dc.contributor.author |
Górska, Anna |
|
dc.date.accessioned |
2018-08-22T13:11:53Z |
|
dc.date.available |
2018-08-22T13:11:53Z |
|
dc.date.issued |
2018-08-14 |
|
dc.identifier.other |
510357172 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/83807 |
|
dc.identifier.uri |
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838074 |
de_DE |
dc.identifier.uri |
http://dx.doi.org/10.15496/publikation-25197 |
|
dc.description.abstract |
Antibiotics are widely used in all sorts of the medical
procedures. Without them, modern medical practice is not
possible. As much as they are inevitable, they have severe adverse
effects in promoting the antibiotic resistance. Each antibiotic
therapy has a profound impact on the human gut. Firstly
antibiotics select resistant bacteria what results in rapid changes
of the taxonomical composition of the human gut. Secondly,
the antibiotic pressure prompts the horizontal gene transfer
including transduction that is intermediated by the phages, what
advances spread of the resistance. Although the taxonomical
composition restores after a month from the therapy, the bacteria
get enriched with the genes conferring resistance to antibiotics.
We have analyzed changes in the microbiome and phageome of
the two people throughout the antibiotic therapy and subsequent
recovery time. Analysis of the phage genomes is bioinformatically
tricky as phages have complex genomic structures and there
are no reliable reference databases. Therefore, we developed
a novel comprehensive pipeline for the time-series analysis of
the metagenomic datasets focusing on the function and changes
in the phage sequences. We observed the phages respond to
the antibiotic therapy, and are enriched with antibiotic-resistant
genes. |
en |
dc.language.iso |
en |
de_DE |
dc.publisher |
Universität Tübingen |
de_DE |
dc.rights |
ubt-podok |
de_DE |
dc.rights.uri |
http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de |
de_DE |
dc.rights.uri |
http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en |
en |
dc.subject.classification |
Hochleistungsrechnen |
de_DE |
dc.subject.ddc |
000 |
de_DE |
dc.subject.ddc |
004 |
de_DE |
dc.title |
Dynamics of the human gut phageome during the antibiotics therapy |
en |
dc.type |
ConferencePaper |
de_DE |
utue.publikation.fachbereich |
Zentrum für Datenverarbeitung |
de_DE |
utue.publikation.fakultaet |
7 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |