200份陆地棉种质资源农艺性状遗传多样性分析

【目的】 研究本地棉花种质基因库,筛选出适于作杂交亲本的种质资源。【方法】 以200份棉花种质资源为材料,研究其形态指标的变异情况和遗传多样性,并以形态指标对 200 份种质进行聚类分析。【结果】 21个形态指标遗传多样性指数(H′)变幅范围在0~1.02。所有材料可划分成6大类,其中第1大类30份材料,茎色紫红色,种子短绒颜色灰褐色材料为主,可以作为彩色棉花育种资源;以170177为主的20份材料种子短绒着生稀毛,种子短绒颜色绿褐色可以作为早熟、无酚、耐高温的育种材料;第6大类50份,所占比例较大。【结论】 200份种质资源的遗传多样性丰富,第6大类50份,可以作为目前新疆育种材料亲本,主要特征为株型塔型,无茎毛,叶色深绿色,叶片大小中,无叶基斑,有限果枝类型,黄色花冠,黄色花药,种子短绒着生情况多毛,种子短绒颜色灰绿色,有种仁色素腺体,吐絮颜色白色。     

新疆春小麦育成品种遗传演变分析

【目的】研究新疆春小麦育成品种遗传演变规律,提高小麦资源的利用效率,为新疆春小麦品种选育和改良提供参考依据。【方法】以新疆春小麦育成品种为材料,对其主要性状进行综合评价分析,以春小麦90K芯片开展新疆春小麦育成种亲缘关系分析。【结果】新疆春小麦育成种遗传多样性丰富,平均遗传多样性指数2.005,变幅为1.902~2.181。相关性分析结果表明,蛋白质含量、湿面筋含量、穗粒数与育种年代呈极显著正相关。新疆春小麦品种选育主要是通过常规杂交育种、杂交辐射诱变育种、引种3种方式。利用小麦90K芯片将新疆春小麦育成种划分为3个类群,显示了各品种之间的亲缘关系。【结论】新疆春小麦育种遗传基础薄弱、遗传多样性逐渐散失,新疆小麦育种应加强资源收集与利用,扩大育种亲本选择,提高品种变异的丰度和广度,以多抗、高产稳产、优质高效的聚合育种,加快新品种选育进程,提高育种效率。     

18份杨树资源的遗传多样性分析

【目的】正确评价杨树资源的遗传多样性，为其新品种选育和资源利用提供理论依据。【方法】以来自黑杨派和白杨派的18个杨树无性系为试验材料，利用聚丙烯酰胺凝胶电泳从84对SSR引物中初步筛选出多态性较好的12对，再利用12对SSR荧光引物构建18个杨树无性系的指纹图谱并进行遗传多样性分析，同时依据遗传相似系数构建聚类图并进行亲缘关系分析。【结果】筛选出的12对引物共检测到91个多态性位点，每对引物检测到的多态性位点为4~12个，平均为7.6个，观测杂合度平均为0.482 8，Shannon信息指数平均为1.801 5，Nei’s基因多样性指数平均为0.794 8；通过引物PMGC-2385和PMGC-2500构建了18个无性系的指纹图谱，该指纹图谱可将全部无性系区分开。UPGMA聚类分析表明，18个无性系的遗传相似系数在0.549~0.978，平均遗传相似系数为0.764，黑杨派与白杨派无性系遗传相似系数变幅分别在0.681~0.978和0.549~0.912，均具有较高的遗传变异性；18个无性系被分为黑杨与白杨2大类及6个亚群，与传统形态分类学结果基本一致。【结论】18份杨树资源的遗传多样性较为丰富，SSR分子标记技术结合STR分型检测技术在杨树资源的鉴定与分类中具有一定的可靠性。     

