Abstract
The vagina is home to a wide variety of bacteria that have great potential to impact human health. Here, we announce reference strains (now available through BEI Resources) and draft genome sequences for 9 Gram-negative vaginal isolates from the taxa Citrobacter, Klebsiella, Fusobacterium, Proteus, and Prevotella.
GENOME ANNOUNCEMENT
Reproductive and urinary tract infections are a major cause of morbidity and mortality for women worldwide (1, 2). Bacterial vaginosis (BV) is an imbalance of the vaginal microbiota that is associated with higher risks of sexually transmitted infections, urinary tract infections, and poor health outcomes among pregnant women (3–10). Women with BV have few lactic acid-producing bacteria (lactobacilli) and high levels of fastidious anaerobic bacteria. A variety of species within the Bacteroidetes and Fusobacteriales (among other taxa) have been isolated from women with BV, often from sites in the upper reproductive tract (e.g., placenta and amniotic fluid) (5, 11–14). Despite the widespread health complications associated with BV, its etiology is poorly characterized, and current treatment options are often met with recurrences (15).
Urinary tract infection (UTI) is another recurrent urogenital condition that is common among women and associated with poor pregnancy outcomes (1). Escherichia coli is the most common cause of UTI (16), and there are many dozens of available isolates and genomes of E. coli available for study. Citrobacter and Klebsiella spp. are less common etiologic agents of UTI. It is thought that the vagina can sometimes act a reservoir for uropathogens; however, few vaginal isolates of uropathogenic bacterial species are available as fully sequenced deposited isolates. The lack of reference strains and corresponding reference genomes of urogenital bacteria hinders research progress aimed at understanding how bacteria cause infection in the genital and urinary tracts. Here, we present annotated genome sequences of nine Gram-negative vaginal isolates, which have been made available to the research community through BEI Resources.
Vaginal swabs were collected from nonpregnant and pregnant women according to Washington University institutional review board (IRB)-approved protocols 201108155 and 201103082. Anaerobic vaginal swabs from reproductive-age pregnant and nonpregnant women were streaked onto agar medium and cultivated anaerobically. A detailed description of the isolation of these bacteria will be provided elsewhere.
Genomes were assembled using the One Button Velvet (1.1.06) pipeline (17), with hash sizes of 31, 33, and 35 after downsizing the input data to 100× coverage. Postassembly, we set the minimum length for contigs to 200 bp, ran an internal core gene screen on the assembly (as defined by the Human Microbiome Project [HMP] [18]), removed adapters, trimmed low-quality regions, and screened for contamination. The gene annotation process included generating both ab initio and evidence-based (BLAST) predictions. Coding sequences were identified using GeneMark and Glimmer3 (19, 20). Loci were then defined by clustering predictions with the same reading frame. We evaluated predictions using the NR and Pfam databases (21) and resolved overlaps between adjacent coding genes. Intergenic regions not spanned by GeneMark and Glimmer3 were subjected to a BLAST search against NCBI’s nonredundant (NR) database, and predictions were generated based on protein alignments. tRNA genes and noncoding RNA genes were found using tRNAscan-SE, RNAmmer, and Rfam (22–24). The final gene set was annotated for metabolic pathway predictions using KEGG (25), subcellular localization using PSORTb (26), and functional domain associations using InterProScan (27).
Accession number(s).
Nucleotide sequences have been deposited in GenBank under the accession numbers listed in Table 1. The sequences described in this paper are the first versions. We have also made the strains available to the research community by depositing them with the Biodefense and Emerging Infections (BEI) Research Resource Repository (see BEI numbers in Table 1).
TABLE 1 .
Species | Strain name | BEI catalog no. | Nucleotide sequence accession no. |
---|---|---|---|
Citrobacter freundii | GED7749C | HMS-1280 | LRPR00000000 |
Citrobacter koseri | GED7778C | HMS-1288 | LRPS00000000 |
Fusobacterium sp. | CMW8396 | HMS-1274 | LRPX00000000 |
Fusobacterium nucleatum | MJR7757B | HMS-1289 | LRPY00000000 |
Klebsiella pneumoniae | MJR8396D | HMS-1265 | LRQC00000000 |
Prevotella bivia | GED7880 | HMS-1270 | LTAG00000000 |
Prevotella bivia | GED7760C | HMS-1286 | LRQF00000000 |
Prevotella corporis | MJR7716 | HMS-1294 | LRQG00000000 |
Proteus mirabilis | GED7834 | HMS-1271 | LSGS00000000 |
ACKNOWLEDGMENTS
We acknowledge Justin C. Perry for technical assistance, the Women’s and Infant’s Health Specimen Consortium, and especially Michele Landeau. We also thank Jeff Peipert, Jenifer Allsworth, and Jennifer Bick of the Contraceptive CHOICE project for contributions of specimens from nonpregnant women.
