Parental genome composition and genetic classifications of derivatives from intergeneric crosses of Festuca mairei and Lolium perenne

Intergeneric hybridization between Festuca and Lolium has been a long-term goal of forage and turfgrass breeders to generate improved cultivars by combining stress tolerance of Festuca and rapid establishment of Lolium. However, wide-distance hybridizations usually result in the wild genome being eliminated from the hybrid due to incomplete chromosome pairing and crossovers. In this study, random amplified polymorphic DNA (RAPD) and simple sequence repeat (SSR) markers were used to detect the parental genome composition of F₁ hybrids and backcross, generated from crosses between Festuca mairei St. Yves (Fm) and Lolium perenne L. (Lp). Each of the hybrids exhibited integration of Fm and Lp genomes with varying levels of Fm/Lp genome ratios. However, cluster and principle component analyses of the progeny consistently revealed four groups depending on the amount of genome introgression from both parents. The parental genome composition and classifications of intergeneric progeny would be useful for breeding material selection. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Generation of the O630 photointermediate of bacteriorhodopsin is controlled by the state of protonation of several protein residues

The last stages of the photocycle of the photosynthetic pigment all-trans bacteriorhodopsin (bR570), as well as its proton pump mechanism, are markedly pH dependent. We have measured the relative amount of the accumulated O630 intermediate (Phir), as well as its rise and decay rate constants (kr and kd, respectively), over a wide pH range. The experiments were carried out in deionized membrane suspensions to which varying concentrations of metal cations and of large organic cations were added. The observed pH dependencies, s-shaped curves in the case of Phir and bell-shaped curves for kr and kd, are interpreted in terms of the titration of three protein residues denoted as R1, R2, and R3. The R1 titration is responsible for the increase in Phir, kr, and kd upon lowering the pH from pH approximately 9.5 to 7. At low pH Phir exhibits a secondary rise which is attributed to the titration of a low pKa group, R2. After reaching a maximum at pH approximately 7, kr and kd undergo a decrease upon decreasing the pH, which is attributed to the titration of R3. All three titrations exhibit pKa values which decrease upon increasing the salt concentration. As in the case of the Purple (bR570) if Blue (bR605) equilibrium, divalent cations are substantially more effective than monovalent cations in shifting the pKa values. Moreover, bulky organic cations are as effective as small metal cations. It is concluded that analogously to the Purple if Blue equilibrium, the salt binding sites which control the pKa values of R1, R2, and R3 are located on, or close to, the membrane surface. Possible identifications of the three protein residues are considered. Experiments with the E204Q mutant show that the mutation has markedly affected the R2 (Phir) titration, suggesting that R2 should be identified with Glu-204 or with a group whose pKa is affected by Glu-204. The relation between the R1, R2 and R3 titrations and the proton pump mechanism is discussed. It is evident that the pH dependence of Phir is unrelated to the measured pKa of the group (XH) which releases the proton to the extracellular medium during the photocycle. However, since the same residue may exhibit different pKa values at different stages of the photocycle, it cannot be excluded that R2 or R3 may be identified with XH.     

BRCA1-mediated signaling pathways in ovarian carcinogenesis

The link between loss or defect in functional BRCA1 and predisposition for development of ovarian and breast cancer is well established. Germ-line mutations in BRCA1 are responsible for both hereditary breast and ovarian cancer, which is around 5–10% for all breast and 10–15% of all ovarian cancer cases. However, majority of cases of ovarian cancer are sporadic in nature. The inactivation of cellular BRCA1 due to mutations or loss of heterozygosity is one of the most commonly observed events in such cases. Complement-resistant retroviral BRCA1 vector, MFG-BRCA1, is the only approved gene therapy for ovarian cancer patients by the Federal and Drug Administration. Given the limited available information, there is a need to evaluate the effects of BRCA1 on the global gene expression pattern for better understanding the etiology of the disease. Here, we use Ingenuity Pathway Knowledge Base to examine the differential pattern of global gene expression due to stable expression of BRCA1 in the ovarian cancer cell line, SKOV3. The functional analysis detected at least five major pathways that were significantly (p < 0.05) altered. These include: cell to cell signaling and interaction, cellular function and maintenance, cellular growth and proliferation, cell cycle and DNA replication, and recombination repair. In addition, we were able to detect several biologically relevant genes that are central for various signaling networks involved in cellular homeostasis; TGF-β1, TP53, c-MYC, NF-κB and TNF-α. This report provides a comprehensive rationale for tumor suppressor function(s) of BRCA1 in ovarian carcinogenesis.     

