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.     

QTL analysis of seed dormancy in rice (Oryza sativa L.)

Effective cumulative temperature (ECT) after heading would be a more reasonable parameter for seed sampling of pre-harvest sprouting/seed dormancy (SD) tests in segregating populations than the days after flowering. SD is an important agronomic trait associated with grain yielding, eating quality and seed quality. To identify genomic regions affecting SD at different grain-filling temperatures, and to further examine the association between SD and ECT during grain-filling, 127 double haploid (DH) lines derived from a cross between ZYQ8 (indica)/JX17 (japonica) by anther culture were analyzed. The quantitative trait loci (QTLs) and their digenic epistasis for SD were identified using a molecular linkage map of this population. A total of four putative QTLs for SD (qSD-3, qSD-5, 6 and 11) were detected on chromosomes 3, 5, 6 and 11, together explaining 41.4% of the phenotypic variation. Nine pairs of digenic epistatic loci were associated with SD on all but chromosome 9, and their contributions to phenotypic variation varied from 2.87%–8.73%. The SD QTL on chromosome 3 was identical to the QTLs found in other mapping populations with different genetic backgrounds, which could be a desirable candidate for gene cloning and marker-assisted selection in rice breeding.     

Identification of QTLs controlling quantitative characters in rice using RFLP markers

Summary Segregation of plant height (PH), tiller number (TN), panicle number (PN), average panicle length per plant (PL), average primary branch number per panicle per plant (PBN) and 1000 grain weight (1000G) were specific in an F₂ population derived from a cross of Palawan, a tall Javanica variety, and IR42, an Indica semidwarf variety. One hundred and four informative RFLP markers covering all 12 chromosomes were used for detecting putative QTLs controlling the traits. Orthogonal contrasts and interval mapping analysis were used for the analysis. QTL detected for PH on the region of chromosome 1, where semidwarfing gene sd-1 locus is located, seems to be a multiple allelic locus. An additional QTL for PH was identified on chromosome 2. Two QTLs for TN were detected on chromosomes 4 and 12. The QTL on chromosome 4 seemed also to govern the variation in PN. Four QTLs were found for the other traits, two of them for PL were located on chromosomes 6 and 2, one for PBN on chromosome 6 and the other for 1000G on chromosome 1. Additive gene actions were found to be predominant, except one QTL for PH and one QTL for PL, but partial or incomplete dominance also existed for the QTLs detected.     

Genetic analysis and QTL mapping of oil content and seed index using two recombinant inbred lines and two backcross populations in Upland cotton

Cottonseed is one of the main by‐products of cotton. To explore the genetic composition of oil content (OC) and seed index (SI) is helpful for utilizing the cottonseed. Under multiple environmental conditions, the genetic structures of OC and SI were explored using two recombinant inbred lines (RILs) and corresponding backcross (BC) populations in Upland cotton. Twenty‐four and 31 quantitative trait loci (QTLs) for OC and SI, respectively, were detected using composite interval mapping, in which 9 QTLs for OC and 18 QTLs controlling SI were simultaneously identified in more than two environments or two populations. Forty‐seven and 37 QTLs with main effects (M‐QTLs) for OC and SI and 114 and 74 QTLs involved in digenic interactions (E‐QTLs), respectively, identified by inclusive composite interval mapping. On average, the E‐QTLs explained a larger portion of the phenotypic variation than the M‐QTLs did. It was concluded that additive effects of single‐locus and epistasis derived from complementary loci with few detectable single‐locus effects played an important role in oil content and seed index in Upland cotton.     

