玉米丝裂病的抗性QTL定位

选用感丝裂病的玉米自交系R08与抗丝裂病的自交系Es40组配F₂群体共348个单株,构建了包含115个SSR标记的分子遗传连锁图谱,覆盖玉米基因组2 178.6 cM,平均图距为18.9 cM。采用复合区间作图法,对F_2:4家系丝裂病数据进行抗性QTL分析,共检测到12个QTL,分别位于第1、2、4、5和7染色体,贡献率为4.22%~37.95%。其中在第1、3染色体上检测到主效QTL,贡献率均大于30%,基因作用方式均为显性,其余10个QTL的作用方式多为加性或部分显性。     

Construction of a chromosome-assigned,sequence-tagged linkage map for the radish,Raphanus sativus L. and QTL analysis of morphological traits

The radish displays great morphological variation but the genetic factors underlying this variability are mostly unknown. To identify quantitative trait loci (QTLs) controlling radish morphological traits, we cultivated 94 F₄ and F₅ recombinant inbred lines derived from a cross between the rat-tail radish and the Japanese radish cultivar ‘Harufuku’ inbred lines. Eight morphological traits (ovule and seed numbers per silique, plant shape, pubescence and root formation) were measured for investigation. We constructed a map composed of 322 markers with a total length of 673.6 cM. The linkage groups were assigned to the radish chromosomes using disomic rape-radish chromosome-addition lines. On the map, eight and 10 QTLs were identified in 2008 and 2009, respectively. The chromosome-linkage group correspondence, the sequence-specific markers and the QTLs detected here will provide useful information for further genetic studies and for selection during radish breeding programs.     

陆地棉种子物理性状QTL定位

定位棉花种子性状的基因对揭示棉花种子性状的遗传规律,以及明确棉花种子、产量、纤维品质等性状间的遗传关系具有重要意义。以(渝棉1号×T586) F_2:7重组近交系群体构建的遗传连锁图谱,在鉴定270个家系3个环境种子物理性状的基础上,利用MQM作图方法,共检测到34个种子物理性状QTL,包括9个种子重(qSW)、5个短绒重(qFW)、3个短绒率(qFP)、8个种仁重(qKW)、6个种子壳重(qHW)和3个种仁率(qKP)QTL,它们可解释4.6%~80.1%的性状表型变异。9个QTL在2个或3个环境中被检测到,其中包括第12染色体显性光子位点的短绒重与短绒率QTL,以及另外7个微效应QTL。34个QTL分布于15条染色体,其中A染色体组20个,D染色体组14个。有12个染色体区段分布有2个或2个以上的QTL,而且同一染色体区域同一亲本所具有的不同性状QTL的方向大多数与性状表型相关系数的正负一致。     

Fine mapping of major QTLs for alkaline tolerance at the seedling stage in maize (<Emphasis Type="Italic">Zea mays</Emphasis> L.) through genetic linkage analysis combined with high-throughput DNA sequencing

Exploiting genes and quantitative trait loci (QTLs) related to maize (Zea mays L.) alkaline tolerance is helpful for improving alkaline resistance. To explore the inheritance of maize alkaline tolerance at the seedling stage, a mapping population comprising 151 F_2:3 lines derived from the maize cross between Zheng58, tolerant to alkaline, and Chang7-2, sensitive to alkaline, was used to establish a genetic linkage map with 200 SSR loci across the 10 maize linkage groups, with an average interval of 6.5 cM between adjacent markers. QTLs for alkaline resistant traits of alkaline tolerance rating (ATR), germination rate (GR), relative conductivity (RC), weight per plant (WPP) and proline content (PC) were detected. The obtained results were as follows: Five QTLs on chromosomes 2, 5 and 6 (GR and WPP: chr. 2; PC and ATR: chr. 5; and RC: chr. 6) were mapped. For precise mapping of the QTLs related to alkaline resistance, two bulked deoxyribonucleic acid (DNA) pools were constructed using individual DNAs from the most tolerant 30 F₂ individuals and the most sensitive 30 F₂ individuals according to the ATR and used to establish a high density map of SLAF markers strongly associated with the ATR by specific locus amplified fragment sequencing (SLAF-Seq) combined with super bulked segregant analysis (superBSA). One marker-intensive region involved three SLAFs at 296,000–6,203,000 bp on chromosome 5 that were closely related to the ATR. Combined with preliminary QTL mapping with superBSA, two major QTLs on chromosome 5 associated with alkaline tolerance at the maize seedling stage were mapped to marker intervals of dCap-SLAF31521 and dCap-SLAF31535 and phi024 and dCap-SLAF31521, respectively. These QTL regions involved 9 and 75 annotated genes, respectively. These results will be helpful for improving maize alkaline tolerance at the seedling stage by marker-assisted selection programs and will be useful for fine mapping QTLs for maize breeding.     

