Global reporting of antibiotic resistant bacteria (ARB) bearing antibiotic resistance genes (ARGs) have increased in the past decade. Sewage systems act as breeding grounds for these pathogens. Dumping of untreated sewage effluent in river water systems have aided in their dissemination and spread. The molecular pathways circumventing antibiotics through ARGs is rising owing to overuse of these drugs. Use of aminoglycoside spectrum drugs has been increased exponentially. The genes providing resistance to these antibiotics are transferred through extra-chromosomal circular DNA elements. Polluted water bodies are ground zero for exchange of these genetic factors. Through literature survey, we shortlisted some clinically relevant genes which provide resistance against aminoglycosides and hold immense importance in present scenario. Initial screening for these genes was done on water samples collected from Swarna Rekha River channel in Gwalior District of Madhya Pradesh, India. A total of five identified genes were sequence verified using conventional PCR followed by targeted sequencing. Further, diagnostic platforms were designed for two reoccurring genes npmA &sat4 and their presence evaluated from wastewater samples collected from urban establishments of the district. Prevalence of these genes in sewage samples validated the broad impact of urban waste burden in polluting local water bodies. We were able to identify some indispensable and high risk aminoglycoside resistance providing genes, unreported in Indian context. This approach towards ARG screening could support risk assessment of future antibiotic resistance associated public health hazards.
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http://dx.doi.org/10.1016/j.gene.2024.149181 | DOI Listing |
Neural Netw
December 2024
Norwegian University of Science and Technology, Trondheim, Norway; Jinhua Institute of Zhejiang University, Hangzhou, China.
Accurate modeling of DNA sequences requires capturing distant semantic relationships between the nucleotide acid bases. Most existing deep neural network models face two challenges: (1) they are limited to short DNA fragments and cannot capture long-range interactions, and (2) they require many supervised labels, which is often expensive in practice. We propose a new neural network model called SwanDNA to address the above challenges.
View Article and Find Full Text PDFPlant Physiol
December 2024
Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid 28049, Spain.
The number and distribution of trichomes, i.e., the trichome pattern, in different plant organs shows a conspicuous inter- and intraspecific diversity across Angiosperms that is presumably involved in adaptation to numerous environmental factors.
View Article and Find Full Text PDFG3 (Bethesda)
December 2024
MRC Centre for Medical Mycology, University of Exeter, Geoffrey Pope Building, Stocker Road, Exeter, United Kingdom, EX4 4QD.
Batrachochytrium dendrobatidis (Bd) is responsible for mass extinctions and extirpations of amphibians, mainly driven by the Global Panzootic Lineage (BdGPL). BdGPL isolate JEL423 is a commonly used reference strain in studies exploring the evolution, epidemiology and pathogenicity of chytrid pathogens. These studies have been hampered by the fragmented, erroneous and incomplete B.
View Article and Find Full Text PDFSTAR Protoc
December 2024
College of Life Sciences, Northwest Normal University, Lanzhou 730070, China. Electronic address:
Here, we present a protocol for conditional mutagenesis in zebrafish germ cells using Tol2 transposon and a CRISPR-Cas9-based plasmid system. We describe steps for conditional mutagenesis plasmid construction, zebrafish embryo microinjection, and screening for green fluorescence in the heart. This protocol is simple to execute, time efficient, and multifunctional, enabling the disruption of genes in zebrafish germ cells to be conducted with ease.
View Article and Find Full Text PDFJ Biomed Mater Res A
January 2025
Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, Thailand.
Plasma nitriding is one of the surface modifications that show more effectiveness than other methods. In this study, the plasma-based ion implantation (PBII) technique was performed on the surface of titanium alloy (Ti-6Al-4V, Ti64) using a mixture of nitrogen (N) and argon (Ar), resulting in a plasma-nitrided surface (TiN-Ti64). The surface composition of the TiN-Ti64 was verified through X-ray photoelectron spectroscopy (XPS).
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