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Proteomic analysis of mussels exposed to fresh and weathered Prestige's oil
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. (Environmental Proteomics)
(Environmental Proteomics)
Stockholm University, Faculty of Science, Department of Mathematics. (Statistics)
Stockholm University, Faculty of Science, Department of Mathematics. (Statistics)
Show others and affiliations
(English)Manuscript (Other academic)
Abstract [en]

Biomonitoring
programs
that
use
mussels to assess the
water
quality
around
the
world, could
benefit
from
the
use
 of
proteomics
techniques. These
could
be
applied to obtain
protein expression
signatures
of
exposure to
pollution
that
could
be further
used
for
prediction purposes. This
would
require
that
a
combination
of
univariate
and
multivariate
 statistical
analyses
of
proteomics data
were
utilized
to
obtain
robust
models.
We
show an
application
of
this approach
on
mussels
exposed
to
fresh
fuel, and weathered
fuel
in
a
laboratory experiment
that
tried
to
mimic
the
effects of the
Prestige's
oil
spill.
A
set
of
protein
spots
were
selected
that
could
be used
to
classify
mussels exposed
to
the two
types
of
fuel
oil.
As
an
example
of the possibilities
this
approach
could offer to biomonitoring
programs, mussels were collected from ten sampling stations
along
the
NW
and
NE of the Iberian Peninsula, and their protein expression patterns monitored.

 

 

Keyword [en]
Prestige oil spill, fresh fuel, weathered fuel, mussels, two-dimensional electrophoresis (2-DE), two-way ANOVA, false discovery rate (FDR), principal components analysis (PCA)
Identifiers
URN: urn:nbn:se:su:diva-26391OAI: oai:DiVA.org:su-26391DiVA: diva2:209129
Available from: 2009-03-23 Created: 2009-03-23 Last updated: 2010-01-14Bibliographically approved
In thesis
1. Development and application of a proteomic approach to the assessment of pollution in the marine environment
Open this publication in new window or tab >>Development and application of a proteomic approach to the assessment of pollution in the marine environment
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Today, assessment of the health of coastal waters is recognized as being important for both the conservation of nature and well-being of humans. Anthropogenic pollution has been the focus of extensive research for some time and a variety of programs for the monitoring and assessment of environmental pollution have been developed. Determination of the levels of pollution in sensitive ‘sentinels’ such as mussels, allows monitoring of these levels in a given area over a prolonged period of time. Furthermore, the biological effects of pollution are reflected in a series of biomarkers, none of which provides a general picture of the sentinel’s state of health and all of which are individually specific for certain pollutants and influenced by both biotic and abiotic factors.

In an attempt to improve biomonitoring of marine pollution, we have developed two proteomic approaches here. In the first portion of the thesis, a proteomic analysis was performed on peroxisomes isolated from mussels exposed either to one of three model anthropogenic pollutants, or two different types of crude oil, or from mussels exposed to the Prestige oil spill. Application of two-dimensional electrophoresis (2-DE) provided protein expression signatures (PES) for exposure to these different pollutants.Furthermore, several individual protein components of these PES could be putatively identified.

In the second portion of this work, such analysis of subproteomes was developed further in order to improve the applicability of this approach to biomonitoring. A simple fractionation procedure in combination with liquid chromatography and 2-DE provided samples from mussels residing in different regions of a pollution gradient around the harbor of Gothenburg, as well as from mussels exposed to two types of fuel oil similar to that of the Prestige that were suitable for environmental proteomics. In addition, we constructed a model for this approach that can be cross-validated in the future and applied to assess sources of fuel oil pollution in connection with biomonitoring programs.

Place, publisher, year, edition, pages
Stockholm: Department of Biochemistry and Biophysics, Stockholm University, 2009. 58 p.
Keyword
proteomics, mussels, peroxisomes, two-dimensional electrophoresis (2-DE), difference gel electrophoresis (DIGE), bisphenol A (BPA), diallyl phthalate (DAP), 2, 2′, 4, 4′-tetrabromodiphenyl ether (PBDE-47), fuel oil, Prestige oil spill
National Category
Environmental Sciences Pharmacology and Toxicology
Research subject
Biochemistry
Identifiers
urn:nbn:se:su:diva-26150 (URN)978-91-7155-801-5 (ISBN)
Public defence
2009-04-17, Magnélisalen , Kemiska övningslaboratoriet, Svante Arrhenius väg 12A, Stockholm University, Stockholm, 14:00 (English)
Opponent
Supervisors
Available from: 2009-03-26 Created: 2009-03-10 Last updated: 2009-04-02Bibliographically approved

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