Plant genomics in Africa: present and prospects.

Plants are the world's most consumed goods. They are of high economic value and bring many health benefits. In most countries in Africa, the supply and quality of food will rise to meet the growing population's increasing demand. Genomics and other biotechnology tools offer the opportunity to improve subsistence crops and medicinal herbs in the continent. Significant advances have been made in plant genomics, which have enhanced our knowledge of the molecular processes underlying both plant quality and yield. The sequencing of complex genomes of African plant species, facilitated by the continuously evolving next-generation sequencing technologies and advanced bioinformatics approaches, has provided new opportunities for crop improvement. This review summarizes the achievements of genome sequencing projects of endemic African plants in the last two decades. We also present perspectives and challenges for future plant genomic studies that will accelerate important plant breeding programs for African communities. These challenges include a lack of basic facilities, a lack of sequencing and bioinformatics facilities, and a lack of skills to design genomics studies. However, it is imperative to state that African countries have become key players in the plant genome revolution and genome derived-biotechnology. Therefore, African governments should invest in public plant genomics research and applications, establish bioinformatics platforms and training programs, and stimulate university and industry partnerships to fully deploy plant genomics, particularly in the fields of agriculture and medicine.

Current status and future directions of U.S. genomic nursing health care policy.

BACKGROUND: As genomic science moves beyond government-academic collaborations into routine healthcare operations, nursing's holistic philosophy and evidence-based practice approach positions nurses as leaders to advance genomics and precision health care in routine patient care. PURPOSE: To examine the status of and identify gaps for U.S. genomic nursing health care policy and precision health clinical practice implementation. METHODS: We conducted a scoping review and policy priorities analysis to clarify key genomic policy concepts and definitions, and to examine trends and utilization of health care quality benchmarking used in precision health. FINDINGS: Genomic nursing health care policy is an emerging area. Educating and training the nursing workforce to achieve full dissemination and integration of precision health into clinical practice remains an ongoing challenge. Use of health care quality measurement principles and federal benchmarking performance evaluation criteria for precision health implementation are not developed. DISCUSSION: Nine recommendations were formed with calls to action across nursing practice workforce and education, nursing research, and health care policy arenas. CONCLUSIONS: To advance genomic nursing health care policy, it is imperative to develop genomic performance measurement tools for clinicians, purchasers, regulators and policymakers and to adequately prepare the nursing workforce.

Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis.

Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases like cancer, diabetes, cardiomyopathy, and COVID-19. With a progressive interpretation of the clinical, molecular, and genomic factors at play in diseases, more effective and personalized medical treatments are anticipated for many disorders. Understanding patient's metabolomics and genetic make-up in conjunction with clinical data will significantly lead to determining predisposition, diagnostic, prognostic, and predictive biomarkers and paths ultimately providing optimal and personalized care for diverse, and targeted chronic and acute diseases. In clinical settings, we need to timely model clinical and multi-omics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors, and actionable information that support early detection and prevention of complex disorders, and development of new therapies for better patient care. It is important to calculate quantitative phenotype measurements, evaluate variants in unique genes and interpret using ACMG guidelines, find frequency of pathogenic and likely pathogenic variants without disease indicators, and observe autosomal recessive carriers with a phenotype manifestation in metabolome. Next, ensuring security to reconcile noise, we need to build and train machine-learning prognostic models to meaningfully process multisource heterogeneous data to identify high-risk rare variants and make medically relevant predictions. The goal, today, is to facilitate implementation of mainstream precision medicine to improve the traditional symptom-driven practice of medicine, and allow earlier interventions using predictive diagnostics and tailoring better-personalized treatments. We strongly recommend automated implementation of cutting-edge technologies, utilizing machine learning (ML) and artificial intelligence (AI) approaches for the multimodal data aggregation, multifactor examination, development of knowledgebase of clinical predictors for decision support, and best strategies for dealing with relevant ethical issues.

