Mediated speculations in the genomics futures markets

This article examines the interactions between the media and genomics, with particular reference to the case of deCODE Genetics in Iceland. It focuses on the role of "forward-looking statements" and other forms of speculation as they operate in the science of genomics, in the social relations that happen around genomics, and in the commercial genomics economy. The article discusses how these fundamentally anticipatory speech acts uttered or written by genomic corporate executives, journalists, or social scientists are simultaneously volatile, exceeding any formal practices of accounting or analysis, and demanding to be accounted for, analysed, or valued. The article discusses four speculative events or cases in the genomics economy: the March 2000 bursting out of the genomics bubble, prompted in part by remarks by President Clinton and Prime Minister Blair to the media concerning gene patenting; the new disclosure requirements of the US Securities and Exchange Commission (SEC) regarding "forward-looking statements" as they appear in genomics press releases; deCODE Genetics' registration statement with the SEC that discloses a settlement of a dispute over the ownership of a fragment of DNA; and the entanglement between the author's ethnographic fieldwork and the breaking news story of reported payoffs from deCODE to the Icelandic political parties.     

Beyond the genome: Reconstituting the new genetics

The mapping and sequencing of the human genome has been the 'Holy Grail' of the new genetics, and its publication marks a turning point in the development of modern biotechnology. However, the question remains: what has been the impact of this discovery on how biotechnology develops in science, and in society at large? Using concepts developed in the social studies of science and technology, the paper begins by rehearsing the historical development of the Human Genome Project (HGP), and suggests that its translation into genomics has been achieved through a process of 'black-boxing' to ensure stabilization. It continues by exploring the extent to which the move to genomics is part of a paradigm shift in biotechnology resulting from the conceptual and organizational changes that have occurred following the completion of HGP. The discussion then focuses on whether genomics can be seen as part of the development of socially robust knowledge in late modernity. The paper suggests that there is strong evidence that a transformation is indeed taking place. It concludes by sketching a social scientific agenda for investigating the reconstitution of the new genetics in a post-genomic era using a 'situated' analytic approach based on an understanding of techno-scientific change as both emergent and contingent.     

副干酪乳杆菌PC-01全基因组测序及不同副干酪乳杆菌菌株比较基因组学分析

【背景】副干酪乳杆菌(Lactobacillus paracasei)作为乳酸菌中重要菌种之一,常被认为是优良益生菌开发的潜在资源。【目的】以L.paracasei PC-01和L.paracasei Zhang为例,分析不同L.paracasei的基因组差异和遗传背景,为菌株的鉴定和开发奠定基础。【方法】采用PacBioSMRT三代测序技术对L.paracasei PC-01进行全基因组测序,结合2株L.paracasei模式菌株和公开的36株全基因组数据,通过比较基因组学方法揭示39株L.paracasei菌株之间的差异。【结果】L.paracasei PC-01基因组不包含质粒,染色体大小为2 829 251 bp,GC含量为46.64%;L.paracasei Zhang包含一个质粒基因组大小为2 898 456 bp,GC含量为46.51%;不同L.paracasei菌株基因组大小、质粒数及GC含量均存在一定差异。L.paracasei群体为开放式基因组,基因组具有高度多样性。基于核心基因构建系统发育树对于L.paracasei种内区分效果最好,L.paracasei PC-...     

三维基因组学研究进展

三维基因组学是一门研究基因组三维空间结构与功能的新兴学科,主要研究基因组序列在细胞核内的三维空间构象,及其对DNA复制、DNA重组、基因表达调控等生物过程的生物学效应。自染色质构象捕获技术(3C)出现后,三维基因组学相关研究领域飞速发展。借助于3C及其衍生技术、Hi-C和ChIA-PET等技术,科学家能对各类物种的三维基因组进行更为深入的研究,从而揭示微生物、植物和动物基因组的空间构象、染色质的相互作用模式、转录调控以及不同生物学性状的形成机制;挖掘与生命活动和疾病相关的关键基因和信号通路;推动农业科学、生命科学和医学等领域的快速发展。文中就三维基因组学研究进展作一综述,主要阐述三维基因组学的概念和研究技术的发展及其在农业科学、生命科学和医学等领域的应用,尤其是肿瘤领域所取得的阶段性研究成果。     

Perspectives on functional genomics

As the first assembly of the human genome was announced on June 26, 2000, we have entered post genome era. The genome sequence represents a new starting point for science and medicine with possible impact on research across the life sciences. In this review I tried to offer brief summaries of history and progress of the Human Genome Project and two major challenges ahead, functional genomics and DNA sequence variation research.     

