Single-dose Markers Research Articles

Maximization of Markers Linked in Coupling for Tetraploid Potatoes via Monoparental Haploids

Haploid potato populations derived from a single tetraploid donor constitute an efficient strategy to analyze markers segregating from a single donor genotype. Analysis of marker segregation in populations derived from crosses between polysomic tetraploids is complicated by a maximum of eight segregating alleles, multiple dosages of the markers and problems related to linkage analysis of marker segregation in repulsion. Here, we present data on two monoparental haploid populations generated by prickle pollination of two tetraploid cultivars with Solanum phureja and genotyped with the 12.8 k SolCAP single nucleotide polymorphism (SNP) array. We show that in a population of monoparental haploids, the number of biallelic SNP markers segregating in linkage to loci from the tetraploid donor genotype is much larger than in putative crosses of this genotype to a diverse selection of 125 tetraploid cultivars. Although this strategy is more laborious than conventional breeding, the generation of haploid progeny for efficient marker analysis is straightforward if morphological markers and flow cytometry are utilized to select true haploid progeny. The level of introgressed fragments from S. phureja, the haploid inducer, is very low, supporting its suitability for genetic analysis. Mapping with single-dose markers allowed the analysis of quantitative trait loci (QTL) for four phenotypic traits.

GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane

BackgroundSugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest. However, due to the genetic complexity of sugarcane, the practical applications of genomic tools have been notably delayed in this crop, in contrast to other crops that have already advanced to marker-assisted selection (MAS) and genomic selection. High-throughput next-generation sequencing (NGS) technologies have opened new opportunities for discovering molecular markers, especially single nucleotide polymorphisms (SNPs) and insertion-deletion (indels), at the genome-wide level. The objectives of this study were to (i) establish a pipeline for identifying variants from genotyping-by-sequencing (GBS) data in sugarcane, (ii) construct an integrated genetic map with GBS-based markers plus target region amplification polymorphisms and microsatellites, (iii) detect QTLs related to yield component traits, and (iv) perform annotation of the sequences that originated the associated markers with mapped QTLs to search putative candidate genes.ResultsWe used four pseudo-references to align the GBS reads. Depending on the reference, from 3,433 to 15,906 high-quality markers were discovered, and half of them segregated as single-dose markers (SDMs) on average. In addition to 7,049 non-redundant SDMs from GBS, 629 gel-based markers were used in a subsequent linkage analysis. Of 7,678 SDMs, 993 were mapped. These markers were distributed throughout 223 linkage groups, which were clustered in 18 homo(eo)logous groups (HGs), with a cumulative map length of 3,682.04 cM and an average marker density of 3.70 cM. We performed QTL mapping of four traits and found seven QTLs. Our results suggest the presence of a stable QTL across locations. Furthermore, QTLs to soluble solid content (BRIX) and fiber content (FIB) traits had markers linked to putative candidate genes.ConclusionsThis study is the first to report the use of GBS for large-scale variant discovery and genotyping of a mapping population in sugarcane, providing several insights regarding the use of NGS data in a polyploid, non-model species. The use of GBS generated a large number of markers and still enabled ploidy and allelic dosage estimation. Moreover, we were able to identify seven QTLs, two of which had great potential for validation and future use for molecular breeding in sugarcane.