Histo-genomics: digital pathology at the forefront of precision medicine.

The toughest challenge OMICs face is that they provide extremely high molecular resolution but poor spatial information. Understanding the cellular/histological context of the overwhelming genetic data is critical for a full understanding of the clinical behavior of a malignant tumor. Digital pathology can add an extra layer of information to help visualize in a spatial and microenvironmental context the molecular information of cancer. Thus, histo-genomics provide a unique chance for data integration. In the era of a precision medicine, a four-dimensional (4D) (temporal/spatial) analysis of cancer aided by digital pathology can be a critical step to understand the evolution/progression of different cancers and consequently tailor individual treatment plans. For instance, the integration of molecular biomarkers expression into a three-dimensional (3D) image of a digitally scanned tumor can offer a better understanding of its subtype, behavior, host immune response and prognosis. Using advanced digital image analysis, a larger spectrum of parameters can be analyzed as potential predictors of clinical behavior. Correlation between morphological features and host immune response can be also performed with therapeutic implications. Radio-histomics, or the interface of radiological images and histology is another emerging exciting field which encompasses the integration of radiological imaging with digital pathological images, genomics, and clinical data to portray a more holistic approach to understating and treating disease. These advances in digital slide scanning are not without technical challenges, which will be addressed carefully in this review with quick peek at its future.

"Bridging the Gap" Everything that Could Have Been Avoided If We Had Applied Gender Medicine, Pharmacogenetics and Personalized Medicine in the Gender-Omics and Sex-Omics Era.

. Gender medicine is the first step of personalized medicine and patient-centred care, an essential development to achieve the standard goal of a holistic approach to patients and diseases. By addressing the interrelation and integration of biological markers (i.e., sex) with indicators of psychological/cultural behaviour (i.e., gender), gender medicine represents the crucial assumption for achieving the personalized health-care required in the third millennium. However, 'sex' and 'gender' are often misused as synonyms, leading to frequent misunderstandings in those who are not deeply involved in the field. Overall, we have to face the evidence that biological, genetic, epigenetic, psycho-social, cultural, and environmental factors mutually interact in defining sex/gender differences, and at the same time in establishing potential unwanted sex/gender disparities. Prioritizing the role of sex/gender in physiological and pathological processes is crucial in terms of efficient prevention, clinical signs' identification, prognosis definition, and therapy optimization. In this regard, the omics-approach has become a powerful tool to identify sex/gender-specific disease markers, with potential benefits also in terms of socio-psychological wellbeing for each individual, and cost-effectiveness for National Healthcare systems. "Being a male or being a female" is indeed important from a health point of view and it is no longer possible to avoid "sex and gender lens" when approaching patients. Accordingly, personalized healthcare must be based on evidence from targeted research studies aimed at understanding how sex and gender influence health across the entire life span. The rapid development of genetic tools in the molecular medicine approaches and their impact in healthcare is an example of highly specialized applications that have moved from specialists to primary care providers (e.g., pharmacogenetic and pharmacogenomic applications in routine medical practice). Gender medicine needs to follow the same path and become an established medical approach. To face the genetic, molecular and pharmacological bases of the existing sex/gender gap by means of omics approaches will pave the way to the discovery and identification of novel drug-targets/therapeutic protocols, personalized laboratory tests and diagnostic procedures (sex/gender-omics). In this scenario, the aim of the present review is not to simply resume the state-of-the-art in the field, rather an opportunity to gain insights into gender medicine, spanning from molecular up to social and psychological stances. The description and critical discussion of some key selected multidisciplinary topics considered as paradigmatic of sex/gender differences and sex/gender inequalities will allow to draft and design strategies useful to fill the existing gap and move forward.

[Development of Plant Metabolomics and Medicinal Plant Genomics].

