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http://krishi.icar.gov.in/jspui/handle/123456789/74415
Title: | Nickel Bioremediation by Different Wetland Macrophytes Root Associated Bacteria |
Authors: | Paritosh Kumar Ravinder Kaur Archna Suman Alpana Singh Prakash Kumar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute ICAR::Indian Agricultural Research Institute ICAR::National Institute of Abiotic Stress Management |
Published/ Complete Date: | 2017-01-01 |
Keywords: | Constructed wetland Macrophytes Plant root associated bacteria Wastewater Nickel bioremediation |
Abstract/Description: | A study was conducted at ICAR-Indian Agricultural Research Institute, New Delhi (India) to enumerate bacterial load associated with five different macrophytes viz. Typha latifolia, Phragmites karka, Acorus calamus, Arundo donax and Vetiver zizanioides maintained after monthly applications of metal solution of 5.0 ppm of nickel. The roots of macrophytes supported bacterial associations amounting to 2.25×10 7 cfu/g and of them fifty two bacterial morphotypes were isolated. Mean nickel removal efficiency of the bacterial isolates was 11.06% after 3 days with maximum of 17.98% by the bacteria isolated from Phragmites. Most efficient thirteen dominant morphotypes for Ni-bio-accumulation were identified with 16S rRNA sequencing. Bacillus were the predominant bacterial genera (53.85%) followed by Pseudomonas and Microbacter (15.38%) which had shown the nickel removal capacity of 19.78%, 27.66% and 16.90% after 3 days of incubation, respectively. However, Ni removal by Pseudomonas mendocina isolated from Vacha root was maximum (34.20%). The overall results showed that macrophytes root associated bacteria may play an important role in plant assisted Nickel bio- remediation. |
Type(s) of content: | Article |
Sponsors: | ICAR |
Language: | English |
Name of Journal: | Chemical Science Review and Letters |
Volume No.: | 6(22) |
Page Number: | 987-994 |
Name of the Division/Regional Station: | Statistical Genetics |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/74415 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Paritosh_987-994.PDF | 559.54 kB | Adobe PDF | View/Open |
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