Zooplankton Productivity Evaluation of Lentic and Lotic Ecosystem

The present study reveals the correlation of zooplankton productivity of lotic and lentic water ecosystem. The biological rhythms are useful tool to determine the zooplankton production. Planktons enrich the trophic level of lentic and lotic ecosystems. The relationship of primary productivity of any aquatic ecosystem depends on the biological biodiversity. Estimation of zooloplankton productivity of any water system helps to analyse its richness of species as biological population which are sustainable in it by the adequate amount physicochemical parameters. It is observed in most of the water system the quality of physical, chemical and biological phenomena are depends directly or indirectly correlation to establish diverse life as suitable habitat. To identify the current problems on lentic and lotic water system correlation studies will be more helpful, it is need of hour to give more attention on limnology because most of the biodiversity polluted due to industrialisation and anthropology. To develop advanced monitoring tools to address it on time to time problems of water system as key indicators and to conservation strategies towards the sustainable developments

Generalized biomolecular modeling and design with RoseTTAFold All-Atom

Deep learning methods have revolutionized protein structure prediction and design but are currently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA) which combines a residue-based representation of amino acids and DNA bases with an atomic representation of all other groups to model assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications given their sequences and chemical structures. By fine tuning on denoising tasks we obtain RFdiffusionAA, which builds protein structures around small molecules. Starting from random distributions of amino acid residues surrounding target small molecules, we design and experimentally validate, through crystallography and binding measurements, proteins that bind the cardiac disease therapeutic digoxigenin, the enzymatic cofactor heme, and the light harvesting molecule bilin

Reptiles and Mammals Have Differentially Retained Long Conserved Noncoding Sequences from the Amniote Ancestor

Many noncoding regions of genomes appear to be essential to genome function. Conservation of large numbers of noncoding sequences has been reported repeatedly among mammals but not thus far among birds and reptiles. By searching genomes of chicken (Gallus gallus), zebra finch (Taeniopygia guttata), and green anole (Anolis carolinensis), we quantified the conservation among birds and reptiles and across amniotes of long, conserved noncoding sequences (LCNS), which we define as sequences ≥500 bp in length and exhibiting ≥95% similarity between species. We found 4,294 LCNS shared between chicken and zebra finch and 574 LCNS shared by the two birds and Anolis. The percent of genomes comprised by LCNS in the two birds (0.0024%) is notably higher than the percent in mammals (<0.0003% to <0.001%), differences that we show may be explained in part by differences in genome-wide substitution rates. We reconstruct a large number of LCNS for the amniote ancestor (ca. 8,630) and hypothesize differential loss and substantial turnover of these sites in descendent lineages. By contrast, we estimated a small role for recruitment of LCNS via acquisition of novel functions over time. Across amniotes, LCNS are significantly enriched with transcription factor binding sites for many developmental genes, and 2.9% of LCNS shared between the two birds show evidence of expression in brain expressed sequence tag databases. These results show that the rate of retention of LCNS from the amniote ancestor differs between mammals and Reptilia (including birds) and that this may reflect differing roles and constraints in gene regulation

Data Aggregation over Geographical Area Coverage in Wireless Adhoc and Sensor Networks

Wireless sensor networks has become envisage for various purpose in all the fields of technology. Random deployments are a fundamental crisis to realize coverage and/or connectivity in sensor networks. Path-Trace-Back protocol is proposed proficiently to preserve the data at specific geographic area coverage in a network with node mobility in nature. This scheme can turn out to be more difficult for isolated places in the area where only low density of sensor nodes exist. To tackle this problem, the path-trace-back scheme, initially permits a mobile node to periodically return the data to fixed location about the trail area coverage whose packets travel from the region of source and utilizes the reported trail to enhance the path revisited. Based on the optimality conditions, we devise the distance based and trail based approach for an explicit area using Path-trace -- back protocol that shows an enhancement of 80 percent against the distance based and Max Propagation protocol. The result obtained achieves higher performance when the region of coverage area is less connected