Identification of eight chromosomes and a microsatellite marker on 1AS associated with QTL for grain weight in bread wheat

The present study in bread wheat was undertaken, firstly, to identify chromosomes carrying QTLs controlling 1000 grain weight (GW) and, secondly, to develop molecular marker(s) linked with this trait. Using the genotype Rye Selection111 (RS111), we carried out a monosomic analysis that suggested that 8 chromosomes (1A, 1D, 2B, 4B, 5B, 6B, 7A and 7D) carried QTLs controlling GW, with only 3 of these (1A, 2B, 7A) carrying alleles for high GW. To tag the QTLs present on these chromosomes, we crossed the genotype RS111 with high GW (56.83 g) with the genotype Chinese Spring (CS) with low GW (23.74 g) and obtained 100 RILs. These RILs showed normal distribution for GW. The parental genotypes were analysed with as many as 346 STMS primer pairs for detection of polymorphism. Of these, 267 primer pairs gave scorable amplification products, 63 of which detected polymorphism between the parents. Using each of these 63 primer pairs, we carried out bulked segregant analysis on RILs representing two extremes of the distribution. One primer pair (WMC333) showed an association of the marker locus Xwmc333 with grain weight. This was confirmed through selective genotyping, and the co-segregation data on molecular marker locus Xwmc333 and GW were analysed following a single marker linear regression approach. Significant regression suggested linkage between Xwmc333 and a QTL for GW. The results showed that the above QTL accounted for 15.09% of the variation for GW between the parents. The marker has been located on chromosome arm 1AS, and QTL was designated QGw1.ccsu-1A. Received: 15 September 1999 / Accepted: 9 November 1999     

Identification of a microsatellite on chromosomes 6B and a STS on 7D of bread wheat showing an association with preharvest sprouting tolerance

 In bread wheat, the transfer of tolerance to preharvest sprouting (PHS) that is associated with genotypes having red kernel colour to genotypes with amber kernels is difficult using conventional methods of plant breeding. The study here was undertaken to identify DNA markers linked with tolerance to PHS as these would allow indirect marker-assisted selection of PHS-tolerant genotypes with amber kernels. For this purpose, a set of 100 recombinant inbred lines (RILs) was developed using a cross between a PHS-tolerant genotype, SPR8198, with red kernels and a PHS-susceptible cultivar, ‘HD2329’, with white kernels. The two parents were analysed with 232 STMS (sequence-tagged microsatellite site) and 138 STS (sequence-tagged site) primer pairs. A total of 300 (167 STMSs and 133 STSs) primer pairs proved functional by giving scorable PCR products. Of these, 57 (34%) STMS and 30 (23%) STS primer pairs detected reproducible polymorphism between the parent genotypes. Using these primer pairs, we carried out bulked segregant analysis on two bulked DNAs, one obtained by pooling DNA from 5 PHS-tolerant RILs and the other similarly derived by pooling DNA from 5 PHS-susceptible RILs. Two molecular markers, 1 STMS primer pair for the locus wmc104 anda STS primer pair for the locus MST101, showed apparent linkage with tolerance to PHS. This was confirmed following selective genotyping of individual RILs included in the bulks. Chi-square contingency tests for independence were conducted on the cosegregation data collected on 100 RILs involving each of the two molecular markers (wmc104 and MST101) and PHS. The tests revealed a strong association between each of the markers and tolerance to PHS. Using nullisomic-tetrasomic lines, we were able to assign wmc104 and MST101 to chromosomes 6B and 7D, respectively. The results also indicated that the tolerance to PHS in SPR8198 is perhaps governed by two genes (linked with two molecular markers) exhibiting complementary interaction. Received: 15 October 1998 / Accepted: 19 December 1998     

Construction of a comprehensive PCR-based marker linkage map and QTL mapping for fiber quality traits in upland cotton (Gossypium hirsutum L.)

