Abstract
We here report the draft assembly for the genome of Pantoea sp. strain IMH, isolated from arsenic-contaminated soil in Inner Mongolia, China, with the ability to aerobically reduce arsenate to arsenite. The genome sequence will allow for the characterization of the molecular mechanisms of arsenate reduction.
GENOME ANNOUNCEMENT
The genus Pantoea comprises a number of plant pathogens (1). Generally, the pathogenicity of the genus Pantoea has been the major focus. In 2013, for the first time, the Pantoea genus was reported to reduce arsenate [As(V)] to more toxic arsenite [As(III)] and play an important role in the arsenic biogeochemical cycle (2). Pantoea sp. strain IMH was isolated from arsenic-contaminated soil in Inner Mongolia, China. Strain IMH was highly resistant to As(V) (with an MIC of 150 mM) and reduced over 90% As(V) in 36 h. Previous studies indicate that aerobic As(V) reduction is mostly regulated via chromosomal or plasmid-carried ars operons. The five-gene arsRDABC and three-gene arsRBC are the two most common types of ars operons (3). However, the genomic information for strain IMH is not fully understood (2). Therefore, we chose to sequence the genome of strain IMH to explore how arsenate reduction occurs.
The genome of strain IMH was sequenced using the Illumina HiSeq 2000 sequencing platform at the Beijing Genomics Institute (BGI) (Shenzhen, China). Two libraries containing 500 bp and 6,000 bp were constructed. Sequencing was performed with the paired-end strategy of (90, 90)-bp reads to produce 754 Mb of filtered sequences. The genome of strain IMH consists of a single chromosome ~4.09 Mb in size, with a G+C content of 54.74%. There are two scaffolds and eight contigs.
Genes were predicted from the assembled result using Glimmer 3.02 (4). Genome annotation was accomplished by analysis of protein sequences. The resulting translations were aligned with databases, including KEGG 59 (5), GO 1.419 (6), and Swiss-Prot 201206 (7). The genome contains 3,875 candidate protein-encoding genes (with a total length of 3,500,973 bp), giving a coding intensity of 85.57%. Eighty-one tRNAs and 23 rRNA operons were identified.
In particular, we analyzed the genes possibly responsible for As(V) reduction. Four pertinent genes (arsH, arsC, arsB, and arsR) involved in regulating As(V) reduction and resistance were identified in the genome. Comparison of the arsC gene of strain IMH to those of Pantoea ananatis LMG 20103 (GenBank accession no. CP001875) and Pantoea ananatis AJ13355 (accession no. AP012032) showed that the similarities were 88% and 98%, respectively. Among these Pantoea strains, only strain IMH has the arsH gene. In addition, numerous genes responsible for metal-ion binding and transport were also identified.
Nucleotide sequence accession numbers.
This whole-genome shotgun project has been deposited at GenBank under the accession number JFGT00000000. The version described in this paper is version JFGT01000000.
ACKNOWLEDGMENTS
This work was supported by the National Natural Science Foundation of China (41373123 and 21307147).
Footnotes
Citation Tian H, Jing C. 2014. Genome sequence of the aerobic arsenate-reducing bacterium Pantoea sp. strain IMH. Genome Announc. 2(2):e00267-14. doi:10.1128/genomeA.00267-14.
REFERENCES
- 1. Delétoile A, Decré D, Courant S, Passet V, Audo J, Grimont P, Arlet G, Brisse S. 2009. Phylogeny and identification of Pantoea species and typing of Pantoea agglomerans strains by multilocus gene sequencing. J. Clin. Microbiol. 47:300–310. 10.1128/JCM.01916-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Wu Q, Du J, Zhuang G, Jing C. 2013. Bacillus sp. SXB and Pantoea sp. IMH, aerobic As(V)-reducing bacteria isolated from arsenic-contaminated soil. J. Appl. Microbiol. 114:713–721. 10.1111/jam.12093 [DOI] [PubMed] [Google Scholar]
- 3. Rosen BP. 2002. Biochemistry of arsenic detoxification. FEBS Lett. 529:86–92. 10.1016/S0014-5793(02)03186-1 [DOI] [PubMed] [Google Scholar]
- 4. Delcher AL, Bratke KA, Powers EC, Salzberg SL. 2007. Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics 23:673–679. 10.1093/bioinformatics/btm009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Kanehisa M, Goto S, Hattori M, Aoki-Kinoshita KF, Itoh M, Kawashima S, Katayama T, Araki M, Hirakawa M. 2006. From genomics to chemical genomics: new developments in KEGG. Nucleic Acids Res. 34:D354–D357. 10.1093/nar/gkj102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. 2000. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25:25–29. 10.1038/75556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Magrane M, Consortium U. 2011. UniProt Knowledgebase: a hub of integrated protein data. Database 2011:bar009. 10.1093/database/bar009 [DOI] [PMC free article] [PubMed] [Google Scholar]
