玉米株高和穗位高的QTL定位

摘要: 用玉米自交系掖478和丹340构建了397个F_2:3家系群体, 利用双亲间多态的150个共显性SSR标记绘制分子连锁图谱, 图谱总长度1 478.7 cM, 标记间平均距离10.0 cM。在5种环境下对株高和穗位高性状进行鉴定, 复合区间作图法检测到21个株高QTL和25个穗位高QTL。于第1和5染色体的umc2025－umc1035及umc1822－bnlg1118区域检测到平均贡献率分别为12.2%和14.9%的株高QTL。于第3和5染色体的phi029－umc1102及phi109188－bnlg1118区域检测到平均贡献率达到10.2%和22.8%的穗位高QTL。第5染色体的Bin5.05－5.07区域可能存在控制株高和穗位高的主效QTL。株高和穗位高的基因作用方式主要是加性和部分显性效应。文章还分析了群体大小及试验环境对株高和穗位高QTL定位结果的影响     

玉米耐旱功能标记辅助选择初探

干旱是影响玉米生产的主要因素之一,培育耐旱品种可以有效地保持其在干旱环境下的产量稳定性。随着生物信息学数据库的不断完善及基因组学技术的发展,耐旱通用QTL(Quantitative trait locus)的发掘为分子育种提供了新的机遇和方法。本研究在已发掘的耐旱通用QTL基础上,选取相关的18个连锁标记进行开发并且验证在不同种质背景下24份玉米自交系的耐旱性。结果表明,共检测出42个多态性位点,平均多态性信息量为0.4245;通过GGT32(Graphical GenoTypes)图示基因型软件分析SSR位点,得出umc2217、umc2029、phi099、umc1213和phi022这5个连锁标记可用来初步鉴定玉米耐旱性;利用卡方检验,得出phi022和umc2217均达到显著水平,其与耐旱密切相关。因此,这几个连锁标记不仅可被用于相应群体的耐旱分子标记辅助选择,而且为以后的标记辅助选择及抗旱性基因克隆的研究打下基础。     

Molecular tagging and genetic mapping of the disease resistance gene<Emphasis Type="Italic"> RppQ</Emphasis> to southern corn rust

Southern corn rust (SCR), Puccinia polysora Underw, is a destructive disease in maize (Zea mays L.). Inbred line Qi319 is highly resistant to SCR. Results from the inoculation test and genetic analysis of SCR in five F₂ populations and five BC₁F₁ populations derived from resistant parent Qi319 clearly indicate that the resistance to SCR in Qi319 is controlled by a single dominant resistant gene, which was named RppQ. Simple sequence repeat (SSR) analysis was carried out in an F₂ population derived from the cross Qi319×340. Twenty SSR primer pairs evenly distributed on chromosome10 were screened at first. Out of them, two primer pairs, phi118 and phi 041, showed linkage with SCR resistance. Based on this result, eight new SSR primer pairs surrounding the region of primers phi118 and phi 041 were selected and further tested regarding their linkage relation with RppQ. Results indicated that SSR markers umc1,318 and umc 2,018 were linked to RppQ with a genetic distance of 4.76 and 14.59 cM, respectively. On the other side of RppQ, beyond SSR markers phi 041 and phi118, another SSR marker umc1,293 was linked to RppQ with a genetic distance of 3.78 cM. Because the five linkage SSR markers (phi118, phi 041, umc1,318, umc 2,018 and umc1,293) are all located on chromosome 10, the RppQ gene should also be located on chromosome 10. In order to fine map the RppQ gene, AFLP (amplified fragment length polymorphism) analysis was carried out. A total 54 AFLP primer combinations were analyzed; one AFLP marker, AF1, from the amplification products of primer combination E-AGC/M-CAA, showed linkage with the RppQ gene in a genetic distance of 3.34 cM. Finally the RppQ gene was mapped on the short arm of chromosome 10 between SSR markers phi 041 and AFLP marker AF1 with a genetic distance of 2.45 and 3.34 cM respectively.Communicated by H. F. Linskens     

Generation and mapping of SCAR and CAPS markers linked to the seed coat color gene in Brassica napus using a genome-walking technique.

