不同生态区谷子品种表型鉴定及SSR遗传多样性分析

为了明确不同生态区谷子品种的遗传多样性和遗传结构,本研究对175份来源不同的谷子品种进行29个表型性状鉴定和36对简单序列重复（SSR）标记分析。结果表明,谷子数量性状的平均遗传多样性指数最高,质量性状最低;不同类性状中,单穗码数、开花至成熟日数和粒色遗传多样性指数最高,分别为2.082 8、2.012 5和1.078 7。36对SSR引物中,共检测到401个等位基因,平均11.4个,Shannon指数和多态性信息含量（PIC）平均为2.017 2和0.810 6;标记B142、B225的Shannon指数和PIC值最高,是评价谷子遗传多样性的理想SSR标记。不同生态区表型和SSR标记多样性比较结果表明,春谷中晚熟区（ML）遗传多样性指数最高,春谷早熟区（EM）次之,夏谷区（SS）最低;春谷中晚熟区谷子品种有10个性状指标最高,且全生育期最长。春谷中晚熟区不同类型材料中,汾阳的质量性状遗传多样性指数和SSR标记Shannon指数均最高,长治数量性状遗传多样性指数最高,太原Ⅱ的生育期遗传多样性指数最高;不同类型材料间差异较低,其中7个数量性状指标差异未达显著水平;汾阳的株高最高,出谷率最...     

不同株型谷子产量构成遗传分析

本文应用了夏谷三种株型，12个品系，9个性状的考种结果，通过对其遗传力和有关性状与籽粒产量的相关分析表明，三种株型的谷子在遗传力和遗传相关上存在明显差异。对其差异进行分析和比较，为三种株型谷子的高产育种提供理论依据。     

东北地区水稻品种与日本引进品种遗传多样性比较

利用20个表型性状和40个SSR标记,对我国东北18份水稻选育品种和13份日本引进品种的遗传多样性,共检测到82个表型变异和108个SSR等位基因,其中中国东北水稻品种表型变异数和SSR等位基因数分别为72和103个（平均2.54个）,日本引进品种表型变异数和等位基因数分别为63和94个（平均2.32个）。遗传变异主要...     

寒兰株系间遗传多样性和亲缘关系的SSR分子标记分析

本研究筛选了从春兰和莲瓣兰中开发的7个SSR位点的引物,用于37个寒兰株系的遗传多样性和亲缘关系研究。研究结果表明,7个SSR位点的引物在寒兰中均具有非常好的通用性,而且每个位点在不同的株系中具有特有等位基因,特别是位点CSSR05、CSSR11和195。株系具有的特有等位基因可以用于株系鉴别。7个位点在寒兰株系间具有...     

山东省46个花生品种SSR指纹图谱构建与遗传多样性分析

为从分子水平上快速鉴别花生品种和选配优良杂交组合,以山东省审定的46个花生品种为材料,利用微卫星(SSR)标记进行DNA指纹图谱的构建和遗传多样性分析。从788对SSR引物中筛选出50对多态性高、稳定性好、谱带清晰的引物,共检测到175个等位位点,其中122个为多态性位点,多态性比率达70.52%;每对SSR引物扩增出的等位位点数为2~7个,多态性信息量变化范围为0.6753~0.8412,平均为0.823。此外,利用14对引物可将46份材料完全区分开。聚类分析表明,在相似系数0.77处,所有供试材料聚为一类,在相似系数0.80处,仍有76%的材料聚在一起。利用SSR标记构建的指纹图谱可为花生种质资源管理及育种实践提供依据。     

利用SSR标记分析藜麦品种的遗传多样性

为了解藜麦种质资源的多样性,本研究利用SSR引物对所搜集的41个藜麦种质的多态性及其亲缘关系进行了分析。结果表明,从54对SSR引物中筛选出了16对能明显扩增出稳定的多态性条带的引物,共检测出139个等位基因条带,每一对引物的等位基因个数为3~13,平均为8.7;16对引物的多态信息含量(PIC)变幅为0.208~0.432,平均为0.366。UPGMA聚类分析显示,41份材料的遗传相似系数(GS)在0.374~0.906之间,平均相似系数为0.626。在阀值(GS)约为0.665时,41份材料可分为4大类。其中614929与B.B.Quinoa浙Ⅰ间的遗传相似系数最小,为0.374,表明来源于不同地区的遗传距离较远,遗传基础较广泛。藜麦品种资源间的亲缘关系的揭示为藜麦资源保存和新品种选育提供了理论依据。     

