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KEY MESSAGE: ddRAD-seq-based high-density genetic map comprising 2595 loci identified a major and consensus QTL with a linked marker in a 0.8-Mb physical interval for oil content in peanut. Enhancing oil content is an important breeding objective in peanut. High-resolution mapping of quantitative trait loci (QTLs) with linked markers could facilitate marker-assisted selection in breeding for target traits. In the present study, a recombined inbred line population (Xuhua 13 × Zhonghua 6) was used to construct a genetic map based on double-digest restriction-site-associated DNA sequencing (ddRAD-seq). The resulting high-density genetic map contained 2595 loci, and spanned a length of 2465.62 cM, with an average distance of 0.95 cM/locus. Seven QTLs for oil content were identified on five linkage groups, including the major and stable QTL qOCA08.1 on chromosome A08 with 10.14-27.19% phenotypic variation explained. The physical interval of qOCA08.1 was further delimited to a ~ 0.8-Mb genomic region where two genes affecting oil synthesis had been annotated. The marker SNPOCA08 was developed targeting the SNP loci associated with oil content and validated in peanut cultivars with diverse oil contents. The major and stable QTL identified in the present study could be further dissected for gene discovery. Furthermore, the tightly linked marker for oil content would be useful in marker-assisted breeding in peanut.

Key Message: A major grain length QTL on chromosome 5H was fine mapped from 180.5 to 1.7 Mb. Quantitative trait loci (QTLs) mapping has been used extensively in barley to detect QTLs that underlie complex traits such as grain size. In the present study, we utilised 312 double haploid lines derived from a cross between two Australian malting varieties, Vlamingh and Buloke, to dissect the genetic control of a number of grain size characteristics. Digital image analysis was used to measure grain size characteristics including length, width, thickness and plumpness which are important traits influencing barley yield and grain physical quality. Using data from four independent environments and molecular marker genotype data, we identified 23 significant QTLs for these four traits, ten of which were consensus QTLs and identified in two or more environments. A QTL region on chromosome 5H designated qGL5H that was associated with grain size was fine mapped to a 1.7 Mb interval. qGL5H was able to explain 21.6% of phenotypic variation for grain length within the population. This major QTL is an appropriate candidate for further genetic dissection.

Key Message: The tomato gray leaf spot resistance gene Sm was fine-mapped in a 185-kb region through a map-based cloning strategy and genome-wide association study; a candidate gene was proved to be involved in Sm-mediated resistance through transient gene silencing. Gray leaf spot, caused by Stemphylium spp., is a warm weather foliar disease in tomato (Solanum lycopersicum L). Resistance against gray leaf spot is conferred by a single incompletely dominant gene (Sm) located on chromosome 11. This study aimed to map and identify molecular marker tightly linked to the Sm gene for the use of marker-assisted selection in breeding. Using an F 2 population derived from a cross between the resistant line '9706' and the susceptible line 'Heinz 1706', the Sm gene was mapped to a 185-kb interval between two markers, InDel343 and InDel-FT-32 on chromosome 11, which was consistent with the result of a genome-wide association study using 289 diverse accessions. An ORF predicted in this region was proved to be involved in Sm-mediated resistance through transient gene silencing and seems to be a good candidate of the Sm locus. To clone the Sm gene, a bacterial artificial chromosome (BAC) library was screened and one BAC clone B80B15 containing the predicted ORF was identified. The analysis of sequence and structure characteristics demonstrated that the candidate gene was not a typical type resistance gene. Additionally, a co-dominant marker Sm-InDel, which produced a 122-bp or 140-bp fragment for resistant or susceptible alleles, respectively, was developed. This marker was validated in 289 germplasm and could be used in marker-assisted selection for gray leaf spot resistance.

Key Message: Tyramide FISH was used to locate relatively small genomic amplicons from molecular markers linked to Ms locus onto onion chromosome 2 near the centromere, a region of relatively low recombination. Fluorescence in situ hybridization (FISH) has not been readily exploited for physical mapping of molecular markers in plants due to the technical challenge of visualizing small single-copy probes. Signal amplification using tyramide (tyr) FISH can increase sensitivity up to 100-fold. We used tyr-FISH to physically locate molecular markers tightly linked to the nuclear male-fertility (Ms) restoration locus of onion onto mitotic metaphase, pachytene, and super-stretched pachytene chromosomes. Relatively short genomic amplicons (846-2251 bp) and a cDNA clone (666 bp) were visualized in 9-42 % of observed cells. The markers were assigned to proximal locations close to the centromere on the long arm of chromosome 2, a region of lower recombination, revealing that tightly linked markers may be physically distant from Ms. This result explains why several labs have identified molecular markers tightly linked to the Ms locus after screening relatively few DNA clones or primers and segregating progenies. Although these markers are still useful for marker-aided selection, our results indicate that map-based cloning of Ms will likely be difficult due to reduced recombination near this gene.

Key Message: Fine mapping by recombinant backcross populations revealed that a preharvest sprouting QTL on 2B contained two QTLs linked in coupling with different effects on the phenotype. Wheat preharvest sprouting (PHS) occurs when grain germinates on the plant before harvest, resulting in reduced grain quality. Previous mapping of quantitative trait locus (QTL) revealed a major PHS QTL, QPhs.cnl-2B.1, located on chromosome 2B significant in 16 environments that explained from 5 to 31 % of the phenotypic variation. The objective of this project was to fine map the QPhs.cnl-2B.1 interval. Fine mapping was carried out in recombinant backcross populations (BC1F4 and BC1F5) that were developed by backcrossing selected doubled haploids to a recurrent parent and self-pollinating the BC1F4 and BC1F5 generations. In each generation, three markers in the QPhs.cnl-2B.1 interval were used to screen for recombinants. Fine mapping revealed that the QPhs.cnl-2B.1 interval contained two PHS QTLs linked in coupling. The distal PHS QTL, located between Wmc453c and Barc55, contributed 8 % of the phenotypic variation and also co-located with a major seed dormancy QTL determined by germination index. The proximal PHS QTL, between Wmc474 and CNL415-rCDPK, contributed 16 % of the variation. Several candidate genes including Mg-chelatase H subunit family protein, GTP-binding protein and calmodulin/Ca(2+)-dependent protein kinase were linked to the PHS QTL. Although many recombinant lines were identified, the lack of polymorphism for markers in the QTL interval prevented the localization of the recombination breakpoints and identification of the gene underlying the phenotype.

