Glanders is an infectious and contagious bacterial disease of equines. A little is known about its seroprevalence and risk factors in working equines in countries where the disease is endemic. Also, there are no reports on prevalence of the disease in areas where there is a prior evidence of Burkholderia (B.) mallei detection in soil. A cross-sectional study was conducted in selected districts (n=09) of Punjab province of Pakistan during 2014-2015. A total of 1008 serum samples were screened for detection of antibodies to B. mallei with complement fixation test followed by western blot. The overall seroprevalence was found to be 3.17% (95% CI: 2.25-4.44). The seropositivity was significantly higher from the sampling sites where B. mallei was detected in soil [OR: 10.66 (95% CI: 4.42-31.66), p=0.00]. Other risk factors significantly associated with animal seropositivity were: age group [OR: 1.78 (95% CI: 4.58-15.56), p=0.00], location in urban area [OR: 2.99 (95% CI: 1.46-6.51), p=0.00],body condition [OR: 3.47 (95% CI: 1.64-7.99), p=0.00], presence of farcy lesion[OR: 7.71 (95% CI: 3.47-19.50), p=0.00], proximity to water bodies [OR: 7.71 (95% CI: 3.47-19.50), p=0.00]; domestic animal population [OR: 3.20 (95% CI: 1.24-10.87), p=0.03] and number of households in sampling area [OR: 4.18 (95%CI: 1.82-11.30), p=0.00]. The study provides an estimate of prevalence of glanders and a potential link between animal seropositivity and presence of B. mallei in soil. The risk factors identified in this study can be used in surveillance and disease awareness. The high prevalence of disease in draught horses and contact of infected animals with their care-takers in developing countries signify need to initiate progressive control of the disease using one health approach.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has affected more than 15 million people and, as of 22 July 2019, caused deaths of more than 0.6 million individuals globally. With the excretion of SARS-CoV-2 in the stool of symptomatic and asymptomatic COVID-19 patients, its genome detection in the sewage water can be used as a powerful epidemiological tool to predict the number of positive cases in a population. This study was conducted to detect SARS-CoV-2 genome in sewage water during the lockdown. Sewage samples, from 28 pre-selected sites, were collected on alternate days from 13-25 July, 2020 from two selected areas [Johar Town (n = 05) and Township (n = 23)], where smart lockdown were implemented by the government authorities on 9 ^th July, 2020. Genomic RNA was extracted and the SARS-CoV-2 was detected and quantified using commercially available kit through Real-Time PCR. Out of 28, sixteen samples were positive on day one while 19, 17, 23, 17, 05 and 09 samples were positive on day 3, 5, 7, 9, 11, and 13, respectively. Results revealed a decreased positivity rate and SARS CoV-2 genome copies in sewage towards the end of lockdown however few sampling sites did not follow a clear pattern indicating the complexities in sewage water based surveillance i.e time of sampling etc. Hourly sampling from two sites for 24 hours also revealed the impact of sampling time on detection of SARS-CoV-2 genome in sewage. Results of current study insinuate a possible role of sewage-based COVID-19 surveillance in monitoring and execution of smart lockdowns.

Canine babesiosis is a serious threat to dogs’ health worldwide, caused by the intra-erythrocytic Babesia species. The present study was carried out in pet dogs presented at three clinics of Lahore and one of Narowal in Punjab, Pakistan. Two hundred blood samples (50 from each clinic) were collected and screened by microscopy for Babesia spp. Out of 200 samples, 84 (42%) were found to be positive for babesiosis. The highest number of positive cases (50%) was recorded in dogs at Narowal clinic. Non-significant variation (p > 0.05) was observed in the prevalence of babesiosis in dogs in relation to sex and age. Positive samples were further confirmed by a polymerase chain reaction using 18S-rRNA genus-specific and species-specific primers. Amplicons were further analyzed by nucleotide sequencing for genetic diversity. Babesia canis and gibsoni were confirmed by genome sequencing in all diseased dogs. These isolates closely resembled each other, but differed from previous reported strains. In conclusion, pet dogs suffering from babesiosis were infected with B. canis and gibsoni, while in other countries, other Babesia species are also prevalent.

Trend of biofuel production from microalgal triacylglycerols is enhancing, because this substrate is a good sustainable and advantageous alternative to oil and gas fuel. In the present study, indigenous micro algal isolates were screened from water (n=30) and soil (n=30) samples collected from three districts of Punjab, Pakistan to evaluate their biofuel production potential. The samples were inoculated on BG – 11 agar medium plates by incubating at room temperature of 25°C providing 1000 lux for 16h light cycle followed by 8h of dark cycle for 15 d. Water samples were found to be rich in microalgae and 65.33% microalgae (49 isolates) were isolated from Faisalabad district. On the basis of microscopic morphology microalgal isolates (n=180) were selected and subjected to lipid detection by Nile red staining assay. Nile red positive isolates (n=23) were processed for biochemical (lipid, protein and carbohydrates) characterization. AIN63 isolate showed higher lipids (17.4%) content as detected by micro vanillin assay. Algal isolate AIN128 showed best protein contents (42.91%) detected by Bradford assay and AIN172 isolate showed higher carbohydrate contents (73.83%) as detected by anthrone assay. The selected algal isolates were also analyzed by Fourier transform infrared (FTIR) spectroscopy for confirmation of carbohydrate, protein and lipid analysis. These indigenous algae have the potential for in-vitro biofuel production from agricultural waste.