Molecular evolution of connective tissue growth factor in Cyprinidae (Teleostei : Cypriniformes)

Connective tissue growth factor (CTGF) plays an important role in regulation of cell growth, differentiation, apoptosis and individual development in animals. The study of sequences variation and molecular evolution of CTGF gene across various species of the cyprinid could be helpful for understanding of speciation and gene divergence in this kind of fish. In this study, 19 novel sequences of CTGF gene were obtained from the representative species of the family Cyprinidae using PCR amplification, cloning and sequencing. Phylogenetic relationships of Cyprinidae were reconstructed by neighbor-joining (NJ), maximum parsimony (MP), maximum likelihood (ML) and Bayesian method. Oryzias latipes from the family Cyprinodontidae was assigned to be the outgroup taxon. Leuciscini and Barbini were clustered into the monophyletic lineages, respectively, with the high nodal supports. The estimation of the ratio of non-synonymous to synonymous substitution (dN/dS) for the various branches indicated that there stood the different evolution rates between the Leuciscini and the Barbini. With the ratio of dN/dS of the Leuciscini being lower than that of the Barbini, species within the Barbini were demonstrated to be subjected to the relatively less selection pressure and under the relaxable evolution background. A 6 by indel (insertion/deletion) was found at the 5' end of CTGF gene of Cyprinidae, and this 6 by deletion only appeared in the Leuciscini, which is a typical characteristic of the Leuciscini and provides evidence for the monophylogeny of the Leuciscini. For the amino acid sequences of CTGF protein, the most variations and indels were distributed in the signal region and IGFBP region of this protein, implying that these variations were correlated with the regulation of the CTGF gene expression and protein activity. (c) 2007 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.

The complete mitochondrial genome of the helmet catfish Cranoglanis bouderius (Silurifonnes : Cranoglanididae) and the phylogeny of otophysan fishes

The complete sequence of the 16,539 nucleotide mitochondrial genome from the single species of the catfish family Cranoglanididae, the helmet catfish Cranoglanis bouderius, was determined using the long and accurate polymerase chain reaction (LA PCR) method. The nucleotide sequences of C. bouderius mitochondrial DNA have been compared with those of three other catfish species in the same order. The contents of the C. bouderius mitochondrial genome are 13 protein-coding genes, two ribosomal RNA and 22 transfer RNA genes, and a non-coding control region, the gene order of which is identical to that observed in most other vertebrates. Phylogenetic analyses for 13 otophysan fishes were performed using Bayesian method based on the concatenated mtDNA protein-coding gene sequence and the individual protein-coding gene sequence data set. The competing otophysan topologies were then tested by using the approximately unbiased test, the Kishino-Hasegawa test, and the Shimodaira-Hasegawa test. The results show that the grouping ((((Characifonnes, Gymnotiformes), Siluriformes), Cyprinifionnes), outgroup) is the most likely but there is no significant difference between this one and the other alternative hypotheses. In addition, the phylogenetic placement of the family Cranoglanididae among siluriform families was also discussed. (c) 2006 Elsevier B.V. All rights reserved.

Bayesian inference of population expansions in domestic bovines

< p > The past population dynamics of four domestic and one wild species of bovine were estimated using Bayesian skyline plots, a coalescent Markov chain Monte Carlo method that does not require an assumed parametric model of demographic history. Four dom

A markov chain Monte Carlo method for estimating population mixing using Y-chromosome markers: Mixing of the Han people in China

We present a new approach for estimating mixing between populations based on non-recombining markers, specifically Y-chromosome microsatellites. A Markov chain Monte Carlo (MCMC) Bayesian statistical approach is used to calculate the posterior probability