Metarhizium robertsii Produces an Extracellular Invertase (MrINV) That Plays a Pivotal Role in Rhizospheric Interactions and Root Colonization

As well as killing pest insects, the rhizosphere competent insect-pathogenic fungus Metarhizium robertsii also boosts plant growth by providing nitrogenous nutrients and increasing resistance to plant pathogens. Plant roots secrete abundant nutrients but little is known about their utilization by Metarhizium spp. and the mechanistic basis of Metarhizium-plant associations. We report here that M. robertsii produces an extracellular invertase (MrInv) on plant roots. Deletion of MrInv (⊿MrInv) reduced M. robertsii growth on sucrose and rhizospheric exudates but increased colonization of Panicum virgatum and Arabidopsis thaliana roots. This could be accounted for by a reduction in carbon catabolite repression in ⊿MrInv increasing production of plant cell wall-degrading depolymerases. A non-rhizosphere competent scarab beetle specialist Metarhizium majus lacks invertase which suggests that rhizospheric competence may be related to the sugar metabolism of different Metarhizium species.     

Quantitative Förster resonance energy transfer analysis for kinetic determinations of SUMO-specific protease

Förster resonance energy transfer (FRET) technology has been widely used in biological and biomedical research, and it is a very powerful tool for elucidating protein interactions in either dynamic or steady state. SUMOylation (the process of SUMO [small ubiquitin-like modifier] conjugation to substrates) is an important posttranslational protein modification with critical roles in multiple biological processes. Conjugating SUMO to substrates requires an enzymatic cascade. Sentrin/SUMO-specific proteases (SENPs) act as an endopeptidase to process the pre-SUMO or as an isopeptidase to deconjugate SUMO from its substrate. To fully understand the roles of SENPs in the SUMOylation cycle, it is critical to understand their kinetics. Here, we report a novel development of a quantitative FRET-based protease assay for SENP1 kinetic parameter determination. The assay is based on the quantitative analysis of the FRET signal from the total fluorescent signal at acceptor emission wavelength, which consists of three components: donor (CyPet–SUMO1) emission, acceptor (YPet) emission, and FRET signal during the digestion process. Subsequently, we developed novel theoretical and experimental procedures to determine the kinetic parameters, k_cat, K_M, and catalytic efficiency (k_cat/K_M) of catalytic domain SENP1 toward pre-SUMO1. Importantly, the general principles of this quantitative FRET-based protease kinetic determination can be applied to other proteases.     

Near-infrared time-resolved optical absorption studies of the reaction of fully reduced cytochrome c oxidase with dioxygen

Electron transfer during the reaction of fully reduced bovine heart cytochrome oxidase with dioxygen has been studied at 24 degrees C in the near-infrared region following photolysis of the fully reduced CO-bound complex. The transient spectral changes and kinetics were followed on microsecond to millisecond time scales at nine different wavelengths between 597 and 935 nm and were analyzed using singular value decomposition and global exponential fitting. Four apparent lifetimes, 14 micros, 40 micros, 86 micros, and 1.1 ms, were resolved. The near-infrared spectra of the intermediates are extracted on the basis of a previously proposed mechanism [Sucheta et al. (1998) Biochemistry 37, 17905-17914] and compared to model spectra of the postulated intermediates. The data provide a comprehensive picture of the spectral contributions of the different redox centers in their respective oxidation or ligation states in the near-infrared region and strongly support that Cu(A) is partially (2/3), but not fully, oxidized in the 3-electron-reduced ferryl intermediate.     

Indoor Thin‐Film Photovoltaics: Progress and Challenges

Energy generation and consumption have always been an important component of social development. Interests in this field are beginning to shift to indoor photovoltaics (IPV) which can serve as power sources under low light conditions to meet the energy needs of rapidly growing fields, such as intelligence gathering and information processing which usually operate via the Internet‐of‐things (IoT). Since the power requirements for this purpose continue to decrease, IPV systems under low light may facilitate the realization of self‐powered high‐tech electronic devices connected through the IoT. This review discusses and compares the characteristics of different types of IPV devices such as those based on silicon, dye, III‐V semiconductors, organic compounds, and halide perovskites. Among them, specific attention is paid to perovskite photovoltaics which may potentially become a high performing IPV system due to the fascinating photophysics of the halide perovskite active layer. The limitations of such indoor application as they relate to the toxicity, stability, and electronic structure of halide perovskites are also discussed. Finally, strategies which could produce highly functional, nontoxic, and stable perovskite photovoltaics devices for indoor applications are proposed.     

