薏苡农艺性状与SRAP标记的关联分析

为寻找与薏苡农艺性状相关联的分子标记,在分析遗传多样性和群体结构的基础上,本研究通过对浏阳、耘园、桃源等试验基地82份薏苡种质资源的7个农艺性状数据和SRAP分子标记进行关联分析,发现有15对引物与薏苡7个农艺性状显著关联,它们的变异解释率范围在6.75%～18.64%之间。其中引物me8/em8与3个试验基地的薏苡千粒重极显著相关联;引物me2/em6与2个试验基地的薏苡性状粒宽和主茎茎粗显著相关联;引物me1/em7与2个试验基地的薏苡性状千粒重显著相关联。研究结果为薏苡分子标记辅助育种提供理论依据。     

柱花草重要性状与SSR、SRAP分子标记的关联分析

为了寻找与柱花草重要性状相关联的分子标记,本研究以20份柱花草品种(系)为对象,进行了株高等5个农艺性状和粗蛋白等8个品质性状的观测分析。在分析遗传多样性和群体结构的基础上,将品种间差异显著的11个性状与SSR、SRAP标记进行关联分析。结果表明,共有14个SSR标记与5个性状相关联,有16个SRAP标记与4个性状相关联。其中,1个SSR标记、15个SRAP标记与鲜重相关联;12个SSR标记和1个SRAP标记与株高相关联;12个SSR标记、1个SRAP标记与茎粗相关联;11个SRAP标记与粗蛋白含量相关联,分别只有1个SSR标记与叶宽、粗灰分含量相关联。关联分析能够有效地找到与部分性状相关联的标记,为柱花草种质鉴定、杂交育种及分子育种实践提供依据。     

甜叶菊重要农艺性状关联分析

为挖掘与甜叶菊重要农艺性状显著相关标记,利用相关标记辅助甜叶菊育种。本研究对93份甜叶菊种质材料11个重要农艺性状描述性统计,并利用58对EST-SSR引物对其扩增,群体遗传结构分析,基于以上分析采用Tassel 5.0的GLM (generalized linear model)模型进行EST-SSR标记与甜叶菊11个重要农艺性状的关联分析。分析检测到10个标记与6个农艺性状极显著相关,各标记对表型变异的解释率范围为0.071 6～0.189 3,部分标记与2～3个农艺性状极显著关联。     

普通小麦主要农艺性状的全基因组关联分析

为解析小麦复杂农艺性状的遗传机制,本研究以150份小麦品种(系)为自然群体,在4个环境条件下测定了9个主要农艺性状,利用小麦35K SNP芯片,结合5种关联模型(Q、PCA、K、PCA+K、Q+K),进行全基因组关联分析。结果表明,全基因组多态性信息量PIC的范围为0.0950～0.5000,最小等位基因频率MAF值为0.0500～0.5000;群体结构分析和PCA分析均表明参试材料可分为两个亚群;连锁不平衡分析发现A基因组、B基因组、D基因组和全基因组的LD衰减距离分别为4.7、8、11和6 Mb。9个性状共检测到652个显著的关联位点(P≤0.001),其中21个SNP在2个或2个以上的环境中被重复检测到,分布在1A(1)、1B(4)、2A(3)、2D(2)、3A(1)、5A(1)、5B(5)、6A(1)、6B(2)和7D(3)染色体上; 1个SNP标记的物理位置未知, 3个SNP标记同时与2个性状显著关联;单个SNP的表型贡献率为7.67%～18.79%。8个优势等位变异在供试群体中所占比例较低,筛选出14个可能与小麦农艺性状相关的候选基因,其中TraesCS5B02G237200、TraesCS7D02G129700和TraesCS1B02G426300可能在植物抵御生物与非生物胁迫中起作用,TraesCS5B02G010800和TraesCS7D02G436800可能与植物激素的合成和响应有关,TraesCS2A02G092200可能与植物细胞壁的增强有关, TraesCS5A02G438800可能参与叶绿体发育,另外7个候选基因的功能未知。     