Key Message: We finely map a novel resistance gene ( RpsJS ) to Phytophthora sojae in soybean. RpsJS was mapped in 138.9 kb region, including three NBS-LRR type predicted genes, on chromosome 18. Phytophthora root rot (PRR) caused by Phytophthora sojae (P. sojae) has been reported in most soybean-growing regions throughout the world. Development of PRR resistance varieties is the most economical and environmentally safe method for controlling this disease. Chinese soybean line Nannong 10-1 is resistant to many P. sojae isolates, and shows different reaction types to P. sojae isolates as compared with those with known Rps (Resistance to P. sojae) genes, which suggests that the line may carry novel Rps genes or alleles. A mapping population of 231 F(2) individuals from the cross of Nannong 10-1 (Resistant, R) and 06-070583 (Susceptible, S) was used to map the Rps gene. The segregation fits a ratio of 3R:1S within F(2) plants, indicating that resistance in Nannong 10-1 is controlled by a single dominant gene (designated as RpsJS). The results showed that RpsJS was mapped on soybean chromosome 18 (molecular linkage group G, MLG G) flanked by SSR (simple repeat sequences) markers BARCSOYSSR_18_1859 and SSRG60752K at a distance of 0.9 and 0.4 cm, respectively. Among the 14 genes annotated in this 138.9 kb region between the two markers, three genes (Glyma18g51930, Glyma18g51950 and Glyma18g51960) are the nucleotide-binding site and a leucine-rich repeat (NBS-LRR) type gene, which may be involved in recognizing the presence of pathogens and ultimately conferring resistance. Based on marker-assisted resistance spectrum analyses of RpsJS and the mapping results, we inferred that RpsJS was a novel gene or a new allele at the Rps4, Rps5 or Rps6 loci.

Key Message: This research provided the first view of metabolic and physiological effect of a tissue-specific glaucousness inhibitor in wheat and laid foundation for map-based cloning of the Iw3 locus. Cuticular wax constitutes the outermost layer of plant skin, and its composition greatly impacts plant appearance and plant-environment interaction. Epicuticular wax in the upper part of adult wheat plants can form the glaucousness, which is associated with drought tolerance. In this research, we characterized a glume-specific glaucousness inhibitor, Iw3, by fine mapping, physiological, and molecular approaches. Iw3 inhibits glaucousness formation by altering wax composition. Compared to the wild type, Iw3 eliminated β-diketone, reduced 47 % primary alcohols, but increased aldehyde 400-fold and alkanes fivefold, which led to 30 % reduction of total glume wax load. Loss of the glaucousness increased cuticle permeability, suggesting an important role in drought sensitivity. Genetically, the glaucousness-inhibiting effect by Iw3 is partially dominant in a dosage-dependent manner. We localized the Iw3 locus within a 0.13-cM interval delimited by marker loci Xpsp3000 and XWL3096. Of the 53 wax genes assayed, we detected transcription changes in nine genes by Iw3, downregulation of Cer4-1 and upregulation of other five Cer4 and three KCS homologs. All these results provided initial insights into Iw3-mediated regulation of wax metabolism and paved way for in-depth characterization of the Iw3 locus and the glaucousness-related β-diketone pathway.

Despite the intensive soybean [Glycine max (L.) Merrill] genome studies, the high chromosome number (20) of the soybean plant relative to many other major crops has hindered the development of a high-resolution genomewide genetic map derived from a single population. Here, we report such a map, which was constructed in an F15 population derived from a cross between G. max and G. soja lines using indel polymorphisms detected via a G. soja genome resequencing. By targeting novel indel markers to marker-poor regions, all marker intervals were reduced to under 6 cM on a genome scale. Comparison of the Williams 82 soybean reference genome sequence and our genetic map indicated that marker orders of 26 regions were discrepant with each other. In addition, our comparison showed seven misplaced and two absent markers in the current Williams 82 assembly and six markers placed on the scaffolds that were not incorporated into the pseudomolecules. Then, we showed that, by determining the missing sequences located at the presumed beginning points of the five major discordant segments, these observed discordant regions are mostly errors in the Williams 82 assembly. Distributions of the recombination rates along the chromosomes were similar to those of other organisms. Genotyping of indel markers and genome resequencing of the two parental lines suggested that some marker-poor chromosomal regions may represent introgression regions, which appear to be prevalent in soybean. Given the even and dense distribution of markers, our genetic map can serve as a bridge between genomics research and breeding programs.

We identified quantitative trait loci (QTL) underlying variation for flowering time in a doubled haploid (DH) population of vernalisation-responsive canola (Brassica napus L.) cultivars Skipton and Ag-Spectrum and aligned them with physical map positions of predicted flowering genes from the Brassica rapa genome. Significant genetic variation in flowering time and response to vernalisation were observed among the DH lines from Skipton/Ag-Spectrum. A molecular linkage map was generated comprising 674 simple sequence repeat, sequence-related amplified polymorphism, sequence characterised amplified region, Diversity Array Technology, and candidate gene based markers loci. QTL analysis indicated that flowering time is a complex trait and is controlled by at least 20 loci, localised on ten different chromosomes. These loci each accounted for between 2.4 and 28.6% of the total genotypic variation for first flowering and response to vernalisation. However, identification of consistent QTL was found to be dependant upon growing environments. We compared the locations of QTL with the physical positions of predicted flowering time genes located on the sequenced genome of B. rapa. Some QTL associated with flowering time on A02, A03, A07, and C06 may represent homologues of known flowering time genes in Arabidopsis; VERNALISATION INSENSITIVE 3, APETALA1, CAULIFLOWER, FLOWERING LOCUS C, FLOWERING LOCUS T, CURLY LEAF, SHORT VEGETATIVE PHASE, GA3 OXIDASE, and LEAFY. Identification of the chromosomal location and effect of the genes influencing flowering time may hasten the development of canola varieties having an optimal time for flowering in target environments such as for low rainfall areas, via marker-assisted selection.

