Variation of the vascular bundle system in Asian wild rice, Oryza rufipogon and its relationship to rachis branch number and growth habit

Accessions of Asian wild rice, Oryza rufipogonGriff., vary in phenology, growth habit, reproductivesystem, panicle architecture and rachis branchnumbers, and in habitat preferences. In this paper 86accessions of annual, perennial and intermediategrowth habit variants have been examined for variationin the numbers of rachis branches in the panicle andvascular bundles in their subtending peduncles.Accessions of annual habit, which regenerate from seedand are adapted to shallow and temporary swamps,developed fewer rachis branches (mean = 6.0) thanthose of perennial habit (mean = 7.2) which largelyregenerate vegetatively and are adapted to stable deepwater habits. In both cases variation within growthhabit groupings was narrow. Variation in vascularbundle numbers, which has not been previouslyreported, was similar (10.1 to 10.3), but morevariable within annuals. As a result the V/R ratio (ofvascular bundles: rachis branches) was higher inannuals (mean = 1.71) than among perennials (mean =1.46). Accessions of annual habit, and adaptedto a wide range of habitats, varied considerably inboth rachis branch (mean = 9.5) and vascular bundlenumbers (mean = 14.0), with V/R ratios similar tothose of perennial growth habit (mean = 1.49).Corresponding measures for both indica and japonica of cultivated rice (O. sativa) variednarrowly and were substantially greater for bothrachis branches (mean = 11.6 and 13.8, respectively)and vascular bundles (mean = 19.1 and 14.8,respectively), with V/R ratios of 1.67 for indica and similar to accessions of O.rufipogon of annual habit, and 1.07 for japonica and lower than accessions of O.rufipogon of both perennial and intermediate habit.Accessions of O. rufipogon from the India andIndochina regions were significantly lower in rachisbranch, but not vascular bundle numbers thanaccessions from China; with the V/R ratio higher amongaccessions from India than found in other geographicregions of origin. The possible role of O.rufipogon accessions of intermediate growth habit inthe evolution of cultivated rice is discussed,although it is speculated that accessions ofintermediate habit with high numbers of rachisbranches and vascular bundles may have resulted frominterspecific hybridization with O. sativacultivars.     

Variations of the vascular bundle system in Asian rice cultivars

Summary The capacity of vascular bundle system transporting assimilates from source to sink is one of the limiting factors for rice (Oryza sativa L.) yield. Genetic variation in vascular bundle system should be investigated for improvement of transporting efficiency. A total of 531 Asian rice cultivars were studied for vascular bundles in the peduncle and its relation to spike morphology. A few difference was detected for the number of primary rachis branches of the spike among the cultivars from various countries. However, the number of vascular bundles significantly differed among the cultivars; those from Nepal, Bangladesh and India bore more vascular bundles than those from Japan. Therefore, the ratio of vascular bundles to rachis branches (V/R ratio) was nearly 1.0 in cultivars from Japan, while those from Nepal, Bangladesh and India ranged from 1.3 to 2.2. Chinese and Indonesian cultivars incuded two types of high and low V/R ratios. Cultivars with high V/R ratio showed positive reactions to the phenol solution, while those with low V/R ratio were negative reactions, suggesting that the former cultivars are of Indica type and the latter of Japonica type. It was concluded that the relationship between vascular bundles and rachis branches differentiated among the ecotypes of Asian cultivated rice.     

Cold tolerance at the early growth stage in wild and cultivated rice

The present study was conducted to understand the pattern of variation and the genetic bases for cold tolerance at the early growth stage in Asian rice. The genetic variation was investigated at the germination, plumule and seedling stages among 57 strains including cultivated rice (Oryza sativa ssp. indica and ssp. japonica) and its wild progenitor (Oryza rufipogon). The significant differentiation of cold tolerance was observed among the taxonomically divided groups. At the germination stage, both indica and japonica subspecies tended to be more tolerant than O. rufipogon, whereas at the plumule and seedling stages, ssp. japonica tended to be more tolerant than ssp. indica and O. rufipogon. Furthermore, in cold tolerance at the plumule stage, the clinal variation across the latitude of origins was observed within O. rufipogon and ssp. japonica, suggesting that the current pattern of variation seems to have been shaped by both their phylogenetic histories and on-going adaptation to the local environments. QTL analysis between O. sativa ssp. japonica (tolerant) and O. rufipogon (susceptible) revealed five putative QTLs for cold tolerance at the plumule and seedling stages but not at the germination stage. Substitution mapping was also carried out to precisely locate the two major QTLs for cold tolerance at the plumule stage, which could be used for improvement of tolerance to cold stress in ssp. indica.     

