Molecular tagging and mapping of the erect panicle gene in rice

Erect panicle (EP) is one of the more important traits of the proposed ideotype of high-yielding rice. Several rice cultivars with the EP phenotype, which has been reported to be controlled by a dominant gene, have been successfully developed and released for commercial production in North China. To analyze the inheritance of the EP trait, we generated segregating F₂ and BC₁F₁ populations by crossing an EP-type variety, Liaojing 5, and a curved-panicle-type variety, Fengjin. Our results confirmed that a dominant gene controls the EP trait. Simple-sequence repeat (SSR) and bulked segregant analyses of the F₂ population revealed that the EP gene is located on chromosome 9, between two newly developed SSR markers, RM5833-11 and RM5686-23, at a genetic distance of 1.5 and 0.9 cM, respectively. Markers closer to the EP gene were developed by amplified fragment length polymorphism (AFLP) analysis with 128 AFLP primer combinations. Three AFLP markers were found to be linked to the EP gene, and the nearest marker, E-TA/M-CTC₂₀₀, was mapped to the same location as SSR marker RM5686-23, 1.5 cM from the EP gene. A local map around the EP gene comprising nine SSR and one AFLP marker was constructed. These markers will be useful for marker-assisted selection (MAS) for the EP trait in rice breeding programs.     

Molecular mapping of four blast resistance genes using recombinant inbred lines of 93-11 and nipponbare

Molecular mapping of new blast resistance genes is important for developing resistant rice cultivars using marker-assisted selection. In this study, 259 recombinant inbred lines (RILs) were developed from a cross between Nipponbare and 93-11, and were used to construct a 1165.8-cM linkage map with 131 polymorphic simple sequence repeat (SSR) markers. Four major quantitative trait loci (QTLs) for resistance to six isolates of Magnaporthe oryzae were identified: qPi93-1, qPi93-2, qPi93-3, and qPiN-1. For the three genes identified in 93-11, qPi93-1 is linked with SSR marker RM116 on the short arm of chromosome 11 and explains 33% of the phenotypic variation in resistance to isolate CHE86. qPi93-2 is linked with SSR marker RM224 on the long arm of chromosome 11 and accounts for 31% and 25% of the phenotypic variation in resistance to isolates 162-8B and ARB50, respectively. qPi93-3 is linked with SSR marker RM7102 on chromosome 12 and explains 16%, 53%, and 28% of the phenotypic variation in resistance to isolates CHE86, ARB52, and ARB94, respectively. QTL qPiN-1 from Nipponbare is associated with SSR marker RM302 on chromosome 1 and accounts for 34% of the phenotypic variation in resistance to isolate PO6-6. These new genes can be used to develop new varieties with blast resistance via marker-aided selection and to explore the molecular mechanism of rice blast resistance.     

Marker-trait association analysis for gall midge (Orseolia oryzae) resistance in a diverse rice population

Damage caused by insect herbivores, notably Asian rice gall midge, Orseolia oryzae is more prevalent in the rice-growing belts of India's southern and north-eastern states. As a prelude to resistant cultivar development, the identification of genomic regions for resistance in the source population is crucial. In the present investigation, 202 rice genotypes were phenotyped and assayed with genomic markers reported for gall midge resistance. Positive skewness and platykurtic distribution of response scores suggested the inheritance of gall midge resistance in the study population. The marker gm3del3 contributed the most genetic variation, followed by RM28574 and marker RM22709 explained minimal variation. A marker-trait association analysis with a single marker-trait linear regression approach was performed to discover gall midge resistant genomic region/genes. The marker RM17480 on chromosome 4 reported to be linked with gm3 gene was found significantly associated with the gall midge resistance genomic region with allelic effects in a negative direction favouring resistance reaction. The allelic effects of significantly associated markers were correlated significantly with the phenotypic variation of gall midge damage scores. Genes identified in the vicinity of this marker contribute to stress response reactions in rice plants. The 200 bp allele of the marker was associated with susceptibility, while the 250 bp allele was associated with resistance expression. This allelic association with trait variation suggests the importance of associated marker for utilisation in marker-assisted selection programmes to incorporate resistance alleles into elite rice genotypes.     

