Indian gooseberry, popularly known as amla, is harvested from two species of Phyllanthus, namely Phyllanthus emblica and Phyllanthus indofischeri. Although these two species are characterized on vegetative and reproductive features, development of reliable and authentic identification based on molecular approaches is necessary for precise identification. Most of the commercial orchards of Indian gooseberry are established with mixture of the two species. Introduction of unauthentic clones and seedlings in the establishment of orchards and differences in the growth of these two species under different elevations are the major constrains in identification. The present work aims to study the changes in vegetative and reproductive features under different elevations and to develop a simple molecular tool for precise identification of these two species based on single nucleotide polymorphisms in trnL (UAA) intron sequences of chloroplast DNA. Genomic DNA of leaf tissues of P. emblica and P. indofischeri, collected from the authentic source, was subjected to polymerase chain reaction amplification using trnL (UAA) intron gene-specific primers. The amplified product with the molecular weight of 540 bp was sequenced and used as reference for identification of these two species. The trnL (UAA) introns sequenced from 60 individual trees in three different orchards were compared with trnL (UAA) intron of authentic samples, and confirmed that these orchards have 76% population of P. indofischeri and remaining 24% is occupied by P. emblica. Thus, trnL (UAA) intron is a potential DNA marker for precise identification of these two species. The importance of the present study and its practical application in genetic improvement of Indian gooseberry are discussed.
Plants are a rich source of bioactive phytochemicals which provide health benefits for humans further than those attributed to macronutrients and micronutrients. The phytochemical compounds isolated and purified are employed in a wide range of applications. In the present study, the bioactive compounds of Abelmoschus manihot benzene, chloroform, methanol and ethanol leaf extracts via GC-MS was analyzed and its biological properties being available in pure form, being nontoxic with a wide spectrum of biological functions, may find its application in the formation of various medicinal products.
Quality of soil and water are determined by measuring the concentration of their parameters and comparing them with standards. In the present study, soil samples (top, sub and inner) from three zones, zone 1 (industrial area), zone 2 (10km from industrial area) and zone 3 (agricultural land/fields) of Puliyanthangal village, and the bore well, well and pond water samples of Kathiyavadi village were analysed from January 2019 to December 2019. Soil texture was sandy loam in all the zones. The pooled values for pH, electrical conductivity (dS/m), organic carbon (%), available nitrogen, phosphorous, potassium, iron, manganese, zinc and copper (mg/Kg) tested in zone 1, 2 and 3 were 7.9, 6.8 and 6.8; 0.3, 0.3 and 0.1; 0.09, 0.5 and 0.5; 11.7, 96.0 and 137.8; 4.5, 4.5 and 4.2; 88.3, 111.3 and 206.7; 3.6, 3.4 and 3.7; 2.1, 1.7 and 2.3; 0.4, 0.3 and 0.2; and 0.7, 0.5 and 0.7, respectively. The bore well and well water samples were clear and colourless without odour, whereas the pond water was slightly yellowish in appearance and colour, and without odour in all the three zones. The physicochemical parameters viz., water temperature, electrical conductivity, turbidity, total dissolved solids, pH, total alkalinity and total hardness for bore well, well and pond water were 27.9, 22.8 and 33.0°C; 975, 1532 and 737μS/cm; 0, 1 and 11NTU; 683, 1072 and 516mg/L; 7.4, 7.8 and 7.3; 276, 344 and 248mg/L; and 190, 732 and 272mg/L, respectively. Calcium, magnesium, free ammonia, nitrate, nitrite, chloride, fluoride, sulphate and phosphate represented the nutrient parameters and their respective values (mg/L) were 41, 174 and 58; 21, 71 and 30; 0, 0 and 1.1; 24, 29 and 22; 0, 0 and 0.8; 100, 184 and 60; 0.4, 0.4 and 0.4; 77, 120 and 49; 0, 0 and 0.8. The values of metal parameters reported nil except for iron (0.2mg/L) in pond water. The study inferred that the waning nature of soil and water might be due to location of industrial units.
Medicinal plants are of great significance and global importance as antioxidants and antibacterial agents. In the present investigation the chloroform leaf extract of Abelmoschus manihot was screened for its phytochemical constituents, antioxidant and antibacterial properties. Flavonoids, phenolics, tannins and vitamins were the phytochemical constituents present. GC-MS analysis revealed ten major phytocompounds. In vitro antioxidant assay via DPPH exhibited an IC50 value of 234.7±37.53mg/mL, and its activity could be ascribed due to the presence of the phytocompound α-tocopherol. The antimicrobial activity represented by the zone of inhibition via disc diffusion method, observed no activity against the fungal strains, Aspergillus niger and Candida albicans. Staphylococcus aureus and Escherichia coli exhibited 12 to 14mm zone of inhibition at concentrations 100-500µg, which can be attributed due to the presence of flavonoids. The above results suggests that antioxidant and antibacterial activity exhibited by the chloroform leaf extract of this plant was attributed to the presence of the phytochemicals, especially phenolics and flavonoids. Further in depth studies on the phytochemical constituents of this chloroform leaf extract is recommended, as this extract could serve as an additional implement to natural antioxidant and antibacterial agents.
Packet content scanning is one of the crucial threats to network security and network monitoring applications. In monitoring applications, payload of packets in a network is matched against the set of patterns in order to detect attacks like worms, viruses, and protocol definitions. During network transfer, incoming and outgoing packets are monitored in depth to inspect the packet payload. In this paper, the regular expressions that are basically string patterns are analyzed for packet payloads in detecting worms. Then the grouping scheme for regular expression matching is rewritten using Deterministic Finite Automaton (DFA). DFA achieves better processing speed during regular expression matching. DFA requires more memory space for each state. In order to reduce memory utilization, decompression technique is used. Delayed Dictionary Compression (DDC) is applied for achieving better speeds in the communication links. DDC achieves decoding latency during compression of payload packets in the network. Experimental results show that the proposed approach provides better time consumption and memory utilization during detection of Internet worm attacks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.