T1 locus in cotton is the candidate gene affecting lint percentage, fiber quality and spiny bollworm (Earias spp.) resistance

A genetic linkage map of chromosome 6 was constructed by using 270 recombinant inbred lines originated from an upland cotton cross (Yumian 1 × T586) F₂ population. The genetic map included one morphological (T₁) and 18 SSR loci, covering 96.2 cM with an average distance of 5.34 cM between two markers. Based on composite interval mapping (CIM), QTL(s) affecting lint percentage, fiber length, fiber length uniformity, fiber strength and spiny bollworm resistance (Earias spp.) were identified in the t₁ locus region on chromosome 6. The allele(s) originating from T586 of QTLs controlling lint percentage increased the trait phenotypic value while the alleles originating from Yumian 1 of QTLs affecting fiber length, fiber length uniformity, fiber strength and spiny bollworm resistance increased the trait phenotypic value.     

Mapping quantitative trait loci for cottonseed oil,protein and gossypol content in a <Emphasis Type="Italic">Gossypium hirsutum</Emphasis> × <Emphasis Type="Italic">Gossypium barbadense</Emphasis> backcross inbred line population

Cotton is one of the most important oil-producing crops and the cottonseed meal provides important protein nutrients as animal feed. However, information on the genetic basis of cottonseed oil and protein contents is lacking. A backcross inbred line (BIL) population from a cross between Gossypium hirsutum as the recurrent parent and G. barbadense was used to identify quantitative trait loci (QTLs) for cottonseed oil, protein, and gossypol contents. The BIL population of 146 lines together with the two parental lines was tested in the same location for three years in China. Based on a genetic map of 392 SSR markers and a total genetic distance of 2,895.2 cM, 17 QTLs on 12 chromosomes for oil content, 22 QTLs on 12 chromosomes for protein content and three QTLs on two chromosomes for gossypol content were detected. Seed oil content was significantly and negatively correlated with seed protein content, which can be explained by eight QTLs for both oil and protein contents co-localized in the same regions but with opposite additive effects. This research represents the first report using a permanent advanced backcross inbred population of an interspecific hybrid population to identify QTLs for seed quality traits in cotton in three environments.     

Molecular mapping of a major QTL conferring resistance to SCMV based on immortal RIL population in maize

Sugarcane mosaic virus (SCMV) is one of devastating pathogens in maize (Zea mays L.), and causes serious yield loss in susceptible cultivars. An effective solution to control the virus is utilizing resistant genes to improve the resistance of susceptible materials, whereas the basic work is to analyze the genetic basis of resistance. In this study, maize inbred lines Huangzao4 (resistant) and Mo17 (susceptible) were used to establish an F₉ immortal recombinant inbred line (RIL) population containing 239 RILs. Based on this segregation population, a genetic map was constructed with 100 simple sequence repeat (SSR) markers selected from 370 markers, and it covers 1421.5 cM of genetic distance on ten chromosomes, with an average interval length of 14.2 cM. Analysis of the genetic map and resistance by mapping software indicated that a major quantitative trait locus (QTL) was between bin6.00 and bin6.01 on chromosome 6, linked with marker Bnlg1600 (0.1 cM of interval). This QTL could account for 50.0% of phenotypic variation, and could decrease 27.9% of disease index.     

Mapping quantitative trait loci for oil,starch, and protein concentrations in grain with high-oil maize by SSR markers

The objective of this investigation was to map QTL controlling oil, protein, and starch concentrations in maize grain and to evaluate their genetic effects. The mapping population included 298 F_2:3 family lines containing Beijing high-oil (BHO) maize germplasm. F₂ individuals were genotyped with 183 SSR markers to construct a genetic linkage map, which spanned 1,605.7 cM, with an average interval of 8.77 cM. Oil, protein, and starch concentrations in grain among F_2:3 families were measured by near-infrared (NIR) analyzer. Using QTL Cartographer, we mapped six QTL associated with oil in grain, six associated with protein, and five associated with starch concentrations. The proportion of phenotypic variation explained by single QTL ranged from 4.34 to 13.13% for oil, from 5.19 to 6.66% for protein, and from 4.14 to 7.85% for starch concentrations. QTL for oil, protein, or starch concentrations were often detected in identical intervals and the direction of their effects were consistent with the sign of their phenotypic correlation. They were considered as common QTL for chemical compositions in maize grain. In this study, we identified three QTL for oil in grain, two QTL for protein, and three QTL for starch concentrations, which were on identical or similar chromosomal locations to those previously mapped with Illinois high-oil (IHO) maize germplasm. These suggests that more diverse germplasm should be necessary to detect additional QTL and to discover more favorable alleles for chemical composition of maize grain.     

