Here, we describe the draft genome sequences of three strains of Citrobacter isolated from feces of preterm neonates with suspected sepsis. Strains P106E PI and P079F I were Citrobacter freundii. Strain P080C CL represents the first draft genome sequence of Citrobacter murliniae.
ABSTRACT
Here, we describe the draft genome sequences of three strains of Citrobacter isolated from feces of preterm neonates with suspected sepsis. Strains P106E PI and P079F I were Citrobacter freundii. Strain P080C CL represents the first draft genome sequence of Citrobacter murliniae.
ANNOUNCEMENT
Species of the genus Citrobacter are considered members of the human gut microbiota and are opportunistic pathogens in a range of nosocomial infections (1). Worldwide, they are associated with neonatal sepsis in a subset of infants, and multidrug-resistant strains are being detected with increasing frequency (2–6).
Fecal samples were collected from three preterm neonates with suspected sepsis. Briefly, after storage at −80°C, fecal samples were diluted 1:10 in TBT buffer (100 mM Tris/HCl [pH 8.0], 100 mM NaCl, and 10 mM MgCl2 · 6H2O) and plated onto MacConkey agar no. 3 and incubated overnight at 37°C to isolate lactose-positive (pink) colonies (7). Details for the sources of the strains described here can be found in Table 1. Phenotypic testing (API 20E) identified the strains as Citrobacter sp. DNA was extracted using a phenol-chloroform method described fully by Kiu et al. (8) from overnight cultures of strains and sequenced using the 96-plex Illumina HiSeq 2500 platform to generate 125-bp paired-end reads (9). Raw data provided by the sequencing center were checked using FastQC v0.11.4 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/); no adapter trimming was required, and reads had an average Phred score of >25. MetaPhlAn2.6 (10) was used to identify the closest relatives of strains, leading to a reference-based (Citrobacter freundii complex strain MGH104; Assembly accession no. GCA_001034485) assembly being produced by BugBuilder v1.0.3b1 (default settings for Illumina assembly) (11). Summary statistics for the genome sequences are given in Table 1, with completeness (99.9, 99.9, and 100%, respectively) determined using CheckM v1.0.13 (12). Genomes were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (13). BLASTP analysis of the proteomes of the three strains against Comprehensive Antibiotic Resistance Database (CARD) data v3.0.1 (https://card.mcmaster.ca/latest/data) (14) using the recommended bit score cutoffs for strict matches (gene dependent) showed the strains to encode a range of antibiotic resistance determinant homologs, with two strains encoding β-lactamases and one encoding PmrF, which is linked to colistin resistance (Fig. 1A).
TABLE 1.
Clinical information and genome sequence statistics for the three Citrobacter strains
Strain | Source of feces | Genome information |
|||||||
---|---|---|---|---|---|---|---|---|---|
No. of reads | Size (bp) | No. of contigs | Coverage (×) | N50 (bp) | No. of CDSa | No. of tRNAs | G+C content (%) | ||
P079F I | 12-day-old male; Caesarean section (gestational age, 30 wks); wt, 1,544 g | 989,778 | 5,273,335 | 64 | 47 | 261,533 | 5,056 | 71 | 51.8 |
P080C CL | 12-day-old male; vaginal delivery (gestational age, 25 wks, 5 days); wt, 831 g | 1,132,580 | 5,024,923 | 59 | 56 | 260,081 | 4,647 | 69 | 50.6 |
P106E PI | 10-day-old female; vaginal delivery (gestational age, 30 wks, 4 days); wt, 1,402 g | 1,149,416 | 5,139,193 | 106 | 56 | 178,284 | 4,840 | 72 | 51.3 |
CDS, coding sequences.
FIG 1.
(A) Antibiotic resistance determinant homologs found in the genomes of the three Citrobacter strains recovered from the feces of preterm neonates. Antibiotic Resistance Ontology (ARO) annotations were retrieved from Comprehensive Antibiotic Resistance Database (CARD) matches, with only those homologs that gave a strict match with CARD reference sequences based on CARD-recommended bit score cutoffs (gene dependent) for BLASTP analyses included in the figure (black). White, no homologous match. (B) Heatmap showing ANI values obtained with FastANI (15) for representatives of the genus Citrobacter and the three neonate strains.