To facilitate marker assisted selection, there is an urgent need to construct a saturated genetic map of upland cotton (Gossypium hirsutum L.). Four types of markers including SSR, SRAP, morphological marker, and intron targeted intron–exon splice junction (IT-ISJ) marker were used to construct a linkage map with 270 F_2:7 recombinant inbred lines derived from an upland cotton cross (T586 × Yumian 1). A total of 7,508 SSR, 740 IT-ISJ and 384 SRAP primer pairs/combinations were used to screen for polymorphism between the two mapping parents, and the average polymorphisms of three types of molecular markers represented 6.8, 6.6 and 7.0%, respectively. The polymorphic primer pairs/combinations and morphological markers were used to genotype 270 recombinant inbred lines, and a map including 604 loci (509 SSR, 58 IT-ISJ, 29 SRAP and 8 morphological loci) and 60 linkage groups was constructed. The map spanned 3,140.9 cM with an average interval of 5.2 cM between two markers, approximately accounting for 70.6% of the cotton genome. Fifty-four of 60 linkage groups were ordered into 26 chromosomes. Multiple QTL mapping was used to identify QTL for fiber quality traits in five environments, and thirteen QTL were detected. These QTL included four for fiber length (FL), two for fiber strength (FS), two for fiber fineness (FF), three for fiber length uniformity (FU), and two for fiber elongation (FE), respectively. Each QTL explained between 7.4 and 43.1% of phenotypic variance. Five out of thirteen QTL (FL1 and FU1 on chromosome 6, FL2, FU2 and FF1 on chromosome7) were detected in five environments, and they explained more than 20% of the phenotypic variance. Eleven QTL were distributed on A genome, while the other two on D genome.     

Map construction of sequence-tagged sites (STSs) in barley (Hordeum vulgare L.)

 In order to identify sequence-tagged sites (STSs) appropriate for recombinant inbred lines (RILs) of barley cultivars ‘Azumamugi’ × ‘Kanto Nakate Gold’, a total of 43 STS primer pairs were generated on the basis of the terminal sequences of barley restriction fragment length polymorphism (RFLP) clones. Forty one of the 43 primer pairs amplified PCR products in Azumamugi, Kanto Nakate Gold, or both. Of these, two showed a length polymorphism and two showed the presence or absence of polymorphism between the parents. PCR products of the remaining 37 primers were digested with 46 restriction endonucleases, and polymorphisms were detected for 15 primers. A 383.6-cM linkage map of RILs of Azumamugi×Kanto Nakate Gold was constructed from the 19 polymorphic STS primer pairs (20 loci) developed in this study, 45 previously developed STS primer pairs (47 loci), and two morphological loci. Linkage analysis and analysis of wheat-barley chromosome addition lines showed that with three exceptions, the chromosome locations of the STS markers were identical with those of the RFLP markers. Received: 4 August 1998 / Accepted: 8 October 1998     

Novel quantitative trait loci (QTL) for Fusarium head blight resistance in wheat cultivar Chokwang

Fusarium head blight (FHB) is one of the most destructive diseases in wheat. This study was to identify new quantitative trait loci (QTL) for FHB resistance and the molecular markers closely linked to the QTL in wheat cultivar Chokwang. The primers of 612 simple sequence repeats (SSRs) and 12 target-region-amplified polymorphism (TRAP) marker were analyzed between resistant (Chokwang) and susceptible (Clark) parents. One hundred and seventy-two polymorphic markers were used to screen a population of 79 recombinant inbred lines (RILs) derived from the cross of Chokwang and Clark. One major QTL, Qfhb.ksu-5DL1, was identified on chromosome 5DL. The SSR marker Xbarc 239 was mapped in the QTL region, and also physically located to the bin of 5DL1-0.60-0.74 by using Chinese Spring deletion lines. Another QTL Qfhb.ksu-4BL1was linked to SSR Xbarc 1096 and tentatively mapped on 4BL. A QTL on 3BS, Qfhb.ksu-3BS1, was also detected with marginal significance in this population. Different marker alleles for these QTL were detected between Chokwang and Sumai 3 and its derivatives. These results suggested that Chokwang contains new QTL for FHB resistance that are different from those in Sumai 3. Pyramiding resistance QTL from various sources may enhance FHB resistance in wheat cultivars.     

An expressed sequence tag SSR map of tetraploid alfalfa (Medicago sativa L.)