SSRs for Marker-Assisted Selection for Blast Resistance in Rice (Oryza sativa L.)

Rice blast caused by the fungus Magnaporthe oryzae is one of the most devastating diseases of rice in nearly all rice growing areas of the world including Malaysia. To develop cultivars with resistance against different races of M. oryzae, availability of molecular markers along with marker-assisted selection strategies are essential. In this study, 11 polymorphic simple sequence repeat (SSR) markers with good fit of 1:2:1 ratio for single gene model in F₂ population derived from the cross of Pongsu seribu 2 (Resistant) and Mahsuri (Susceptible) rice cultivars were analysed in 296 F₃ families derived from individual F₂ plants to investigate association with Pi gene conferring resistance to M. oryzae pathotype. Parents and progeny were grouped into two phenotypic classes based on their blast reactions. Chi-square test for the segregation of resistance and susceptibility in F₃ generation fitted a ratio of approximately 3:1. Association of SSR markers with phenotypic trait in F₃ families was identified by statistical analysis. Four SSR markers (RM413, RM5961, RM1233 and RM8225) were significantly associated with blast resistance to pathotype 7.2 of M. oryzae in rice (p ≤ 0.01). These four markers accounted for about 20% of total phenotypic variation. So, these markers were confirmed as suitable markers for use in marker-assisted selection and confirmation of blast resistance genes to develop rice cultivars with durable blast resistance in Malaysian rice breeding programmes.     

Retracted: Screening of candidate genes and fine mapping of drought tolerance quantitative trait loci on chromosome 4 in rice (Oryza sativa L.) under drought stress

Due to severe water resource shortage, genetics of and breeding for DT (drought tolerance) in rice (Oryza sativa L.) have become one of the hot research topics. Identification of grain yield QTLs (quantitative trait loci) directly related to the DT trait of rice can provide useful information for breeding new drought‐resistant and water‐saving rice varieties via marker‐assisted selection. A population of 105 advanced BILs (backcross introgression lines) derived from a cross between Zhenshan97B and IRAT109 in Zhenshan97B background were grown under drought stress in a field experiment and phenotypic traits were investigated. The results showed that in the target interval of RM273‐RM255 on chromosome 4, three main‐effect QTLs related to panicle length, panicle number, and spikelet number per panicle were identified (LOD [logarithm of the odds] > 2.0). The panicle length‐related QTL had two loci located in the neighboring intervals of RM17308‐RM17305 and RM17349‐RM17190, which explained 18.80% and 20.42%, respectively, of the phenotypic variation, while the panicle number‐related QTL was identified in the interval of RM1354‐RM17308, explaining 11.47% of the phenotypic variation. As far as the spikelet number per panicle‐related QTL was concerned, it was found to be located in the interval of RM17308‐RM17305, which explained 28.08% of the phenotypic variation. Using the online Plant‐GE query system, a total of 13 matched ESTs (expressed sequence tags) were found in the target region, and of the 13 ESTs, 12 had corresponding predicted genes. For instance, the two ESTs CB096766 and CA765747 were corresponded to the same predicted gene LOC_Os04g46370, while the other four ESTs, CA754286, CB000011, CX056247, and CX056240, were corresponded to the same predicted gene LOC_Os04g46390.     