Identification of QTL for stalk sugar-related traits in a population of recombinant inbred lines of maize

Increasing sugar content in silage maize stalk improves its forage quality and palatability. The genetic mapping and characterization of quantitative trait loci (QTLs) is considered a valuable tool for trait enhancement, yet little information on QTL for stalk sugar content in maize has been reported. To this end, we investigated QTLs associated with stalk sugar traits including Brix, plant height (PHT), three ear leaves area (TELA), and days to silking (DTS) in two environments using a population of 202 recombinant inbred lines from a cross between YXD053, which has a high stalk sugar content, and Y6-1, which has a low stalk sugar content. A genetic map with 180 SSR and 10 AFLP markers was constructed, which spanned 1,648.6 cM of the maize genome with an average marker distance of 8.68 cM, and QTLs were detected using composite interval mapping. Seven QTLs controlling Brix were mapped on chromosomes 1, 2, 6 and 9 in the combined environments. These QTLs could explain 2.69–13.08 % of the phenotypic variance. One major QTL for Brix on chromosome 2 located between the markers bnlg1909 and umc1635 explained 13.08 % of the phenotypic variance. Y6-1 also contributed QTL allele for increased Brix on chromosome 6. One major QTLs controlling PHT on chromosome 1 and TELA on chromosome 4 were also identified and accounted for 13.68 and 12.49 % of the phenotypic variance, respectively. QTL alleles for increased DTS were located on chromosomes 1 and 5 of YXD053. Significant epistatic effects were identified in four traits, but no significant QTL × environment interactions were observed. The information presented here may be valuable for stalk sugar content improvement via marker-assisted selection in silage maize breeding programs.     

Molecular mapping of quantitative trait loci for domestication traits and β-glucan content in a wheat recombinant inbred line population

Genetic maps are useful for analysis of quantitative trait loci (QTLs) and for marker-assisted selection (MAS) in breeding. A simple sequence repeat (SSR) marker linkage map of common wheat was constructed based on recombination inbred lines (RILs) derived from a cross between Chinese Spring and spelt wheat. The map included 264 loci on all wheat chromosomes covering 2,345.2 cM with 962, 794.6, and 588.6 cM for the A, B, and D genomes, respectively. Using the RILs and the map, we detected 42 putative QTLs on 15 chromosomes for ear length, spikelet number, spike compactness, kernel length, kernel width, kernel height and β-glucan content. Each QTL explained 4–45% of the phenotypic variation. Five QTL cluster regions were detected on chromosomes 1A, 5AL, 2B, 2D, and 4D. The first QTLs for β-glucan content in wheat were identified on chromosomes 3A, 1B, 5B, and 6D.     

Mapping genes for double podding and other morphological traits in chickpea

Seed traits are important considerations for improving yield and product quality of chickpea (Cicer arietinum L.). The purpose of this study was to construct an intraspecific genetic linkage map and determine map positions of genes that confer double podding and seed traits using a population of 76 F₁₀ derived recombinant inbred lines (RILs) from the cross of ‘ICCV-2’ (large seeds and single pods) × ‘JG-62’ (small seeds and double podded). We used 55 sequence-tagged microsatellite sites (STMS), 20 random amplified polymorphic DNAs (RAPDs), 3inter-simple sequence repeats (ISSR) and 2 phenotypic markers to develop a genetic map that comprised 14 linkage groups covering297.5 cM. The gene for double podding (s) was mapped to linkage group 6 and linked to Tr44 and Tr35 at a distance of7.8 cM and 11.5 cM, respectively. The major gene for pigmentation, C, was mapped to linkage group 8 and was loosely linked to Tr33 at a distance of 13.5 cM. Four QTLs for 100 seed weight (located on LG4 and LG9), seed number plant^-1 (LG4), days to 50% flower (LG3) were identified. This intraspecific map of cultivated chickpea is the first that includes genes for important morphological traits. Synteny relationships among STMS markers appeared to be conserved on six linkage groups when our map was compared to the interspecific map presented by Winter et al. (2000). This revised version was published online in August 2006 with corrections to the Cover Date.     