从基因组学到功能蛋白质组学的研究

人类基因组草图绘制的完成,标志着生命科学已实质性地跨入了后基因组时代,研究重心已从揭示生命的所有遗传信息转移到在分子整体水平对功能的研究[1]。这种转向表明目前已进入功能基因组学(functional genom ics)以及随之产生的功能蛋白质组学(functional proteomics)等新学科领域的研究。     

Comparative genomics approaches to understanding and manipulating plant metabolism

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Highlights► Comparative genomics can help predict the function of unknown plant metabolic genes. ► Functional gene annotations are foundational to the construction of metabolic models. ► Models can simulate effects of genetic changes and thus guide metabolic engineering. ► Examples of comparative genomics facilitating gene discovery in plants are presented.     

Biobanks for genomics and genomics for biobanks

Biobanks include biological samples and attached databases. Human biobanks occur in research, technological development and medical activities. Population genomics is highly dependent on the availability of large biobanks. Ethical issues must be considered: protecting the rights of those people whose samples or data are in biobanks (information, autonomy, confidentiality, protection of private life), assuring the non-commercial use of human body elements and the optimal use of samples and data. They balance other issues, such as protecting the rights of researchers and companies, allowing long-term use of biobanks while detailed information on future uses is not available. At the level of populations, the traditional form of informed consent is challenged. Other dimensions relate to the rights of a group as such, in addition to individual rights. Conditions of return of results and/or benefit to a population need to be defined. With 'large-scale biobanking' a marked trend in genomics, new societal dimensions appear, regarding communication, debate, regulation, societal control and valorization of such large biobanks. Exploring how genomics can help health sector biobanks to become more rationally constituted and exploited is an interesting perspective. For example, evaluating how genomic approaches can help in optimizing haematopoietic stem cell donor registries using new markers and high-throughput techniques to increase immunogenetic variability in such registries is a challenge currently being addressed. Ethical issues in such contexts are important, as not only individual decisions or projects are concerned, but also national policies in the international arena and organization of democratic debate about science, medicine and society.     

Governing genomics in the 21st century: between risk and uncertainty

Abstract

The paper reconstructs the governance of genomics by sketching the main features, modes of operation and tactics of the emerging genomics apparatus. Genomic governance in the 20th century is characterized by the simultaneous operation of a process of the stabilization of knowledge regimes, in particular via patenting. Furthermore, we observe a heterogenization and globalization of the actors and knowledge creating systems in genomics governance. A variety of different mechanisms and strategies of governance are mobilized simultaneously. The transition of governing via risk to governance by uncertainty is another important feature of contemporary genomics governance. The implications of these trends for the regulation of genomics are considerable and might lead to the emergence of new patterns and spaces of conflict and controversy. The governance of genomics in the 21st century could become a more complex challenge than currently anticipated by many policy makers and the scientific community.     

Functional genomics of wood quality and properties

Genomics promises to enrich the investigations of biology and biochemistry. Current advancements in genomics have major implications for genetic improvement in animals, plants, and microorganisms, and for our understanding of cell growth, development, differentiation, and communication. Significant progress has been made in the understanding of plant genomics in recent years, and the area continues to     

枯草芽孢杆菌N2-10的基因组测序和比较基因组分析

【背景】枯草芽孢杆菌N2-10是一株具有较强抑菌能力且能产纤维素酶等多种水解酶的革兰氏阳性菌,在发酵饲料中具有较大的应用潜力。【目的】通过获得枯草芽孢杆菌N2-10的全基因组序列信息,进一步解析菌株次级代谢产物合成基因信息,并通过比较基因组学分析菌株N2-10与模式菌株的差异性,为阐明N2-10抑菌和益生机制提供理论基础。【方法】通过二代Illumina NovaSeq联合三代PacBio Sequel测序平台,对菌株N2-10进行全基因组测序,将测序数据进行基因组组装、基因预测与功能注释,并利用比较基因组学分析N2-10与其他菌株的差异。【结果】菌株N2-10基因组大小为4 036 899 bp,GC含量为43.88%;共编码4 163个编码基因,所有编码基因总长度为3594369bp,编码区总长度占基因组总长度的89.04%;含有85个tRNA、10个5S rRNA、10个16S rRNA、10个23S rRNA,以及2个CRISPR-Cas、1个前噬菌体和6个基因岛;在GO (gene ontolog)、COG (clusters of orthologous groups of...     