Validating a segment on the short arm of chromosome 6 responsible for genetic variation in the hull silicon content and yield traits of rice

Rice is a typical silicon-accumulating plant and the beneficial effect of silicon on rice has long been recognized. In a previous study using 244 recombinant inbred lines (RILs) of an indica rice cross, Zhenshan 97B/Milyang 46 grown in 2003, four QTLs were detected for hull silicon content. QTL qHUS-6 had the largest effect among these, and the same interval also had significant effects on yield traits in the same population. The primary objective of this study was to validate the QTL effect in this region on HUS and yield traits. The same RIL population and another RIL population of lower heterogeneity were grown in 2004. QTL qHUS-6 was found to have significant additive effects on hull silicon content with a consistent direction in the two populations. From a residual heterozygous line selected from RILs of the same cross, 15 F_2:3 lines that differed only in a 2.15-Mb segment extending from RM587 to RM6119 on the short arm of chromosome 6 were derived. In these lines, qHUS-6 displayed a major effect, so did QTLs for yield traits previously detected in the same region. Two more QTLs for HUS detected in 2003, qHUS-1-1 and qHUS-1-2, also had consistent effects in the Zhenshan 97B/Milyang 46 RIL population in 2004. Thus this study verified three candidate regions for fine mapping HUS QTLs and determining the genetic relationship between silicon content and yield traits in rice.     

利用9311来源的粳型染色体片段代换系定位控制稻米糊化温度的微效QTL

糊化温度(gelatinization temperature, GT)是评价稻米蒸煮与食味品质的重要因素之一, 除受一主效基因控制外, 还受多个微效基因的影响。本研究利用粳稻品种日本晴和籼稻品种9311作为受体和供体来源的一套染色体片段代换系为研究对象, 于2010-2011年连续2年分别于2个环境内种植, 测定各株系稻米的糊化温度(碱消值), 利用t测验与轮回亲本比较。结合高通量重测序技术鉴定各代换系的基因型, 以一年两地检出的极显著差异位点作为一个QTL, 共检测到4个控制GT的微效QTL, 即qGT2-1、qGT7-1、qGT8-1和qGT12-1, 分别位于第2、7、8和12号染色体上。加性效应分析结果显示, 4个QTL的效应值均为负值, 表明来自籼稻品种9311的这4个片段对碱消值的效应均为负效应。其中qGT7-1和qGT12-12个QTL在2年4个环境均被检测到, 遗传效应的趋势也一致, 加性效应贡献率为11.31%~28.95%。以受体亲本碱消值差异最大的代换系N53株系及亲本为材料, 对稻米淀粉精细结构进行分析, 推测支链淀粉中短链含量的减少可能会引起GT的升高。上述结果为进一步精细定位和克隆相应QTL及开展稻米品质改良的分子育种奠定了基础。     

Genetic dissection of seed storability using two different populations with a same parent rice cultivar N22

Seed storability in rice (Oryza sativa L.) is an important agronomic trait. Two segregating populations with N22 (indica) as a common parent, viz. a set of 122 backcross-inbred lines (BILs) derived from the backcross Nanjing35 (japonica)/N22//Nanjing35 and another population comprising 189 recombinant inbred lines (RILs) from the cross of USSR5 (japonica) and N22, were studied to detect quantitative trait loci (QTL) controlling seed storability. Germination percentage (GP) was used to evaluate seed storability after aging treated under three different conditions, viz. natural, artificial and combined aging treatments. A total of seven QTLs were identified on chromosomes 1, 2, 5, 6 and 9. Among them, a major QTL, qSSn-9, was common in the two populations. In contrast, four QTLs (qSSnj-2-1, qSSn-2-2, qSSn-5 and qSSn-6) were detected in BILs and the QTL qSSn-1 was identified in RILs, which was a new QTL for seed storability. The N22-derived alleles increased the seed storability at all the loci except qSSnj-2-1. We also investigated the effect of QTLs using five selected lines with high storability from BILs and verified qSSn-5 with a near-isogenic line (NIL). These results provide an opportunity for pyramiding or map-based cloning major QTLs for seed storability in rice.     

