Identification of a system required for the functional surface localization of sugar binding proteins with class III signal peptides in Sulfolobus solfataricus

The hyperthermophilic archaeon Sulfolobus solfataricus contains an unusual large number of sugar binding proteins that are synthesized as precursors with a class III signal peptide. Such signal peptides are commonly used to direct archaeal flagellin subunits or bacterial (pseudo)pilins into extracellular macromolecular surface appendages. Likewise, S. solfataricus binding proteins have been suggested to assemble in higher ordered surface structures as well, tentatively termed the bindosome. Here we show that S. solfataricus contains a specific system that is needed for the functional surface localization of sugar binding proteins. This system, encoded by the bas (bindosome assembly system) operon, is composed of five proteins: basABC, three homologues of so-called bacterial (pseudo)pilins; BasE, a cytoplasmic ATPase; and BasF, an integral membrane protein. Deletion of either the three (pseudo)pilin genes or the basEF genes resulted in a severe defect of the cells to grow on substrates which are transported by sugar binding proteins containing class III signal peptides, while growth on glucose and maltose was restored when the corresponding genes were reintroduced in these cells. Concomitantly, ΔbasABC and ΔbasEF cells were severely impaired in glucose uptake even though the sugar binding proteins were normally secreted across the cytoplasmic membrane. These data underline the hypothesis that the bas operon is involved in the functional localization of sugar binding proteins at the cell surface of S. solfataricus. In contrast to surface structure assembly systems of Gram-negative bacteria, the bas operon seems to resemble an ancestral simplified form of these machineries.

Prediction of cardiovascular disease using least absolute shrinkage and selection operator algorithm

Cardiovascular diseases are among the foremost common serious diseases’ poignant human health. Disorder is also prevented or relieved by early diagnosis, and this might scale back mortality rates. Distinctive risk factors mistreatment machine learning models may be a promising approach. The model that comes with totally different strategies to realize effective prediction of heart disease. For this planned model to be successful, economical information collection, information Pre-processing and information Transformation methods to form correct info for the coaching model. The model has a combined dataset. Appropriate options are hand-picked by using the Relief and LASSO techniques. New hybrid classifiers like Random Forest based Machine Learning are developed by group action the normal classifiers with fabric and boosting methods, that are employed in the coaching process. Some machine learning algorithms to calculate the accuracy, sensitivity, error rate, precision. The results are shown singly to supply comparisons. Supported the result analysis will conclude that our planned model created the very best accuracy whereas mistreatment RFBM and Relief feature choice method

Highly efficient multipurpose graphene oxide embedded with copper oxide nanohybrid for electrochemical sensors and biomedical applications

A novel graphene oxide/copper oxide (GO@CuO) nanocomposite (NCS) was successfully synthesized via hydrothermal method. The NCS was characterized by XRD, SEM, TEM and BET surface area analysis. The NCS modified electrode was applied to detect the dopamine (DA) and paracetamol. The voltammograms obtained during the oxidation studies revealed that the as-synthesized GO@CuO NCS sensor shows a highly senstive catalytic activity. The oxidation peak potential (Epa) of DA at the bare carbon paste electrode (BCPE) and modified carbon paste electrode (MCPE) were observed at 0.1115 V and 0.1127 V, respectively. This electrode exhibits good and satisfactory results in the determination of DA in a commercial injection. In addition, the NCSs show enhanced antimicrobial and anticancer activities thanks to the combined effect of GO and CuO

Trait Combinations That Improve Rice Yield under Drought: Sahbhagi Dhan and New Drought-Tolerant Varieties in South Asia

Drought is one of the most severe constraints reducing rice (Oryza sativa L.) yield in rainfed environments. ‘Sahbhagi Dhan’ (IR74371-70- 1-1) is a drought-tolerant rice variety that was released in India in 2010—and subsequently in Nepal as ‘Sukha Dhan 3’ and in Bangladesh as ‘BRRI Dhan 56’—and has performed well in rainfed farmers’ fields. This study was conducted to understand the physiological drought response characteristics of Sahbhagi Dhan that contribute to its increased yield under drought. Physiological characterization of Sahbhagi Dhan and other newer breeding lines was conducted across multiple seasons at one site in the Philippines and at four sites in India. Several distinct traits of Sahbhagi Dhan were observed: high emergence rates under direct-seeded germination- stage stress, a high proportion of total root length as lateral roots in some seasons, high harvest index under drought, and high yield stability across wet seasons. However, some unfavorable responses of Sahbhagi Dhan were observed: impaired growth when sown during seasons with early-stage cold temperatures or low solar radiation, resulting in relatively low yield stability across dry seasons. These results point to the importance of combining multiple traits for yield stability across drought-prone environments. Some of the newly developed breeding lines showed even greater yield stability than Sahbhagi Dhan, reflecting the effectiveness of ongoing improvement through direct selection for grain yield under drought that has resulted in advantageous combinations of physiological traits to increase yield in farmers’ fields

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Not AvailableDRR Dhan 55 [IET 26194(RP 5591 - 123 - 16 - 2)], an aerobic rice variety developed from MTU1010/ IR79915 - B - 83 - 4 - 3 cross combination. It was evaluated in AICRIP multi - location aerobic rice trials during wet seasons of 2016 to 2019. DRR Dhan 55 consistently out - performed the check varieties in Eastern Zone (Zone III) and Central Zone (Zone V) with a mean grain yield 4974 kg/ha, which is 15%, 19% and 18 % higher than National check, Zonal and Local checks, respectively. In addition, it exhibited moderate resistance to Leaf blast and Neck blast; and also resistance to gall midge and rice thrips; and moderate resistance to plant hoppers. DRR Dhan 55 has medium duration of 120 - 130 days (seed to seed) and possess desirable grain and cooking quality parameters. It was released for cultivation in aerobic ecosystems of Bihar (Zone III) and Chhattisgarh (Zone V) states through Central Sub - committee on Crop Standards, Notification and Release of Varieties for Agricultural Crops vide S.O. 500(E) dt. 29th Jan 2021[CG - DL - E - 03022021 - 224901]Not Availabl