Crop genomics: advances and applications

The completion of reference genome sequences for many important crops and the ability to perform high-throughput resequencing are providing opportunities for improving our understanding of the history of plant domestication and to accelerate crop improvement. Crop plant comparative genomics is being transformed by these data and a new generation of experimental and computational approaches. The future of crop improvement will be centred on comparisons of individual plant genomes, and some of the best opportunities may lie in using combinations of new genetic mapping strategies and evolutionary analyses to direct and optimize the discovery and use of genetic variation. Here we review such strategies and insights that are emerging.     

Isothermal strand-displacement amplification applications for high-throughput genomics

Amplification of source DNA is a nearly universal requirement for molecular biology applications. The primary methods currently available to researchers are limited to in vivo amplification in Escherichia coli hosts and the polymerase chain reaction. Rolling-circle DNA replication is a well-known method for synthesis of phage genomes and recently has been applied as rolling circle amplification (RCA) of specific target sequences as well as circular vectors used in cloning. Here, we demonstrate that RCA using random hexamer primers with 29 DNA polymerase can be used for strand-displacement amplification of different vector constructs containing a variety of insert sizes to produce consistently uniform template for end-sequencing reactions. We show this procedure to be especially effective in a high-throughput plasmid production sequencing process. In addition, we demonstrate that whole bacterial genomes can be effectively amplified from cells or small amounts of purified genomic DNA without apparent bias for use in downstream applications, including whole genome shotgun sequencing.     

Plant molecular diversity and applications to genomics

Surveys of nucleotide diversity are beginning to show how genomes have been shaped by evolution. Nucleotide diversity is also being used to discover the function of genes through the mapping of quantitative trait loci (QTL) in structured populations, the positional cloning of strong QTL, and association mapping.     

Forest tree genomics: growing resources and applications

Over the past two decades, research in forest tree genomics has lagged behind that of model and agricultural systems. However, genomic research in forest trees is poised to enter into an important and productive phase owing to the advent of next-generation sequencing technologies, the enormous genetic diversity in forest trees and the need to mitigate the effects of climate change. Research on long-lived woody perennials is extending our molecular knowledge of complex life histories and adaptations to the environment - enriching a field that has traditionally drawn biological inference from a few short-lived herbaceous species.     

DNA transposons: nature and applications in genomics

Repeated DNA makes up a large fraction of a typical mammalian genome, and some repetitive elements are able to move within the genome (transposons and retrotransposons). DNA transposons move from one genomic location to another by a cut-and-paste mechanism. They are powerful forces of genetic change and have played a significant role in the evolution of many genomes. As genetic tools, DNA transposons can be used to introduce a piece of foreign DNA into a genome. Indeed, they have been used for transgenesis and insertional mutagenesis in different organisms, since these elements are not generally dependent on host factors to mediate their mobility. Thus, DNA transposons are useful tools to analyze the regulatory genome, study embryonic development, identify genes and pathways implicated in disease or pathogenesis of pathogens, and even contribute to gene therapy. In this review, we will describe the nature of these elements and discuss recent advances in this field of research, as well as our evolving knowledge of the DNA transposons most widely used in these studies.     