Marker-trait association and epistasis for brown rust resistance in sugarcane

Sugarcane brown rust, caused by Puccinia melanocephala, is one of the major sugarcane diseases. The detection of molecular markers associated to brown rust resistance and also of its epistatic interactions were investigated in a mapping population obtained by crossing the brown rust susceptible clone IACSP953018 and the resistant cultivar IACSP933046. Resistance was evaluated in a field trial in plant cane and first ratoon under natural infection and scored using a diagrammatic scale from 1 (most resistance) to 9 (most susceptible). A total of 488 single dose markers (amplified fragment length polymorphism AFLP, genomic microsatellite gSSR and expressed sequence tag derived microsatellites EST-SSRs) were evaluated through a single marker trait association approach for brown rust resistance. Sixty one putative quantitative trait alleles (QTA) for brown rust (30 in plant cane, 31 in ratoon cane; 10 of them was common for both crop years) were detected of which several were related to resistance. Twenty one (34 %) of the markers associated to QTA derived from ESTs. Some of them have similarity to genes/proteins related to disease response pathways. The estimates of the proportion of the total phenotypic variation (\(\hat{R}^{2}\)) explained by each significant main QTA effect ranged from 1.84 to 7.22 %, while the total explained variance estimates were 37.25 % (plant cane) and 43.26 % (ratoon cane) considering all main significant QTA effects. Fifty significant digenic epistatic interactions were suggested with the majority (68 %) contributing to increase brown rust resistance. Together, these probable epistatic effects explain 16.26 % (plant cane) and 17.22 % (ratoon cane) of the total phenotypic variance. Although evidence of epistasis was observed, linkage cannot be ruled out as the majority of the markers involved in the digenic interaction could not be addressed to any linkage group. The results suggest that epistasis may have an important contribution on sugarcane resistance to brown rust.

Genetic Linkage Mapping and Transmission Ratio Distortion in a Three-Generation Four-Founder Population ofPanicum virgatum(L.)

Switchgrass (Panicum virgatum L.), a warm season, C4, perennial grass, is one of the predominant grass species of the North American tall grass prairies. It is viewed as a high-potential bioenergy feedstock species because it can produce large amounts of lignocellulosic material with relatively few inputs. The objectives of this project were to develop an advanced switchgrass population and use it for the construction of genetic linkage maps and trait characterization. A three-generation, four-founder population was created and a total of 182 progeny of this advanced population were genotyped, including a mixture of self-pollinated and hybrid individuals. The female map integrated both subpopulations and covered 1629 cM of the switchgrass genome, with an average map length of 91 cM per linkage group. The male map of the hybrid progeny covered 1462 cM, with an average map length of 81 cM per linkage group. Average marker density of the female and male maps was 3.9 and 3.5 cM per marker interval, respectively. Based on the parental maps, the genome length of switchgrass was estimated to be 1776 cM and 1596 cM for the female map and male map, respectively. The proportion of the genome within 5 cM of a mapped locus was estimated to be 92% and 93% for the female map and male map, respectively. Thus, the linkage maps have covered most of the switchgrass genome. The assessment of marker transmission ratio distortion found that 26% of the genotyped markers were distorted from either 1:1 or 3:1 ratios expected for segregation of single dose markers in one or both parents, respectively. Several regions affected by transmission ratio distortion were found, with linkage groups Ib-m and VIIIa-f most affected.

The Use of SNP Markers for Linkage Mapping in Diploid and Tetraploid Peanuts

Single nucleotide polymorphic markers (SNPs) are attractive for use in genetic mapping and marker-assisted breeding because they can be scored in parallel assays at favorable costs. However, scoring SNP markers in polyploid plants like the peanut is problematic because of interfering signal generated from the DNA bases that are homeologous to those being assayed. The present study used a previously constructed 1536 GoldenGate SNP assay developed using SNPs identified between two A. duranensis accessions. In this study, the performance of this assay was tested on two RIL mapping populations, one diploid (A. duranensis × A. stenosperma) and one tetraploid [A. hypogaea cv. Runner IAC 886 × synthetic tetraploid (A. ipaënsis × A. duranensis)4×]. The scoring was performed using the software GenomeStudio version 2011.1. For the diploid, polymorphic markers provided excellent genotyping scores with default software parameters. In the tetraploid, as expected, most of the polymorphic markers provided signal intensity plots that were distorted compared to diploid patterns and that were incorrectly scored using default parameters. However, these scorings were easily corrected using the GenomeStudio software. The degree of distortion was highly variable. Of the polymorphic markers, approximately 10% showed no distortion at all behaving as expected for single-dose markers, and another 30% showed low distortion and could be considered high-quality. The genotyped markers were incorporated into diploid and tetraploid genetic maps of Arachis and, in the latter case, were located almost entirely on A genome linkage groups.