A genetic map constructed from a population segregating for a trait of interest is required for QTL identification. The goal of this study was to construct a molecular map of tetraploid alfalfa (Medicago sativa.) using simple sequence repeat (SSR) markers derived primarily from expressed sequence tags (ESTs) and bacterial artificial chromosome (BAC) inserts of M. truncatula. This map will be used for the identification of drought tolerance QTL in alfalfa. Two first generation backcross populations were constructed from a cross between a water-use efficient, M. sativa subsp. falcata genotype and a low water-use efficient M. sativa subsp. sativa genotype. The two parents and their F₁ were screened with 1680 primer pairs designed to amplify SSRs, and 605 single dose alleles (SDAs) were amplified. In the F₁, 351 SDAs from 256 loci were mapped to 41 linkage groups. SDAs not inherited by the F₁, but transmitted through the recurrent parents and segregating in the backcross populations, were mapped to 43 linkage groups, and 44 of these loci were incorporated into the composite maps. Homologous linkage groups were joined to form eight composite linkage groups representing the eight chromosomes of M. sativa. The composite maps consist of eight composite linkage groups with 243 SDAs from M. truncatula EST sequences, 38 SDAs from M. truncatula BAC clone sequences, and five SDAs from alfalfa genomic SSRs. The total composite map length is 624 cM, with average marker density per composite linkage group ranging from 1.5 to 4.4 cM, and an overall average density of 2.2 cM. Segregation distortion was 10%, and distorted loci tended to cluster on individual homologues of several linkage groups. Electronic Supplementary Material Supplementary material is available for this article at     

Colocation between a gene encoding the bZip factor SPA and an eQTL for a high-molecular-weight glutenin subunit in wheat (Triticum aestivum).

The quality of wheat grain is largely determined by the quantity and composition of storage proteins (prolamins) and depends on mechanisms underlying the regulation of expression of prolamin genes. The endosperm-specific wheat basic region leucine zipper (bZIP) factor storage protein activator (SPA) is a positive regulator that binds to the promoter of a prolamin gene. The aim of this study was to map SPA (the gene encoding bZIP factor SPA) and genomic regions associated with quantitative variations of storage protein fractions using F7 recombinant inbred lines (RILs) derived from a cross between Triticum aestivum "Renan" and T. aestivum "Récital". SPA was mapped through RFLP using a cDNA probe and a specific single nucleotide polymorphism (SNP) marker. Storage protein fractions in the parents and RILs were quantified using capillary electrophoresis. Quantitative trait loci (QTLs) for protein were detected and mapped on six chromosome regions. One QTL, located on the long arm of chromosome 1B, explained 70% of the variation in quantity of the x subunit of Glu-B1. Genetic mapping suggested that SPA is located on chromosome arm 1L and is also present in the confidence interval of the corresponding QTL for Glu-B1x on 1BL, suggesting that SPA might be a candidate gene for this QTL.     

Molecular mapping of a quantitative trait locus for aluminum tolerance in wheat cultivar Atlas 66

Genetic improvement of aluminum (Al) tolerance is one of the cost-effective solutions to improve wheat (Triticum aestivum) productivity in acidic soils. The objectives of the present study were to identify quantitative trait loci (QTL) for Al-tolerance and associated PCR-based markers for marker-assisted breeding utilizing cultivar Atlas 66. A population of recombinant inbred lines (RILs) from the cross Atlas 66/Century was screened for Al-tolerance by measuring root-growth rate during Al treatment in hydroponics and root response to hematoxylin stain of Al treatment. After 797 pairs of SSR primers were screened for polymorphisms between the parents, 131 pairs were selected for bulk segregant analysis (BSA). A QTL analysis based on SSR markers revealed one QTL on the distal region of chromosome arm 4DL where a malate transporter gene was mapped. This major QTL accounted for nearly 50% of the phenotypic variation for Al-tolerance. The SSR markers Xgdm125 and Xwmc331 were the flanking markers for the QTL and have the potential to be used for high-throughput, marker-assisted selection in wheat-breeding programs.     

