chinese shrimp (Fenneropenaeus chinensis), in addition with the previous linkage map of AFLP and RAPD markers, were used in consolidated linkage maps that composed of SSR, AFLP and RAPD markers of female and male construction, respectively. The female linkage map contained 236 segregating markers, which were linked in 44 linkage groups, and the genome coverage was 63.98%. The male linkage map contained 255 segregating markers, which were linked in 50 linkage groups, covering 63.40% of F. chinensis genome. There were nine economically important traits and phenotype characters of F. chinensis were involved in QTL mapping using multiple-QTL mapping strategy. Five potential QTLs associated with standard length (q-standardl-01), with cephalothorax length (q-cephal-01), with cephaloghorax width (q-cephaw-01), with the first segment length (q-firsel-01) and with anti-WSSV (q-antiWSSV-01) were detected on female LG1 and male LG44 respectively with LOD> 2.5. The QTL q-firsel-01 was at 73.603 cM of female LG1. Q-antiWSSV-01 was at 0 cM of male LG44. The variance explained of these five QTLs was from 19.7-33.5% and additive value was from -15.9175 to 7.3675. The closest markers to these QTL were all SSR, which suggested SSR marker was superior to AFLP and RAPD in the QTL mapping.     

Identification of a major quantitative trait locus (QTL) for yellow spot (<Emphasis Type="Italic">Mycovellosiella koepkei</Emphasis>) disease resistance in sugarcane

In this study we used amplified fragment length polymorphism (AFLP) and microsatellite (short sequence repeat or SSR) markers to identify a major quantitative trail locus (QTL) for yellow spot (Mycovellosiella koepkei) disease resistance in sugarcane. A bi-parental cross between a resistant variety, M 134/75, and a susceptible parent, R 570, generated a segregating population of 227 individuals. These clones were evaluated for yellow spot infection in replicated field trials in two locations across two consecutive years. A χ²-test (χ² at 98% confidence level) of the observed segregation pattern for yellow spot infection indicated a putative monogenic dominant inheritance for the trait with a 3 (resistant):1(susceptible) ratio. The AFLP and SSR markers identified 666 polymorphisms as being present in the resistant parent and absent in the susceptible one. A genetic map of M 134/75 was constructed using 557 single-dose polymorphisms, resulting in 95 linkage groups containing at least two markers based on linkages in coupling. QTL analysis using QTLCartographer v1.17d and MAPMAKER/QTL v1.1 identified a single major QTL located on LG87, flanked by an AFLP marker, actctc10, and an SSR marker, CIR12284. This major QTL, which was found to be linked at 14 cM to an AFLP marker, was detected with LOD 8.7, had an additive effect of −10.05% and explained 23.8% of the phenotypic variation of yellow spot resistance.     

大豆遗传图谱的构建和分析

分子标记连锁图的构建为植物基因组的结构和功能分析提供了有力的工具。较高密度的遗传图谱在数量性状基因定位、图位克隆重要农艺性状基因等研究中发挥了巨大作用。应用栽培大豆长农４和半野生大豆新民６杂交得到的Ｆ８代重组自交系,构建了一张较高密度的遗传图谱。该图谱共有２４０个标记,其中包括２个形态标记、１００个ＲＦＬＰ标记、３３个ＳＳＲ标记、４２个ＡＦＬＰ标记、６２个ＲＡＰＤ标记和１个ＳＣＡＲ标记,分布在２２     

Saturation of two chromosome regions conferring resistance to SCMV with SSR and AFLP markers by targeted BSA

Quantitative trait loci (QTLs) and bulked segregant analyses (BSA) identified the major genes Scmv1 on chromosome 6 and Scmv2 on chromosome 3, conferring resistance against sugarcane mosaic virus (SCMV) in maize. Both chromosome regions were further enriched for SSR and AFLP markers by targeted bulked segregant analysis (tBSA) in order to identify and map only markers closely linked to either Scmv1 or Scmv2. For identification of markers closely linked to the target genes, symptomless individuals of advanced backcross generations BC5 to BC9 were employed. All AFLP markers, identified by tBSA using 400 EcoRI/ MseI primer combinations, mapped within both targeted marker intervals. Fourteen SSR and six AFLP markers mapped to the Scmv1 region. Eleven SSR and 18 AFLP markers were located in the Scmv2 region. Whereas the linear order of SSR markers and the window size for the Scmv2 region fitted well with publicly available genetic maps, map distances and window size differed substantially for the Scmv1 region on chromosome 6. A possible explanation for the observed discrepancies is the presence of two closely linked resistance genes in the Scmv1 region.     

