Kazuharu Misawa

Molecular systematics of Volvocales (Chlorophyceae, Chlorophyta) based on exhaustive 18S rRNA phylogenetic analyses

The taxonomy of Volvocales (Chlorophyceae, Chlorophyta) was traditionally based solely on morphological characteristics. However, because recent molecular phylogeny largely contradicts the traditional subordinal and familial classifications, no classification system has yet been established that describes the subdivision of Volvocales in a manner consistent with the phylogenetic relationships. Towards development of a natural classification system at and above the generic level, identification and sorting of hundreds of sequences based on subjective phylogenetic definitions is a significant step. We constructed an 18S rRNA gene phylogeny based on 449 volvocalean sequences collected using exhaustive BLAST searches of the GenBank database. Many chimeric sequences, which can cause fallacious phylogenetic trees, were detected and excluded during data collection. The results revealed 21 strongly supported primary clades within phylogenetically redefined Volvocales. Phylogenetic classification following PhyloCode was proposed based on the presented 18S rRNA gene phylogeny along with the results of previous combined 18S and 26S rRNA and chloroplast multigene analyses.

Phylogenetic positions of Glaucophyta, green plants (Archaeplastida) and Haptophyta (Chromalveolata) as deduced from slowly evolving nuclear genes

The phylogenetic positions of the primary photosynthetic eukaryotes, or Archaeplastida (green plants, red algae, and glaucophytes) and the secondary photosynthetic chromalveolates, Haptophyta, vary depending on the data matrices used in the previous nuclear multigene phylogenetic studies. Here, we deduced the phylogeny of three groups of Archaeplastida and Haptophyta on the basis of sequences of the multiple slowly evolving nuclear genes and reduced the gaps or missing data, especially in glaucophyte operational taxonomic units (OTUs). The present multigene phylogenetic analyses resolved that Haptophyta and two other groups of Chromalveolata, stramenopiles and Alveolata, form a monophyletic group that is sister to the green plants and that the glaucophytes and red algae are basal to the clade composed of green plants and Chromalveolata. The bootstrap values supporting these phylogenetic relationships increased with the exclusion of long-branched OTUs. The close relationship between green plants and Chromalveolata is further supported by the common replacement in two plastid-targeted genes.

Revisiting the Glires concept—phylogenetic analysis of nuclear sequences

The so-called Glires hypothesis postulates a sister-group relationship between Rodentia (e.g., rat and mouse) and Lagomorpha (e.g., rabbit). Recent molecular phylogenetic analyses have yielded incongruent results, and either supported or refuted the Glires grouping. In order to study this inconsistency we have reconstructed phylogenetic trees based on data sets of 20 orthologous nuclear protein coding genes (6441 aa, sites) and 12 mitochondrial protein coding genes (3559 aa sites). The size of the nuclear data set is considerably larger than any comparable data set hitherto used to study the Glires concept. Analysis of the nuclear data strongly supported the phylogenetic tree (frog, chicken, ((rat, mouse), (rabbit, (human, (cattle, dog))))), while the mt data could not conclusively resolve the position of rabbit relative to that of human. This result was supported by all methods. Thus, the Glires hypothesis was rejected by this study.

Reanalysis of Murphy et al.'s Data Gives Various Mammalian Phylogenies and Suggests Overcredibility of Bayesian Trees

Murphy and colleagues reported that the mammalian phylogeny was resolved by Bayesian phylogenetics. However, the DNA sequences they used had many alignment gaps and undetermined nucleotide sites. We therefore reanalyzed their data by minimizing unshared nucleotide sites and retaining as many species as possible (13 species). In constructing phylogenetic trees, we used the Bayesian, maximum likelihood (ML), maximum parsimony (MP), and neighbor-joining (NJ) methods with different substitution models. These trees were constructed by using both protein and DNA sequences. The results showed that the posterior probabilities for Bayesian trees were generally much higher than the bootstrap values for ML, MP, and NJ trees. Two different Bayesian topologies for the same set of species were sometimes supported by high posterior probabilities, implying that two different topologies can be judged to be correct by Bayesian phylogenetics. This suggests that the posterior probability in Bayesian analysis can be excessively high as an indication of statistical confidence and therefore Murphy et al.’s tree, which largely depends on Bayesian posterior probability, may not be correct.

