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Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes
Insecticides are the toxic substances that are used to kill insects. The use of insecticides is believed to be one of the major factors behind the increase in agricultural productivity in the 20th century. The organophosphates are now the largest and most versatile class of insecticide used and Mala...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450248/ https://www.ncbi.nlm.nih.gov/pubmed/28584447 http://dx.doi.org/10.6026/97320630013073 |
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author | Sivakumar, Subramaniam Anitha, Palanivel Ramesh, Balsubramanian Suresh, Gopal |
author_facet | Sivakumar, Subramaniam Anitha, Palanivel Ramesh, Balsubramanian Suresh, Gopal |
author_sort | Sivakumar, Subramaniam |
collection | PubMed |
description | Insecticides are the toxic substances that are used to kill insects. The use of insecticides is believed to be one of the major factors behind the increase in agricultural productivity in the 20th century. The organophosphates are now the largest and most versatile class of insecticide used and Malathion is the predominant type utilized. The accumulation of Malathion in environment is the biggest threat to the environment because of its toxicity. Malathion is lethal to beneficial insects, snails, micro crustaceans, fish, birds, amphibians, and soil microorganisms. Chronic exposure of non-diabetic farmers to organophosphorus Malathion pesticides may induce insulin resistance, which might ultimately results in diabetes mellitus. Given the potential carcinogenic risk from the pesticides there is serious need to develop remediation processes to eliminate or minimize contamination in the environment. Biodegradation could be a reliable and cost effective technique for pesticide abatement. Since today as there were no metabolic pathway predicted for the degradation of organophosphates pesticide Malathion in KEGG database or in any of the other pathway databases. Thus in the present study, an attempt has been made to predict the microbial biodegradation pathway of Malathion using bioinformatics tools. The present study predicted the degradation pathway for Malathion. The present study also identifies, Streptomyces sp. and E.coli are capable of degrading Malathion through pathway prediction system. |
format | Online Article Text |
id | pubmed-5450248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-54502482017-06-05 Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes Sivakumar, Subramaniam Anitha, Palanivel Ramesh, Balsubramanian Suresh, Gopal Bioinformation Hypothesis Insecticides are the toxic substances that are used to kill insects. The use of insecticides is believed to be one of the major factors behind the increase in agricultural productivity in the 20th century. The organophosphates are now the largest and most versatile class of insecticide used and Malathion is the predominant type utilized. The accumulation of Malathion in environment is the biggest threat to the environment because of its toxicity. Malathion is lethal to beneficial insects, snails, micro crustaceans, fish, birds, amphibians, and soil microorganisms. Chronic exposure of non-diabetic farmers to organophosphorus Malathion pesticides may induce insulin resistance, which might ultimately results in diabetes mellitus. Given the potential carcinogenic risk from the pesticides there is serious need to develop remediation processes to eliminate or minimize contamination in the environment. Biodegradation could be a reliable and cost effective technique for pesticide abatement. Since today as there were no metabolic pathway predicted for the degradation of organophosphates pesticide Malathion in KEGG database or in any of the other pathway databases. Thus in the present study, an attempt has been made to predict the microbial biodegradation pathway of Malathion using bioinformatics tools. The present study predicted the degradation pathway for Malathion. The present study also identifies, Streptomyces sp. and E.coli are capable of degrading Malathion through pathway prediction system. Biomedical Informatics 2017-03-31 /pmc/articles/PMC5450248/ /pubmed/28584447 http://dx.doi.org/10.6026/97320630013073 Text en © 2017 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Hypothesis Sivakumar, Subramaniam Anitha, Palanivel Ramesh, Balsubramanian Suresh, Gopal Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title | Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title_full | Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title_fullStr | Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title_full_unstemmed | Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title_short | Analysis of EAWAG-BBD pathway prediction system for the identification of malathion degrading microbes |
title_sort | analysis of eawag-bbd pathway prediction system for the identification of malathion degrading microbes |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450248/ https://www.ncbi.nlm.nih.gov/pubmed/28584447 http://dx.doi.org/10.6026/97320630013073 |
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