大豆育成品种农艺性状QTL与SSR标记的关联分析

利用85个SSR标记,对大豆育成品种群体(190份代表性材料)的基因组进行扫描,在检测群体结构基础上搜索连锁不平衡位点,并采用TASSEL软件的GLM方法对11个大豆农艺性状QTL进行关联分析。结果表明：(1) 在公共图谱上共线性或非共线性的SSR位点组合均广泛存在连锁不平衡(LD),但不平衡程度D′>0.5的组合数只占总位点组合的1.71%,共线位点D′值随遗传距离衰减较快;(2) SSR数据遗传结构分析表明,育成品种群体由7个亚群体组成,矫正后全群体共有45个位点累计136个位点(次)与11个大豆农艺性状QTL关联,其中22个位点(次)与家系连锁定位的QTL区间相重,有43个位点(次) 2年重复出现;(3) 一些标记同时与2个或多个性状关联,可能是性状相关或一因多效的遗传基础;(4) 育成品种群体关联位点与地方品种群体和野生群体只有少数相同,群体间育种性状的遗传结构有相当大差异;(5) 发掘出农艺性状优异等位变异及其载体品种,包括增效最大的产量等位变异Satt347-300 (+932 kg hm^-2,中豆26),生物量等位变异Satt365-294(+3 123 kg hm^-2,黄毛豆),蛋白质含量等位变异Be475343-198 (+0.41%,淮豆4号),脂肪含量等位变异Satt150-273 (+2.32%,科丰15)等。在此基础上作了设计育种的探讨。     

陆地棉SSR标记遗传多样性及其与农艺性状的关联分析

分析陆地棉栽培种遗传多样性,通过关联分析寻找与棉花农艺性状相关联的分子标记,为分子标记辅助选择育种和提高棉花育种效率奠定基础。本文采用74个Simple sequence repeat(SSR)标记对172份陆地棉栽培种的基因组变异进行扫描,使用NTSYS-pc 2.20进行聚类,分析该群体遗传多样性;利用Structure 2.3.4软件分析群体结构,在此基础上结合田间表型数据,采用Tassel 2.1的一般线性模型(General linear model,GLM)进行关联分析,定位与农艺性状相关的QTLs。74个标记共检测到148个多态性位点,涉及246个等位变异,变异范围2~7个,平均等位变异数为3.32;引物的多态性信息含量(PIC)为0.0281~0.3733,平均值为0.2370;遗传相似系数变异在0.2816~1,平均值为0.5369,平均遗传相似系数为0.5369,表明我国陆地棉遗传基础狭窄,尽管国外及西北内陆棉区部分材料具有较丰富的遗传变异。聚类分析将该群体划分为12个亚群,不同棉区的材料交叉分布,且聚类结果基本与系谱吻合。群体结构分析却将172份供试材料划分为3个亚群;通过关联分析,发现30个位点与铃重、衣分、黄萎病抗性显著相关(P0.05),各位点对表型变异贡献率为2.24%~5.27%。     

基于SSR的四川花生遗传多样性分析

[目的]研究旨在了解四川花生资源的遗传多样性及表型性状与分子标记的关联分析,为花生分子育种及资源库构建提供理论依据。[方法]鉴定分析57份不同来源花生资源材料的4个农艺性状及4个品质性状,并利用SSR标记研究57份花生材料的遗传多样性,对SSR标记与表型性状进行聚类及关联分析。[结果]表型性状鉴定结果显示花生资源的8个性状中,6个变异较大、多样性较好。67对SSR引物中,有效引物39对,获得多态性条带53条,平均每个引物扩增1.36条,平均Nei"s 基因多样性0.2288、平均Shannon"s 指数0.3695,最远遗传距离为0.51。SSR分子标记聚类分析将57份资源聚为2大类群,GLM分析发现多个与蛋白质含量、株高、含糖量的关联标记。[结论]研究结果表明,四川不同区域间花生遗传多样性较丰富,品种类型单一,聚类及关联分析结果可为四川花生突破性新品种选育的亲本选择提供提供重要参考。     

半野生棉棉仁含油量与SSR标记的关联分析

为探究半野生棉群体材料的遗传变异和群体结构,挖掘与含油量相关的标记位点,利用215对SSR引物,对89份半野生棉自然群体进行遗传多样性、群体结构和亲缘关系分析,并进行棉仁含油量性状与标记的关联分析。结果表明,位点多态信息含量(PIC)为0.0222~0.7390,平均为0.3452;基因型多样性(H′)介于0.0616~1.4412,平均为0.5614。群体结构分析将89份材料分为2个亚群,群体结构简单,遗传变异比较丰富,可以用于半野生棉目标性状的关联分析。应用关联分析,在3个年份环境下重复检测出12个与棉仁含油量显著相关的位点(P0.05),这12个位点可能与含油量性状存在稳定的关联,可为棉仁含油量性状的分子标记辅助选择提供依据,为开展半野生棉其它性状的关联分析提供参考。阔叶棉141平均棉仁含油量为41.90%,为高油份含量品种的遗传改良提供理想材料。     