水稻籽粒锌含量的QTL 定位

锌元素的营养失衡已成为影响人类健康的最重要因素之一, 籽粒锌含量的QTL(quantitative trait loci)定位对研究富锌水稻的遗传育种具有重要的意义。以水稻(Oryza sativa L.)亲本奉新红米和明恢100杂交的145个株系的F2群体为实验材料, 利用92个SSR(simple sequence repeat)标记对水稻籽粒锌含量进行了QTL定位, 共检测到3个QTLs , 分别定位于第3、6和11染色体上, 对表型变异的贡献率分别为4.97%、12.75%和7.74%。其中位于第3染色体上的分子标记RM186和RM168之间的QZN3对表型变异的贡献率最大, 其增效等位基因来自亲本明恢100, 表现为部分显性。3个QTLs 的联合贡献率为25.46%, 具有基因累加效应。该研究结果有利于深入理解水稻锌含量的遗传基础, 为锌含量的QTL精细定位、基因克隆和分子标记辅助选择提供依据。     

AFLP and STS tagging of a major QTL for Fusarium head blight resistance in wheat

Large-scale field screening for Fusarium head blight (FHB) resistance in wheat is difficult because environmental factors strongly influences the expression of resistance genes. Marker-assisted selection (MAS) may provide a powerful alternative. Conversion of amplified fragment length polymorphism (AFLP) markers into sequence-tagged site (STS) markers can generate breeder-friendly markers for MAS. In a previous study, one major quantitative trait locus (QTL) on chromosome 3BS was identified by using EcoRI-AFLP and a recombinant inbred population derived from the cross Ning 7840/Clark. Further mapping with PstI-AFLPs identified five markers that were significantly associated with the QTL. Three of them individually explained 38% to 50% of the phenotypic variation for FHB resistance. Two of them (pAGT/mCTG57, pACT/mCTG136) were linked to the QTL in coupling, and another (pAG/mCAA244) was linked to the QTL in repulsion. Successful conversion of one AFLP marker (pAG/mCAA244) yielded a co-dominant STS marker that explains about 50% of the phenotypic variation for FHB resistance in the population. The STS was validated in 14 other cultivars and is the first STS marker for a FHB resistance QTL converted from an AFLP marker.     

水稻籽粒锌含量的QTL定位

锌元素的营养失衡已成为影响人类健康的最重要因素之一,籽粒锌含量的QTL（quantitative trait loci）定位对研究富锌水稻的遗传育种具有重要的意义。以水稻（Oryzasativa L．）亲本奉新红米和明恢100杂交的145个株系的F2群体为实验材料,利用92个SSR（simple sequence repeat）标记对水稻籽粒锌含量进行了QTL定位,共检测到3个QTLs,分别定位于第3、6和11染色体上,对表型变异的贡献率分别为4．97％、12．75％和7．74％。其中位于第3染色体上的分子标记RM186和RM168之间的QZN3对表型变异的贡献率最大,其增效等位基因来自亲本明恢100,表现为部分显性。3个QTLs的联合贡献率为25．46％。具有基因累加效应。该研究结果有利于深入理解水稻锌含量的遗传基础,为锌含量的QTL精细定位、基因克隆和分子标记辅助选择提供依据。     

A quantitative trait locus for cold tolerance at the booting stage on rice chromosome 8

A quantitative trait locus (QTL) for cold tolerance at the booting stage of a cold-tolerant rice breeding line, Hokkai-PL9, was analyzed. A total of 487 simple sequence repeat (SSR) markers distributed throughout the genome were used to survey for polymorphism between Hokkai-PL9 and a cold-sensitive breeding line, Hokkai287, and 54 markers were polymorphic. Single marker analysis revealed that markers on chromosome 8 are associated with cold tolerance. By interval mapping using an F₂ population between Hokkai-PL9 and Hokkai287, a QTL for cold tolerance was detected on the short arm of chromosome 8. The QTL explains 26.6% of the phenotypic variance, and its additive effect is 11.4%. Substitution mapping suggested that the QTL is located in a 193-kb interval between SSR markers RM5647 and PLA61. We tentatively designated the QTL as qCTB8 (quantitative trait locus for cold tolerance at the booting stage on chromosome 8).     