Practical applications of structural genomics technologies for mutagen research

Leaves of olive trees are an abundant raw material in the Mediterranean basin. They contain large amounts of potentially useful phytochemicals and could play beneficial roles in health care. In the present study, the principal bioactive phenols in olive-leaf extracts (OLEs) have been identified and quantified, and their genotoxic/antigenotoxic, cytotoxic and apoptotic effects have been assessed. The Somatic Mutation and Recombination Test (SMART) in wing imaginal discs of Drosophila melanogaster has been performed to test the possible genotoxicity of overall OLE and the individual components oleuropein and luteolin at different concentrations. The same assay was able to detect antigenotoxic activity against hydrogen peroxide as oxidative genotoxicant. None of the extracts/phenols tested showed significant mutagenic activity. This fact, together with the antigenotoxic activity against H(2)O(2) detected for all these extracts/phenols, confirmed the safety of OLE, oleuropein and luteolin in terms of DNA protection. HL60 human promyelocytic leukemia cells were used to assess the cytotoxic effects of the extracts/phenols. OLE, oleuropein and luteolin showed a dose-dependent cytotoxic effect with different IC50 (10μl/ml, 170μM, and 40μM, respectively). DNA fragmentation patterns and cell staining with acridine orange and ethidium bromide indicated that the mechanism for the cytotoxic effect of OLE, oleuropein and luteolin was the apoptotic pathway, with DNA laddering and cytoplasmic and nuclear changes. These results could help explain the mechanism of action that underlies the beneficial effect of OLE, proposed as a nutraceutical in the prevention of human cancer.     

Advances in cereal genomics and applications in crop breeding

Recent advances in cereal genomics have made it possible to analyse the architecture of cereal genomes and their expressed components, leading to an increase in our knowledge of the genes that are linked to key agronomically important traits. These studies have used molecular genetic mapping of quantitative trait loci (QTL) of several complex traits that are important in breeding. The identification and molecular cloning of genes underlying QTLs offers the possibility to examine the naturally occurring allelic variation for respective complex traits. Novel alleles, identified by functional genomics or haplotype analysis, can enrich the genetic basis of cultivated crops to improve productivity. Advances made in cereal genomics research in recent years thus offer the opportunities to enhance the prediction of phenotypes from genotypes for cereal breeding.     

Microbial nitrogen cycles: physiology, genomics and applications

Genes and pathways involved in inorganic nitrogen cycles have been found in traditional as well as unusual microorganisms. These pathways or enzymes play a very important role in the adaptation or survival of these microorganisms under a variety of environmental conditions. Microbial nitrogen metabolism has industrial applications ranging from wastewater treatment to bioremediation and potential future use in biocatalysis for chemical production.     

Potential applications of equine genomics in dissecting diseases and fertility

Following the recent development of high-resolution gene maps and generation of several basic tools and resources to use them in analyzing traits that are economically important to horse owners, genome analysis in horses is witnessing a shift towards developing an ability to analyze complex traits. The likelihood of this happening in the very near future is great, mainly because of the recent availability of the whole genome sequence in the horse. The latter has triggered the development of novel tools like SNP-chip and expression arrays that will permit rapid genome-wide analysis. While these tools will be used for a range of multi-factorial disease traits, attempts are underway to develop focused tools that can target reproduction, fertility and sex determination. For this, a catalog of sex and reproduction related (SRR) genes is being developed in horses. A recently developed dense map of the horse Y chromosome will provide genes that are expressed exclusively in males and, therefore, have an impact on stallion fertility. Overall, these advances in equine genome analysis hold promise for improved diagnosis and treatment of various conditions in horses.     

Crocus sativus L. genomics and different DNA barcode applications

Crocus sativus L. is a sterile species (3n) whose origin has not been yet clarified. A lot of morphological studies supported the theory that it would have been originated from the evolution, or the hybridization, of other Crocus exemplars, especially C. thomasii, C. hadriaticus and C. cartwrightianus. Crocus sativus stigmas are saffron raw source but, because of their high economic value, sometimes this spice is adulterated. By the application of the DNA barcode technique, we analyzed different Crocus species genomes and we partially clarified some aspects of the phylogeny of this genus: in particular, C. sativus possible genetic derivation was elucidated. Our results also showed that different C. sativus species might have evolved by independent events, probably due to several geographical pressures. We demonstrated that barcoding method, usually adopted for interspecific taxonomic identification, could be also applied to intraspecific and population studies. Finally, we proposed this molecular approach as scientific tool able to discriminate and certificate saffron authenticity.     

