Five new species of coccidia (Apicomplexa: Eimeriidae) from Madagascan chameleons (Sauria: Chamaeleonidae)

Coprological examination of 19 Madagascan chameleons of the genera Furcifer and Brookesia revealed the presence of five new coccidian species. Isospora brygooi n. sp. from Furcifer pardalis has spherical to subspherical oöcysts with a slightly pitted wall, 20.7 (17–24.5) × 19.3 (16–23) m and broadly ellipsoidal sporocysts, 12.2 (11.5–13) × 8.1 (8–8.5) m, with Stieda and substieda bodies. Oöcysts of Eimeria glawi n. sp. from Furcifer pardalis are cylindrical to ellipsoidal, 27.7 (26–29.5) × 18.4 (17–19) m, with ellipsoidal sporocysts, 7.3 (6.5–8) × 5.2 (5–5.5) m. E. vencesi n. sp. described from F. pardalis has spherical to subspherical oöcysts, 14.3 (13–15.5) × 13.0 (12–13) m, with small granules, one to three globular polar granules and ellipsoidal sporocysts, 7.3 (6.5–8) × 5.2 (5–5.5) m. E. worthi n. sp., described from Furcifer oustaleti has spherical oöcysts, 17.9 (17.5–19.0) × 15.0 (14.5–16.0) m without a polar granule and ellipsoidal to cylindroidal sporocysts, 8.2 (7.0–9.5) × 5.8 (5.0–6.5) m. Oöcysts of E. brookesiae n. sp. from Brookesia decaryi are cylindrical, 25.6 (23–27) × 15.0 (13–16) m with ellipsoidal sporocysts, 10.1 (9–11) × 6.9 (6–7) m. Endogenous development of E. vencesi is confined to the intestine, while that of E. glawi occurs in the gall-bladder.     

The expression level of anthocyanidin synthase determines the anthocyanin content of crabapple (<Emphasis Type="Italic">Malus</Emphasis> sp.) petals

In addition to contributing to the coloration of plant organs and their defense against herbivores, the consumption of anthocyanins in the human diet has a number of health benefits. Crabapple (Malus sp.) represents a valuable experimental model system to research the mechanisms and regulation of anthocyanin accumulation, in part due to the often vivid and varied petal and leaf coloration that is exhibited by various cultivars. The enzyme anthocyanidin synthase (ANS) plays a pivotal role in anthocyanin biosynthesis; however, the relationship between ANS expression and petal pigmentation has yet to be established in crabapple. To illuminate the mechanism of anthocyanin accumulation in crabapple petals, we evaluated the expression of two crabapple ANS allelic genes (McANS-1 and McANS-2) and the levels of anthocyanins in petals from cultivars with dark red (‘Royalty’) and white (‘Flame’) petals, as well as another (‘Radiant’) whose petals have an intermediate pink color. We determined that the expression of McANS in the three cultivars correlated with the variation of anthocyanin accumulation during different petal developmental stages. Furthermore, transgenic tobacco plants constitutively overexpressing one of the two McANS genes, McANS-1, had showed elevated anthocyanin accumulation and a deeper red coloration in their petals than those from untransformed control lines. In conclusion, we propose that McANS are responsible for anthocyanin accumulation during petal coloration in different crabapple cultivars.     

Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy

In today’s scaled out systems, co-scheduling data analytics work with high priority user workloads is common as it utilizes better the vast hardware availability. User workloads are dominated by periodic patterns, with alternating periods of high and low utilization, creating promising conditions to schedule data analytics work during low activity periods. To this end, we show the effectiveness of machine learning models in accurately predicting user workload intensities, essentially by suggesting the most opportune time to co-schedule data analytics work. Yet, machine learning models cannot predict the effects of performance interference when co-scheduling is employed, as this constitutes a “new” observation. Specifically, in tiered storage systems, their hierarchical design makes performance interference even more complex, thus accurate performance prediction is more challenging. Here, we quantify the unknown performance effects of workload co-scheduling by enhancing machine learning models with queuing theory ones to develop a hybrid approach that can accurately predict performance and guide scheduling decisions in a tiered storage system. Using traces from commercial systems we illustrate that queuing theory and machine learning models can be used in synergy to surpass their respective weaknesses and deliver robust co-scheduling solutions that achieve high performance.     

