A conceptual framework for the spatial analysis of landscape genetic data

Understanding how landscape heterogeneity constrains gene flow and the spread of adaptive genetic variation is important for biological conservation given current global change. However, the integration of population genetics, landscape ecology and spatial statistics remains an interdisciplinary challenge at the levels of concepts and methods. We present a conceptual framework to relate the spatial distribution of genetic variation to the processes of gene flow and adaptation as regulated by spatial heterogeneity of the environment, while explicitly considering the spatial and temporal dynamics of landscapes, organisms and their genes. When selecting the appropriate analytical methods, it is necessary to consider the effects of multiple processes and the nature of population genetic data. Our framework relates key landscape genetics questions to four levels of analysis: (i) node-based methods, which model the spatial distribution of alleles at sampling locations (nodes) from local site characteristics; these methods are suitable for modeling adaptive genetic variation while accounting for the presence of spatial autocorrelation. (ii) Link-based methods, which model the probability of gene flow between two patches (link) and relate neutral molecular marker data to landscape heterogeneity; these methods are suitable for modeling neutral genetic variation but are subject to inferential problems, which may be alleviated by reducing links based on a network model of the population. (iii) Neighborhood-based methods, which model the connectivity of a focal patch with all other patches in its local neighborhood; these methods provide a link to metapopulation theory and landscape connectivity modeling and may allow the integration of node- and link-based information, but applications in landscape genetics are still limited. (iv) Boundary-based methods, which delineate genetically homogeneous populations and infer the location of genetic boundaries; these methods are suitable for testing for barrier effects of landscape features in a hypothesis-testing framework. We conclude that the power to detect the effect of landscape heterogeneity on the spatial distribution of genetic variation can be increased by explicit consideration of underlying assumptions and choice of an appropriate analytical approach depending on the research question.     

Synthetic biology and genetic causation

Synthetic biology research is often described in terms of programming cells through the introduction of synthetic genes. Genetic material is seemingly attributed with a high level of causal responsibility. We discuss genetic causation in synthetic biology and distinguish three gene concepts differing in their assumptions of genetic control. We argue that synthetic biology generally employs a difference-making approach to establishing genetic causes, and that this approach does not commit to a specific notion of genetic program or genetic control. Still, we suggest that a strong program concept of genetic material can be used as a successful heuristic in certain areas of synthetic biology. Its application requires control of causal context, and may stand in need of a modular decomposition of the target system. We relate different modularity concepts to the discussion of genetic causation and point to possible advantages of and important limitations to seeking modularity in synthetic biology systems.     

Conceptual and ethical problems in the epistemology of genetic information

My thesis will be that the identification of genetic features and their medical interpretation follow at least partially from reductionist premises: “Genes are charging the gun, life(-style) will trigger it.” This simplistic metaphor illustrates a problem of genetic diagnosis: from the viewpoint of philosophy of science, concepts of the gene and the genome are vague and confused. Until now these concepts have not been defined satisfactorily. Partly on account of this there is an additional problem in applying genetic tests in medical diagnostics. The epistemic status of predictive genetic diagnosis in many cases can justifiably be called “opaque.” But a predictive genetic test is designed to reveal genetic knowledge of and for a client on the basis of scientific research. Methodologically the diagnosis of the scientific problem in genetics as a science is developed philosophically as an epistemological argument. The problem of genetics as applied science in medicine and society is the danger of irrationality due to reductionist premises of science. This problem is to be revealed by philosophical analysis. The major result of the argument is that the assessment of applications of basic research in genetics should include considerations from epistemology and philosophy of science. The epistemological status of scientific concepts and reasonableness of advice are interrelated. My thesis is that at the interface between theory of science in genetics and reasonableness of “genetic advice” is the responsibility of the researchers for concepts of their science.     

Are all genes regulatory genes?