Bayesian estimation of marker dosage in sugarcane and other autopolyploids

In sugarcane or other autopolyploids, after generating the data, the first step in constructing molecular marker maps is to determine marker dosage. Improved methods for correctly allocating marker dosage will result in more accurate maps and increased efficiency of QTL linkage detection. When employing dominant markers like AFLPs, single-dose markers represent alleles present as one copy in one parent and null in the other parent, double-dose markers are those present as two copies in one parent and null in the other parent and so on. Observed segregation ratios in the offspring are employed to infer marker dosage in the parent from which the marker was inherited. Commonly, for each marker, a chi (2) test is used to assign dosage. Such an approach does not address important practical considerations such as multiple testing and departures from theoretical assumptions. In particular, extra-binomial variation or overdispersion has been observed in sugarcane studies and standard methods may result in fewer correct dosage allocations than the data warrant. To address these shortcomings, a Bayesian mixture model is proposed where all markers are considered simultaneously. Since analytic solutions are not available, Markov chain Monte Carlo methods are employed. Marker dosage allocation for each individual marker employs the estimated posterior probability of each dosage. For a sugarcane study these methods resulted in more markers being allocated a dosage than by standard approaches. Simulation studies demonstrated that, in general, not only are more markers classified but that more markers are also correctly classified, particularly if overdispersion is present.

Construction of Molecular Genetic Linkage Map of Sugarcane Based on SSR and AFLP Markers

To take advantage of the MAS technique and develop the molecular genetic linkage map in sugarcane breeding program in China,we constructed two molecular genetic maps by single dose markers (SDM) and double dose markers (DDM) from 36 SSR and 12 AFLP primers for two mapping populations (F1 and BC1).F1 population was from cross combination of sugarcane commercial variety (Co419) × S.spontaneum (Y75/1/2) consisting of 269 true individuals,BC1 population from backcross combination of F1 02/356×sugarcane commercial variety (ROC25) with 266 true individuals.All plants from two populations were detected by PCR.Two molecular genetic linkage maps were established.298 SDMs and DDMs were acquired by χ2 test from 630 segregation markers of F1 population,about 47% of total markers;264 SDMs and DDMs were obtained from 571 segregation markers of BC1 population which were 46% of total markers,Co41902/356Y75/1/2ROC25 in efficiency of getting SDMs and DDMs.Based on LOD ≥ 5.0,genetic distance ≤ 40 cM between markers,134 of 298 SDMs and DDMs from F1 population formed 55 linkage groups (LGs),among which 39 LGs were included in eight homology groups(HGs),16 LGs were excluded,the map length reached 1 458.3 cM with an average distance of 10.9 cM between markers;133 of 298 SDMs and DDMs from BC1 population made up 47 LGs,among which 34 LGs were composed in eight HGs except for 13 LGs,the map covered 1 059.6 cM with an average distance of 8.0 cM.At the same time,these SDMs and DDMs from Co419 and Y75/1/2 formed 34 LGs and 20 LGs,respectively,and these SDMs from two parents only made up 1 LGs;19 LGs were obtained from these SDMs and DDMs of 02/356,and ROC25,9 LGS were formed by SDMs from two parents;Co419Y75/1/202/356=ROC2 according to forming number of LGs.These results indicated that F1 mapping population was better than BC1 mapping population in quality of constructing linkage map.The maps will provide the valuable information for locating gene,further research on genetic linkage map and MAS breeding.