普通玉米和特用玉米的SSR标记聚类

利用SSR标记研究了64份玉米自交系（包括普通玉米和特用玉米自交系）的亲缘关系。用30对扩增带型稳定的SSR引物,从供试材料中检测出116个等位基因变异,每对引物检测出等位基因2~10个,平均3.87个。SSR引物的PIC介于0.306~0.893之间,平均多态性信息量为0.717。按UPGMA方法对供试自交系进行聚类,以遗传距离0.586为基准,可将材料划分为11类。64份自交系的SSR标记聚类分析表明,普通玉米与特用玉米糯玉米、甜玉米、爆裂玉米等并不能严格地各自划为一类,只有亲缘关系较近的特用玉米自交系聚在一起,有些特用玉米与普通玉米聚在一起,部分特用玉米具有丰富的普通玉米种质资源遗传背景。特用玉米自交系间的遗传距离与普通玉米自交系间的遗传距离差异达到0.01的极显著水平。此外,不同类型特用玉米间、特用玉米与普通玉米间的遗传差异较大,特用玉米在进化和选育过程中积累并保存了丰富的遗传变异。     

不同生态因子条件下西藏青稞种子表型性状的相关分析

为了研究西藏青稞种质籽粒遗传变异程度、变异规律、地理因子对籽粒表型性状的影响程度,确定决定籽粒表型的关键性状,从而为青稞育种提供籽粒表型基础模型,本研究以527份西藏青稞农家种、野生近缘种为试验材料,基于青稞籽粒表型性状变化和相关地理环境因子,采用数字图像分析法对西藏青稞农家种、野生近缘种等527份青稞种质资源籽粒长、粒宽、粒长宽比、粒面积、圆度值、密度指数和千粒重(TKW)7个表型性状进行精确测量,并进行典型相关分析、聚类分析和主成分分析。结果表明,西藏青稞种子表型存在广泛的变异类型,TKW的变异系数最大,粒长的变异系数最小。典型相关分析显示,海拔、经度和纬度地理因子与7个籽粒表型性状间存在着显著相关关系(α=0.05),海拔高度的增加可使青稞粒面积、粒长宽比、粒圆度值增加,而粒长逐渐减少。纬度和经度的增加与粒长呈正相关,并与TKW有一定联系。籽粒7个表型性状的聚类分析表明,527份青稞材料可聚为3大类群,各类群表现一定的地理分区。主成分分析显示,青稞籽粒TKW、面积、粒宽、粒密度可代表7个籽粒表型性状的变异,且表现出以粒宽、TKW、粒面积为主反映种子大小的指标及以长宽比、粒长、圆度值为主反映种子形状的指标。西藏青稞种质资源籽粒表型变异极为丰富,并与多变的地理因子显著相关。青稞籽粒表型性状可分为种子大小和种子形状2个方面,两者对千粒重贡献率分别达到60.3%和33.8%,且表现为独立遗传特性,这说明在今后的青稞育种工作中,应以籽粒大小指标为重,兼顾籽粒形状,该研究结果为西藏青稞高产栽培育种提供了一定的理论依据。     

利用简单重复序列(SSR)标记分析太湖稻区现代粳稻品种的遗传多样性

太湖地区有丰富的粳稻(Oryza satiua ssp.japonica)种植资源,随着品种大面积推广应用,育种材料的遗传基础趋窄,相似性增高,使粳稻育种突破困难。本研究利用分布于水稻(Oryza satiua L.)12条染色体上的24对简单重复序列(simple sequence repeat,SSR)引物对太湖地区的42份粳稻品种进行遗传多样性分析。结果表明,有23对SSR引物在42份粳稻材料间表现出多态性;23对引物共检测到105个等位基因,每对SSR引物检测到等位基因为2~8个,平均为4.57个,有效等位基因共有56.43个,平均每个位点为2.45个。每个多态位点的多态信息含量(polymorphism information content,PIC)变幅为0.083 0~0.8079,平均为0.496 6;每个粳稻材料多态性位点数的变幅为6~19,等位基因总数的变幅为27~55;42份粳稻品种间的遗传相似系数变幅为0.391~0.990,平均为0.610,遗传相似系数在0.50~0.80之间的材料占全部的74.45%,供试材料相似度高;非加权配对算术平均法(unweighed pair group method with arithmetic mean;UPGMA)聚类结果显示,遗传相似系数为0.50,42份粳稻材料可以分为两个类群,一个类群包含19份常规粳稻,另一个类群包括其他23份杂交粳稻。结果显示,太湖地区的粳稻品种总体上遗传背景相似度高,遗传多样性不够丰富,育种工作有待进一步加强新的基因资源引进和利用,创新水稻育种材料。本研究结果为新品种选育提供技术支持和理论根据。     