The recent technology of the single-nucleotide-polymorphism (SNP) array makes it possible to genotype millions of SNP markers on genome, which in turn requires to develop fast and efficient method for fine-scale quantitative trait loci (QTL) mapping. The single-marker association (SMA) is the simplest method for fine-scale QTL mapping, but it usually shows many false-positive signals and has low QTL-detection power. Compared with SMA, the haplotype-based method of Meuwissen and Goddard who assume QTL effect to be random and estimate variance components (VC) with identity-by-descent (IBD) matrices that inferred from unknown historic population is more powerful for fine-scale QTL mapping; furthermore, their method also tends to show continuous QTL-detection profile to diminish many false-positive signals. However, as we know, the variance component estimation is usually very time consuming and difficult to converge. Thus, an extremely fast EMF (Expectation-Maximization algorithm under Fixed effect model) is proposed in this research, which assumes a biallelic QTL and uses an expectation-maximization (EM) algorithm to solve model effects. The results of simulation experiments showed that (1) EMF was computationally much faster than VC method; (2) EMF and VC performed similarly in QTL detection power and parameter estimations, and both outperformed the paired-marker analysis and SMA. However, the power of EMF would be lower than that of VC if the QTL was multiallelic.

Three linkage maps of flax (Linum usitatissimum L.) were constructed from populations CDC Bethune/Macbeth, E1747/Viking and SP2047/UGG5-5 containing between 385 and 469 mapped markers each. The first consensus map of flax was constructed incorporating 770 markers based on 371 shared markers including 114 that were shared by all three populations and 257 shared between any two populations. The 15 linkage group map corresponds to the haploid number of chromosomes of this species. The marker order of the consensus map was largely collinear in all three individual maps but a few local inversions and marker rearrangements spanning short intervals were observed. Segregation distortion was present in all linkage groups which contained 1-52 markers displaying non-Mendelian segregation. The total length of the consensus genetic map is 1,551 cM with a mean marker density of 2.0 cM. A total of 670 markers were anchored to 204 of the 416 fingerprinted contigs of the physical map corresponding to ~274 Mb or 74 % of the estimated flax genome size of 370 Mb. This high resolution consensus map will be a resource for comparative genomics, genome organization, evolution studies and anchoring of the whole genome shotgun sequence.

Nuclear genomes of human, animals, and plants are organized into subunits called chromosomes. When isolated into aqueous suspension, mitotic chromosomes can be classified using flow cytometry according to light scatter and fluorescence parameters. Chromosomes of interest can be purified by flow sorting if they can be resolved from other chromosomes in a karyotype. The analysis and sorting are carried out at rates of 10(2)-10(4) chromosomes per second, and for complex genomes such as wheat the flow sorting technology has been ground-breaking in reducing genome complexity for genome sequencing. The high sample rate provides an attractive approach for karyotype analysis (flow karyotyping) and the purification of chromosomes in large numbers. In characterizing the chromosome complement of an organism, the high number that can be studied using flow cytometry allows for a statistically accurate analysis. Chromosome sorting plays a particularly important role in the analysis of nuclear genome structure and the analysis of particular and aberrant chromosomes. Other attractive but not well-explored features include the analysis of chromosomal proteins, chromosome ultrastructure, and high-resolution mapping using FISH. Recent results demonstrate that chromosome flow sorting can be coupled seamlessly with DNA array and next-generation sequencing technologies for high-throughput analyses. The main advantages are targeting the analysis to a genome region of interest and a significant reduction in sample complexity. As flow sorters can also sort single copies of chromosomes, shotgun sequencing DNA amplified from them enables the production of haplotype-resolved genome sequences. This review explains the principles of flow cytometric chromosome analysis and sorting (flow cytogenetics), discusses the major uses of this technology in genome analysis, and outlines future directions.

The Polima (pol) system of cytoplasmic male sterility (CMS) in rapeseed is widely used in China for commercial hybrid seed production. Genetic studies have shown that its fertility restorer gene (Rfp) is monogenic dominant. For fine mapping of the Rfp gene, a near isogenic line comprising 3,662 individuals of BC(14)F(1) generation segregating for the Rfp gene was created. Based on the sequences of two SCAR markers, SCAP0612ST and SCAP0612EM2, developed by Zhao et al. (Genes Genom 30(3):191-196, 2008) and the synteny region of Brassica napus and other Brassica species, 13 markers strongly linked with the Rfp gene were identified. By integrating three of these markers to the published linkage map, the Rfp gene was mapped on linkage group N9 of B. napus. Using these markers, the Rfp locus was narrowed down to a 29.2-kb genomic region of Brassica rapa. Seven open reading frames (ORFs) were predicted in the target region, of these, ORF2, encoding a PPR protein, was the most likely candidate gene of Rfp. These results lay a solid foundation for map-based cloning of the Rfp gene and will be helpful for marker-assisted selection of elite CMS restorer lines.

Tomato (Solanum lycopersicum) is an important crop in the Solanaceae family. One of the key traits selected during domestication is fruit mass which is controlled by many quantitative trait loci. The fruit weight locus fw3.2 is one of the major loci responsible for fruit mass in tomato. Identification of the underlying gene will improve our understanding of the molecular mechanism of fruit development while also providing insights into genes that were selected during domestication. We fine mapped fw3.2 to a 51.4-kb interval corresponding to a region comprising seven candidate genes. Gene action showed that the allele from cultivated tomato was additive to dominant in giving rise to an enlarged fruit. Fruit shape analysis indicated that fw3.2 primarily played a role in controlling fruit weight, with a minor effect on fruit shape. Gene expression and nucleotide diversity were investigated and the likelihood of the genes control fruit mass is discussed.

Fine-mapping studies on four QTLs, qDTY(2.1), qDTY(2.2), qDTY(9.1) and qDTY(12.1), for grain yield (GY) under drought were conducted using four different backcross-derived populations screened in 16 experiments from 2006 to 2010. Composite and bayesian interval mapping analyses resolved the originally identified qDTY(2.1) region of 42.3 cM into a segment of 1.6 cM, the qDTY(2.2) region of 31.0 cM into a segment of 6.7 cM, the qDTY(9.1) region of 32.1 cM into two segments of 9.4 and 2.4 cM and the qDTY(12.1) region of 10.6 cM into two segments of 3.1 and 0.4 cM. Two of the four QTLs (qDTY(9.1) and qDTY(12.1)) having effects under varying degrees of stress severity showed the presence of more than one region within the original QTL. The study found the presence of a donor allele at RM262 within qDTY(2.1) and RM24334 within qDTY(9.1) showing a negative effect on GY under drought, indicating the necessity of precise fine mapping of QTL regions before using them in marker-assisted selection (MAS). However, the presence of sub-QTLs together in close vicinity to each other provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS.

