Applications of DNA and protein microarrays in comparative physiology

DNA microarrays have revolutionized gene expression studies and made large-scale parallel measurement of whole genome expression a feasible technique in model species where genomes are well characterized. Such studies are perfectly suited to unraveling the complex regulation and/or interaction of both genes and proteins likely involved in most physiological processes. Gene expression profiles are currently being used to identify genes underlying a range of physiological responses. Characterization of these genes will help to elucidate the pathways and processes regulating physiological processes. Expanding the use of DNA microarrays to non-model species that have been critical in elucidating certain physiological pathways will be valuable in determining the genes associated with these processes. Approaches that do not require complete genome information have recently been applied to "non-model" organisms. As whole genomes are sequenced for non-model organisms, the application of DNA microarrays to comparative physiology will expand even further. The recent development of protein microarrays will be critical in understanding the regulation of physiological processes not accounted for at the genomic level. Together, DNA and protein microarrays provide the most thorough and efficient method of understanding the molecular basis of physiological processes to date. In turn, classical physiological approaches will be vital in characterizing and verifying the function of the novel genes identified by microarray experiments. Ultimately, DNA and protein microarray expression profiles may be used to predict physiological responses.     

High-throughput methods of regulatory element discovery

With the number of organisms whose genomes have been sequenced, a vast amount of information concerning the genetic structure of an organism's genome has been collected. However, effective experiment means to study how this information is accessed have only recently been developed. In this review, three basic methods for identifying regions of protein-DNA interaction will be introduced. The first two, chromatin immunoprecipitation (ChIP)-chip and ChIP-PET (for paired-end ditag), rely on the enrichment provided by chromosomal immunoprecipitation to interrogate the genomic sequence for the interaction sites of a protein of interest. In contrast, protein microarrays allow the identification of DNA binding protein that interacts with a DNA sequence of interest. These complementary methods of exploring protein-DNA interactions will increase our fundamental knowledge of how the information contained within the genome sequence is accessed and processed.     

Protein microarrays: from serodiagnosis to whole proteome scale analysis of the immune response against pathogenic microorganisms

Microbial diseases remain the most common cause of global mortality and morbidity. Scientific and technical achievements have dramatically improved the possibilities of investigating the humoral immune response against the whole proteome of microbial organisms. A number of genomes of microbial organisms responsible for diseases of worldwide medical importance such as Plasmodium, Toxoplasma, Mycobacterium, Streptococcus, Neisseria, Salmonella, Borrelia, and Rickettsia species have already been sequenced or will be available in the very near future. High-throughput assays such as protein microarrays have been clinically validated in serum for detecting the presence of antibodies directed against microbial antigens. Computational technologies for processing large sets of data are rapidly being developed. Such a powerful combination of genomic information and assays now offers the opportunity to identify the microbial antigens that, either alone or in combination, function as targets of natural acquired immunity against infectious diseases. This information will prove invaluable for developing vaccines against a series of microorganisms of medical relevance that are urgently needed, e.g., malaria. Additional applications of these technologies include the development of a microbial antigen array for the early serodiagnosis of both common and rare infectious diseases. This review will focus on technical and scientific issues concerning the use of antigen microarrays for vaccine development and the serodiagnosis of infectious diseases.     

Microarray methods in Drosophila neurobiology

In the relatively short period since their development, DNA microarrays have been used increasingly in the study of genetic and cellular processes, thereby offering a genome-wide approach to gene expression studies. With the advent of genome sequencing programs for organisms from yeast to man, the number of organisms which now have ready-made commercial arrays continues to increase. Here, the principle of DNA microarrays is introduced, with particular attention being given to the role of this technology in studies of the nervous system of the fruitfly Drosophila melanogaster. The importance of experimental design and sample preparation, in line with minimum information about microarray experiment (MIAME) compliance, is emphasised. The technical platforms available to the Drosophila neurobiologist have been illustrated and a brief number of data analysis tools that are readily available reviewed.     

