Draft Genome Sequence of the Plant Growth–Promoting Rhizobacterium Acinetobacter radioresistens Strain SA188 Isolated from the Desert Plant Indigofera argentea
AuthorsLafi, Feras Fawzi
Bajic, Vladimir B.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Competitive Research Funds
OCRF- Special Academic Partnership
Desert Agriculture Initiative
Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2017-03-02
Print Publication Date2017-03-02
Permanent link to this recordhttp://hdl.handle.net/10754/623001
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AbstractAcinetobacter radioresistens strain SA188 is a plant endophytic bacterium, isolated from root nodules of the desert plants Indigofera spp., collected in Jizan, Saudi Arabia. Here, we report the 3.2-Mb draft genome sequence of strain SA188, highlighting characteristic pathways for plant growth–promoting activity and environmental adaptation.
CitationLafi FF, Alam I, Bisseling T, Geurts R, Bajic VB, et al. (2017) Draft Genome Sequence of the Plant Growth–Promoting Rhizobacterium Acinetobacter radioresistens Strain SA188 Isolated from the Desert Plant Indigofera argentea . Genome Announcements 5: e01708–16. Available: http://dx.doi.org/10.1128/genomea.01708-16.
SponsorsGenome sequencing was performed at the Bioscience Core Laboratory of the King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. We are grateful for the use of the Dragon and Snapdragon computer clusters at the Computational Bioscience Research Center (CBRC) of KAUST. This work was supported by a base fund research grant to H.H. from KAUST. Computational aspects of this work have been supported by the KAUST Office of Sponsored Research (OSR) under award numbers RF/1/1976-02 and FCS/1/2448-01 to V.B.B.
PublisherAmerican Society for Microbiology
CollectionsArticles; Biological and Environmental Science and Engineering (BESE) Division; Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Desert Agriculture Initiative; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
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