Identification of RAPD markers linked to the karnal bunt resistance genes in wheat

A set of 104 wheat recombinant inbred lines (RILs) obtained from a cross between parents resistant (HD 29) and susceptible (WH 542) to karnal bunt (KB) (caused by Neovossia indica) were screened and used to identify random amplified polymorphic DNA (RAPD) markers linked with resistance to karnal bunt as these would allow indirect marker assisted selection of KB resistant genotypes. The two parents were analysed with 92 RAPD primers. A total of 65 primers proved functional by giving scorable polymerase chain reaction (PCR) products. Of these, 21 (32 %) primers detected polymorphism between the two parental genotypes. Using these primers, bulked segregant analysis was carried out on two bulk DNAs, one obtained by pooling DNA from 10 KB resistant RILs and the other similarly derived by pooling 10 KB susceptible RILs. One marker, OPM-20 showed apparent association with resistance to KB. This was confirmed following selective genotyping of individual RILs included in the bulks.     

Comparison between marker-assisted selection and phenotypical selection in a set of Arabidopsis thaliana recombinant inbred lines

 Parents were selected from a well-characterised Arabidopsis recombinant inbred line (RIL) population based on (1) their phenotype for flowering time or (2) marker and QTL information that had been assessed previously. The F₂ offspring obtained from pairs of selected RILs was analysed for these traits, and the results obtained with these two methods of selection were compared. Selection based on marker and QTL information gave approximately the same result as selection based on phenotype. The relative high heritability of flowering time in Arabidopsis facilitated successful phenotypical selection. The difference in selection result that was anticipated to be in favour of the marker-assisted approach was therefore not observed. Received: 29 November 1997 / Accepted: 8 June 1998     

Molecular mapping of Fusarium head blight resistance in the winter wheat population Dream/Lynx

Fusarium head blight (FHB), mainly caused by Fusarium graminearum and F. culmorum, can significantly reduce the grain quality of wheat (Triticum aestivum L.) due to mycotoxin contamination. The objective of this study was to identify quantitative trait loci (QTLs) for FHB resistance in a winter wheat population developed by crossing the resistant German cultivar Dream with the susceptible British cultivar Lynx. A total of 145 recombinant inbred lines (RILs) were evaluated following spray inoculation with a F. culmorum suspension in field trials in 2002 in four environments across Germany. Based on amplified fragment length polymorphism and simple sequence repeat marker data, a 1,734 cM linkage map was established assuming that the majority of the polymorphic parts of the genome were covered. The area under disease progress curve (AUDPC) was calculated based on the visually scored FHB symptoms. The population segregated quantitatively for FHB severity. Composite interval mapping analysis for means across the environments identified four FHB resistance QTLs on chromosomes 6AL, 1B, 2BL and 7BS. Individually the QTLs explained 19%, 12%, 11% and 21% of the phenotypic variance, respectively, and together accounted for 41%. The QTL alleles conferring resistance on 6AL, 2BL and 7BS originated from cv. Dream. The resistance QTL on chromosome 6AL partly overlapped with a QTL for plant height. The FHB resistance QTL on 7BS coincided with a QTL for heading date, but the additive effect on heading date was of minor importance. The resistance QTL on chromosome 1B was associated with the T1BL.1RS wheat-rye translocation of Lynx.     

Markers associated with a QTL for grain yield in wheat under drought

Drought is a major abiotic stress that adversely affects wheat production in many regions of the world. The objective of this study was to identify quantitative trait loci (QTL) controlling grain yield and yield components under reduced moisture. A cross between common wheat cultivars ‘Dharwar Dry’ (drought tolerant) and ‘Sitta’ was the source of one hundred twenty-seven recombinant inbred lines evaluated for two-seasons in a field under differing soil moisture regimes in Ciudad Obregon, Sonora, Mexico. An SSR/EST-STS marker map was constructed and a grain yield QTL on the proximal region of chromosome 4AL was found to have a significant impact on performance under reduced moisture. This region was associated with QTL for grain yield, grain fill rate, spike density, grains m⁻², biomass production, biomass production rate, and drought susceptibility index (DSI). Molecular markers associated with these traits explained 20, 33, 15, 23, 30, 26, and 41% of phenotypic variation, respectively on chromosome 4A. Microsatellite locus Xwmc89 was associated with all significant QTL covering a 7.7 centiMorgans (cM) region and generally explained the greatest proportion of phenotypic variation. The alleles associated with enhanced performance under drought stress were contributed by Dharwar Dry. Microsatellite marker wmc89 may be useful for marker assisted selection to enhance drought tolerance.     

