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Complete genome sequence of Alicyclobacillus acidocaldarius type strain (104-IA).

Konstantinos Mavromatis | Johannes Sikorski | Alla Lapidus | Tijana Glavina Del Rio | Alex Copeland | Hope Tice | Jan-Fang Cheng | Susan Lucas | Feng Chen | Matt Nolan | David Bruce | Lynne Goodwin | Sam Pitluck | Natalia Ivanova | Galina Ovchinnikova | Amrita Pati | Amy Chen | Krishna Palaniappan | Miriam Land | Loren Hauser | Yun-Juan Chang | Cynthia D Jeffries | Patrick Chain | Linda Meincke | David Sims | Olga Chertkov | Cliff Han | Thomas Brettin | John C Detter | Claudia Wahrenburg | Manfred Rohde | Rüdiger Pukall | Markus Göker | Jim Bristow | Jonathan A Eisen | Victor Markowitz | Philip Hugenholtz | Hans-Peter Klenk | Nikos C Kyrpides
Standards in genomic sciences | 2010

Alicyclobacillus acidocaldarius (Darland and Brock 1971) is the type species of the larger of the two genera in the bacillal family 'Alicyclobacillaceae'. A. acidocaldarius is a free-living and non-pathogenic organism, but may also be associated with food and fruit spoilage. Due to its acidophilic nature, several enzymes from this species have since long been subjected to detailed molecular and biochemical studies. Here we describe the features of this organism, together with the complete genome sequence and annotation. This is the first completed genome sequence of the family 'Alicyclobacillaceae'. The 3,205,686 bp long genome (chromosome and three plasmids) with its 3,153 protein-coding and 82 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Pubmed ID: 21304673

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DOE Joint Genome Institute (tool)

RRID:SCR_003045

Institute to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. The facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges.

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