Book description
The premiere two-volume reference on revelations from studying
complex microbial communities in many distinct habitats
Metagenomics is an emerging field that has changed the way
microbiologists study microorganisms. It involves the genomic analysis
of microorganisms by extraction and cloning of DNA from a group of
microorganisms, or the direct use of the purified DNA or RNA for
sequencing, which allows scientists to bypass the usual protocol of
isolating and culturing individual microbial species. This method is
now used in laboratories across the globe to study microorganism
diversity and for isolating novel medical and industrial compounds.
Handbook of Molecular Microbial Ecology is the first
comprehensive two-volume reference to cover unculturable
microorganisms in a large variety of habitats, which could not
previously have been analyzed without metagenomic methodology. It
features review articles as well as a large number of case studies,
based largely on original publications and written by international
experts. This first volume, Metagenomics and Complementary Approaches,
covers such topics as:
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Background information on DNA reassociation and use of 16 rRNA
and other DNA fingerprinting approaches
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Species designation in microbiology
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Metagenomics: Introduction to the basic tools with examples
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Consortia and databases
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Bioinformatics
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Computer-assisted analysis
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Complementary approaches-microarrays, metatranscriptomics,
metaproteomics, metabolomics, and single cell analysis
A special feature of this volume is the highlighting of the databases
and computer programs used in each study; they are listed along with
their sites in order to facilitate the computer-assisted analysis of
the vast amount of data generated by metagenomic studies.
Handbook of Molecular Microbial Ecology I is an invaluable
reference for researchers in metagenomics, microbiology, and
environmental microbiology; those working on the Human Microbiome
Project; microbial geneticists; molecular microbial ecologists; and
professionals in molecular microbiology and bioinformatics.
