Sequencing for Better Fuel, Chemicals

Monday, September 29, 2014 @ 02:09 PM gHale


While it may sound more like biology than manufacturing automation, but by sequencing the entire genome of the Clostridium autoethanogenum bacterium it may soon be possible to better develop fuel from waste products.

The Clostridium autoethanogenum bacterium sees use to sustainably produce fuel and chemicals from a range of raw materials, including gases derived from biomass and industrial wastes.

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Successfully sequencing Clostridium autoethanogenum, classified as a complex, class III microbe because of its many repeating units of DNA bases, has been of significant interest to the biotechnology industry.

Researchers at the Department of Energy’s Oak Ridge National Laboratory received funding from LanzaTech, a biotechnology company based in Illinois that has a carbon recycling process. LanzaTech’s gas fermentation platform uses proprietary microbes for efficiently converting carbon-rich waste gases and residues into useful fuels and chemicals.

“With the complete genomic sequence, we will have a better understanding of the microbe’s metabolism and mutations that will enable LanzaTech to make modifications to the wild-type, or naturally occurring, strain for optimizing the conversion of waste into fuel,” said ORNL’s Steve Brown, who co-authored a paper on the subject with ORNL’s Miriam Land, University of Tennessee doctoral student Sagar Utturkar and collaborating LanzaTech researchers.

“Our ORNL lab has a lot of experience sequencing genomes, and we have the analytic capability to tackle this project,” Brown said.

The research team sequenced the more than 4.3 million base pairs of DNA that make up the organism’s genome using RS-II long-read sequencing technology developed by Pacific Biosciences (PacBio).

Although long-read sequencing technologies still struggle with high error rates, they promise to advance the biotechnology industry by making it possible to sequence microorganisms with many repeating sequences, such as Clostridium autoethanogenum, within a reasonable amount of time at reasonable cost. The ORNL team performed a greater number of reads and used data algorithms to correct for errors associated with the long-read technology. The team also compared the RS-II long-read results to two short-read technologies, concluding the short-read technologies were unable to sequence the entire genome because of the bacterium’s repetitive sequences, as expected.

“In our paper we compared three generations of sequencing technologies and explained why the long-read technology was able to finish the genome,” Brown said. “Now, ORNL is independently looking at six different organisms using PacBio to compare and contrast experiences using this technology.”

The project also revealed information about the genetic history of Clostridium autoethanogenum through short DNA sequences known as CRISPR systems, which retain genetic mutations such as those created during a viral infection that subsequently pass on to future generations of a microbe. CRISPR systems are important indicators of strengths and vulnerabilities that biotechnology companies like LanzaTech look for when genetically modifying a microbe.



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