The yellow seed coat trait in No. 2127-17, a resynthesized purely yellow Brassica napus line, is controlled by a single partially dominant gene, Y. A double-haploid population derived from the F1 of No. 2127-17 x 'ZY821' was used to map the seed coat color phenotype. A combination of AFLP analysis and bulked segregant analysis identified 18 AFLP markers linked to the seed coat color trait. The 18 AFLP markers were mapped to a chromosomal region of 37.0 cM with an average of 2.0 cM between adjacent markers. Two markers, AFLP-K and AFLP-H, bracketed the Y locus in an interval of 1.0 cM, such that each was 0.5 cM away from the Y locus. Two other markers, AFLP-A and AFLP-B, co-segregated with the seed color gene. For ease of use in breeding programs, these 4 most tightly linked AFLP markers were converted into reliable PCR-based markers. SCAR-K, which was derived from AFLP-K, was assigned to linkage group 9 (N9) of a B. napus reference map consisting of 150 commonly used SSR (simple sequence repeat) markers. Furthermore, 2 SSR markers (Na14-E08 and Na10-B07) linked to SCAR-K on the reference map were reversely mapped to the linkage map constructed in this study, and also showed linkage to the Y locus. These linked markers would be useful for the transfer of the dominant allele Y from No. 2127-17 to elite cultivars using a marker-assisted selection strategy and would accelerate the cloning of the seed coat color gene.     

控制玉米雄穗分枝数目和雄穗重的主效QTL的定位

利用2套具有共同亲本黄早四且分别含有230个及235个家系的F2：3群体,结合2年多点的表型鉴定,运用完备复合区间作图方法对不同生态环境下（2007-北京、2008-北京、2007-河南、2008-河南、2007-新疆以及2008-新疆）的玉米雄穗分枝数和雄穗重进行QTL定位。同时,利用基于混合线性模型的QTLNetwork-2.0软件进行基因×环境互作及上位性分析。6个环境下2个群体共检测到51个与雄穗分枝数和雄穗重相关的QTL（Q/H群体32个,Y/H群体19个）,其中包括7个主效QTL,并在Q/H群体中确定了2个重要的QTL,即位于7.01bin的Qqtpbn7-1和位于7.02bin的Qqtw7-2。对比2个群体的定位结果,共挖掘到3个在不同遗传背景下的＂一致性＂QTL,这些在不同环境及不同遗传背景下能够稳定存在的QTL可为玉米雄穗相关性状的生产应用以及精细定位提供有价值的参考。     

Genome-wide analysis of maize cytoplasmic male sterility-S based on QTL mapping

Three types of sterile cytoplasm in cytoplasmic-male-sterility (CMS) maize, T, C and S, can be identified according to their fertility-restoration and mitochondrial DNA RFLP patterns. CMS-S, which is the least stable among the three types of CMS, is controlled by sterile cytoplasm interactions with certain nuclear-encoded factors. We constructed a high-resolution map of loci associated with male-restoration of CMS-S in BC1 populations of maize. The map covers 1730.29 cM, including 32 RFLP, 51 SSR 62 RAPD and 21 AFLP markers. Genome-wide QTL analysis detected 6 QTLs with significant effects on male fertility as assessed by their starch-filled pollen ratios. Four QTLs out of six were located between the SSR markers MSbnlg1633-Mrasg20, MSbnlg1662-Msume1126, MSume1230-MSumc1525, and RAPD marker MraopQ07-2-MraopK06-2 on chromosome 2. Two other minor loci were mapped between MraopK16-1-Mraopi4-1, on chromosome 9, and between Msuncbnlg1139-MraopR10-2, on chromosome 6. The Rf3 nuclear restoring gene was precisely located on the chromosome 2, 2.29 cM to the left of umc1525 and 8.9 cM to the right of umc1230. The results provide important markers for marker-assisted selection of stable CMS-S maize.     