黑龙江省春小麦品种遗传多样性的SSR分析

本研究利用微卫星标记(SSR)技术对黑龙江省小麦品种的遗传多样性进行了分析。12对具有多态性的SSR引物在114份小麦品种中共检测到46个等位位点,每对引物检测到的等位位点数为3~8个,平均为3.8个,平均遗传距离为0.7331。不同育种单位的小麦平均遗传距离有较大差异,最大差距为1.30倍。在对不同年代小麦品种的遗传距离分析时发现,随年代的增加,遗传距离逐渐减小,且衰减速度呈加快趋势。聚类分析将114个春小麦品种大致分为3个类群,9个亚类群,较好地反映了品种之间的亲缘关系。     

A phenotypic diversity analysis of foxtail millet (Setaria italica (L.) P. Beauv.) landraces of Chinese origin

A total of 23 381 foxtail millet landraces of Chinese origin were analysed for seven qualitative traits and four quantitative traits. The Shannon-Weaver diversity index was used to estimate the phenotypic diversity of each characteristic on the basis of administrative provinces and ecogeographical regions. Hierarchical analysis of variance indicated that most of the variation was due to differences among characteristics. Only the diversity indices for leaf color of seedlings, starch composition and 1000-grain weight showed significant differences among regions. In relative terms, a greater genetic divergence was found in some provinces of southern China, where foxtail millet is not a major crop.     

谷子硫解酶基因家族鉴定及表达模式分析

硫解酶(thiolase)是脂肪酸代谢的关键酶,在植物次生代谢合成、生长发育以及抵抗非生物胁迫中均发挥重要作用.为探究谷子硫解酶基因家族的基本特征,本研究利用生物信息学方法,对谷子硫解酶基因家族成员进行了鉴定,对蛋白理化性质及系统进化、基因结构、染色体位置、启动子、基因进化进行了分析;采用转录组测序进行了根、茎、叶、穗...     

基于RNA-seq的谷子萌芽期抗旱相关基因挖掘与分析

为了明确响应干旱胁迫的关键基因,解析谷子抗旱机制,本研究以谷子抗旱品种山西2010和干旱敏感品种K359*M4-1为材料,应用RNA-seq技术对两个品种干旱胁迫前后萌发期种子进行转录组测定。结果表明,在山西2010和K359*M4-1中分别鉴定出2 300个和3 652个差异表达基因(DEG),包括编码类锌诱导的促进因子、类萌发素蛋白、蛋白磷酸化酶、转运蛋白、胚胎发育晚期丰富蛋白(LEA)、转录因子、过氧化物酶等基因。通过对鉴定到的DEG进行GO和KEGG代谢途径富集分析,发现山西2010和K359*M4-1中的DEG分别富集在52个和21个生物学过程。KEGG 富集分析发现,DEG主要富集在淀粉和蔗糖代谢, 植物激素信号转导,光合作用-天线蛋白,苯丙素生物合成,角质、亚氨酸和蜡生物合成,次生代谢物生物合成等途径。本研究结果为挖掘谷子抗旱关键基因、解析谷子抗旱机制奠定了基础。     

Genetic Variation of Blast Resistance in Foxtail Millet (<Emphasis Type="Italic">Setaria italica</Emphasis> (L.) P. Beauv.) and its Geographic Distribution

To clarify the geographic variation and isolate specificity in blast resistance, 20 cultivars of foxtail millet (Setaria italica (L.) P. Beauv.) originating from Eurasia were examined for their resistance using 11 Japanese Setaria isolates of blast fungus. Cultivars from the countries east of Pakistan generally showed resistance to most of the 11 fungus isolates, whereas those from the countries west of Afghanistan indicated higher susceptibility. The origin of this geographical regularity was discussed in relation to the deficiency or specificity of relevant resistance gene(s). No identical reaction pattern was observed among cultivars, indicating their highly distinctive isolate specificity. The virulence of isolates was also diverse, since only 2 out of 10 virulent isolates were identical for their reaction patterns. Preliminary genetic analysis of blast resistance to four fungus isolates suggests that they are governed by more than two dominant genes.     