Identification of QTLs Underlying Water-Logging Tolerance in Soybean

Soil water-logging can cause severe damage to soybean [Glycine max (L.) Merr.] and results in significant yield reduction. The objective of this study was to identify quantitative trait loci (QTL) that condition water-logging tolerance (WLT) in soybean. Two populations with 103 and 67 F_6:11 recombinant inbred lines (RILs) from A5403 × Archer (Population 1) and P9641 × Archer (Population 2), respectively, were used as the mapping populations. The populations were evaluated for WLT in manually flooded fields in 2001, 2002, and 2003. Significant variation was observed for WLT among the lines in the two populations. No transgressive tolerant segregants were observed in either population. Broad-sense heritability of WLT for populations 1 and 2 were 0.59 and 0.43, respectively. The tolerant and sensitive RILs from each population were selected to create a tolerant bulk and a sensitive bulk, respectively. The two bulks and the parents of each population were tested with 912 simple sequence repeat (SSR) markers to select candidate regions on the linkage map that were associated with WLT. Markers from the candidate regions were used to genotype the RILs in both populations. Both single marker analysis (SMA) and composite interval mapping (CIM) were used to identify QTL for WLT. Seventeen markers in Population 1 and 15 markers in Population 2 were significantly (p <0.0001) associated with WLT in SMA. Many of these markers were linked to Rps genes or QTL conferring resistance to Phytophthora sojae Kaufmann and Gerdemann. Five markers, Satt599 on linkage group (LG) A1, Satt160, Satt269, and Satt252 on LG F, and Satt485 on LG N, were significant (p <0.0001) for WLT in both populations. With CIM, a WLT QTL was found close to the marker Satt385 on LG A1 in Population 1 in 2003. This QTL explained 10% of the phenotypic variation and the allele that increased WLT came from Archer. In Population 2 in 2002, a WLT QTL was located near the marker Satt269 on LG F. This QTL explained 16% of the phenotypic variation and the allele that increased WLT also came from Archer.     

RAPD-based SCAR marker SCA 12 linked to recessive gene conferring resistance to anthracnose in sorghum [Sorghum bicolor (L.) Moench]

Anthracnose, caused by Colletotrichum graminicola, infects all aerial parts of sorghum, Sorghum bicolor (L.) Moench, plants and causes loss of as much as 70%. F₁ and F₂ plants inoculated with local isolates of C. graminicola indicated that resistance to anthracnose in sorghum accession G 73 segregated as a recessive trait in a cross with susceptible cultivar HC 136. To facilitate the use of marker-assisted selection in sorghum breeding programs, a PCR-based specific sequence characterized amplified region (SCAR) marker was developed. A total of 29 resistant and 20 susceptible recombinant inbred lines (RILs) derived from a HC 136 × G 73 cross was used for bulked segregant analysis to identify a RAPD marker closely linked to a gene for resistance to anthracnose. The polymorphism between the parents HC 136 and G 73 was evaluated using 84 random sequence decamer primers. Among these, only 24 primers generated polymorphism. On bulked segregant analysis, primer OPA 12 amplified a unique band of 383 bp only in the resistant parent G 73 and resistant bulk. Segregation analysis of individual RILs showed the marker OPA 12₃₈₃ was 6.03 cM from the locus governing resistance to anthracnose. The marker OPA 12₃₈₃ was cloned and sequenced. Based on the sequence of cloned RAPD product, a pair of SCAR markers SCA 12-1 and SCA 12-2 was designed using the MacVector program, which specifically amplified this RAPD fragment in resistant parent G 73, resistant bulk and respective RILs. Therefore, it was confirmed that SCAR marker SCA 12 is at the same locus as RAPD marker OPA 12₃₈₃ and hence, is linked to the gene for resistance to anthracnose.     

