Identification, Detection and Enumeration of Klebsiella based on Culture-Independent Real-Time PCR: "The Klebsiella: 'An Emerging Environmental Threats' in Riverine-Systems"

Klebsiella is one of the fecal coliform bacteria of family Enterobacteriaceae. It is an opportunistic pathogen which previously used as an indicator bacterium along with fecal coliforms namely Escherichia coli, Citrobacter, and Enterobacter, but is now known to cause various diseases in human beings. In present study we collected 126 samples from riverine-systems and confirmed the existence of Klebsiella using the conserved sequence of mdh gene with the application of SYBR green real-time PCR, which demonstrated very high specificity and stringency in detection strategy. The Klebsiella levels in surface water were 8.28 x102 ±17, 4.76 x103 ±122, 6.0 x103±178, 9.96 x103 ±315, 1.27 x104 ±463, 2.76 x104 ±1085, cfu/100ml; associated with hydrophytes were 5.80 x104 ±2320, 2.48x104±806, 2.86x104 ±963, 1.01x104 ±249, 2.62x104 ±830, 2.46x104 ±706 cfu/10g and in sediments were in the range of 1.89 x104 ±408, 2.46 x104 ±530, 3.20 x104 ±1004, 2.71 x104 ±777, 2.82 x104 ±693 and 8.88 x104 ±3214 cfu/10 g (p<0.05) at sampling site # 1, site # 2, site # 3, site # 4, site # 5 and, site # 6, respectively. This assay could be applied in the detection and monitoring of environmental samples to check waterborne diseases and Klebsiella caused outbreaks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-20
DOI
https://doi.org/10.5281/zenodo.13367175
Primary Topic
Fecal contamination and water quality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification, Detection and Enumeration of Klebsiella based on Culture-Independent Real-Time PCR: "The Klebsiella: 'An Emerging Environmental Threats' in Riverine-Systems"

Zenodo (CERN European Organization for Nuclear Research)
Fecal contamination and water quality
article

Identification, Detection and Enumeration of Klebsiella based on Culture-Independent Real-Time PCR: "The Klebsiella: 'An Emerging Environmental Threats' in Riverine-Systems"

article en

Abstract

Klebsiella is one of the fecal coliform bacteria of family Enterobacteriaceae. It is an opportunistic pathogen which previously used as an indicator bacterium along with fecal coliforms namely Escherichia coli, Citrobacter, and Enterobacter, but is now known to cause various diseases in human beings. In present study we collected 126 samples from riverine-systems and confirmed the existence of Klebsiella using the conserved sequence of mdh gene with the application of SYBR green real-time PCR, which demonstrated very high specificity and stringency in detection strategy. The Klebsiella levels in surface water were 8.28 x102 ±17, 4.76 x103 ±122, 6.0 x103±178, 9.96 x103 ±315, 1.27 x104 ±463, 2.76 x104 ±1085, cfu/100ml; associated with hydrophytes were 5.80 x104 ±2320, 2.48x104±806, 2.86x104 ±963, 1.01x104 ±249, 2.62x104 ±830, 2.46x104 ±706 cfu/10g and in sediments were in the range of 1.89 x104 ±408, 2.46 x104 ±530, 3.20 x104 ±1004, 2.71 x104 ±777, 2.82 x104 ±693 and 8.88 x104 ±3214 cfu/10 g (p<0.05) at sampling site # 1, site # 2, site # 3, site # 4, site # 5 and, site # 6, respectively. This assay could be applied in the detection and monitoring of environmental samples to check waterborne diseases and Klebsiella caused outbreaks.

Zenodo (CERN European Organization for Nuclear Research)
Banaras Hindu University (IN)
Life in Land
Openalex Percentile: Top 69%
Fecal contamination and water quality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.