Construction of a genetic linkage map and QTL analysis of fiber-related traits in upland cotton (Gossypium hirsutum L.)

A genetic linkage map with 70 loci (55 SSR, 12 AFLP and 3 morphological loci) was constructed using 117 F₂ plants obtained from a cross between two upland cotton cultivars Yumian 1 and T586, which have relatively high levels of DNA marker polymorphism and differ remarkably in fiber-related traits. The linkage map comprised of 20 linkage groups, covering 525 cM with an average distance of 7.5 cM between two markers, or approximately 11.8% of the recombination length of the cotton genome. The present genetic linkage map was used to identify and map the quantitative trait loci (QTLs) affecting lint percentage and fiber quality traits in 117 F_2:3 family lines. Sixteen QTLs for lint percentage and fiber quality traits were identified in six linkage groups by multiple interval mapping: four QTLs for lint percentage, two QTLs for fiber 2.5% span length, three QTLs for fiber length uniformity, three QTLs for fiber strength, two QTLs for fiber elongation and two QTLs for micronaire reading. The QTL controlling fiber-related traits were mainly additive, and meanwhile including dominant and overdominant. Several QTLs affecting different fiber-related traits were detected within the same chromosome region, suggesting that genes controlling fiber traits may be linked or the result of pleiotropy.     

玉米抗纹枯病QTL定位

以玉米自交系R15（抗）×掖478（感）的229个F₂单株为作图群体,构建了包含146个SSR标记位点的遗传连锁图谱,全长1 666 cM,平均图距11.4 cM。通过麦粒嵌入法对F2:4群体进行人工接种纹枯病菌,并以相对病斑高为病级划分标准鉴定了玉米纹枯病的抗性。用复合区间作图法分析抗病QTL及遗传效应,共检测到9个抗性QTL,分布于第1、2、3、4、5、6和10条染色体上,单个QTL可解释表型方差的3.72%~7.19%,其中有2个QTL位于染色体6.01抗病基因簇附近。     

Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton

The improvement of cotton fiber quality has become more important because of changes in spinning technology. Stable quantitative trait loci (QTLs) for fiber quality will enable molecular marker-assisted selection to improve fiber quality of future cotton cultivars. A simple sequence repeat (SSR) genetic linkage map consisting of 156 loci covering 1,024.4 cM was constructed using a series of recombinant inbred lines (RIL) developed from an F₂ population of an Upland cotton (Gossypium hirsutum L.) cross 7235 × TM-1. Phenotypic data were collected at Nanjing and Guanyun County in 2002 and 2003 for 5 fiber quality and 6 yield traits. We found 25 major QTLs (LOD ≥ 3.0) and 28 putative QTLs (2.0 < LOD < 3.0) for fiber quality and yield components in two or four environments independently. Among the 25 QTLs with LOD ≥ 3, we found 4 QTLs with large effects on fiber quality and 7 QTLs with large effects on yield components. The most important chromosome D8 in the present study was densely populated with markers and QTLs, in which 36 SSR loci within a chromosomal region of 72.7 cM and 9 QTLs for 8 traits were detected.     

Genetic mapping of QTLs for horticulture traits in a F2-3 population of bitter gourd (Momordica charantia L.)

An extensive genetic linkage map was constructed for bitter gourd (Momordica charantia L.) via the study of F₂ progenies derived from two cultivated inbred lines (gynoecia Z-1-4 and 189-4-1). The map included 194 loci on 11 chromosomes consisting of 26 EST-SSR loci, 28 SSR loci, 124 AFLP loci, and 16 SRAP loci. This map covered 1005.9 cM with 12 linkage groups. A total of 43 quantitative trait loci (QTLs), with a single QTL associated with 5.1–33.1 % phenotypic variance, were identified on nine chromosomes for 13 horticulture traits by analyzing the F_2-3 families and the genetic linkage map. The 13 horticulture traits which were investigated in three environments included female flower ratios (FFR), first female flower node (FFFN), fruit length, fruit diameter, flesh thickness, fruit shape, fruit pedicel length, fruit length pedicel ratios, fruit weight (FW), fruit numbers per plant (FPP), yield per plant (YPP), stem diameter (SD), and internodes length (IL). One QTL cluster region was detected on Lg-5 which contained the most important QTLs for YPP, FPP, FFFN, FFR, and FW with high contributions to phenotypic variance (5.8–25.4 %).     

