Vertical distribution of bacterial community is associated with the degree of soil organic matter decomposition in the active layer of moist acidic tundra

The increasing temperature in Arctic tundra deepens the active layer, which is the upper layer of permafrost soil that experiences repeated thawing and freezing. The increasing of soil temperature and the deepening of active layer seem to affect soil microbial communities. Therefore, information on soil microbial communities at various soil depths is essential to understand their potential responses to climate change in the active layer soil. We investigated the community structure of soil bacteria in the active layer from moist acidic tundra in Council, Alaska. We also interpreted their relationship with some relevant soil physicochemical characteristics along soil depth with a fine scale (5 cm depth interval). The bacterial community structure was found to change along soil depth. The relative abundances of Acidobacteria, Gammaproteobacteria, Planctomycetes, and candidate phylum WPS-2 rapidly decreased with soil depth, while those of Bacteroidetes, Chloroflexi, Gemmatimonadetes, and candidate AD3 rapidly increased. A structural shift was also found in the soil bacterial communities around 20 cm depth, where two organic (upper Oi and lower Oa) horizons are subdivided. The quality and the decomposition degree of organic matter might have influenced the bacterial community structure. Besides the organic matter quality, the vertical distribution of bacterial communities was also found to be related to soil pH and total phosphorus content. This study showed the vertical change of bacterial community in the active layer with a fine scale resolution and the possible influence of the quality of soil organic matter on shaping bacterial community structure.     

Distribution of the Ussur Brown Katydid,Paratlanticus ussuriensis,in South Korea

This study was conducted to monitor the abundance and distribution of the ussur brown katydid, Paratlanticus ussuriensis in South Korea, and to gather basic information about potential outbreak areas of this species. P. ussuriensis samples were collected from April to July in 2009 and 2010 using the transect method at the city or gun level. P. ussuriensis were identified in 86 cities or guns, and eight guns were determined to be potential risk areas of P. ussuriensis outbreaks. The current distribution of P. ussuriensis is well matched with the distribution of broadleaf trees. Their distribution and population density are expected to increase due to the expanding distribution of Quercus spp., the major food source of P. ussuriensis.     

Aspect-oriented development of cluster computing software

In complex software systems, modularity and readability tend to be degraded owing to inseparable interactions between concerns that are distinct features in a program. Such interactions result in tangled code that is hard to develop and maintain. Aspect-Oriented Programming (AOP) is a powerful method for modularizing source code and for decoupling cross-cutting concerns. A decade of growing research on AOP has brought the paradigm into many exciting areas. However, pioneering work on AOP has not flourished enough to enrich the design of distributed systems using the refined AOP paradigm. This article investigates three case studies that cover time-honored issues such as fault-tolerant computing, network heterogeneity, and object replication in the cluster computing community using the AOP paradigm. The aspects that we define here are simple, intuitive, and reusable. Our intensive experiences show that (i) AOP can improve the modularity of cluster computing software by separating the source code into base and instrumented parts, and (ii) AOP helps developers to deploy additional features to legacy cluster computing software without harming code modularity and system performance.     

A novel light‐dependent selection marker system in plants

Photosensitizers are common in nature and play diverse roles as defense compounds and pathogenicity determinants and as important molecules in many biological processes. Toxoflavin, a photosensitizer produced by Burkholderia glumae, has been implicated as an essential virulence factor causing bacterial rice grain rot. Toxoflavin produces superoxide and H₂O₂ during redox cycles under oxygen and light, and these reactive oxygen species cause phytotoxic effects. To utilize toxoflavin as a selection agent in plant transformation, we identified a gene, tflA, which encodes a toxoflavin‐degrading enzyme in the Paenibacillus polymyxa JH2 strain. TflA was estimated as 24.56 kDa in size based on the amino acid sequence and is similar to a ring‐cleavage extradiol dioxygenase in the Exiguobacterium sp. 255‐15; however, unlike other extradiol dioxygenases, Mn²⁺and dithiothreitol were required for toxoflavin degradation by TflA. Here, our results suggested toxoflavin is a photosensitizer and its degradation by TflA serves as a light‐dependent selection marker system in diverse plant species. We examined the efficiencies of two different plant selection systems, toxoflavin/tflA and hygromycin/hygromycin phosphotransferase (hpt) in both rice and Arabidopsis. The toxoflavin/tflA selection was more remarkable than hygromycin/hpt selection in the high‐density screening of transgenic Arabidopsis seeds. Based on these results, we propose the toxoflavin/tflA selection system, which is based on the degradation of the photosensitizer, provides a new robust nonantibiotic selection marker system for diverse plants.     

Identifying differentially expressed genes in meta-analysis via Bayesian model-based clustering

A Bayesian model-based clustering approach is proposed for identifying differentially expressed genes in meta-analysis. A Bayesian hierarchical model is used as a scientific tool for combining information from different studies, and a mixture prior is used to separate differentially expressed genes from non-differentially expressed genes. Posterior estimation of the parameters and missing observations are done by using a simple Markov chain Monte Carlo method. From the estimated mixture model, useful measure of significance of a test such as the Bayesian false discovery rate (FDR), the local FDR (Efron et al., 2001), and the integration-driven discovery rate (IDR; Choi et al., 2003) can be easily computed. The model-based approach is also compared with commonly used permutation methods, and it is shown that the model-based approach is superior to the permutation methods when there are excessive under-expressed genes compared to over-expressed genes or vice versa. The proposed method is applied to four publicly available prostate cancer gene expression data sets and simulated data sets.     

FTIR study of the L intermediate of Anabaena sensory rhodopsin: structural changes in the cytoplasmic region

Anabaena sensory rhodopsin (ASR) is an archaeal-type rhodopsin found in eubacteria. The gene encoding ASR forms a single operon with ASRT (ASR transducer) that is a 14 kDa soluble protein, suggesting that ASR functions as a photochromic sensor by activating the soluble transducer. One of the characteristics of ASR is that the formation of the M intermediate accompanies a proton transfer from the Schiff base to Asp217 in the cytoplasmic side [Shi, L., Yoon, S. R., Bezerra, A. G., Jr., Jung, K. H., and Brown, L. S. (2006) J. Mol. Biol. 358, 686-700], in remarkable contrast to other archaeal-type rhodopsins such as a light-driven proton-pump, bacteriorhodopsin (BR). In this study, we applied low-temperature Fourier transform infrared (FTIR) spectroscopy to the all- trans form of ASR at 170 K, and compared the structural changes in the L intermediate with those of BR. The ASR L minus ASR difference spectra were essentially similar to those for BR, suggesting common structures for the L state in ASR and BR. On the other hand, unique CO stretching bands of a protonated carboxylic acid were observed at 1722 (+) and 1703 (-) cm (-1) at pH 5 and 7, and assigned to Glu36 by use of mutants. Glu36 is located at the cytoplasmic side, and the distance from the Schiff base is about 20 A. This result shows the structural changes at the cytoplasmic surface in ASR L. pH-dependent frequency change was also observed for a water stretching vibration, suggesting that the water molecule is involved in a hydrogen-bonding network with Glu36 and Asp217. Unique hydrogen-bonding network in the cytoplasmic domain of ASR will be discussed.