新疆早熟陆地棉种质资源遗传多样性及纤维品质性状SSR关联分析

【目的】探究新疆早熟陆地棉种质资源遗传多样性,发掘特异种质资源和与纤维品质相关的优异等位变异。【方法】以219份新疆早熟陆地棉种质资源为材料,在3个环境下对此群体的15个农艺性状进行鉴定,用128对简单序列重复(Simple sequence repeat,SSR)引物对该群体进行基因型鉴定,使用NTsys-pc2.1进行遗传多样性分析,用Structure 2.3.1和Tassel 5.0对此群体纤维品质性状进行关联分析,依据表型效应值挖掘携带优异等位变异的典型材料。【结果】128对标记在219份资源材料群体中共扩增出244个位点,平均每个标记扩增出1.91个位点;多态信息含量范围为0.13～0.86,平均为0.63;此群体材料间遗传相似性系数分布范围为0.42～0.99,平均为0.61,遗传相似系数在0.5～0.7的占90.19%。通过关联分析检测到11个与纤维品质性状显著关联的标记(P0.01),发掘出7个携带特异等位变异的典型材料。【结论】219份新疆早熟陆地棉种质资源遗传多样性低,基于SSR关联分析发掘了一些与纤维品质性状相关的优异等位变异及典型材料。     

大麦农艺性状与SSR标记的关联分析

为了解大麦亲本材料遗传特性和主要农艺性状特征,采用156份不同来源的大麦材料,在86个多态性SSR位点上检测遗传多样性,同时对7个农艺性状在两试验点作表型鉴定,利用GLM和MLM模型进行分子标记与表型性状的关联分析。结果共检测出392个等位变异,平均每个标记4.6个,PIC值变异范围为0.0612~0.8560。群体遗传结构分析将156份材料分为2个亚群。利用GLM模型分析结果表明,与株高、穗长、芒长、穗粒数和千粒重5个性状相关联的标记有18个,单个标记对表型变异的解释率为4.81%~20.75%;利用MLM模型分析,与株高、穗长、芒长、分蘖数、穗粒数和千粒重6个性状相关联的标记有14个,单个标记对表型变异的解释率范围为6.64%~31.55%。这些关联标记对后续研究有参考价值。     

黄瓜种质资源形态学标记和SRAP标记的遗传多样性分析

旨在探索黄瓜种质资源的遗传多样性,为今后黄瓜选育优良品种提供可靠依据。以48份黄瓜种质资源为材料,用DPS软件对各品种的13个表型性状进行聚类分析,同时利用SRAP分子标记对其进行遗传多样性研究。结果表明:根据果实性状等形态学标记聚类分析得出,在阈值75.0处,可以将48份黄瓜种质资源分成5大类群。利用UPGMA法对SRAP分子标记结果聚类分析发现,黄瓜种质间的遗传相似系数在0.52~0.93之间,在遗传相似系数为0.64处,可以将其分成5大类群,形态学标记和SRAP分子标记的聚类结果存在较大差异。由此可见,SRAP分子标记较形态学标记能更好地分析品种间亲缘关系的远近,对黄瓜遗传多样性研究更具指导意义。     

黄麻核心种质的遴选

遴选黄麻核心种质可为黄麻种质创新及新品种选育奠定基础。本研究以300份黄麻种质资源为基础,基于SSR分子标记和农艺性状考察,结合地理来源构建核心种质。结果表明,11个农艺性状变异系数变幅在13.06%～84.87%,表现出丰富的遗传多样性。按农艺性状聚类分析可划分为8个类群,按分子标记聚类可划分为10个类群。结合2个聚类分析、地理位置并按比例取样,建立一个由108份品种(系)组成的预选核心种质。采用44对SSR引物对其进行遗传差异分析,在遗传相似系数为0.65时,可把108份品种(系)分成圆果种和长果种两大类。根据遗传差异分析,剔除遗传相似系数大于或等于0.85的遗传冗余,获得84份品种(系)的核心种质,其中圆果种60份和长果种24份。比较84份核心种质与300份种质的农艺性状变异系数及Shannon-Wiener指数发现,两者之间相差不大,表明遴选的84份核心种质可以最大限度代表300份黄麻种质资源的遗传多样性加以利用和保存。     

Genetic Diversity and Association Analysis of Fiber Quality Traits with SSR Markers in Germplasm Resources of Early Maturity Upland Cotton in Xinjiang