Foxtail millet (<Emphasis Type="Italic">Setaria italica</Emphasis> (L.) P. Beauv.) in Mazandaran/Northern Iran

Foxtail millet, Setaria italica is still cultivated in Mazandaran (N-Iran). It is used for the preparation of local food and for feeding cage-birds. The cultivated race is convar. moharia, formerly widely grown from Europe to SW Asia. The newly found material allows conclusion with respect to evolution and distribution of this old crop.

Geographical variation of nuclear genome RFLPs and genetic differentiation in foxtail millet, Setaria italica (L.) P. Beauv.

Sixteen RFLP loci in 62 landraces were assayed to study geneticdifferentiation in foxtail millet, Setariaitalica (L.) P. Beauv. Among 52 bands, 47 werepolymorphic among foxtail millet landraces. A dendrogram constructedbased on RFLPs was divided into five major clusters (clusterI–V). Clusters I and II contained strains mainly from EastAsia. Cluster III consisted of strains from subtropical and tropicalregions in Asia such as Nansei Islands of Japan, Taiwan and thePhilippines and India and cluster IV consisted of some strains fromEast Asia, a strain from Nepal and a strain from Myanmar. Cluster Vcontained strains from central and western regions of Eurasia such asAfghanstan, Central Asia and Europe. Chinese landraces wereclassified into four clusters. These results indicate that foxtailmillet landraces have differentiated genetically between differentregions and that Chinese landraces were highly variable.     

AFLP Analysis of Genetic Diversity in Indian Soybean [Glycine max (L.) Merr.] Varieties

AFLP technique was used to assess genetic diversity in 72 soybean varieties under cultivation in India. Selected 12 AFLP primer pairs produced 1319 products of which 1257 were polymorphic (95%). Wide variations were observed for the number of amplification products, percent polymorphism and average polymorphism information content (PIC). The Jaccard's similarity indices (J) based on the AFLP profiles of the 72 soybean varieties were subjected to UPGMA cluster analysis. The dendrogram generated revealed four major clusters, which were strongly supported by the high bootstrap values obtained from analyses of 1000 bootstrap samples. In addition, the Mantel's test for cophenetic correlation with r = 0.955 indicated very good fit of the varieties to a group in the cluster analysis. Some correspondence between the clustering pattern and the pedigree, place of release or target area of the variety was observed. Overall moderately high genetic diversity was observed which appears to be due to the higher genetic diversity prevalent in 12 of the varieties included in three diverse clusters and was indicative of the need to include more diverse germplasm in the soybean improvement programs.     

Genetic diversity in sweetpotato [Ipomoea batatas (L.) Lam.] in relationship to geographic sources as assessed with RAPD markers

Available evidence shows that sweetpotato originated from either Central or South American lowlands with subsequent dispersal to North America, Europe, Africa, Asia and the pacific islands. A total of 71 polymorphic RAPD molecular markers were used to assess the genetic relationships amongst 74 sweetpotato varieties originating from a total of 23 sweetpotato producing countries within six geographical regions, namely, South America, Central America/Caribbean, United States of America (USA), East Africa, Asia and Oceania. An Analysis of Molecular Variance (AMOVA) indicated that 93.4% of the total variance was due to the differences between genotypes within regions. The difference between regions was significant (P < 0.001) but only contributed 6.6% to the variance. Genetic distance (PhiST) calculated with AMOVA and multidimensional scaling (MDS) revealed that the South American and the Central American/Caribbean genotypes formed two separate clusters. East African varieties, which have unique characteristics from other traditional varieties, were distinct from other traditional varieties from South America and Oceania. These results support the reported hypothesis of the origin and dispersal of the sweetpotato and indicate that the primary centre of diversity probably has two distinct genepools. It is proposed that the dispersal of the sweetpotato from its origin may have mainly involved varieties from Central America/Caribbean as opposed to varieties from South America. There is an indication that new genepools may be evolving in Africa and Asia due to hybridisation and adaptation to the local environments.