中国基因组学研究进展与发展态势

20 世纪 90 年代初,以完成人类基因组全序列测定和注释为核心任务的人类基因组计划在美国的领导下兴起．自1999年中国加入人类基因组计划到现在的10年时间里,中国基因组学得到了快速的发展,建立了先进的基因组学技术平台,并出色完成了多项重大基因组科学研究项目,对我国生命科学各个领域的发展产生了重要影响．结合我国基因组学研究现状,《中国科学C辑·生命科学》(Sci China Ser C-Life Sci) 2009年第1期发表了中国基因组学专题,综述了基因组测序、分型,功能基因检测技术和生物信息学分析技术,以及肝癌、免疫和环境与工业微生物的基因组学研究等方面的研究工作．     

Comparative genomics and the study of evolution by natural selection

Genomics profoundly affects most areas of biology, including ecology and evolutionary biology. By examining genome sequences from multiple species, comparative genomics offers new insight into genome evolution and the way natural selection moulds DNA sequence evolution. Functional divergence, as manifested in the accumulation of nonsynonymous substitutions in protein-coding genes, differs among lineages in a manner seemingly related to population size. For example, the ratio of nonsynonymous to synonymous substitution (d_N/d_S) is higher in apes than in rodents, compatible with Ohta's nearly neutral theory of molecular evolution, which suggests that the fixation of slightly deleterious mutations contributes to protein evolution at an extent negatively correlated with effective population size. While this supports the idea that functional evolution is not necessarily adaptive, comparative genomics is uncovering a role for positive Darwinian selection in 10–40% of all genes in different lineages, estimates that are likely to increase when the addition of more genomes gives increased power. Again, population size seems to matter also in this context, with a higher proportion of fixed amino acid changes representing advantageous mutations in large populations. Genes that are particularly prone to be driven by positive selection include those involved with reproduction, immune response, sensory perception and apoptosis. Genetic innovations are also frequently obtained by the gain or loss of complete gene sequences. Moreover, it is increasingly realized, from comparative genomics, that purifying selection conserves much more than just the protein-coding part of the genome, and this points at an important role for regulatory elements in trait evolution. Finally, genome sequencing using outbred or multiple individuals has provided a wealth of polymorphism data that gives information on population history, demography and marker evolution.     

Anno genominis XX: 20 years of Arabidopsis genomics

Twenty years ago, the Arabidopsis thaliana genome sequence was published. This was an important moment as it was the first sequenced plant genome and explicitly brought plant science into the genomics era. At the time, this was not only an outstanding technological achievement, but it was characterized by a superb global collaboration. The Arabidopsis genome was the seed for plant genomic research. Here, we review the development of numerous resources based on the genome that have enabled discoveries across plant species, which has enhanced our understanding of how plants function and interact with their environments.

The publication of the Arabidopsis genome sequence 20 years ago has had an enormous impact on the global plant science community.     

The success of structural genomics

The International Conference on Structural Genomics (ICSG 2011, ), held in Toronto Canada May 10–14, 2011 was a rich and exciting demonstration of how far structural genomics has come. Structural genomics has now matured into a field that includes both structure and the biology that structure enables. This has allowed targeting based on systematic approaches and on known biological importance and allows biochemical studies to be closely tied to structure determination. The wealth of purified proteins, clones, and chemical probes produced by structural genomics groups will enable a vast amount of follow-on research. The technologies, the structures, and the biology that were described at the meeting were at the cutting edge of science. Structural genomics has become a success.     

