Mapping QTLs related to salinity tolerance of rice at the young seedling stage

Using a population of recombinant inbred lines of the 164 genotypes derived from a cross between ‘Milyang 23’ (indica) and ‘Gihobyeo’ (japonica) in rice (Oryza sativa L.), salt tolerance was evaluated at a young seedling stage in concentrations of 0.5% and 0.7% NaCl. Mapping quantitative trait loci (QTLs) related to salt tolerance was carried out by interval mapping using Qgene 3.0. Two QTLs (qST1 and qST3) conferring salt tolerance at young seedling stage were mapped on chromosome 1 and 3, respectively, and explained 35.5–36.9% of the total phenotypic variation in 0.5% and 0.7% NaCl. The favourable allele of qST1 was contributed by ‘Gihobyeo’, and that of qST3 by ‘Milyang 23’. The results obtained in 0.5% and 0.7% NaCl for 2 years were similar in flanked markers and phenotypic variation.     

Inheritacne of submergence tolerance in rice

Summary Inheritance of submergence tolerance in rice (Oryza sativa L.) was investigated in an 8×8 diallel cross. Duration to 50% mortality of the diallel populations (F₁'s + parents) under completely submerged conditions at the seedling stage was used to characterize submergence tolerance instead of the usual submergence survival percentages.A strong prepotency of parents was found in transmitting the character to their offspring. Additive and nonadditive gene effects were highly significant. Parents highly tolerant to submergence also had high gca effects, and F₁'s between two tolerant parents were found to be the most tolerant of the diallel combinations. A high narrow-sense heritability was also observed.The additive-dominance model was found valid for this diallel cross. Submergence tolerance was partially dominant over susceptibility and recessive alleles were more concentrated in the susceptible parents IR42 and IR11288-B-B-69-1.     

Mapping QTLs for aluminum tolerance in maize

Aluminum toxicity is one of the major constraints for plant development in acid soils, limiting food production in many countries. Cultivars genetically adapted to acid soils may offer an environmental compatible solution, providing a sustainable agriculture system. The aim of this work was to identify genomic regions associated with Al tolerance in maize, and to quantify the genetic effects on the phenotypic variation. A population of 168F_3:4 families derived from a cross between two contrasting maize inbred lines for Al tolerance was evaluated using the NSRL and RSRL parameters in nutrient solution containing toxic level of aluminum. Variance analyses indicated that the NSRL was the most reliable phenotypicindex to measure Al tolerance in the population, being used for further QTL mapping analysis. RFLP and SSR markers were selected for bulked segregant analysis, and additional SSR markers, flanking the polymorphisms of interest, were chosen in order to saturate the putative target regions. Seven linkage groups were constructed using 17 RFLP and 34 SSR markers. Five QTLs were mapped on chromosomes 2, 6 and 8, explaining 60% of the phenotypic variation. QTL₄ and marker umc043 were located on chromosomes 8and 5, close to genes encoding for enzymes involved in the organic acids synthesis pathways, a widely proposed mechanism for Al tolerance in plants. QTL₂ was mapped in the same region as Alm2,also associated with Al tolerance in maize. In addition, dominant and additive effects were important in the control of this trait in maize. This revised version was published online in July 2006 with corrections to the Cover Date.     

Mapping QTLs for salt tolerance in an introgression line population between Japonica cultivars in rice

QTL analysis of physiological traits related to salt tolerance was carried out using 117 BC₃F₅ lines derived from a cross between “Ilpumbyeo” as a recurrent parent and “Moroberekan” as a donor parent. The 117 introgression lines with the parents were evaluated for five traits; dry weight, fresh weight, leaf area, seedling height, and survival rate under control and salinity conditions (55 mM) at the seedling stage. To identify QTLs related to salt tolerance, 125 SSR markers showing polymorphisms between the parents were genotyped for the 117 BC₃F₅ lines. A total of eight QTLs were detected on chromosomes 1, 6, and 7. These include two QTLs on chromosomes 6 and 7 for reduction rate of dry weight (R² = 10.2∼13.6%), three QTLs on chromosomes 1, 6, and 7 for reduction rate of fresh weight (R² = 10.9∼13.9 %), two QTLs on chromosomes 1 and 7 for reduction rate of leaf area (R² = 12.1%), and one QTL on chromosome 7 for reduction rate of seedling height (R² = 10.5%). The Moroberekan alleles contributed the positive effect at these eight QTL loci. Although the parents, Ilpumbyeo and Moroberekan, were not salt tolerant as the salt tolerant check variety, Pokkali, some lines displayed a similar level of tolerance as Pokkali. The effect of the QTL on chromosome 7 was further confirmed by evaluating four lines containing the target QTL for fresh and dry weight, turgid weight, and relative water content (RWC). Significant differences between each line and Ilpumbyeo were detected for dry and fresh weight, and RWC values, and these results seem to indicate the beneficial effect of the Moroberekam alleles for salt tolerance. A set of introgression lines are being developed containing only few chromosomal segments from Moroberekan in the Ilpumbyeo background. These would be useful in developing salt tolerant lines in the breeding program.     