Identification of QTLs for the resistance to rice stripe virus in the <Emphasis Type="Italic">indica</Emphasis> rice variety Dular

The indica variety Dular has a high level of resistance to rice stripe virus (RSV). We performed quantitative trait locus (QTL) analysis for RSV resistance using 226 F₂ clonal lines at the seedling stage derived from a cross between the susceptible japonica variety Balilla and the resistant indica variety Dular with two evaluation criteria, infection rate (IR) and disease rating index (DRI). The experiments were performed in both 2004 and 2005. Based on IR, three putative QTLs were detected and had consistent locations in the 2 years, one QTL was detected in the RM7324–RM3586 interval on chromosome 3. The other two QTLs were linked and located in the RM287–RM209 and RM209–RM21 intervals on the long arm of chromosome 11, and accounted for 87.8–57.8% of the total phenotypic variation in both years. Based on DRI, three putative QTLs were also detected and had consistent locations in both years. One of them was located in the RM1124–SSR20 interval on the short arm of chromosome 11, while the other two linked QTLs had the same chromosomal locations on chromosome 11 as those detected by IR, and accounted for 55.7–42.9% of total phenotypic variation in both years. In comparison to the mapping results from previous studies, one of the two linked QTLs had a chromosomal location that was similar to Stv-b ⁱ , an important RSV resistance gene, while the other appeared to be a newly reported one.     

Mapping of QTLs for leaf developmental behavior in rice (Oryza sativa L.)

Leaf developmental behavior in rice (Oryza sativa L.) is one of the important agronomic characteristics, which not only determines vegetative growth but also influences grain yield. This study was conducted to identify quantitative trait loci (QTLs) for total number of leaves (TNL), days to the emergence of flag-leaf (DEF) and the leaf emergence rates (LER) on main stem, which mainly represent leaf developmental behavior, using recombinant inbred lines (RILs) derived from a cross between a japonica variety, Asominori and an indica variety, IR24, cultivated in 2001 and 2002. The transgressive segregations in both parental directions and continuous variations of all three tested traits were observed. Significant correlations among these traits were detected. A total of fourteen QTLs for leaf development behavior were detected with 289 RFLP markers. Six QTLs controlling TNL were mapped to chromosomes 3, 5, 6, 8, 9, 12, and accounted for 5.615.7% of the total phenotypic variations, and three QTLs for DEF were mapped to chromosome 3, 6, 8 and accounted for 10.735.4% of total phenotype variation and five QTLs for LER were mapped to chromosome 1(two QTLs), 2, 4, 9 and explained 6.217.5% of phenotype variation. The identification of QTLs for leaf developmental behavior in rice may be useful for selection of fast growing genotype before heading using maker-assisted selection.     

Identification of quantitative trait loci for seed storability in rice (Oryza sativa L.)

In the present study, quantitative trait loci (QTLs) controlling seed storability based on relative germination rate (%) were dissected using a saturated linkage map and a recombinant inbred lines (RILs) derived from a cross of japonica cultivar Asominori (Oryza sativa L.) and indica cultivar IR24 (Oryza sativa L.). A total of three QTLs (qRGR-1, qRGR-3 and qRGR-9) were detected on chromosomes 1, 3 and 9 with LOD score ranging from 3.45 to 6.95 and the phenotypic variance explained from 16.72% to 28.63%. The IR24 alleles were all associated with seed storability at all the three QTLs. The existence of these QTLs was confirmed using IR24 chromosome segment substitution lines (CSSLs) in Asominori genetic background (AIS). By QTL comparative analysis, the QTL, qRGR-9 on chromosomes 9 appeared to be consistent with another rice population, this region may provide an important region for isolating this responsible gene. These results also provide the possibilities of enhancing Seed storability in rice breeding program by marker-assisted selection (MAS) and pyramiding QTLs. Y. Xue and S. Q. Zhang—joint first authors.     

