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Novel bacterial clade reveals origin of form I Rubisco
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Genome-sequenced bacterial collection from sorghum epicuticular wax
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Cytochromes P450 involved in bacterial RiPP biosyntheses.
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Plant myo-inositol transport influences bacterial colonization phenotypes
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Two decades of bacterial ecology and evolution in a freshwater lake
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Exploring and expanding the natural chemical space of bacterial diterpenes
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Leo Baumgart
… Matthew J. Blow et al. "Persistence and plasticity in bacterial gene regulation." Nature methods 18, no. 12 … Leo, William Mather, and Jeff Hasty. "Synchronized DNA cycling across a bacterial population." Nature genetics 49, … platform for long-term monitoring of algae in a dynamic environment." ACS synthetic biology 5, no. 1 (2016): 8-14. …
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Cultivating Symbiotic Antarctic Microbes
… trove” of unknown microbes that play critical roles in environmental processes (related to interactions of … with the humans and the biosphere), including the global carbon cycle. The JGI is sequencing large numbers of … and microbial communities that contribute to carbon cycling, and is interested in understanding the genomic …
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JGI Earth Month: The Unusual Metabolism That Helps Plants Withstand Drought
… — helps plants that have it lose less water in a hot, dry environment. Figuring out how plants evolved to deal with … are open, it’s the same pore in the leaf through which carbon dioxide enters the leaf for photosynthesis.  ALISON:  … light and air — in particular, the part of the air that’s carbon dioxide. KAROLINA: When plants get really hot or dry, …
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Toward More Reproducible, Reusable Stable Isotope Probing Experiments
… are active, and which microbes are eating what,  in the environment.  This distinction — between presence and … a modified version of a specific chemical, where ordinary Carbon-12 atoms are swapped for the heavier, non-radioactive isotope Carbon-13, researchers can then safely follow the path of …
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Experimental Evolution of Extreme Resistance to Ionizing Radiation in Escherichia coli after 50 Cycles of Selection.
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Lessons from Two Design–Build–Test–Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning
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