基于主要表型性状的不同采集地斑茅种质资源遗传多样性分析

为提高斑茅种质资源利用效率,本研究对来自不同地区的76份斑茅种质资源的株高、茎径、节间长、叶长、叶宽、锤度6个表型性状进行遗传多样性分析。结果表明,来自不同地区的斑茅,6个表型性状平均变异系数在14.6%~53.4%之间,其中株高和节间长的变异系数相对较高,分别为53.4%和37.7%;锤度和叶长的变异系数相对较低,分别为19.1%和14.6%。株高、茎径、叶宽、叶长、节间长之间表现为极显著正相关,其中株高与节间长的相关系数最大,为0.818;锤度与株高、节间长呈负相关,相关系数分别为-0.232和-0.263。主成分分析表明,前2个主成分方差累计贡献率高达72.58%,其中第1主成分方差贡献率达到51.21%,第2主成分贡献率为21.37%。采用聚类分析方法,不同的种质资源被分为8大类群,第Ⅴ和Ⅵ类群的种质综合性状表现最好,这2个类群是优良的斑茅种质资源,可在甘蔗育种中加以挖掘利用。     

西瓜品种‘黑皮’对瓜蚜的抗性遗传分析

采用单株蚜量比值法室内鉴定与RAPD、SCAR标记相结合的方法,系统开展了西瓜品种‘黑皮’对瓜蚜的抗性遗传分析。结果表明,以‘黑皮’和‘花绿’为亲本的杂交F₁代对瓜蚜表现为抗性,自交F₂代植株表型出现抗感性分离,抗蚜与感蚜植株分离比经χ²测验符合3∶1分离规律,并用筛选获得的RAPD标记WO4₆₀₀和SCAR标记WO4-S₅₃₀验证了4个抗蚜品种、4个感蚜品种和10个F₂抗蚜单株、10个F₂感蚜植株。结果以‘黑皮’为亲本的西瓜抗蚜性由单显性核基因控制且能稳定遗传,‘黑皮’‘绿美人’‘黑美人’和‘惠兰’品种对瓜蚜具有良好抗性,‘花绿’‘凤光’‘蕙宝’和‘甜美人’品种则易感蚜虫。     

野茼蒿黄脉病毒的田间寄主范围及其基因多样性特征

为明确野茼蒿黄脉病毒(Crassocephalum yellow vein virus,CraYVV)的田间寄主范围及其群体基因结构特征,分别采用克隆和测序技术对采自云南省西双版纳傣族州、红河哈尼族彝族自治州的7种杂草和2种作物进行CraYVV的分离和鉴定,并通过生物信息学软件对分离到的CraYVV进行基因组结构、重组及基因遗传结构分析。结果显示,在赛葵、龙葵、臭牡丹、水茄、豨莶、野茼蒿和一点红7种杂草以及茄子和草莓2种作物中均分离到CraYVV,共获得20条CraYVV全长序列;CraYVV所有分离物分属2个株系,将其命名为YJ株系和JH株系;JH株系具有地理隔离特征,与YJ株系存在一定的遗传距离;重组分析显示,CraYVV是由烟草曲茎病毒(tobacco curly shoot virus,TbCSV)和云南烟草曲叶病毒(tobacco leaf curl Yunnan virus,TbLCYnV)重组产生;遗传结构分析显示,CraYVV中C1基因变异最显著,其次是C4基因和基因间隔区。表明CraYVV能侵染5科9种杂草和作物,具有较广的寄主范围,且菜豆金色花叶病毒属病毒能够侵染草莓、CraYVV能够侵染茄子,显示来源于杂草的菜豆金色花叶病毒属病毒在自然条件下能够侵染作物。     

Precipitation forecasting by large-scale climate indices and machine learning techniques

Global warming is one of the most complicated challenges of our time causing considerable tension on our societies and on the environment. The impacts of global warming are felt unprecedentedly in a wide variety of ways from shifting weather patterns that threatens food production, to rising sea levels that deteriorates the risk of catastrophic flooding. Among all aspects related to global warming, there is a growing concern on water resource management. This field is targeted at preventing future water crisis threatening human beings. The very first stage in such management is to recognize the prospective climate parameters influencing the future water resource conditions. Numerous prediction models, methods and tools, in this case, have been developed and applied so far. In line with trend, the current study intends to compare three optimization algorithms on the platform of a multilayer perceptron (MLP) network to explore any meaningful connection between large-scale climate indices (LSCIs) and precipitation in the capital of Iran, a country which is located in an arid and semi-arid region and suffers from severe water scarcity caused by mismanagement over years and intensified by global warming. This situation has propelled a great deal of population to immigrate towards more developed cities within the country especially towards Tehran. Therefore, the current and future environmental conditions of this city especially its water supply conditions are of great importance. To tackle this complication an outlook for the future precipitation should be provided and appropriate forecasting trajectories compatible with this region's characteristics should be developed. To this end, the present study investigates three training methods namely backpropagation (BP), genetic algorithms (GAs), and particle swarm optimization (PSO) algorithms on a MLP platform. Two frameworks distinguished by their input compositions are denoted in this study: Concurrent Model Framework (CMF) and Integrated Model Framework (IMF). Through these two frameworks, 13 cases are generated: 12 cases within CMF, each of which contains all selected LSCIs in the same lead-times, and one case within IMF that is constituted from the combination of the most correlated LSCIs with Tehran precipitation in each lead-time. Following the evaluation of all model performances through related statistical tests, Taylor diagram is implemented to make comparison among the final selected models in all three optimization algorithms, the best of which is found to be MLP-PSO in IMF.     