SSR analysis of chromosome 8 regions associated with aroma and cooked kernel elongation in Basmati rice

Aroma and cooked kernel elongation (CKE) are the two most important quality traits, which differentiate the highly valued Basmati rice from other rice types. Previous studies on genetic analysis have shown that genes/QTLs for these two traits are linked and present on chromosome number 8. We have evaluated the genetic diversity in 33 rice genotypes representative of the traditional Basmati (TB), cross-bred Basmati derived from indica × Basmati rice crosses and non-Basmati (indica and japonica) rice varieties for chromosome number 8 using 26 SSR markers including a specific marker (SCU-SSR1) for RG28 locus; the results have been compared with whole genome based SSR allelic data. The 26 SSR markers (24 polymorphic and 2 monomorphic) amplified a total of 106 alleles; 21 of these alleles were detected to be unique, present in only one genotype. The number and size of the alleles, and polymorphism information content (PIC) values ranged between 1–8, 87–312 and 0–0.736 bp, respectively. SCU-SSR1 marker amplified a total of three alleles (128, 129 and 130 bp). All the TB varieties except Basmati 217 (129 bp) and 7/13 cross-bred Basmati varieties had the 130 bp allele. Alleles of 129 and 128 bp were present in majority of the indica and japonica varieties, respectively. The average pair-wise Jaccard similarity coefficients for TB, indica and japonica varieties were 0.512, 0.483 and 0.251, respectively. Average similarity coefficient between TB and japonica was higher (0.236) compared to that between TB and indicas (0.150). Genetic relationships as determined by Principal Component Analysis (PCA, NTSYS-pc), PowerMarker tree, and Structure analyses, clearly showed high-level differentiation between TB and indica rice varieties, which formed two distinct clusters. The cross-bred Basmati and japonica rice genotypes were placed between these two clusters. Basmati 217 and Ranbir Basmati were quite divergent from rest of the TB varieties. Some of cross-bred Basmati varieties including Super, CSR30 and kernel were closer to TB. Indica rice varieties, CSR10 (salt tolerant variety) and Pokkali (salt tolerant landrace) formed a separate distinct cluster. The Pritchard structure analysis divided the rice genotypes in four major sub-populations of TB, cross-bred Basmati, indica and japonica (including Ranbir Basmati and Basmati 217) rice varieties. Chromosome 8 data-set showed a positive correlation (Mantel test, r = 0.739) with the allelic data-set for 30 SSR markers well-distributed on 12 rice chromosomes indicating a higher level of similarity between the two. The study demonstrates the distinctness of TB from other rice types (indica and japonica) and also provides several novel markers for differentiation between TB rice supplies from cheaper cross-bred Basmati and long-grain non-Basmati varieties at commercial level.     

Indica-japonica differentiation in Chinese rice landraces

Summary Ninety Chinese rice landraces were examined with special reference to the indica-japonica differentiation in terms of traditional criteria, isozyme analysis and PCR analysis of the chloroplast DNA (cpDNA). Cultivars were separated into indica and japonica defined by a discriminant function (Z) based on key characters, as well as by isozyme genotypes. Most indica landraces had chloroplast DNAs with a deletion at the Pst-12 fragment, while most japonica landraces had cpDNAs without the deletion. Two traditionally recognized varietal groups in China, keng and hsien, corresponded largely to the respective japonica and indica revealed in our study. The results obtained in this study showed good agreement for classification of indica and japonica types by the three methods: discriminant analysis by Z value, isozyme analysis, and PCR analysis for cpDNA.     

A diversity analysis of genetic resources in rice

Summary A total of 1407 japonica and 488 indica accessions representing nine countries were randomly drawn from the International Rice Research Institute catalog of germ plasm resources for an analysis of diversity. The qualitative gene frequencies as well as means and coefficients of variation for quantitative traits for each race and country in general confirmed the widely recognized pattern of indica-japonica differentiation but suggested more overlap than often realized. Use of a diversity index showed indica to be more variable than japonica, but with different countries having similar levels of diversity. A multivariate analysis based on 39 characters showed divergence among countries within each race but with a great amount of overlap in the scatter of individual entries. This study was carried out simply to illustrate some genetic resource analyses and it is therefore discussed in relation to the documentation aspects.     