Leaf size is a major determinant of plant architecture and yield potential in crops. A previous study showed that the genomic region of chromosome 1 contains a major quantitative trait locus (QTL) for flag leaf size in a set of backcross recombinant inbred lines derived from two elite parental lines (Zhenshan 97 and 93-11). In the present study, the QTL (qFL1) was shown to explain a large proportion of the variation in flag leaf size (leaf length, width and area) in derived populations (BC(2)F(3) and BC(3)F(2)) in multiple environments. Using a large segregating population, we narrowed the location of qFL1 to a 31 kb region containing four predicted genes. Expression of one of these genes, OsFTL1, differed between leaves in near-isogenic lines carrying alleles of Zhenshan 97 and 93-11. qFL1 had a pleiotropic effect on flag leaf size and yield-related traits. Conditional QTL analysis of the derived population (BC(3)F(2)) supports the assertion that qFL1 is the QTL for flag leaf length and exhibits pleiotropy. Pyramiding of qFL1 with two known genes (GS3 and Wx) from 93-11 into Zhenshan 97 enlarged flag leaves, improved grain size and amylose content, and increased yield per plant, but slightly delayed heading date. These results provide a foundation for the functional characterization of the gene underlying the pleiotropic effects of qFL1 and for genetic improvement of the plant architecture and yield potential of rice.

Soybean BAC-based physical maps provide a useful platform for gene and QTL map-based cloning, EST mapping, marker development, genome sequencing, and comparative genomic research. Soybean physical maps for "Forrest" and "Williams 82" representing the southern and northern US soybean germplasm base, respectively, have been constructed with different fingerprinting methods. These physical maps are complementary for coverage of gaps on the 20 soybean linkage groups. More than 5,000 genetic markers have been anchored onto the Williams 82 physical map, but only a limited number of markers have been anchored to the Forrest physical map. A mapping population of Forrest × Williams 82 made up of 1,025 F(8) recombinant inbred lines (RILs) was used to construct a reference genetic map. A framework map with almost 1,000 genetic markers was constructed using a core set of these RILs. The core set of the population was evaluated with the theoretical population using equality, symmetry and representativeness tests. A high-resolution genetic map will allow integration and utilization of the physical maps to target QTL regions of interest, and to place a larger number of markers into a map in a more efficient way using a core set of RILs.

Scab, caused by Cladosporium cucumerinum, is an important disease of cucumber, Cucumis sativus. In this study, we conducted fine genetic mapping of the single dominant scab resistance gene, Ccu, with 148 F(9) recombinant inbred lines (RILs) and 1,944 F(2) plants derived from the resistant cucumber inbred line 9110Gt and the susceptible line 9930, whose draft genome sequence is now available. A framework linkage map was first constructed with simple sequence repeat markers placing Ccu into the terminal 670 kb region of cucumber Chromosome 2. The 9110Gt genome was sequenced at 5× genome coverage with the Solexa next-generation sequencing technology. Sequence analysis of the assembled 9110Gt contigs and the Ccu region of the 9930 genome identified three insertion/deletion (Indel) markers, Indel01, Indel02, and Indel03 that were closely linked with the Ccu locus. On the high-resolution map developed with the F(2) population, the two closest flanking markers, Indel01 and Indel02, were 0.14 and 0.15 cM away from the target gene Ccu, respectively, and the physical distance between the two markers was approximately 140 kb. Detailed annotation of the 180 kb region harboring the Ccu locus identified a cluster of six resistance gene analogs (RGAs) that belong to the nucleotide binding site (NBS) type R genes. Four RGAs were in the region delimited by markers Indel01 and Indel02, and thus were possible candidates of Ccu. Comparative DNA analysis of this cucumber Ccu gene region with a melon (C. melo) bacterial artificial chromosome (BAC) clone revealed a high degree of micro-synteny and conservation of the RGA tandem repeats in this region.

Soybean mosaic virus (SMV) in soybean [Glycine max (L.) Merr.] is a destructive foliar disease in soybean-producing countries worldwide. In this study, F(2), F(2:3), and F(7:11) recombinant inbred lines populations derived from Kefeng No.1 × Nannong 1138-2 were used to study inheritance and linkage mapping of the SMV strain SC8 resistance gene in Kefeng No.1. Results indicated that a single dominant gene (designated R(SC8)) controls resistance, which is located on chromosome 2 (MLG D1b). A mixed segregating population was developed by selfing two heterozygous plants (RHL153-1 and RHL153-2) at four markers adjacent to the locus and used in fine mapping R(SC8). In addition, two genomic-simple sequence repeats (SSR) markers BARCSOYSSR_02_0610 and BARCSOYSSR_02_0616 were identified that flank the two sides of R(SC8). Sequence analysis of the soybean genome indicated that the interval between the two genomic-SSR markers is 200 kb. QRT-PCR analysis of the candidate genes determined that five genes (Glyma02g13310, 13320, 13400, 13460, and 13470) are likely involved in soybean SMV resistance. These results will have utility in cloning, transferring, and pyramiding of the R(SC8) through marker-assisted selection in soybean breeding programs.

The identification and utilization of a high-level of host plant resistance is the most effective and economical approach to control root-knot nematode (Meloidogyne incognita). In an earlier study, we identified a major quantitative trait locus (QTL) for resistance to root-knot nematode in the M-120 RNR Upland cotton line (Gossypium hirsutum L.) of the Auburn 623 RNR source. The QTL is located in a 12.9-cM interval flanked by the two SSR markers CIR069 and CIR316 on the distal segment of chromosome 11. To construct a fine map around the target region, a bulked segregation analysis was performed using two DNA pools consisting of five individuals, with each being homozygous for the two parental alleles. From a survey of 1,152 AFLP primer combinations, 9 AFLP markers closely linked to the target region were identified. By screening an additional 1,221 F(2) individuals developed from the initial mapping population, the Mi-C11 locus was delimited to a 3.6-cM interval flanked by the SSR marker CIR069 and the AFLP marker E14M27-375. These results further elucidate the genetic fine structure of the Mi-C11 locus and provide the basis for map-based isolation of the nematode resistance gene in M-120 RNR.

