Genome profiling: a realistic solution for genotype-based identification of species

Species identification is the basis of Biology and has been carried out based on phenotype. Although some genes, such as that for 16S rRNA, have been used for species confirmation, identification of species based only on genotype has never been done before, although recent whole genome sequencing studies have demonstrated it to be possible in principle. However, it is evidently unrealistic for routine experiments of species identification. This paper clarifies that a very limited amount of information derived from a genome sequence is sufficient for identifying the species. It also proves that Genome Profiling [Nishigaki, K., Amano, N., and Takasawa, T. (1991) Chem. Lett. 1097-1100], TGGE analysis of random PCR products, can not only fulfill such requirements, but also serve as a universal method to analyze species. Thus, this compact technology can be used in many fields of biology, especially in microbe-related disciplines such as microbial ecology and epidemiology where exact knowledge about all members of a population is essential but previously difficult to obtain. This is the first demonstration that genotype-based identification of species is possible using a simple and uniform protocol for all organisms.     

Molecular Evidence for the Association of Tomato leaf curl Gujarat virus with a Leaf Curl Disease of Phaseolus vulgaris L.

A leaf curl disease with symptoms typical of begomoviruses was observed in bean (Phaseolus vulgaris) at the Main Research Farm of the Indian Institute of Pulses Research, Kanpur, India. Infected plants had severe distortion of leaves and the plants were unproductive. PCR indicated the involvement of French bean leaf curl virus (JQ866297), a recently described Begomovirus, and Tomato leaf curl Gujarat virus (ToLCGV). The full‐length genome of ToLCGV associated with leaf curl disease of bean was 2757 nucleotides long and had maximum identity (97–98%) with seven isolates of ToLCGV (AY234383, AF449999, EU573714, GQ994098, AY190290, FR819708, AF413671) and is designated as Tomato leaf curl Gujarat virus‐(IN:Knp:Bean:2013) (KF440686). To the best of our knowledge, this is the first record of ToLCGV infecting a leguminous host, P. vulgaris.     

Molecular design guided by a local map of sequence space: DNA aptamers that inhibit cathepsin E

It has been strongly demanded by a number of people to elevate activities of molecules of a particular function. Currently, there is no general guide available for this purpose. Here we present a novel approach for this; a local sequence space map-directed method for exploring molecules of a higher activity. This approach exploits the knowledge of a local sequence space so far established and obtains the shape of sequence space (map) by intra- and extrapolating the known landscape, which was drawn through the principal coordinates analysis. In this method, we successfully obtained 16 DNA aptamers of cathepsin E (CE) inhibitory activity that have comparable or higher activities than the ancestral ones on which the designed molecules were based. Some of them had a 30% higher activity than the previously reported top one (SFR-6-3). This high efficiency in obtaining functional molecules (16 out of 21 newly designed ones) is by no means usual because most of molecules generated at random are known to have no function, showing the effectiveness of the map-based approach. The selected molecules were confirmed to have the i-motif structure, consistent to the fact that they have a C-rich sequence and their CE-inhibitory activities were measured at an acidic pH, both of which are favorable for the i-motif. This structure of CE-inhibitory aptamers was inferred to contribute to the structural stability but not to the function itself directly.     

Display of disulfide-rich proteins by complementary DNA display and disulfide shuffling assisted by protein disulfide isomerase

We report an efficient system to produce and display properly folded disulfide-rich proteins facilitated by coupled complementary DNA (cDNA) display and protein disulfide isomerase-assisted folding. The results show that a neurotoxin protein containing four disulfide linkages can be displayed in the folded state. Furthermore, it can be refolded on a solid support that binds efficiently to its natural acetylcholine receptor. Probing the efficiency of the display proteins prepared by these methods provided up to 8-fold higher enrichment by the selective enrichment method compared with cDNA display alone, more than 10-fold higher binding to its receptor by the binding assays, and more than 10-fold higher affinities by affinity measurements. Cotranslational folding was found to have better efficiency than posttranslational refolding between the two investigated methods. We discuss the utilities of efficient display of such proteins in the preparation of superior quality proteins and protein libraries for directed evolution leading to ligand discovery.     

A database for the provisional identification of species using only genotypes: web-based genome profiling

Background  

For a long time one could not imagine being able to identify species on the basis of genotype only as there were no technological means to do so. But conventional phenotype-based identification requires much effort and a high level of skill, making it almost impossible to analyze a huge number of organisms, as, for example, in microbe-related biological disciplines. Comparative analysis of 16S rRNA has been changing the situation, however. We report here an approach that will allow rapid and accurate phylogenetic comparison of any unknown strain to all known type strains, enabling tentative assignments of strains to species. The approach is based on two main technologies: genome profiling and Internet-based databases.     