QTL mapping of fruit nutritional and flavor components in tomato (<Emphasis Type="Italic">Solanum lycopersicum</Emphasis>) using genome-wide SSR markers and recombinant inbred lines (RILs) from an intra-specific cross

Fruit nutritional and flavor components are important targets for breeding new cultivars of tomato (Solanum lycopersicum L.). We developed 108 recombinant inbred lines (the K39 RILs) in the F₆ generation from a cross between two phenotypically different breeding lines, K03 and K09. A linkage map was constructed using 172 genome-wide simple sequence repeat markers, 3 single-nucleotide polymorphism markers, and 2 phenotypic markers. The K39 RIL map consists of 12 linkage groups (LGs) and covers a genetic distance of 1089 cM. We measured the fruit soluble solids content (SSC), titratable acidity (TA), glutamic acid content (GLU), and lycopene content (LYC) of each line in four generations (F₆, F₈, F₁₀, F₁₁), β-carotene content (CAR) in two generations, and pH in one generation. By composite interval mapping that considered yearly variations in components as non-genetic effects, we detected three quantitative trait loci (QTLs) for SSC, four for TA, two for CAR, and one each for GLU, LYC, and pH. Among them, we found two QTLs for TA in LGs 6 and 11, those for GLU and LYC were candidates for novel QTLs. QTLs detected in this study were clustered in five LGs, but we observed no apparent trade-off relationships among the QTLs in each LG. Being derived from an intra-specific cross of tomato breeding materials, these QTLs can be used in practical breeding for improving fruit quality with low risk of linkage drag.     

Molecular characterization of <Emphasis Type="Italic">Fusarium</Emphasis> head blight resistance from wheat variety Wangshuibai

Fusarium head blight (FHB) is a destructive disease of wheat worldwide. FHB resistance genes from Sumai 3 and its derivatives such as Ning 7840 have been well characterized through molecular mapping. In this study, resistance genes in Wangshuibai, a Chinese landrace with high and stable FHB resistance, were analyzed through molecular mapping. A population of 104 F₂-derived F₇ recombinant inbred lines (RILs) was developed from the cross between resistant landrace Wangshuibai and susceptible variety Alondras. A total of 32 informative amplified fragment length polymorphism (AFLP) primer pairs (EcoRI/MseI) amplified 410 AFLP markers segregating among the RILs. Among them, 250 markers were mapped in 23 linkage groups covering a genetic distance of 2,430 cM. In addition, 90 simple sequence repeat (SSR) markers were integrated into the AFLP map. Fifteen markers associated with three quantitative trait loci (QTL) for FHB resistance (P < 0.01) were located on two chromosomes. One QTL was mapped on 1B and two others were mapped on 3B. One QTL on 3BS showed a major effect and explained up to 23.8% of the phenotypic variation for type II FHB resistance.     

Confirmation of a major QTL on chromosome 10 for maize kernel row number in different environments

Maize kernel row number (KRN) is an important agronomic trait. In this study, 13 quantitative trait loci (QTL) for maize KRN were identified in different environments using F_2:3 and F_2:4 populations developed from two inbred lines. These QTL are distributed on chromosomes 2,3,5,8 and 10, and the genic effects are additive or partially dominant. Using the BC₃F_2:3 populations developed from the same parental lines, QTL of KRN located on chromosomes 5 and 10 were also identified in two environments. Three BC₅F_2:3 populations were used to confirm the major QTL for KRN between ssr1430 and umc1077 on chromosome 10(qKRN10). This result will facilitate the fine mapping and map‐based cloning of this major QTL in the future.     

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.     

转基因抗虫棉产量相关性状QTL的分子标记及定位

 采用亚洲棉渐渗的纤维强度突出的陆地棉优质新品系0-153与陆地棉转基因抗虫新品系sGK9708为亲本,构建了F₂及F_2∶3分离群体。利用3869对SSR引物筛选亲本,得到125对多态性引物。进一步对183个F₂群体单株分析得到150个多态性标记位点,其中100个标记位点连锁,构建20个连锁群,共覆盖660 cM,占棉花总基因组的14.67%,每个连锁群平均包含5个标记位点,标记间平均相距6.6 cM,其中13个连锁群确定了对应的染色体。利用F₂和F_2:3数据,通过复合区间作图,共检测到28个产量及相关因素的QTLs。这些控制产量性状的QTLs只存在于5个连锁群上,成簇分布。与皮棉产量性状有关的2个QTLs,均与其它多个产量相关性状的QTLs在同一个连锁区段内,增效基因遗传效应方向一致,有必要研究其在标记辅助选择中的效果。本研究没有检测到在多世代表现稳定的QTL。因此,需要培育重组自交系,进一步明确产量性状有关QTL的遗传效应。