AIMS (Automated Identification System For Microbial Populations) is an EU MAST III project that w... more AIMS (Automated Identification System For Microbial Populations) is an EU MAST III project that will develop, test and apply analytical procedures to identify and characterise phytoplankton using in situ hybridisation and flow cytometry coupled to artificial neural networks (ANN). Ribosomal RNA sequences, especially the 18S rRNA, will be used to develop specific oligonucleotide probes for detecting different groups, genera and species of algae for confirmation of the species identification made with ANNs. 18S rRNA sequences retrieved from GenBank were added to unpublished sequences from nano- and picoplankton taxa to build up an algal sequence database. Sequence data were analysed using the ARB program to find unique regions for designing specific probes. Oligonucleotides complementary to these sites were labelled with fluorochromes or with enzymes and hybridised to different algae or the PCR products of their 18S rRNA gene for subsequent analysis using chemiluminescent detection or...
ABSTRACT This is an updated version of Medlin, Groben & Valentin (2002) with the same tit... more ABSTRACT This is an updated version of Medlin, Groben & Valentin (2002) with the same title and replaces that version.
AIMS (Automated Identification System For Microbial Populations) is an EU MAST III project that w... more AIMS (Automated Identification System For Microbial Populations) is an EU MAST III project that will develop, test and apply analytical procedures to identify and characterise phytoplankton using in situ hybridisation and flow cytometry coupled to artificial neural networks (ANN). Ribosomal RNA sequences, especially the 18S rRNA, will be used to develop specific oligonucleotide probes for detecting different groups, genera and species of algae for confirmation of the species identification made with ANNs. 18S rRNA sequences retrieved from GenBank were added to unpublished sequences from nano- and picoplankton taxa to build up an algal sequence database. Sequence data were analysed using the ARB program to find unique regions for designing specific probes. Oligonucleotides complementary to these sites were labelled with fluorochromes or with enzymes and hybridised to different algae or the PCR products of their 18S rRNA gene for subsequent analysis using chemiluminescent detection or...
ABSTRACT This is an updated version of Medlin, Groben & Valentin (2002) with the same tit... more ABSTRACT This is an updated version of Medlin, Groben & Valentin (2002) with the same title and replaces that version.
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