Brown planthopper (Nilaparvata lugens Stål, BPH) is one of the most destructive insect pests of rice. Exploring resistance genes from diverse germplasms and incorporating them into cultivated varieties are critical for controlling this insect. The rice variety Swarnalata was reported to carry a resistance gene (designated Bph6), which has not yet been assigned to a chromosome location and the resistance mechanism is still unknown. In this study, we identified and mapped this gene using the F(2) and backcrossing populations and characterized its resistance in indica 9311 and japonica Nipponbare using near isogenic lines (NILs). In analysis of 9311/Swarnalata F(2) population, the Bph6 gene was located on the long arm of chromosome 4 between the SSR markers RM6997 and RM5742. The gene was further mapped precisely to a 25-kb region delimited between the STS markers Y19 and Y9; and the distance between these markers is 25-kb in Nipponbare genome. The Bph6 explained 77.5% of the phenotypic variance of BPH resistance in F(2) population and 84.9% in BC(2)F(2) population. Allele from Swarnalata significantly increased resistance to the BPH, resulted in a reduced damage score. In characterization of Bph6-mediated resistance, the BPH insects showed significant preference between NIL-9311 and 9311 in 3 h and between NIL-NIP and Nipponbare in 120 h after release. BPH growth and development were inhibited, and the insect's survival rates were lower on Bph6-NIL plants, compared with the parents 9311 and Nipponbare. The results indicate that the Bph6 exerted prolonged antixenotic and antibiotic effects in Bph6-NIL plants, and NIL-9311 plants showed a quicker and stronger effect toward BPH than NIL-NIP plants.

Downy mildew, caused by Plasmopara halstedii, is one of the most destructive diseases in cultivated sunflower (Helianthus annuus L.). The dominant resistance locus Pl(ARG) originates from silverleaf sunflower (H. argophyllus Torrey and Gray) and confers resistance to all known races of P. halstedii. We mapped Pl(ARG) on linkage group (LG) 1 of (cms)HA342 × ARG1575-2, a population consisting of 2,145 F(2) individuals. Further, we identified resistance gene candidates (RGCs) that cosegregated with Pl(ARG) as well as closely linked flanking markers. Markers from the target region were mapped with higher resolution in NDBLOS(sel) × KWS04, a population consisting of 2,780 F(2) individuals that does not segregate for Pl(ARG). A large-insert sunflower bacterial artificial chromosome (BAC) library was screened with overgo probes designed for markers RGC52 and RGC151, which cosegregated with Pl(ARG). Two RGC-containing BAC contigs were anchored to the Pl(ARG) region on LG 1.

The A1 cytoplasmic-nuclear male sterility system in sorghum is used almost exclusively for the production of commercial hybrid seed and thus, the dominant genes that restore male fertility in F(1) hybrids are of critical importance to commercial seed production. The genetics of fertility restoration in sorghum can appear complex, being controlled by at least two major genes with additional modifiers and additional gene-environment interaction. To elucidate the molecular processes controlling fertility restoration and to develop a marker screening system for this important trait, two sorghum recombinant inbred line populations were created by crossing a restorer and a non-restoring inbred line, with fertility phenotypes evaluated in hybrid combination with three unique cytoplasmic male sterile lines. In both populations, a single major gene segregated for restoration which was localized to chromosome SBI-02 at approximately 0.5 cM from microsatellite marker, Xtxp304. In the two populations we observed that approximately 85 and 87% of the phenotypic variation in seed set was associated with the major Rf gene on SBI-02. Some evidence for modifier genes was also observed since a continuum of partial restored fertility was exhibited by lines in both RIL populations. With the prior report (Klein et al. in Theor Appl Genet 111:994-1012, 2005) of the cloning of the major fertility restoration gene Rf1 in sorghum, the major fertility restorer locus identified in this study was designated Rf2. A fine-mapping population was used to resolve the Rf2 locus to a 236,219-bp region of chromosome SBI-02, which spanned ~31 predicted open reading frames including a pentatricopeptide repeat (PPR) gene family member. The PPR gene displayed high homology with rice Rf1. Progress towards the development of a marker-assisted screen for fertility restoration is discussed.

Marker-assisted breeding is a very useful tool for breeders but still lags behind its potential because information on the effect of quantitative trait loci (QTLs) in different genetic backgrounds and ideal molecular markers are unavailable. Here, we report on some first steps toward the validation and application of the major rice QTL Phosphate uptake 1 (Pup1) that confers tolerance of phosphorus (P) deficiency in rice (Oryza sativa L.). Based on the Pup1 genomic sequence of the tolerant donor variety Kasalath that recently became available, markers were designed that target (1) putative genes that are partially conserved in the Nipponbare reference genome and (2) Kasalath-specific genes that are located in a large insertion-deletion (INDEL) region that is absent in Nipponbare. Testing these markers in 159 diverse rice accessions confirmed their diagnostic value across genotypes and showed that Pup1 is present in more than 50% of rice accessions adapted to stress-prone environments, whereas it was detected in only about 10% of the analyzed irrigated/lowland varieties. Furthermore, the Pup1 locus was detected in more than 80% of the analyzed drought-tolerant rice breeding lines, suggesting that breeders are unknowingly selecting for Pup1. A hydroponics experiment revealed genotypic differences in the response to P deficiency between upland and irrigated varieties but confirmed that root elongation is independent of Pup1. Contrasting Pup1 near-isogenic lines (NILs) were subsequently grown in two different P-deficient soils and environments. Under the applied aerobic growth conditions, NILs with the Pup1 locus maintained significantly higher grain weight plant(-1) under P deprivation in comparison with intolerant sister lines without Pup1. Overall, the data provide evidence that Pup1 has the potential to improve yield in P-deficient and/or drought-prone environments and in diverse genetic backgrounds.