Although much has been learned about hereditary mechanisms since Gregor Mendel’s famous experiments, gene concepts have always remained vague, notwithstanding their central role in biology. During over hundred years of genetic research, gene concepts have often and dynamically changed to accommodate novel experimental findings, without ever providing a generally accepted definition of the ‘gene.’ Yet, the distinction between ‘regulatory genes’ and ‘structural genes’ has remained a common theme in modern gene concepts since the definition of the operon-model. This distinction is now challenged by recent findings which suggest that, at least in eukaryotes, structural genes may in many situations have a regulatory function that is independent of the function of the gene product (protein or non-coding RNA molecule). This brief paper discusses these new findings and some possible implications for the notion of the ‘regulatory gene.’     

Gene therapy for peripheral arterial disease

Our understanding of the molecular biology of vascular disease is rapidly expanding, and this scientific growth has brought with it new opportunities for therapeutic intervention at the molecular and genetic levels. Although our tools for genetic manipulation in vivo and our knowledge of potential molecular targets are still crude and incomplete, the early application of these concepts to clinical problems is already underway, both in the pre-clinical and clinical arenas. The treatment of peripheral vascular disease, although greatly improved over recent decades by surgical and minimally-invasive techniques, remains limited by vascular proliferative lesions and by our inability to modulate the progression of native disease. This review explores some of the evolving concepts of therapeutic gene manipulation and their initial application in the peripheral circulation.     

Communities, populations and individuals of arbuscular mycorrhizal fungi

Arbuscular mycorrhizal fungi in the phylum Glomeromycota are found globally in most vegetation types, where they form a mutualistic symbiosis with plant roots. Despite their wide distribution, only relatively few species are described. The taxonomy is based on morphological characters of the asexual resting spores, but molecular approaches to community ecology have revealed a considerable unknown diversity from colonized roots. Although the lack of genetic recombination is not unique in the fungal kingdom, arbuscular mycorrhizal fungi are probably ancient asexuals. The long asexual evolution of the fungi has resulted in considerable genetic diversity within morphologically recognizable species, and challenges our concepts of individuals and populations. This review critically examines the concepts of species, communities, populations and individuals of arbuscular mycorrhizal fungi.     

线粒体基因及其Cyt b基因与昆虫分子系统学研究

由于mtDNA及其Cyt b基因独特的进化速率及遗传特性,已成为追溯母系起源和群体遗传分化可信的遗传标记,被广泛应用于研究动物起源和分化,揭示群体的遗传背景,阐释种间和种内的系统演化关系,研究种内多态性和地理分布的关系.对mtDNA及其Cyt b基因的分子特点及其在昆虫系统学研究中的应用进行综述.     

Rh系统单倍型在中国人群中的分布

对中国已发表的125个人群Rh血型系统表型分布频率数据进行了收集和整理。用累积计算法（Counting method)重新计算单倍型频率,通过各单倍型的分布差异分析中国不同地区不同种族、人群的遗传差异,分组比较了不同地区汉族和少数民族人群的基因多样度和基因分化度,结果表明南方少数民族和北方少数民族民族亚群体基因多样度有明显差异,用不同方法计算中小组遗传距离并进行聚类分析。最后,计算了除维吾尔族和哈萨克族外的68个人群间的遗传距离并聚类比较,结果表明Rh基因单倍型的分布与地理分布基本相符。     

Intragenesis and cisgenesis as alternatives to transgenic crop development

One of the major concerns of the general public about transgenic crops relates to the mixing of genetic materials between species that cannot hybridize by natural means. To meet this concern, the two transformation concepts cisgenesis and intragenesis were developed as alternatives to transgenesis. Both concepts imply that plants must only be transformed with genetic material derived from the species itself or from closely related species capable of sexual hybridization. Furthermore, foreign sequences such as selection genes and vector‐backbone sequences should be absent. Intragenesis differs from cisgenesis by allowing use of new gene combinations created by in vitro rearrangements of functional genetic elements. Several surveys show higher public acceptance of intragenic/cisgenic crops compared to transgenic crops. Thus, although the intragenic and cisgenic concepts were introduced internationally only 9 and 7 years ago, several different traits in a variety of crops have currently been modified according to these concepts. Five of these crops are now in field trials and two have pending applications for deregulation. Currently, intragenic/cisgenic plants are regulated as transgenic plants worldwide. However, as the gene pool exploited by intragenesis and cisgenesis are identical to the gene pool available for conventional breeding, less comprehensive regulatory measures are expected. The regulation of intragenic/cisgenic crops is presently under evaluation in the EU and in the US regulators are considering if a subgroup of these crops should be exempted from regulation. It is accordingly possible that the intragenic/cisgenic route will be of major significance for future plant breeding.     

