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Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification
Chironomid larvae that inhabit in aquatic sediments play an important role as vector for bacterial pathogens. Its life cycle consists of four stages i.e. eggs, larvae, pupae and adult. In the present study we identified bacterial species associated with whole larvae of chironomids from 11 lake sedim...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342978/ https://www.ncbi.nlm.nih.gov/pubmed/28316932 http://dx.doi.org/10.1016/j.gdata.2017.03.001 |
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author | Kuncham, Ramprasad Sivaprakasam, Thiyagarajan Puneeth Kumar, R Sreenath, P Nayak, Ravi Thayumanavan, Tha. Subba Reddy, Gopireddy V. |
author_facet | Kuncham, Ramprasad Sivaprakasam, Thiyagarajan Puneeth Kumar, R Sreenath, P Nayak, Ravi Thayumanavan, Tha. Subba Reddy, Gopireddy V. |
author_sort | Kuncham, Ramprasad |
collection | PubMed |
description | Chironomid larvae that inhabit in aquatic sediments play an important role as vector for bacterial pathogens. Its life cycle consists of four stages i.e. eggs, larvae, pupae and adult. In the present study we identified bacterial species associated with whole larvae of chironomids from 11 lake sediments of Bangalore region using 16s rRNA gene Sanger sequencing. We found that larvae from all lake sediments associated with bacterial species which include key pathogens. Totally we identified 65 bacterial isolates and obtained GenBank accession numbers (KX980423 - KX980487). Phylogenetic tree constructed using MEGA 7 software and tree analysis highlight the predominant bacterial community associated with larvae which include Enterobacteriaceae (43.08%; 28 isolates) and Aeromonas (24.62%; 16 isolates), Shewanella, Delftia, Bacillus (6.15%; 4 isolates each), Pseudomonas (4.62%; 3 isolates) and Exiguobacterium (3.08%; 2 isolates). Current findings state that among bacterial population Aeromonas, Enterobacter and Escherichia with serotypes are commonly associated with larvae in maximum lake points. In other hand Vibrio, Pseudomonas, Klebsiella, Shigella, Bacillus, and other bacterial species were identified moderately in all lakes. Interestingly, we identified first time Shigella Gram negative, rod shaped pathogenic organism of Enterobacteriaceae and Rheinheimera Gram negative, rod shaped organism associating chironomid larvae. |
format | Online Article Text |
id | pubmed-5342978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53429782017-03-17 Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification Kuncham, Ramprasad Sivaprakasam, Thiyagarajan Puneeth Kumar, R Sreenath, P Nayak, Ravi Thayumanavan, Tha. Subba Reddy, Gopireddy V. Genom Data Regular Article Chironomid larvae that inhabit in aquatic sediments play an important role as vector for bacterial pathogens. Its life cycle consists of four stages i.e. eggs, larvae, pupae and adult. In the present study we identified bacterial species associated with whole larvae of chironomids from 11 lake sediments of Bangalore region using 16s rRNA gene Sanger sequencing. We found that larvae from all lake sediments associated with bacterial species which include key pathogens. Totally we identified 65 bacterial isolates and obtained GenBank accession numbers (KX980423 - KX980487). Phylogenetic tree constructed using MEGA 7 software and tree analysis highlight the predominant bacterial community associated with larvae which include Enterobacteriaceae (43.08%; 28 isolates) and Aeromonas (24.62%; 16 isolates), Shewanella, Delftia, Bacillus (6.15%; 4 isolates each), Pseudomonas (4.62%; 3 isolates) and Exiguobacterium (3.08%; 2 isolates). Current findings state that among bacterial population Aeromonas, Enterobacter and Escherichia with serotypes are commonly associated with larvae in maximum lake points. In other hand Vibrio, Pseudomonas, Klebsiella, Shigella, Bacillus, and other bacterial species were identified moderately in all lakes. Interestingly, we identified first time Shigella Gram negative, rod shaped pathogenic organism of Enterobacteriaceae and Rheinheimera Gram negative, rod shaped organism associating chironomid larvae. Elsevier 2017-03-03 /pmc/articles/PMC5342978/ /pubmed/28316932 http://dx.doi.org/10.1016/j.gdata.2017.03.001 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Kuncham, Ramprasad Sivaprakasam, Thiyagarajan Puneeth Kumar, R Sreenath, P Nayak, Ravi Thayumanavan, Tha. Subba Reddy, Gopireddy V. Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title | Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title_full | Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title_fullStr | Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title_full_unstemmed | Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title_short | Bacterial fauna associating with chironomid larvae from lakes of Bengaluru city, India - A 16s rRNA gene based identification |
title_sort | bacterial fauna associating with chironomid larvae from lakes of bengaluru city, india - a 16s rrna gene based identification |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342978/ https://www.ncbi.nlm.nih.gov/pubmed/28316932 http://dx.doi.org/10.1016/j.gdata.2017.03.001 |
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