QTLs identification of crude fat content in brown rice and its genetic basis analysis using DH and two backcross populations

Fat content is a concern for the enhancement of rice for eating, cooking, and storage qualities. To clarify its genetic mechanism, a double haploid (DH) population derived from anther hybrid F₁ of Zhenshan 97B (indica) and Wuyujing 2 (japonica) and two backcross F₁ (BCF₁) populations, which came from the DH lines backcrossing to two parents, were used to scan quantitative trait loci (QTLs) and dissect gene effects for the crude fat content (CFC) in brown rice. Fourteen QTLs were resolved, distributing on chromosomes 1, 3, and 5–9. Three loci were detected repeatedly in two populations, DH or BCF₁. Among these loci, a major QTL, qCFC5, flanking markers RM87 and RM334, was located on chromosome 5, which was detected simultaneously among three populations. The main QTLs had a major role in controlling CFC in brown rice and were modified by several mini-effect QTLs and epistatic affection. Wenjun Liu and Jing Zeng are contributed equally to this paper.     

A major QTL associated with cold tolerance at seedling stage in rice (Oryza sativa L.)

Chilling injury is one of the most important limiting factors affecting rice production in temperate and high-elevation areas. In this study, 146 microsatellite markers were employed to identify quantitative trait loci (QTL) conferring cold tolerance at seedling stage (CTS) .The mapping population consisted of 193 doubled haploid (DH) lines, which derived from a cross between a cold-tolerant japonica variety (AAV002863) and a cold-sensitive indica cultivar (Zhenshan97B). Tolerance to cold was assessed by the survival percentage of seedlings after cold treatment. In a climate chamber, after treatment at 6°C/10°C for 7 d, the measurement was taken on the sixth day of the recovery stage at room temperature. The phenotypic distribution of the DH population approximately fitted normality with skewness and kurtosis less than 0.3, and the difference among the three repetitions was not significant. Five main effect QTLs were identified with LOD > 4.0 on chromosomes 1, 2, 8 using a composite interval mapping approach. The accumulated contribution of the five QTLs was 62.28%, and a major QTL (LOD = 15.09) was identified on chromosome 2 flanked by RM561 and RM341, which explained 27.42% of the total phenotypic variation. Four significant epistatic interactions were also detected with a total contribution of 20.14%. Liang Chen and Qiaojun Lou had made the equal contribution for the research.     

RFLP facilitated analysis of tiller and leaf angles in rice (Oryza sativa L.)

Plant type is an important composite trait associated with the yield potential in rice and other cereal crops. Several characters associated with the plant type of modern rice cultivars including tiller angle, leaf and flag leaf angle, were investigated using a complete linkage map with 115 well distributed RFLP markers and progeny testing of 2418 F₂ derived F₄ lines from a cross between O. sativa ssp. japonica cv. ‘Lemont’ and spp. indica cv. ‘Teqing’. One major gene (Ta) and 11 QTLs were largely responsible for the tremendous variation of the three plant type characters in the Lemont/Teqing F₂ population. The major gene, Ta, located between RZ228 and RG667 on chromosome 9, accounted for 47.5% of the phenotypic variation in tiller angle and had large pleiotropic effects on both leaf and flag leaf angles. This gene plus four QTLs accounted for 69.1% of the genotypic variation in tiller angle. Eight additional QTLs for leaf and flag leaf angles were also identified, which collectively explained 52.0 and 66.4% of the genotypic variation of these traits. Ta and three QTLs ( QFla2, QFla5 and QFla7) apparently affected the related plant type characters differently, suggesting their possible differential expression in different developmental stages of rice plants or possibly clustering of different genes affecting these traits. Plant type, and consequently grain yield of rice, may be improved by deliberately manipulating these QTLs in a marker-assisted selection program. This revised version was published online in July 2006 with corrections to the Cover Date.     