Localization of QTL for basal root thickness in <Emphasis Type="Italic">japonica</Emphasis> rice and effect of marker-assisted selection for a major QTL

Root traits are key components of plant adaptation to drought environment. By using a 120 recombined inbred lines (RILs) rice population derived from a cross between IRAT109, a japonica upland rice cultivar and Yuefu, a japonica lowland rice cultivar, a complete genetic linkage map with 201 molecular markers covering 1,833.8 cM was constructed and quantitative trait loci (QTLs) associated with basal root thickness (BRT) were identified. A major QTL, conferring thicker BRT, located on chromosome 4, designated brt4, explained phenotypic variance of 20.6%, was selected as target QTL to study the effects of marker-assisted selection (MAS) using two early segregating populations derived from crosses between IRAT109 and two lowland rice cultivars. The results showed that the flanking markers of brt4 were genetically stable in populations with different genetic backgrounds. In the two populations under upland conditions, the difference between the means of BRT of plants carrying positive and negative favorable alleles at brt4 flanking markers loci was significant. Phenotypic effects of BRT QTL brt4 were 5.05–8.16%. When selected plants for two generations were planted at Beijing and Hainan locations under upland conditions, MAS effects for BRT QTL brt4 were 4.56–18.56% and 15.46–26.52% respectively. The means of BRT for the homozygous plants were greater than that of heterozygous plants. This major QTL might be useful for rice drought tolerance breeding. L. Liu and P. Mu are contributed equally to this work.     

Through the genetic bottleneck: O. rufipogon as a source of trait-enhancing alleles for O. sativa

This paper summarizes results from a decade of collaborative research using advanced backcross (AB) populations to a) identify quantitative trait loci (QTL) associated with improved performance in rice and to b) clone genes underlying key QTLs of interest. We demonstrate that AB-QTL analysis is capable of (1) successfully uncovering positive alleles in wild germplasm that were not obvious based on the phenotype of the parent (2) offering an estimation of the breeding value of exotic germplasm, (3) generating near isogenic lines that can be used as the basis for gene isolation and also as parents for further crossing in a variety development program and (4) providing gene-based markers for targeted introgression of alleles using marker-assisted-selection (MAS). Knowledge gained from studies examining the population structure and evolutionary history of rice is helping to illuminate a long-term strategy for exploiting and simultaneously preserving the well-partitioned gene pools in rice.     

Identification of quantitative trait loci (QTLs) for the characters of vascular bundles in peduncle related to indica-japonica differentiation in rice (Oryza sativa L.)

The number of vascular bundles in peduncle and the ratio of vascular bundles to primary rachis branches (V/R ratio)distinguishable between indica andjaponica, are the traits associated with the processes of differentiation between indica and japonica inrice (Oryza sativa L.). In this paper a doubled-haploid population derived from the F₁ hybrid of a cross between anindica cultivar and a japonicacultivar was used to map quantitative trait loci(QTLs) controlling numbers of vascular bundles in peduncle, primary rachis branches and the V/R ratio. For vascular bundles, three QTLs were detected and they collectively explained 58.8% of the total variation. Among them, the QTLqVB-8 with the largest effect,located on chromosome 8, individually accounted for 31.1% of the total variation. Two QTLs controlling primary rachis branches, located on chromosome 8and 10 respectively, were identified and they individually explained 10.5% and18.0% of the total variation respectively. Three QTLs for the V/R ratio, mapped on chromosome 1, 2 and 8, respectively,jointly explained 61.3% of the total variation. Of the three QTLs, the QTL qV/R-1 with the largest additive effect,explained 25.3% of the total variation,was located on chromosome 1 and found to be closely linked to the gene sh-2, a major gene underlying grain-shattering ability. In addition, four and two pairs of significant epistatic QTLs were detected for vascular bundles and the V/R ratio,respectively, but none for rachis branches. Our results suggested that the numbers of vascular bundles and primary rachis branches were independently controlled by different polygenic systems, but the two polygenic systems shared a fraction of quantitative trait loci. The present study also demonstrated that the chromosome region carrying the QTL qV/R-1 for the V/R ratio and the gene sh-2 might play an important role in the processes ofindica-japonica differentiation in rice (Oryza sativa L.). This revised version was published online in August 2006 with corrections to the Cover Date.     