玉米籽粒重金属铅(Pb2+)含量的QTL定位

铅(Pb²⁺)是现存环境最大量的有毒重金属污染元素,在我国特别是西南地区种植的玉米受重金属Pb²⁺污染日益严重,已严重影响到食物安全。文章利用玉米籽粒Pb²⁺低富集自交系178和籽粒Pb²⁺高富集自交系9782杂交衍生的重组自交系群体为作图群体,利用165对SSR多态性标记,构建了总长度为1499.85 cM、标记间平均距离为9.07 cM的分子遗传图谱,对玉米籽粒Pb²⁺含量性状进行了QTL定位分析,以期为选育籽粒低富集Pb²⁺的玉米新品种提供参考。结果表明,在Pb²⁺浓度为333.32 mg/kg胁迫下,共检测到2个与籽粒Pb²⁺含量相关的QTL,分别位于玉米第1、第4号染色体,其中qPC1位于标记区间umc1661~phi002h之间,表型贡献率为11.13%,加性效应为0.062;qPC4位于umc1117~nc005之间,表型贡献率为5.55%,加性效应为-0.044。性状相关分析结果表明,籽粒中Pb²⁺含量与穗长、穗粗、行粒数、穗重和百粒重等产量性状间均未达到显著水平,表明选育玉米籽粒Pb²⁺低富集的新自交系或杂交种不一定会影响到产量性状,而且籽粒Pb²⁺含量是一个相对独立的遗传性状。     

控制玉米雄穗分枝数目和雄穗重的主效QTL的定位

利用2套具有共同亲本黄早四且分别含有230个及235个家系的F_2:3群体, 结合2年多点的表型鉴定, 运用完备复合区间作图方法对不同生态环境下(2007-北京、2008-北京、2007-河南、2008-河南、2007-新疆以及2008-新疆)的玉米雄穗分枝数和雄穗重进行QTL定位。同时, 利用基于混合线性模型的QTLNetwork-2.0软件进行基因×环境互作及上位性分析。6个环境下2个群体共检测到51个与雄穗分枝数和雄穗重相关的QTL(Q/H群体32个, Y/H群体19个), 其中包括7个主效QTL, 并在Q/H群体中确定了2个重要的QTL, 即位于7.01bin的Qqtpbn7-1和位于7.02bin的Qqtw7-2。对比2个群体的定位结果, 共挖掘到3个在不同遗传背景下的“一致性”QTL, 这些在不同环境及不同遗传背景下能够稳定存在的QTL可为玉米雄穗相关性状的生产应用以及精细定位提供有价值的参考。     

玉米自交系CML470抗南方锈病基因的定位

南方锈病是我国玉米产区的主要病害,玉米抗病品种的利用是控制其为害的一条最为安全和经济的途径。但是,在我国当前的玉米育种中,所利用的玉米南方锈病基因多来自美国杂交种78599等。为寻找新的南方锈病抗病基因,本研究对CIMMYT自交系CML470的抗性进行了遗传分析。结果发现CML470的抗性由一个显性抗病基因（定名为RppC）控制,该抗病基因被定位于10号染色体短臂端部,位于SSR标记umc1380和umc1291之间,分别与两标记相距3.5 cM和8.8 cM。通过回交,并利用分子标记辅助选择,RppC被转移到了优良自交系昌7-2中。     

甘蓝型油菜千粒重性状的QTL初步定位研究

千粒重是油菜重要的产量相关性状之一,构建油菜遗传连锁图谱是研究其产量性状基因的前提。本研究利用小孢子培养技术,选育出了甘蓝型油菜大粒品系(G-42)和小粒品系(7-9)的纯合DH系DH-G-42和DH-7-9,其千粒重分别为6.24 g和2.42 g,二者比值达2.58。以DH-G-42为母本、DH-7-9为父本,构建了含190个单株的F2遗传作图群体,利用SSR和SRAP标记技术绘制遗传连锁图谱,该图谱共包含20个连锁群,涉及128个SSR标记和100个SRAP标记,图谱总长1546.6cM,标记间平均图距为6.78cM。本研究共检测到3个与千粒重性状相关的QTL,分别位于A9和C1连锁群,其中qSW-A9-1和qSW-A9-2贡献率分别达到10.98%和27.45%,均可视为控制粒重的主效QTL。本研究为后续进行油菜千粒重性状QTL的精细定位分析、分子标记辅助选择育种及新基因的克隆等奠定了基础。     