A first-in-human phase I study to evaluate the pan-PI3K inhibitor GDC-0941 administered QD or BID in patients with advanced solid tumors

3501 Background: The PI3K-PTEN-AKT signaling pathway is deregulated in a wide variety of cancers. GDC-0941 is a potent and selective oral inhibitor of the class I PI3K with 3 nM IC50 for the p110-alpha subunit in vitro and 28 nM IC50 in a cell-based pAKT assay and demonstrates broad activity in breast, ovarian, lung, and prostate cancer models. Methods: A Phase I dose escalation study using a 3+3 design was initiated in patients (pts) with solid tumors. GDC-0941 was given on d1, followed by 1 wk washout to study single-dose PK and PD markers. GDC-0941 was then administered qd on a 3 wk on, 1 wk off, schedule. Steady-state PK and PD were evaluated after 1 wk of continuous dosing. A separate concurrent dose-escalation arm with bid dosing was initiated after the third qd cohort. Results: Nineteen pts have been enrolled in 5 successive dose-escalation cohorts in the qd arm with dose levels up to 80 mg daily. Seven pts were enrolled in 2 cohorts in the bid arm at total daily doses of 60 and 80 mg. The most frequently reported drug-related AEs were Grade 1/2 nausea, fatigue, diarrhea, peripheral edema, and dysgeusia; no drug related grade >3 events have been reported. PK data suggest dose-proportional increases in Cmax and AUC. Potential signs of anti-tumor activity have been observed with a soft tissue sarcoma pt on-study for >176 days with stable disease (30 mg qd), an ovarian cancer pt with an on-study 2.8-fold decrease in CA-125 response to normal levels (30 mg bid) and a pt with endometrial cancer with a decrease in tumor FDG-PET uptake (80 mg qd). Conclusions: GDC-0941 is generally well-tolerated with potential signs of anti-tumor activity. Preliminary PK data suggest dose-proportional increases in exposure over the dose levels evaluated. Dose-escalation on both the qd and bid schedules continues with updated data to be presented. [Table: see text]

Development of a genetic linkage map and identification of homologous linkage groups in sweetpotato using multiple-dose AFLP markers

Sweetpotato genomic research is minimal compared to most other major crops despite its worldwide importance as a food crop. The development of a genetic linkage map in sweetpotato will provide valuable information about the genomic organization of this important species that can be used by breeders to accelerate the introgression of desired traits into breeding lines. We developed a mapping population consisting of 240 individuals of a cross between ‘Tanzania’, a cream-fleshed African landrace, and ‘Beauregard’, an orange-fleshed US sweetpotato cultivar. The genetic linkage map of this population was constructed using Amplified Fragment Length Polymorphism (AFLP) markers. A total of 1944 (‘Tanzania’) and 1751 (‘Beauregard’) AFLP markers, of which 1511 and 1303 were single-dose markers respectively, were scored. Framework maps consisting of 86 and 90 linkage groups for ‘Tanzania’ and ‘Beauregard’ respectively, were developed using a combination of JoinMap 3.0 and MAPMAKER/EXP 3.0. A total of 947 single-dose markers were placed in the final framework linkage map for ‘Tanzania’. The linkage map size was estimated as 5792 cM, with an average distance between markers of 4.5 cM. A total of 726 single-dose markers were placed in the final framework map for ‘Beauregard’. The linkage map length was estimated as 5276 cM, with an average distance between markers of 4.8 cM. Duplex and triple-dose markers were used to identify the corresponding homologous groups in the maps. Our research supports the hypothesis that sweetpotato is an autopolyploid. Distorted segregation in some markers of different dosages in this study suggests that some preferential pairing occurs in sweetpotato. However, strict allopolyploid inheritance in sweetpotato can be ruled out due to the observed segregation ratios of the markers, and the proportion of simplex to multiple-dose markers.

Functional integrated genetic linkage map based on EST-markers for a sugarcane (Saccharum 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.

