Microbiome Analysis of Pesticide Contaminated Soils Its Impact …
39
Fig. 2 Phylogenetic tree
4 Conclusion
The current study examined the microbiome composition in pesticides contaminated
soil. The contaminated sites were found to possess least microbial diversity, the soil
bacteria were isolated from and identified as Enterobacter cloacae using molecular
and gene sequencing study. The gene sequence was submitted to NCBI and the accession number was granted as MT126476. Our study elucidates the impact of pesticide
contamination on the presence of indigenous bacteria and further, introducing this
isolate to any bioremediation will enhance the outcome and hence can be used as a
better strategy for remediation of a polluted site.
References
Babalola OO (2003) Molecular techniques: An overview of methods for the detection of bacteria.
Afr J Biotechnol 2(12):710–713
Chen Y, Jiang Y, Huang H, Mou L, Ru J, Zhao J, Xiao S (2018) Long-term and high-concentration
heavy-metal contamination strongly influences the microbiome and functional genes in Yellow
River sediments. Sci. Total Environ. 637:1400–1412
Choi SY, Gong G, Park HS, Um Y, Sim SJ, Woo HM (2015) Extreme furfural tolerance of a soil
bacterium Enterobacter cloacae GGT036. J Biotechnol 193:11–13. https://doi.org/10.1016/j.jbi
otec.2014.11.001
Gong G, Um Y, Park TH, Woo HM (2015) Complete genome sequence of Enterobacter cloacae
GGT036: a furfural tolerant soil bacterium. J Biotechnol 193:43–44. https://doi.org/10.1016/j.jbi
otec.2014.11.012
Liu W, Wang X, Wu L, Chen M, Tu C, Luo Y et al (2012) Isolation, identification and characterization
of Bacillus amyloliquefaciens BZ-6, a bacterial isolate for enhancing oil recovery from oily sludge.
Chemosphere 87(10):1105–1110
Regar RJ, Gaur VK, Bajaj A, Tambat S, Manickam N (2019) Comparative microbiome analysis
of two different long-term pesticide contaminated soils revealed the anthropogenic influence on
functional potential of microbial communities. Sci Total Environ 681:413–423
Sayyadifar F, Morteza H, Munawar T, Jayasimha R (2012) Molecular identification of bacteria
isolated from meat sample. Int J App Biol Pharm Technol 3(4):34–39
39
Fig. 2 Phylogenetic tree
4 Conclusion
The current study examined the microbiome composition in pesticides contaminated
soil. The contaminated sites were found to possess least microbial diversity, the soil
bacteria were isolated from and identified as Enterobacter cloacae using molecular
and gene sequencing study. The gene sequence was submitted to NCBI and the accession number was granted as MT126476. Our study elucidates the impact of pesticide
contamination on the presence of indigenous bacteria and further, introducing this
isolate to any bioremediation will enhance the outcome and hence can be used as a
better strategy for remediation of a polluted site.
References
Babalola OO (2003) Molecular techniques: An overview of methods for the detection of bacteria.
Afr J Biotechnol 2(12):710–713
Chen Y, Jiang Y, Huang H, Mou L, Ru J, Zhao J, Xiao S (2018) Long-term and high-concentration
heavy-metal contamination strongly influences the microbiome and functional genes in Yellow
River sediments. Sci. Total Environ. 637:1400–1412
Choi SY, Gong G, Park HS, Um Y, Sim SJ, Woo HM (2015) Extreme furfural tolerance of a soil
bacterium Enterobacter cloacae GGT036. J Biotechnol 193:11–13. https://doi.org/10.1016/j.jbi
otec.2014.11.001
Gong G, Um Y, Park TH, Woo HM (2015) Complete genome sequence of Enterobacter cloacae
GGT036: a furfural tolerant soil bacterium. J Biotechnol 193:43–44. https://doi.org/10.1016/j.jbi
otec.2014.11.012
Liu W, Wang X, Wu L, Chen M, Tu C, Luo Y et al (2012) Isolation, identification and characterization
of Bacillus amyloliquefaciens BZ-6, a bacterial isolate for enhancing oil recovery from oily sludge.
Chemosphere 87(10):1105–1110
Regar RJ, Gaur VK, Bajaj A, Tambat S, Manickam N (2019) Comparative microbiome analysis
of two different long-term pesticide contaminated soils revealed the anthropogenic influence on
functional potential of microbial communities. Sci Total Environ 681:413–423
Sayyadifar F, Morteza H, Munawar T, Jayasimha R (2012) Molecular identification of bacteria
isolated from meat sample. Int J App Biol Pharm Technol 3(4):34–39