A variety of chemicals produced by plants, often referred to as 'phytochemicals', have been used as medicines, food, fuels and industrial raw materials. Recent advances in the study of genomics and metabolomics in plant science have accelerated our understanding of the mechanisms, regulation and evolution of the biosynthesis of specialized plant products. We can now address such questions as how the metabolomic diversity of plants is originated at the levels of genome, and how we should apply this knowledge to drug discovery, industry and agriculture. Our research group has focused on metabolomics-based functional genomics over the last 15 years and we have developed a new research area called 'Phytochemical Genomics'. In this review, the development of a research platform for plant metabolomics is discussed first, to provide a better understanding of the chemical diversity of plants. Then, representative applications of metabolomics to functional genomics in a model plant, Arabidopsis thaliana, are described. The extension of integrated multi-omics analyses to non-model specialized plants, e.g., medicinal plants, is presented, including the identification of novel genes, metabolites and networks for the biosynthesis of flavonoids, alkaloids, sulfur-containing metabolites and terpenoids. Further, functional genomics studies on a variety of medicinal plants is presented. I also discuss future trends in pharmacognosy and related sciences.

Genomic pathobiology of gastric carcinoma.

With the recent advances in genome sequencing technologies, comprehensive cancer genomic profiling has revealed the in-depth molecular mechanisms of gastric malignancies. New insights into the carcinogenesis pathways of gastric cancers have been acquired, not only by DNA sequencing, but also by the expression profiling of the transcriptome, the identification of chimeric genes, and epi-genetic profiling (such as DNA hypermethylation). Global genomic profiling of gastric cancers, in combination with histopathology, etiology, and cancer biology, has clarified that gastric cancers can be categorized into four subtypes with specific genomic characteristics. Here, we summarize recent knowledge concerning the clinically relevant genomic classifications of gastric cancers and discuss the therapeutic implications for such genomic subtypes, including future perspectives for immune-checkpoint blockade therapies against gastric malignancies.

The Multiple Histories of Western Asia: Perspectives from Ancient and Modern Genomes.

Western Asia lies at the heart of the Old World, in the midst of Africa, Asia, and Europe. As such, this region has been populated and repopulated by myriad peoples, starting with the first migrants from Africa. All evidence points to Western Asia for the beginnings of sedentary life, and indeed, first the villages and later the cities of this land remain as archaeological wonders, revealing complex histories of multiple peoples and their interactions. With the wondrous breakthroughs in genomic studies, we now have the power to look at these histories with a truly quantitative lens. Here, we review the recent anthropological genomics literature pertaining to this region, with an outlook for the future challenges and exciting possibilities for the field.

Exploiting the potential of next-generation sequencing in genomic medicine.

INTRODUCTION: The review highlights the impact of next-generation sequencing (NGS) on genomic medicine and the consequences of the progression from a single-gene panel technology to a whole exome sequencing approach. AREAS COVERED: We brought together literature-based evidences, personal unpublished data and clinical experience to provide a critical overview of the impact of NGS on our daily clinical practice. Expert commentary: NGS has changed the role of clinical geneticist and has broadened the view accomplishing a transition from a monogenic Mendelian perspective to an oligogenic approach to disorders. Thus, it is a compelling new expertise which combines clinical evaluation with big omics data interpretation and moves forward to phenotype re-evaluation in light of data analysis. We introduced the term, 'exotyping', to highlight this holistic approach. Further, the review discusses the impact that the combination of genetic reprogramming and transcriptome analysis will have on the discovery of evidence-based therapies.

[Genomic research of traditional Chinese medicines in vivo metabolism].

Gene is the base of in vivo metabolism and effectiveness for traditional Chinese medicines (TCM), and the gene expression, regulation and modification are used as the research directions to perform the TCM multi-component, multi-link and multi-target in vivo metabolism studies, which will improve the research on TCM metabolic proecess, effect target and molecular mechanism. Humans are superorganisms with 1% genes inherited from parents and 99% genes from various parts of the human body, mainly coming from the microorganisms in intestinal flora. These indicate that genetically inherited human genome and "second genome" could affect the TCM in vivo metabolism from inheritance and "environmental" aspects respectively. In the present paper, typical case study was used to discuss related TCM in vivo metabolic genomics research, mainly including TCM genomics research and gut metagenomics research, as well as the personalized medicine evoked from the individual difference of above genomics (metagenomics).

