dc.contributor.author | Sanli, Kemal | |
dc.date.accessioned | 2016-05-30T11:02:20Z | |
dc.date.available | 2016-05-30T11:02:20Z | |
dc.date.issued | 2016-05-30 | |
dc.identifier.isbn | 978-91-85529-91-9 | |
dc.identifier.isbn | 978-91-85529-92-6 | |
dc.identifier.uri | http://hdl.handle.net/2077/42424 | |
dc.description.abstract | Adverse effects of anthropogenic impact on the environment have become conspicuous in the
past century and among others include the gradual increase in the global CO2 levels, the
contamination of air, soil and water by toxic chemicals, and the emergence of antimicrobial
resistance among pathogenic microbial species. Microorganisms partake in an extreme
diversity of activities in the environment, and hence, constitute the prime candidates to be
investigated in understanding of the progression and effects of the aforementioned
environmental hazard scenarios. The spectacular rise of massively parallel sequencing (next
generation sequencing, NGS) technologies in mid 2000s initiated a renaissance in microbial
ecology by allowing the in situ investigation of environmental samples at metagenome level,
largely eliminating prior laboratory culturing steps. Metagenomics has thereby been
established as a new interdisciplinary field and methodology, harmonizing the accumulated
knowledge in microbial ecology and genetics with the high-throughput environmental DNA
sequence data through the means of bioinformatics analysis resources.
One of the emerging application areas that require a comprehensive microbial
investigation is the study of the effects of toxic chemicals on biota in the environment,
namely ecotoxicology. In this PhD thesis, bioinformatics software development and microbial
ecological data analysis projects are integrated within the field of ecotoxicology. The
objective of the thesis is to implement metagenomics as a robust tool in the field of
ecotoxicology to gain both community and molecular level insights. Paper I presents
FANTOM (Functional and Taxonomic Analysis of Metagenomes), a graphical user interface
(GUI)-based metagenomic data analysis tool that provides various statistical analysis and
visualization features for biologists with limited bioinformatics experience. PACFM
(Pathway Analysis with Circos for Functional Metagenomics), another GUI-based software
tool, is presented in Paper II, and it provides researchers in metagenomics with a novel plot
and various biochemical pathway analysis features. Paper III is an exploratory study of the
marine biofilms (also known as periphython), constituting the first study to sequence the total
genomic DNA content of these microbial communities that inhabit the aquatic environment.
The metagenomic analysis of the marine biofilms revealed that Proteobacteria, Bacteroidetes
and Cyanobacteria are the most abundant organisms in these biofilm communities. In
addition, the functional repertoire within the metagenome involved signatures of anaerobic
processes including denitrification and methanogenesis, which suggests the presence of lowoxygen
zones within the micro-ecosystem formed by the marine biofilms. Paper III also
constituted the pilot study for Paper IV, where an experimental design was set up to
investigate the toxic effects of the broad spectrum antimicrobial agent, triclosan, on the
marine biofilms. High and low levels of triclosan exposure was shown to cause significant
changes in the community structure and the functioning of the marine biofilms. A sulfurbased
microbial consortium together with several algal groups were hypothesized to partake
in the detoxification of triclosan. Hence, metagenomics is shown to be a powerful research
tool in the field of ecotoxicology.
This PhD thesis presents novel software tools and applications in the field of
metagenomics, combining a wide range of paradigms from several disciplines within a
unified solution framework as an attempt to practice and transcend interdisciplinary research. | sv |
dc.language.iso | eng | sv |
dc.relation.haspart | FANTOM: Functional and taxonomic analysis of metagenomes. Sanli, K.*, Karlsson, F.*, Nookaew, I., and Nielsen, J., BMC Bioinformatics, 2011. 14(1),
38. ::doi::10.1186/1471-2105-14-38 | sv |
dc.relation.haspart | PACFM: Pathway Analysis with Circos in Functional Metagenomics. Sanli, K., Sinclair, L., Nilsson, R. H., Mardinoglu, A., and Eiler, A. Manuscript. | sv |
dc.relation.haspart | Metagenomic sequencing of marine periphyton: taxonomic and functional insights into biofilm communities. Sanli, K., Bengtsson-Palme, J., Nilsson, R. H., Kristiansson, E., Alm-Rosenblad,
M., Blanck, H., and Eriksson, K. M., Frontiers in Microbiology, 2013. 6: 1192. ::doi:: 10.3389/fmicb.2015.01192 | sv |
dc.relation.haspart | Triclosan induced community shifts point toward sulfur-based detoxification mechanisms in marine biofilms. Sanli, K., Sinclair, L., Corcoll, N., Nilsson, R. H., Johansson, C. H., Backhaus,
T., and Eiler, A. Manuscript | sv |
dc.subject | metagenomics, bioinformatics software, microbial biofilms, Next Generation Sequencing, pathway analysis, periphyton, marine biofilms, FANTOM, PACFM | sv |
dc.title | Microbial Biofilms in the Bioinformatics Era | sv |
dc.title.alternative | Application of High-Throughput DNA Sequencing Technologies in the Metagenomic Study of Marine Biofilms | sv |
dc.type | Text | swe |
dc.type.svep | Doctoral thesis | eng |
dc.gup.mail | kemalsanli1@gmail.com | sv |
dc.type.degree | Doctor of Philosophy | sv |
dc.gup.origin | University of Gothenburg. Faculty of Science | sv |
dc.gup.department | Department of Biological and Environmental Sciences ; Institutionen för biologi och miljövetenskap | sv |
dc.gup.defenceplace | 17th of June, 2016, at 10:00, in the lecture hall (Hörsalen) at the Department of Biological and Environmental Sciences, Carl Skottsbergs gata 22B, Gothenburg. | sv |
dc.gup.defencedate | 2016-06-17 | |
dc.gup.dissdb-fakultet | MNF | |