Advancements in Life Sciences (E-Journal, University of the Punjab)
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Effect of Salinity (NaCl) stress on germination and early seedling growth of three medicinal plant species
Get PDFBackground: Salinity stress negatively affects the growth and yield of plants. Due to the increasing demand for products derived from medicinal plants and with regard to the growing problems caused by salinity of arable lands, the use of salt-tolerant species can be a strategic approach to cope with this problem. The aim of the present study was to evaluate the effect of salinity stress on germination and seedling growth of three medicinal plant species.Methods: Seeds of three species of medicinal herbs including isabgol (Plantago ovata L.), zucchini (Cucurbita pepo L.) and clove (Caryophyllus aromaticus L.) were exposed to different concentrations (0, 10, 20, 30 and 40 dS·m-1) of sodium chloride (NaCl).Results: It was observed that, except for zucchini, germination was inhibited at higher salinity regimes. NaCl treatment caused a serious decrease in the early seedling growth by means of reduced root and shoot length at higher salinity levels. Regression analysis of studied indices over salinity levels revealed that the highest and lowest slopes of regression lines belonged to isabgol and zucchini, respectively indicating high tolerance of zucchini and also, high sensitivity of isabgol to the imposed salinity levels.Conclusions: Based on the findings, zucchini was able to germinate more than 90% at 40 dS·m-1 of NaCl. Therefore, zucchini is suggested to be cultivated in farmlands which are relatively faced with the problem of soil salinity while, it is recommend that isabgol and clove not to be planted in such soils
Antimicrobial activities, pollen diversity and physicochemical properties of natural honey from Southeastern Anatolia of Turkey
Get PDFBackground: Honey, a natural sweetener, is produced from the nectar of many plants. The pollen diversity, physicochemical properties, and antimicrobial activities were analyzed in honey samples from Mardin (Southeastern Anatolia). Methods: The melissopalynological method was used to identify and enumerate the pollen granules. Analytical methods and agar well diffusion assays were employed for the determination of some quality parameters and the antimicrobial potential of honey samples, respectively. Results: The pollen composition consisted of 27 taxa belonging to 13 families. The origins of all honey were determined as the multifloral sources. The most predominant taxa were mainly Hedysarum sp., Carduus sp., Melissa officinalis, Gossypium hirsitum, Paliurus spina-christi, Salix sp. and Pimpinella anisum. The secondary pollen taxa were Hedysarum sp., Trifolium sp., Astragalus sp., Salix sp., Paliurus spina-christi, Asphodeline sp., Centaurea sp., Carduus sp., Zea mays and Cistus sp., respectively. Asphodeline sp. as a secondary pollen taxon in a honey sample could be considered as the first report. The pH, total acidity, brix, refractive index, electrical conductivity, moisture and L, a, b values of the samples varied from 3.75 to 4.28, 30 to 42, 67.3 to 85.70, 1.45 to 1.50, 12.40 to 31.61, 0.24 to 0.90, 47.81 to 57.59, -0.94 to 4.31, 20.37 to 31.28, respectively. Antimicrobial activities of the honey specimens were also effective on five bacterial species and two yeast species. Conclusions: Honey samples from Southeastern Anatolia revealed a good diversity of pollen granules. The rich multiflora of honey increases not only its nutritional quality as well as antimicrobial potential on various clinically important microorganisms.
Biosafety risk assessment approaches for insect-resistant genetically modified crops
Get PDFBackground: Environmental risk assessment (ERA) is imperative for commercial release of insect resistant, genetically modified crops (IR-GMCs).An insect specific, spider venom peptideω-HXTX-Hv1a (Hvt) was successfully expressed in cotton plants. The cotton plants producing Hvt protein have demonstrated resistance against economically important insect pest species. The study was performed to assess the effects of Hvt producing cotton plants on Honey bees (Apis mellifera).Methods: Three approaches were used to evaluate the effects of Hvt protein on adults of honeybees; whole plant assays in flight cages, in vitro assays with pollen of Hvt-cotton, and assays with elevated levels of purified Hvt protein. Pollens of Bt cotton or purified Bt proteins were used as control.Results: The field experiments did not yield any meaningful data due to high rate of mortality in all treatments including the control. However, the laboratory experiments provided conclusive results in which Hvt, purified or in pollens, did not affect the survival or longevity of the bees compared to the control. During the course of study we were able to compare the quality, effectiveness and economics of different experiments. Conclusions: We conclude that Hvt either purified or produced in cotton plants do not affect the survival or longevity of honey bees. We are also of the view that starting at laboratory level assays not only gives meaningful data but also saves a lot of time and money that can be spent on other important questions regarding safety of a particular transgenic crop. Hence, a purpose-based, tiered approach could be the best choice for pre-release ERA of IR-GMCs.