Holistic Nursing in the Genetic/Genomic Era.

Holistic nursing practice is an ever-evolving transformative process with core values that require continued growth, professional leadership, and advocacy. Holistic nurses are required to stay current with all new required competencies, such as the Core Competencies in Genetics for Health Professional, and, as such, be adept at translating scientific evidence relating to genetics/genomics in the clinical setting. Knowledge of genetics/genomics in relation to nursing practice, policy, utilization, and research influence nurses' responsibilities. In addition to holistic nursing competencies, the holistic nurse must have basic knowledge and skills to integrate genetics/genomics aspects. It is important for holistic nurses to enhance their overall knowledge foundation, skills, and attitudes about genetics to prepare for the transformation in health care that is already underway. Holistic nurses can provide an important perspective to the application of genetics and genomics, focusing on health promotion, caring, and understanding the relationship between caring and families, community, and society. Yet there may be a lack of genetic and genomic knowledge to fully participate in the current genomic era. This article will explore the required core competencies for all health care professionals, share linkage of holistic nurses in practice with genetic/genomic conditions, and provide resources to further one's knowledge base.

Biotechnological advances in tea (Camellia sinensis [L.] O. Kuntze): a review.

KEY MESSAGE: This article presents a comprehensive review on the success and limitations of biotechnological approaches aimed at genetic improvement of tea with a purpose to explore possibilities to address challenging areas. Tea is a woody perennial tree with a life span of more than 100 years. Conventional breeding of tea is slow and limited primarily to selection which leads to narrowing down of its genetic base. Harnessing the benefits of wild relatives has been negligible due to low cross-compatibility, genetic drag and undesirable alleles for low yield. Additionally, being a recalcitrant species, in vitro propagation of tea is constrained too. Nevertheless, maneuvering with tissue/cell culture techniques, a considerable success has been achieved in the area of micropropagation, somatic embryogenesis as well as genetic transformation. Besides, use of molecular markers, "expressomics" (transcriptomics, proteomics, metabolomics), map-based cloning towards construction of physical maps, generation of expressed sequenced tags (ESTs) have facilitated the identification of QTLs and discovery of genes associated with abiotic or biotic stress tolerance and agronomic traits. Furthermore, the complete genome (or at least gene space) sequence of tea is expected to be accessible in the near future which will strengthen combinational approaches for improvement of tea. This review presents a comprehensive account of the success and limitations of the biotechnological tools and techniques hitherto applied to tea and its wild relatives. Expectedly, this will form a basis for making further advances aimed at genetic improvement of tea in particular and of economically important woody perennials in general.

Genetics- and genomics-based interventions for nutritional enhancement of grain legume crops: status and outlook.

Meeting the food demands and ensuring nutritional security of the ever increasing global population in the face of degrading natural resource base and impending climate change is the biggest challenge of the twenty first century. The consequences of mineral/micronutrient deficiencies or the hidden hunger in the developing world are indeed alarming and need urgent attention. In addressing the problems associated with mineral/micronutrient deficiency, grain legumes as an integral component of the farming systems in the developing world have to play a crucial role. For resource-poor populations, a strategy based on selecting and/or developing grain legume cultivars with grains denser in micronutrients, by biofortification, seems the most appropriate and attractive approach to address the problem. This is evident from the on-going global research efforts on biofortification to provide nutrient-dense grains for use by the poorest of the poor in the developing countries. Towards this end, rapidly growing genomics technologies hold promise to hasten the progress of breeding nutritious legume crops. In conjunction with the myriad of expansions in genomics, advances in other 'omics' technologies particularly plant ionomics or ionome profiling open up novel opportunities to comprehensively examine the elemental composition and mineral networks of an organism in a rapid and cost-effective manner. These emerging technologies would effectively guide the scientific community to enrich the edible parts of grain legumes with bio-available minerals and enhancers/promoters. We believe that the application of these new-generation tools in turn would provide crop-based solutions to hidden hunger worldwide for achieving global nutritional security.

