Molecular characterization of a heat inducible rice gene,OsHSP1, and implications for rice thermotolerance

Higher plants have acquired complex molecular mechanisms to withstand heat stress through years of natural evolutionary processes. Although physiological responses to elevated temperatures have been well studied, thermotolerance mechanisms at the molecular level are poorly understood in rice plants. In order to identify the genes involved in the thermotolerance of rice, we used a publicly available microarray dataset and identified a number of heat stress-responsive genes. Herein, we report details of the rice gene OsHSP1, which is upregulated by heat stress. In addition, OsHSP1 is highly expressed when exposed to salt and osmotic treatments but not cold treatment. Sequence analysis indicated that OsHSP1 belongs to the heat shock protein 90 family of genes. The biological function of OsHSP1 was investigated by heterologous overexpression in Arabidopsis. Transgenic Arabidopsis overexpressing the OsHSP1 gene exhibited enhanced thermotolerance but was hypersensitive under salt and osmotic stresses. Subcellular localization analysis indicated that the OsHSP1 protein is predominantly targeted to the cytosol and nucleus under heat stress. The coexpression network showed 39 interactions for the functionally interacting genes of OsHSP1. Taken together, these findings suggest that OsHSP1 is a heat-inducible gene that may play an important role in the thermotolerance of rice.     

Subspecies and units for conservation and management of the northern bobwhite in the eastern United States

The northern bobwhite (Colinus virginianus) is a small game bird with sedentary lifestyle and has experienced population declines throughout most of its native distribution in the eastern United States. We investigated intraspecific genetic relationships among 14 local populations covering four putative subspecies (C. v. marilandicus, C. v. virginianus, C. v. mexicanus, and C. v. floridanus) in the United States. Analysis of mitochondrial DNA sequences revealed a small, but significant, genetic structure of northern bobwhite populations or subspecies in the eastern US. However, our results did not support current subspecies limits as distinct evolutionarily significant units, based on the amount of population genetic divergences and insufficient lineage sorting of mtDNA haplotypes among subspecies. Instead, our results suggest that C. v. virginianus, C. v. marilandicus, and C. v. mexicanus be merged into a single management unit, and C. v. floridanus be considered as another distinct unit for conservation and management.     

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.     

Effects of topography on dispersal of black-billed magpie Pica pica sericea revealed by population genetic analysis

This study was conducted using random amplified polymorphic DNA analysis to examine whether the effects of topographical structure on the dispersal of black-billed magpie Pica pica sericea are reflected in its population genetic structure. The black-billed magpie is typically seen in the lowlands and is remarkably sedentary in Korea and Japan. The unweighted pair-group method of clustering analysis showed two main clusters: five populations in the western region of the Bekdudegan mountains (WRBM) in one cluster and five populations in the eastern region of the Bekdudegan mountains (ERBM), including the Japanese population in the other cluster. The populations in WRBM appeared to be diverged from the populations in ERBM. Analysis of molecular variance revealed that the populations in ERBM were more genetically divergent from each other than were those in WRBM. The high-rising mountains, very rugged topographical features and the sea in ERBM may have resulted in a lower dispersal rate and larger genetic variation among populations in ERBM compared to those in WRBM. These results suggest that the topographical structure may have an influence on the dispersal and population genetic structure of the black-billed magpie. Electronic Publication     

A computational approach for the classification of protein tyrosine kinases

Protein tyrosine kinases (PTKs) play a central role in the modulation of a wide variety of cellular events such as differentiation, proliferation and metabolism, and their unregulated activation can lead to various diseases including cancer and diabetes. PTKs represent a diverse family of proteins including both receptor tyrosine kinases (RTKs) and non-receptor tyrosine kinases (NRTKs). Due to the diversity and important cellular roles of PTKs, accurate classification methods are required to better understand and differentiate different PTKs. In addition, PTKs have become important targets for drugs, providing a further need to develop novel methods to accurately classify this set of important biological molecules. Here, we introduce a novel statistical model for the classification of PTKs that is based on their structural features. The approach allows for both the recognition of PTKs and the classification of RTKs into their subfamilies. This novel approach had an overall accuracy of 98.5% for the identification of PTKs, and 99.3% for the classification of RTKs.