Pervasive migration of organellar DNA to the nucleus in plants

A surprisingly large number of plant nuclear DNA sequences inferred to be remnants of chloroplast and mitochondrial DNA migration events were detected through computer-assisted database searches. Nineteen independent organellar DNA insertions, with a median size of 117 by (range of 38 to >785 bp), occur in the proximity of 15 nuclear genes. One fragment appears to have been passed through a RNA intermediate, based on the presence of an edited version of the mitochondrial gene in the nucleus. Tandemly arranged fragments from disparate regions of organellar genomes and from different organellar genomes indicate that the fragments joined together from an intracellular pool of RNA and/or DNA before they integrated into the nuclear genome. Comparisons of integrated sequences to genes lacking the insertions, as well as the occurrence of coligated fragments, support a model of random integration by end joining. All transferred sequences were found in noncoding regions, but the positioning of organellar-derived DNA in introns, as well as regions 5 and 3 to nuclear genes, suggests that the random integration of organellar DNA has the potential to influence gene expression patterns. A semiquantitative estimate was performed on the amount of organellar DNA being transferred and assimilated into the nucleus. Based on this database survey, we estimate that 3–7% of the plant nuclear genomic sequence files contain organellar-derived DNA. The timing and the magnitude of genetic flux to the nuclear genome suggest that random integration is a substantial and ongoing process for creating sequence variation.Correspondence to: J.L. Blanchard     

Isolation of bacteria able to grow on both polyethylene glycol (PEG) and polypropylene glycol (PPG) and their PEG/PPG dehydrogenases

Two bacterial consortia growing on a random copolymer of ethylene glycol and propylene glycol units were obtained by enrichment cultures from various microbial samples. Six major strains included in both consortia were purified and identified as Sphingomonads, Pseudomonas sp. and Stenotrophomonas maltophilia. Three of them (Sphingobium sp. strain EK-1, Sphingopyxis macrogoltabida strain EY-1, and Pseudomonas sp. strain PE-2) utilized both PEG and polypropylene glycol (PPG) as a sole carbon source. Four PEG-utilizing bacteria had PEG dehydrogenase (PEG-DH) activity, which was induced by PEG. PCR products from DNA of these bacteria generated with primers designed from a PEG-DH gene (AB196775 for S. macrogoltabida strain 103) indicated the presence of a sequence that is the homologous to the PEG-DH gene (99% identity). On the other hand, five PPG-utilizing bacteria had PPG dehydrogenase (PPG-DH) activity, but the activity was constitutive. PCR of a PPG-DH gene was performed using primers designed from a polyvinyl alcohol dehydrogenase (PVA-DH) gene (AB190288 for Sphingomonas sp. strain 113P3) because a PPG-DH gene has not been cloned yet, but both PPG-DH and PVA-DH were active toward PPG and PVA (Mamoto et al. 2006). PCR products of the five strains did not have similarity to each other or to oxidoreductases including PVA-DH. The paper was edited by a native speaker through American Journal Experts (http://www.journalexperts.com).     

随机配对法在亚高山草甸优势种群格局分析中的应用

随机配对法是植物种群格局分析的主要方法之一,理论上讲它是最好的方法,因为他改进了等级方差法的所有缺点.但该方法还没有在我国研究实践中应用过.本文将随机配对法应用于芦芽山亚高山草甸群落优势种群的格局研究.结果较好地反映了种群的空间特征.该方法分辨力较强,可以揭示各种格局规模.     

Effects of climate change on the distribution of Iberian tree species

Question: Will the predicted climate changes affect species distribution in the Iberian Peninsula? Location: Iberian Peninsula (Spain and Portugal). Methods: We modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learning technique, the random forest (RF) algorithm. This algorithm provided good predictions of the current distribution of each species, as shown by the area under the corresponding receiver operating characteristics (ROC) curves. Species turnover, richness and the change in distributions over time to 2080 under four Intergovernmental panel on climate change (IPCC) scenarios were calculated using the species map outputs. Results and Conclusions: The results show a notable reduction in the potential distribution of the studied species under all the IPCC scenarios, particularly so for mountain conifer species such as Pinus sylvestris, P. uncinata and Abies alba. Temperate species, especially Fagus sylvatica and Quercus petraea, were also predicted to suffer a reduction in their range; also sub‐mediterranean species, especially Q. pyrenaica, were predicted to undergo notable decline. In contrast, typically Mediterranean species appeared to be generally more capable of migration, and are therefore likely to be less affected.     

