Automatic Determination of the Sequential Order of Dynamic Data and Its Application to Vibrational Spectroscopy.

For over the past 30 years, generalized two-dimensional correlation spectroscopy has formed an active and widespread research area. One of the most attractive properties of this method is that one can determine the sequential order of signal changes. But the determination of the sequential order has only been done manually for several arbitrarily chosen bands. In this paper, we develop a method to automatically determine the sequential order of all of the band intensity changes, and we applied this method to band changes of vibration spectra. This method will open a door to analyze more complicated signals often seen in life phenomena.

Practical Computation of FFT-based Generalized Two-dimensional Correlation Spectroscopy.

A practical computation of fast Fourier transformation (FFT) based generalized two-dimensional (2D) correlation spectroscopy is described. Using simple sinusoids, we tested and confirmed that the method served effectively and properly, invariant to the changes of the number of data points of the time profiles. This computation is applicable to any type of waveforms in a versatile manner.

Ortholog-Finder: A Tool for Constructing an Ortholog Data Set.

Orthologs are widely used for phylogenetic analysis of species; however, identifying genuine orthologs among distantly related species is challenging, because genes obtained through horizontal gene transfer (HGT) and out-paralogs derived from gene duplication before speciation are often present among the predicted orthologs. We developed a program, "Ortholog-Finder," to obtain ortholog data sets for performing phylogenetic analysis by using all open-reading frame data of species. The program includes five processes for minimizing the effects of HGT and out-paralogs in phylogeny construction: 1) HGT filtering: Genes derived from HGT could be detected and deleted from the initial sequence data set by examining their base compositions. 2) Out-paralog filtering: Out-paralogs are detected and deleted from the data set based on sequence similarity. 3) Classification of phylogenetic trees: Phylogenetic trees generated for ortholog candidates are classified as monophyletic or polyphyletic trees. 4) Tree splitting: Polyphyletic trees are bisected to obtain monophyletic trees and remove HGT genes and out-paralogs. 5) Threshold changing: Out-paralogs are further excluded from the data set based on the difference in the similarity scores of genuine orthologs and out-paralogs. We examined how out-paralogs and HGTs affected phylogenetic trees constructed for species based on ortholog data sets obtained by Ortholog-Finder with the use of simulation data, and we determined the effects of confounding factors. We then used Ortholog-Finder in phylogeny construction for 12 Gram-positive bacteria from two phyla and validated each node of the constructed tree by comparison with individually constructed ortholog trees.

HGT-Gen: a tool for generating a phylogenetic tree with horizontal gene transfer.

UNLABELLED: Horizontal gene transfer (HGT) is a common event in prokaryotic evolution. Therefore, it is very important to consider HGT in the study of molecular evolution of prokaryotes. This is true also for conducting computer simulations of their molecular phylogeny because HGT is known to be a serious disturbing factor for estimating their correct phylogeny. To the best of our knowledge, no existing computer program has generated a phylogenetic tree with HGT from an original phylogenetic tree. We developed a program called HGT-Gen that generates a phylogenetic tree with HGT on the basis of an original phylogenetic tree of a protein or gene. HGT-Gen converts an operational taxonomic unit or a clade from one place to another in a given phylogenetic tree. We have also devised an algorithm to compute the average length between any pair of branches in the tree. It defines and computes the relative evolutionary time to normalize evolutionary time for each lineage. The algorithm can generate an HGT between a pair of donor and acceptor lineages at the same evolutionary time. HGT-Gen is used with a sequence-generating program to evaluate the influence of HGT on the molecular phylogeny of prokaryotes in a computer simulation study. AVAILABILITY: The database is available for free at http://www.grl.shizuoka.ac.jp/˜thoriike/HGT-Gen.html.

Phylogenetic construction of 17 bacterial phyla by new method and carefully selected orthologs.

