不同施氮水平下水稻株高与抽穗期的QTL比较分析

利用超级杂交稻协优9308 (协青早B×中恢9308)衍生的重组自交系(recombinant inbred line, RIL)群体及其分子连锁图谱, 应用Windows QTL Cartographer 2.5对施氮和不施氮条件下水稻株高(PH)和抽穗期(HD)进行了QTL分析。在2种氮水平下检测到9个株高QTL和8个抽穗期QTL, 检测到4个影响2种环境下株高和抽穗期差值的QTL, 单个QTL可解释的表型变异介于5.68%~18.40%之间;在第7染色体上RM5436附近和第8染色上RM5556~RM310区间检测到同时控制2种氮水平下株高和抽穗期的QTL, 各位点的遗传效应贡献率较大, 增效等位基因均来源于R9308, 适用于分子标记辅助育种和聚合育种。在第2染色体上RM5916~RM166区间和第8染色体上RM2366~RM5767区间分别检测到1个影响2种氮水平下抽穗期差值和1个株高差值的QTL可能对水稻的氮素高效利用有直接贡献。     

水稻抗纹枯病QTL表达的遗传背景及环境效应

利用水稻纹枯病菌强致病菌系RH-9人工接种Lemont导入到特青背景的213个近等基因导入系(TQ-ILs)群体和特青导入到Lemont背景的195个近等基因导入系(LT-ILs)群体,定位和分析了水稻抗纹枯病数量性状座位(quantitative trait loci, QTL)及其表达的环境与遗传背景效应。亲本Lemont对RH-9表现为高度感病,特青表现为中等抗病。人工接种后TQ-ILs群体的相对病斑高度(病斑高度与株高比)呈连续正态分布,LT-IL群体则明显偏向感病亲本Lemont。在不同年份和遗传背景下检测到影响纹枯病相对病斑高度的主效QTL 10个和互作QTL 13个,其中2006年在TQ-IL群体定位到的6个主效QTL在2007年均得到验证,表明这些QTL具有较好年度间的重复性。QSh4是唯一在双向导入系背景下表达的QTL,该位点特青等位基因降低相对病斑高度,提高抗性水平。在TQ-ILs群体中定位到位于第10染色体RM216~RM311区间的QSb10a与在LT-IL群体中定位到的位于相邻区间RM222~RM216的QSb10b的基因作用方向不同,推断这两个QTL存在紧密连锁关系。绝大多数在TQ-IL群体中表达的主效及互作QTL在LT-ILs群体中不表达,表明水稻抗纹枯病QTL具有明显的遗传背景效应。通过比较作图,本研究定位到的其中8个QTL在以往不同群体中同样被检测到,这些主效QTL对通过分子标记辅助选择(marker-assisted selection, MAS)培育水稻抗纹枯病育种可能具有应用价值。研究指出,标记辅助选择在不同遗传背景中能稳定表达的QTL或通过聚合不同抗病QTL是进一步提高水稻纹枯病抗性水平的一个有效途径。     

利用品质性状的回交选择导入系挖掘水稻抗纹枯病QTL

将优质、抗纹枯病的高秆供体Tarom Molaii和Binam导入半矮秆IR64和特青背景,培育品质性状回交选择构建的4个导入系群体IR64/Tarom Molaii、特青/Tarom Molaii、IR64/Binam和特青/Binam,定位了影响水稻抗纹枯病病级(disease scale, DS)、相对病斑高度(relative lesion height, RH)和株高(plant height, PH)的QTL。结果表明,4个导入系群体的DS与RH高度相关,两者与PH呈显著负相关。导入系后代各性状均呈现超亲分离,出现抗性明显优于双亲的抗病个体,其中40%左右属半矮秆抗病类型。采用单向方差分析,在这4个群体中分别定位到10、8、8和6个影响3个性状的QTL,多数基因座上降低DS和RH即增强抗病性同时增加株高的等位基因均来自两个供体。未在同一供体两个不同背景下检测到影响3个性状的相同QTL,表明抗纹枯病QTL表达有明显的遗传背景效应。PH与DS及PH与RH被定位在同一个显著标记位点的QTL数分别占两个性状QTL总数的38%和52%,表明水稻纹枯病抗性与株高关系密切,两者存在许多连锁位点。与以往相同群体品质性状QTL的定位结果相比,发现品质性状QTL与抗纹枯病QTL大多分布在染色体的不同区域,彼此独立遗传。对利用目标性状选择导入系定位非目标性状QTL的效果、影响因素及育种应用进行了探讨,强调了目标性状选择导入系对非目标性状QTL发掘及育种应用的重要性。     

