Research Article A new Informatics Framework for Evaluating the Codon Usage Metrics, Evolutionary Models and Phylogeographic reconstruction of Tomato yellow leaf curl virus (TYLCV) in different regions of Asian countries

Tomato yellow leaf curl virus (TYLCV) is a major devastating viral disease, majorly affecting the tomato production globally. The disease is majorly transmitted by the Whitefly. The Begomovirus (TYLCV) having a six major protein coding genes, among them the C1/AC1 is evidently associated with viral replication. Owing to immense role of C1/AC1 gene, the present study is an initial effort to elucidate the factors shaping the codon usage bias and evolutionary pattern of TYLCV-C1/AC1 gene in five major Asian countries. Based on publically available nucleotide sequence data the Codon usage pattern, Evolutionary and Phylogeographic reconstruction was carried out. The study revealed the presence of significant variation between the codon bias indices in all the selected regions. Implying that the codon usage pattern indices (eNC, CAI, RCDI, GRAVY, Aromo) are seriously affected by selection and mutational pressure, taking a supremacy in shaping the codon usage bias of viral gene. Further, the tMRCA age was 1853, 1939, 1855, 1944, 1828 for China, India, Iran, Oman and South Korea, respectively for TYLCV-C1/AC1 gene. The integrated analysis of Codon usage bias, Evolutionary rate and Phylogeography analysis in viruses signifies the positive role of selection and mutational pressure among the selected regions for TYLCV (C1/AC1) gene

FORAGING BEHAVIOR AND INTERACTIONS OF WHITE-HEADED BABBLERS TURDOIDES-AFFINIS WITH OTHER SPECIES

Volume: 79Start Page: 503End Page: 51

Brain tumor segmentation using UNet-few shot schematic segmentation

Early finding and determination of a proper therapy technique will build the endurance of people with cancer. A key step in the diagnosis and treatment of brain tumors is accurate and reliable segmentation. Given its uneven shape and opaque borders, gliomas are among the most difficult brain cancers to detect. Because of significant differences in their design, programmed division of glioma brain growths is a fluid topic. Improved UNet-based designs for the automatic segmentation of brain tumors from MRI images are reported in this article. Training semantic division models requires an enormous measure of finely clarified information, making it challenging to quickly acclimatize to unfamiliar classes that don’t meet this requirement. The original Few Shot Segmentation attempts to address this issue but has other flaws. Hence in this paper a generalized Few-Shot Schematic Segmentation is discussed to break down the speculation capacity of at the same time sectioning the original classifications with the base classes and adequate models. A Context-Aware Prototype Learning (CAPL) which is used for improving the performance by utilizing the co-occurrence of earlier information from help tests and progressively enhancing logical data to the classifier, molded on the substance of each question picture. Results reveal the outperformance of the developed model

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Not AvailableFoot and mouth disease (FMD) is a major economically important viral disease of cloven-hoofed livestock globally. The FMD virus (FMDV) spreads widely in confined, cool, and humid climatic conditions. Being an RNA virus, FMDV is genetically unstable, and its genome evolution is highly influenced by mutational pressure. The climatic and environmental conditions have a significant impact on mutational pressure. The present study is a primary effort to establish a comprehensive relationship between climatic factors and the molecular evolutionary pattern of serotypes FMDV circulating in India. In this study, isolates of three serotypes (A, Asia 1, and O) were selected from six major climatic zones of India (Montane, Humid subtropical, Tropical wet and dry, Tropical wet, Semi-arid and Arid). Based on the full genome nucleotide sequence data, the codon usage bias, evolutionary and phylogeographic analysis was carried out. The study revealed that the codon use bias indicators in the FMDV serotypes differed significantly depending on the climatic zones. It implies that the selection and mutational pressure influence the codon usage pattern indices, with mutational pressure taking precedence in determining the codon usage bias of the FMDV genome. The tMRCA was estimated to be 1977, 1956, and 1953 for Indian FMD virus serotype-A, Asia 1, and O respectively which is around 32, 60, and 61 years before its actual identification in the field. Based on the evolutionary rates the serotype O is evolving rapidly compare to other serotypes in India. Virus transmission across the region was evident from the phylogeographic analysis. The integrated analysis of codon usage bias, evolutionary rate, and phylogeography analysis signifies the major role of mutational and selection pressure, implying that the FMD virus co-evolution and adaptations are highly influenced by climatic/environmental factors.Not Availabl