卷丹转基因体系构建及岷江百合LrCCoAOMT的导入

以卷丹（Lilium lancifolium Thunb.）无菌小鳞片为试材,通过切片处理、优化农杆菌侵染浓度与时间以及重悬液和共培养基成分,构建农杆菌介导的高效遗传转化体系。结果表明,MS + 1.5 mg ? L-1 6-BA + 0.5 mg ? L-1 NAA + 30 g ? L-1蔗糖是切片芽分化的最佳培养基,添加100 mg ? L-1抗坏血酸能有效抑制褐化并促进不定芽增殖。MS + 2.0 mg ? L-1 NAA + 30 g ? L-1蔗糖是生根诱导的最佳培养基。抗生素敏感性测试发现,培养基中添加Kan 100 mg ? L-1或Hyg 75 mg ? L-1 结合Cef 400 mg ? L-1适宜抗性筛选。GUS染色分析表明,以去除大量元素的改良MS + 100 μmol ? L-1 AS和去除大量元素的改良MS + 1.0 mg ? L-1 6-BA + 1.0 mg ? L-1 NAA + 100 μmol ? L-1 AS为重悬液和共培养基,将切片在农杆菌菌液浓度OD600为0.4,侵染15 min,获得81.72% 瞬时转化率和25.2% 稳定遗传转化率。将岷江百合LrCCoAOMT转化卷丹,分子检测和GUS染色分析表明已获得转基因阳性株系。     

基于叶绿体DNA分析的楸子种质遗传多样性研究

利用4对叶绿体DNA引物扩增49份楸子[Malus prunifolia（Willd.）Borkh.]种质资源的4个叶绿体DNA基因间区trnH-psbA、trnS-trnG spacer + intron、trnT-5′trnL和5′trnL-trnF序列,基于4个叶绿体DNA基因间区的序列变异,从母系遗传的角度评价楸子的遗传多样性水平。结果显示：4个叶绿体DNA基因间区序列经测序、拼接、比对和合并之后的片段长度为3 790 bp,共有173个多态性变异位点,其中包含2个单一突变位点、20个简约信息位点和151个插入/缺失位点。在49份楸子种质中,trnH-psbA、trnS-trnG spacer + intron、trnT-5′trnL和5′trnL-trnF区域的变异位点的数量分别为26个、25个、120个和2个,单倍型数量分别为9个、7个、8个和3个,合并之后的叶绿体DNA片段的单倍型有14个。核苷酸多样性和单倍型多样性最高的区域均为trnH-psbA（Hd = 0.775,Pi = 0.02143）,最低的为5′trnL-trnF（Hd = 0.481,Pi = 0.00072）。49份楸子种质4个叶绿体DNA区域合并后的遗传多样性较高（Hd = 0.854,Pi = 0.00949）。Tajima’s D检验中,4个叶绿体DNA区域在P > 0.10水平上均不显著,楸子的4个叶绿体DNA区域在进化上遵循中性进化模型。楸子的遗传变异主要存在于群体内部,不同居群间基因交流频繁,多数居群间遗传分化较少,与地理距离不完全相关。     

甜瓜嫩果皮颜色遗传规律研究

为探究甜瓜嫩果皮颜色的遗传规律,以甜瓜嫩果皮颜色为深绿色的S26和青色的S28为亲本材料,通过构建BC1群体,利用卡方测验,分析回交群体BC1的深绿色嫩果皮和青色嫩果皮的分离比例,开展甜瓜嫩果皮的遗传规律分析,以对嫩果皮颜色基因进行初步定位。结果表明：BC1群体表型表现为深绿色和青色2种,且群体比例为1∶1,从而确定颜色性状为单基因控制且深绿色为显性性状。通过分离群体分组分析法（BSA）和混池测序结果可以看出,控制甜瓜嫩果皮颜色的基因位于chr04的端部位置,这为后续基因的精细定位以及克隆提供了研究基础。     

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.