A scale-free structure prior for graphical models with applications in functional genomics

The problem of reconstructing large-scale, gene regulatory networks from gene expression data has garnered considerable attention in bioinformatics over the past decade with the graphical modeling paradigm having emerged as a popular framework for inference. Analysis in a full Bayesian setting is contingent upon the assignment of a so-called structure prior-a probability distribution on networks, encoding a priori biological knowledge either in the form of supplemental data or high-level topological features. A key topological consideration is that a wide range of cellular networks are approximately scale-free, meaning that the fraction, , of nodes in a network with degree is roughly described by a power-law with exponent between and . The standard practice, however, is to utilize a random structure prior, which favors networks with binomially distributed degree distributions. In this paper, we introduce a scale-free structure prior for graphical models based on the formula for the probability of a network under a simple scale-free network model. Unlike the random structure prior, its scale-free counterpart requires a node labeling as a parameter. In order to use this prior for large-scale network inference, we design a novel Metropolis-Hastings sampler for graphical models that includes a node labeling as a state space variable. In a simulation study, we demonstrate that the scale-free structure prior outperforms the random structure prior at recovering scale-free networks while at the same time retains the ability to recover random networks. We then estimate a gene association network from gene expression data taken from a breast cancer tumor study, showing that scale-free structure prior recovers hubs, including the previously unknown hub SLC39A6, which is a zinc transporter that has been implicated with the spread of breast cancer to the lymph nodes. Our analysis of the breast cancer expression data underscores the value of the scale-free structure prior as an instrument to aid in the identification of candidate hub genes with the potential to direct the hypotheses of molecular biologists, and thus drive future experiments.     

The next generation of microarray research: applications in evolutionary and ecological genomics

Microarray technology is one of the key developments in recent years that has propelled biological research into the post-genomic era. With the ability to assay thousands to millions of features at the same time, microarray technology has fundamentally changed how biological questions are addressed, from examining one or a few genes to a collection of genes or the whole genome. This technology has much to offer in the study of genome evolution. After a brief introduction on the technology itself, we then focus on the use of microarrays to examine genome dynamics, to uncover novel functional elements in genomes, to unravel the evolution of regulatory networks, to identify genes important for behavioral and phenotypic plasticity, and to determine microbial community diversity in environmental samples. Although there are still practical issues in using microarrays, they will be alleviated by rapid advances in array technology and analysis methods, the availability of many genome sequences of closely related species and flexibility in array design. It is anticipated that the application of microarray technology will continue to better our understanding of evolution and ecology through the examination of individuals, populations, closely related species or whole microbial communities.     

Metabolic footprinting in microbiology: methods and applications in functional genomics and biotechnology

Metabolomics embraces several strategies that aim to quantify cell metabolites in order to increase our understanding of how metabolite levels and interactions influence phenotypes. Metabolic footprinting represents a niche within metabolomics, because it focuses on the analysis of extracellular metabolites. Although metabolic footprinting represents only a fraction of the entire metabolome, it provides important information for functional genomics and strain characterization, and it can also provide scientists with a key understanding of cell communication mechanisms, metabolic engineering and industrial biotechnological processes. Due to the tight and convoluted relationship between intracellular metabolism and metabolic footprinting, metabolic footprinting can provide precious information about the intracellular metabolic status. Hereby, we state that integrative information from metabolic footprinting can assist in further interpretation of metabolic networks.     

EST分子标记开发及在比较基因组学中的应用

数量迅速增加的EST(expressed sequence tags)为分子标记的开发提供了宝贵的资源。与来自于基因组DNA开发的传统标记相比,以EST为基础的分子标记是一种新型分子标记,具有其显著的优势,如开发简便、信息量高和通用性好等,在多方面都有重要的利用价值。本文详细地介绍了目前基于EST开发的5类分子标记以及基于生物信息学方法的开发策略,这些标记包括EST-PCR、EST-SSR、EST-SNP、EST-RFLP和EST-AFLP。此外,对这些标记在比较基因组学研究中的应用进行了评述,包括比较作图、遗传多样性评价及系统发育研究等。