Genome analysis technologies: towards species identification by genotype.

Traditional identification of species has been based on phenotypic traits, although it is clear that, theoretically, genotype-based classification is more accurate. This is especially the case for microorganisms which possess less identifiable traits and are more easily influenced by environment. Therefore, technology that allows identification of species based on genotype is highly desirable. Whole genome sequencing can provide a sufficient amount of information and can be determinative for this purpose but is very impractical for routine use. Thus, a competent technology is needed that allows a reproducible reduction in the amount of information required about a whole genome, while still providing sufficiently accurate identification. It is almost imperative for such a technology to be of a high cost-performance and of easy handling. Universality and portability are also strongly desired. Based on these criteria, the current state of genome analysis technologies are reviewed. Among various methodologies discussed here, amplified fragment length polymorphism (AFLP), genome profiling (GP) and microarrays are the subject of particular attention. As species identification is a base for most fields of biology including microbiology, ecology, epidemiology and for various biotechnologies, it is of paramount importance to establish a more efficient, easily handled and more objective methodology, in parallel with conventional phenotype-based methodologies. GP is currently considered to have the most optimal nature for identification of species since it can reproducibly reduce a huge amount of genome information to a manageable size by way of random polymerase chain reaction and can extract a sufficient amount of information for species identification from the DNA fragments thus profiled by temperature gradient gel electrophoresis. The potential ability of DNA microarrays for this purpose is also discussed and promises much for the future.     

Whole genome sequence-enabled prediction of sequences performed for random PCR products of Escherichia coli

The sequence of an unknown PCR product generated by random (and conventional) PCR could be determined without sequencing when it is provided with the template DNA sequence. Theoretically, this was based on formerly established ideas which assert that the amount of random PCR product mainly depends on the stability of the primer-binding structures and that the dynamic solution structure of DNA is essentially governed by the Watson–Crick base pairing. However, it has not been clear whether this holds true for larger genomes of mega- to gigabase size, beside the λ phage genome (of 50 kb) used previously, nor has it been ascertained to uniquely specify the sequence of a random PCR product. Here, we jointly use two computer programs together with experimental data from Genome Profiling (i.e. TGGE analysis of random PCR products). The first procedure carried out by a newly remodeled computer program (PCRAna-A1) was shown to be competent to calculate a set of random PCR products from Escherichia coli genome DNA (4.7 Mb). The other procedure performed with another program (Poland-H) played a critical role in determining the final candidate sequence by theoretically offering the initial melting temperature and the melting pattern of unspecified candidate sequences. The success attained here not only proved our method to be useful for sequence prediction but also confirmed the above-mentioned ideas as rational. We believe that this is the first case to computer-utilize a genome sequence as a whole.     

Species-identification dots: a potent tool for developing genome microbiology

Identification of species has long been done by phenotype-based methodologies. Recently, genotype-based species identification has been shown to be possible by way of Genome profiling, which is based on a temperature gradient gel electrophoresis (TGGE) analysis of random PCR products. However, the results, though sufficient in information, provided by genome profiling were complicated and difficult to deal with objectively. To cope with this, a technology of utilizing species identification dots (spiddos), which corresponds to structural transition points of DNAs, was introduced. Pattern similarity score (PaSS), derived from spiddos, was shown to be usable for quantitatively measuring the closeness between genomes. This was demonstrated with the experiments applied to the genomes of Escherichia coli O157:H7 (19 strains). The same genomes were also examined by sequencing and RFLP methods in order to compare the effectiveness of these three methods. As a result, the spiddos method was shown to give reasonable results and to be the most advantageous for measuring the closeness between species in general. This means that spiddos is pushing the heavy gate open for genome microbiology.     

Selection-by-function: efficient enrichment of cathepsin E inhibitors from a DNA library

A method for efficient enrichment of protease inhibitors out of a DNA library was developed by introducing SF-link technology. A two-step selection strategy was designed consisting of the initial enrichment of aptamers based on binding function while the second enrichment step was based on the inhibitory activity to a protease, cathepsin E (CE). The latter was constructed by covalently linking of a biotinylated peptide substrate to each of the ssDNA molecule contained in the preliminarily selected DNA library, generating 'SF-link'. Gradual enrichment of inhibitory DNAs was attained in the course of selection. One molecule, SFR-6-3, showed an IC(50) of around 30 nM, a K(d) of around 15 nM and high selectivity for CE. Sequence and structure analysis revealed a C-rich sequence without any guanine and possibly an i-motif structure, which must be novel to be found in in vitro-selected aptamers. SF-link technology, which is novel as the screening technology, provided a remarkable enrichment of specific protease inhibitors and has a potential to be further developed.