FastANI (15) was used to determine the average nucleotide identity (ANI) of the genomes against that of the type strain, NCTC 9750T, of C. freundii (Assembly accession no. GCA_900635425). P106E PI and P079F I were confirmed to be Citrobacter freundii (98.6% and 98.7% ANI, respectively) (16–18). Multilocus sequence typing showed P079F I to be sequence type 311 (ST311) and P106E PI to be ST95. Strain P080C CL was assigned as a Citrobacter sp. by MetaPhlAn2.6, so its 16S rRNA gene sequence was identified within the whole-genome sequence using RNAmmer v1.2 (19) and compared against 16S rRNA gene sequences available at EzBioCloud (https://www.ezbiocloud.net/) (20). It shared 100% similarity with Citrobacter murliniae CDC2970-59T. To determine whether P080C CL represented a strain of C. murliniae, sequence reads deposited for the type strain, CIP 104556 (1), were downloaded from the Sequence Read Archive (accession no. ERR664250) and assembled using SPAdes v3.11.1 (default settings) (21) for inclusion in ANI analyses (Fig. 1B). Strain P080C CL shared 99.3% ANI with C. murliniae CIP 104556T and is therefore a representative and first available draft genome sequence of this species (16–18).
Data availability.
These whole-genome shotgun projects have been deposited in DDBJ/ENA/GenBank under the accession no. QFTZ00000000 (P079F I), QFVP00000000 (P080C CL), and QFTQ00000000 (P106E PI). Raw data have been deposited under accession no. SRR9048465, SRR9048466, and SRR9048464, respectively. The versions described in this paper are the first versions, QFTZ01000000, QFVP01000000, and QFTQ01000000, respectively.
ACKNOWLEDGMENTS
T.C.B. was funded by a University of Westminster Ph.D. studentship and by a Research Visit Grant from the Microbiology Society (grant RVG16/3). This work was funded via a Wellcome Trust Investigator Award to L.J.H. (100/974/C/13/Z), an Institute Strategic Program grant for Gut Health and Food Safety (BB/J004529/1), a BBSRC Institute Strategic Program Gut Microbes and Health grant (BB/R012490/1) and its constituent project BBS/E/F/000PR10353 (to L.J.H.), and by a BBSRC Norwich Research Park Bioscience Doctoral Training Grant (BB/M011216/1; supervisor, L.J.H.; student, C.A.-G.).
This work used the computing resources of the UK Medical Bioinformatics partnership (UK Med-Bio), which was supported by the Medical Research Council (grant MR/L01632X/1), and those of CLIMB (22).
This publication made use of the Citrobacter freundii MLST website (https://pubmlst.org/cfreundii/), sited at the University of Oxford (23) and accessed 16 April 2019.
L.H. is a member of the ESCMID Study Group for Host and Microbiota Interaction (https://www.escmid.org/research_projects/study_groups/host_and_microbiota_interaction/).
REFERENCES
- 1.Clermont D, Motreff L, Passet V, Fernandez J-C, Bizet C, Brisse S. 2015. Multilocus sequence analysis of the genus Citrobacter and description of Citrobacter pasteurii sp. nov. Int J Syst Evol Microbiol 65:1486–1490. doi: 10.1099/ijs.0.000122. [DOI] [PubMed] [Google Scholar]
- 2.Bandyopadhyay T, Kumar A, Saili A, Randhawa VS. 2018. Distribution, antimicrobial resistance and predictors of mortality in neonatal sepsis. J Neonatal Perinatal Med 11:145–153. doi: 10.3233/NPM-1765. [DOI] [PubMed] [Google Scholar]
- 3.Bae JY, Kang CK, Choi SJ, Lee E, Choe PG, Park WB, Kim NJ, Kim EC, Oh MD. 2018. Sudden deaths of neonates receiving intravenous infusion of lipid emulsion contaminated with Citrobacter freundii. J Korean Med Sci 33:e97. doi: 10.3346/jkms.2018.33.e97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Obeng-Nkrumah N, Labi A-K, Addison NO, Labi JEM, Awuah-Mensah G. 2016. Trends in paediatric and adult bloodstream infections at a Ghanaian referral hospital: a retrospective study. Ann Clin Microbiol Antimicrob 15:49. doi: 10.1186/s12941-016-0163-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Stoesser N, Sheppard AE, Shakya M, Sthapit B, Thorson S, Giess A, Kelly D, Pollard AJ, Peto TE, Walker AS, Crook DW. 2015. Dynamics of MDR Enterobacter cloacae outbreaks in a neonatal unit in Nepal: insights using wider sampling frames and next-generation sequencing. J Antimicrob Chemother 70:1008–1015. doi: 10.1093/jac/dku521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Arana DM, Ortega A, González-Barberá E, Lara N, Bautista V, Gómez-Ruíz D, Sáez D, Fernández-Romero S, Aracil B, Pérez-Vázquez M, Campos J, Oteo J, Spanish Antibiotic Resistance Surveillance Programme Collaborating Group . 2017. Carbapenem-resistant Citrobacter spp. isolated in Spain from 2013 to 2015 produced a variety of carbapenemases including VIM-1, OXA-48, KPC-2, NDM-1 and VIM-2. J Antimicrob Chemother 72:3283–3287. doi: 10.1093/jac/dkx325. [DOI] [PubMed] [Google Scholar]
