甘薯遗传作图策略研究与展望

甘薯分子遗传图谱的建立对甘薯分子育种技术体系的拓展和应用具有重要意义。当前,对甘薯分子遗传图谱的研究虽然取得一定的进展,但存在着很多技术瓶颈,如作图策略应用和优化等。总结了甘薯经典和分子遗传研究进展,剖析了甘薯分子遗传图谱作图的3种方法与策略;探讨和提出了提高甘薯作图效率和质量的途径主要是:优化作图群体质量、克服偏分离、整合多群体间遗传连锁图谱和选择合适的分子标记类型;并指出染色体关联在遗传作图中的重要性,提出甘薯分子育种领域亟待加强的方面,以期为今后甘薯精密分子图谱的建立及基于分子图谱的甘薯分子育种提供新的思路。     

PCR-RAPD分子生物学技术及其在植物抗病性研究中的应用

PCR—RAPD技术是一种高效的基因组DNA多态性分析技术,能够在对生物细胞或组织中DNA遗传多样性、亲缘关系及系统进化分子标记检测的同时进行基因定位与遗传作图。本综述了PCR—RAPD技术的基本原理和应用范围,以及近年来在植物抗感病品种(品系)间亲缘远近关系分析、植物抗病性遗传基因的DNA分子标记与检测、植物抗病基因的标记和定位、植物抗病基因的分离与克隆、植物抗病育种的分子标记辅助选择与检测等植物抗病性分子机制研究方面的应用,并对该技术所存在的问题及应用前景进行了探讨。     

大豆叶绿素含量QTL定位及候选基因预测

叶绿素是调节光合作用的关键色素,对籽粒形成有着重要作用。本研究以美国半矮秆大豆Charleston为母本,东北地区主栽品种东农594为父本杂交衍生的147个重组自交系群体为材料,基于经SLAF测序获得的大豆高密度遗传图谱,利用复合区间作图法(CIM)、多重区间作图法(MIM)和完备区间作图法(ICIM)对大豆叶绿素含量进行QTL联合定位分析,并结合大豆基因组基因注释信息对QTL区段内的候选基因进行预测。利用CIM算法定位出2个QTL,表型遗传贡献率分别为6%和9.3%。利用MIM算法定位到了1个QTL,表型遗传贡献率为8.1%。利用ICIM算法定位到了1个QTL,表型遗传贡献率为7.76%。其中qchl-G-1被CIM和MIM两种算法同时检测到。在上述3个QTL区段内共含有151个基因,根据大豆基因组基因注释信息,筛选到了3个与叶绿素相关的候选基因,这些结果为叶绿素含量的遗传剖析和标记辅助育种提供理论基础,有利于分子辅助育种的发展。     

ISSR分子标记在牧草研究中的应用

ISSR（inter-simple sequence repeat）是在SSR标记基础上发展起来的一类新型的分子标记技术。在比较ISSR和其它分子标记的原理和特点的基础上,主要对ISSR标记的原理、特点以及ISSR分子标记在牧草DNA指纹库的构建、遗传多样性、种质资源鉴定、遗传作图和基因定位、分子标记辅助育种等领域的研究进展进行综述,并对其应用前景进行简要概述。     

基于选择牵连效应的标记/性状关联分析方法简介

许多重要农艺性状如产量、品质、抗逆性等多表现为数量性状, 是由多个基因和环境共同作用的结果, 对其遗传基础的研究比较困难。近年发展起来的以选择牵连效应分析为基础, 通过标记/性状之间的关联分析方法为这些性状的作图和遗传解析提供了新的手段, 也为作物的分子设计育种提供了新的思路, 其与QTL作图结果互相验证、互相补充, 必将促进数量遗传学、应用基因组学和育种学的发展。文章对关联分析的思路、方法、优缺点及应用时应注意的问题进行了比较系统的介绍。     

