植入前遗传学诊断的原理、方法及适应症

植入前遗传学诊断是一种非常早的产前诊断,指在胚胎着床之前即对配子或胚胎的遗传物质进行分析,检测配子或胚胎是否有遗传物质异常,选择正常胚胎进行移植。与传统的产前诊断相比,能避免选择性流产异常妊娠给妇女带来的心身痛苦。本文就该领域的发展及现状和其诊断原理、方法及适应症进行了总结和综述。 Abstract:Preimplatation genetic diagnosis (PGD) is a very early form of prenatal diagnosis.Gametes or embryos are biopsied and a genetic diagnosis is carried out on the biopsied cells to investigate if the gametes or embryos is free of genetic disease.And the normal embryos is transferred to the mother.Comparing to the traditional prenatal diagnosis,PGD is a method that can avoid aborting a abnormal pregnant and reduce pains of women.In this review,we introduce the history of development and statues in quo,principle,method and application of PGD.     

遗传密码子研究进展

作为生命信息的基本遗传单位,基因组遗传密码的破译对于人们加深对生命本质的认识具有重要的理论价值和现实意义。目前,遗传密码子的研究重心已由遗传密码子的破译及反常密码子的发现转入到遗传密码子的起源与进化及扩张等研究。遗传密码子的起源与进化是当今基因组学研究的热点命题之一,相关的学说、假设层出不穷,但尚未取得实质性突破。另一方面,无义密码子的再定义及遗传密码的扩张等研究却极大的丰富和发展了遗传密码子的科学内涵,推动了生命科学研究的发展。文章综述了遗传密码子的多态性、起源与进化、无义密码子的再定义及遗传密码的扩张等方面的研究进展,并就其应用价值作了评述,期待为其在基因组学、医学等相关领域的应用研究提供参考。     

Does genetic diversity limit disease spread in natural host populations?

It is a commonly held view that genetically homogenous host populations are more vulnerable to infection than genetically diverse populations. The underlying idea, known as the 'monoculture effect,' is well documented in agricultural studies. Low genetic diversity in the wild can result from bottlenecks (that is, founder effects), biparental inbreeding or self-fertilization, any of which might increase the risk of epidemics. Host genetic diversity could buffer populations against epidemics in nature, but it is not clear how much diversity is required to prevent disease spread. Recent theoretical and empirical studies, particularly in Daphnia populations, have helped to establish that genetic diversity can reduce parasite transmission. Here, we review the present theoretical work and empirical evidence, and we suggest a new focus on finding 'diversity thresholds.'     

基因工程在工业中的应用

基因工程技术的不断进步,为经济的发展注入了新鲜的血液;其应用涉及经济发展的诸多领域。本文仅简要介绍其在医药工业、酶制剂工业、环保工业、食品工业以及化学与能源工业上的应用情况。     

从植入前遗传学诊断异常的胚胎中分离人胚胎干细胞系

在体外受精过程中,通过胚胎植入前遗传性诊断（PGD）对有遗传风险患者的胚胎进行植入前活检和遗传学分析,选择无遗传性疾病的胚胎植入子宫,而PGD诊断异常的胚胎则会被丢弃。本研究尝试将PGD异常胚胎用于分离人胚胎干细胞,以获得携带遗传缺陷的人胚胎干细胞系。利用荧光原位杂交技术对第3-5天胚胎进行PGD检测,结果异常的胚胎进一步用于分离获取胚胎干细胞系,然后对h ES细胞系进行核型及干细胞表面标记、多能性基因表达、端粒酶活性以及分化能力等特征性鉴定。总共从13个PGD异常胚胎中分离获得8个人胚胎干细胞系,建系效率为61.5%,其中1个核型正常,5个核型异常。说明利用PGD异常胚胎可以获得携带遗传缺陷的人胚胎干细胞系,不仅为评估PGD技术临床结论的准确性提供了一种新方法,更重要的是为研究各种遗传性疾病的发病机理提供了有效的细胞模型。     

‘Saviour Siblings’? The Distinction between PGD with HLA Tissue Typing and Preimplantation HLA Tissue Typing