Cyanobacterial contribution to the genomes of the plastid-lacking protists

BackgroundEukaryotic genes with cyanobacterial ancestry in plastid-lacking protists have been regarded as important evolutionary markers implicating the presence of plastids in the early evolution of eukaryotes. Although recent genomic surveys demonstrated the presence of cyanobacterial and algal ancestry genes in the genomes of plastid-lacking protists, comparative analyses on the origin and distribution of those genes are still limited.ResultsWe identified 12 gene families with cyanobacterial ancestry in the genomes of a taxonomically wide range of plastid-lacking eukaryotes (Phytophthora [Chromalveolata], Naegleria [Excavata], Dictyostelium [Amoebozoa], Saccharomyces and Monosiga [Opisthokonta]) using a novel phylogenetic pipeline. The eukaryotic gene clades with cyanobacterial ancestry were mostly composed of genes from bikonts (Archaeplastida, Chromalveolata, Rhizaria and Excavata). We failed to find genes with cyanobacterial ancestry in Saccharomyces and Dictyostelium, except for a photorespiratory enzyme conserved among fungi. Meanwhile, we found several Monosiga genes with cyanobacterial ancestry, which were unrelated to other Opisthokonta genes.ConclusionOur data demonstrate that a considerable number of genes with cyanobacterial ancestry have contributed to the genome composition of the plastid-lacking protists, especially bikonts. The origins of those genes might be due to lateral gene transfer events, or an ancient primary or secondary endosymbiosis before the diversification of bikonts. Our data also show that all genes identified in this study constitute multi-gene families with punctate distribution among eukaryotes, suggesting that the transferred genes could have survived through rounds of gene family expansion and differential reduction.

Genomic structure of nitric oxide synthase in the terrestrial slug is highly conserved

Nitric oxide (NO) is a key molecule in olfactory information processing across animal species. To gain insight into the genetic basis of NO generation, we investigated the genomic structure of nitric oxide synthase (NOS) in the terrestrial slug Limax because slugs use olfaction as their primary food detection system. The full length cDNA of limNOS encodes a protein consisting of 1632 amino acids that has a PSD-95/discs-large/ZO-1 (PDZ) domain in its N-terminus and 6 other cofactor-binding domains. The limNOS gene consists of 33 exons and spans at least 107 kb of the genome. Almost all the exon-intron boundaries are conserved in Limax and human nNOS and the organization of the Limax genome is more similar to that of humans than to Drosophila, indicating that there was an accelerated evolution of the Drosophila genome during evolution. These results imply that there was a highly conservative selective pressure imposed on NOS gene structure during the evolution of mollusks and vertebrates.

Origins of a cyanobacterial 6-phosphogluconate dehydrogenase in plastid-lacking eukaryotes

BackgroundPlastids have inherited their own genomes from a single cyanobacterial ancestor, but the majority of cyanobacterial genes, once retained in the ancestral plastid genome, have been lost or transferred into the eukaryotic host nuclear genome via endosymbiotic gene transfer. Although previous studies showed that cyanobacterial gnd genes, which encode 6-phosphogluconate dehydrogenase, are present in several plastid-lacking protists as well as primary and secondary plastid-containing phototrophic eukaryotes, the evolutionary paths of these genes remain elusive.ResultsHere we show an extended phylogenetic analysis including novel gnd gene sequences from Excavata and Glaucophyta. Our analysis demonstrated the patchy distribution of the excavate genes in the gnd gene phylogeny. The Diplonema gene was related to cytosol-type genes in red algae and Opisthokonta, while heterolobosean genes occupied basal phylogenetic positions with plastid-type red algal genes within the monophyletic eukaryotic group that is sister to cyanobacterial genes. Statistical tests based on exhaustive maximum likelihood analyses strongly rejected that heterolobosean gnd genes were derived from a secondary plastid of green lineage. In addition, the cyanobacterial gnd genes from phototrophic and phagotrophic species in Euglenida were robustly monophyletic with Stramenopiles, and this monophyletic clade was moderately separated from those of red algae. These data suggest that these secondary phototrophic groups might have acquired the cyanobacterial genes independently of secondary endosymbioses.ConclusionWe propose an evolutionary scenario in which plastid-lacking Excavata acquired cyanobacterial gnd genes via eukaryote-to-eukaryote lateral gene transfer or primary endosymbiotic gene transfer early in eukaryotic evolution, and then lost either their pre-existing or cyanobacterial gene.