Disentangling the role of soil in structuring tropical tree communities at Tarap Hill Reserve of Bangladesh

Tarap Hill Reserve, the largest upland reserve of Bangladesh, is situated along the Indo-Burma Biodiversity Hotspot. It encompasses the last remaining patches of natural vegetation in the Northeastern Tarap Mountain System and harbors 87 % of the nationally declared red-listed vascular plant species. Despite requiring high conservation priority, this is one of the least studied reserves in the tropics. In this study, we collected vegetation and soil (eight variables) data from 68 sample plots. We identified the tree communities by cluster analysis and verified them using the multi-response permutation procedure and detrended correspondence analysis. Species richness, diversity, and compositional similarity between the communities were also estimated. In total, 116 tree species representing 69 genera were recorded within the four identified tree community types. Finally, canonical correspondence analysis with associated Monte Carlo permutation tests (499 permutations) was performed to explore the patterns of variation in tree species distribution explained by the soil variables. Soil phosphorus, organic matter content, and pH were most closely correlated with tree compositional variation. Thus, conservation strategies that take into account variations in these influential soil factors may aid in the conservation of trees in the reserve.     

Effect of dietary fish oil on platelet aggregability: comparison between two oils with different eicosapentaenoic to arachidonic acid ratio.

Rats, acclimatized on a control diet, were fed for 60 days with diets, supplemented with 10% fat of either marine Hilsa fish (Hilsa ilisa) or fresh-water Chital fish (Notopterus chitala). The percentage of eicosapentaenoic acid in chital oil diet was 0.57 times that of the hilsa oil diet, but the eicosapentaenoic to arachidonic acid ratio in the latter (4.08) was 3.2 times that of the former (1.27). Otherwise these two diets were comparable in respect to total saturated, monounsaturated and n-3 polyunsaturated fatty acid contents. Results showed that of the two only hilsa oil diet could significantly lower platelet aggregability and in vitro thromboxane production, through replacement of arachidonic acid in platelet phospholipid by eicosapentaenoic acid. The antithrombic criteria of the oil seems to be a combination of low arachidonic acid content and high eicosapentaenoic to arachidonic acid ratio.     

Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs

Background

Annotations that describe the function of sequences are enormously important to researchers during laboratory investigations and when making computational inferences. However, there has been little investigation into the data quality of sequence function annotations. Here we have developed a new method of estimating the error rate of curated sequence annotations, and applied this to the Gene Ontology (GO) sequence database (GOSeqLite). This method involved artificially adding errors to sequence annotations at known rates, and used regression to model the impact on the precision of annotations based on BLAST matched sequences.

Results

We estimated the error rate of curated GO sequence annotations in the GOSeqLite database (March 2006) at between 28% and 30%. Annotations made without use of sequence similarity based methods (non-ISS) had an estimated error rate of between 13% and 18%. Annotations made with the use of sequence similarity methodology (ISS) had an estimated error rate of 49%.

Conclusion

While the overall error rate is reasonably low, it would be prudent to treat all ISS annotations with caution. Electronic annotators that use ISS annotations as the basis of predictions are likely to have higher false prediction rates, and for this reason designers of these systems should consider avoiding ISS annotations where possible. Electronic annotators that use ISS annotations to make predictions should be viewed sceptically. We recommend that curators thoroughly review ISS annotations before accepting them as valid. Overall, users of curated sequence annotations from the GO database should feel assured that they are using a comparatively high quality source of information.     