Trichomes are present on nearly all land plants and protect plants against insect herbivores, drought and UV radiation. The trichome-bearing phenotype is conferred by the dominant allele of the pepper trichome locus 1 (Ptl1) in Capsicum annuum, Mexican 'Criollo de Morelos-334' (CM334). A genetic analysis using simple sequence repeats from pepper cDNA identified the HpmsE031 marker as tightly linked to Ptl1 in 653 individuals of an F(2) population derived from a cross between CM334 and Chilsungcho varieties. A bacterial artificial chromosome (BAC) library from CM334 covering 12x of the genome was screened using the HpmsE031 SSR marker as a probe and three BAC clones were identified. The Ptl1 region was covered by one 80 kb BAC clone, TT1B7. Fluorescence in situ hybridization (FISH) confirmed that TT1B7 localized to pepper chromosome 10. One co-dominant marker, Tco, and one dominant marker, Tsca, were successfully developed from the TT1B7 BAC sequence. Tco mapped 0.33 cM up from Ptl1 and Tsca mapped 0.75 cM down from Ptl1. Analysis of the BAC sequence predicts the presence of 14 open reading frames including 60S ribosomal protein L21-like protein (Solanum demissum), protein kinase 2 (Nicotiana tabacum), hypothetical proteins, and unnamed protein products. These results will provide not only useful information for map-based cloning of Ptl1 in Capsicum but also the starting points for analysis of R-gene cluster inked with Ptl1.

To facilitate the creation of easily comparable, low-resolution genetic maps with evenly distributed markers in rice (Oryza sativa L.), we conceived of and developed a Universal Core Genetic Map (UCGM). With this aim, we derived a set of 165 anchors, representing clusters of three microsatellite or simple sequence repeat (SSR) markers arranged into non-recombining groups. Each anchor consists of at least three, closely linked SSRs, located within a distance below the genetic resolution provided by common, segregating populations (<500 individuals). We chose anchors that were evenly distributed across the rice chromosomes, with spacing between 2 and 3.5 Mbp (except in the telomeric regions, where spacing was 1.5 Mbp). Anchor selection was performed using in silico tools and data: the O. sativa cv. Nipponbare rice genome sequence, the CHARM tool, information from the Gramene database and the OrygenesDB database. Sixteen AA-genome accessions of the Oryza genus were used to evaluate polymorphisms for the selected markers, including accessions from O. sativa, O. glaberrima, O. barthii, O. rufipogon, O. glumaepatula and O. meridionalis. High levels of polymorphism were found for the tested O. sativa x O. glaberrima or O. sativa x wild rice combinations. We developed Paddy Map, a simple database that is helpful in selecting optimal sets of polymorphic SSRs for any cross that involves the previously mentioned species. Validation of the UCGM was done by using it to develop three interspecific genetic maps and by comparing genetic SSR locations with their physical positions on the rice pseudomolecules. In this study, we demonstrate that the UCGM is a useful tool for the rice genetics and breeding community, especially in strategies based on interspecific hybridisation.

In quantitative trait locus (QTL) mapping studies, it is mandatory that the available financial resources are spent in such a way that the power for detection of QTL is maximized. The objective of this study was to optimize for three different fixed budgets the power of QTL detection 1 - beta* in recombinant inbred line (RIL) populations derived from a nested design by varying (1) the genetic complexity of the trait, (2) the costs for developing, genotyping, and phenotyping RILs, (3) the total number of RILs, and (4) the number of environments and replications per environment used for phenotyping. Our computer simulations were based on empirical data of 653 single nucleotide polymorphism markers of 26 diverse maize inbred lines which were selected on the basis of 100 simple sequence repeat markers out of a worldwide sample of 260 maize inbreds to capture the maximum genetic diversity. For the standard scenario of costs, the optimum number of test environments (E (opt)) ranged across the examined total budgets from 7 to 19 in the scenarios with 25 QTL. In comparison, the E (opt) values observed for the scenarios with 50 and 100 QTL were slightly higher. Our finding of differences in 1 - beta* estimates between experiments with optimally and sub-optimally allocated resources illustrated the potential to improve the power for QTL detection without increasing the total resources necessary for a QTL mapping experiment. Furthermore, the results of our study indicated that also in studies using the latest genomics tools to dissect quantitative traits, it is required to evaluate the individuals of the mapping population in a high number of environments with a high number of replications per environment.

Molecular markers linked to phenotypically important traits are of great interest especially when traits are difficult and/or costly to be observed. In tomato where a strong focus on resistance breeding has led to the introgression of several resistance genes, resistance traits have become important characteristics in distinctness, uniformity and stability (DUS) testing for Plant Breeders Rights (PBR) applications. Evaluation of disease traits in biological assays is not always straightforward because assays are often influenced by environmental factors, and difficulties in scoring exist. In this study, we describe the development and/or evaluation of molecular marker assays for the Verticillium genes Ve1 and Ve2, the tomato mosaic virus Tm1 (linked marker), the tomato mosaic virus Tm2 and Tm2 ( 2 ) genes, the Meloidogyne incognita Mi1-2 gene, the Fusarium I (linked marker) and I2 loci, which are obligatory traits in PBR testing. The marker assays were evaluated for their robustness in a ring test and then evaluated in a set of varieties. Although in general, results between biological assays and marker assays gave highly correlated results, marker assays showed an advantage over biological tests in that the results were clearer, i.e., homozygote/heterozygote presence of the resistance gene can be detected and heterogeneity in seed lots can be identified readily. Within the UPOV framework for granting of PBR, the markers have the potential to fulfil the requirements needed for implementation in DUS testing of candidate varieties and could complement or may be an alternative to the pathogenesis tests that are carried out at present.

Rye is a diploid crop species with many outstanding qualities, and is important as a source of new traits for wheat and triticale improvement. Rye is highly tolerant of aluminum (Al) toxicity, and possesses a complex structure at the Alt4 Al tolerance locus not found at the corresponding locus in wheat. Here we describe a BAC library of rye cv. Blanco, representing a valuable resource for rye molecular genetic studies, and assess the library's suitability for investigating Al tolerance genes. The library provides 6 x genome coverage of the 8.1 Gb rye genome, has an average insert size of 131 kb, and contains only ~2% of empty or organelle-derived clones. Genetic analysis attributed the Al tolerance of Blanco to the Alt4 locus on the short arm of chromosome 7R, and revealed the presence of multiple allelic variants (haplotypes) of the Alt4 locus in the BAC library. BAC clones containing ALMT1 gene clusters from several Alt4 haplotypes were identified, and will provide useful starting points for exploring the basis for the structural variability and functional specialization of ALMT1 genes at this locus.