Evaluation of the effect of CpG hypermutability on human codon substitution.

Understanding the cause underlying the changes in amino acid composition of proteins is essential for understanding protein evolution and function. Accurate models of DNA and protein evolution are essential for studying molecular evolution. Although many models have been developed, most models assume that each site evolves independently and that substitutions are time reversible. In mammals and other organisms, CpG hypermutability is one of the major causes of nucleotide mutations because CpG dinucleotides are often methylated at C, and the methyl-C mutation spontaneously deaminates to yield T about 3 times more rapidly than other types of point mutations. In this study, we evaluate the effect of CpG hypermutability on codon substitution by comparing thousands of coding regions in the human and chimpanzee genomes and by inferring ancestral sequences by using mouse as the outgroup. We found that 14% of synonymous and nonsynonymous substitutions on human genes were caused by CpG hypermutability. Based on these results, we developed a model that incorporates CpG hypermutability as well as the transition/transversion ratio and changes in the chemical properties of amino acids.

The Universal Trend of Amino Acid Gain–Loss is Caused by CpG Hypermutability

Understanding the cause of the changes in the amino acid composition of proteins is essential for understanding the evolution of protein functions. Since the early 1970s, it has been known that the frequency of some amino acids in protein sequences is increasing and that of others is decreasing. Recently, it was found that the trends of amino acid changes were similar in 15 taxa representing Bacteria, Archaea, and Eukaryota. However, the cause of this similarity in the trend of the gains and losses of amino acids continued to be debated. Here, we show that this trend of the gain and loss of amino acids can be simply explained by CpG hypermutability. We found that the frequency of amino acids coded by codons with TpG dinucleotides and those with CpA dinucleotides is increasing, while that of amino acids coded by codons with CpG dinucleotides is decreasing. We also found that organisms that lack DNA methyltransferase show different trends of the gain and loss of amino acids. DNA methyltransferase methylates CpG dinucleotides and induces CpG hypermutability. The incorporation of CpG hypermutability into models of protein evolution will improve studies on protein evolution in different organisms.

Relationship between amino acid composition and gene expression in the mouse genome

BackgroundCodon bias is a phenomenon that refers to the differences in the frequencies of synonymous codons among different genes. In many organisms, natural selection is considered to be a cause of codon bias because codon usage in highly expressed genes is biased toward optimal codons. Methods have previously been developed to predict the expression level of genes from their nucleotide sequences, which is based on the observation that synonymous codon usage shows an overall bias toward a few codons called major codons. However, the relationship between codon bias and gene expression level, as proposed by the translation-selection model, is less evident in mammals.FindingsWe investigated the correlations between the expression levels of 1,182 mouse genes and amino acid composition, as well as between gene expression and codon preference. We found that a weak but significant correlation exists between gene expression levels and amino acid composition in mouse. In total, less than 10% of variation of expression levels is explained by amino acid components. We found the effect of codon preference on gene expression was weaker than the effect of amino acid composition, because no significant correlations were observed with respect to codon preference.ConclusionThese results suggest that it is difficult to predict expression level from amino acid components or from codon bias in mouse.