Identification and Antimicrobial Susceptibility Profile of Bacterial Pathogens Isolated From Wound Infections in a Teaching Hospital, Peshawar, Pakistan
Get PDFBackground: The resistance profile of bacteria causing wound infections may vary from time to time in a given geographical location. The key objective of this study was to determine the prevalent aerobic and or facultative anaerobic bacterial types and their antibiogram to commonly prescribed antibiotics.Methods: Pus, drainage or wound swabs from various body parts of 200 patients were aseptically collected from Khyber Teaching Hospital (KTH) and processed by standard microbiological techniques for identification of bacterial isolates and later antimicrobial susceptibility profile was determined as per Clinical and Laboratory Standard Institute (CLSI) guidelines by using Kirby-Bauer method.Results: Out of 200 clinical wound specimens processed, Staphylococcus aureus was the most common bacterial pathogen isolated (n=100, 50%), followed by Escherichia coli (n=45, 22.5%),Pseudomonas aeruginosa (n=35, 17.5%), Enterobacter species (n=14, 7%), Proteus species (n=5, 2.5%) and Morganella species (n=1, 0.5%). Staphylococcus aureus (n=100) showed highest resistance to amoxicillin (82%), followed by ofloxacin (80%), sparfloxacin (78%), ciprofloxacin (71%), levofloxacin (46%) and Gentamicin (34%). Out of 100 S. aureus isolates methicillin and vancomycin resistance was found to be in 1.5 and 2% of the isolates, respectively. Among Gram negative isolates (n=100) the vast majority were resistant to augmentin, followed by cephalosporins, quinolones and almost fairly susceptible to carbapenems, cefoperazone + sulbactam and aminoglycosides.Conclusion: There is a need for judicious use of antibiotics in clinical setup. The periodic monitoring of bacterial pathogens and their susceptibility profile is very helpful in understanding the resistance phenotypes in a given area which ultimately help physicians in selecting suitable empirical therapy
A comparative analysis of machine learning approaches for plant disease identification
Get PDFBackground: The problems to leaf in plants are very severe and they usually shorten the lifespan of plants. Leaf diseases are mainly caused due to three types of attacks including viral, bacterial or fungal. Diseased leaves reduce the crop production and affect the agricultural economy. Since agriculture plays a vital role in the economy, thus effective mechanism is required to detect the problem in early stages.Methods: Traditional approaches used for the identification of diseased plants are based on field visits which is time consuming and tedious. In this paper a comparative analysis of machine learning approaches has been presented for the identification of healthy and non-healthy plant leaves. For experimental purpose three different types of plant leaves have been selected namely, cabbage, citrus and sorghum. In order to classify healthy and non-healthy plant leaves color based features such as pixels, statistical features such as mean, standard deviation, min, max and descriptors such as Histogram of Oriented Gradients (HOG) have been used.Results: 382 images of cabbage, 539 images of citrus and 262 images of sorghum were used as the primary dataset. The 40% data was utilized for testing and 60% were used for training which consisted of both healthy and damaged leaves. The results showed that random forest classifier is the best machine method for classification of healthy and diseased plant leaves.Conclusion: From the extensive experimentation it is concluded that features such as color information, statistical distribution and histogram of gradients provides sufficient clue for the classification of healthy and non-healthy plants
Bacterial contamination of Saudi Arabian paper currency: A report from Al-Kharj
Get PDFBackground: Currency is a public support tool for exchange of commodity and services. It’s prevalent practice for acquiring bread to broast and bath to bed has connected all human being together irrespective of race and occupation. Currency notes along with their denomination values also carry pathogens if contaminated and will act as an agent for infection transference. Therefore the objective of this cross-sectional study was to assess the load microbial pathogens of paper currency collected in selected public places of Al-Kharj, Saudi Arabia.Methods: Currency notes under study were assessed through microbiological culture, microscopic and biochemical visualization techniques.Results: The results from this cross-sectional study suggested that lower the currency denominations higher was the microbial contaminations, frequency percentage was lower with higher isolations. Small eateries were the biggest source of contaminated currency from the ten selected centres. Percentage microorganism occurrence for Bacillus sp., Staphylococcus sp., Klebsiella sp. and E. coli was 56.84%, 25.03%, 13.40% and 04.71% respectively in all currency notes under study.Conclusions: The outcomes of this study revealed that currency notes can be a source for microbe transmission causing infectious diseases represent public health hazards to the community and individuals
Green synthesis and antibacterial activities of silver nanoparticles against Escherichia coli, Salmonella typhi, Pseudomonas aeruginosa and Staphylococcus aureus
Get PDFBackground: Over the last two decades infectious agents have become more dangerous, most especially in developing countries, due to their ability to develop resistance against orthodox medicines. Many in these countries are suffering from the debilitating effects of these pathogens without any remedies in sight. The recent researches in nanoparticles derived from medicinal plants seem to be yielding positive results.Methods: We carried out synthesis of silver nanoparticles from AgNO3 and using Hyaluronic acid as a stabilizing agent to avoid aggregation in green synthesis from Ziziphus spinachristi and Garcinia kola. Transmission electron microscopy (TEM) was used to determine particle size and shape. Disc diffusion technique was used to study the susceptibility patterns of the particles on the test organisms- Escherichia coli, Salmonella typhi, Pseudomonas aeruginosa and Staphylococcus aureus.Result: The nanoparticles exhibited very high activity against the pathogens at very low concentration and showed remarkable higher activity than the crude extracts and standard antibiotics (control) with very wide zones of inhibition. The zones of inhibition ranged from 12.4±0.11 - 15.1±0.22 for the nanoparticles as against, 8.7±0.21 - 9.2±0.32 for the crude and 10.7±0.22 - 12.7±0.88 for the standard antibiotics. Conclusion: Green synthesis of silver nanoparticles may give the long awaited breakthrough against these infectious agents to ameliorate, if not completely, win the war against these pathogens.