A high-resolution physical map targeting a cluster of yield-related QTLs on the long arm of rice chromosome 9 has been constructed across a 37.4 kb region containing seven predicted genes. Using a series of BC3F4 nearly isogenic lines (NILs) derived from a cross between the Korean japonica cultivar Hwaseongbyeo and Oryza rufipogon (IRGC 105491), a total of seven QTLs for 1,000-grain weight, spikelets per panicle, grains per panicle, panicle length, spikelet density, heading date and plant height were identified in the cluster (P

Changes in plant architecture have been central to the domestication of wild species. Tillering or the degree of branching determines shoot architecture and is a key component of grain yield and/or biomass. Previously, a tiller inhibition mutant with monoculm phenotype was isolated and the mutant gene (tin3) was mapped in the distal region of chromosome arm 3AmL of Triticum monococcum. As a first step towards isolating a candidate gene for tin3, the gene was mapped in relation to physically mapped expressed sequence tags (ESTs) and sequence tag site (STS) markers developed based on synteny with rice. In addition, we investigated the relationship of the wheat region containing tin3 with the corresponding region in rice by comparative genomic analysis. Wheat ESTs that had been previously mapped to deletion bins provided a useful framework to identify closely related rice sequences and to establish the most likely syntenous region in rice for the wheat tin3 region. The tin3 gene was mapped to a 324-kb region spanned by two overlapping bacterial artificial chromosomes (BACs) of rice chromosome arm 1L. Wheat-rice synteny was exceptionally high at the tin3 region despite being located in the high-recombination, gene-rich region of wheat. Identification of tightly linked flanking EST and STS markers to the tin3 gene and its localization to highly syntenic rice BACs will assist in the future development of a high-resolution map and map-based cloning of the tin3 gene.

We report the fine mapping of the previously described quantitative trait loci (QTL) for grain weight QTgw.ipk-7D associated with microsatellite marker Xgwm1002-7D by using introgression lines (ILs) carrying introgressions of the synthetic wheat W-7984 in the genetic background of the German winter wheat variety 'Prinz'. The BC(4)F(3) ILs had a 10% increased thousand grain weight compared to the control group and the recurrent parent 'Prinz', and 84.7% of the phenotypic variance could be explained by the segregation of marker Xgwm1002-7D, suggesting the presence of a gene modulating grain weight, which was preliminarily designated gw1. It was possible to delimit the QTL QTgw.ipk-7D to the interval Xgwm295-Xgwm1002, which is located in the most telomeric bin 7DS4-0.61-1.00 in the physical map of wheat chromosome arm 7DS. Furthermore, our data suggest the presence of a novel plant height-reducing locus Rht on chromosome arm 7DS of 'Prinz'. Larger grain and increased plant height may reflect the pleiotropic action of one gene or may be caused by two linked genes. In general, our data support the concept of using nearly isogenic ILs for validating and dissecting QTLs into single Mendelian genes and open the gateway for map-based cloning of a grain-weight QTL in wheat.

Fluorescence in situ hybridization (FISH), using bacterial artificial chromosome (BAC) clone as probe, is a reliable cytological technique for chromosome identification. It has been used in many plants, especially in those containing numerous small chromosomes. We previously developed eight chromosome-specific BAC clones from tetraploid cotton, which were used as excellent cytological markers for chromosomes identification. Here, we isolated the other chromosome-specific BAC clones to make a complete set for the identification of all 26 chromosome-pairs by this technology in tetraploid cotton (Gossypium hirsutum L.). This set of BAC markers was demonstrated to be useful to assign each chromosome to a genetic linkage group unambiguously. In addition, these BAC clones also served as convenient and reliable landmarks for establishing physical linkage with unknown targeted sequences. Moreover, one BAC containing an EST, with high sequence similarity to a G. hirsutum ethylene-responsive element-binding factor was located physically on the long arm of chromosome A7 with the help of a chromosome-A7-specific BAC FISH marker. Comparative analysis of physical marker positions in the chromosomes by BAC-FISH and genetic linkage maps demonstrated that most of the 26 BAC clones were localized close to or at the ends of their respective chromosomes, and indicated that the recombination active regions of cotton chromosomes are primarily located in the distal regions. This technology also enables us to make associations between chromosomes and their genetic linkage groups and re-assign each chromosome according to the corresponding genetic linkage group. This BAC clones and BAC-FISH technology will be useful for us to evaluate grossly the degree to which a linkage map provides adequate coverage for developing a saturated genetic map, and provides a powerful resource for cotton genomic researches.

One way to use a crop germplasm collection directly to map QTLs without using line-crossing experiments is the whole genome association mapping. A major problem with association mapping is the presence of population structure, which can lead to both false positives and failure to detect genuine associations (i.e., false negatives). Particularly in highly selfing species such as Asian cultivated rice, high levels of population structure are expected and therefore the efficiency of association mapping remains almost unknown. Here, we propose an approach that combines a Bayesian method for mapping multiple QTLs with a regression method that directly incorporates estimates of population structure. That is, the effects due to both multiple QTLs and population structure were included in our statistical model. We evaluated the efficiency of our approach in simulated- and real-trait analyses of a rice germplasm collection. Simulation analyses based on real marker data showed that our model could suppress both false-positive and false-negative rates and the error of estimation of genetic effects over single QTL models, indicating that our model has statistically desirable attributes over single QTL models. As real traits, we analyzed the size and shape of milled rice grains and found significant markers that may be linked to QTLs reported previously. Association mapping should have good prospects in highly selfing species such as rice if proper methods are adopted. Our approach will be useful for the whole genome association mapping of various selfing crop species.