水稻黑条矮缩病抗性QTL定位

发掘水稻黑条矮缩病的抗性基因有助于抗病品种的选育,减少黑条矮缩病对水稻生产的危害。本研究构建了包含222个家系的L5494/IR36重组自交系群体。对该群体进行黑条矮缩病的田间诱发鉴定,抗性亲本IR36发病率为28.70%,感病亲本L5494发病率为84.26%,群体发病率范围为11.21%～89.81%。利用134对分子标记构建覆盖12条染色体的遗传连锁图谱,总遗传距离为1475.97 cM,平均标记间距为11.1 cM。利用QTL IciMapping 4.0对抗黑条矮缩病QTL进行分析,共检测到4个QTL,其中第1、第2、第9染色体上QTL的表型贡献率分别为12.64%、16.00%和8.43%,抗病等位基因来自抗病亲本IR36;第6染色体上QTL的表型贡献率为10.82%,抗病等位基因来自感病亲本L5494。在此基础上,利用93-11为供体、日本晴为背景的近等基因系材料,在qRBSDV-1定位区间内检测到来自93-11的抗性QTL。本研究结果为水稻黑条矮缩病抗性基因定位及分子标记辅助选择育种提供借鉴。     

Identification of QTLs for tolerance to hypoxia during germination in rice

Direct seeding of rice as a method of crop establishment is increasingly being adopted by farmers as a means of saving labor and reducing costs. However, the method often results in a poor environment for germination as excessive water levels after seeding can cause poor seedling establishment and a concomitant reduction in yield potential, especially in submergence-prone areas. In this study, we discovered QTLs associated with tolerance of anaerobic germination (AG) in new genetic accessions using genotypic data derived from the Illumina 6K SNP chip. The mapping population developed for QTL analysis comprised 285 F_2:3 plants derived from a cross between Tai Nguyen and Anda. In order to evaluate AG tolerance within the mapping population, phenotyping was carried out under anaerobic conditions for 21 days. Three QTLs associated with AG tolerance were identified in the population, qAG1a and qAG1b on chromosome 1 and qAG8 on chromosome 8 using composite interval mapping (CIM). The percentage of variance explained by these QTLs ranged from 5.49 to 14.14%. The lines with three QTLs (qAG1b?+?qAG1a?+?qAG8) demonstrated an approximate 50% survival rate under anaerobic conditions, while lines with two QTLs including qAG1b demonstrated survival rates of 36 and 32% after the treatment, respectively. The QTLs detected in this study may be used to improve AG tolerance during germination and may be combined with other QTLs for anaerobic germination to enhance adaptation to direct seeding and to broaden the understanding of the genetic control of tolerance of germination under anaerobic conditions.     

Combination of stem elongation ability with submergence tolerance in rice

Summary A study was conducted with six F₂ populations to test the possibility of combining submergence tolerance and stem elongation ability into a single genotype of rice (Oryza sativa L.). Submergence tolerance and stem elongation ability could be combined in the same genotype if strongly submergence tolerant genes are present in submergence tolerant parents.     

Genome-wide association study identifies QTLs conferring salt tolerance in rice

Rice is the most important cereal crop but is sensitive to salinity stress. Increased salinization is progressively reducing rice productivity, escalating calls for research to ensure sustainable food production. The genetic diversity available in cultivars provides a rich resource for discovering genes associated with salt tolerance which has not yet been sufficiently utilized. In this study, 54 QTLs associated with salt tolerance were detected through genome-wide association study (GWAS) using a core population consisting of 181 cultivars. We detected 17 loci significantly associated with dry weight ratio (DWR) for salt tolerance. In the region of a novel QTL qST-7.19 on chromosome 7, we identified a candidate gene encoding a multidrug and toxic compound extrusion (MATE) protein and further validated the effect by using near-isogenic line of the candidate gene. These QTLs and the candidate gene pave the ways for salinity tolerance improvement through molecular breeding.     

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.     

Mapping QTLs in breeding for drought tolerance in maize (Zea mays L.)