ROCS: A reproducibility index and confidence score for interaction proteomics

ABSTRACT: BACKGROUND: Affinity-Purification Mass-Spectrometry (AP-MS) provides a powerful means of identifyingprotein complexes and interactions. Several important challenges exist in interpreting theresults of AP-MS experiments. First, the reproducibility of AP-MS experimental replicatescan be low, due both to technical variability and the dynamic nature of protein interactions inthe cell. Second, the identification of true protein-protein interactions in AP-MS experimentsis subject to inaccuracy due to high false negative and false positive rates. Severalexperimental approaches can be used to mitigate these drawbacks, including the use ofreplicated and control experiments and relative quantification to sensitively distinguish trueinteracting proteins from false ones. RESULTS: To address the issues of reproducibility and accuracy of protein-protein interactions, weintroduce a two-step method, called ROCS, which makes use of Indicator Proteins to selectreproducible AP-MS experiments, and of Confidence Scores to select specific protein-proteininteractions. The Indicator Proteins account for measures of protein identification as well asprotein reproducibility, effectively allowing removal of outlier experiments that contributenoise and affect downstream inferences. The filtered set of experiments is then used in theProtein-Protein Interaction (PPI) scoring step. Prey protein scoring is done by computing aConfidence Score, which accounts for the probability of occurrence of prey proteins in thebait experiments relative to the control experiment, where the significance cutoff parameter isestimated by simultaneously controlling false positives and false negatives against metrics offalse discovery rate and biological coherence respectively. In summary, the ROCS methodrelies on automatic objective criterions for parameter estimation and error-controlledprocedures. We illustrate the performance of our method by applying it to five previously published AP-MS experiments, each containing well characterized protein interactions,allowing for systematic benchmarking of ROCS. We show that our method may be used onits own to make accurate identification of specific, biologically relevant protein-proteininteractions or in combination with other AP-MS scoring methods to significantly improveinferences. CONCLUSIONS: Our method addresses important issues encountered in AP-MS datasets, making ROCS a verypromising tool for this purpose, either on its own or especially in conjunction with othermethods. We anticipate that our methodology may be used more generally in proteomicsstudies and databases, where experimental reproducibility issues arise. The method isimplemented in the R language, and is available as an R package called "ROCS", freelyavailable from the CRAN repository http://cran.r-project.org/.     

Antioxidant effect of vegetable oils containing conjugated linolenic acid isomers against induced tissue lipid peroxidation and inflammation in rat model

The purpose of the present study was to examine the antioxidant activity of two typical oils obtained from two vegetables, bitter gourd seed and snake gourd seed, containing two different isomers of conjugated linolenic acid (CLnA) against oxidative stress induced by sodium arsenite in relation to tissue lipid peroxidation and inflammation. Male albino rats were taken as subject and divided into six groups: Group 1 was control and Group 2 was treated with sodium arsenite (Sa; 10mg/Kg BW); Groups 3-6 were orally treated with different doses of seed oils maintaining definite concentration of CLnA isomers (0.5% and 1.0% of total lipid for each CLnA isomer) along with sodium arsenite. There was significant increase in lipid peroxidation, pro-oxidant enzyme activity and decrease in antioxidant enzyme activity in brain due to Sa administration. Decrease in total protein content was also observed in plasma, liver and brain of Sa treated group. Significant decrease in phospholipid content and increase in total lipid content and cholesterol content were observed in arsenite treated group. There was significant increase in relative organ weight of liver due to Sa administration. Fatty acid profile of liver and brain lipid shows significant (P<0.05) reduction in most of the polyunsaturated fatty acids and increase in arachidonic acid (20:4n-6) (75.23%) due to inflammation after arsenite treatment. Administration of experimental oils made almost complete restoration of those altered parameters. Overall, these two oils were effective in protecting tissue lipid profiles which were altered due to oxidative stress.