Mapping QTLs of traits contributing to yield and analysis of genetic effects in tetraploid cotton

Fiber yield and yield components – including lint index (LI), seed index (SI), lint yield (LY), seed cotton yield (SCY) and number of seeds per boll (NSPB) – were investigated on the farm of Huazhong Agricultural University in a population of 69 F₂ individuals and corresponding F_2:3 families derived from a cross between high-fiber-yield Gossypium hirsutum CV Handan 208 and a low-fiber-yield Gossypium barbadense CV Pima 90. On the basis of the genetic map constructed previously from the same population by Lin et al. (Plant Breed., 2005), quantitative trait locus (QTL) analysis was performed with the software QTL Cartographer V2.0 using composite interval mapping method (LOD ≥ 3.0). A total of 21 QTLs were identified, which were located in 15 linkage groups. The number of QTLs per trait ranged from one to seven. Of these QTLs detected, one affecting LI explained 24.3% of phenotypic variation (PV), five influencing SI explained 16.15–39.21% of PV, seven controlling LY explained 13.01–28.35% of PV, and two controlling SCY explained 22.76 and 39.97% of PV, respectively. Simultaneously, the detected six QTLs for NSPB were located on five linkage groups, which individually explained 28.01–38.32% of the total phenotypic variation. The results would give breeders further insight into the genetic basis of fiber yield.     

Detection and analysis of QTLs for ferrous iron toxicity tolerance in rice, Oryza sativa L.

A mapping population of 96 BC₁F₉lines (Backcross Inbred Lines: BILs),derived by a single-seed descent method rom a backcross of Nipponbare (japonica) / Kasalath (indica // Nippon are, was used to detect quantitative trait loci (QTLs) for leaf bronzing index (LBI), stem dry weight (SDW), tiller number (TN) and root dry weight (RDW) under Fe²⁺ stress condition in rice. Two parents and 96 BILs were phenotyped for the traits by growing them in Fe²⁺ toxicity nutrient solution. A total of four QTLs were detected on chromosome 1 and 3, respectively, with LOD of QTLs ranging from 3.17 to 7.03. One QTL controlling LBI, DW, N and RDW was located at the region of C955-C885 on chromosome 1, and their contributions to whole variation were 20.5%, 36.9%, 43.9% and 38.8%,respectively. The QTL located at the region of C955-C885 on chromosome 1 may be important to ferrous iron toxicity tolerance in rice. Another QTL for SDW and RDW was located at the region of C25-C515 on chromosome 3, with respective contributions of 47.9% and 35.0% to whole variation. Further, two QTLs on chromosome 1 were located for RDW at the region of R2329-R210 and for TN at the region of R1928-C178. Comparing with the other mapping results, the QTL located at the region of C955-C885 on chromosome 1 was identical with the results reported previously. There is a linkage between a TL detected under Fe²⁺ stress condition for stem and root dry weight and a QTL detected under phosphorus-deficiency condition for dry weight on chromosome 3. This revised version was published online in July 2006 with corrections to the Cover Date.     

Mapping of quantitative trait loci (QTLs) for rice protein and fat content using doubled haploid lines

Rice protein content (RPC) and rice fatcontent (RFC) are two important componentsof rice nutritional quality. In order toexamine the genetic basis of these traits,a doubled haploid (DH) population and anRFLP linkage map consisting of 232 markerloci were used to search QTLs for thetraits with the computer programQTLMapper1.0. This program is based onmixed linear models and allows simultaneousmapping of both main-effect and digenicepistastic QTLs in a DH population. RPC andRFC were evaluated based on a dry weightbasis of head rice by the Kjeldahl andSoxhlet methods respectively. A total offive main-effect QTLs for RPC wereresolved. The five QTLs collectivelyexplained 74% of the phenotypic variationwith LOD=15.2. Among these QTLs, the majorQTL qRPC-5 with the largest effectwas mapped in the interval of RG435-RG172aon chromosome 5. It accounted for 35% ofthe phenotypic variation with a LOD of16.7. At this locus the allele from theparent `Gui 630' increased RPC by 1.32%.The second QTL qRPC-7 was mapped inthe interval ZG34B-G20 on chromosome 7. Itexplained 23% of the phenotypic variancewith a LOD of 6.1. Its positive alleles,also from the parent `Gui 630', increasedRPC by 1.05%. As for the remaining threeQTLs, their additive effects wererelatively small and their positive alleleswere all inherited from the parent `02428'.Three QTLs for RFC were mapped onchromosome 1, 2 and 5 respectively. Theycollectively explained 44% of thephenotypic variation. Among these loci,QTLs qRFC-2 and qRFC-5 withlarger effects individually accounted for24% and 26% of the phenotypic variancerespectively. At QTL qRFC-2 thepositive allele came from the parent `Gui630', while at QTL qRFC-5 thepositive allele from the parent `02428'.The fact that both parents possess thepositive alleles at the QTLs for the twotraits provides an appropriate explanationfor the large transgressive segregationobserved in the DH lines. Furthermore, onlyone pair of epistatic loci explaining only5.1% of the phenotypic variance wasdetected for RPC, whereas seven pairs ofepistatic loci were resolved for RFC. Thetotal absolute effects of these RFCinteractions amounted to 0.97% which ismuch larger than that (0.42%) of the threemain-effect QTLs for the trait. Alongwith the observation that RPC showed a highheritability (78%), these resultsdemonstrate that RPC in the DH populationcould be mainly controlled by relativelyfew QTLs with large main-effects. As forRFC, epistatic interactions might be aneven more important component of thegenetic basis and the segregation of the DHlines could be largely explained by a fewmain-effect QTLs and many epistatic loci.In addition, a highly negative correlation(r = –0.45) between RPC and RFC inthe DH population was observed. Thiscorrelation could be largely explained bythe linkage of qRPC-5 and qRFC-5 with the directions of effectsopposite and the co-locations of the twoepistatic loci for RFC respectively withtwo different main-effect QTLs for RPC. Theinformation reported in the present papermay be useful for improving ricenutritional quality by means ofmarker-assisted selection.     

