2017•Genome AnnouncementsOpen access

Genome Sequence of Pseudomonas putida Strain ASAD, an Acetylsalicylic Acid-Degrading Bacterium

Rebecca E. Parales, Rachita Navara, Rebecca Gettys, Jean Huang

Open full text 0 citations

Abstract

strain ASAD was isolated from compost because of its ability to utilize aspirin (acetylsalicylic acid) as a carbon and energy source. We report the draft genome sequence of strain ASAD, with an estimated length of 6.9 Mb. Study of this isolate will provide insight into the aspirin biodegradation pathway.

Open-access reader

About this research paper

What this paper is about

strain ASAD was isolated from compost because of its ability to utilize aspirin (acetylsalicylic acid) as a carbon and energy source. We report the draft genome sequence of strain ASAD, with an estimated length of 6.9 Mb. Study of this isolate will provide insight into the aspirin biodegradation pathway.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

strain ASAD was isolated from compost because of its ability to utilize aspirin (acetylsalicylic acid) as a carbon and energy source. We report the draft genome sequence of strain ASAD, with an estimated length of 6.9 Mb. Study of this isolate will provide insight into the aspirin biodegradation pathway.

Key concepts: Pseudomonas putida, Strain (injury), Whole genome sequencing, Bacteria, Biology, Pseudomonas, Microbiology, Biodegradation

Related papers

Back to paper searchBrowse research topicsOriginal source
Genome Sequence of Pseudomonas putida Strain ASAD, an Acetylsalicylic Acid-Degrading Bacterium — Research Paper | ScholarLens