安徽省草鱼养殖群体遗传多样性及遗传结构分析

通过微卫星分子标记对来自安徽省4个草鱼养殖群体进行遗传分析。结果表明,7个微卫星位点均具有高度多态性(PIC=0.863～0.926),4个草鱼群体均显示出较高的遗传多样性(He=0.886 1～0.911 4)。AMOVA分析显示,大多数遗传变异存在于草鱼群体内(97.6%),群体间的遗传变异仅为2.4%。遗传分化和遗传距离分析显示,4个群体整体分化水平较低(Fst0.05),怀远和滁州群体遗传分化最小(Fst=0.013 7),遗传距离最近(Dn=0.269 8),池州和无为群体遗传分化最大(Fst=0.042 5),遗传距离最远(Dn=0.591 6)。系统进化树显示,怀远和滁州群体亲缘关系最近,与池州最远。此外,4个养殖场内部草鱼均存在近亲繁殖现象。建议4个养殖场及时更新亲本,增加繁殖亲本的数量,避免近交衰退带来的风险。     

长期继代培养的转基因苹果外源基因遗传及表达稳定性分析

为研究长期继代培养的转基因苹果组培苗中外源基因的遗传及表达稳定性，以继代培养9年的7个转GFP(绿色荧光蛋白)基因苹果株系组培苗为试材，分析转基因株系对Kan(卡那霉素)的抗性、DNA水平、转录水平和转录后水平GFP基因的遗传及表达稳定性。结果表明，在7个苹果转基因株系组培苗中均可检测出GFP特异基因片段，并且均可在含有50 mg/L卡那霉素的培养基上正常生长；绝对定量qRT-PCR检测发现，各转化株系GFP基因拷贝数并不相同；利用相对定量qRT-PCR法检测发现7个株系中GFP基因 mRNA表达量有明显差异，同时荧光显微镜下观察各转化株系叶片，绿色荧光强度有明显差异，利用SPSS软件对7个转基因株系中GFP基因拷贝数与GFP mRNA表达量相关性分析结果呈无显著相关性。以上结果表明，外源基因可以在长期继代培养的转基因苹果组培苗中保持其遗传稳定性，但不同转化株系中外源基因的表达量有显著差异，其表达量与拷贝数无显著相关，可能与外源基因在植物基因组中的插入位点有关。     

68个大豆品种(系)遗传多样性分析

为保持大豆杂种优势利用中亲本的遗传差异,利用64对SSR引物对68个大豆品种(系)包括53个中国品种(系)和15个美国品种进行遗传多样性与亲缘关系分析。结果表明,共检测到375个等位基因变异,平均每个位点检测到的等位变异数为5.86个,变化范围为2～12个,其中53个中国品种(系)检测到373个等位基因变异,平均为5.83个,变化范围为2～12个,15个美国品种检测到288个等位基因变异,平均为4.50个,变化范围为2～9个;总的位点多态性信息含量(PIC)变化范围为0.366～0.900,平均为0.677,其中53个中国品种(系)变化范围为0.370～0.909,平均为0.682,15个美国品种变化范围为0.309～0.817,平均为0.590。聚类分析表明:68个大豆品种(系)的遗传相似系数(GS)变幅为0.529～0.973,平均GS值0.707,在相似系数0.65处,可将供试的品种(系)聚为2大类,第Ⅱ类在相似系数0.69处又可分为5个亚类。     

The use of infrared spectroscopy and machine learning tools for detection of Meloidogyne infestations

Plant parasitic nematodes are generally soilborne pathogens that attack plants and cause economic losses in many crops. The infested plants show nonspecific symptoms or, often, are symptomless; therefore, diagnosis is performed by taking soil and root tissue samples. Here, we show that a combination of different infrared spectra analysis and machine learning algorithms can be used to detect plant parasitic nematode infestations before symptoms become visible, using leaves instead of roots and soil as samples. We found that tomato and guava plants infested with Meloidogyne enterorlobii produced different spectral patterns compared to uninfested plants. Using partial spectra from 1,450 to 900/cm as the "fingerprint region", principal component analyses indicated that after 5 (tomatoes) or 8 weeks (guava), plants with no visible symptoms of infestations were positively diagnosed. To improve the early detection response, we used machine learning modelling. A support vector machine (SVM) was used to obtain more robust, accurate models. The SVM model contained 34 support vectors, 17 for each level. The overall performance of the model was >97% and the total accuracy was significantly higher, demonstrating the absence of chance prediction. The best prediction of infestation was obtained at the second and fourth weeks for tomatoes and guavas, respectively, reducing the diagnostic time by half. The combined application of these techniques reduces the processing time from field to laboratory and shows enormous advantages by avoiding root and soil sampling.     