- 7.Chen Y, Brook TC, Alcon-Giner C, Clarke P, Hall LJ, Hoyles L. 2019. Draft genome sequence of Raoultella ornithinolytica P079F W, isolated from the feces of a preterm infant. Microbiol Resource Announc. doi: 10.1128/MRA.00493-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kiu R, Caim S, Alcon-Giner C, Belteki G, Clarke P, Pickard D, Dougan G, Hall LJ. 2017. Preterm infant-associated Clostridium tertium, Clostridium cadaveris, and Clostridium paraputrificum strains: genomic and evolutionary insights. Genome Biol Evol 9:2707–2714. doi: 10.1093/gbe/evx210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Harris SR, Feil EJ, Holden MT, Quail MA, Nickerson EK, Chantratita N, Gardete S, Tavares A, Day N, Lindsay JA, Edgeworth JD, de Lencastre H, Parkhill J, Peacock SJ, Bentley SD. 2010. Evolution of MRSA during hospital transmission and intercontinental spread. Science 327:469–474. doi: 10.1126/science.1182395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Segata N, Waldron L, Ballarini A, Narasimhan V, Jousson O, Huttenhower C. 2012. Metagenomic microbial community profiling using unique clade-specific marker genes. Nat Methods 9:811–814. doi: 10.1038/nmeth.2066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Abbott JC. 2017. BugBuilder—an automated microbial genome assembly and analysis pipeline. bioRxiv. doi: 10.1101/148783. [DOI]
- 12.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI Prokaryotic Genome Annotation Pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jia B, Raphenya AR, Alcock B, Waglechner N, Guo P, Tsang KK, Lago BA, Dave BM, Pereira S, Sharma AN, Doshi S, Courtot M, Lo R, Williams LE, Frye JG, Elsayegh T, Sardar D, Westman EL, Pawlowski AC, Johnson TA, Brinkman FS, Wright GD, McArthur AG. 2017. CARD 2017: expansion and model-centric curation of the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res 45:D566–D573. doi: 10.1093/nar/gkw1004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. 2018. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun 9:5114. doi: 10.1038/s41467-018-07641-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Chun J, Oren A, Ventosa A, Christensen H, Arahal DR, da Costa MS, Rooney AP, Yi H, Xu XW, De Meyer S, Trujillo ME. 2018. Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol 68:461–466. doi: 10.1099/ijsem.0.002516. [DOI] [PubMed] [Google Scholar]
- 17.Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, Tiedje JM. 2007. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 57:81–91. doi: 10.1099/ijs.0.64483-0. [DOI] [PubMed] [Google Scholar]
- 18.Richter M, Rosselló-Móra R. 2009. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci U S A 106:19126–19131. doi: 10.1073/pnas.0906412106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Lagesen K, Hallin P, Rødland EA, Staerfeldt H-H, Rognes T, Ussery DW. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 35:3100–3108. doi: 10.1093/nar/gkm160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yoon S-H, Ha S-M, Kwon S, Lim J, Kim Y, Seo H, Chun J. 2017. Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int J Syst Evol Microbiol 67:1613–1617. doi: 10.1099/ijsem.0.001755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Connor TR, Loman NJ, Thompson S, Smith A, Southgate J, Poplawski R, Bull MJ, Richardson E, Ismail M, Thompson SE, Kitchen C, Guest M, Bakke M, Sheppard SK, Pallen MJ. 2016. CLIMB (the Cloud Infrastructure for Microbial Bioinformatics): an online resource for the medical microbiology community. Microb Genom 2:e000086. doi: 10.1099/mgen.0.000086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Jolley KA, Bray JE, Maiden M. 2018. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res 3:124. doi: 10.12688/wellcomeopenres.14826.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
These whole-genome shotgun projects have been deposited in DDBJ/ENA/GenBank under the accession no. QFTZ00000000 (P079F I), QFVP00000000 (P080C CL), and QFTQ00000000 (P106E PI). Raw data have been deposited under accession no. SRR9048465, SRR9048466, and SRR9048464, respectively. The versions described in this paper are the first versions, QFTZ01000000, QFVP01000000, and QFTQ01000000, respectively.