QTL mapping of resistance to Fusarium ear rot using a RIL population in maize

Fusarium ear rot is a prevalent disease in maize, reducing grain yields and quality. Resistance breeding is an efficient way to minimize losses caused by the disease. In this study, 187 lines from a RIL population along with the resistant (87-1) and susceptible (Zong 3) parents were planted in Zhengzhou and Beijing with three replications in years 2004 and 2006. Each line was artificially inoculated using the nail-punch method. Significant genotypic variation in response to Fusarium ear rot was detected in both years. Based on a genetic map containing 246 polymorphic SSR markers with average genetic distances of 9.1 cM, the ear-rot resistance QTL were firstly analyzed by composite interval mapping (CIM). Three QTL were detected in both Zhengzhou and Beijing in 2004; and three and four QTL, respectively, were identified in 2006. The resistant parent contributed all resistance QTL. By using composite interval mapping and a mixed model (MCIM), significant epistatic effects on Fusarium ear rot as well as interactions between mapped loci and environments were observed across environments. Two QTL on chromosome 3 (3.04 bin) were consistently identified across all environments by the two methods. The major resistant QTL with the largest effect was flanked by markers umc1025 and umc1742 on chromosome 3 (3.04 bin), explaining 13–22% of the phenotypic variation. The SSR markers closely flanking the major resistance QTL will facilitate marker-assisted selection (MAS) of resistance to Fusarium ear rot in maize breeding programs.     

Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment

Drought is a major abiotic stress limiting rice production and yield stability in rainfed ecosystems. Identifying quantitative trait loci (QTL) for rice yield and yield components under water limited environments will help to develop drought resilient cultivars using marker assisted breeding (MAB) strategy. A total of 232 recombinant inbred lines of IR62266/Norungan were used to map QTLs for plant phenology and production traits under rainfed condition in target population of environments. A total of 79 QTLs for plant phenology and production traits with phenotypic variation ranging from 4.4 to 72.8% were detected under non-stress and drought stress conditions across two locations. Consistent QTLs for phenology and production traits were detected across experiments and water regimes. The QTL region, RM204-RM197-RM217 on chromosome 6 was linked to days to 50% flowering and grain yield per plant under both rainfed and irrigated conditions. The same genomic region, RM585-RM204-RM197 was also linked to harvest index under rainfed condition with positive alleles from Norungan, a local landrace. QTLs for plant production and drought resistance traits co-located near RM585-RM204-RM197-RM217 region on chromosome 6 in several rice genotypes. Thus with further fine mapping, this region may be useful as a candidate QTL for MAB, map-based cloning of genes and functional genomics studies for rainfed rice improvement.     

Quantitative trait loci for lodging resistance,plant height and partial resistance to mycosphaerella blight in field pea (Pisum sativum L.)

With the development of genetic maps and the identification of the most-likely positions of quantitative trait loci (QTLs) on these maps, molecular markers for lodging resistance can be identified. Consequently, marker-assisted selection (MAS) has the potential to improve the efficiency of selection for lodging resistance in a breeding program. This study was conducted to identify genetic loci associated with lodging resistance, plant height and reaction to mycosphaerella blight in pea. A population consisting of 88 recombinant inbred lines (RILs) was developed from a cross between Carneval and MP1401. The RILs were evaluated in 11 environments across the provinces of Manitoba, Saskatchewan and Alberta, Canada in 1998, 1999 and 2000. One hundred and ninety two amplified fragment length polymorphism (AFLP) markers, 13 random amplified polymorphic DNA (RAPD) markers and one sequence tagged site (STS) marker were assigned to ten linkage groups (LGs) that covered 1,274 centi Morgans (cM) of the pea genome. Six of these LGs were aligned with the previous pea map. Two QTLs were identified for lodging resistance that collectively explained 58% of the total phenotypic variation in the mean environment. Three QTLs were identified each for plant height and resistance to mycosphaerella blight, which accounted for 65% and 36% of the total phenotypic variation, respectively, in the mean environment. These QTLs were relatively consistent across environments. The AFLP marker that was associated with the major locus for lodging resistance was converted into the sequence-characterized amplified-region (SCAR) marker. The presence or absence of the SCAR marker corresponded well with the lodging reaction of 50 commercial pea varieties.Communicated by H. F. Linskens     