一个玉米旱敏感突变体的遗传分析与基因定位

玉米干旱胁迫相关突变体在发掘玉米耐旱关键基因研究中具有重要利用价值。在玉米自交系综31的田间扩繁过程中,发现一个玉米干旱胁迫敏感的自然突变体,该突变体在轻度干旱条件下叶片发生卷曲,严重干旱时叶尖变黄,衰老坏死。遗传分析表明突变性状受1对主效单基因控制,表现为隐性遗传,将突变基因命名为DS。利用B73与突变体ds组配F2分离群体,以干旱条件下叶片是否卷曲为指标,将DS基因初定位在第3号染色体SSR标记umc1772和umc2158之间,物理距离为5 Mb。以上研究结果为该基因的克隆及功能分析奠定了基础。     

Genetic mapping of the Isaac-CACTA transposon in maize

We constructed a genetic linkage map with Isaac-TD, SSR, and SNAP markers in a RIL population which had been derived from a cross of waxy corn (KW7) and dent corn (Mo17). A total of 368 markers, including 241 Isaac-TD, 121 SSR, and 6 SNAP markers, were assigned to 10 linkage groups, encompassing 1687.0 cM, with an average genetic distance of 4.6 cM between markers. SSR markers were utilized as chromosome anchors, in order to assign the Isaac-TD markers to the chromosomes, and the number of markers in each of the linkage groups ranged between 22 and 49. The majority of the Isaac-TD markers were determined to have been distributed throughout the ten maize chromosomes. In linkage analysis of the Isaac-TD markers with genes of agronomic interest, six genes related with maize kernel starch biosynthesis, ae1, bt2, sh1, sh2, su1, and wx1, were analyzed and shown that they were closely linked with either the Isaac-TD or SSR markers on chromosomes of 3, 4, 5, and 9. We observed and mapped segregation-distorted markers on chromosomes 1, 5, 6, 7, 8, and 10, where these markers were clustered. The Isaac-TD or SSR markers which were closely linked with starch synthesis genes may prove useful in marker-assisted breeding programs.     

Development of SSR markers derived from SSR-enriched genomic library of eggplant (<Emphasis Type="Italic">Solanum melongena</Emphasis> L.)

Eggplant (Solanum melongena L.), also known as aubergine or brinjal, is an important vegetable in many countries. Few useful molecular markers have been reported for eggplant. We constructed simple sequence repeat (SSR)-enriched genomic libraries in order to develop SSR markers, and sequenced more than 14,000 clones. From these sequences, we designed 2,265 primer pairs to flank SSR motifs. We identified 1,054 SSR markers from amplification of 1,399 randomly selected primer pairs. The markers have an average polymorphic information content of 0.27 among eight lines of S. melongena. Of the 1,054 SSR markers, 214 segregated in an intraspecific mapping population. We constructed cDNA libraries from several eggplant tissues and obtained 6,144 expressed sequence tag (EST) sequences. From these sequences, we designed 209 primer pairs, 7 of which segregated in the mapping population. On the basis of the segregation data, we constructed a linkage map, and mapped the 236 segregating markers to 14 linkage groups. The linkage map spans a total length of 959.1 cM, with an average marker distance of 4.3 cM. The markers should be a useful resource for qualitative and quantitative trait mapping and for marker-assisted selection in eggplant breeding.     

Fine mapping a major QTL for kernel number per row under different phosphorus regimes in maize (Zea mays L.)

Phosphorus (P) is one of the essential macronutrients for plant growth and development. Grain yield is the primary trait of interest in maize breeding programs. Maize grain yield and yield-related traits are seriously affected by P deficiency. Kernel number per row (KN), as one of the major components of grain yield, has attracted the attention of more and more breeders. In our previous study, one major QTL (named qKN), controlling KN under different P regimes was mapped to the interval between molecular markers bnlg1360 and umc1645 on chromosome 10 using a F _2:3 population derived from the cross between maize inbreds 178 and 5,003 (107). In order to understand its genetic basis, we developed a population of near isogenic lines (NILs) and two P regimes were used to fine map and characterize qKN. The QTL qKN was finally localized in a region of ~480 kb. A single qKN allele of inbred 178 increased KN by 6.08–10.76 % in the 5,003 (107) background; qKN acted in a partially dominant manner. Our results will be instrumental for the future identification and isolation of the candidate gene underlying qKN. The tightly linked molecular markers that we developed for qKN will be useful in maize breeding programs for improving KN applying the marker-assisted selection.     