Integration genetic linkage map construction and several potential QTLs mapping of Chinese shrimp (<Emphasis Type="Italic">Fenneropenaeus chinensis</Emphasis>) based on three types of molecular markers

In this study, totally 54 selected polymorphic SSR loci of Chinese shrimp (Fenneropenaeus chinensis), in addition with the previous linkage map of AFLP and RAPD markers, were used in consolidated linkage maps that composed of SSR, AFLP and RAPD markers of female and male construction, respectively. The female linkage map contained 236 segregating markers, which were linked in 44 linkage groups, and the genome coverage was 63.98%. The male linkage map contained 255 segregating markers, which were linked in 50 linkage groups, covering 63.40% of F. chinensis genome. There were nine economically important traits and phenotype characters of F. chinensis were involved in QTL mapping using multiple-QTL mapping strategy. Five potential QTLs associated with standard length (q-standardl-01), with cephalothorax length (q-cephal-01), with cephaloghorax width (q-cephaw-01), with the first segment length (q-firsel-01) and with anti-WSSV (q-antiWSSV-01) were detected on female LG1 and male LG44 respectively with LOD > 2.5. The QTL q-firsel-01 was at 73.603 cM of female LG1. Q-antiWSSV-01 was at 0 cM of male LG44. The variance explained of these five QTLs was from 19.7–33.5% and additive value was from −15.9175 to 7.3675. The closest markers to these QTL were all SSR, which suggested SSR marker was superior to AFLP and RAPD in the QTL mapping.     

Functional integrated genetic linkage map based on EST-markers for a sugarcane (<Emphasis Type="Italic">Saccharum</Emphasis> spp.) commercial cross

The growing availability of ESTs provides a potentially valuable source of new DNA markers. The authors examined the SUCEST database and developed EST-derived markers. Thus to enhance the resolution of an existing linkage map and to identify putative functional polymorphic gene loci in a sugarcane commercial cross, 149 EST-SSRs and 10 EST-RFLPs were screened in the SP80-180 × SP80-4966 mapping population. With the markers already analyzed in the previous map, 2303 polymorphic markers were generated, of which 1669 (72.5%) were single-dose (SD) markers. Out of these 1669 SD markers, 664 (40%) were scattered onto 192 co-segregation groups (CGs) with a total estimated length of 6.261,1 cM. Using both genomic and EST-derived SSR and RFLP markers, 120 out of the 192 CGs were formed into fourteen putative homology groups (HGs). The EST-derived markers were subjected to BLASTX search in the SUCEST database, of which putative function was assigned to 113 EST-SSRs and six EST-RFLPs based on high nucleotide homology to previously studied genes. The integration of EST-derived markers improved the map, making it possible to consider additional fine mapping of the genome, and providing the means for developing ‘perfect markers’ associated with key QTL. To summarize, this paper deals with the construction of a genetic linkage map of sugarcane that is populated by functionally associated markers.     

Construction of genetic linkage maps and QTL mapping for X-disease resistance in tetraploid chokecherry (Prunus virginiana L.) using SSR and AFLP markers

Chokecherry (Prunus virginiana L.) (2n = 4x = 32) is a unique Prunus species for both genetics and disease resistance research due to its tetraploid nature and known variations in X-disease resistance. X-disease is a destructive disease of stone fruit trees, causing yield loss and poor fruit quality. However, genetic and genomic information on chokecherry is limited. In this study, simple sequence repeat (SSR) and amplified fragment length polymorphism (AFLP) markers were used to construct genetic linkage maps and to identify quantitative trait loci (QTLs) associated with X-disease resistance in chokecherry. A segregating population (101 progenies) was developed by crossing an X-disease-resistant chokecherry line (RC) with a susceptible chokecherry line (SC). A total of 498 DNA markers (257 SSR and 241 AFLP markers) were mapped on the two genetic maps of the two parental lines (RC and SC). The map of RC contains 302 markers assigned to 14 linkage groups covering 2,089 cM of the genome. The map of SC has 259 markers assigned to 16 linkage groups covering 1,562.4 cM of the genome. The average distance between two markers was 6.9 cM for the RC map and 6.0 cM for the SC map. One QTL located on linkage group 15 on the map of SC was found to be associated with X-disease resistance. Genetic linkage maps and the identified QTL linked to X-disease resistance will further facilitate genetic research and breeding of X-disease resistance in chokecherry and other Prunus species.     

The Complex Genetic Structure of Sugarcane Limits Identification of Additional SNP-Defined Simplex Alleles in Microsatellite Loci

Cultivated sugarcane possesses a large number of chromosomes (typically >80) which can be organised into eight homology groups, each containing approximately 12 homo(eo)logous chromosomes. Currently, microsatellite (SSR) markers are the most easily used markers for marker-assisted selection and other genetic applications. However, only SSR alleles that segregate as simplex and duplex markers can be incorporated into sugarcane maps using populations of ～300 progeny. Consequently only a subset of possible alleles have been mapped for a given SSR locus and are available for subsequent QTL analyses. Three sugarcane SSR loci, mSSCIR8, mSSCIR17 and mSSCIR18, were amplified, cloned and sequenced from the parents of an Australian sugarcane mapping population, IJ76-514 and . The sequences were examined to identify nucleotide sequence polymorphisms in the flanking regions that could provide additional simplex SSR allele markers. Alignment of the sequences revealed SNP, indel and repeat length variation and the pattern of sequence variation suggested multiple alleles for each SSR, including all of the alleles previously scored by fragment length. While the flanking regions of the SSR loci contained numerous SNPs and indels, none defined new simplex alleles within multiplex fragments and no new SSR simplex alleles were mapped. Furthermore, many of the sequence-defined alleles appear to be spurious and may have arisen from PCR-mediated recombination. These results confirm the difficulties associated with characterising allelic diversity in a polyploid species and the complexity of mapping in sugarcane.     

