Browsing by Author "Santa Ram Joshi"

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Genetic environment of plasmid mediated CTX-M-15 extended spectrum beta-lactamases from clinical and food borne bacteria in north-eastern India
(Public Library of Science, 2015) Supriya Upadhyay; Abbas Hussain; Shweta Mishra; Anand Prakash Maurya; Amitabha Bhattacharjee; Santa Ram Joshi
Background The study investigated the presence of CTX-M-15 type extended spectrum beta-lactamases (ESBL), compared their genetic arrangements and plasmid types in gram negative isolates of hospital and food origin in north-east India. From September 2013 to April 2014, a total of 252 consecutive, non-duplicate clinical isolates and 88 gram negative food isolates were selected. Phenotypic and molecular characterization of ESBL genes was performed. Presence of integrons and gene cassettes were analyzed by integrase and 59 base-element PCR respectively. The molecular environments surrounding blaCTX-M and plasmid types were investigated by PCR and PCR-based replicon typing respectively. Transformation was carried out to assess plasmid transfer. Southern blotting was conducted to localize the blaCTX-M-15 genes. DNA fingerprinting was performed by ERIC-PCR. Results Prevalence of ESBL was found to be 40.8% (103/252) in clinical and 31.8% (28/88) in foodborne isolates. Molecular characterization revealed the presence of 56.3% (58/103) and 53.5% (15/28) blaCTX-M-15 in clinical and food isolates respectively. Strains of clinical and food origin were non-clonal. Replicon typing revealed that IncI1 and IncFII plasmid were carrying blaCTX-M-15 in clinical and food isolates and were horizontally transferable. The ISEcp1 element was associated with blaCTX-M-15 in both clinical and food isolates. Conclusions The simultaneous presence of resistance determinants in non-clonal isolates of two different groups thus suggests that the microbiota of common food products consumed may serve as a reservoir for some of the drug resistance genes prevalent in human pathogens. © 2015 Upadhyay et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Shifting cultivation induced burn area dynamics using ensemble approach in Northeast India
(Elsevier B.V., 2022) Pulakesh Das; Mukunda Dev Behera; Saroj Kanta Barik; Sujoy Mudi; Buddolla Jagadish; Swarup Sarkar; Santa Ram Joshi; Dibyendu Adhikari; Soumit Kumar Behera; Kiranmay Sarma; Prashant Kumar Srivastava; Puneet Singh Chauhan
Identifying shifting cultivation areas and assessing their spatio-temporal dynamics are essential in framing climate-adaptive policies for efficient forest management and agriculture practices for the benefit of people. The current study attempts to develop an alternative approach to classify the shifting cultivation areas using an ensemble technique, integrating multiple spectral indices in three states of northeast India (NEI), such as Assam, Manipur, and Meghalaya. The adopted approach integrates green cover and leaf water content changes during shifting cultivation land preparation in Landsat imagery. The deforested burned area patches were identified based on threshold values using Landsat data-derived indices on vegetation, burned area and leaf water, and digital elevation model (DEM). The ensemble approach provided shifting cultivation maps with good overall accuracy (> 83%). The maximum shifting cultivation area was observed in Assam (126.87 km2), followed by Meghalaya (51.53 km2) and Manipur (46.04 km2) in 2016. The normalized difference vegetation index (NDVI) and NDVI difference performed better than other vegetation indices. The ensemble approach can be applied in other regions with minor modifications in threshold values, thus having the potential for accounting to shifting cultivation dynamics on an operational basis. Future research may include blending local traditional knowledge and modern scientific solutions for improved forest and land resources planning for the benefit of inhabitants and the mountain environment under the climate change scenarios. © 2021