Funding Statement
This work was funded by a March of Dimes Basil O'Connor award (A.L.L.), NIH Specialized Centers of Research grant P50 DK064540-11 (Scott Hultgren, A.L.L.; project II), and the Human Microbiome Project grant U54HG004968. Summer stipends were provided by the Planning Center for Research in Benign Urology Summer Research Program (P20DK097798 to G.E.D.) and the Washington University in St. Louis Summer Research Program with the Center for Global Health & Infectious Disease (CGHID)/Institute for Public Health (3054-93396B to M.J.R.).
Footnotes
For a commentary on this article, see doi:10.1128/genomeA.00890-16.
REFERENCES
- 1.Gilbert NM, O’Brien VP, Hultgren S, Macones G, Lewis WG, Lewis AL. 2013. Urinary tract infection as a preventable cause of pregnancy complications: opportunities, challenges, and a global call to action. Global Adv Health Med 2:59–69. doi: 10.7453/gahmj.2013.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kenyon C, Colebunders R, Crucitti T. 2013. The global epidemiology of bacterial vaginosis: a systematic review. Am J Obstet Gynecol 209:505–523. doi: 10.1016/j.ajog.2013.05.006. [DOI] [PubMed] [Google Scholar]
- 3.Atashili J, Poole C, Ndumbe PM, Adimora AA, Smith JS. 2008. Bacterial vaginosis and HIV acquisition: a meta-analysis of published studies. AIDS 22:1493–1501. doi: 10.1097/QAD.0b013e3283021a37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hillier SL, Nugent RP, Eschenbach DA, Krohn MA, Gibbs RS, Martin DH, Cotch MF, Edelman R, Pastorek JG 2nd, Rao AV, McNellis D, Regan JA, Carey C, Klebanoff MA. 1995. Association between bacterial vaginosis and preterm delivery of a low-birth-weight infant. The Vaginal Infections and Prematurity Study Group. N Engl J Med 333:1737–1742. doi: 10.1056/NEJM199512283332604. [DOI] [PubMed] [Google Scholar]
- 5.Holst E, Goffeng AR, Andersch B. 1994. Bacterial vaginosis and vaginal microorganisms in idiopathic premature labor and association with pregnancy outcome. J Clin Microbiol 32:176–186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sharami SH, Afrakhteh M, Shakiba M. 2007. Urinary tract infections in pregnant women with bacterial vaginosis. J Obstet Gynaecol 27:252–254. doi: 10.1080/01443610701194846. [DOI] [PubMed] [Google Scholar]
- 7.Sumati A, Saritha N. 2009. Association of urinary tract infection in women with bacterial vaginosis. J Glob Infect Dis 1:151–152. doi: 10.4103/0974-777X.56254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Svare JA, Schmidt H, Hansen BB, Lose G. 2006. Bacterial vaginosis in a cohort of Danish pregnant women: prevalence and relationship with preterm delivery, low birthweight and perinatal infections. BJOG 113:1419–1425. doi: 10.1111/j.1471-0528.2006.01087.x. [DOI] [PubMed] [Google Scholar]
- 9.Wiesenfeld HC, Hillier SL, Krohn MA, Landers DV, Sweet RL. 2003. Bacterial vaginosis is a strong predictor of Neisseria gonorrhoeae and Chlamydia trachomatis infection. Clin Infect Dis 36:663–668. doi: 10.1086/367658. [DOI] [PubMed] [Google Scholar]
- 10.Zhang X, Xu X, Li J, Li N, Yan T, Ju X. 2002. Relationship between vaginal sialidase bacteria vaginosis and chorioammionitis. Zhonghua Fu Chan Ke Za Zhi 37:588–590. [PubMed] [Google Scholar]
- 11.DiGiulio DB. 2012. Diversity of microbes in amniotic fluid. Semin Fetal Neonatal Med 17:2–11. doi: 10.1016/j.siny.2011.10.001. [DOI] [PubMed] [Google Scholar]