Consent to ‘personal’ genomics and privacy

Direct-to-consumer genetic tests and population genome research challenge traditional notions of privacy and consentThe concerns about genetic privacy in the 1990s were largely triggered by the Human Genome Project (HGP) and the establishment of population biobanks in the following decade. Citizens and lawmakers were worried that genetic information on people, or even subpopulations, could be used to discriminate or stigmatize. The ensuing debates led to legislation both in Europe and the USA to protect the privacy of genetic information and prohibit genetic discrimination.Notions of genetic determinism have also been eroded as population genomics research has discovered a plethora of risk factors that offer only probabilistic value…Times have changed. The cost of DNA sequencing has decreased markedly, which means it will soon be possible to sequence individual human genomes for a few thousand dollars. Notions of genetic determinism have also been eroded as population genomics research has discovered a plethora of risk factors that offer only probabilistic value for predicting disease. Nevertheless, there are several increasingly popular internet genetic testing services that do offer predictions to consumers of their health risks on the basis of genetic factors, medical history and lifestyle. Also, not to be underestimated is the growing popularity of social networks on the internet that expose the decline in traditional notions of the privacy of personal information. It was only a matter of time until all these developments began to challenge the notion of genetic privacy.For instance, the internet-based Personal Genome Project asks volunteers to make their personal, medical and genetic information publicly available so as, “to advance our understanding of genetic and environmental contributions to human traits and to improve our ability to diagnose, treat, and prevent illness” (www.personalgenomes.org). The Project, which was founded by George Church at Harvard University, has enrolled its first 10 volunteers and plans to expand to 100,000. Its proponents have proclaimed the limitations, if not the death, of privacy (Lunshof et al, 2008) and maintain that, under the principle of veracity, their own personal genomes will be made public. Moreover, they have argued that in a socially networked world there can be no total guarantee of confidentiality. Indeed, total protection of privacy is increasingly unrealistic in an era in which direct-to-consumer (DTC) genetic testing is offered on the internet (Lee & Crawley, 2009) and forensic technologies can potentially ‘identify'' individuals in aggregated data sets, even if their identity has been anonymized (Homer et al, 2008).Since the start of the HGP in the 1990s, personal privacy and the confidentiality of genetic information have been important ethical and legal issues. Their ‘regulatory'' expression in policies and legislation has been influenced by both genetic determinism and exceptionalism. Paradoxically, there has been a concomitant emergence of collaborative and international consortia conducting genomics research on populations. These consortia openly share data, on the premise that it is for public benefit. These developments require a re-examination of an ‘ethics of scientific research'' that is founded solely on the protection and rights of the individual.… total protection of privacy is increasingly unrealistic in an era in which direct-to-consumer (DTC) genetic testing is offered on the internetAlthough personalized medicine empowers consumers and democratizes the sharing of ‘information'' beyond the data sharing that characterizes population genomics research (Kaye et al, 2009), it also creates new social groups based on beliefs of common genetic susceptibility and risk (Lee & Crawley, 2009). The increasing allure of DTC genetic tests and the growth of online communities based on these services also challenges research in population genomics to provide the necessary scientific knowledge (Yang et al, 2009). The scientific data from population studies might therefore lend some useful validation to the results from DTC, as opposed to the probabilistic ‘harmful'' information that is now provided to consumers (Ransohoff & Khoury, 2010; Action Group on Erosion, Technology and Concentration, 2008). Population data clearly erodes the linear, deterministic model of Mendelian inheritance, in addition to providing information on inherited risk factors. The socio-demographic data provided puts personal genetic risk factors in a ‘real environmental'' context (Knoppers, 2009).Thus, beginning with a brief overview of the principles of data sharing and privacy under both population and consumer testing, we will see that the notion of identifiability is closely linked to the definition of what constitutes ‘personal'' information. It is against this background that we need to examine the issue of consumer consent to online offers of genetic tests that promise whole-genome sequencing and analysis. Moreover, we also demonstrate the need to restructure ethical reviews of genetic research that are not part of classical clinical trials and that are non-interventionist, such as population studies.The HGP heralded a new open access approach under the Bermuda Principles of 1996: “It was agreed that all human genomic sequence information, generated by centres funded for large-scale human sequencing, should be freely available and in the public domain in order to encourage research and development and to maximise its benefit to society” (HUGO, 1996). Reaffirmed in 2003 under the Fort Lauderdale Rules, the premise was that, “the scientific community will best be served if the results of community resource projects are made immediately available for free and unrestricted use by the scientific community to engage in the full range of opportunities for creative science” (HUGO, 2003). The international Human Genome Organization (HUGO) played an important role in achieving this consensus. Its Ethics Committee considered genomic databases as “global public goods” (HUGO Ethics Committee, 2003). The value of this information—based on the donation of biological samples and health information—to realize the benefits of personal genomics is maximized through collaborative, high-quality research. Indeed, it could be argued that, “there is an ethical imperative to promote access and exchange of information, provided confidentiality is protected” (European Society of Human Genetics, 2003). This promotion of data sharing culminated in a recent policy on releasing research data, including pre-publication data (Toronto International Data Release Workshop, 2009).There is room for improvement in both the personal genome and the population genome endeavoursIn its 2009 Guidelines for Human Biobanks and Genetic Research Databases, the Organization for Economic Cooperation and Development (OECD) states that the “operators of the HBGRD [Human Biobanks and Genetic Research Databases] should strive to make data and materials widely available to researchers so as to advance knowledge and understanding.” More specifically, the Guidelines propose mechanisms to ensure the validity of access procedures and applications for access. In fact, they insist that access to human biological materials and data should be based on “objective and clearly articulated criteria [...] consistent with the participants'' informed consent”. Access policies should be fair, transparent and not inhibit research (OECD, 2009).In parallel to such open and public science was the rise of privacy protection, particularly when it concerns genetic information. The United Nations Educational, Scientific and Cultural Organization''s (UNESCO) 2003 International Declaration on Human Genetic Data (UNESCO, 2003) epitomizes this approach. Setting genetic information apart from other sensitive medical or personal information, it mandated an “express” consent for each research use of human genetic data or samples in the absence of domestic law, or, when such use “corresponds to an important public interest reason”. Currently, however, large population genomics infrastructures use a broad consent as befits both their longitudinal nature as well as their goal of serving future unspecified scientific research. The risk is that ethics review committees that require such continuous “express” consents will thereby foreclose efficient access to data in such population resources for disease-specific research. It is difficult for researchers to provide proof of such “important public interest[s]” in order to avoid reconsents.Personal information itself refers to identifying and identifiable information. Logically, a researcher who receives a coded data set but who does not have access to the linking keys, would not have access to ‘identifiable'' information and so the rules governing access to personal data would not apply (Interagency Advisory Panel on Research Ethics, 2009; OHRP, 2008). In fact, in the USA, such research is considered to be on ‘non-humans'' and, in the absence of institutional rules to the contrary, it would theoretically not require research ethics approval (www.vanderbilthealth.com/main/25443).