拟南芥与叶际微生物组的互作遗传机制——基于网络作图理论

叶际微生物组对植物的生长发育至关重要,但植物与其定殖微生物组相互作用机制尚不明确。目前植物与微生物互作研究多集中于根际微生物组,对叶际微生物组的研究较少,且这些研究未能从微生物互作的角度探究植物与微生物的相互作用机理。基于网络作图理论,将拟南芥基因组SNP （Single Nucleotide Polymorphisms）分子标记数据与微生物组网络特征值相关联,挖掘影响叶际微生物组网络结构的枢纽基因,以探究拟南芥塑造叶际微生物组网络结构的遗传机制。通过对188株拟南芥及其叶际微生物组数据的分析,识别出四种关系下的中心节点微生物,筛选到622个显著SNP位点。进一步构建了贝叶斯遗传网络,获得26个枢纽基因,这些基因可能参与了植物抗病、激素分泌和生长发育相关的分子途径。本研究从全基因组角度探究植物调控自身微生物组的遗传机制,揭示植物与微生物组如何互作促进植物健康,将为精准分子育种提供理论基础和遗传资源,并为合成菌群用于创制新型菌剂提供数据支持,具有重要的科学意义和应用价值。     

基于逆转座子的植物分子标记技术及其应用

逆转座子特异的结构和功能使其作为一种有效的遗传工具应用于许多方面。本文就植物逆座子的组成、类别、以及其作为分子标记体系应用在遗传多样性、种系发生和基因作图等的新进展作一综述。     

重叠群物理图谱的构建及其应用

人类对各种生物的基因组结构和功能的研究都需要确定DNA序列在染色体上的位置.与遗传图相比,物理图反映了基因或DNA标记之间在染色体上的真实距离.依其作图方法分为三类,即限制性酶切图谱、重叠群图谱和DNA序列图谱.重叠群物理图是将获得的大片段克隆,如YAC、BAC克隆,依其在染色体上的真实顺序排列而成,主要应用于基因组测序、重要基因的图位克隆、靶分子标记开发及比较基因组学研究等,特别是为那些由于缺乏合适的作图群体而不能建立遗传图的物种提供了一个重要的从事基因组学研究的平台.本文综述了近年来重叠群物理图构建研究的主要进展,比较分析了不同重叠群物理图谱构建方法的特点,提出了改进物理作图质量的建议,认为应根据基因组不同区域的特点,综合特异性探针的杂交、PCR筛选、酶切指纹分析、BAC克隆STC延伸、BAC末端测序等多种方法才能完成重叠群的构建.此外,物理图的构建还应努力整合各种基因组的资源和数据,如遗传连锁图、分子细胞遗传图、DNA序列图、EST数据等,这将有助于提高其在基因组学研究中的使用价值及应用范围.文章最后对重叠群物理图的发展趋势进行了展望.     

普通小麦Qz180中一个抗条锈病基因的分子作图(英文)

普通小麦(Triticum aestivum L.)材料Qz180具有良好的抗条锈病特性,经基因推导发现其含有一个优良的抗条锈病的基因,暂定名为YrQz。用Qz180与感病材料铭贤169和WL1分别杂交构建了两个F_2群体,用条中30号条锈菌小种对这两个群体进行的抗性测验表明,YrQz为显性单基因遗传。通过SSR和AFLP结合BSA的方法对这个基因进行了分子作图,结果鉴定出与YrQz连锁的2个SSR标记和2个AFLP标记。根据SSR标记的染色体位置,该基因被定位在2B染色体的长臂上,位于两个SSR位点Xgwm388和Xgwm526之间;两个AFLP标记P35M48(452)和P36M61(163)分别位于该基因的两侧,遗传距离分别为3.4cM和4.1cM。     

植物抗病遗传育种中的QTL定位和克隆(综述)

对植物抗病遗传育种中QTL定位与克隆研究进行综述。主要阐述了数量抗性的遗传学基础、作物抗病性QTL的定位作图、QTL作图的可靠性及应对措施、QTLs候选基因的证实和定位克隆等,并对植物抗病遗传育种未来的研究方向予以讨论。     

The role of some donor-host cell interactions under a microenvironmental influence during regeneration processes

This review of publications is dedicated to the analysis of experimental data concerning the possible mechanisms constituting the basis of transdifferentiation or plasticity of tissue-specific stem cells. In the review, we focused on the mechanisms and genetic consequences of fusion between donor cells and recipient tissue cells that were investigated using models of cell therapy for liver and heart diseases. The role of intercellular contacts of different types and horizontal gene transfer during the heart tissue regeneration process was also considered.     