Summary Grain yield in the maize (Zea mays L) plant is sensitive to drought in the period three weeks either side of flowering. Maize is well-adapted to the use of restriction fragment length polymorphisms (RFLPs) to identify a tight linkage between gene(s) controlling the quantitative trait and a molecular marker. We have determined the chromosomal locations of quantitative trait loci (QTLs) affecting grain yield under drought, anthesis-silking interval, and number of ears per plant. The F₃ families derived from the cross SD34(tolerant) × SD35 (intolerant) were evaluated for these traits in a two replicated experiment. RFLP analysis of the maize genome included non-radioactive DNA-DNA hybridization detection using chemiluminescence. To identify QTLs underlying tolerance to drought, the mean phenotypic performances of F₃ families were compared based on genotypic classification at each of 70 RFLP marker loci. The genetic linkage map assembled from these markers was in good agreement with previously published maps. The phenotypic correlations between yield and other traits were highly significant. In the combined analyses, genomic regions significantly affecting tolerance to drought were found on chromosomes 1,3,5,6, and 8. For yield, a total of 50% of the phenotypic variance could be explained by five putative QTLs. Different types of gene action were found for the putative QTLs for the three traits.     

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.     

Mapping of quantitative trait loci controlling seedling vigor in rice (Oryza sativa L.) under submergence

Submergence-induced suppression of seedling vigor is a serious constraint particularly in the direct seeding rice cultivation system. To identify quantitative trait loci (QTLs) associated with seedling vigor in rice under submergence, a mapping population of 98 Backcross Inbred Lines derived from a cross of Nipponbare/Kasalath//Nipponbare was used. Phenotypic evaluation of seedling vigor under submergence was based on shoot length (SHL), root length (RTL) and shoot fresh weight (SFW) using a test tube bioassay method. Thirty-two putative QTLs were detected among which 7 were for SHL, 11 for RTL and 14 for SFW. Phenotypic evaluation was also made of the parental lines and a set of 54 chromosome segment substitution lines in which Nipponbare segments were substituted for by their homologous Kasalath segments covering the entire rice genome. Two QTLs with more than 10 % contribution to the total phenotypic variance were verified for SHL, and at least one for RTL and six for SFW on chromosomes 1, 3, 4, 6 and 7 at the 1 % significance level. Among these, all but two showed reductions in one, two or all three traits. Our present and previous results suggest that the Nipponbare genome has a potential to improve seedling vigor under submergence and that japonica germplasms can be used to breed for this important trait in indica rice.     

棉花枯萎病抗性的QTL定位

棉花抗病育种是棉花遗传改良的重要内容.本研究以高抗枯萎病的陆地棉品系(Gossypium hirsutum L.)98134和海岛棉(Gossypium barbadence L.)感病品种新海14号为亲本,构建98134×新海14的F2及F2:3分离群体.运用SSR标记构建连锁图谱,用复合区间作图法对F2:3家系的病情指数(RD进行基因组QTL扫描,共检测到4个与棉花枯萎病相关QTL效应,分别位于3、15、23和26连锁群上.经标记值分析,该QTL能解释高值亲本的增效作用,分别解释F2:3家系变异的12.4%、20.96%、4.7%和11.9%.本研究为分子标记辅助选择抗枯萎病棉花育种提供了重要理论依据.     

Mapping QTLs for potassium-deficiency tolerance at the seedling stage in wheat (Triticum aestivum L.)

Potassium (K) deficiency is a major factor limiting crop development and yield. In this study, 20 traits were investigated at the seedling stage using a doubled-haploid population subjected to normal K and K deprivation treatments. Evaluation of phenotypes expressed under the two K supply conditions revealed that K deprivation was able to decrease values of ten measured traits, whereas values of the other ten traits increased. A total of 65 QTLs were detected across all 21 chromosomes, except for chromosomes 2B, 5A, and 7B. Individual QTLs in the two K supply treatments explained between 5.35 and 39.64 % of the phenotypic variation. Nine QTL clusters (C1–C9) involving 34 QTLs under the different K supply treatments were mapped to chromosomes 1A, 1B, 1D, 3B, 4A, 5B, 6A, and 7B. Our results are helpful for understanding the genetic basis of K deficiency in wheat, and provide useful information for genetic improvement of K deficiency in wheat by marker-assisted selection.     

Mapping of QTLs for eating and cooking quality-related traits in rice (Oryza sativa L.)

The increasing living standard of customers has resulted in a demand for the improvement of the cooking, eating, and appearance quality of rice grains, which have become a priority for rice breeders and geneticists. In this study, a double haploid population derived from the cross between japonica CJ06 and indica TN1 was used to analyze the quantitative trait loci (QTLs) for amylose content, gel consistency (GC), gelatinization temperature (GT), protein content, and grain hardness under two different conditions. A total of 18 QTLs were detected on chromosomes 1, 2, 3, 6, 8, 10, and 12, with the additive heritability ranging from 10.4 to 66.3 %. Eight of them were identified both in Hangzhou and Hainan. Moreover, five-locus epistatic interactions were identified except for GC, and two QTLs for GT exhibited environmental interaction effects. The results facilitate further understanding of the genetic basis for eating and cooking quality, nutritive quality, and milling quality.     

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.