Isolation and characterization of simple sequence repeat markers in the hexaploid forage grass timothy (<Emphasis Type="Italic">Phleum pratense</Emphasis> L.)

To develop simple sequence repeat (SSR) markers for the hexaploid forage grass timothy (Phleum pratense L.), we used four SSR-enriched genomic libraries to isolate 1,331 SSR-containing clones. All four libraries contained a high percentage of perfect clones, ranging from 78.1% to 91.6%. From these clones, we developed 355 SSR markers when tested from 502 SSR primer pairs. Using all 355 SSR markers we tested one screening panel consisting of eight timothy clones to detect the level of polymorphism and identify a set of loci suitable for framework mapping. The SSR markers detected 90.4% polymorphism between the parents of a pseudo-testcross F₁ population. These SSR markers will provide an ideal marker system to assist with gene targeting, QTL (quantitative trait locus) mapping, and marker-assisted selection in timothy.Electronic Supplementary Material Supplementary material is available in the online version of this article at     

AB-QTL analysis in winter wheat: I. Synthetic hexaploid wheat (<Emphasis Type="Italic">T. turgidum</Emphasis> ssp. <Emphasis Type="Italic">dicoccoides </Emphasis> × <Emphasis Type="Italic">T. tauschii</Emphasis>) as a source of favourable alleles for milling and baking quality traits

The advanced backcross QTL (AB-QTL) strategy was utilised to locate quantitative trait loci (QTLs) for baking quality traits in two BC₂F₃ populations of winter wheat. The backcrosses are derived from two German winter wheat cultivars, Batis and Zentos, and two synthetic, hexaploid wheat accessions, Syn022 and Syn086. The synthetics originate from hybridisations of wild emmer (T. turgidum spp. dicoccoides) and T. tauschii, rather than from durum wheat and T. tauschii and thus allowed for the first time to test for exotic QTL effects on wheat genomes A and B in addition to genome D. The investigated quality traits comprised hectolitre weight, grain hardness, flour yield Type 550, falling number, grain protein content, sedimentation volume and baking volume. One hundred and forty-nine SSR markers were applied to genotype a total of 400 BC₂F₃ lines. For QTL detection, a mixed-model ANOVA was conducted, including the effects DNA marker, BC₂F₃ line, environment and marker × environment interaction. Overall 38 QTLs significant for a marker main effect were detected. The exotic allele improved trait performance at 14 QTLs (36.8%), while the elite genotype contributed the favourable effect at 24 QTLs (63.2%). The favourable exotic alleles were mainly associated with grain protein content, though the greatest improvement of trait performance due to the exotic alleles was achieved for the traits falling number and sedimentation volume. At the QTL on chromosome 4B the exotic allele increased the falling number by 19.6% and at the QTL on chromosome 6D the exotic allele led to an increase of the sedimentation volume by 21.7%. The results indicate that synthetic wheat derived from wild emmer × T. tauschii carries favourable QTL alleles for baking quality traits, which might be useful for breeding improved wheat varieties by marker-assisted selection.     

Quantitative trait loci controlling phenotypes related to the perennial versus annual habit in wild relatives of maize

We used quantitative trait locus/loci (QTL) mapping to study the inheritance of traits associated with perennialism in a cross between an annual (Zea mays ssp. parviglumis) and a perennial (Z. diploperennis) species of teosinte. The most striking difference between these species is that Z. diploperennis forms rhizomes, whereas Z. mays ssp. parviglumis lacks these over-wintering underground stems. An F₂ population of 425 individuals was genotyped at 95 restriction fragment length polymorphism marker loci and the association between phenotype and genotype was analyzed by composite interval mapping. We detected a total of 38 QTL for eight traits. The number of QTL found for each trait ranged from two for rhizome formation to nine for tillering. QTL for six of the traits mapped near each other on chromosome 2, and QTL for four traits mapped near each other on chromosome 6, suggesting that these regions play an important role in the evolution of the perennial habit in teosinte. Most of the 38 QTL had small effects, and no single QTL showed a strikingly large effect. The map positions that we determined for rhizome formation and other traits in teosinte may help to locate corresponding QTL in pasture and turf grasses used as forage for cattle and for erosion control in agro-ecosystems.     