Reducing mutational bias in random protein libraries

The success of protein optimization through directed molecular evolution depends to a large extent on the size and quality of the displayed library. Current low-fidelity DNA polymerases that are commonly used during random mutagenesis and recombination in vitro display strong mutational preferences, favoring the substitution of certain nucleotides over others. The result is a biased and reduced functional diversity in the library under selection. In an effort to reduce mutational bias, we combined two different low-fidelity DNA polymerases, Taq and Mutazyme, which have opposite mutational spectra. As a first step, random mutants of the Bacillus thuringiensis cry9Ca1 gene were generated by separate error-prone polymerase chain reactions (PCRs) with each of the two polymerases. Subsequent shuffling by staggered extension process (StEP) of the PCR products resulted in intermediate numbers of AT and GC substitutions, compared to the Taq or Mutazyme error-prone PCR libraries. This strategy should allow generating unbiased libraries or libraries with a specific degree of mutational bias by applying optimal mutagenesis frequencies during error-prone PCR and controlling the concentration of template in the shuffling reaction while taking into account the GC content of the target gene.     

The extension reached by the minimization of the polarity distances during the evolution of the genetic code

Summary The level reached by the optimization of the polarity distances during the evolution of the genetic code was investigated. The results, although not conclusive, indicate that this optimization level is higher than the data reported in the literature. The results seem compatible with the reaching of an evolutionary minimum, with respect to the optimization of the polarity distances, by the genetic code during its formation.     

Vascular response in a non-uterine site to implantation-stage embryos following interspecies transfers between the rat,mouse, and guinea-pig

Summary Pre-implantation-stage embryos from rats, mice, and guinea-pigs were transferred to a non-uterine site — the anterior chamber of the eye — of female recipients. All 9 combinations of transfers were performed: 3 allogeneic (intraspecies) transfers as controls, and 6 xenogeneic (interspecies) transfers. Implantation, as judged by extravasation from blood vessels of the iris or ciliary body occurred with success rates of 90.4% per transfer in the control rat group, 76.9% in the control mouse group, and 81.8% in the control guinea-pig group. Significantly reduced implantation rates occurred in the rat to guinea-pig (0%), mouse to rat (46.9%), mouse to guinea-pig (6.7%), and guinea-pig to rat (0%) groups compared to controls. Reductions, although not significant, also occurred in the other 2 groups: rat to mouse (77.8%), and guinea-pig to mouse (44.4%). These results together with some ultrastructural and lightmicroscopical observations suggest a degree of species specificity involved in the vascular response to the implanting embryo. We propose that the peri-implantation embryo produces a signal(s) which is to some extent species specific and which in the normal allogeneic situation is responsible for the early vascular effects seen at implantation in most eutherian mammals.     

利用RAPD标记和单株树大配子体构建马尾松的分子标记连锁图谱

利用300个随机的寡核苷酸引物和马尾松(Pinus massoniana Lamb.)种子的胚乳(大配子体)产生的随机扩增多态性DNA(RAPD)分子标记,进行马尾松标记连锁图谱的构建。经筛选共获得64个稳定的RAPD标记,利用多点连锁分析,其中的48个标记分属于13个不同的连锁群(连锁对),该图谱覆盖的基因组总长度约为692.5cM(centimorgan),标记间平均距离约为14.7cM,它为马尾松连锁图谱的构建提供了一个连锁框架。     

Additive mixed effect model for clustered failure time data

We propose an additive mixed effect model to analyze clustered failure time data. The proposed model assumes an additive structure and includes a random effect as an additional component. Our model imitates the commonly used mixed effect models in repeated measurement analysis but under the context of hazards regression; our model can also be considered as a parallel development of the gamma-frailty model in additive model structures. We develop estimating equations for parameter estimation and propose a way of assessing the distribution of the latent random effect in the presence of large clusters. We establish the asymptotic properties of the proposed estimator. The small sample performance of our method is demonstrated via a large number of simulation studies. Finally, we apply the proposed model to analyze data from a diabetic study and a treatment trial for congestive heart failure.