Applications of biotechnology and genomics in potato improvement.

Potato is the third most important global food crop and the most widely grown noncereal crop. As a species highly amenable to cell culture, it has a long history of biotechnology applications for crop improvement. This review begins with a historical perspective on potato improvement using biotechnology encompassing pathogen elimination, wide hybridization, ploidy manipulation and applications of cell culture. We describe the past developments and new approaches for gene transfer to potato. Transformation is highly effective for adding single genes to existing elite potato clones with no, or minimal, disturbances to their genetic background and represents the only effective way to produce isogenic lines of specific genotypes/cultivars. This is virtually impossible via traditional breeding as, due to the high heterozygosity in the tetraploid potato genome, the genetic integrity of potato clones is lost upon sexual reproduction as a result of allele segregation. These genetic attributes have also provided challenges for the development of genetic maps and applications of molecular markers and genomics in potato breeding. Various molecular approaches used to characterize loci, (candidate) genes and alleles in potato, and associating phenotype with genotype are also described. The recent determination of the potato genome sequence has presented new opportunities for genomewide assays to provide tools for gene discovery and enabling the development of robustly unique marker haplotypes spanning QTL regions. The latter will be useful in introgression breeding and whole-genome approaches such as genomic selection to improve the efficiency of selecting elite clones and enhancing genetic gain over time.

Phytochemical genomics--a new trend.

Phytochemical genomics is a recently emerging field, which investigates the genomic basis of the synthesis and function of phytochemicals (plant metabolites), particularly based on advanced metabolomics. The chemical diversity of the model plant Arabidopsis thaliana is larger than previously expected, and the gene-to-metabolite correlations have been elucidated mostly by an integrated analysis of transcriptomes and metabolomes. For example, most genes involved in the biosynthesis of flavonoids in Arabidopsis have been characterized by this method. A similar approach has been applied to the functional genomics for production of phytochemicals in crops and medicinal plants. Great promise is seen in metabolic quantitative loci analysis in major crops such as rice and tomato, and identification of novel genes involved in the biosynthesis of bioactive specialized metabolites in medicinal plants.

[Nutrigenetics and nutrigenomics - application of „omics” technologies in optimization of human nutrition]. / Nutrigenetyka i nutrigenomika - zastosowanie technologii „omics” w optymalizacji zywienia czlowieka.

Nowadays nutrigenetics and nutrigenomics are perceived as one of the most important research areas ensuring better understanding of an impact of nutrition on human health. Since such researches are interdisciplinary in type, there is a problem with their widespread acceptance and practical clinical application of obtained results. Understanding the new ideas and hypotheses published in researches on nutrigenetics/nutrigenomics requires some knowledge of genetics, biochemistry, molecular biology, and capabilities and limitations that are associated with the use of statistical and bioinformatic analysis, and above all „omics” research technologies (genomics, transcriptomics, proteomics, metabolomics). Highly efficient genome and proteome analysis techniques allow to obtain data necessary for profiling of an individual patient. The main problem is still our insufficient knowledge of cell physiology and biochemistry. The vast amount of information is obtained with the use of „omics” technologies what makes it difficult to interpret and infer. An unquestionable advantage of this type of research is the possibility to utilize system analysis (system biology) which is important in the context of a holistic interpretation of biological phenomena. This review is an attempt to present the main hypotheses and objectives which are carried out by researchers in nutrigenetics/nutrigenomics. This article describes the most important directions of research and anticipated results that are related to the practical use of nutritional genomics as well as the critical assessment of the possible impact of future developments on public health.