A genetic map of tetraploid Paspalum notatum Flügge (bahiagrass) based on single-dose molecular markers

Paspalum notatum Flügge is a warm-season forage grass with mainly diploid (2n = 20) and autotetraploid (2n = 40) representatives. Diploid races reproduce sexually and require crosspollination due to a self-incompatible mating system, while autotetraploids reproduce by aposporous apomixis. The objectives of this work were to develop a genetic linkage map of Paspalum notatum Flügge at the tetraploid level, identify the linkage/s group/s associated with apomixis and carry out a general characterization of its mode of inheritance. A pseudo test-cross F1 family of 113 individuals segregating for the mode of reproduction was obtained by crossing a synthetic completely sexual tetraploid plant (Q4188) as female parent with a natural aposporous individual (Q4117) as pollen donor. Map construction was based on single-dose markers (SDAFs) segregating from both parents. Two linkage maps (female and male) were constructed. Within each map, homologous groups were assembled by detecting repulsion-phase linked SDAFs. Putative Q4188 and Q4117 homolog groups were identified by mapping shared single dose markers (BSDF). The Q4188 map consisted of 263 markers distributed on 26 co-segregation groups over a total genetic distance of 1.590.6 cM, while the Q4117 map contained 216 loci dispersed on 39 co-segregation groups along 2.265.7 cM, giving an estimated genome coverage of 88% and 83%, respectively. Seven and 12 putative homologous chromosomes were detected within Q4188 and Q4117 maps, respectively. Afterward, ten female and male homologous chromosomes were identified by mapping BSDFs. In the Q4117 map, a single linkage group was associated with apospory. It was characterized by restriction in recombination and preferential chromosome pairing. A BPSD marker mapping within this group allowed the detection of the female homolog and the putative four male groups of the set carrying apospory.

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.

Development of an integrated genetic map of a sugarcane (Saccharum spp.) commercial cross, based on a maximum-likelihood approach for estimation of linkage and linkage phases

Sugarcane (Saccharum spp.) is a clonally propagated outcrossing polyploid crop of great importance in tropical agriculture. Up to now, all sugarcane genetic maps had been developed using either full-sib progenies derived from interspecific crosses or from selfing, both approaches not directly adopted in conventional breeding. We have developed a single integrated genetic map using a population derived from a cross between two pre-commercial cultivars ('SP80-180' x 'SP80-4966') using a novel approach based on the simultaneous maximum-likelihood estimation of linkage and linkage phases method specially designed for outcrossing species. From a total of 1,118 single-dose markers (RFLP, SSR and AFLP) identified, 39% derived from a testcross configuration between the parents segregating in a 1:1 fashion, while 61% segregated 3:1, representing heterozygous markers in both parents with the same genotypes. The markers segregating 3:1 were used to establish linkage between the testcross markers. The final map comprised of 357 linked markers, including 57 RFLPs, 64 SSRs and 236 AFLPs that were assigned to 131 co-segregation groups, considering a LOD score of 5, and a recombination fraction of 37.5 cM with map distances estimated by Kosambi function. The co-segregation groups represented a total map length of 2,602.4 cM, with a marker density of 7.3 cM. When the same data were analyzed using JoinMap software, only 217 linked markers were assigned to 98 co-segregation groups, spanning 1,340 cM, with a marker density of 6.2 cM. The maximum-likelihood approach reduced the number of unlinked markers to 761 (68.0%), compared to 901 (80.5%) using JoinMap. All the co-segregation groups obtained using JoinMap were present in the map constructed based on the maximum-likelihood method. Differences on the marker order within the co-segregation groups were observed between the two maps. Based on RFLP and SSR markers, 42 of the 131 co-segregation groups were assembled into 12 putative homology groups. Overall, the simultaneous maximum-likelihood estimation of linkage and linkage phases was more efficient than the method used by JoinMap to generate an integrated genetic map of sugarcane.