- 12.DiGiulio DB, Romero R, Kusanovic JP, Gómez R, Kim CJ, Seok KS, Gotsch F, Mazaki-Tovi S, Vaisbuch E, Sanders K, Bik EM, Chaiworapongsa T, Oyarzún E, Relman DA. 2010. Prevalence and diversity of microbes in the amniotic fluid, the fetal inflammatory response, and pregnancy outcome in women with preterm pre-labor rupture of membranes. Am J Reprod Immunol 64:38–57. doi: 10.1111/j.1600-0897.2010.00830.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Han YW, Shen T, Chung P, Buhimschi IA, Buhimschi CS. 2009. Uncultivated bacteria as etiologic agents of intra-amniotic inflammation leading to preterm birth. J Clin Microbiol 47:38–47. doi: 10.1128/JCM.01206-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hitti J, Hillier SL, Agnew KJ, Krohn MA, Reisner DP, Eschenbach DA. 2001. Vaginal indicators of amniotic fluid infection in preterm labor. Obstet Gynecol 97:211–219. [DOI] [PubMed] [Google Scholar]
- 15.Bradshaw CS, Morton AN, Hocking J, Garland SM, Morris MB, Moss LM, Horvath LB, Kuzevska I, Fairley CK. 2006. High recurrence rates of bacterial vaginosis over the course of 12 months after oral metronidazole therapy and factors associated with recurrence. J Infect Dis 193:1478–1486. doi: 10.1086/503780. [DOI] [PubMed] [Google Scholar]
- 16.Foxman B. 2003. Epidemiology of urinary tract infections: incidence, morbidity, and economic costs. DIS Mon 49:53–70. doi: 10.1067/mda.2003.7. [DOI] [PubMed] [Google Scholar]
- 17.Zerbino DR, Birney E. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 18:821–829. doi: 10.1101/gr.074492.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Human Microbiome Project Consortium 2012. A framework for human microbiome research. Nature 486:215–221. doi: 10.1038/nature11209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Borodovsky M, Mills R, Besemer J, Lomsadze A. 2003. Prokaryotic gene prediction using GeneMark and GeneMark.Hmm. Curr Protoc Bioinformatics Chapter 4:Unit 4.5. doi: 10.1002/0471250953.bi0405s01. [DOI] [PubMed]
- 20.Delcher AL, Harmon D, Kasif S, White O, Salzberg SL. 1999. Improved microbial gene identification with GLIMMER. Nucleic Acids Res 27:4636–4641. doi: 10.1093/nar/27.23.4636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Finn RD, Tate J, Mistry J, Coggill PC, Sammut SJ, Hotz HR, Ceric G, Forslund K, Eddy SR, Sonnhammer EL, Bateman A. 2008. The Pfam protein families database. Nucleic Acids Res 36:D281–D288. doi: 10.1093/nar/gkm960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Griffiths-Jones S, Moxon S, Marshall M, Khanna A, Eddy SR, Bateman A. 2005. Rfam: annotating non-coding RNAs in complete genomes. Nucleic Acids Res 33:D121–D124. doi: 10.1093/nar/gki081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.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]
- 24.Lowe TM, Eddy SR. 1997. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 25:955–964. doi: 10.1093/nar/25.5.0955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kanehisa M, Goto S, Kawashima S, Okuno Y, Hattori M. 2004. The KEGG resource for deciphering the genome. Nucleic Acids Res 32:D277–D280. doi: 10.1093/nar/gkh063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yu NY, Wagner JR, Laird MR, Melli G, Rey S, Lo R, Dao P, Sahinalp SC, Ester M, Foster LJ, Brinkman FS. 2010. PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics 26:1608–1615. doi: 10.1093/bioinformatics/btq249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R. 2005. InterProScan: protein domains identifier. Nucleic Acids Res 33:W116–W120. doi: 10.1093/nar/gki442. [DOI] [PMC free article] [PubMed] [Google Scholar]