Genetic studies of seed longevity in hexaploid wheat using segregation and association mapping approaches

Xieyou9308 is the first commercial super hybrid rice released in 1996 in China. To clarify its genetic mechanism underlying high yield potential, a recombinant inbred line (RIL) population derived from the cross between the maintainer line XieqingzaoB (XQZB) and the restorer line Zhonghui9308 (ZH9308) and two derived backcross F₁ (BCF₁) populations were developed for the identification of quantitative trait loci (QTLs) related to ten important agronomic traits (tiller number (TN), heading date (HD), and grain yield per plant (GYPP), etc.). The BCF₁ performance was closely correlated with the performance of their parental RILs according to both the analysis of broad-sense heritability (h _B ²) and phenotypic correlation coefficient (PCC) in the two BCF₁ populations, but not proved by QTL analysis. A total of 21 additive-effect main QTLs (M-QTLs), 22 dominant-effect M-QTLs, and 19 dominant-effect M-QTLs were detected with the WinQTLCart 2.50 software for the ten traits in the RIL and two BCF₁ populations, respectively. Of theses, three QTLs (qHD7a, qPPP3a, and qPL10) of 21 were detected repeatedly in the RIL and one BCF₁ populations, ten QTLs underlying four traits were only detected repeatedly in two BCF₁ populations, and nine QTLs controlling more than two traits were detected repeatedly, the additive-effect QTLs and dominant-effect QTLs play an important role in the performance of agronomic traits and no epistatic QTL of additive by additive effect and dominant by dominant-effect was detected for all traits in three populations. This research is valuable for M-QTL related to important agronomic trait in future fine mapping and positional cloning.     

大豆叶片性状QTL的定位及Meta分析

利用Charleston×东农594重组自交系构建SSR遗传图谱,采用WinQTLCartographer Ver. 2.5软件的CIM和MIM分析方法对2006—2010年(F_2:14~F_2:18)连续5年的大豆叶长、叶宽以及叶柄长数据进行QTL定位,检测到8个与叶长有关的QTL,位于染色体Gm01、02、05、11和18上;9个与叶宽有关的QTL,位于染色体Gm01、03、05、06、11、12和16上;8个与有关叶柄长的QTL,位于染色体Gm01、03、05、06、11、17和18上。2年以上均检测到的叶长QTL为qLL5a、qLL5b、qLL1a和qLL18;叶宽QTL为qLW5a、qLW11a、qLW11b和qLW12;叶柄长QTL为qLSL11b。另外,利用BioMercator2.1的映射功能将国内外常用的大豆图谱上的叶长、叶宽QTL通过公共标记映射整合到大豆公共遗传连锁图谱Soymap2上,将搜集到的35个叶长QTL、37个叶宽QTL和本研究得到的QTL整合分析,最终得到5个大豆叶长的“通用”QTL,位于Gm09、18和19,其置信区间最小可达5.66 cM;4个大豆叶宽的“通用”QTL,位于Gm07、Gm18和Gm19,其置信区间最小可达5.67 cM,为今后对大豆叶片性状QTL精细定位, 提供了有利科学信息。     