RAPD和SSR两种标记构建的中国对虾遗传连锁图谱

利用RAPD和SSR分子标记结合拟测交策略,对中国对虾(Fenneropenaeuschinensis)“黄海1号”雌虾与野生雄虾作为亲本进行单对杂交产生的F1代,采用RAPD和SSR两种分子标记技术初步构建了中国对虾雌、雄遗传连锁图谱。对460个RAPD引物和44对SSR引物进行筛选,共选出61个RAPD引物和20对SSR引物,用于对父母本和82个F1个体进行遗传分析。共得到母本分离标记146个(RAPD标记128个,微卫星标记18个)和父本分离标记127个(RAPD标记109个,微卫星标记18个)。雌性图谱包括8个连锁群、9个三联体和14个连锁对,标记间平均间隔为11·28cM,图谱共覆盖1173cM,覆盖率为59·36%;雄性图谱包括10个连锁群、12个三联体和7个连锁对,标记间平均间隔为12·05cM,图谱共覆盖1144·6cM,覆盖率为62·01%。中国对虾遗传图谱的构建为其分子标记辅助育种、比较基因组作图及数量性状位点的定位与克隆奠定了基础。     

QTL mapping of resistance to Fusarium ear rot using a RIL population in maize

Fusarium ear rot is a prevalent disease in maize, reducing grain yields and quality. Resistance breeding is an efficient way to minimize losses caused by the disease. In this study, 187 lines from a RIL population along with the resistant (87-1) and susceptible (Zong 3) parents were planted in Zhengzhou and Beijing with three replications in years 2004 and 2006. Each line was artificially inoculated using the nail-punch method. Significant genotypic variation in response to Fusarium ear rot was detected in both years. Based on a genetic map containing 246 polymorphic SSR markers with average genetic distances of 9.1 cM, the ear-rot resistance QTL were firstly analyzed by composite interval mapping (CIM). Three QTL were detected in both Zhengzhou and Beijing in 2004; and three and four QTL, respectively, were identified in 2006. The resistant parent contributed all resistance QTL. By using composite interval mapping and a mixed model (MCIM), significant epistatic effects on Fusarium ear rot as well as interactions between mapped loci and environments were observed across environments. Two QTL on chromosome 3 (3.04 bin) were consistently identified across all environments by the two methods. The major resistant QTL with the largest effect was flanked by markers umc1025 and umc1742 on chromosome 3 (3.04 bin), explaining 13–22% of the phenotypic variation. The SSR markers closely flanking the major resistance QTL will facilitate marker-assisted selection (MAS) of resistance to Fusarium ear rot in maize breeding programs.     

Quantitative trait locus analysis of drought tolerance and yield in Maize in China

Drought accounts for significant yield losses in crops. Maize (Zea mays L.) is particularly sensitive to water stress at reproductive stages, and breeding to improve drought tolerance has been a challenge. By use of a linkage map with 121 single sequence repeat (SSR) markers, quantitative trait loci (QTLs) for grain yield and yield components were characterized in the population of the cross X178×B73 under water-stressed and well-watered conditions. Under the well-watered regime, 2, 4, 4, 1, 2, 2, and 3 QTLs were identified for grain yield, 100-kernel weight, kernel number per ear, cob weight per ear, kernel weight per ear, ear weight, and ear number per plant, respectively, whereas under the water-stressed conditions, 1, 5, 2, 6, 1, 3, and 2 QTLs, respectively, were found. The significant phenotypic correlations among yield and yield components to some extent were observed under both water conditions, and some overlaps between the corresponding QTLs were also found. QTLs for grain yield and kernel weight per ear under well-watered conditions and ear weight under both well-watered and water-stressed conditions over-lapped, and all were located on chromosome 1.03 near marker bnlg176. Two other noticeable QTL regions were on chromosome 9.05 and 9.07 near markers umc1657 and bnlg1525; the first corresponded to grain yield, kernel weight per ear, and ear weight under well-watered conditions and kernel number per ear under both water conditions, and the second to grain yield and cob weight per ear under water-stressed conditions and ear number per plant under both water conditions. A comparative analysis of the QTLs herein identified with those described in previous studies for yield and yield components in different maize populations revealed a number of QTLs in common. These QTLs have potential use in molecular marker-assisted selection.     