One of the more controversial uses of preimplantation genetic diagnosis (PGD) involves selecting embryos with a specific tissue type so that the child to be born can act as a donor to an existing sibling who requires a haematopoietic stem cell transplant. PGD with HLA tissue typing is used to select embryos that are free of a familial genetic disease and that are also a tissue match for an existing sibling who requires a transplant. Preimplantation HLA tissue typing occurs when parents select embryos that are not at risk of a familial genetic disease to be a match for an existing sibling who requires a transplant. In Victoria, Australia, applications to use PGD with HLA tissue typing are reviewed by the Infertility Treatment Authority on a case by case basis. Preimplantation HLA tissue typing is prohibited prima facie because the embryo to be tested would not be at risk for a genetic abnormality or disease. Arguments for or against the use of PGD/HLA tissue typing are based on several key issues including the commodification and welfare of the donor child. This essay aims to show that that the same arguments apply to both PGD with HLA tissue typing and Preimplantation HLA tissue typing, and that the policy distinction between the two procedures is therefore ethically inconsistent.     

Refining the ethics of preimplantation genetic diagnosis: A plea for contextualized proportionality

Many European countries uphold a ‘high risk of a serious condition’ requirement for limiting the scope of preimplantation genetic diagnosis (PGD). This ‘front door’ rule should be loosened to account for forms of PGD with a divergent proportionality. This applies to both ‘added PGD’ (aPGD), as an add‐on to in vitro fertilization (IVF), and ‘combination PGD’ (cPGD), for a secondary disorder in addition to the one for which the applicants have an accepted PGD indication. Thus loosening up at the front has implications at the back of PGD treatment, where a further PGD rule says that ‘affected embryos’ (in the sense of embryos with the targeted mutation or abnormality) should not be transferred to the womb. This ‘back door’ rule should be loosened to allow for transferring ‘last chance’ affected embryos in aPGD and cPGD cases, provided this does not entail a high risk that the child will have a seriously diminished quality of life.     

The search for loci under selection: trends,biases and progress

Detecting genetic variants under selection using F_ST outlier analysis (OA) and environmental association analyses (EAAs) are popular approaches that provide insight into the genetic basis of local adaptation. Despite the frequent use of OA and EAA approaches and their increasing attractiveness for detecting signatures of selection, their application to field‐based empirical data have not been synthesized. Here, we review 66 empirical studies that use Single Nucleotide Polymorphisms (SNPs) in OA and EAA. We report trends and biases across biological systems, sequencing methods, approaches, parameters, environmental variables and their influence on detecting signatures of selection. We found striking variability in both the use and reporting of environmental data and statistical parameters. For example, linkage disequilibrium among SNPs and numbers of unique SNP associations identified with EAA were rarely reported. The proportion of putatively adaptive SNPs detected varied widely among studies, and decreased with the number of SNPs analysed. We found that genomic sampling effort had a greater impact than biological sampling effort on the proportion of identified SNPs under selection. OA identified a higher proportion of outliers when more individuals were sampled, but this was not the case for EAA. To facilitate repeatability, interpretation and synthesis of studies detecting selection, we recommend that future studies consistently report geographical coordinates, environmental data, model parameters, linkage disequilibrium, and measures of genetic structure. Identifying standards for how OA and EAA studies are designed and reported will aid future transparency and comparability of SNP‐based selection studies and help to progress landscape and evolutionary genomics.     

Eugenic Selection Benefits Embryos

The primary question to be addressed here is whether pre‐implantation genetic diagnosis (PGD), used for both negative and positive trait selection, benefits potential supernumerary embryos. The phrase ‘potential supernumerary embryos’ is used to indicate that PGD is typically performed on a set of embryos, only some of which will be implanted. Prior to any testing, each embryo in the set is potentially supernumerary in the sense that it may not be selected for implantation. Those embryos that are not selected, and hence destroyed or frozen, are ‘actually supernumerary’. The argument to be advanced is hypothetical: If embryos may be said to benefit or be harmed by our actions, then PGD used to select for an embryo or embryos with the highest expected Wellbeing benefits potential supernumerary embryos. The argument shows that the ‘non‐identity’ problem is not sufficient to show that eugenic selection does not benefit supernumerary embryos.     

Advances in preimplantation genetic diagnosis/screening

Preimplantation genetic diagnosis (PGD) gives couples who have a high risk of transmitting genetic disorders to their baby the chance to have a healthy offspring through embryo genetic analysis and selection. Preimplantation genetic screening (PGS) is an effective method to select euploid embryos that may prevent repeated implantation failure or miscarriage. However, how and to whom PGS should be provided is a controversial topic. The first successful case of PGD of a human being was reported in 1990, and there have been tremendous improvements in this technology since then. Both embryo biopsy and genetic technologies have been improved dramatically, which increase the accuracy and expand the indications of PGD/PGS.     