Margin based ontology sparse vector learning algorithm and applied in biology science

In biology field, the ontology application relates to a large amount of genetic information and chemical information of molecular structure, which makes knowledge of ontology concepts convey much information. Therefore, in mathematical notation, the dimension of vector which corresponds to the ontology concept is often very large, and thus improves the higher requirements of ontology algorithm. Under this background, we consider the designing of ontology sparse vector algorithm and application in biology. In this paper, using knowledge of marginal likelihood and marginal distribution, the optimized strategy of marginal based ontology sparse vector learning algorithm is presented. Finally, the new algorithm is applied to gene ontology and plant ontology to verify its efficiency.     

Quantitative traits in plants: beyond the QTL

Phenotypic variation for quantitative traits results from segregation at multiple quantitative trait loci (QTL), the effects of which are modified by the internal and external environments. Because of their favorable genetic attributes (e.g. short generation time, large families and tolerance to inbreeding), plants are often used to test new concepts in quantitative trait analysis. Thus far, the molecular basis underlying allelic variation at QTL is similar to the identified variation for simple mendelian loci; namely, alterations in gene expression or protein function. Further comprehensive dissection of complex phenotypes will depend on our ability to link genetic components of the QTL variation to genomic databases.     

A Genetic Basis Behind Combining Ability and Breeding Values in Mono- and Di-genic Systems

Combining ability and breeding values are concepts of crucial importance in practical breeding. However, in early literature, methods of partitioning the genetic value into additive and dominance effects were described mostly in single gene and under random mating. Though average effect and average excess of gene substitution were defined by Fisher and a practial method of obtaining breeding values outlined by Falconer, concerted attempts are scarce in integrating the concepts of combining ability, breeding value and additive effects. Only a few workers have reported the values of those parameters for inbred populations while published reports on those effects in digenic systems with linkage appear to be not readily available. Practical breeders continue to use those concepts as if they were independent. This paper is therefore an attempt at filling the research gaps and setting those concepts in proper practical perspective.     

Genetic Diversity of Protein Markers in Sheep Populations from Ukraine

Based on polymorphism of genes for antigen factors of six blood-group systems and four blood protein loci, genetic structure and the main variation parameters were studied in three sheep breeds and three sheep breed types constituting the basis of purebred sheep resources in Ukraine. Specific features of the distribution of genotypes and alleles of polymorphic loci were determined in each of the studied sheep groups depending on their origin and production type. The molecular–genetic markers used in the analysis of the genetic relationships between the sheep breeds and breed types were shown to objectively reflect their breeding history and evolution. Integrally, each of the studied gene pools had a specific profile of gene frequencies reflecting breeding specificity, breed history, and genetic differentiation of breeds.     

A quantitative genetic model for analyzing species differences in outcrossing species

A genetic model based on a two-level intra- and interspecific mating design is proposed to estimate the genetic architecture of species differences and heterosis for outcrossing species. The underlying genetic analyses make use of classical quantitative genetic theories and recent results from molecular genetic studies. Gene effects across different quantitative trait loci (QTL) can be approximated by a geometric series. Under natural selection, gene effects are often associated with allele frequencies in a particular way, which can be approximated by the gamma distribution. By incorporating these approximations into family structural analyses in the mating design, we are able to estimate a number of genetic parameters that contribute to quantitative genetic variation based on a nonlinear optimization approach. These parameters include the number of QTL, their gene effects, and their allele frequencies in the parental populations. We perform simulation studies and illustrate an example to demonstrate the statistical property and procedure of the method.     