Genetic diversity and population structure of <Emphasis Type="Italic">Escherichia coli</Emphasis> from neighboring small-scale dairy farms

The genetic diversity and population structure of Escherichia coli isolates from small-scale dairy farms were used to assess the ability of E. coli to spread within the farm environment and between neighboring farms. A total of 164 E. coli isolates were obtained from bovine feces, bedding, cow teats and milk from 6 small-scale dairy farms. Ward’s clustering grouped the isolates into 54 different random amplified polymorphic DNA (RAPD) types at 95% similarity, regardless of either the sample type or the farm of isolation. This suggests that RAPD types are shared between bovine feces, bedding, cow teats, and milk. In addition, transmission of RAPD types between the studied farms was suggested by the Ward grouping pattern of the isolates, Nei’s and AMOVA population analyses, and genetic landscape shape analysis. For the first time, the latter analytical tool was used to assess the ability of E. coli to disseminate between small-scale dairy farms within the same producing region. Although a number of dispersal mechanisms could exist between farms, the genetic landscape shape analysis associated the flow of E. coli RAPD types with the movement of forage and milking staff between farms. This study will aid in planning disease prevention strategies and optimizing husbandry practices.     

The role of some donor-host cell interactions in conditions of the regenerative process microenvironment

The review is devoted to the analysis of experimental data about possible mechanisms of transdifferentiation or plasticity of tissue specific stem cells. Considerable attention is focused on the mechanisms and genetic consequences of fusion of different types of donor cells with the cells of recipient tissues which investigated on the models of cellular therapy of liver and heart diseases. The role of various kinds of cell contacts and their role in stem cells integration, reparation and regeneration of injured tissue and horizontal genes transfer are considered.     

Climate and habitat barriers to dispersal in the highly mobile grey wolf

We reanalysed published data to evaluate whether climate and habitat are barriers to dispersal in one of the most mobile and widely distributed mammals, the grey wolf (Canis lupus). Distance-based redundancy analysis (dbRDA) was used to examine the amount of variation in genetic distances that could be explained by an array of environmental factors, including geographical distance. Patterns in genetic variation were also examined using MDS plots among populations and relationships between genetic structure and individual environmental variables were further explored using the BIOENV procedure. We found that, contrary to a previous report, a pattern of isolation with distance is evident on a continental scale in the North American wolf population. This pattern is apparently related to climate and habitat. Specifically, vegetation types appear to play a role in the genetic dissimilarities among populations. When we controlled for the effect of spatial variation, climate was still associated with genetic distance. Further, partitioning of geographical distances into latitudinal and longitudinal axes revealed that the east-west gradient had the strongest relationship with genetic distance. We suggest two possible mechanisms by which environmental conditions may influence the dispersal decisions made by wolves.     

Modeling cancer progression via pathway dependencies

Cancer is a heterogeneous disease often requiring a complexity of alterations to drive a normal cell to a malignancy and ultimately to a metastatic state. Certain genetic perturbations have been implicated for initiation and progression. However, to a great extent, underlying mechanisms often remain elusive. These genetic perturbations are most likely reflected by the altered expression of sets of genes or pathways, rather than individual genes, thus creating a need for models of deregulation of pathways to help provide an understanding of the mechanisms of tumorigenesis. We introduce an integrative hierarchical analysis of tumor progression that discovers which a priori defined pathways are relevant either throughout or in particular steps of progression. Pathway interaction networks are inferred for these relevant pathways over the steps in progression. This is followed by the refinement of the relevant pathways to those genes most differentially expressed in particular disease stages. The final analysis infers a gene interaction network for these refined pathways. We apply this approach to model progression in prostate cancer and melanoma, resulting in a deeper understanding of the mechanisms of tumorigenesis. Our analysis supports previous findings for the deregulation of several pathways involved in cell cycle control and proliferation in both cancer types. A novel finding of our analysis is a connection between ErbB4 and primary prostate cancer.     