Use of expressed sequence tag analysis and cDNA microarrays of the filamentous fungus Aspergillus nidulans

The use of microarrays in the analysis of gene expression is becoming widespread for many organisms, including yeast. However, although the genomes of a number of filamentous fungi have been fully or partially sequenced, microarray analysis is still in its infancy in these organisms. Here, we describe the construction and validation of microarrays for the fungus Aspergillus nidulans using PCR products from a 4092 EST conidial germination library. An experiment was designed to validate these arrays by monitoring the expression profiles of known genes following the addition of 1% (w/v) glucose to wild-type A. nidulans cultures grown to mid-exponential phase in Vogel's minimal medium with ethanol as the sole carbon source. The profiles of genes showing statistically significant differential expression following the glucose up-shift are presented and an assessment of the quality and reproducibility of the A. nidulans arrays discussed.     

IS LIFE IMPOSSIBLE? INFORMATION,SEX, AND THE ORIGIN OF COMPLEX ORGANISMS

The earliest organisms are thought to have had high mutation rates. It has been asserted that these high mutation rates would have severely limited the information content of early genomes. This has led to a well‐known “paradox” because, in contemporary organisms, the mechanisms that suppress mutations are quite complex and a substantial amount of information is required to construct these mechanisms. The paradox arises because it is not clear how efficient error‐suppressing mechanisms could have evolved, and thus allowed the evolution of complex organisms, at a time when mutation rates were too high to permit the maintenance of very substantial amounts of information within genomes. Here, we use concepts from the formal theory of information to calculate the amount of genomic information that can be maintained. We identify conditions under which much higher levels of genomic information can be maintained than previously considered possible among origin‐of‐life researchers. In particular, we find that the highest levels of information are maintained when many genotypes produce identical phenotypes, and when reproduction occasionally involves recombination between multiple parental genomes. There is a good reason to believe that these conditions are relevant for very early organisms, and thus the results presented may provide a solution to a long‐standing logical problem associated with the early evolution of life.     

Non-gamma-proteobacteria gene islands contribute to the Xanthomonas genome

Horizontal gene transfer, a process through which genomes acquire sequences from distantly related organisms, is believed to be a major source of genetic diversity in bacteria. A central question concerning the impact of gene transfer on bacterial genome evolution is the proportion of horizontally transferred sequences within genomes. Through BLAST search, we found that the genomes of two phytopathogens, Xanthomonas campestris pv. campestris and Xanthomonas axonopodis pv. citri, have close to 40% of the genes with the highest similarity to genes from phylogenetically distant organisms (non-gamma-proteobacteria). Most of these genes are found to be contiguous in the genome, forming genome islands, which may have been transferred from other organisms. Overall, the total number of genes within genome islands corresponds to almost one quarter of the entire xanthomonad genomes. Interestingly, many of the genes in these islands are functionally related to plant pathogenesis and virulence. Thus, these results suggest that horizontally transferred genes are clustered in the genome, and may facilitate fitness in new environments, as in the case of plant-bacteria interaction.     

What stories can the Frankia genomes start to tell us?

Among the Actinobacteria, the genus Frankia is well known for its facultative lifestyle as a plant symbiont of dicotyledonous plants and as a free-living soil dweller. Frankia sp. strains are generally classified into one of four major phylogenetic groups that have distinctive plant host ranges. Our understanding of these bacteria has been greatly facilitated by the availability of the first three complete genome sequences, which suggested a correlation between genome size and plant host range. Since that first report, eight more Frankia genomes have been sequenced. Representatives from all four lineages have been sequenced to provide vital baseline information for genomic approaches toward understanding these novel bacteria. An overview of the Frankia genomes will be presented to stimulate discussion on the potential of these organisms and a greater understanding of their physiology and evolution.     