Risk,parental autonomy and the epistemic divide: preimplantation genetic diagnosis in the Australian print news media, 1990–2007

Preimplantation genetic diagnosis (PGD) is a reproductive/genetic technology which has become the subject of public and scholarly debate because it involves the evaluation and consequent selection (and implantation) or destruction of human embryos. This research investigates the way PGD is constituted in the Australian print news media. Foucauldian discourse analysis reveals that proponents draw on their direct knowledge and experience of PGD to support their claims. There is an epistemic divide between consumers and others claiming direct knowledge, and critics and others drawing on indirect or abstract understandings of PGD. This divide characterizes the discourses present in the data and is directly linked to changes in these over the period under analysis.     

Preimplantation genetic diagnosis in Saudi Arabia

Preimplantation genetic diagnosis (PGD) testing is the practice of obtaining a cellular biopsy sample from a developing human oocyte or embryo, acquired via a cycle of in vitro fertilization (IVF); evaluating the genetic composition of this sample; and using this information to determine which embryos will be optimal for subsequent uterine transfer. PGD has become an increasingly useful adjunct to IVF procedures. The ability to provide couples who are known carriers of genetic abnormalities the opportunity to deliver healthy babies has opened a new frontier in reproductive medicine. The purpose of the PGD is enables us to choose which embryos will be implanted into the mother. In the present study 137 families who had undergone IVF at Habib Medical Centre, were enrolled for the PGD analysis. The couple visited the clinic for the sex selection, recurrent fetal loss and with the recurrent IVF failure. 802 embryos were tested by the biopsy method and 512 are found to be normal and 290 were abnormal embryos. In this study only 24% of the embryos were transferred and the remaining was not transferred because of the abnormalities or undesired sex of the embryos. The structural and numerical abnormalities were found to be 16.8%.     

Advances in pharmacogenomic research and development

Technological achievements in the last 5 to 10 yr and their application to sequencing and polymorphism discovery in the human genome have fostered a renewed interest in the genetic basis of drug response. Consequently, the field of pharmacogenetics/pharmacogenomics has been gaining momentum, fueled not only on technology but also on results of empirical studies of the human genome and on genetic epidemiology studies of real drugs in patient populations. This review discusses some of the recent advances in pharmacogenomic research and development over the last few years that include understanding the architecture of the human genome, the creation of population deoxyribonucleic acid (DNA)/data banks, assessment of the clinical validity of genetic markers, and experience with regulatory aspects of pharmacogenomics.     

History vs. current demography: explaining the genetic population structure of the common frog (Rana temporaria)

The amount of genetic variability at neutral marker loci is expected to decrease, and the degree of genetic differentiation among populations to increase, as a negative function of effective population size. We assessed the patterns of genetic variability and differentiation at seven microsatellite loci in the common frog (Rana temporaria) in a hierarchical sampling scheme involving three regions (208-885 km apart), three subregions within regions and nine populations (5-20 km apart) within subregions, and related the variability and differentiation estimates to variation in local population size estimates. Genetic variability within local populations decreased significantly with increasing latitude, as well as with decreasing population size and regional site occupancy (proportion of censured localities occupied). The positive relationship between population size and genetic variability estimates was evident also when the effect of latitude (cf. colonization history) was accounted for. Significant genetic differentiation was found at all hierarchical levels, and the degree of population differentiation tended to increase with increasing latitude. Isolation by distance was evident especially at the regional sampling level, and its strength increased significantly towards the north in concordance with decreasing census and marker-based neighbourhood size estimates. These results are in line with the conjecture that the influence of current demographic factors can override the influence of historical factors on species population genetic structure. Further, the observed reductions in genetic variability and increased degree of population differentiation towards the north are in line with theoretical and empirical treatments suggesting that effective population sizes decline towards the periphery of a species' range.     

