Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects.

Solving the supply-demand imbalance is the most crucial issue for stable implementation of a public bike-sharing system. This gap can be reduced by increasing the accuracy of demand prediction by considering spatial and temporal properties of bike demand. However, only a few attempts have been made to account for both features simultaneously. Therefore, we propose a prediction framework based on graph convolutional networks. Our framework reflects not only spatial dependencies among stations, but also various temporal patterns over different periods. Additionally, we consider the influence of global variables, such as weather and weekday/weekend to reflect non-station-level changes. We compare our framework to other baseline models using the data from Seoul's bike-sharing system. Results show that our approach has better performance than existing prediction models.

Sensitive and specific detection of phaseolotoxigenic and nontoxigenic strains of Pseudomonas syringae pv. phaseolicola by TaqMan real-time PCR using site-specific recombinase gene sequences.

Pseudomonas syringae pv. phaseolicola, the causative agent of halo blight, is the most important bacterial pathogen of bean. Both nontoxigenic (Tox(-)) and toxigenic (Tox+) strains of this pathogen cause halo blight in beans. However, nontoxigenic strains cannot be detected by currently available molecular and serological tools. In this study, a TaqMan probe and primer set were designed based on the phage integrase family site-specific recombinase of P. s. pv. phaseolicola 1448A because it is known that most site-specific recombinases are structurally and functionally diverse. The specificity of the probe and primers was evaluated using purified DNA from 29 isolates of 3 different pathovars of P. syringae. The probe and primer set were able to detect Tox(-) and Tox+ isolates of P. s. pv. Phaseolicola, but no other phytopathogenic bacteria. The assay was also able to detect at least 5 genome equivalents of cloned amplified target DNA, using purified DNA, or 7 colony forming unit (CFU) per reaction when using calibrated cell suspensions. Thus, the TaqMan real-time PCR-based method can be used for the rapid detection of both types of P. s. pv. Phaseolicola, and will potentially simplify and facilitate the diagnosis and monitoring of this pathogen, and guide plant disease management.

Development and characterization of new microsatellite markers for the oyster mushroom (Pleurotus ostreatus).

We developed and characterized 36 polymorphic microsatellite markers for the oyster mushroom (Pleurotus ostreatus). In total, 169 alleles were identified with an average of 4.7 alleles per locus. Values for observed (HO) and expected (HE) heterozygosities ranged from 0.027 to 0.946 and from 0.027 to 0.810, respectively. Nineteen loci deviated from Hardy-Weinberg equilibrium. Significant (P<0.05) excess heterozygosity was observed at nine loci. Linkage disequilibrium (LD) was significant (P<0.05) between pairs of locus alleles. Cluster analysis revealed that five species of genus Pleurotus made a distinct group, and the individual cultivars were grouped into major five groups from G-1 to G-5. The diverse cultivars of P. ostreatus were discriminated and the other four species revealed a different section in the UPGMA tree. These microsatellite markers proved to be very useful tools for genetic studies, including assessment of the diversity and population structure of P. ostreatus.

Development of SSR markers for studies of diversity in the genus Fagopyrum.

The numbers of SSR markers and their utilization have not been determined and investigated as extensively in Fagopyrum species as compared to other crop species. The current report presents 136 new SSR markers in Fagopyrum esculentum ssp. esculentum and their application to related species in the genus Fagopyrum. Of the 136 SSRs, 10 polymorphic SSR markers were utilized in a genetic diversity analysis of a common buckwheat population consisting of 41 accessions of diverse origin. The study showed observed (H(O)) and expected (H(E)) heterozygosities ranging from 0.071 to 0.924 (mean = 0.53) and from 0.073 to 0.902 (mean = 0.412), respectively. Forty-one of the 136 SSRs amplified sequences in other Fagopyrum species, including the cymosum and urophyllum groups. The phylogenetic relationships revealed using the SSRs was consistent with results obtained using other marker systems, with one exception. The sequence and diversity information obtained using these new SSRs and their cross-transferability to related Fagopyrum species will increase our understanding of genetic structures and species relationships within the Fagopyrum genus.

PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets.

MOTIVATION: Core sets are necessary to ensure that access to useful alleles or characteristics retained in genebanks is guaranteed. We have successfully developed a computational tool named 'PowerCore' that aims to support the development of core sets by reducing the redundancy of useful alleles and thus enhancing their richness. RESULTS: The program, using a new approach completely different from any other previous methodologies, selects entries of core sets by the advanced M (maximization) strategy implemented through a modified heuristic algorithm. The developed core set has been validated to retain all characteristics for qualitative traits and all classes for quantitative ones. PowerCore effectively selected the accessions with higher diversity representing the entire coverage of variables and gave a 100% reproducible list of entries whenever repeated. AVAILABILITY: PowerCore software uses the .NET Framework Version 1.1 environment which is freely available for the MS Windows platform. The files can be downloaded from http://genebank.rda.go.kr/powercore/. The distribution of the package includes executable programs, sample data and a user manual.

Qualitative and quantitative PCR methods for detection of three lines of genetically modified potatoes.

Qualitative and quantitative polymerase chain reaction (PCR) methods have been developed for the detection of genetically modified (GM) potatoes. The combination of specific primers for amplification of the promoter region of Cry3A gene, potato leafroll virus replicase gene, and potato virus Y coat protein gene allows to identify each line of NewLeaf, NewLeaf Y, and NewLeaf Plus GM potatoes. Multiplex PCR method was also established for the simple and rapid detection of the three lines of GM potato in a mixture sample. For further quantitative detection, the realtime PCR method has been developed. This method features the use of a standard plasmid as a reference molecule. Standard plasmid contains both a specific region of the transgene Cry3A and an endogenous UDP-glucose pyrophosphorylase gene of the potato. The test samples containing 0.5, 1, 3, and 5% GM potatoes were quantified by this method. At the 3.0% level of each line of GM potato, the relative standard deviations ranged from 6.0 to 19.6%. This result shows that the above PCR methods are applicable to detect GM potatoes quantitatively as well as qualitatively.