Pi35(t), a new gene conferring partial resistance to leaf blast in the rice cultivar Hokkai 188

The japonica rice cultivar Hokkai 188 shows a high level of partial resistance to leaf blast. For mapping genes conferring the resistance, a set of 190 F₂ progeny/F₃ families was developed from the cross between the indica rice cultivar Danghang-Shali, with a low level of partial resistance, and Hokkai 188. Partial resistance to leaf blast in the F₃ families was assessed in upland nurseries. From a primary microsatellite (SSR) linkage map and QTL analysis using a subset of 126 F₂ progeny/F₃ families randomly selected from the above set, one major QTL located on chromosome 1 was detected in the vicinity of SSR marker RM1216. This QTL was responsible for 69.4% of the phenotypic variation, and Hokkai 188 contributed the resistance allele. Segregation analysis in the F₃ families for partial resistance to leaf blast was in agreement with the existence of a major gene, and the gene was designated as Pi35(t). Another QTL detected on chromosome 8 was minor, explained 13.4% of the phenotypic variation, and an allele of Danghang-Shali increased the level of resistance in this QTL. Additional SSR markers of the targeted Pi35(t) region were further surveyed in the 190 F₂ plants, and Pi35(t) was placed in a 3.5-cM interval flanked by markers RM1216 and RM1003.     

Development of PCR-based markers for thermosensitive genetic male sterility gene tms3(t) in rice (Oryza sativa L.)

Development of simple and reliable PCR-based markers is an important component of marker-aided selection (MAS) activities for agronomically important genes in rice breeding. In order to develop PCR-based markers for a rice thermosensitive genetic male sterility gene tms3(t), located on chromosome 6, the nucleotide sequences of four linked RAPD markers OPF18(2600), OPAC3(640), OPB19(750) and OPM7(550) were used to design and synthesize several pairs of specific primers for PCR amplification of the genomic DNA of both the parents IR32364TGMS (sterile) and IR68 (fertile), involved in mapping this gene. For the RAPD marker OPF 18(2600), two pairs of specific primer pair combination from different positions of the sequence resulted in generation of two codominant STS (Sequence Tagged Sites) markers. In case of markers OPAC3(640), OPB19(750) and OPAA7(550) the first two could generate dominant polymorphism, while the last one could not be successful in PCR amplification. Both the codominant STSs with primer combinations F18F/F18RM and F18FM/F18RM were found to be tightly linked to the tms3(t) gene with a genetic distance of 2.7 cM. The sizes of the different alleles in case of F18F/F18RM, F18FM/F18RM combinations were 2300 bp, 1050 bp, and 1900 bp, 1000 bp respectively. The efficiency of marker-assisted selection for this trait was estimated as 84.6%. Polymorphism survey of 12 elite rice lines, indicated that these PCR-based markers for tms3(t) can now be used in selecting TGMS plants at seeding stage in the segregating populations in environment independent of controlled temperature regime.     

Functional markers for <Emphasis Type="Italic">xa5</Emphasis>-mediated resistance in rice (<Emphasis Type="Italic">Oryza sativa</Emphasis>, L.)

The recent cloning of several agronomically important genes has facilitated the development of functional markers. These markers reside within the target genes themselves and can be used with great reliability and efficiency to identify favorable alleles in a breeding program. Bacterial blight (BB) is a severe rice disease throughout the world that is controlled primarily through use of resistant cultivars. xa5 is a race-specific, recessive gene mediating resistance to BB. It is widely used in rice breeding programs throughout the tropics. Due to its recessive nature, phenotypic selection for xa5-mediated resistance is both slow and costly. Previously, marker assisted selection (MAS) for this resistance gene was not efficient because it involved markers that were only indirectly linked to xa5 and ran the risk of being separated from the trait by recombination. Recently, the cloning of the gene underlying this trait made it possible to develop functional markers. Here we present a set of CAPS markers for easy, quick and direct identification of cultivars or progeny carrying xa5-mediated resistance and provide evidence that these markers are 100% predictive of the presence of the xa5 allele. These markers are expected to enhance the reliability and cost-effectiveness of MAS for xa5-mediated resistance.     