Screening of IR50?×?Rathu Heenati F7 RILs and Identification of SSR Markers Linked to Brown Planthopper (Nilaparvata lugens St?l) Resistance in Rice (Oryza sativa L.)

Brown planthopper (Nilaparvata lugens St?l) is one of the major insect pests of rice. A Sri Lankan indica rice cultivar Rathu Heenati was found to be resistant to all biotypes of the brown planthopper. In the present study, a total of 268 F₇ RILs of IR50 and Rathu Heenati were phenotyped for their level of resistance against BPH by the standard seedbox screening test (SSST) in the greenhouse. A total of 53 SSR primers mapped on the chromosome 3 were used to screen the polymorphism between the parents IR50 and Rathu Heenati, out of which eleven were found to be polymorphic between IR50 and Rathu Heenati. The eleven primers that have shown polymorphism between the IR50 and Rathu Heenati parents were genotyped in a set of five resistant RILs and five susceptible RILs along with the parents for co-segregation analysis. Among the eleven primers, two primers namely RM3180 (18.22 Mb) and RM2453 (20.19 Mb) showed complete co-segregation with resistance. The identification of SSR markers linked with BPH resistant could be used for the maker assisted selection (MAS) program in rice breeding and to map the resistant genes on rice chromosomes for further gene cloning.     

Molecular tagging and genetic mapping of the disease resistance gene<Emphasis Type="Italic"> RppQ</Emphasis> to southern corn rust

Southern corn rust (SCR), Puccinia polysora Underw, is a destructive disease in maize (Zea mays L.). Inbred line Qi319 is highly resistant to SCR. Results from the inoculation test and genetic analysis of SCR in five F₂ populations and five BC₁F₁ populations derived from resistant parent Qi319 clearly indicate that the resistance to SCR in Qi319 is controlled by a single dominant resistant gene, which was named RppQ. Simple sequence repeat (SSR) analysis was carried out in an F₂ population derived from the cross Qi319×340. Twenty SSR primer pairs evenly distributed on chromosome10 were screened at first. Out of them, two primer pairs, phi118 and phi 041, showed linkage with SCR resistance. Based on this result, eight new SSR primer pairs surrounding the region of primers phi118 and phi 041 were selected and further tested regarding their linkage relation with RppQ. Results indicated that SSR markers umc1,318 and umc 2,018 were linked to RppQ with a genetic distance of 4.76 and 14.59 cM, respectively. On the other side of RppQ, beyond SSR markers phi 041 and phi118, another SSR marker umc1,293 was linked to RppQ with a genetic distance of 3.78 cM. Because the five linkage SSR markers (phi118, phi 041, umc1,318, umc 2,018 and umc1,293) are all located on chromosome 10, the RppQ gene should also be located on chromosome 10. In order to fine map the RppQ gene, AFLP (amplified fragment length polymorphism) analysis was carried out. A total 54 AFLP primer combinations were analyzed; one AFLP marker, AF1, from the amplification products of primer combination E-AGC/M-CAA, showed linkage with the RppQ gene in a genetic distance of 3.34 cM. Finally the RppQ gene was mapped on the short arm of chromosome 10 between SSR markers phi 041 and AFLP marker AF1 with a genetic distance of 2.45 and 3.34 cM respectively.Communicated by H. F. Linskens     

小麦旗叶早衰性状的QTL定位

为小麦旗叶早衰性状的精细定位和基因克隆奠定基础,该试验以普通小麦(Triticum aestivum L.)‘宁春4号’和‘宁春27号’杂交得到的128个F10代RIL群体为研究材料,利用307对多态性SSR标记对小麦旗叶早衰性状进行了QTL定位,并通过构建整合图谱的方法进行了标记加密。结果表明,共检测到1个控制旗叶早衰性状的加性QTL,位于2A染色体长臂的gwm526和gwm382标记区间内,可解释49.88%的表型变异。经遗传图谱整合后发现,gwm526和gwm382标记之间存在124个SNP标记。