利用双向导入系解析水稻抽穗期和株高QTL及其与环境互作表达的遗传背景效应

利用粳稻Lemont和籼稻特青相互导入构建的遗传背景基本一致的双向回交导入系群体,分别在北京和海南环境定位影响抽穗期和株高的主效QTL及其环境互作,分析QTL及其与环境互作表达的遗传背景效应。在北京和海南分别检测到影响抽穗期和株高的主效QTL 16个和17个,其中有5个主效QTL (QHd2、QHd8a、QPh3、QPh5和QPh12)在两种背景下同时被检测到,表明多数主效QTL的表达具有遗传背景特异性。两种背景下检测到影响抽穗期的3个主效QTL (QHd8a、QHd9和QHd10b)存在环境互作,其中QHd8a与海南环境的互作在两种背景下提早抽穗2~3 d,与北京环境的互作则延迟抽穗2~3 d,是影响抽穗期的一个重要主效QTL。通过与以往相同亲本来源的7个不同定位群体在不同环境下定位结果的比较,鉴定出一些在不同遗传背景和环境下稳定表达的主效QTL,如QHd3、QHd8a、QPh3和QPh4,适宜用于水稻抽穗期和株高的分子标记改良。基于QTL定位结果,本文对如何通过分子标记辅助改良品种在不同环境下的抽穗期进行了深入探讨。     

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.     

基于QTL定位和全基因组关联分析筛选甘蓝型油菜株高和一次有效分枝高度的候选基因

株高和一次有效分枝高度是与甘蓝型油菜结荚层厚度、收获指数紧密关联的重要农艺性状,有关株高的数量性状位点(quantitativetraitlocus,QTL)和全基因组关联分析(genome-wideassociationstudy,GWAS)已有很多报道,但对一次有效分枝高度的QTL和GWAS定位以及候选基因筛选的研究报道较少。本研究利用已构建的高密度遗传连锁图对2016和2017年2个环境的186个株系组成的重组自交系群体株高和一次有效分枝高度及其最佳线性无偏预测(bestlinearunbiasedprediction,BLUP)值进行QTL定位共检测到8个株高的QTL,分别位于A03、A04和A09染色体,单个QTL解释4.60%～13.29%的表型变异,其中位于A04染色体上的QTL(q-2017PH-A04-2和q-BLUP-PH-A04-2)在2017年和BLUP中均被检测到;检测到9个一次有效分枝高度QTL,分别位于A01、A02、A05、A09、C01和C05染色体上,单个QTL解释5.12%～19.10%的表型变异,其中q-2017BH-A09-1、q-BLUP-B...     

Effects of environment, disease progress, plant height and heading date on the detection of QTLs for resistance to Fusarium head blight in an European winter wheat cross

In order to characterise quantitative trait loci (QTLs) for Type I and Type II resistance against Fusarium head blight (FHB) in wheat, a population of recombinant inbred lines derived from the cross Cansas (moderately resistant)/Ritmo (susceptible) was evaluated in spray-inoculated field trials over three seasons. Map-based QTL analysis across environments revealed seven QTLs on chromosomes 1BS, 1DS, 3B, 3DL, 5BL, 7BS and 7AL (QFhs.whs-1B, QFhs.whs-1D, QFhs.whs-3B, QFhs.whs-3D, QFhs.whs-5B, QFhs.whs-7A, QFhs.whs-7B) associated with FHB resistance. They accounted for 56% of the phenotypic variance. QFhs.whs-1D primarily appeared to be involved in resistance to fungal penetration, whereas the other QTLs mainly contributed to resistance to fungal spread. FHB resistance was significantly correlated with plant height (PH) and heading date (HD). Including all single environments, corresponding overlaps of QTLs for FHB resistance and QTLs for PH/HD occurred at six loci, among them two consistently detected QTLs, QFhs.whs-5B and QFhs.whs-7A. When significant effects of PH and HD on FHB resistance were eliminated by covariance analysis, a second QTL analysis revealed possible escape mechanisms for the majority of the coincidental loci.     

QTL mapping for developmental behavior of plant height in wheat (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.)