Association between molecular markers and blast resistance in an advanced backcross population of rice

An advanced backcross population consisting of 80 BC₃F₃ lines derived from rice vars. Vandana/Moroberekan was analysed for blast resistance and genotyped with 50 candidate genes and 23 simple sequence repeat (SSR) markers. Six candidate defence response genes [thaumatin, three nucleotide-binding site-leucine-rich repeat sequences from maize and two resistance gene analogue (RGA) markers] and one SSR marker (RM21) were significantly associated with partial blast resistance in rice (P=0.01). These markers accounted for phenotypic variation ranging from 9.6% to 29.4% and contributed to 76% of the total variation of percentage diseased leaf area (DLA) observed under natural infection. Four candidate genes (oxalate oxidase, 14-3-3 protein and two RGA markers) and four SSR markers (RM21, RM168, RM215 and RM250) were significantly associated with resistance to a single pathogen isolate, PO6-6. Among these, two markers were for DLA, five for lesion number and one for lesion size. These markers accounted for 9.1–28.7% of the phenotypic variation. A moderate correlation (r=0.48, P<0.01) was found between the level of partial resistance measured in the greenhouse and that measured under natural conditions. Analysis of BC₃F₄ progeny using genotypes of BC₃F₃ confirmed the phenotypic contribution of these markers. Cluster analysis of DNA profiles showed that the BC₃ population was genetically similar (>85%) to the recurrent parent Vandana. Although no obvious relationship between DNA profiles and resistant phenotypes was observed, three lines (VM19, VM46 and VM76) in a cluster with high similarity to Vandana (89–96%) expressed a high level of partial blast resistance in the field. Analysis of disease progress in the field confirmed the performance of selected lines based on greenhouse and nursery analyses. The advanced backcross progeny with resistance phenotypes tagged by markers will be useful for accumulating blast resistance in upland rice.Communicated by G. Wenzel     

Identification of AFLP markers in soybean linked to resistance to Meloidogyne javanica and conversion to Sequence Characterized Amplified Regions (SCARs)

Meloidogynejavanica is the most widely spread nematode pest on soybean in SouthAfrica. Only a few registered commercial South African cultivars are poor hostsof this nematode species and there is an urgent need for an efficient breedingprogramme for resistant cultivars of all maturity groups. However, breeding ishampered by laborious screening procedures for selection of poor host cultivarsand/or lines. The objective of this study was to develop an economically viablemolecular marker system for application in selection procedures. BothRestriction Fragment Length Polymorphism (RFLP) and Amplified Fragment LengthPolymorphism (AFLP) screening techniques identified markers linked togall-indexvariation in a segregating population of 60 F₂ progeny from a crossbetween a resistant cultivar (Gazelle) and a highly susceptible variety(Prima).A codominant RFLP marker( B212) was linked significantly to M.javanica resistance and explained 62% of the variation ingall-index.Seven AFLP markers were linked significantly to the resistance trait, of whichfour were linked in repulsion phase and three in coupling phase. All seven AFLPmarkers mapped to LG-F (Linkage Group F) on the public soybean molecular map.The major quantitative trait locus (QTL) for resistance mapped between markersE-ACC/M-CTC2(SOJA6) (linked in coupling phase), B212 and E-AAC/M-CAT1(SOJA7)(linked in repulsion phase). These two AFLP markers bracketing the majorresistance QTL were successfully converted to SCARs (Sequence CharacterizedAmplified Regions). Marker E-ACC/M-CTC2 was converted to a codominant SCARmarker SOJA6, which accounted for 41% of variation in gall-index in the mappingpopulation. Marker E-AAC/M-CAT1 was converted to a dominant SCAR marker (SOJA7)and explained 42% of gall-index variation in the mapping population. These twomarkers mapped approximately 3.8 cM and 2.4 cMrespectively from the resistance QTL. This study represents the first report ofthe development of PCR-based sequence specific markers linked to M.javanica resistance in soybean.     

