Serotonin or 5-hydroxytryptamine (5-HT)- a neurotransmitter of both the Enteric Nervous System and the Central Nervous System is synthesized by the hydroxylation of L- tryptophan to 5-hydroxytryptophan.Serotonin has been associated with gut functions like assimilation and absorption, alongside the regulation of particle transport and fluid discharge in the gastrointestinal tract and its deficiency is found to be a prominent factor in the prevalence of gut disorders like Irritable Bowel Syndrome.For this review, we assessed the conventional treatment methods of common drugs, with the recently accredited treatment options like dietary regulation, exercise, meditation, and acupuncture. Having found that the most commonly used drugs exhibited various side effects like nausea, fatigue, rash, and dizziness, an in-depth evaluation of different Indian dietary patterns and their respective effects on tryptophan levels has been highlighted to formulate an ideal diet for patients with Irritable Bowel Syndrome (IBS). This review seeks to explore the numerous studies conducted to link IBS with the lack of serotonin production in the body, alongside exploring the evidence associating certain foods with raised tryptophan levels to hypothesize a suitable Indian diet.This review, in its essence, stresses the crucial need for further research on the dietary implications of common Indian foods and their FODMAP (Fermented Oligosaccharides, Disaccharides, Monosaccharides, And Polyols) contents, while underscoring the benefits of using unconventional and natural methods for the treatment of tryptophan-related gut disorders.
Background : Sclerotinia sclerotiorum is a ubiquitous fungal pathogen infecting more than 400 plant species. Sclerotinia stem rot is known to cause as high as 100% crop loss in many cases. Currently, chemical fungicides are the only known solution to this problem. Thus, there is an urgent need for developing environment-friendly alternatives for controlling this pathogen. The review of published articles revealed that a number of mycoviruses with the potential of a biocontrol agent against Sclerotinia have been identified from different parts of the world. Objective: The present investigation describes the isolation and characterization of isolates of S. sclerotiorum infecting cauliflower, peas, and mustard for the presence of a potent mycovirus from lower Himachal region of India. Methods: various infected fields were visited and samples in the form of sclerotia were collected. Various isolates of S. sclerotiorum were obtained and putative hypovirulent isolates were screened. Thereafter, hypovirulent strains were chosen and mycovirus isolation was performed. Finally, isolates showing an extra nucleic acid band were used for mycovirus isolation and further characterization. Curing of mycovirus was used to confirm if altered phenotype was due to the presence of this virus. Results: A ssDNA mycovirus was identified and confirmed from the growth defective isolate. Conclusion: This mycovirus can in turn act as a biocontrol agent, thus reducing dependency on chemical fungicides. To our knowledge, this is the first report on mycovirus isolation from any Sclerotinia sclerotiorum isolate from India.
Background: Geminiviridae is one of the best-characterized and hence, one of the largest plant-virus families with the highest economic importance. Its members characteristically have a circular ssDNA genome within the encapsidation of twinned quasi-icosaheadral virions (18-38 nm size-range). Objective: Construction of a narrative review on geminiviruses, to have a clearer picture of their genomic structure and taxonomic status. Methods: A thorough search was conducted for papers and patents regarding geminiviruses, where relevant information was used to study their genomic organization, diversity and taxonomic structure. Results: Geminiviruses have been classified into nine genera (viz., genus Begomovirus, Mastrevirus, Curtovirus, Topocuvirus, Becurtovirus, Turncurtovirus, Capulavirus, Eragrovirus and Grablovirus) having distinct genomic organizations, host ranges and insect vectors. Genomic organization of all genera generally shows the presence of 4-6 ORFs encoding for various proteins. For now, Citrus chlorotic dwarf-associated virus (CCDaV), Camellia chlorotic dwarf-associated virus (CaCDaV) and few other geminiviruses are still unassigned to any genera. The monopartite begomoviruses (and few mastreviruses) have been found associated with aplhasatellites and betasatellites (viz., ~1.3 kb circular ssDNA satellites). Recent reports suggest that deltasatellites potentially reduce the accumulation of helper-Begomovirus species in host plants. Some patents have revealed the methods to generate transgenic plants resistant to geminiviruses. Conclusion: Geminiviruses rapidly evolve and are a highly diverse group of plant-viruses. However, research has shown new horizons in tackling the acute begomoviral diseases in plants by generating a novel bio-control methodology in which deltasatellites can be used as bio-control agents and generate transgenic plants resistant to geminiviruses.
With the increase of digital data on the internet, computers are at higher risk of getting corrupted through cyber-attacks. Criminals are adopting more and more sophisticated techniques to steal sensitive information from the web. The botnet is one of the most aggressive threats as it combines lots of advanced malicious techniques. Detection of the botnet is one of the most serious concerns and prominent research area among the researchers. This paper proposes a detection model using the clustering algorithm to group bot traffic and normal traffic into two different clusters. Our contribution focused on applying K-means clustering algorithm to detect botnets based on their detection rate (true and false positives). Experimental results clearly demonstrate the fact that with the help of clustering we were able to separate the complete dataset into two entirely distinguishable clusters, where one cluster is representing the botnet traffic and other one representing the normal traffic.
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