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Khosla, 34, has been investigating the microbial genes that make polyketides, a class of complex molecules that fungi and bacteria use for chemical defense.
Finally, as a signature for long life we identified 116 microbial genes that significantly correlated with ageing.
For this, we calculated the correlations between microbial genes that were part of the microbial network with mouse gene expression from the second subnetwork (steps 3, 4).
Efforts to identify microbial genes that maintain infections of facultative endosymbionts are hampered by the inability to culture and manipulate these species in a free-living state.
Host switching or host jumping can often be traced to the modification of key microbial genes that facilitate the formation of particular host associations [ 29].
Reconstruction of microbial gene network In order to identify the ABx-resistant microbes or microbial genes that influence the host, a covariance network was constructed for the 1,689 microbial genes that were enriched by antibiotics in two mouse strains (Swiss Webster, C57BL6/J).
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The corn, developed by Syngenta, contains a microbial gene that causes it to produce an enzyme that breaks down corn starch into sugar, the first step toward making ethanol.
An analysis of these microbial genes showed that a type of bacterium, Fusobacterium, was abundant in the tumors although it normally is not among the more prominent species in the gut.
The microarray-based GeoChip analysis of microbial genes revealed that a methyltransferase gene, arsM, was abundant in a Bangladeshi paddy soil containing a high As level (34 mg kg-1), suggesting that DMA is produced by specific soil microbes (Lomax et al.2012).2012
A number of previous studies of overlapping microbial genes suggested that annotation errors such as misprediction of start codons, loss of termination codons as well as the misidentification of the entire open reading frames (ORFs) can influence the statistics of overlapping genes and hence their analysis [ 6, 7, 11- 15] (Table 1).
Metatranscriptome and/or metaproteome analyses can alleviate these challenges in part, by focusing on microbial taxa and genes that are actively expressed in a particular community and thus potentially contribute to nutritional ecology.
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