Construction of an integrated map of rose with AFLP, SSR, PK, RGA, RFLP, SCAR and morphological markers

A high-density genetic map with a number of anchor markers has been created to be used as a tool to dissect genetic variation in rose. Linkage maps for the diploid 94/1 population consisting of 88 individuals were constructed using a total of 520 molecular markers including AFLP, SSR, PK, RGA, RFLP, SCAR and morphological markers. Seven linkage groups, putatively corresponding to the seven haploid rose chromosomes, were identified for each parent, spanning 487 cM and 490 cM, respectively. The average length of 70 cM may cover more than 90% of the rose genome. An integrated map was constructed by incorporating the homologous parental linkage groups, resulting in seven linkage groups with a total length of 545 cM. The present linkage map is currently the most advanced map in rose with regard to marker density, genome coverage and with robust markers, giving good perspectives for QTL mapping and marker-assisted breeding in rose. The SSR markers, together with RFLP markers, provide good anchor points for future map alignment studies in rose and related species. Codominantly scored AFLP markers were helpful in the integration of the parental maps.     

Distribution of Simple Sequence Repeat and AFLP Markers in Molecular Linkage Map of Rice

SSR (simple sequence repeat) and AFLP (amplified fragment length polymorphism) are PCR-based molecular markers developed in recent years. In this study, the authors analyzed the polymorphisms, inheritance and distribution of SSR and AFLP markers using an F2 population from a cross between cultivar "Aijiao Nante" ( Oryza sativa L. ssp. indica) and an accession of the common wild rice ( O. rufipogon Griff). A total of 200 new markers were obtained including 28 SSR and 172 AFLP markers. Six of the 28 SSR markers were developed by National Key Laboratory of Crop Genetic Improvement (NKLCGI) using DNA sequences from GenBank and the other 22 were from data published previously. The 172 AFLP markers were from a total 228 polymorphic bands amplified using 25 selected primer combinations. Mapping of the 200 new markers using NKLCGI' S previously developed RFLP map based on the same F2 population resolved these markers to all 12 rice chromosomes. Integration of the SSR and AFLP markers into the RFLP map resulted in a high density molecular linkage map containing 612 polymorphic loci.     

A grapevine (<Emphasis Type="Italic">Vitis vinifera</Emphasis> L.) genetic map integrating the position of 139 expressed genes

Grapevine molecular maps based on microsatellites, AFLP and RAPD markers are now available. SSRs are essential to allow cross-talks between maps, thus upgrading any growing grapevine maps. In this work, single nucleotide polymorphisms (SNPs) were developed from coding sequences and from unique BAC-end sequences, and nested in a SSR framework map of grapevine. Genes participating to flavonoids metabolism and defence, and signal transduction pathways related genes were also considered. Primer pairs for 351 loci were developed from ESTs present on public databases and screened for polymorphism in the “Merzling” (a complex genotype Freiburg 993–60 derived from multiple crosses also involving wild Vitis species) × Vitis vinifera (cv. Teroldego) cross population. In total 138 SNPs, 108 SSR markers and a phenotypic trait (berry colour) were mapped in 19 major linkage groups of the consensus map. In specific cases, ESTs with putatively related functions mapped near QTLs previously identified for resistance and berry ripening. Genes related to anthocyanin metabolism mapped in different linkage groups. A myb gene, which has been correlated with anthocyanin biosynthesis, cosegregated with berry colour on linkage group 2. The possibility of associating candidate genes to known position of QTL is discussed for this plant. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. Marzia Salmaso and Giulia Malacarne contributed equally to the present work.     

The construction of a genetic linkage map of red raspberry (Rubus idaeus subsp. idaeus) based on AFLPs, genomic-SSR and EST-SSR markers

Breeding in raspberry is time-consuming due to the highly heterozygous nature of this perennial fruit crop, coupled with relatively long periods of juvenility. The speed and precision of raspberry breeding can be improved by genetic linkage maps, thus facilitating the development of diagnostic markers for polygenic traits and the identification of genes controlling complex phenotypes. A genetic linkage map (789 cM) of the red raspberry Rubus idaeus has been constructed from a cross between two phenotypically different cultivars; the recent European cultivar Glen Moy and the older North American cultivar Latham. SSR markers were developed from both genomic and cDNA libraries from Glen Moy. These SSRs, together with AFLP markers, were utilised to create a linkage map. In order to test the utility of the genetic linkage map for QTL analysis, morphological data based on easily scoreable phenotypic traits were collected. The segregation of cane spininess, and the root sucker traits of density and spread from the mother plant, was quantified in two different environments. These traits were analysed for significant linkages to mapped markers using MapQTL and were found to be located on linkage group 2 for spines and group 8 for density and diameter. The availability of co-dominant markers allowed heterozygosities to be calculated for both cultivars.