Skip to main content

Reconstruction of Acetogenesis Pathway Using Short-Read Sequencing of Clostridium aceticum Genome

Buy Article:

Your trusted access to this article has expired.

$110.00 + tax (Refund Policy)

Clostridium aceticum is an anaerobic homoacetogen, able to reduce CO2 to multi-carbon products using the reductive acetyl-CoA pathway. This unique ability to use CO2 or CO makes the microbe a potential platform for the biotech industry. However, the development of genetically engineered homoacetogen for the large-scale production of commodity chemicals is hampered by the limited amount of their genetic and metabolic information. Here we exploited next-generation sequencing to reveal C. aceticum genome. The short-read sequencing produced 44,871,196 high quality reads with an average length of 248 bases. Following sequence trimming step, 30,256,976 reads were assembled into 12,563 contigs with 168-fold coverage and 1,971 bases in length using de Bruijn graph algorithm. Since the k-mer hash length in the algorithm is an important factor for the quality of output contigs, a window of k-mers (k-51 to k-201) was tested to obtain high quality contigs. In addition to the assembly metrics, the functional annotation of the contigs was investigated to select the k-mer optimum. Metabolic pathway mapping using the functional annotation identified the majority of central metabolic pathways, such as the glycolysis and TCA cycle. Further, these analyses elucidated the enzymes consisting of Wood–Ljungdahl pathway, in which CO2 is fixed into acetyl-CoA. Thus, the metabolic reconstruction based on the draft genome assembly provides a foundation for the functional genomics required to engineer C. aceticum.

Document Type: Research Article

Publication date: May 1, 2015

More about this publication?
  • Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content