Reconstructing evolutionary relationships from functional data: a consistent classification of organisms based on translation inhibition response

The last two decades have witnessed an unsurpassed effort aimed at reconstructing the history of life from the genetic information contained in extant organisms. The availability of many sequenced genomes has allowed the reconstruction of phylogenies from gene families and its comparison with traditional single-gene trees. However, the appearance of major discrepancies between both approaches questions whether horizontal gene transfer (HGT) has played a prominent role in shaping the topology of the Tree of Life. Recent attempts at solving this controversy and reaching a consensus tree combine molecular data with additional phylogenetic markers. Translation is a universal cellular function that involves a meaningful, highly conserved set of genes: both rRNA and r-protein operons have an undisputed phylogenetic value and rarely undergo HGT. Ribosomal function reflects the concerted expression of that genetic network and consequently yields information about the evolutionary paths followed by the organisms. Here we report on tree reconstruction using a measure of the performance of the ribosome: antibiotic sensitivity of protein synthesis. A large database has been used where 33 ribosomal systems belonging to the three major cellular lineages were probed against 38 protein synthesis inhibitors. Different definitions of distance between pairs of organisms have been explored, and the classical algorithm of bootstrap evaluation has been adapted to quantify the reliability of the reconstructions obtained. Our analysis returns a consistent phylogeny, where archaea are systematically affiliated to eukarya, in agreement with recent reconstructions which used information-processing systems. The integration of the information derived from relevant functional markers into current phylogenetic reconstructions might facilitate achieving a consensus Tree of Life.     

Differential distributions of mononucleotide repeat sequences in 256 viral genomes and its potential implications

Mononucleotide repeats (MNRs) have been systematically investigated in the genomes of eukaryotic and prokaryotic organisms. However, detailed information on the distribution of MNRs in viral genomes is limited. In this study, we examined the distributions of MNRs in 256 fully sequenced virus genomes which showed extensive variations across viral genomes, and is significantly influenced by both genome size and CG content. Furthermore, the ratio of the observed to the expected number of MNRs (O/E ratio) appears to be influenced by both the host range and genome type of a particular virus. Additionally, the densities and frequencies of MNRs in genic regions are lower than in non-coding regions, suggesting that selective pressure acts on viral genomes. We also discuss the potential functional roles that these MNR loci could play in virus genomes. To our knowledge, this is the first analysis focusing on MNRs in viruses, and our study could have potential implications for a deeper understanding of virus genome stability and the co-evolution that occurs between a virus and its host.     

Ribonucleotides in DNA: Origins,repair and consequences

While primordial life is thought to have been RNA-based (Cech, Cold Spring Harbor Perspect. Biol. 4 (2012) a006742), all living organisms store genetic information in DNA, which is chemically more stable. Distinctions between the RNA and DNA worlds and our views of “DNA” synthesis continue to evolve as new details emerge on the incorporation, repair and biological effects of ribonucleotides in DNA genomes of organisms from bacteria through humans.     

Bacterial phytopathogens and genome science

There are now fourteen completed genomes of bacterial phytopathogens, all of which have been generated in the past six years. These genomes come from a phylogenetically diverse set of organisms, and range in size from 870 kb to more than 6Mb. The publication of these annotated genomes has significantly helped our understanding of bacterial plant disease. These genomes have also provided important information about bacterial evolution. Examples of recently completed genomes include: Pseudomonas syringae pv tomato, which is notable for its large repertoire of effector proteins; Leifsonia xyli subsp. xyli, the first Gram-positive bacterial genome to be sequenced; and Phytoplasma asteris, the small genome that lacks important functions previously thought to be essential in a bacterium.     

An integrated Arabidopsis annotation database for Affymetrix Genechip data analysis, and tools for regulatory motif searches

Genome-scale sequencing projects have provided the essential information required for the construction of entire genome chips or microarrays for RNA expression studies. The Arabidopsis and rice genomes have been sequenced and whole-genome oligonucleotide arrays are being manufactured. These should soon become available to researchers. Expression studies using genomic-scale expression arrays are providing us with a vast quantity of information at a rapid pace. The rate-limiting step in this type of experiments is not the data generation step but rather the data analysis component of experiments. We report improvements that should facilitate the analysis of Affymetrix Genechip expression data.