[Objective] We explored the genetic diversity of early maturity upland cotton germplasm resources in Xinjiang, China. We discovered specific germplasm resources and elite allelic variation related to fiber quality. [Method] We used 219 early maturity upland cotton accessions in our experiments and investigated 15 agronomic traits in three environments. We used a total of 128 pairs of simple sequence repeat (SSR) primers to scan for polymorphism. We then used NTsys-pc2.1 software to analyze genetic diversity, and Structure2.3.1 and Tassle5.0 software to perform association analysis of fiber quality traits based on phenotypic effect values to identify elite allele variation and conventional materials. [Result] A total of 244 loci were amplified by 128 marker pairs in 219 samples with an average of 1.91 loci per marker. The polymorphic information content ranged from 0.13 to 0.86 with an average of 0.63. The distribution range of the genetic similarity coefficient between materials in this population was 0.42-0.99 with an average of 0.61. The genetic similarity coefficient was between 0.5 and 0.7 and accounted for 90.19%. Through association analysis, we detected 11 markers that were significantly (P<0.01) associated with fiber quality traits, and discovered seven typical materials with specific allele. [Conclusion] In total, 219 Xinjiang early-maturing upland cotton germplasm resources have low genetic diversity. Based on SSR association analysis, we discovered some specific allele variations and conventional materials related to fiber quality traits.     

应用SRAP与ISSR分析烟草种质资源遗传多样性及遗传演化关系

应用ISSR与SRAP两种分子标记,研究国内外96份烟草种质的遗传多样性及不同栽培类型种质的遗传演化关系。表明烟属种间具有丰富的遗传多样性,种间的遗传相似性(GS)在0.28~0.58之间,遗传分化系数(Gst)为0.83。普通栽培种品种间遗传多样性水平较低,品种间的遗传相似性在0.61~0.99之间,栽培种内的遗传多样性为烤烟>晒晾烟>白肋烟>香料烟。当相似系数在0.67作切割线时,基于2种标记的96份烟草种质资源的聚类结果为,(1)普通烟草栽培品种材料91份聚在同一大类,而黄花烟、黏烟草、浅波烟草、哥西氏烟草、香甜烟草5个种也分别为单独的个类,同普通烟草栽培种类群完全区别开来;(2)从进化上看,烤烟和晒晾烟间的遗传进化关系最近,香料烟和黄花烟之间的亲缘关系较远;普通烟草栽培种中国内外来源的烟草品种亲缘关系极其相近,遗传分化现象甚微;(3)2种分子标记虽然原理不同,但分析结果趋势相近(r=0.68,P=1.000)。     

花椰菜种质资源遗传多样性SRAP标记分析

为了从分子水平上揭示花椰菜种质资源间的亲缘关系,为其种质搜集、鉴定、利用和遗传改良提供一定的理论基础。本研究采用SRAP分子标记技术对24份花椰菜种质资源进行遗传多样性研究。从30个引物组合中筛选得到23对多态性引物组合,共检测到257条扩增条带,平均每对引物扩增等位基因数从5到20不等。其中多态性片段为185条,多态性比例为71.98%,表明花椰菜种质间具有相对丰富的遗传多样性。相似系数分析表明种质间遗传相似系数为0.5491~0.9626,平均为0.7490。SRAP分子标记聚类分析结果显示来源和地域可作为花椰菜种质聚类的农性状之一。     

海南新收集烟草种质资源的鉴定与遗传多样性分析

为将海南收集到的23份烟草种质资源编目和保存,通过田问表型性状调查,并利用SSR引物进行遗传多样性分析,构建指纹图谱.结果 表明,供试种质的农艺性状和质量性状差异较大,不同农艺性状变异系数为20.69％～29.41％.聚类分析将收集的烟草种质资源分为3个类群,其中第Ⅱ类群的植株最高、叶片最大,可用于高产育种.从2000...     

Mining Elite Sea-Island Cotton Germplasm Based on Phenotyping and SSR Markers

[Objective] An elite germplasm resource of sea-island cotton with outstanding traits was mined in order to accelerate the breeding process of new varieties. [Method] The core collections of sea-island cotton germplasm consisted of 178 accessions were used as experimental materials in this study. Analyses of variability and diversity were performed through detecting phenotypic data of six main breeding-targeted traits, including boll weight, boll number per plant, lint percentage, fiber length, fiber strength, and micronaire. The elite germplasm of sea-island cotton was selected according to 10% optimal sampling strategy based on the phenotypic value of each trait. The 120 pairs of polymorphic simple sequence repeat (SSR) primers were used to analyze the polymorphism of 178 accessions of the core collections. Then, we conducted the population structure and clustering analysis based on the genotyping results. According to the results of cluster analysis, the primary elite germplasm was further selected, and the final elite germplasm of sea-island cotton was identified. [Result] The results showed that there was a high variability and abundant genetic diversity in the 6 studied traits. In 178 accessions of sea-island cotton, 262 alleles were detected by 120 pairs of SSR primers, with an average of 2.18 loci. The average polymorphism information content (PIC) was 0.067 8-0.630 0, with an average of 0.296 0, showing moderate polymorphism. The cluster analysis showed that the core collection of sea-island cotton was divided into six groups. twenty-three elite germplasm resources of sea-island cotton were identified based on phenotypic value and cluster analysis of SSR markers. [Conclusion] The germplasm of sea-island cotton can be analyzed and evaluated based on the phenotyping and SSR markers, and then the elite germplasm of sea-island cotton can be identified. These results provided the material basis for the genetic breeding of sea-island cotton, as well as the important reference and basis for the mining and identification of crop elite germplasm.     

