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Background and Aims: The trend of COVID-19 infections in India has been dynamic as well as complex, with several peaks and troughs since the pandemic began, including the rise of advanced and more contagious variants of the virus, increased public complacency towards health guidelines, and the challenges posed by vaccine hesitancy and misinformation. The current article comprehends the patterns of COVID-19 infection in India, with highlights of infection patterns and mortality in several states. Methods: With the use of keywords, we looked through the National Library of Medicine, Google Scholar, and PubMed electronic databases. We have all the specific information from the case reports and clinical series of the patients from the various COVID-19 pandemic waves in India. In order to assess the national impact of these epidemic waves, we then carefully review the case reports.

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It has learned that soybean is being affected by a floral disorder known as floral malady where plants fail to develop pod and do notattendfull maturity. For this floral disorder, we present a new methylationsensitive amplified polymorphism (MSAP) approach for the evaluation of relative quantitative characteristics of non-methylation, hyper-methylation, hemi-methylation, and full methylation status of CCGG sequences, which are recognized by the isoschizomers HpaII and MspI. We applied a technique to analyze alterations in the cytosine methylation a popular Indian soybean (Glycine max L.) genotype, JS-335.The result revealed that in the symptomatic plant, out of 392 MSAP sites, 281 (71.68%), 33 (8.41%),38 (9.69%), and 40(10.20%) HIGHLIGHTS• Cytological study for floral malady in soybean• MSAP profiling in floral malady symptomatic and asymptomatic plant.• Insights of pattern and extent of methylation.• Epigentic gene regulation by MSAP approach.