Population divergence in plant species reflects latitudinal biodiversity gradients

The trend for increasing biodiversity from the poles to the tropics is one of the best-known patterns in nature. This latitudinal biodiversity gradient has primarily been documented so far with extant species as the measure of biodiversity. Here, we evaluate the global pattern in biodiversity across latitudes based on the magnitude of genetic population divergence within plant species, using a robust spatial design to compare published allozyme datasets. Like the pattern of plant species richness across latitudes, we expected the divergence among populations of current plant species would have a similar pattern and direction. We found that lower latitudinal populations showed greater genetic differentiation within species after controlling for geographical distance. Our analyses are consistent with previous population-level studies in animals, suggesting a high possibility of tropical peaks in speciation rates associated with observed levels of species richness.     

Outlier Detection using Projection Quantile Regression for Mass Spectrometry Data with Low Replication

ABSTRACT: BACKGROUND: Mass spectrometry (MS) data are often generated from various biological or chemical experiments and there may exist outlying observations, which are extreme due to technical reasons. The determination of outlying observations is important in the analysis of replicated MS data because elaborate pre-processing is essential for successful analysis with reliable results and manual outlier detection as one of pre-processing steps is time-consuming. The heterogeneity of variability and low replication are often obstacles to successful analysis, including outlier detection. Existing approaches, which assume constant variability, can generate many false positives (outliers) and/or false negatives non-outliers). Thus, a more powerful and accurate approach is needed to account for the heterogeneity of variability and low replication. FINDINGS: We proposed an outlier detection algorithm using projection and quantile regression in MS data from multiple experiments. The performance of the algorithm and program was demonstrated by using both simulated and real-life data. The projection approach with linear, nonlinear, or nonparametric quantile regression was appropriate in heterogeneous high-throughput data with low replication. CONCLUSION: Various quantile regression approaches combined with projection were proposed for detecting outliers. The choice among linear, nonlinear, and nonparametric regressions is dependent on the degree of heterogeneity of the data. The proposed approach was illustrated with MS data with two or more replicates.     

Clinical evaluation of micro-scale chip-based PCR system for rapid detection of hepatitis B virus

The polymerase chain reaction (PCR) is widely used to amplify a small amount of DNA in samples for genetic analysis. Rapid and accurate amplification is prerequisite for broad applications including molecular diagnostics of diseases, food safety, and biological warfare tests. We have developed a rapid real-time micro-scale chip-based PCR system, which consists of six individual thermal cycling modules capable of independent control of PCR protocols. The PCR volume is 1 microl and it takes less than 20 min to complete 40 thermal cycles. To test utility of a chip-based PCR system as a molecular diagnostic device, we have conducted the first large-scale clinical evaluation study. Three independent clinical evaluation studies (n = 563) for screening the hepatitis B virus (HBV) infection, the most popular social epidemic disease in Asia, showed an excellent sensitivity, e.g. 94%, and specificity, e.g. 93%, demonstrating micro-scale chip-based PCR can be applied in molecular diagnostics.     

DNA barcode-based molecular identification system for fish species

In this study, we applied DNA barcoding to identify species using short DNA sequence analysis. We examined the utility of DNA barcoding by identifying 53 Korean freshwater fish species, 233 other freshwater fish species, and 1339 saltwater fish species. We successfully developed a web-based molecular identification system for fish (MISF) using a profile hidden Markov model. MISF facilitates efficient and reliable species identification, overcoming the limitations of conventional taxonomic approaches. MISF is freely accessible at .     

Genetic diversity and population structure of the Korean field mouse(Apodumus peninsulae) in South Korea: from 17 previously and newly developed microsatellite markers

To provide more reliable genetic information on species and minimize experimental errors, biologists increase the number of genetic markers available and then carefully select optimal markers from a large candidate pool. We developed nine novel microsatellite markers from the Korean field mouse (Apodemus peninsulae), which is one of the most dominant forest animals in South Korea. The mean observed and expected heterozygosities across nine markers were 0.65 and 0.73, respectively, with an average polymorphic information content of 0.70. Using 17 microsatellite markers (nine polymorphic markers in this study, in combination with eight previously reported for the species), we conducted genetic analysis on the animals from six sampling locations. These locations are divided into the eastern (EAST) and the western (WEST) sides of the Taebaek mountain ranges in South Korea. Genetic diversity was high at both groups, with the mean expected heterozygosity of 0.77 in EAST and 0.78 in WEST. However, we did not observe strong evidence of genetic divergence between two groups. Future genetic research with more samples incorporating ecological study may clarify population structure in the species and the hypothesis of the mountains discontinuity of gene flow.