A recombinant inbred line (RIL) population with 305 lines derived from a cross of Hanxuan 10 × Lumai 14 was used to identify the dynamic quantitative trait loci (QTL) for plant height (PH) in wheat (Triticum aestivum L.). Plant heights of RILs were measured at five stages in three environments. Total of seven genomic regions covering PH QTL clusters on different chromosomes identified from a DH population derived from the same cross as the RIL were used as the candidate QTLs and extensively analyzed. Five additive QTLs and eight pairs of epistatic QTLs significantly affecting plant height development were detected by unconditional QTL mapping method. Six additive QTLs and four pairs of epistatic QTLs were identified using conditional mapping approach. Among them, three additive QTLs (QPh.cgb-1B.3, QPh.cgb-4D.1, QPh.cgb-5B.2) and three pairs of epistatic QTLs (QPh.cgb-1B.1–QPh.cgb-1B.3, QPh.cgb-2A.1–QPh.cgb-2D.1, QPh.cgb-2D.1–QPh.cgb-5B.2) were common QTLs detected by both methods. Three QTLs (QPh.cgb-4D.1, QPh.cgb-5B.3, QPh.cgb-5B.4) were expressed under both drought and well-water conditions. The present data are useful for wheat genetic manipulations through molecular marker-assisted selection (MAS), and provides new insights into understanding the genetic mechanism and regulation network underlying the development of plant height in crops. Our result in this study indicated that combining unconditional and conditional mapping methods could make it possible to reveal not only the stable/conserved QTLs for the developmental traits such as plant height but also the dynamic expression feature of the QTLs.     

Analysis of quantitative trait loci associated with leaflet types in two recombinant inbred lines of soybean

Leaf area, length and width affect the photosynthetic capability of a plant and so increasing the photosynthetic rate per unit leaf area may improve seed yield in soybean. In this study, simple sequence repeat (SSR) markers were used to identify the genomic regions significantly associated with the quantitative trait locus (QTL) that controls length, width and the length/width ratio of the terminal and lateral leaflet in two segregating F_2:10 recombinant inbred line (RIL) populations, ‘Keounolkong’ × ‘Shinpaldalkong’ (K/S) and ‘Keounolkong’ × ‘Iksan10’ (K/I). In the K/S population, one QTL was identified for terminal leaflet length (TLL), two for lateral leaflet length (LLL), four for terminal leaflet width (TLW), four for lateral leaflet width (LLW), two for terminal leaflet length/width ratio (TLR) and four for lateral leaflet length/width ratio (LLR), with total phenotypic variations of 7.43, 10.9, 26.57, 23.46, 20.25 and 23.31%, respectively. In the K/I population, two QTLs were identified for TLL, two for LLL, three for TLW, and two for LLW, four for TLR and two for LLR with total phenotypic variations of 29.89, 22.77, 18.5, 12.15, 22.96 and 17.85%, respectively. Only a few QTLs coincided among the leaflet traits and no relationships were observed between the two populations. Many QTLs were associated with leaflet traits but each single QTL made only a minimal contribution. Thus, pyramiding the favourable alleles for leaflet traits in soybean breeding programmes may accelerate vegetative growth and perhaps lead to higher yields by maximizing total photosynthetic performance.     

QTL identification of yield-related traits and their association with flowering and maturity in soybean

Two soybean recombinant inbred line populations, Jinpumkong 2 × SS2-2 (J × S) and Iksannamulkong × SS2-2 (I x S) showed population-specific quantitative trait loci (QTLs) for days to flowering (DF) and days to maturity (DM) and these were closely correlated within population. In the present study, we identified QTLs for six yield-related traits with simple sequence repeat markers, and biological correlations between flowering traits and yield-related traits. The yield-related traits included plant height (PH), node numbers of main stem (NNMS), pod numbers per plant (PNPP), seed numbers per pod (SNPP), 100-seed weight (SW), and seed yield per plant (SYPP). Eighteen QTLs for six yield-related traits were detected on nine chromosomes (Chrs), containing four QTLs for PH, two for NNMS, two for PNPP, three for SNPP, five for SW, and two for SYPP. Two highly significant QTLs for PH and NNMS were identified on Chr 6 (LG C2) in both populations where the major flowering gene, E1, and two DF and DM QTLs were located. One other PNPP QTL was also located on this region, explaining 12.9% of phenotypic variation. Other QTLs for yield-related traits showed population-specificity. Two significant SYPP QTLs potentially related with QTLs for SNPP and PNPP were found on the same loci of Chrs 8 (Satt390) and 10 (Sat_108). Also, highly significant positive phenotypic correlations (P < 0.01) were found between DF with PH, NNMS, PNPP, and SYPP in both populations, while flowering was negatively correlated with SNPP and SW in the J × S (P < 0.05) and I × S (P < 0.01) populations. Similar results were also shown between DM and yield-related traits, except for one SW. These QTLs identified may be useful for marker-assisted selection by soybean breeders.     