… the ethics norms that govern clinical research are not suited for the wide range of data privacy and consent issues in today''s social networks and bioinformatics systemsNevertheless, if the samples or data of an individual are accessible in more than one repository or on DTC internet sites, a remote possibility remains that any given individual could be re-identified (Homer et al, 2008). To prevent the restriction of open access to public databases, owing to the fear of re-identifiability, a more reasonable approach is necessary; “[t]his means that a mere hypothetical possibility to single out the individual is not enough to consider the persons as ‘identifiable''” (Data Protection Working Party, 2007). This is a proportionate and important approach because fundamental genomic ‘maps'' such as the International HapMap Project (www.hapmap.org) and the 1000 Genomes project (www.1000genomes.org) have stated as their goal “to make data as widely available as possible to further scientific progress” (Kaye et al, 2009). What then of the nature of the consent and privacy protections in DTC genetic testing?The Personal Genome Project makes the genetic and medical data of its volunteers publicly available. Indeed, there is a marked absence of the traditional confidentiality and other protections of the physician–patient relationship across such sites; overall, the degree of privacy protection by commercial DTC and other sequencing enterprises varies. The company 23andMe allows consumers to choose whether they wish to disclose personal information, but warns that disclosure of personal information is also possible “through other means not associated with 23andMe, […] to friends and/or family members […] and other individuals”. 23andMe also announces that it might enter into commercial or other partnerships for access to its databases (www.23andme.com). deCODEme offers tiered levels of visibility, but does not grant access to third parties in the absence of explicit consumer authorization (www.decodeme.com). GeneEssence will share coded DNA samples with other parties and can transfer or sell personal information or samples with an opt-out option according to their Privacy Policy, though the terms of the latter can be changed at any time (www.geneessence.com). Navigenics is transparent: “If you elect to contribute your genetic information to science through the Navigenics service, you allow us to share Your Genetic Data and Your Phenotype Information with not-for-profit organizations who perform genetic or medical research” (www.navigenics.com). Finally, SeqWright separates the personal information of its clients from their genetic information so as to avoid access to the latter in the case of a security breach (www.seqwright.com).Much has been said about the lack of clinical utility and validity of DTC genetic testing services (Howard & Borry, 2009), to say nothing of the absence of genetic counsellors or physicians to interpret the resulting probabilistic information (Knoppers & Avard, 2009; Wright & Kroese, 2010). But what are the implications for consent and privacy considering the seemingly divergent needs of ensuring data sharing in population projects and ‘protecting'' consumer-citizens in the marketplace?At first glance, the same accusations of paternalism levelled at ethics review committees who hesitate to respect the broad consent of participants in population databases could be applied to restraining the very same citizens from genetic ‘info-voyeurism'' on the internet. But, it should be remembered that citizen empowerment, which enables their participation both in population projects and in DTC, is expressed within very different contexts. Population biobanks, by the very fact of their broad consent and long-term nature, have complex security systems and are subject to governance and ongoing ethical monitoring and review. In addition, independent committees evaluate requests for access (Knoppers & Abdul-Rahman, 2010). The same cannot be said for the governance of the DTC companies just presented.There is room for improvement in both the personal genome and the population genome endeavours. The former require regulatory approaches to ensure the quality, safety, security and utility of their services. The latter require further clarification of their ongoing funding and operations and more transparency to the public as researchers begin to access these resources for disease-specific studies (Institute of Medicine, 2009). Public genomic databases should be interoperable and grant access to authenticated researchers internationally in order to be of utility and statistical significance (Burton et al, 2009). Moreover, to enable international access to such databases for disease-specific research means that the interests of publicly funded research and privacy protection must be weighed against each other, rather than imposing a requirement that research has to demonstrate that the public interest substantially outweighs privacy protection (Weisbrot, 2009). Collaboration through interoperability has been one of the goals of the Public Population Project in Genomics (P³G; www.p3g.org) and, more recently, of the Biobanking and Biomolecular Resources Research Infrastructure (www.bbmri.eu).Even if the tools for harmonization and standardization are built and used, will trans-border data flow still be stymied by privacy concerns? The mutual recognition between countries of privacy equivalent approaches—that is, safe harbour—the limiting of access to approved researchers and the development of international best practices in privacy, security and transparency through a Code of Conduct along with a system for penalizing those who fail to respect such norms, would go some way towards maintaining public trust in genomic and genetic research (P3G Consortium et al, 2009). Finally, consumer protection agencies should monitor DTC sites under a regulatory regime, to ensure that these companies adhere to their own privacy policies.… genetic information is probabilistic and participating in population or on-line studies may not create the fatalistic and harmful discriminatory scenarios originally perceived or imaginedMore importantly in both contexts, the ethics norms that govern clinical research are not suited for the wide range of data privacy and consent issues in today''s social networks and bioinformatics systems. One could go further and ask whether the current biomedical ethics review system is inadequate—if not inappropriate—in these ‘data-driven research'' contexts. Perhaps it is time to create ethics review and oversight systems that are particularly adapted for those citizens who seek either to participate through online services or to contribute to population research resources. Both are contexts of minimal risk and require structural governance reforms rather than the application of traditional ethics consent and privacy review processes that are more suited to clinical research involving drugs or devices. In this information age, genetic information is probabilistic, and participating in population or online studies might not create the fatalistic and harmful discriminatory scenarios originally perceived or imagined. The time is ripe for a change in governance and regulatory approaches, a reform that is consistent with what citizens seem to have already understood and acted on.? Open in a separate windowBartha Maria Knoppers     