Identification of quantitative trait loci for Cd and Zn concentrations of brown rice grown in Cd-polluted soils

Low grain cadmium (Cd) and high grain zinc (Zn) rice cultivars have become the current rice breeding objectives. However, the genetic control of Cd and Zn concentrations in brown rice remains poorly understood, especially when grown in Cd-contaminated soil. In this study, quantitative trait loci (QTLs) associated with grain Cd and Zn concentrations and Cd/Zn ratio were identified using a doubled haploid population derived from a cross between japonica JX17 and indica ZYQ8 rice cultivars. Three and two QTLs were detected for Cd and Zn concentration in brown rice, respectively. Two QTLs associated with grain Cd/Zn ratio on chromosomes 3 and 6 were initially mapped. These QTLs accounted for 10.83–41.66% of the total variance of the three traits measured. Only one common locus on chromosome 6 was found for Cd concentration and Cd/Zn ratio. The lack of co-location of the QTLs for Cd and Zn concentrations in this mapping population suggests different genetic mechanisms. In summary, our results provide insight into the genetic basis of rice grain Cd and Zn accumulation; the isolated QTLs may be useful for marker-assisted selection and identification of genes associated with Cd and Zn accumulation in rice.     

The indica-japonica classification of Asian rice ecotypes and Japanese lowland and upland rice (Oryza sativa L.)

Summary Rice cultivars (Oryza sativa L.) belonging to five ecotypes (aus, aman, boro, bulu and tjereh) and to two groups of Japanese rice (lowland and upland) are examined with respect to KClO₃ resistance, phenol reaction and apiculus hair length. These characters have been used as available criteria to classify rice into two types indica and japonica, for the last thirty years.The findings of this study are that the aman, boro and tjereh ecotypes should be classified as typical indica; and that the Japanese lowland rice cultivars are mainly typical japonica. Some of the aus, bulu and Japanese upland rice cultivars differ from typical indica and typical japonica, so the respective terms aus type, bulu type and J.u.r. type, are proposed. Aman, boro tjereh and Japanese lowland rice are cultivated in lowland. Some of the aus, bulu and Japanese upland rice cultivars have the characteristics of upland rice. In general, lowland rice cultivars can be clearly classified into indica or japonica, while upland cultivars cannot.Abbreviations Aph dominant gene for apiculus hair length > 0.7 mm - aph recessive gene for apiculus hair length < 0.7 mm - J.u.r. type Japanese upland rice type     

QTL for rice grain quality based on a DH population derived from parents with similar apparent amylose content