Comparison of QTLs mapped in RILs and their test-cross progenies of tropical maize for insect resistance and agronomic traits

Quantitative trait loci (QTL) affecting resistance to south-western corn borer Diatraea grandiosella (SWCB) and sugarcane borer Diatraea saccharalis (SCB) have been identified previously in F_2:3 lines and recombinant inbred lines (RILs) of tropical maize using restriction fragment length polymorphism (RFLP) analyses. Our objective was to determine whether QTLs identified in these generations are also expressed in test crosses (TC) of RILs. A population of 166 TC progenies was developed by crossing RILs from the cross CML131 (susceptible) × CML67 (resistant) with the unrelated, susceptible tester line CML216. Resistance to first-generation SWCB, measured as leaf-feeding damage (LFD) under artificial infestation, and other agronomic traits were evaluated in two environments for the TC progenies and three environments for 183 RILs. The correlation between line per se and TC performance was low for LFD and intermediate for most agronomic traits. Estimates of the genotypic variance and heritabilities were smaller in the TC progenies than in the RILs for all traits. Quantitative trait loci were identified using an RFLP linkage map with 136 loci. For LFD, four QTLs were detected in the TC progenies, of which two were in common with nine QTLs previously mapped in the RILs. Few QTLs for agronomic traits were common to the two types of progeny, because of the low consistency of QTL positions for all traits in RIL and TC progenies, the use of TC progenies should be considered in QTL mapping studies as the first step for marker-assisted selection in hybrid breeding.     

甘蓝型油菜茎高QTL定位及株高相关位点整合

甘蓝型油菜主茎高度(茎高)是株型的构成因子之一,研究其遗传机理对油菜株型改良具有重要的理论指导意义。目前对甘蓝型油菜茎高研究的报道较少。本研究以2个油菜茎高差异较大的亲本构建的重组自交系群体为材料,利用SNP高密度遗传图谱, 2年共检测到11个茎高QTL,分布在A04、A06、C04、A08和C01染色体上,位点的表型贡献率为7.25%～19.61%。同时,以455份来源不同的甘蓝型油菜为材料,结合重测序产生的SNP标记,对茎高进行全基因组关联分析, 2年共检测到5个SNP与茎高性状显著关联,分布在A08、A10、C02和C06染色体上。根据茎高定位结果,找到一些与激素途径(生长素、赤霉素和油菜素内酯)、光形态建成及植物生长发育相关的候选基因。在此基础上,结合国内外株高相关性状定位研究结果,将株高相关性状位点整合到甘蓝型油菜参考基因组上,发现4个以上群体都在A01、A03、A07、C03和C06染色体上找到株高定位的区间,2个群体在A10染色体上找到主花序长度共同定位的区间,在A02和C03染色体上找到一次分枝高度共同定位的区间。本研究中的茎高定位结果与整合后的株高相关性状QTL定位区间有部分重叠,位于A04、A06、A08、C04和C06染色体上。上述结果为甘蓝型油菜理想株型育种提供了理论依据。     