Which species,how many,and from where: Integrating habitat suitability,population genomics,and abundance estimates into species reintroduction planning

Extirpated organisms are reintroduced into their former ranges worldwide to combat species declines and biodiversity losses. The growing field of reintroduction biology provides guiding principles for reestablishing populations, though criticisms remain regarding limited integration of initial planning, modeling frameworks, interdisciplinary collaborations, and multispecies approaches. We used an interdisciplinary, multispecies, quantitative framework to plan reintroductions of three fish species into Abrams Creek, Great Smoky Mountains National Park, USA. We first assessed the appropriateness of habitat at reintroduction sites for banded sculpin (Cottus carolinae), greenside darter (Etheostoma blennioides), and mottled sculpin (Cottus bairdii) using species distribution modeling. Next, we evaluated the relative suitability of nine potential source stock sites using population genomics, abundance estimates, and multiple‐criteria decision analysis (MCDA) based on known correlates of reintroduction success. Species distribution modeling identified mottled sculpin as a poor candidate, but banded sculpin and greenside darter as suitable candidates for reintroduction based on species‐habitat relationships and habitats available in Abrams Creek. Genotyping by sequencing revealed acceptable levels of genetic diversity at all candidate source stock sites, identified population clusters, and allowed for estimating the number of fish that should be included in translocations. Finally, MCDA highlighted priorities among candidate source stock sites that were most likely to yield successful reintroductions based on differential weightings of habitat assessment, population genomics, and the number of fish available for translocation. Our integrative approach represents a unification of multiple recent advancements in the field of reintroduction biology and highlights the benefit of shifting away from simply choosing nearby populations for translocation to an information‐based science with strong a priori planning coupled with several suggested posteriori monitoring objectives. Our framework can be applied to optimize reintroduction successes for a multitude of organisms and advances in the science of reintroduction biology by simultaneously addressing a variety of past criticisms of the field.     

