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Content Tagged "microbial genomics"

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January 4, 2010

GEBA project featured in NYTimes

If you want to appreciate the diversity of life on earth, you will need a microscope…. Yet scientists still know very little about our microbial planet. The genomes of only about 1,000 species of microbes have been sequenced. That leaves 99.99999 percent to go. Making matters worse, the genomes scientists have sequenced so far are… [Read More]

September 8, 2009

Microbial genomics model on GenomeWeb

Scientists have come up with a way to determine whether marine microbes are specialized to grow in nutrient-rich or -poor environments based on their genomic content, according to a feature article scheduled to appear online this week in the Proceedings of the National Academy of Science. An international research team sequenced and compared the genomes… [Read More]

September 8, 2009

Genomic model research on Huliq

Cavicchioli and his lab compared the traits of S. alaskensis‘ genome against the genome of Photobacterium angustum, a bacterium collected and sequenced from the warmer, nutrient-rich waters off Sydney, Australia. They then tested the model developed based on these two genomes to successfully predict whether several dozen bacterial samples were those that grow in nutrient-rich… [Read More]

September 8, 2009

Genomic model research on ScienceCentric

‘The method used by Cavicchioli’s group to predict bacterial habits lends credence to the idea that sequencing cultivated organisms is biased toward sequencing those that thrive in nutrient-rich conditions, even though those that get by in nutrient-poor conditions are more abundant in the environment,’ Kyrpides said. ‘Despite the number of microbial genome projects being done,… [Read More]

September 8, 2009

Genomic model research on The Medical News

With other UNSW and US colleagues, Professor Cavicchioli compared the genomes of two common ocean bacteria that employ different strategies for living: one lives in nutrient-rich waters and is fast to grow and replicate itself, and another lives in poor-nutrient waters, and grows more slowly. The findings are published in the Proceedings of the National… [Read More]

September 8, 2009

Genomic model research on Xinhua

Sampling just a few genes can reveal not only the “lifestyle” of marine microbes but of their entire environments, new research suggests. The finding means researchers may be able to predict the types of microbes that thrive in specific marine environments by sampling the genomes of just a few dominant species, according to research co-author… [Read More]

September 8, 2009

Genomic model research on Science Codex

Through a novel genomic approach detailed in the September 7 online edition and on the cover September 14 of the journal Proceedings of the National Academy of Sciences, an international team of scientists led by the University of New South Wales and the DOE JGI demonstrates how the microbial diversity of the oceans can be… [Read More]

September 8, 2009

Genomic model research on LifeSciencesWorld

Through a novel genomic approach detailed in the September 7 online edition and on the cover September 14 of the journal Proceedings of the National Academy of Sciences, an international team of scientists led by the University of New South Wales and the DOE JGI demonstrates how the microbial diversity of the oceans can be… [Read More]

September 8, 2009

Genomic model research on ScienceDaily

Through a novel genomic approach detailed in the September 7 online edition and on the cover September 14 of the journal Proceedings of the National Academy of Sciences, an international team of scientists led by the University of New South Wales and the DOE JGI demonstrates how the microbial diversity of the oceans can be… [Read More]

September 4, 2009

IMG 2.9 – now with over 5,000 genomes

IMG 2.9 now contains 5,115 genomes and 6,514,244 genes. It also includes a phylogenetic tree-based genome browser, a dotplot tool for comparison studies, tools to look at horizontal gene transfer, and Arthrobacter chlorophenolicus protein expression data. Learn more at the IMG system site. [Read More]
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