Determination and expression of genes for resistance to blast (Magnaporthe oryza) in Basmati and non-Basmati indica rices (Oryza sativa L.)

One hundred and twenty two (122) genotypes of Basmati and non-Basmati Indica rice genotypes were evaluated for expression of resistance against blast disease under induced epiphytotic conditions. Disease severity (%) and area under disease progress curve (AUDPC) parameters were used for screening the blast resistance. Only 13 genotypes expressed resistance against the blast disease. Nine genotypes carried blast resistance genes but, were susceptible under induced epiphytotic conditions. The rice genotype VLD-61 had no resistance genes; however, it expressed strong resistance against blast. An empirical breeding strategy for development of blast resistant improved varieties of rice was also discussed.Keywords: Magnaporthe oryzae, restriction digestion, molecular breeding, Basmati riceAfrican Journal of Biotechnology Vol. 12(26), pp. 4098-410

DATA SCIENCE IN FINANCIAL SERVICES: RISK ANALYSIS, FRAUD DETECTION, AND MARKET INSIGHTS

One area of interdisciplinary academic study that is thought to offer deep business insights is data science. The study's objective is to evaluate the value of market, risk, and fraud analysis in data science for enhancing financial services. Literature review: It is well recognised that using data science to conduct a risk analysis influences commercial organisations' decision-making when it comes to starting new projects. To enhance the banking sector's services, data science's fraud detection division is required. A more complex sort of data science called market analysis can give businesses important insights. Methodology: A study's methodological choice is crucial since it determines the validity and dependability of the research endeavour. In this instance, it may be said that the study adhered to a theoretical analysis as including theories aids in the investigation of the research problem. Findings and analysis: In the context of data science, risk prediction models are helpful since they facilitate the start of statistical analysis. In this instance, it should be noted that quick fraud detection is made possible by the efficiency of data processing and encoding. Thus, putting in place such a network can enhance market data analysis by helping to unravel data layers and patterns. Conclusion: The purpose of the study is to critically examine the effects of fraud detection, risk analysis, and market analysis. This project has focused on leveraging data science to improve financial services. It has been demonstrated that the study's critical evaluation has a significant influence on how data science is applied in the financial industr

Comparison of traditional physico-chemical methods and molecular marker assays for characterization of Basmati rice (Oryza sativa L.)

This study was aim to review the efficiency of molecular markers and traditional physico-chemical methods for the identification of basmati rice. The study involved 44 promising varieties of Indica rices collected from geographically distant places and adapted to irrigated and aerobic agro-ecosystems. Quality data for physical characteristics and organoleptic evaluation observed in AICRP trials and fingerprints based on inter-SSR- PCR and SSR-PCR assays were used and all the varieties were grouped into two major distinct clusters based on distance matrices. The 22 varieties adapted to aerobic agro-ecosystem were classified into a single largest cluster. Both traditional and evolved basmati (EB) varieties were clustered with varieties adapted to irrigated agro-ecosystem. Estimates of genetic diversity between varieties adapted to irrigated and aerobic rice were more prominent than that observed between basmati varieties as was indicated by both the molecular assays. Estimates of physico-chemical quality parameters supplemented with organoleptic attributes were observed to be adequate to provide confirmatory unscrupulous identification of basmati rice.Key words: Basmati rice, physico-chemical characteristics, molecular markers, genetic diversity, organoleptic evaluation

Financial Impact of Complex Cancer Surgery in India: A Study of Pancreatic Cancer.

PURPOSE: The rapidly increasing burden of cancer in India has profound impacts on health care costs for patients and their families. High out-of-pocket (OOP) expenditure, lack of insurance, and low government expenditure create a vicious cycle, leading to household impoverishment. Complex cancer surgery is now increasingly important for emerging countries; however, little is understood about the macro- and microeconomics of these procedures. After the Lancet Oncology Commission on Global Cancer Surgery, we evaluated the OOP expenditure for patients undergoing pancreatico-duodenectomy (PD) at a government tertiary cancer center in India. METHODS: Prospective data from 98 patients who underwent PD between January 2014 and June 2015 were collected and analyzed. The time frame for consideration of expenses, including all preoperative investigations, was from the first hospital visit to the day of discharge. Catastrophic expenditure was calculated by assessing the percentage of households in which OOP health payments exceeded 10% of the total household income. RESULTS: The mean expenditure for PD by patients was Rs.295,679.57 (US$74,420, purchasing power parity corrected). This amount was significantly higher among those admitted to a private ward and those with complications. Only 29.6% of the patients had insurance coverage. A total of 76.5% of the sample incurred catastrophic expenditure, and 38% of those with insurance underwent financial catastrophe compared with 93% of those without insurance. The percentage of patients facing catastrophic impact was highest among those in semiprivate wards, at 86.7%, followed by those in public and private wards. CONCLUSION: The cost of PD is high and is often unaffordable for a majority of India's population. A review of insurance coverage policies for better coverage must be considered

New aspects and strategies for methane mitigation from ruminants.

The growing demand for sustainable animal production is compelling researchers to explore the potential approaches to reduce emissions of greenhouse gases from livestock that are mainly produced by enteric fermentation. Some potential solutions, for instance, the use of chemical inhibitors to reduce methanogenesis, are not feasible in routine use due to their toxicity to ruminants, inhibition of efficient rumen function or other transitory effects. Strategies, such as use of plant secondary metabolites and dietary manipulations have emerged to reduce the methane emission, but these still require extensive research before these can be recommended and deployed in the livestock industry sector. Furthermore, immunization vaccines for methanogens and phages are also under investigation for mitigation of enteric methanogenesis. The increasing knowledge of methanogenic diversity in rumen, DNA sequencing technologies and bioinformatics have paved the way for chemogenomic strategies by targeting methane producers. Chemogenomics will help in finding target enzymes and proteins, which will further assist in the screening of natural as well chemical inhibitors. The construction of a methanogenic gene catalogue through these approaches is an attainable objective. This will lead to understand the microbiome function, its relation with the host and feeds, and therefore, will form the basis of practically viable and eco-friendly methane mitigation approaches, while improving the ruminant productivity

A diarylamine derived from anthranilic acid inhibits ZIKV replication

Zika virus (ZIKV) is a mosquito-transmitted Flavivirus, originally identified in Uganda in 1947 and recently associated with a large outbreak in South America. Despite extensive efforts there are currently no approved antiviral compounds for treatment of ZIKV infection. Here we describe the antiviral activity of diarylamines derived from anthranilic acid (FAMs) against ZIKV. A synthetic FAM (E3) demonstrated anti-ZIKV potential by reducing viral replication up to 86%. We analyzed the possible mechanisms of action of FAM E3 by evaluating the intercalation of this compound into the viral dsRNA and its interaction with the RNA polymerase of bacteriophage SP6. However, FAM E3 did not act by these mechanisms. In silico results predicted that FAM E3 might bind to the ZIKV NS3 helicase suggesting that this protein could be one possible target of this compound. To test this, the thermal stability and the ATPase activity of the ZIKV NS3 helicase domain (NS3Hel) were investigated in vitro and we demonstrated that FAM E3 could indeed bind to and stabilize NS3Hel