Genetic diversity and association mapping of agronomic yield traits in eighty six synthetic hexaploid wheat

Association mapping is a method to identify associations between target traits and genetic markers based on linkage disequilibrium (LD) of a quantitative trait locus. Synthetic hexaploid wheat (SHW) is derived from a cross between Triticum durum Desf. and Aegilops tauschii Coss. that enhances genetic diversity and broadens breeding resources. In this study, phenotypic diversity in 110 wheat accessions (86 SHW germplasm specimens and 24 conventional wheat varieties) was evaluated quantitatively for yield characteristics of grains per spike, thousand kernel weight, and spike length. Phenotypic data were collected over two years at two locations, and 1785 alleles were detected (mean 6.59), ranging from 3 to 11 alleles per locus. The average genetic diversity index was 0.749, with a range from 0.239 to 0.923. The polymorphic information content (PIC) ranged from 0.145 to 0.968, with a mean value of 0.695. The genetic diversity index and PIC indicated that genome B > D > A. Accessions were grouped into three subgroups based on STRUCTURE and unweighted pair-group with arithmetic mean clustering. The mean LD decay across the genome was 11.78 cM. Association mapping between traits and simple sequence repeat markers was performed using the generalized linear model approach. Forty-six SSR loci were significantly associated with the measured agronomic traits in two geographic locations. Together, these results broaden our knowledge of how to harness elite genes and genetic diversity in SHW in genomic and marker-assisted selection.     

Diversity in a pea (<Emphasis Type="Italic">Pisum sativum</Emphasis>) world collection for key agronomic traits in a rain-fed environment of Southern Europe

The marked underutilization of pea ecotype and old cultivar genetic resources need be reversed by producing information on elite germplasm and diversity patterns for key agronomic traits. This study generated such information for a world collection of 223 ecotypes or old cultivars of P. sativum subsp. sativum subdivided into 19 regional pools (each represented by 9–15 entries) and one reference pool of 11 locally-adapted varieties from France, Spain and Germany. The collection was evaluated for grain yield, seed protein content, straw biomass, phenology and other agronomic and morphological traits in a spring-sown, water-limited environment of Northern Italy. Variation within ecotype/old cultivar germplasm pools was at least two-fold greater for seed size and protein content and seven-fold greater for other traits relative to variation between pools, and was particularly large within pools from Central Europe, Near East and United Kingdom. The traditional germplasm, compared with improved variety material, tended to display higher dry grain yield (1.11 vs. 0.85 t/ha) and straw biomass, later crop maturity, smaller seed, and similar protein content. Traditional germplasm from Central Europe combined outstanding grain yield and total biomass with high seed protein content. High grain yield characterized, inter alia, the germplasm pools from Ukraine and Spain, the latter also featuring high protein content. Several ecotype/old cultivar accessions out-performed (P < 0.05) the best-ranking varieties for grain yield or protein content. Patterns of phenotypic variation were poorly related to geographic origin of germplasm pools, while highlighting the distinctness of improved variety germplasm.     

烤烟胞质雄性不育杂种农艺性状的遗传分析

为明确新选育的烤烟胞质雄性不育系农艺性状的遗传效应及杂种优势利用潜力,以3个烤烟胞质雄性不育系和4个推广烤烟品种为材料,配成12个杂种,利用简单加性-显性遗传模型对烤烟株高、有效叶数、叶长、叶宽、叶长宽比、茎围、节距和单叶重农艺性状进行遗传分析。结果表明,8个农艺性状受环境的影响大,遗传率较低;农艺性状主要受显性或加性与环境互作效应控制,株高、叶长、叶宽和叶长宽比的显性效应显著高于加性效应,而有效叶、茎围、节距和单叶重的显性效应和加性效应几乎相当;MsYZ203-6、MsYZ216-1和MsYZ206-9烤烟胞质雄性不育系的重要农艺性状存在较大的显性效应,在配制的组合中有较强的杂种优势表现。