不同环境条件下稻米组氨酸和精氨酸的胚乳和母体植株QTL分析

利用汕优63重组自交系与双亲回交产生的BC1F1和BC2F1群体,采用新发展的包括环境互作效应在内的多遗传体系QTL作图方法和基因定位软件,对稻米两种半必需氨基酸（组氨酸和精氨酸）进行三倍体胚乳和二倍体母体植株等不同遗传体系的QTL定位分析。共检测到10个控制组氨酸含量的QTL以及8个控制精氨酸含量的QTL。全部QTL均具有极显著的三倍体胚乳和二倍体母体植株基因的加性主效应,其中4个QTL具有显著或极显著的三倍体胚乳显性主效应,7个QTL还具有明显的环境互作效应。     

Identification of QTLs controlling rice drought tolerance at seedling stage in hydroponic culture

‘Drought avoidance’ and ‘drought tolerance’ are two mechanisms by which plants adapt under water stress. These mechanisms are difficult to evaluate separately in field experiments. Using hydroponic culture, we studied the genetic control of drought tolerance in rice (Oryza sativa L.) without the effect of drought avoidance. A backcross inbred population of ‘Akihikari’ (lowland cultivar) × ‘IRAT109’ (upland cultivar) with 106 lines was cultured with (stressed condition) and without (non-stressed condition) polyethylene glycol (PEG) at seedling stage. The relative growth rate (RGR), specific water use (SWU), and water use efficiency (WUE) showed significant genotype × environment interactions with or without PEG, indicating that each line responded differently to water stress. A quantitative trait locus (QTL) analysis revealed that these interactions were QTL specific. A total of three QTLs on chromosomes 2, 4, and 7 were detected for RGR. The QTL on chromosome 7 had a constant effect across environments, while the QTL on chromosome 4 had an effect only under non-stressed condition and that on chromosome 2 only under stressed condition. The stress-specific QTL on chromosome 2 was not co-located with any QTLs for root system depth previously reported from the same mapping population. However, this QTL was co-located with a stress-specific QTL for SWU, suggesting that the control of transpiration was relevant to dry matter production under drought. We concluded that PEG-treated hydroponic culture is very effective for use in genetic analyses of drought tolerance at seedling stage.     

Association analysis using SSR markers to find QTL for seed protein content in soybean

Association analysis studies can be used to test for associations between molecular markers and quantitative trait loci (QTL). In this study, a genome-wide scan was performed using 150 simple sequence repeat (SSR) markers to identify QTL associated with seed protein content in soybean. The initial mapping population consisted of two subpopulations of 48 germplasm accessions each, with high or low protein levels based on data from the USDA’s Germplasm Resources Information Network website. Intrachromosomal LD extended up to 50 cM with r ² > 0.1 and 10 cM with r ² > 0.2 across the accessions. An association map consisting of 150 markers was constructed on the basis of differences in allele frequency distributions between the two subpopulations. Eleven putative QTL were identified on the basis of highly significant markers. Nine of these are in regions where protein QTL have been mapped, but the genomic regions containing Satt431 on LG J and Satt551 on LG M have not been reported in previous linkage mapping studies. Furthermore, these new putative protein QTL do not map near any QTL known to affect maturity. Since biased population structure was known to exist in the original association analysis population, association analyses were also conducted on two similar but independent confirmation populations. Satt431 and Satt551 were also significant in those analyses. These results suggest that our association analysis approach could be a useful alternative to linkage mapping for the identification of unreported regions of the soybean genome containing putative QTL.     