基于单核苷酸多态性的基因互作分析方法学进展

基于单核苷酸多态性的关联分析已成为当前解析人类常见复杂疾病遗传机制的重要手段之一, 然而, 目前普遍使用的单位点分析策略仅能发现部分单独效应显著的易感SNP位点, 因此遗漏了重要的遗传力组分——基因上位效应或联合效应。识别全基因组多基因间复杂的互作关系已成为全面解析复杂疾病致病分子机制必不可少的一项任务。已有很多方法被应用于全基因组交互作用分析, 加深了人类对复杂疾病遗传机制的进一步认识。基于各类方法的理论基础及算法的异同, 文章对目前应用较为广泛的基于遗传互作模型的方法、不基于互作模型的方法和数据挖掘类算法3类方法进行了系统地评述, 着重介绍了这些方法的主要思想、实现过程及应用中的注意事项等, 并指出开展大规模全基因组范围互作检测面临的问题, 以期能为相关领域的研究者提供方法学参考。     

Bacteriophages and insertion sequences of Chromobacterium violaceum ATCC 12472

A fluid genome is a great advantage to prokaryotes, enabling quick adaptation to various types of ecological niches and to diverse environmental selective pressures. A substantial portion of these sudden changes is mediated by lateral gene transfer (LGT), through genetic recombination mechanisms, such as transformation, conjugation and transduction. The recent sequencing of several organisms has offered a new approach to the study of LGT, using comparison and analysis of nucleotide sequences dispersed throughout the genome of these species. This analysis in Choromobacterium violaceum has revealed four prophage and 12 insertion sequences, suggesting genetic exchange with several other bacterial species, including Salmonella enterica, Ralstonia and Xanthomonas. An Rhs (recombination hot spot) element (containing a vgr-like gene) was also observed, the function of which remains unknown, but it has a sequence related to species of Acinetobacter and Sphingomonas. These results support the role of LGT in the acquisition of new traits by C. violaceum.     

Genetic structure among greater white‐fronted goose populations of the Pacific Flyway

An understanding of the genetic structure of populations in the wild is essential for long‐term conservation and stewardship in the face of environmental change. Knowledge of the present‐day distribution of genetic lineages (phylogeography) of a species is especially important for organisms that are exploited or utilize habitats that may be jeopardized by human intervention, including climate change. Here, we describe mitochondrial (mtDNA) and nuclear genetic (microsatellite) diversity among three populations of a migratory bird, the greater white‐fronted goose (Anser albifrons), which breeds discontinuously in western and southwestern Alaska and winters in the Pacific Flyway of North America. Significant genetic structure was evident at both marker types. All three populations were differentiated for mtDNA, whereas microsatellite analysis only differentiated geese from the Cook Inlet Basin. In sexual reproducing species, nonrandom mate selection, when occurring in concert with fine‐scale resource partitioning, can lead to phenotypic and genetic divergence as we observed in our study. If mate selection does not occur at the time of reproduction, which is not uncommon in long‐lived organisms, then mechanisms influencing the true availability of potential mates may be obscured, and the degree of genetic and phenotypic diversity may appear incongruous with presumed patterns of gene flow. Previous investigations revealed population‐specific behavioral, temporal, and spatial mechanisms that likely influence the amount of gene flow measured among greater white‐fronted goose populations. The degree of observed genetic structuring aligns well with our current understanding of population differences pertaining to seasonal movements, social structure, pairing behavior, and resource partitioning.     

Regulation of glycogen metabolism in the liver and hepatic glycogenosis due to phosphorylase system deficiency]

Glycogen synthesis and breakdown in the liver are tightly controlled through different mechanisms. The purpose of this review is to describe some properties of the enzymes involved in the glycogen metabolism and the sequence of events by which glucose, allosteric effectors and hormones control this metabolism in the liver. Clinical, genetic and biological aspects of the phosphorylase and the phosphorylase kinase deficiencies are examined. The enzymatic analysis of the haemolysates from the patients allows discrimination of these two types of glycogenosis.