玉米隐性核不育突变体ms14的遗传分析与基因定位

玉米雄性不育材料是一种宝贵的种质资源,不育基因的遗传分析与定位研究对玉米分子育种和杂种优势利用具有重要价值。通过对从美国引进的玉米雄性不育突变体材料ms14进行雄花育性鉴定和花药I₂-KI染色,表明该突变体是无花粉型雄性不育;通过不育突变体ms14与正常自交系郑58、昌7-2杂交获得F₁,然后自交构建两个F₂遗传分离群体（ms14×郑58和ms14×昌7-2）,并进行雄花育性调查、数据统计和遗传分析,发现可育株数与不育株数的分离比是3∶1,表明该突变体由隐性单基因控制;通过SSR等分子标记与不育位点的连锁分析,将ms14基因定位在玉米第1染色体的SSR标记umc2025和umc1676之间,遗传距离分别是2.2cM和0.3cM。对玉米不育基因ms14的遗传分析和初步定位,为该基因的精细定位和克隆、不育机理的解析及其产业化应用奠定了基础。     

抗茎腐病分子标记在159份玉米自交系中的验证及实用性评价

为了评价抗茎腐病基因分子标记在辅助育种中的实用性,本研究对159份玉米自交系进行了茎腐病田间抗性鉴定,并检测了与4个茎腐病抗性QTL(qRfg1、qRfg2、Rpi QI319-1和Rpi QI319-2)紧密连锁的11个分子标记在上述材料中的扩增情况。结果表明:供试玉米自交系的平均发病率为26.30%,发病率低于30.0%的材料占67.92%,抗病资源丰富。来源于国外、东北、西南和黄淮海地区的材料平均发病率分别为27.67%、17.92%、15.12%和36.80%,与东北和西南地区种质相比,黄淮海地区抗性种质相对缺乏。通过比较分子标记扩增带型与田间茎腐病表型,发现与同一QTL连锁的不同分子标记的检测结果存在较大差异,其中分子标记STS01(qRfg1)、STSZ479(qRfg2)、bnlg1866(Rpi QI319-1)和bnlg1716(Rpi QI319-2)的阳性检测结果与田间表型符合度较高,分别为76.79%、78.95%、91.67%、73.33%,具有上述特异扩增多态性的材料平均发病率分别为22.06%、19.01%、10.65%、19.63%,可作为抗茎腐病分子检测的有效标记。本研究为开展玉米抗茎腐病分子育种提供了重要参考。     

Characterization and mapping of <Emphasis Type="Italic">Rpi1</Emphasis>, a gene that confers dominant resistance to stalk rot in maize

The maize inbred lines 1145 (resistant) and Y331 (susceptible), and the F₁, F₂ and BC₁F₁ populations derived from them were inoculated with the pathogen Pythium inflatum Matthews, which causes stalk rot in Zea mays. Field data revealed that the ratio of resistant to susceptible plants was 3:1 in the F₂ population, and 1:1 in the BC₁F₁population, indicating that the resistance to P. inflatum Matthews was controlled by a single dominant gene in the 1145×Y331 cross. The gene that confers resistance to P. inflatum Matthews was designated Rpi1 for resistance to P. inflatum) according to the standard nomenclature for plant disease resistance genes. Fifty SSR markers from 10 chromosomes were first screened in the F₂ population to find markers linked to the Rpi1 gene. The results indicated that umc1702 and mmc0371 were both linked to Rpi1, placing the resistance gene on chromosome 4. RAPD (randomly amplified polymorphic DNA) markers were then tested in the F₂population using bulked segregant analysis (BSA). Four RAPD products were found to show linkage to the Rpi1 gene. Then 27 SSR markers and 8 RFLP markers in the region encompassing Rpi1 were used for fine-scale mapping of the resistance gene. Two SSR markers and four RFLP markers were linked to the Rpi1 gene. Finally, the Rpi1 gene was mapped between the SSR markers bnlg1937 and agrr286 on chromosome 4, 1.6 cM away from the former and 4.1 cM distant from the latter. This is the first time that a dominant gene for resistance to maize stalk rot caused by P. inflatum Matthews has been mapped with molecular marker techniques.