Association patterns of Atrial Fibrillation with symptoms of metabolic syndrome
Get PDFBackground: Atrial fibrillation (AF) is the common cardiac arrhythmia in which heart beats irregularly usually greater than 100 beats per minutes. AF is well-documented public health problem causing substantial mortality and morbidity. Metabolic syndrome (MS) is a collection of metabolic risk factors like diabetes, hypertension, dyslipidemia, obesity and impaired glucose level that exists in one person. The aim of the present study is to find the relation between AF and MS.Methods: 100 patients of AF were sampled from Punjab Institute of Cardiology, Lahore from December, 2014 to June 2015. These patients were divided into two AF groups, 50 without MS and 50 with MS. 25 healthy subjects were also included for the comparison. Lipid profile was assessed by chemistry analyzer and serum insulin was measured by ELISA.Results: In our population, there was significantly high levels of insulin resistance (IR) and obesity in AF groups (without MS and with MS) as compared with healthy subjects (P<0.05). Highly significant differences was observed in relation with other parameters e.g. hypertension, hypertriglyceridemia, HDL-C among the studied groups (P<0.05). Significant positive correlation was observed between insulin and lipid profile (TC, TG, LDL) while inverse with HDL.Conclusion: The indictors of metabolic syndrome were significantly correlated with AF in the studied subjects, while IR was found significantly higher in MS group.
Phytochemical and biological screening of Berberis aristata
Get PDFBackground: Berberis aristata occupies significant position as a medicinal plant. Given its clinical applications and the grave concern of weed based crop damage in Pakistan, the plant was investigated for its antimicrobial and allelopathic activities.Methods: Fresh Berberis aristata plant was obtained from Rawalakot and Hajeera (District Poonch) Azad Kashmir. Methanolic extract preparation and phytochemical analysis was done using standard procedures. Antibacterial and antifungal activities of the root, stem and leaf extracts of the plant were assayed against the bacterial strains E. coli, S. typhi, S. aureus, Shigella, Citrobacter, P. vulgaris, Enterobacter, S. pyrogenes, V. cholera and Klebsiella spp. and fungal strains A. niger,Cladosporium, Rhizoctonia, Alternaria, Trichoderma, Penicillium, Curvularia, Paecilomyces andRhizopus using disc diffusion method. Also, the phytoxicity of the extracts was evaluated againstLemna minor and the data was recorded after seven days.Results: Phytochemical screening of the three extracts identified the presence of alkaloids, reducing sugars, steroids, flavonoids, terpenoids, glycosides and saponins while tannins were found to be absent. The leaf extract also showed negative tests for alkaloids and steroids. The extracts significantly inhibited the growth of the employed microbial isolates. The leaf extract, however, was not active against A. niger, Curvularia, Paecilomyces and Rhizopus. For most of the tested strains, the effectiveness of the extracts was much higher than that of Amoxicillin and Fluconazole; the positive controls used for bacterial and fungal cultures, respectively. All the extracts demonstrated 100% phytotoxicity against Lemna minor at 1000 μg/mL while low activity (10-20%) was observed at 10 μg/mL and 100 μg/mL, respectively.Conclusion: The results strongly support the profound ethnobotanical applications of this plant and also demonstrate its potential for use in weed control strategies
Anticancer screening of medicinal plant phytochemicals against Cyclin-Dependent Kinase-2 (CDK2): An in-silico approach
Get PDFBackground: Cyclin-Dependent Kinase-2 (CDK2) is a member of serine/threonine protein kinases family and plays an important role in regulation of various eukaryotic cell division events. Over-expression of CDK2 during cell cycle may lead to several cellular functional aberrations including diverse types of cancers (lung cancer, primary colorectal carcinoma, ovarian cancer, melanoma and pancreatic carcinoma) in humans. Medicinal plants phytochemicals which have anticancer potential can be used as an alternative drug resource.Methods: This study was designed to find out anticancer phytochemicals from medicinal plants which could inhibit CDK2 with the help of molecular docking technique. Molecular Operating Environment (MOE v2009) software was used to dock 2300 phytochemicals in this study.Results: The outcome of this study shows that four phytochemicals Kushenol T, Remangiflavanone B, Neocalyxins A and Elenoside showed the lowest S-score (-17.83, -17.57, -17.26, -17.17 respectively) and binds strongly with all eight active residues Tyr15, Lys33, Ileu52, Lys56, Leu78, phe80, Asp145 and Phe146 of CDK2 binding site. These phytochemicals could successfully inhibit the CDK2.Conclusion: These phytochemicals can be considered as potential anticancer agents and used in drug development against CDK2. We anticipate that this study would pave way for phytochemical based novel small molecules as more efficacious and selective anti-cancer therapeutic compounds