利用水稻MAGIC群体关联定位抽穗期和株高QTL

利用多亲本高代互交系(multi-parent advanced generation inter-cross,MAGIC)群体(DC1、DC2和8way)及其复合群体DC12(DC1+DC2)和RMPRIL(DC1+DC2+8way)进行关联分析定位水稻抽穗期和株高QTL。2015年和2016年分别在江西和深圳收集3个MAGIC群体抽穗期数据,2016年在两地收集株高数据,结合Rice 55K SNP芯片进行基因分型,利用关联分析方法检测到3个影响抽穗期的主效QTL(q HD3、q HD6和q HD8),分别位于第3、第6和第8染色体,且分别与已知抽穗期基因DTH3、Hd3a和Ghd8在同一区域。检测到5个影响株高的QTL(q PH1.1、q PH1.2、q PH1.3、q PH4和q PH6),其中q PH1.1和q PH1.2位于已知基因Psd1和sd1附近,其余3个QTL为影响株高的新位点,但仅在1个群体和单个环境下被检测到,QTL表达受遗传背景和环境影响大。不同MAGIC群体定位抽穗期和株高的效果不同,在8亲本MAGIC群体8way及复合群体DC12和RMPRIL分别检测到5、5和6个抽穗期和株高QTL,明显多于4亲本群体DC1的2个和DC2的4个,而且作图的精度更高,表现在定位到的QTL显著水平高和与已知基因距离更近,尤其是复合群体的联合分析(如DC12和RMPRIL)的作图优势更为明显。     

不同密度下玉米穗部性状的QTL分析

为研究玉米穗部性状对不同种植密度的遗传响应,以郑58和HD568为亲本构建的220个重组自交系群体为材料,于2014年春、2014年冬及2015年春分别在北京和海南进行3个种植密度的田间试验,调查玉米穗长、穗粗、穗行数和行粒数等表型性状。利用SAS软件计算穗部性状的最优线性无偏估计值(BLUP),并采用完备区间作图法进行QTL定位。结果表明,在3个种植密度下共检测到42个QTL,单个QTL可解释4.20%~14.07%的表型变异。3个种植密度下同时检测到位于第2染色体上控制穗行数的QTL。2个种植密度下同时检测到4个与穗粗、穗行数和行粒数有关的QTL,其中第4染色体上1个与穗行数有关的主效QTL,在低、中种植密度下可分别解释表型变异的10.88%和14.07%。此外,在第2、4和9染色体上检测到3个同时调控不同穗部性状的QTL。研究结果表明玉米穗部性状在不同种植密度下的遗传调控发生变化,在不同密度下共同检测到的稳定QTL可应用于精细定位或开发玉米耐密性分子标记用于辅助育种。     

大豆叶片性状和叶绿素含量QTL间的上位性和环境互作效应

以丰产性好、抗旱力强的栽培大豆晋豆23为母本,山西农家品种半野生大豆灰布支黑豆为父本杂交衍生的447个RIL作为供试群体。将亲本及447个家系分别于2011、2012和2013年采用随机试验种植,按照标准测量叶长、叶宽和叶柄长3个性状,并于2012年8月1日和8月8日和2013年8月2日和8月9日各测量1次叶绿素含量。采用QTLNETwork 2.0混合线性模型分析方法和主基因+多基因混合遗传分离分析法,对大豆叶片性状和叶绿素含量进行遗传分析和QTL间的上位性和环境互作效应研究。结果表明,叶长受2对加性-加性×加性上位性混合主基因控制,叶宽受3对等效主基因控制,叶柄长受4对加性-加性×加性上位性主基因控制,叶绿素含量受4对加性主基因控制;检测到10个与叶长、叶宽、叶柄长和叶绿素含量相关的QTL,分别位于A1、A2、C2、H_1、L和O染色体。其中2个叶长QTL分别位于C2和L染色体,是2对加性×加性上位互作效应及环境互作效应QTL;3个叶宽加性与环境互作QTL分别位于A2、C2和O染色体;2个叶柄长QTL分别位于L和O染色体;3个叶绿素含量QTL分别位于A1、C2和H_1染色体。叶片性状和叶绿素含量的遗传机制较复杂,加性效应、加性×加性上位互作效应及环境互作效应是大豆叶片性状和叶绿素含量的重要遗传基础。建议大豆分子标记辅助育种中,一方面要考虑起主要作用的QTL,另一方面要注重上位性QTL的影响,这对于性状的遗传和稳定表达具有积极的意义。     

Genetic linkage of QTLs for late blight resistance and foliage maturity type in six related potato progenies

