Abstract
The draft genome of Citrobacter sp. CtB7.12, isolated from termite gut, is presented here. This organism has been reported as a cellulolytic bacterium, which is biotechnologically important because it can be used as a gene donor for the ethanol and biofuel industries.
GENOME ANNOUNCEMENT
Citrobacter spp. are commonly found in water, soil, and gastrointestinal tracts of animals and humans. Recently, Citrobacter spp. have been isolated from the gut of terrestrial land slug (1), termite (2), and silkworm (3). In all of these cases, a cellulolytic activity has been recognized. Biofuel production represents a novel clean energy source that is growing quickly. Lignocellulosic biomass has been recognized as a potential low-cost source of soluble sugars used for fermentation to produce ethanol (4). However, the biomasses have to be pretreated with severe chemical compounds, increasing the economic and environmental costs. An alternative solution to this problem could be the use of bacterial cellulases. Termites have been proposed as a candidate donor due to their feeding habits. This insect can digest as much as 99% of cellulose. To achieve this, they use a wide variety of microorganisms inhabiting their gut, since these can produce and secrete an enzymatic complex involved in cellulose breakdown (4, 5).
We isolated Citrobacter sp. cellulolytic strain CtB7.12 from the gut of the Heterotermes aureus termite found in the north of Mexico. The strain shows significant cellulolytic activity in a Congo red assay and has potential biotechnological applications. The genome sequence may contribute to finding new cellulases with high enzymatic activity. Total DNA from Citrobacter sp. CtB7.12 was extracted using the NucleoSpin genomic DNA purification kit (Macherey Nagel, Düren, Germany). Illumina sequencing libraries were prepared following the vendor’s protocol, and a total of 1,987,790 reads (estimated coverage ~55×) were generated using the Illumina GAIIx platform. The assembly was performed with ABySS version 1.3.5, using a k-mer size of 49. An assembly of 5,019,613 bp in 53 contigs with lengths greater or equal to 1,000 bp was obtained with N50 and N90 values of 222,754 bp and 78,341 bp, respectively. The average contig length was 94,709 bp, giving a considerable space to search for genes. The average GC content was 53.25%. High-quality draft genomes were obtained using REAPR version 3, SSPACE version 3, and GapFiller version 1.10 (6–8) for misassembly error correction, scaffolding, and scaffold gap filling, respectively. Gene prediction was performed using GeneMark, giving a total of 4,643 protein-coding genes by intersecting all three predictions (9). The genome sequences were annotated using an adaptation from the Trinotate pipeline: Transcriptome Functional Annotation and Analysis (http://trinotate.github.io). Based on the 16S rRNA gene, Citrobacter amalonaticus was 99% identical to Citrobacter sp. strain CtB7.12. According to the Kostas Lab-ANI calculator (http://enve-omics.ce.gatech.edu/ani), the ANI (average nucleotide identity) value of Citrobacter sp. strain CtB7.12 compared to C. amalonaticus is 91.21%, which suggests that strain CtB7.12 and C. amalonaticus belong to different species.
Through the functional annotation of Citrobacter sp. CtB7.12, we identified some genes related to cellulose degradation, such as endo-1, 4-d-glucanases, cellulases, and beta-glucosidases, which could be used for enzymatic hydrolysis in a microbial pretreatment to break off cellulosic biomass.
Nucleotide sequence accession numbers.
This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession number LIFT00000000. The version described in this paper is the first version, LIFT01000000.
ACKNOWLEDGMENTS
We thank the “Unidad de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología (USMB), UNAM,” for DNA sequencing advice and bioinformatics analysis. The USMB is part of the “Laboratorio Nacional de Respuesta a Enfermedades Emergentes,” which has been created and funded by “CONACYT—Programa de Laboratorios Nacionales.” We thank Veronica Jimenez-Jacinto for preparing and submitting the sequencing data to the NCBI-SRA repository.
This work was supported by PROMEP (grant UACH-PTC-208).
Footnotes
Citation Fontes-Perez H, Olvera-García M, Chávez-Martínez A, Rodriguez-Almeida FA, Arzola-Alvarez CA, Sanchez-Flores A, Corral-Luna A. 2015. Genome sequence of Citrobacter sp. CtB7.12, isolated from the gut of the desert subterranean termite Heterotermes aureus. Genome Announc 3(6):e01290-15. doi:10.1128/genomeA.01290-15.
REFERENCES
- 1.Joynson R, Swamy A, Bou PA, Chapuis A, Ferry N. 2014. Characterization of cellulolytic activity in the gut of terrestrial land slug Arion ater: biochemical identification of targets for intensive study. Comp Biochem Physiol Part B 177–178:29–35. doi: 10.1016/j.cbpb.2014.08.003. [DOI] [PubMed] [Google Scholar]
- 2.Upadhyaya SK, Manandhar A, Mainali H, Pokhrel AR, Rijal A, Pradhan B, Koirala B. 2012. Isolation and characterization of cellulolytic bacteria from gut of termite. Rentech Symposium Compendium 1:14–18. [Google Scholar]
- 3.Anand AAP, Vennison SJ, Sankar SG, Prabhu DIG, Vasan PT, Raghuraman T, Geoffrey CJ, Vendan SE. 2010. Isolation and characterization of bacteria from the gut of Bombyx mori that degrade cellulose, xylan, pectin and starch and their impact on digestion. J Insect Sci 10:1–20. doi: 10.1673/031.010.10701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bayer A, Shoham Y, Lamed R. 2006. Cellulose-decomposing bacteria and their enzyme systems. Prokaryotes 2:578–617. doi: 10.1007/0-387-30742-7_19. [DOI] [Google Scholar]
- 5.Odelson DA, Breznak JA. 1985. Cellulase and other polymer-hydrolyzing activities of Trichomitopsis termopsidis, a symbiotic protozoan from termites. Appl Environ Microbiol 49:622–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hunt M, Kikuchi T, Sanders M, Newbold C, Berriman M, Otto TD. 2013. REAPR: a universal tool for genome assembly evaluation. Genome Biol 14:R47. doi: 10.1186/gb-2013-14-5-r47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Nadalin F, Vezzi F, Policriti A. 2012. GapFiller: a de novo assembly approach to fill the gap within paired reads. BMC Bioinformatics 13:S8. doi: 10.1186/1471-2105-13-S14-S8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Boetzer M, Henkel CV, Jansen HJ, Butler D, Pirovano W. 2011. Scaffolding pre-assembled contigs using SSPACE. BioInformatics 27:578–579 doi: 10.1093/bioinformatics/btq683. [DOI] [PubMed] [Google Scholar]
- 9.Besemer J, Lomsadze A, Borodovsky M. 2001. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes—implications for finding sequence motifs in regulatory regions. Nucleic Acids Res 29:2607–2618. [DOI] [PMC free article] [PubMed] [Google Scholar]