Preimplantation genetic diagnosis: State of the ART 2011

For the last 20 years, preimplantation genetic diagnosis (PGD) has been mostly performed on cleavage stage embryos after the biopsy of 1–2 cells and PCR and FISH have been used for the diagnosis. The main indications have been single gene disorders and inherited chromosome abnormalities. Preimplantation genetic screening (PGS) for aneuploidy is a technique that has used PGD technology to examine chromosomes in embryos from couples undergoing IVF with the aim of helping select the chromosomally ‘best’ embryo for transfer. It has been applied to patients of advanced maternal age, repeated implantation failure, repeated miscarriages and severe male factor infertility. Recent randomised controlled trials (RCTs) have shown that PGS performed on cleavage stage embryos for a variety of indications does not improve delivery rates. At the cleavage stage, the cells biopsied from the embryo are often not representative of the rest of the embryo due to chromosomal mosaicism. There has therefore been a move towards blastocyst and polar body biopsy, depending on the indication and regulations in specific countries (in some countries, biopsy of embryos is not allowed). Blastocyst biopsy has an added advantage as vitrification of blastocysts, even post biopsy, has been shown to be a very successful method of cryopreserving embryos. However, mosaicism is also observed in blastocysts. There have been dramatic changes in the method of diagnosing small numbers of cells for PGD. Both array-comparative genomic hybridisation and single nucleotide polymorphism arrays have been introduced clinically for PGD and PGS. For PGD, the use of SNP arrays brings with it ethical concerns as a large amount of genetic information will be available from each embryo. For PGS, RCTs need to be conducted using both array-CGH and SNP arrays to determine if either will result in an increase in delivery rates.     

感受态还是芽胞？细胞命运决定的遗传调控网络

枯草芽胞杆菌作为一般认为安全(GRAS,Generally recognized as safe)菌株,被广泛应用于饲料、食品、生物防治等领域,同时,枯草芽胞杆菌作为表达宿主在工业酶的应用中扮演重要角色。然而,低效的芽胞形成率与感受态效率极大限制了枯草芽胞杆菌的应用潜力。尽管已有大量关于芽胞形成与感受态形成的分子遗传机制的研究报道,但是通过遗传改造提高枯草芽胞杆菌芽胞形成率与感受态效率的研究报道并不多。可能的原因是芽胞形成与感受态形成作为枯草芽胞杆菌生长后期两个主要的发育事件,受胞内复杂的遗传调控机制操纵,且两个遗传通路之间存在相互调控关系,对遗传改造工作形成挑战。随着基因工程与代谢工程研究的不断发展,积累了大量关于细胞生长、代谢与发育等方面的遗传信息,通过综合这些遗传信息构建细胞遗传调控网络,用于指导生产实践,已经成为当前研究的热点之一。基于此,本文简要概述了枯草芽胞杆菌芽胞形成和感受态形成的遗传通路,初步探讨了芽胞形成与感受态形成之间的遗传调控网络,及细胞在生长后期的遗传决定机制,并讨论了该遗传调控网络对枯草芽孢杆菌及其近缘种应用研究的指导作用。     

Geographic variation in genetic and demographic performance: new insights from an old biogeographical paradigm

The ‘centre–periphery hypothesis’ (CPH) is a long‐standing postulate in ecology that states that genetic variation and demographic performance of a species decrease from the centre to the edge of its geographic range. This hypothesis is based on an assumed concordance between geographical peripherality and ecological marginality such that environmental conditions become harsher towards the limits of a species range. In this way, the CPH sets the stage for understanding the causes of distribution limits. To date, no study has examined conjointly the consistency of these postulates. In an extensive literature review we discuss the birth and development of the CPH and provide an assessment of the CPH by reviewing 248 empirical studies in the context of three main themes. First, a decrease in species occurrence towards their range limits was observed in 81% of studies, while only 51% demonstrated reduced abundance of individuals. A decline in genetic variation, increased differentiation among populations and higher rates of inbreeding were demonstrated by roughly one in two studies (47, 45 and 48%, respectively). However, demographic rates, size and population performance less often followed CPH expectations (20–30% of studies). We highlight the impact of important methodological, taxonomic, and biogeographical biases on such validation rates. Second, we found that geographic and ecological marginality gradients are not systematically concordant, which casts doubt on the reliability of a main assumption of the CPH. Finally, we attempt to disentangle the relative contribution of geographical, ecological and historical processes on the spatial distribution of genetic and demographic parameters. While ecological marginality gradients explain variation in species' demographic performance better than geographic gradients, contemporary and historical factors may contribute interactively to spatial patterns of genetic variation. We thereby propose a framework that integrates species' ecological niche characteristics together with current and past range structure to investigate spatial patterns of genetic and demographic variation across species ranges.     