A set of test crosses of diploid potatoes was used to identify QTLs for foliage resistance against Phytophthora infestans and QTLs for foliage maturity type, and to assess their genetic relationship. The most important locus for both traits was found on chromosome 5 near marker GP21: the allele of marker GP21 that is associated with resistance to late blight is also associated with late foliage maturity. An additional QTL with a small effect on foliage maturity type was identified on chromosome 3, and additional QTLs for late blight resistance were found on chromosomes 3 and 10. Another QTL was detected on chromosome 7 when resistance was adjusted for the effect of foliage maturity type. The additional QTLs for resistance against P. infestans on chromosomes 3 and 10 seem to be independent of foliage maturity type and are not affected by epistatic effects of the locus on chromosome 5. The effects of the additional QTLs for resistance are small, but early maturing genotypes that necessarily have the allele for susceptibility for late blight on chromosome 5 may benefit from the resistance that is provided by these QTLs on chromosomes 3 and 10.     

不同统计遗传模型QTL定位方法应用效果的模拟比较

分子遗传和数量遗传的结合,发展了QTL定位研究。随着定位方法与软件的建立和完善,QTL定位的研究越来越多。准确定位的QTL可用于分子标记辅助选择和图位克隆,而假阳性QTL将误导定位信息的应用。本文分析了迄今主要定位方法(软件)对于各种遗传模型数据的适用性。应用计算机模拟4类遗传模型不同的重组自交系群体(RIL),第一类只包含加性QTL;第二类包含加性和上位性互作QTL;第三类包含加性QTL和QTL与环境互作效应;第四类包含加性、上位性互作QTL和QTL与环境互作效应。每类按模拟QTL个数不同设两种情况,共分为8种数据模型(下称M-1～M-8)。选用WinQTLCart 2.5的复合区间作图(下称CIM)、多区间作图前进搜索(MIMF)、多区间作图回归前进选择(MIMR)、IciMapping 2.0的完备复合区间作图(ICIM)、MapQTL 5.0的多QTL模型(MQM)以及QTLnetwork 2.0的区间作图(MCIM)6种程序对8种不同遗传模型的RIL进行QTL检测。结果表明,不同程序适用的遗传模型范围不同。CIM和MQM只适于检测第一类模型;MIMR、MIMF和ICIM只适于检测第一类和第二类模型;只有MCIM适于检测所有4类遗传模型;因而不同遗传模型数据的最适合检测程序不同。由于未知实际数据的遗传模型,应采用在复杂模型程序,如QTLnetwork 2.0,扫描基础上的多模型QTL定位策略,对所获模型用相应模型软件进行验证。     

不同环境基于高密度遗传图谱的稻米外观品质QTL定位

为解析稻米外观品质遗传基础, 挖掘稳定存在的控制稻米外观品质性状的QTL, 本研究以籼稻品种V20B和爪哇稻品种CPSLO17作为亲本, 构建包含150个重组自交家系(recombinantion inbred line, RIL)的RIL作图群体, 进行外观品质性状QTL定位分析。利用特定位点扩增长度测序(SLAF-seq)技术, 构建了一个由12个连锁群包含8602个标记, 平均间距为0.29 cM的高密度遗传图谱。采用IciMapping 4.0软件的ICIM-ADD方法在3种环境(贵阳、贵定、三亚)对4个外观品质性状(粒长、粒宽、垩白度和垩白粒率)进行QTL (quantitative trait locus)定位分析。结果表明: 3种环境共检测到9个粒长QTL、6个粒宽QTL、3个垩白度QTL和4个垩白粒率QTL; 有5个QTL在多个环境被重复检测到, 其中3种环境都定位到的粒宽QTL qGW5-1和垩白度QTL qCha5-1为同一定位区间(第5染色体的Marker1642127-Marker1514505); 此外, 垩白度QTL qCha5-2的定位区间(Marker1554573-Marker1554589)和垩白粒率QTL qCGP5-2也是一样的。序列比对发现QTL qCha5-1定位区间仅51.5 kb, 是新的垩白性状主效QTL。本研究结果不仅为挖掘新的外观品质性状基因奠定基础, 也有助于开发新的分子标记进行水稻外观品质性状遗传改良。