Here, we constructed a phylogenetic tree of 17 bacterial phyla covering eubacteria and archaea by using a new method and 102 carefully selected orthologs from their genomes. One of the serious disturbing factors in phylogeny construction is the existence of out-paralogs that cannot easily be found out and discarded. In our method, out-paralogs are detected and removed by constructing a phylogenetic tree of the genes in question and examining the clustered genes in the tree. We also developed a method for comparing two tree topologies or shapes, ComTree. Applying ComTree to the constructed tree we computed the relative number of orthologs that support a node of the tree. This number is called the Positive Ortholog Ratio (POR), which is conceptually and methodologically different from the frequently used bootstrap value. Our study concretely shows drawbacks of the bootstrap test. Our result of bacterial phylogeny analysis is consistent with previous ones showing that hyperthermophilic bacteria such as Thermotogae and Aquificae diverged earlier than the others in the eubacterial phylogeny studied. It is noted that our results are consistent whether thermophilic archaea or mesophilic archaea is employed for determining the root of the tree. The earliest divergence of hyperthermophilic eubacteria is supported by genes involved in fundamental metabolic processes such as glycolysis, nucleotide and amino acid syntheses.

Comprehensive analysis of the origin of eukaryotic genomes.

There is currently no consensus on the evolutionary origin of eukaryotes. In the search of the ancestors of eukaryotes, we analyzed the phylogeny of 46 genomes, including those of 2 eukaryotes, 8 archaea, and 36 eubacteria. To avoid the effects of gene duplications, we used inparalog pairs of genes with orthologous relationships. First, we grouped these inparalogs into the functional categories of the nucleus, cytoplasm, and mitochondria. Next, we counted the sister groups of eukaryotes in prokaryotic phyla and plotted them on a standard phylogenetic tree. Finally, we used Pearson's chi-square test to estimate the origin of the genomes from specific prokaryotic ancestors. The results suggest the eukaryotic nuclear genome descends from an archaea that was neither euryarchaeota nor crenarchaeota and that the mitochondrial genome descends from alpha-proteobacteria. In contrast, genes related to the cytoplasm do not appear to originate from a specific group of prokaryotes.

The origin of eukaryotes is suggested as the symbiosis of pyrococcus into gamma-proteobacteria by phylogenetic tree based on gene content.

Attempts were made to define the relationship among the three domains (eukaryotes, archaea, and eubacteria) using phylogenetic tree analyses of 16S rRNA sequences as well as of other protein sequences. Since the results are inconsistent, it is implied that the eukaryotic genome has a chimeric structure. In our previous studies, the origin of eukaryotes to be the symbiosis of archaea into eubacteria using the whole open reading frames (ORF) of many genomes was suggested. In these studies, the species participating in the symbiosis were not clarified, and the effect of gene duplication after speciation (in-paralog) was not addressed. To avoid the influence of the in-paralog, we developed a new method to calculate orthologous ORFs. Furthermore, we separated eukaryotic in-paralogs into three groups by sequence similarity to archaea, eubacteria (other than alpha-proteobacteria), and alpha-proteobacteria and treated them as individual organisms. The relationship between the three ORF groups and the functional classification was clarified by this analysis. The introduction of this new method into the phylogenetic tree analysis of 66 organisms (4 eukaryotes, 13 archaea, and 49 eubacteria) based on gene content suggests the symbiosis of pyrococcus into gamma-proteobacteria as the origin of eukaryotes.

[Estimation of daily intake of phenols in hospital meal samples].

Daily intakes of 12 phenols which are possible endocrine disruptors were estimated in hospital meals from 2000 to 2001. 4-Nonylphenol (4-NP (mix)) and bisphenol A (BPA) were detected at levels of 5.0 to 19.4 ng/g and 0.2 to 1.1 ng/g, respectively. 4-tert-Butylphenol, 4-n-pentylphenol, 4 -tert-pentylphenol, 4-n-hexylphenol, 4-n-heptylphenol and 4-tert-octylphenol were detected at levels of 0.1 to 2.4 microg/g. The daily intakes of 4-NP (mix) and BPA were 5.8 microg/day and 0.42 microg/day, respectively. The daily intakes of other phenols were less than 1 microg/day.