Identification and Validation of Molecular Markers Associated with Pachymetra Root Rot and Brown Rust Resistance in Sugarcane Using Map- and Association-based Approaches

Marker-assisted selection for traits that are difficult to screen for, such as resistance to many sugarcane diseases, has the potential to facilitate the development of improved cultivars in sugarcane. Pachymetra root rot (PRR) and brown rust resistance ratings were obtained over two years for 192 I1 progeny (progeny produced by two heterozygous, non-inbred parental lines) of a sugarcane (Saccharum spp. hybrid) cross between two elite sugarcane clones, Q117 and 74C42. Approximately 1000 single-dose markers, including microsatellite (SSR), amplified fragment length polymorphism (AFLP) and restriction fragment length polymorphism (RFLP) markers, were scored across the population and maps containing approximately 400 markers were constructed for each parent. At p ≤ 0.01, two genomic regions, one from the female Q117 map and a different region from the 74C42 male map, plus an unlinked bi-parental simplex marker (single-dose marker present in both parents) were identified as associated with PRR over both years of data collection. These regions explained between 6 and 16% of the phenotypic variation. An additional region was identified in the female map as associated with PRR at p ≤ 0.01 in one year and p ≤ 0.05 in the second year. This region explained between 4 and 8% of the phenotypic variation. For brown rust, two genomic regions, one from the female map and one from the male map, plus an unlinked marker from both maps, were identified as associated with brown rust resistance at p ≤ 0.01 over two years of phenotypic data. Each region explained between 7 and 18% of the phenotypic variation. Several additional regions were identified in both maps as associated with brown rust at p ≤ 0.01 in one year and p ≤ 0.05 in the second year. These regions also explained between 5 and 11% of the phenotypic variation. To validate these markers and determine whether they would be useful in alternative germplasm, markers from each genomic region associated with PRR or brown rust were screened across a set of 154 elite sugarcane clones; PRR and brown rust ratings were available for 131 and 72 of the clones, respectively. For PRR, three of the 6 markers tested remained significantly associated (p ≤ 0.01) with resistance ratings in the elite clone set. For brown rust, only one of the seven markers tested remained significantly associated (p ≤ 0.01) with resistance in the elite clone set, with one other marker associated at p ≤ 0.05. These results suggest that these markers could be broadly effective in selecting for PRR and/or brown rust resistance in sugarcane breeding programs.

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.

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.

Microsatellite-AFLP for genetic mapping of complex polyploids.

In spite of the economical relevance of polyploid crops, genetic mapping of these species has been relatively overlooked. This is because of intrinsic difficulties such as the uncertainty of the chromosome behavior at meiosis I and the need for very large segregating populations. An important, yet underestimated issue, in mapping polyploids is the choice of the molecular marker system. An ideal molecular marker system for polyploid mapping should maximize the percentage of single dose markers (SDMs) detected and the possibility of recognizing allelic markers. In the present work, the marker index for genetic mapping (MIgm) of M-AFLP is compared with that of AFLP and SAMPL. M-AFLPs have the highest MIgm values (22 vs. 18.5 of SAMPL and 9.83 of AFLP) mostly because of their high power to detect polymorphism. Owing to their prevalent codominant inheritance, it is proposed that M-AFLP can be used for the preliminary identification of hom(e)ologous groups.

Linkage mapping in tetraploid willows: segregation of molecular markers and estimation of linkage phases support an allotetraploid structure for Salix alba x Salix fragilis interspecific hybrids.