Despite a substantial investment in the development of panels of single nucleotide polymorphism (SNP) markers, the simple sequence repeat (SSR) technology with a limited multiplexing capability remains a standard, even for applications requiring whole-genome information. Diversity arrays technology (DArT) types hundreds to thousands of genomic loci in parallel, as previously demonstrated in a number diploid plant species. Here we show that DArT performs similarly well for the hexaploid genome of bread wheat (Triticum aestivum L.). The methodology previously used to generate DArT fingerprints of barley also generated a large number of high-quality markers in wheat (99.8% allele-calling concordance and approximately 95% call rate). The genetic relationships among bread wheat cultivars revealed by DArT coincided with knowledge generated with other methods, and even closely related cultivars could be distinguished. To verify the Mendelian behaviour of DArT markers, we typed a set of 90 Cranbrook x Halberd doubled haploid lines for which a framework (FW) map comprising a total of 339 SSR, restriction fragment length polymorphism (RFLP) and amplified fragment length polymorphism (AFLP) markers was available. We added an equal number of DArT markers to this data set and also incorporated 71 sequence tagged microsatellite (STM) markers. A comparison of logarithm of the odds (LOD) scores, call rates and the degree of genome coverage indicated that the quality and information content of the DArT data set was comparable to that of the combined SSR/RFLP/AFLP data set of the FW map.

In order to understand the evolutionary aspects of the chloroplast DNA (cpDNA) structures in Rosaceous plants, a physical map of peach (Prunus persica cv. Hakuhou) cpDNA was constructed. Fourteen lambda phage clones which covered the entire sequence of the peach cpDNA were digested by restriction enzymes (SalI, XhoI, BamHI, SacI, and PstI) used singly or in combination. The molecular size of peach cpDNA was estimated to be about 152 kb. The gene order and contents were revealed to be equivalent to those of standard type of angiosperms by the localization of 31 genes on the physical map. Eighteen accessions from 14 Prunus species (P. persica, P. mira, P. davidiana, P. cerasis, P. cerasifera, P. domestica, P. insititia, P. spinosa, P. salicina, P. maritima, P. armeniaca, P. mume, P. tomentosa, P. zippeliana, and P. salicifolia) and one interspecific hybrid were used for the structural analysis of cpDNAs. Seventeen mutations (16 recognition site changes and one length mutation) were found in the cpDNA of these 18 accessions by RFLP analysis allowing a classification into 11 genome types. Although the base substitution rate in the recognition site (100p = 0.72) of cpDNA in Prunus was similar to that of other plants, i.e., Triticum-Aegilops, Brassica, and Pisum, it differed from Pyrus (100p = 0.15) in Rosaceae. Seven mutations including one length mutation were densely located within a region of about 9.1 kb which includes psbA and atpA in the left border of a large single-copy region of Prunus cpDNAs. The length mutation was detected only in P. persica and consisted of a 277 bp deletion which occurred in a spacer region between the trnS and trnG genes within the 9.1 kb region. Additional fragment length mutations (insertion/deletion), which were not detected by RFLP analysis, were revealed by PCR and sequence analyses in P. zippeliana and P. salicifolia. All of these length mutations occurred within the 9.1 kb region between psbA and atpA. This region could be an intra-molecular recombinational hotspot in Prunus species.

We have constructed and validated the first cocoa ( Theobroma cacao L.) BAC library, with the aim of developing molecular resources to study the structure and evolution of the genome of this perennial crop. This library contains 36,864 clones with an average insert size of 120 kb, representing approximately ten haploid genome equivalents. It was constructed from the genotype Scavina-6 (Sca-6), a Forastero clone highly resistant to cocoa pathogens and a parent of existing mapping populations. Validation of the BAC library was carried out with a set of 13 genetically-anchored single copy and one duplicated markers. An average of nine BAC clones per probe was identified, giving an initial experimental estimation of the genome coverage represented in the library. Screening of the library with a set of resistance gene analogues (RGAs), previously mapped in cocoa and co-localizing with QTL for resistance to Phytophthora traits, confirmed at the physical level the tight clustering of RGAs in the cocoa genome and provided the first insights into the relationships between genetic and physical distances in the cocoa genome. This library represents an available BAC resource for structural genomic studies or map-based cloning of genes corresponding to important QTLs for agronomic traits such as resistance genes to major cocoa pathogens like Phytophthora spp ( palmivora and megakarya), Crinipellis perniciosa and Moniliophthora roreri.

Because of polyploidy and large genome size, deletion stocks of bread wheat are an ideal material for physically allocating ESTs and genes to small chromosomal regions for targeted mapping. To enhance the utility of deletion stocks for chromosome bin mapping, we characterized a set of 84 deletion lines covering the 21 chromosomes of wheat using 725 microsatellites. We localized these microsatellite loci to 94 breakpoints in a homozygous state (88 distal deletions, 6 interstitial), and 5 in a heterozygous state representing 159 deletion bins. Chromosomes from homoeologous groups 2 and 5 were the best covered (126 and 125 microsatellites, respectively) while the coverage for group 4 was lower (80 microsatellites). We assigned at least one microsatellite in up to 92% of the bins (mean 4.97 SSR/bin). Only a few discrepancies concerning marker order were observed. The cytogenetic maps revealed small genetic distances over large physical regions around the centromeres and large genetic to physical map ratios close to the telomeres. As SSRs are the markers of choice for many genetic and breeding studies, the mapped microsatellite loci will be useful not only for deletion stock verifications but also for allocating associated QTLs to deletion bins where numerous ESTs that could be potential candidate genes are currently assigned.

A linkage map of rye, previously developed using DS2 x RXL10 F2 mapping population, was enriched with 179 AFLP and 19 RAPD marker loci. The current map covers 1386 cM and contains 480 markers including 200 RFLPs, 179 AFLPs, 88 RAPDs, 12 protein loci and one dwarfing gene. AFLPs generated by EcoRI/MseI primer combinations were distributed over the entire genome as distinct loci or clusters of 2-14 tightly linked DNA fragments. New marker loci mapped distally to the existing framework, significantly increased coverage of chromosomes 1R, 2R and 5R. The average marker distance is now 2.9 cM, but in seven regions the closest markers are still more than 20 cM apart. A detailed description of the newly mapped AFLP and RAPD loci is presented. The relationship with other published rye maps is discussed.