Strategy to identify resistance to white mould associated with high yield for irrigated common bean in Brazil

Development of common bean cultivars with partial white mould resistance through breeding techniques has been a challenge in Brazil. As yet, lines/cultivars from breeding programmes have not been investigated for resistance; therefore, this study screened 107 lines/cultivars for their reactions to white mould in 14 preliminary trials conducted under irrigation. Thirteen resistant lines/cultivars (three of Andean origin) and six Mesoamerican cultivars (three intermediately resistant and three susceptible) were selected for further investigation. These lines/cultivars and the resistant control A195 were evaluated in six advanced trials and two straw tests to assess the effectiveness of the screening procedure. In 11 preliminary trials, screenings were performed under moderate/high or higher disease pressure. These pressures occurred in two advanced trials in which, when yields were averaged across moderate/high and high pressures, 10 Mesoamerican lines/cultivars selected for resistance yielded 14%, 23%, and 38% more than intermediately resistant cultivars, A195, and susceptible cultivars, with median disease ratings (1–9 scale) of 4.5, 5.7, 5.7, and 6.7, respectively. In the straw test, three Andean lines/cultivars (A195 included) and two susceptible cultivars in the field were among those with the highest levels of physiological resistance. Thus, field rating under high disease pressure and greenhouse rating did not correlate significantly, suggesting that field trials are critical to evaluating resistance and to identifying high-yielding beans. Therefore, lines/cultivars from breeding programmes assessed in field trials may provide a low cost and fast way to identify high-yielding bean cultivars with partial resistance to white mould in the subtropical southern hemisphere.     

五常市杂种落叶松幼龄期变异分析

以5年生36个杂种落叶松家系为材料,测定其树高、胸径生长性状,估算变异系数、遗传力和遗传增益,筛选出优良家系。结果表明:各家系的树高、胸径存在较丰富变异,树高变异系数小于胸径,树高、胸径极显著相关(P<0.01),家系间树高、胸径差异均达极显著差异水平(P<0.01)。以10%的入选率,初选出家系1317、1324、1318、和1327为优良家系,树高平均增益为15.98%,胸径平均增益为29.46%。     

Genetic diversity and aggressiveness of Calonectria pteridis in Eucalyptus spp.

Calonectria leaf blight, caused by Calonectria pteridis, is currently one of the main foliar diseases in eucalypt plantations in Brazil. In warm and high rainfall regions, the disease can be a limiting factor for eucalypt production when planting susceptible genotypes. The most effective method for controlling this disease in the field is the use of resistant genotypes, which requires knowledge of the genetic variability and aggressiveness of the pathogen population for effective deployment of plant resistance. This work evaluated the genetic diversity and aggressiveness of C. pteridis populations obtained from infected eucalypt plants in Monte Dourado (Pará state) and Imperatriz (Maranhão state), Brazil. To study the genetic diversity, 16 ISSR primers were tested, five of which amplified polymorphic, reproducible and informative bands. Thirty-one closely related genotypes were identified from 84 isolates studied, indicating that the population has a low genetic diversity. The aggressiveness of seven isolates, selected according to geographic origin and their clustering in the ISSR-based dendogram, was determined by inoculation of a hybrid Eucalyptus grandis × E. urophylla clone under controlled conditions. Disease severity was assessed by both measuring the percentage of plant defoliation and assigning a score according to a diagrammatic scale of symptoms. A high correlation between the two evaluation methods was observed, which revealed significant differences in aggressiveness among the isolates. The diagrammatic scale is recommended for disease evaluation because results are obtained much faster, before the occurrence of severe defoliation. No correlation between clustering in the ISSR-based phylogenetic analysis and aggressiveness was observed.