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MIDI-CHIP

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MIDI-CHIP
MIDI-CHIP
Co-ordinator
Dr. Annick Wilmotte
CIP - Institute of Chemistry B6
University of Liège
B-4000 Liège, Belgium
Tel: + 32 4 366 38 56
Fax: + 32 4 366 33 64
Design and testing of DNA microarrays to monitor microbial
diversity with adequate biodiversity indexes, using cyanobacteria in
freshwater as a model system
[email protected]
LUXEMBOURG
Centre de Recherche Public Gabriel Lippmann:
Project Managers and Participating Organisations
Consiglio Nazionale delle Ricerche
Instituto di Tecnologie Biomediche
(CNR-ITB)
Via Fratelli Cervi 93
I-20090 Segrate (MI)
Italy
Contact: Dr. Gianluca De Bellis
[email protected]
Finnish Environment Institute (SYKE)
Mechelininkatu 34A
PO Box 140
FIN-00251 Helsinki
Finland
Contact: Dr. Pirjo Kuuppo
[email protected]
Azienda Multiservizi Imolese - AMI SpA
Via Casalegno, 1
I-40026 Imola
Italy
Contact: Dr. Giovanni Tedioli
[email protected]
Centre de Recherche Public - Gabriel Lippmann
Cellule de Recherche en Environnement et
Biotechnologies
162a, avenue de la Faïencerie
L-1511 Luxembourg
Grand Duché de Luxembourg
Contact: Dr. Lucien Hoffmann
[email protected]
Department of Applied Chemistry and
Microbiology - University of Helsinki
P.O. Box 56, Biocenter Viikki
FIN-00014 Helsinki University
Finland
Contact: Prof. Kaarina Sivonen
[email protected]
Consiglio Nazionale delle Ricerche
Istituto per lo Studio degli Ecosistemi
Sezione di Firenze (CNR-ISE)
Piazzale delle Cascine 28
I-50144 Firenze
Italy
Contact: Dr. Stefano Ventura
[email protected]
PISCES Conservation Ltd
IRC House, The Square
Pennington, Lymington
Hants SO41 8GN
United Kingdom
Contact: Dr. Peter Henderson
[email protected]
Department of Botany
University of South Bohemia
Branišovská 31
CZ-37005 Ceské Budejovice
Czech Republic
Contact: Prof. Jirí Komárek
[email protected]
Web-Site: http://www.itba.mi.cnr.it/midi-chip
Science Officer: Dr Martin Sharman
Research DG (Environment) Biodiversity and Global Change
EC, Rue de la Loi 200 (SDME 4-75)
B-1049 Brussels, Belgium
Fax: +32 2 296 05 88
Phone: +32 2 295 97 98
[email protected]
Sampling, Isolation, Enumeration
and Microscopic Identification
Esch-sur-Sûre Lake (Luxembourg)
Esch-sur-Sûre Lake
FINLAND
UNITED KINGDOM
University of Helsinki:
Molecular Analysis and Isolation
PISCES Conservation Ltd:
Finnish Environment Institute
Software and Databases
(FEI):
Sampling and Enumeration
BELGIUM
Tuusulanjärvi Lake
University of Liège (ULG):
Molecular Analysis
CZECH REPUBLIC
University of South Bohemia:
Microscopic Identification
ITALY
Consiglio Nazionale delle Ricerce (CNR-ITB):
Microarray Design
Consiglio Nazionale delle Ricerce (CNR-ISE):
Isolation and Molecular Analysis
Azienda Multiservizi Imolese AMI SpA:
Sampling
Bubano Basin
Cyanobacterial bloom (Esch-sur-Sûre Lake)
In order to be protected biodiversity it must be measured. For cyanobacteria, the traditional morphological measures of
biodiversity are unsatisfactory.
A new approach utilises molecular markers (like SSU rRNA) to define taxa on the basis of phylogeny. In freshwater ecosystems
huge populations of cyanobacteria can occur. These blooms may release toxins that make the water poisonous. A second part of
the study is to compare the temporal dynamics of biodiversity in both natural and disturbed lakes. This comparative analysis
requires the use of ecological indexes to summarise the diversity of the samples and allow inferences about the ecosystem to be
made.
Duration: 1st April 2000 to 31th July 2003
Project funded by the European Commission
Research Directorate-General
Contract N° EVK2
EVK2--CT1999
CT1999--00026
To advance knowledge of microbial biodiversity - improving established techniques - test innovative DNA microarrays - develop software to calculate diversity indices
Molecular biodiversity
sampling
Sampling
From three lakes, combined water column samples are taken bewteen 0 to 2
meters. Chemical analysis is undertaken and a Lugol fixed sample prepared for
cyanobacteria counting. Further, for morphological studies to describe the
cyanobacterial taxa present and to create isolate cultures, formalin fixed and
natural samples are collected with a 10 µm mesh plankton net.
The objectives are to measure the molecular biodiversity of cyanobacteria using the rDNA operon
and to follow cyanobacterial population dynamics for 2 years in lakes in Finland, Luxembourg, and
Italy.
Alternative molecular markers will be tested on isolated cyanobacterial strains and one or two of
these markers selected to measure genotypic diversity in samples from the participating countries.
An in situ hybridization sample is prepared by mixing a concentrated sample
with ethanol. Volumes from 100 to 500ml are filtered on 0.45µm pore size
membranes, put in lysis buffer and immediately frozen at –20°C. The frozen
samples are sent to partners working on molecular analysis for DNA
extraction.
morphological
biodiversity
sequences
in situ
hybridization
molecular
biodiversity
oligonucleotides
DNA
microarrays
DNA microarray
The microarray will be tested on natural samples. After testing, new sets of
oligonucleotides including interesting regions for selected markers and
polymorphic regions for the new rRNA sequences will be selected and included
in the final version of the microarray.
biodiversity
indices
Morphological biodiversity
The objectives are to carry out and improve identification and quantification of cyanobacterial
morphotypes. Such techniques are routinely used by water companies and environmental agencies
in Europe. It is cheap and quite fast, but plagued by problems linked to morphological variability
and the skill levels and experience of the observer. Incorrect identifications are probably frequent
and cause ecological, biogeographical and toxicological confusion. This study is a unique
opportunity for a phenotypic and genotypic study of cyanobacterial diversity, to critically assess the
complementarity of techniques.
Biodiversity indices
Computer software has been developed to analyse data collected
by a variety of bacteriological and molecular biological
techniques to calculate microbial diversity. Suitable diversity
indices have been identified for cyanobacteria in freshwater
lakes. A database has been built to hold information on sample
collection, environmental conditions and the results of
morphological and molecular analyses.
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