Salix alba-Salix fragilis complex includes closely related dioecious polyploid species, which are obligate outcrossers. Natural populations of these willows and their hybrids are represented by a mixture of highly heterozygous genotypes sharing a common gene pool. Since nothing is known about their genomic constitution, tetraploidy (2n=4x=76) in willow species makes basic and applied genetic studies difficult. We have used a two-way pseudotestcross strategy and single-dose markers (SDMs) to construct the first linkage maps for both pistillate and staminate willows. A total of 242 amplified fragment length polymorphisms (AFLPs) and 50 selective amplifications of microsatellite polymorphic loci (SAMPL) markers, which showed 1:1 segregation in the F(1) mapping populations, were used in linkage analysis. In S. alba, 73 maternal and 48 paternal SDMs were mapped to 19 and 16 linkage groups covering 708 and 339 cM, respectively. In S. fragilis, 13 maternal and 33 paternal SDMs were mapped in six and 14 linkage groups covering 98 and 321 cM, respectively. For most cosegregation groups, a comparable number of markers linked in coupling and repulsion was identified. This finding suggests that most of chromosomes pair preferentially as occurs in allotetraploid species exhibiting disomic inheritance. The detection of 10 pairs of marker alleles from single parents showing codominant inheritance strengthens this hypothesis. The fact that, of the 1122 marker loci identified in the two male and female parents, the vast majority (77.5%) were polymorphic and as few as 22.5% were shared between parental species highlight that S. alba and S. fragilis genotypes are differentiated. The highly difference between S. alba- and S. fragilis-specific markers found in both parental combinations (on average, 65.3 vs 34.7%, respectively) supports the (phylogenetic) hypothesis that S. fragilis is derived from S. alba-like progenitors.

A genetic linkage map of sweetpotato [ Ipomoea batatas (L.) Lam.] based on AFLP markers

Amplified Fragment Length Polymorphism (AFLP) based genetic linkage maps were developed for hexaploid sweetpotato (Ipomoea batatas (L.) Lam., 2n = 6x = 90) using a segregating population derived from a biparental cross between the cultivars 'Tanzania' and 'Bikilamaliya'. A total of 632 ('Tanzania') and 435 ('Bikilamaliya') AFLPs could be ordered in 90 and 80 linkage groups, respectively. Total map lengths were 3655.6 cM and 3011.5 cM, respectively, with an average distance of 5.8 cM between adjacent markers. The genetic linkage analysis was performed in two steps. First a framework map was elaborated from the single dose markers. Interspersed duplex and double-simplex markers were used to detect homologous groups within and corresponding linkage groups among the parental maps. The type of polyploidy (autopolyploidy vs. allopolyploidy) was examined using the ratio of linkage in coupling phase to linkage in repulsion phase and the ratio of non-simplex to simplex markers. Our data support the predominance of polysomic inheritance with some degree of preferential pairing.

Linkage mapping in apomictic and sexual Kentucky bluegrass ( Poa pratensis L.) genotypes using a two way pseudo-testcross strategy based on AFLP and SAMPL markers.

The high versatility of the mode of reproduction and the retention of a pollen recognition system are the factors responsible for the extreme complexity of the genome in Poa pratensis L. Two genetic maps, one of an apomictic and one of a sexual genotype, were constructed using a two-way pseudo-testcross strategy and multiplex PCR-based molecular markers (AFLP and SAMPL). Due to the high ploidy level and the uncertainty of chromosome pairing-behavior at meiosis, only parent-specific single-dose markers (SDMs) that segregated 1:1 in an F(1) mapping population (161 out of 299 SAMPLs, and 70 out of 275 AFLPs) were used for linkage analysis. A total of 41 paternal (33 SAMPLs and 8 AFLPs) and 47 maternal (33 SAMPLs and 14 AFLPs) SDMs, tested to be linked in coupling phase, were mapped to 7+7 linkage groups covering 367 and 338.4 cM, respectively. The comparison between the two marker systems revealed that SAMPL markers were statistically more efficient than AFLP ones in detecting parent-specific SDMs (75% vs 32.4%). There were no significant differences in the percentages of distorted marker alleles detected by the two marker systems (27.8% of SAMPLs vs 21.3% of AFLPs). The pairwise comparison of co-segregational groups for linkage detection between marker loci suggested that at least some of the P. pratensis chromosomes pair preferentially at meiosis-I.