利用MR1523/苏御糯F_(2:3)群体定位水稻抗灰飞虱QTL

灰飞虱是我国水稻生产的主要害虫之一,不仅直接取食危害水稻,还是水稻主要病毒病的传播介体,严重制约水稻生产。籼稻品种MR1523对灰飞虱表现较强的排趋性。为发掘抗灰飞虱新基因,本研究利用MR1523与感虫粳稻品种苏御糯构建了一个包含200个家系的F2:3分离群体,进行灰飞虱抗性鉴定。并利用120对均匀分布在水稻12条染色体的多态性SSR标记,构建了全基因组连锁图谱,进行抗灰飞虱QTL定位。结果分别在水稻第2、第5和第6染色体上检测到Qsbph2、Qsbph5a、Qsbph5b和Qsbph6 4个抗灰飞虱QTLs,分别位于分子标记RM526–RM3763、RM17804–RM13、RM574–RM169和RM190–RM510之间,LOD值分别为2.14、3.13、3.23和2.35,贡献率分别为12.0%、14.7%、17.4%和14.1%,各QTL的抗性等位基因效应均来自抗虫亲本MR1523。该结果为后续抗灰飞虱基因的精细定位及通过分子标记辅助选择培育抗灰飞虱水稻新品种奠定了基础。     

QTL analysis for panicle characteristics in temperate japonica rice

To understand the genetic background of panicle characteristics in temperate japonica rice (Oryza sativa L.), we genetically analyzed DH lines derived from a cross between two temperate japonica rice cultivars, ‘Akihikari’ and ‘Koshihikari’,in 1996 and 1997. Four traits of panicle characteristics, number of primary branches per panicle (NPB), number of secondary branches per panicle (NSB), average number of spikelets on one primary branch (NSP)and average number of spikelets on one secondary branch (NSS), in 212 DH lines were measured, and the interval mapping of QTLs for these traits was carried out using169 DNA markers with an LOD threshold of2.5. Five, three and one putative QTLs for NPB, NSB and NSS were identified,respectively, and no QTLs relating to NSP appeared. The percentages in total phenotypic variation explained by all putative QTLs for NPB were 35.5%: and43.8% in 1996 and 1997, respectively. All putative QTLs for NSB accounted for 35.5%and 27.5% of total phenotypic variation in1996 and 1997, respectively. The QTLs identified in this study will be useful intemperate japonica rice breeding for improved spikelet yield. This revised version was published online in August 2006 with corrections to the Cover Date.     

不同环境中甘蓝型油菜种皮木质素含量的QTL定位

以甘蓝型黄籽油菜GH06和甘蓝型黑籽油菜中油821为亲本杂交,后代通过“一粒传法”连续自交7代构建重组自交系,2007年分别在重庆市北碚区和万州区2个试验基地种植重组自交系群体,利用本实验室已构建的遗传连锁图谱和复合区间作图法(CIM),对种皮木质素含量进行测定及QTL定位分析。结果在2个环境中共检测到12个种皮木质素含量相关的QTL,分别位于4个不同的连锁群,单个QTL可解释性状表型变异的4.50%~8.79%;在第3连锁群上检测到1个QTL与同一标记EM19ME23/130连锁,其余10个QTL位置不同;在北碚检测到的QTL主要分布于第20连锁群,在万州检测到的QTL主要位于第3连锁群;部分种皮木质素的QTL与种胚类黄酮和种皮色泽的QTL位于相近区间,在北碚和万州种皮木质素含量与种胚类黄酮存在极显著和显著正相关关系。结果表明甘蓝型油菜种皮木质素含量表现为多基因控制的数量性状,基因表达受环境影响较大;油菜种皮木质素合成和类黄酮的积累可能受相同关键基因调控或者具有部分相同的合成代谢途径。     

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.     