Mapping and validation of a major QTL for yellow pigment content on 7AL in durum wheat (<Emphasis Type="Italic">Triticum turgidum</Emphasis> L. ssp. <Emphasis Type="Italic">durum</Emphasis>)

Yellow pigment content in durum wheat (Triticum turgidum L. ssp. durum) is an important criterion for both pasta bright yellow color and human health because of antioxidant properties of carotenoids involved in this pigmentation. In the present study, QTLs for yellow pigment content in durum wheat were mapped in a population of 140 RILs developed from a intraspecific cross between a released variety (PDW 233) and a landrace (Bhalegaon 4). This trait was evaluated in one location for 3 years and in two more locations for one additional year (five different year × location combinations further called “environments”). Yellow pigment content was highly heritable across the five different environments. Analysis of variance showed the significant effect of genotype, environment and genotype × environment interaction on the trait. Five different QTLs linked to yellow pigment content were identified on chromosome 1A, 3B, 5B, 7A and 7B across five different environments. The strongest one located on the distal part of the long arm of chromosome 7A, QYp.macs-7A, explained 55.22% of the variation in the trait, while, remaining four QTLs explained 5–8.75% of phenotypic variation in yellow pigment content. Marker analysis revealed significant association of one ISSR and one AFLP fragment with the trait. These two markers were linked to the major QTL QYp.macs-7A and were converted into SCAR markers. These SCAR markers were further validated on another population as well as 38 diverse genotypes so as to prove their potential in marker assisted selection. These markers will be very useful for the marker assisted breeding of durum wheat for higher yellow pigment content.     

Associations between DNA markers and resistance to diseases in sugarcane and effects of population substructure

Association between markers and sugarcane diseases were investigated in a collection of 154 sugarcane clones, consisting of important ancestors or parents, and cultivars. 1,068 polymorphic AFLP and 141 SRR markers were scored across all clones. Data on the four most important diseases in the Australian sugarcane industry were obtained; these diseases being pachymetra root rot (Pachymetra chaunorhiza B.J. Croft & M.W. Dick), leaf scald (Xanthomonas albilineans Dowson), Fiji leaf gall (Fiji disease virus), and smut (Ustilago scitaminea H. & P. Sydow). By a simple regression analysis, association between markers and diseases could be readily detected. However, many of these associations were due to the effects of embedded population structure and random effects. After taking population structure into account, we found that 59% of the phenotypic variation in smut resistance ratings could be accounted for by 11 markers, 32% of variation for leaf scald and pachymetra root rot rating by 4 markers, and 26% of Fiji leaf gall by 5 markers. The results suggest that marker–trait associations can be readily detected in populations generated from modern sugarcane breeding programs. This may be due to special features of past sugarcane breeding programs leading to persistent linkage disequilibrium in modern parental populations.Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

粳稻子预44中稻瘟病数量抗性位点分析

稻瘟病是世界范围内影响水稻(Oryza sativa)生产的主要病害。抗稻瘟病基因的发掘和育种利用是控制稻瘟病经济、环保的有效措施。为了揭示云南地方水稻品种子预44广谱持久抗瘟机制, 利用江南香糯和子预44杂交构建的F₇重组自交群体, 采用苗期稻瘟病菌自然诱发接种法, 通过调查田间抗瘟性表型数据, 结合基因型数据对子预44中的数量抗瘟性位点进行了分析。结果表明, 在连锁系数(logarithm of odds, LOD)大于2.0的域值上, 共检测出13个QTLs, 分别位于第1、2、6、8、12号染色体上。不同位点表型贡献值差异较大, 范围为5.8%-21.9%, 其中8号染色体上标记RM72-RM404之间的QTLs可解释约61.9%的表型变异, 很可能为一个主效抗瘟QTL位点。多个位点的主效和微效抗性相结合可能是子预44持久稻瘟病抗性的分子基础。