The computer program structure for assigning individuals to populations: easy to use but easier to misuse

The computer program Structure implements a Bayesian method, based on a population genetics model, to assign individuals to their source populations using genetic marker data. It is widely applied in the fields of ecology, evolutionary biology, human genetics and conservation biology for detecting hidden genetic structures, inferring the most likely number of populations (K), assigning individuals to source populations and estimating admixture and migration rates. Recently, several simulation studies repeatedly concluded that the program yields erroneous inferences when samples from different populations are highly unbalanced in size. Analysing both simulated and empirical data sets, this study confirms that Structure indeed yields poor individual assignments to source populations and gives frequently incorrect estimates of K when sampling is unbalanced. However, this poor performance is mainly caused by the adoption of the default ancestry prior, which assumes all source populations contribute equally to the pooled sample of individuals. When the alternative ancestry prior, which allows for unequal representations of the source populations by the sample, is adopted, accurate individual assignments could be obtained even if sampling is highly unbalanced. The alternative prior also improves the inference of K by two estimators, albeit the improvement is not as much as that in individual assignments to populations. For the difficult case of many populations and unbalanced sampling, a rarely used parameter combination of the alternative ancestry prior, an initial ALPHA value much smaller than the default and the uncorrelated allele frequency model is required for Structure to yield accurate inferences. I conclude that Structure is easy to use but is easier to misuse because of its complicated genetic model and many parameter (prior) options which may not be obvious to choose, and suggest using multiple plausible models (parameters) and K estimators in conducting comparative and exploratory Structure analysis.     

A blastocyst biopsy approach for preimplantation genetic diagnosis technique that affects the expression of SNAP-α in mice

Preimplantation genetic diagnosis (PGD) is a technique that is commonly used during assisted reproduction in the clinics to eliminate genetically abnormal embryos before implantation. The blastomere biopsy technique has risks related to the embryo, but blastocyst biopsy has not been systematically evaluated in relation to effects after birth, and the resulting offspring have not been followed up on. We designed a series of experiments to evaluate the risk of blastocyst biopsy on the resulting progeny. Mice were divided into a PGD group and a control group. The former was the progeny of mice that underwent blastocyst biopsy and the latter was delivered through a normal pregnancy without blastocyst biopsy. Each group consisted of 15 animals. We found no effects of blastocyst biopsy on reproductive capacities and weight gain. As for neurobehavioral evaluation between both groups, there were no significant differences in tail suspension test, sucrose preference test, the open field test and the elevated plus maze. Western blotting, immunohistochemistry and quantitative RT-PCR results showed that the expression levels of MBP, PRDX5 and UCHL1 in the PGD group were not significantly different compared to the control group, but SNAP-α expression in the PGD group was lower than that in control group. In summary, we concluded that blastocyst biopsy had no adverse effect on the general growth and behavior in mice. However, blastocyst biopsy effected the expression of SNAP-α. Therefore, the safety of blastocyst biopsy requires further evaluation.     

Seeing in the dark: molecular approaches to the study of bat populations

Whilst the use of molecular genetic techniques is widespread in the fields of population and evolutionary biology, their application within the mammalian order Chiroptera neither reflects the species richness nor the ecological and behavioural diversity of the order. This is despite the fact that the Chiroptera are problematic to study using more direct observational techniques. Here, we standardize and synthesise the current data, assess the contribution of molecular research to the study of bat species and highlight the importance of its continued and expanded use. At an inter-population level, molecular studies have demonstrated a great diversity of population genetic structure within the order. Among populations of migratory species, genetic structure appears universally low, and hence seasonal movement is likely to be the prevailing influence. However, for sedentary species an array of factors including dispersal ability, extrinsic barriers to gene flow and historical events may determine the extent of genetic partitioning among populations. Intrinsic factors such as wing morphology or roost requirements may also influence population genetic structure in sedentary bat species, a proposal which requires further research. Molecular studies have also made important contributions towards an understanding of social organisation in bats. Evidence indicates that in many polygynous species male mating success does not translate directly into reproductive success, perhaps as a result of multiple mating by females. Estimates of relatedness within and genetic structure among colonies are, in general, very low; a finding which has important implications regarding theories concerning the formation and persistence of bat social groups. Molecular studies have provided new and important insights into the ecology of bats, and have opened up exciting and previously unexplored avenues of research. The data from these studies suggest not only a predictive framework for future studies, but also the use of genetic data in the management and conservation of bat species.