A doubled haploid (DH)population consisting of 135 lines, derived from an indica (IR64) and a japonica (Azucena) rice with a similar apparent amylose content (AAC), was used to investigate the genetic factors affecting cooking and eating quality of rice. AAC,gelatinization temperature (GT), gel consistency (GC) and six starch pasting viscosity parameters were measured for quantitative trait loci (QTL) analysis using 193 molecular markers mapped on the DH population. A total of 17 QTLs were detected for the 9 traits, with at least one QTL and as many as 3 QTLs for each individual trait. No QTL for the measured parameters was found at the wx locus,possibly because of the similar AAC between the parents. Several QTLs with important effects on the variations in the measured parameters were detected in the present study which have not been found in earlier reports based on populations derived from parents with different AAC and wxgene alleles. Two interesting loci could be deduced from the present study according to the marker order compared with other genetic linkage maps. A QTL flanked by Amy2A and RG433 on the end of the long arm of chromosome 6, identified for GT, set back and consistency viscosity, might cover the gene encoding starch branching enzyme I. Similarly, a QTL flanked by RG139 and RZ58on chromosome 2, detected for hot paste viscosity and breakdown viscosity, might cover the gene encoding starch branching enzyme III. Generally, traits significantly correlated with each other shared identical QTL, but it was not true in some cases. The fine molecular mechanisms underlying these traits await further elucidation for the improvement of eating and cooking quality of rice. This revised version was published online in August 2006 with corrections to the Cover Date.     

Identification of Quantitative Trait Loci Associated with Aluminum Tolerance in Rice (Oryza Sativa L.)

Summary Quantitative trait loci (QTL) analysis for Al tolerance was performed in rice using a mapping population of 98 BC₁F₁₀ lines (backcross inbred lines: BILs), derived from a cross of Al-tolerant cultivar of rice (Oryza sativa L. cv. Nipponbare) and Al-sensitive cultivar (cv. Kasalath). Three characters related to Al tolerance, including root elongation under non-stress conditions (CRE), root elongation under Al stress (SRE) and the relative root elongation (RRE) under Al stress versus non-stress conditions, were evaluated for the BILs and the parents at seedling stage. A total of seven QTLs for the three traits were identified. Among them, three putative QTLs for CRE (qCRE-6, qCRE-8 and qCRE-9) were mapped on chromosomes 6, 8 and 9, respectively. One QTL for SRE (qSRE-4) was identified on chromosome 4. Three QTLs (qRRE-5, qRRE-9 and qRRE-10) for RRE were detected on chromosomes 5, 9, 10 and accounted for 9.7–11.8% of total phenotypic variation. Interestingly, the QTL qRRE-5 appears to be syntenic with the genomic region carrying a major Al tolerance gene on chromosome 6 of maize. Another QTL, qRRE-9, appears to be similar among different rice populations, while qRRE-10 is unique in the BIL population. The common QTLs for CRE and RRE indicate that candidate genes conferring Al tolerance in the rice chromosome 9 may be associated with root growth rates. The existence of QTLs for Al tolerance was confirmed in substitution lines for corresponding chromosomal segments. These results also provide the possibilities of enhancing Al tolerance in rice through using marker-assisted selection (MAS) and pyramiding QTLs.     

Fingerprinting temperate <Emphasis Type="Italic">japonica</Emphasis> and tropical <Emphasis Type="Italic">indica</Emphasis> rice genotypes by comparative analysis of DNA markers

This paper describes the relative efficiency of three marker systems, RAPD, ISSR, and AFLP, in terms of fingerprinting 14 rice genotypes consisting of seven temperatejaponica rice cultivars, three indica near-isogenic lines, three indica introgression lines, and one breeding line of japonica type adapted to high-altitude areas of the tropics with cold tolerance genes. Fourteen RAPD, 21 ISSR, and 8 AFLP primers could produce 970 loci, with the highest average number of loci (92.5) generated by AFLP. Although polymorphic bands in the genotypes were detected by all marker assays, the AFLP assay discriminated the genotypes effectively with a robust discriminating power (0.99), followed by ISSR (0.76) and RAPD (0.61). While significant polymorphism was detected among the genotypes of japonica and indica through analysis of molecular variance (AMOVA), relatively low polymorphism was detected within the genotypes of japonica rice cultivars. The correlation coefficients of similarity were significant for the three marker systems used, but only the AFLP assay effectively differentiated all tested rice lines. Fingerprinting of backcross-derived resistant progenies using ISSR and AFLP markers easily detected progenies having a maximum rate of recovery for the recurrent parent genome and suggested that our fingerprinting approach adopting the ‘undefined-element-amplifying’ DNA marker system is suitable for incorporating useful alleles from the indica donor genome into the genome of temperate japonica rice cultivars with the least impact of deleterious linkage drag.