Microbial diversity in deep-sea sediment from the cobalt-rich crust deposit region in the Pacific Ocean

Cobalt-rich crusts are important metallic mineral resources with great economic potential, usually distributed on seamounts located in the Pacific Ocean. Microorganisms are believed to play a role in the formation of crusts as well as in metal cycling. To explore the microbial diversity related to cobalt-rich crusts, 16S ribosomal RNA gene clone libraries were constructed from three consecutive sediment layers. In total, 417 bacterial clones were obtained from three bacterial clone libraries, representing 17 distinct phylogenetic groups. Proteobacteria dominated in the bacterial communities, followed by Acidobacteria and Planctomycetes. Compared with high bacterial diversity, archaea showed a remarkably low diversity, with all 137 clones belonging to marine archaeal group I except one novel euryarchaeotal clone. The microbial communities were potentially involved in sulfur, nitrogen and metal cycling in the area of cobalt-rich crusts. Sulfur oxidation and metal oxidation were potentially major sources of energy for this ecosystem. This is the first reported investigation of microbial diversity in sediments associated with cobalt-rich crusts, and it casts fresh light on the microbial ecology of these important ecosystems.     

Species composition and diversity of soil animals in the oil shale dump in Maoming, Guangdong Province, China

Pollution from the oil shale dump in Maoming, Guangdong Province, China, was a major social problem due to the great amount of environmental damage it caused. Therefore, a great deal of attention needed to be paid for the ecological restoration and reconstruction. The objective of this study was to investigate the species composition of soil fauna and its diversity in oil shale dumps after the application of different ecological restoration schemes in order to understand the impact they had on ecological restoration. Three plots were selected on an oil shale dump near the city of Maoming. The “north plot” was a newly-planted young forest mixed with various tree species, while the “south plot” was a 20-year-old Acacia auriculaeformis forest, and the “control plot” was a 20-year-old naturally-recovering grassland. Soil animals, mainly including macro-meso groups, were collected by hand-sorting and Tullgren funnel extraction. They were then identified to family or genus level with only a small portion to order (e.g. Chllopoda) or species (e.g. Isopoda) level. The specimens obtained in the present study was 11164 individuals, belonging to 27 orders and 110 families or genera. The Shannon index (H′), DG_s (based on species) and DG_g (based on groups) were used to analyze the diversity of soil animals between different plots. The major results were as follows: A total of 33 families or genera belonging to nine orders were found in the “north plot”. The main group was Caritermes, accounting for 63.4% of the total, followed by Tetramorium with 21.3%. Hymenoptera, mainly Formicidae, had more genera than others, accounting for 80% of the total genera in this group. The diversity of soil animals in this plot was very low because the H′ index was only 1.2, while the DG_s index was 4.0 and the DG_g index was 1.3. A total of 61 families or genera belonging to 23 orders were found in the “south plot”. Malmcoangelia and Tetramorium were the main groups, which accounted for 60.3% and 10.2%, respectively. Two genera of Annelda and two genera of Isopoda only accounted for 2.6% and 1.9%, respectively, but they were considered to be major groups due to their large body sizes and the distinct characteristics of their habitat. Acarina had a greater number of individuals and families or genera with its individual number accounting for 67.5% of the total, and the number of families or genera of this group account for 70% in this plot. The diversity indexes (H′, DG_s and DG_g) in this plot were significantly higher than those in the “north plot”, and were 1.65, 16.7 and 7.75, respectively. In the “control plot”, there were 67 families or genera of soil animals belonging to 23 orders. The main groups were Tetramorium (20%), Lasius (17.1%), Bothriomymex of Formicidae (13.8%), and Malmcoangelia of oribatid mites (14.5%). Formicidae of Hymenoptera was the group with the maximum number of individuals, accounting for 51.0%, while Diplopoda had the most families or genera. The H′ and DG_s indexes, being 2.54 and 17.7, were higher than those in the “south plot”, while the DG_g index of 7.20 was lower than that in the “south plot”. The results showed that the species composition and diversity indexes were higher in the “south plot” than in the “north plot” and the “control plot”, which demonstrated that using Acacia auriculaeformis forest to restore the oil shale dump was an effective approach in terms of soil biodiversity.     

A case study of a shared/buy-in computing ecosystem

Many research institutions are deploying computing clusters based on a shared/buy-in paradigm. Such clusters combine shared computers, which are free to be used by all users, and buy-in computers, which are computers purchased by users for semi-exclusive use. The purpose of this paper is to characterize the typical behavior and performance of a shared/buy-in computing cluster, using data traces from the Shared Computing Cluster (SCC) at Boston University that runs under this paradigm as a case study. Among our main findings, we show that the semi-exclusive policy, which allows any SCC user to use idle buy-in resources for a limited time, increases the utilization of buy-in resources by 17.4%, thus significantly improving the performance of the system as a whole. We find that jobs allowed to run on idle buy-in resources arrive more frequently and run for a shorter time than other jobs. Finally, we identify the run time limit (i.e., the maximum time during which a job is allowed to use resources) and the type of parallel environment as two factors that have a significant impact on the different performance experienced by shared and buy-in jobs.