Detection of quantitative trait locus for leaffolder (Cnaphalocrocis medinalis (Guenée)) resistance in rice on linkage group 1 based on damage score and flag leaf width

Rice leaffolder (RLF) (Cnaphalocrocis medinalis (Guenée) is a destructive and widespread insect pest throughout the rice growing regions in Asia. The genetics of resistance to RLF in rice is very complex and not thoroughly explored. The present study was conducted to detect the quantitative trait loci (QTL) associated with RLF resistance involving 176 recombinant inbred lines (RILs) of F₈ generation derived from a cross between IR36, a leaffolder susceptible variety and TNAULFR831311, a moderately resistant indica rice culture. Simple sequence repeat (SSR) markers were used to construct specific linkage groups of rice. All the RILs were screened to assess their level of resistance to RLF by measuring the leaf area damaged. Besides this, the length and width of the flag leaf of each RIL were measured since these two parameters were considered as correlated traits to the RLF resistance in rice. All the above parameters observed across the RILs showed quantitative variation. Correlation analysis revealed that damage score based on greenhouse screening was positively correlated with length and width of the flag leaf. Out of 364 SSR markers analysed, 90 were polymorphic between the parents. Multi-point analysis carried out on segregating 69 SSR marker loci linkage group wise resulted in construction of linkage map with eleven groups of 42 SSR markers. Through single marker analysis, 19 SSR markers were found to have putative association with the three phenotypic traits studied. Of these markers, RM472 was identified as a locus having major effect on RLF resistance trait based on length of the flag leaf. Interval mapping detected two QTLs on linkage group 1. Among these QTLs, the QTL flanked by RM576–RM3412 were found to be associated with width of the flag leaf and RLF resistance. The putative SSR markers associated with leaffolder resistance identified in the present study may be one of the loci contributing resistance to RLF in rice.     

Detection of QTLs to reduce cadmium content in rice grains using LAC23/Koshihikari chromosome segment substitution lines

To advance the identification of quantitative trait loci (QTLs) to reduce Cd content in rice (Oryza sativa L.) grains and breed low-Cd cultivars, we developed a novel population consisting of 46 chromosome segment substitution lines (CSSLs) in which donor segments of LAC23, a cultivar reported to have a low grain Cd content, were substituted into the Koshihikari genetic background. The parental cultivars and 32 CSSLs (the minimum set required for whole-genome coverage) were grown in two fields with different natural levels of soil Cd. QTL mapping by single-marker analysis using ANOVA indicated that eight chromosomal regions were associated with grain Cd content and detected a major QTL (qlGCd3) with a high F-test value in both fields (F = 9.19 and 5.60) on the long arm of chromosome 3. The LAC23 allele at qlGCd3 was associated with reduced grain Cd levels and appeared to reduce Cd transport from the shoots to the grains. Fine substitution mapping delimited qlGCd3 to a 3.5-Mbp region. Our results suggest that the low-Cd trait of LAC23 is controlled by multiple QTLs, and qlGCd3 is a promising candidate QTL to reduce the Cd level of rice grain.     

Development and evaluation of pyramiding lines carrying early or late heading QTLs in the indica rice cultivar ‘IR64’

The heading date is an important trait for determining regional and climatic adaptability in rice. To expand the adaptability of the indica rice cultivar ‘IR64’, we pyramided multiple early or late heading quantitative trait locus (QTLs) in the ‘IR64’ genetic background by crossing previously developed near-isogenic lines (NILs) with a single QTL for early or late heading. The effects of pyramiding QTLs were observed in three different climatic zones of the Philippines, Madagascar, and Japan. The early heading pyramiding lines (PYLs) headed 6.2 to 12.8 days earlier than ‘IR64’ while the late heading PYLs headed 18.8 to 27.1 days later than ‘IR64’. The PYLs tended to produce low grain yield compared to ‘IR64’. The low yield was not improved by combining SPIKE, which is a QTL that increases the number of spikelets per panicle. Conversely, ‘IR64-PYL(7+10)’ carrying Hd5 and Hd1 headed earlier, produced more tillers, and more panicles per m² than ‘IR64’, and mitigated the yield decrease in early heading. These results suggest that the effects of pyramided QTLs on heading date were consistent across various environments and PYLs could be used to enhance the adaptation of ‘IR64’ in other rice growing environments.