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Characterization of microbial commun...

Howard University., Biology.

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Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology./
Author:	Lashley, Leisel A.
Description:	109 p.
Notes:	Adviser: Sisir K. Dutta.
Contained By:	Dissertation Abstracts International70-05B.
Subject:	Agriculture, Soil Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354880
ISBN:	9781109126082

Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology.
Lashley, Leisel A.

Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology. - 109 p.

Adviser: Sisir K. Dutta.

Thesis (Ph.D.)--Howard University, 2009.

The knowledge regarding characterization of PCB dechlorinating microbial community of the extremely high PCB-contaminated Ralston Street Sewage Lagoon TSCA site in Gary, Indiana and the residual paper mills along the Kalamazoo floodplain Superfund site is substantially infinitesimal. Therefore, effective PCB-dechlorinating microbes Catonella sp. and Paenibacillus alginolyticus in these environmental "toxic" reservoirs (in alfalfa rhizospheres), would provide the needed alternative bioremedial strategy. Soil samples from control and experimental PCB-contaminated field sites were evaluated for a comparative assessment to attain the phylotypes of the variant microbial communities in the presence and absence of alfalfa. Recent molecular applications in 16S rRNA microbial community profiling refer to T-RFLP (Terminal Restriction Fragment Length Polymorphism) as a high-throughput technique, where molecular approaches having the least amount of environmental disruption and hazard, yield swift, accurate results with more identifiable species. Purified fluorescently-labeled amplicons from PCR reactions were digested with diagnostic restriction enzymes in separate reactions to distinguish representatives of the total bacterial community. A CEQ 8000 Genetic Analyzer was used to identify fragments for community structure analysis. The Ribosomal Database Project (RDP) was used for the 16S rRNA comparative microbial community designations, identifying the specific phyla Actinobacteria, Bacteroidetes, Deinococcus/Thermus, Firmicutes, Proteobacteria, and more. Use of restriction enzymes, Hha, MspI and RsaI produced the maximum number of peaks of varying fragment sizes (lengths in base pairs). GC-MS analyses show that PCB-degrading microbes in high PCB sewage sludge are enhanced by alfalfa plant. The expected environmental benefit would be to use the modified T-RFLP profiles to indicate the most effective PCB dechlorinator(s), while capturing two consequential commodities, time and ecological safety.

ISBN: 9781109126082Subjects--Topical Terms:

1017824
Agriculture, Soil Science.

Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology.
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020 $a 9781109126082
035 $a (UMI)AAI3354880
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040 $a UMI $c UMI
100 1 $a Lashley, Leisel A. $3 1022436
245 1 0 $a Characterization of microbial community structures in PCB-contaminated soils and in alfalfa rhizospheres using high throughput 16S rDNA T-RFLP technology.
300 $a 109 p.
500 $a Adviser: Sisir K. Dutta.
500 $a Source: Dissertation Abstracts International, Volume: 70-05, Section: B, page: 2714.
502 $a Thesis (Ph.D.)--Howard University, 2009.
520 $a The knowledge regarding characterization of PCB dechlorinating microbial community of the extremely high PCB-contaminated Ralston Street Sewage Lagoon TSCA site in Gary, Indiana and the residual paper mills along the Kalamazoo floodplain Superfund site is substantially infinitesimal. Therefore, effective PCB-dechlorinating microbes Catonella sp. and Paenibacillus alginolyticus in these environmental "toxic" reservoirs (in alfalfa rhizospheres), would provide the needed alternative bioremedial strategy. Soil samples from control and experimental PCB-contaminated field sites were evaluated for a comparative assessment to attain the phylotypes of the variant microbial communities in the presence and absence of alfalfa. Recent molecular applications in 16S rRNA microbial community profiling refer to T-RFLP (Terminal Restriction Fragment Length Polymorphism) as a high-throughput technique, where molecular approaches having the least amount of environmental disruption and hazard, yield swift, accurate results with more identifiable species. Purified fluorescently-labeled amplicons from PCR reactions were digested with diagnostic restriction enzymes in separate reactions to distinguish representatives of the total bacterial community. A CEQ 8000 Genetic Analyzer was used to identify fragments for community structure analysis. The Ribosomal Database Project (RDP) was used for the 16S rRNA comparative microbial community designations, identifying the specific phyla Actinobacteria, Bacteroidetes, Deinococcus/Thermus, Firmicutes, Proteobacteria, and more. Use of restriction enzymes, Hha, MspI and RsaI produced the maximum number of peaks of varying fragment sizes (lengths in base pairs). GC-MS analyses show that PCB-degrading microbes in high PCB sewage sludge are enhanced by alfalfa plant. The expected environmental benefit would be to use the modified T-RFLP profiles to indicate the most effective PCB dechlorinator(s), while capturing two consequential commodities, time and ecological safety.
590 $a School code: 0088.
650 4 $a Agriculture, Soil Science. $3 1017824
650 4 $a Biology, Molecular. $3 1017719
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710 2 $a Howard University. $b Biology. $3 1022435
773 0 $t Dissertation Abstracts International $g 70-05B.
790 $a 0088
790 1 0 $a Ampy, Franklin $e committee member
790 1 0 $a Dutta, Sisir K., $e advisor
790 1 0 $a Kassim, Kunle $e committee member
790 1 0 $a Martin, Phyllis $e committee member
790 1 0 $a Mischke, Sue $e committee member
790 1 0 $a Tharakan, John $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354880