Fine mapping of the rosy apple aphid resistance locus <Emphasis Type="Italic">Dp-fl</Emphasis> on linkage group 8 of the apple cultivar ‘Florina’

Rosy apple aphid (Dysaphis plantaginea), is one of the major insect pests of apple, causing serious physical and economic damage to fruit production. A dominant resistance gene Dp-fl was previously mapped at the bottom of linkage group LG8 from the cultivar ‘Florina’, linked to the SSR CH01h10. The development of additional genetic markers mapping closer to Dp-fl was needed to position the gene accurately and to improve the effectiveness of marker-assisted breeding (MAB). The aims of this study were to identify single nucleotide polymorphisms (SNPs) in the region of Dp-fl and to position these SNPs relative to Dp-fl. To generate a fine map of the Dp-fl interval, a total of 191 plants segregating for resistance and derived from four different populations were tested with temperature-switch PCR (TSP) markers developed for SNPs located in the region of CH01h10. All the plants were phenotypically evaluated for aphid resistance and those data compared with the genetic data. These efforts resulted in positioning the Dp-fl resistance locus in a genetic interval corresponding to a physical distance of about 330 kb on the ‘Golden Delicious’ genome. The new markers were tested on several apple founder cultivars in order to test the specificity of the SNPs and, thus, the best markers for the MAB were identified. Finally, the 330-kb interval was analyzed for the identification of coding sequences and putative candidate genes for D. plantaginea resistance were identified.     

Synthesis and Application of C2 and C3 Symmetric (R)‐Phenylglycinol‐Derived Chiral Stationary Phases

A C3 symmetric (R)‐phenylglycinol N‐1,3,5‐benzenetricarboxylic acid‐derived chiral stationary phase (CSP) and three C2 symmetric (R)‐phenylglycinol CSPs were newly synthesized using o‐, m‐, and p‐phthaloyl dichlorides. © 2016 Wiley Periodicals, Inc. These CSPs were used to compare the resolution of 25 chiral samples using a previously reported 3,5‐dinitrobenzoyl (R)‐phenylglycinol‐derived CSP. Even though all CSPs have the same chiral moiety, the C3 symmetric CSP showed the best resolution. Chirality 28:186–191, 2016.© 2016 Wiley Periodicals, Inc.     

Subgroup-Based Adaptive (SUBA) Designs for Multi-arm Biomarker Trials

Targeted therapies based on biomarker profiling are becoming a mainstream direction of cancer research and treatment. Depending on the expression of specific prognostic biomarkers, targeted therapies assign different cancer drugs to subgroups of patients even if they are diagnosed with the same type of cancer by traditional means, such as tumor location. For example, Herceptin is only indicated for the subgroup of patients with HER2+ breast cancer, but not other types of breast cancer. However, subgroups like HER2+ breast cancer with effective targeted therapies are rare, and most cancer drugs are still being applied to large patient populations that include many patients who might not respond or benefit. Also, the response to targeted agents in humans is usually unpredictable. To address these issues, we propose subgroup-based adaptive (SUBA), designs that simultaneously search for prognostic subgroups and allocate patients adaptively to the best subgroup-specific treatments throughout the course of the trial. The main features of SUBA include the continuous reclassification of patient subgroups based on a random partition model and the adaptive allocation of patients to the best treatment arm based on posterior predictive probabilities. We compare the SUBA design with three alternative designs including equal randomization, outcome-adaptive randomization, and a design based on a probit regression. In simulation studies, we find that SUBA compares favorably against the alternatives.     

Prognostic Significance of Tag SNP rs1045411 in HMGB1 of the Aggressive Gastric Cancer in a Chinese Population

Compelling evidences have suggested that high mobility group box-1 (HMGB1) gene plays a crucial role in cancer development and progression. This study aimed to evaluate the effects of single nucleotide polymorphisms (SNPs) in HMGB1 gene on the survival of gastric cancer (GC) patients. Three tag SNPs from HMGB1 gene were selected and genotyped using Sequenom iPEX genotyping system in a cohort of 1030 GC patients (704 in training set, 326 in validation set). Multivariate Cox proportional hazard model and Kaplan-Meier Curve were used for prognosis analysis. AG/AA genotypes of SNP rs1045411 in HMGB1 gene were significantly associated with better overall survival (OS) in a set of 704 GC patients when compared with GG genotypes (HR = 0.77, 95% CI: 0.60–0.97, P = 0.032). This prognostic effect was verified in an independent validation set and pooled analysis (HR = 0.80, 95% CI: 0.62–0.99, P = 0.046; HR = 0.78, 95% CI: 0.55–0.98, P = 0.043, respectively). In stratified analysis, the protective effect of rs1045411 AG/AA genotypes was more prominent in patients with adverse strata, compared with patients with favorable strata. Furthermore, strong joint predictive effects on OS of GC patients were noted between rs1045411 genotypes and Lauren classification, differentiation, stage or adjuvant chemotherapy. Additionally, functional assay indicated a significant effect of rs1045411 on HMGB1 expression. Our results suggest that rs1045411 in HMGB1 is significantly associated with clinical outcomes of Chinese GC patients after surgery, especially in those with aggressive status, which warrants further validation in other ethnic populations.