Social Provisions of the Human—Animal Relationship amongst 30 People Living with HIV in Australia

ABSTRACT

Research on the relationship between humans and animals has identified some links between companion animals and physiological, psychological, and social benefits for the human. Adopting Robert Weiss's (1974) Theory of Social Provisions as a framework, this qualitative study explores the role of the human-animal relationship amongst 30 people living with the Human Immunodeficiency Virus (HIV) in Australia. Despite the transition of HIV from a terminal to chronic condition in many developed nations, there can still be personal and social challenges accompanying an HIV-diagnosis. Thematic analysis of the 30 interviews identified themes of Attachment, Opportunity for Nurturance, Reassurance of Worth, Reliable Alliance, Obtaining of Guidance/Emotional Support, and Social Integration. Extracts coded to these themes indicated that many participants believed their companion animal motivated them to remain socially and physically active; provided an outlet for love and attachment; remained non-judgmental irrespective of the human's physical or social status; and was capable of providing both day-to-day comfort through their reliable presence, and episode-specific supportive responses during periods of heightened stress. It was proposed that for people living with a chronic and/or stigmatized condition like HIV, these aspects of the human-animal relationship may play an important part in their overall wellbeing. In conclusion, this study contributes to a greater understanding of the lived experience of HIV and provides a conceptually sound mechanism for validating the love and support that some HIV-positive people perceive in their relationship with a companion animal. This knowledge draws attention to the need to normalize, validate, and support the human-animal relationship throughout the animal's life, and death.     

Progress in the genomics and genome-wide study of sake yeast

ABSTRACT

Completion of the whole genome sequence of a laboratory yeast strain Saccharomyces cerevisiae in 1996 ushered in the development of genome-wide experimental tools and accelerated subsequent genetic study of S. cerevisiae. The study of sake yeast also shared the benefit of such tools as DNA microarrays, gene disruption-mutant collections, and others. Moreover, whole genome analysis of representative sake yeast strain Kyokai no. 7 was performed in the late 2000s, and enabled comparative genomics between sake yeast and laboratory yeast, resulting in some notable finding for of sake yeast genetics. Development of next-generation DNA sequencing and bioinformatics also drastically changed the field of the genetics, including for sake yeast. Genomics and the genome-wide study of sake yeast have progressed under these circumstances during the last two decades, and are summarized in this article.

Abbreviations: AFLP: amplified fragment length polymorphism; CGH: comparative genomic hybridization; CNV: copy number variation; DMS: dimethyl succinate; DSW: deep sea water; LOH: loss of heterozygosity; NGS: next generation sequencer; QTL: quantitative trait loci; QTN: quantitative trait nucleotide; SAM: S-adenosyl methionine; SNV: single nucleotide variation     

合成基因组学：设计与合成的艺术

随着基因组相关技术(测序、编辑、合成等)和知识(功能基因组学)的日益成熟,合成基因组学在本世纪迎得了发展的契机。病毒、原核生物的全基因组相继被化学合成并支持生命的存活,第1个真核生物合成基因组计划已经完成过半,人类基因组编写计划提上日程。在基因组合成的实践过程中,研究者们不断探索对基因组进行重编和设计所应遵循的规则,提高从头合成、组装和替换基因组的技术手段。合成基因组在工业、环境、健康和基础研究领域有着广阔的应用前景,同时也带来了相应的伦理问题。结合在Sc2.0计划中的基因组合成研究和近期合成基因组学所取得的重大进展,本文综述了基因组设计和合成相关的科学、技术和伦理内容,并探讨了未来发展所面对的挑战。作为合成生物学最重要的领域之一,合成基因组学方兴未艾。