Genetic diversity of protein markers in sheep population from Ukraine

Based on polymorphism of genes for antigen factors of six blood-group systems and four blood protein loci, genetic structure and the main variation parameters were studied in three sheep breeds and three sheep breed types constituting the basis of purebred sheep resources in Ukraine. Specific features of the distribution of genotypes and alleles of polymorphic loci were determined in each of the studied sheep groups depending on their origin and production type. The molecular-genetic markers used in the analysis of the genetic relationships between the sheep breeds and breed types were shown to objectively reflect their breeding history and evolution. Integrally, each of the studied gene pools had a specific profile of gene frequencies reflecting breeding specificity, breed history, and genetic differentiation of breeds.     

Molecular Therapy and Prevention of Liver Diseases

Molecular analyses have become an integral part of biomedical research as well as clinical medicine. The definition of the genetic basis of many human diseases has led to a better understanding of their pathogenesis and has in addition offered new perspectives for their diagnosis, therapy and prevention. Genetically, human diseases can be classified as hereditary monogenic, acquired monogenic and polygenic diseases. Based on this classification, gene therapy is based on six concepts (1) gene repair, (2) gene substitution, (3) cell therapy, (4) block of gene expression or function, (5) DNA vaccination and (6) gene augmentation. While major advances have been made in all areas of gene therapy during the last years, various delivery, targeting and safety issues need to be addressed before these strategies will enter clinical practice. Nevertheless, gene therapy will eventually become part of the management of patients with various liver diseases, complementing or replacing existing therapeutic and preventive strategies.     

Are the Basques a single and a unique population?

Different analyses of genetic polymorphisms performed on the Basque population have suggested a possible heterogeneity of the Basques and a singularity of their genetic characteristics. In this paper, both aspects are analyzed by means of the genetic study of seven polymorphic systems--ACP, ADA, AK, ESD, PGD, GC, and HP--in 854 autochthonous individuals from the province of Vizcaya. The individuals were classified as being from the regions of Arratia, Guernica, Durango, Uribe, Marquina, Lea, and Bilbao, on the basis of the birthplaces of their four grandparents. Analyses for heterogeneity of the gene frequencies distribution suggest that there is a moderate genetic heterogeneity, probably produced by centuries of geographical and administrative isolation of these regions. The comparison with caucasoid populations, performed using the principal components analysis and Cavalli-Sforza and Edwards arc distance, indicates that the subpopulations of the province of Vizcaya have experienced little genetic exchange with other caucasoids and that the distribution of their genetic frequencies differentiates them from other populations.     

Effective gene flow in a historically fragmented area at the southern edge of silver fir (<Emphasis Type="Italic">Abies alba</Emphasis> Mill.) distribution

Fragmented populations at the edges of a species’ distribution can be highly exposed to the loss of genetic variation, unless sufficient gene flow maintains their genetic connectivity. Gene movements leading to successful establishment of external gametes (i.e. effective gene flow) into fragmented populations can solely be assessed by investigating the origin of natural regeneration. This study is focused on studying gene flow patterns in two silver fir stands in Central Apennines, where the species has a highly fragmented distribution. By using nuclear and chloroplast microsatellite markers, we investigated genetic variation, fine-scale spatial genetic structure, effective gene flow rates and large-scale connectivity characterizing both stands. Similar levels of genetic variation and low genetic differentiation between stands (F _ST = 0.005) and across generations were found, coupled with low inbreeding and weak to absent SGS in the adult cohort (Sp < 0.003). On the other hand, substantial differences between the two stands in terms of gene flow rates were observed. Irrespective of the parentage approach used, higher gene flow rates were found in the stand located at the upper silver fir altitudinal limit, especially for seed-mediated gene flow (0.79 in the upper stand vs. 0.48 in the lower stand). Conversely, the lower stand was characterized by a higher reproductive dominance of local adults. Our findings suggest that, despite similar levels of genetic variation and generally high gene flow rates, different processes may be acting on the two stands, reflecting varying ecological conditions.