- Research article
- Open Access
Genome reannotation of Escherichia coli CFT073 with new insights into virulence
BMC Genomics volume 10, Article number: 552 (2009)
As one of human pathogens, the genome of Uropathogenic Escherichia coli strain CFT073 was sequenced and published in 2002, which was significant in pathogenetic bacterial genomics research. However, the current RefSeq annotation of this pathogen is now outdated to some degree, due to missing or misannotation of some essential genes associated with its virulence. We carried out a systematic reannotation by combining automated annotation tools with manual efforts to provide a comprehensive understanding of virulence for the CFT073 genome.
The reannotation excluded 608 coding sequences from the RefSeq annotation. Meanwhile, a total of 299 coding sequences were newly added, about one third of them are found in genomic island (GI) regions while more than one fifth of them are located in virulence related regions pathogenicity islands (PAIs). Furthermore, there are totally 341 genes were relocated with their translational initiation sites (TISs), which resulted in a high quality of gene start annotation. In addition, 94 pseudogenes annotated in RefSeq were thoroughly inspected and updated. The number of miscellaneous genes (sRNAs) has been updated from 6 in RefSeq to 46 in the reannotation. Based on the adjustment in the reannotation, subsequent analysis were conducted by both general and case studies on new virulence factors or new virulence-associated genes that are crucial during the urinary tract infections (UTIs) process, including invasion, colonization, nutrition uptaking and population density control. Furthermore, miscellaneous RNAs collected in the reannotation are believed to contribute to the virulence of strain CFT073. The reannotation including the nucleotide data, the original RefSeq annotation, and all reannotated results is freely available via http://mech.ctb.pku.edu.cn/CFT073/.
As a result, the reannotation presents a more comprehensive picture of mechanisms of uropathogenicity of UPEC strain CFT073. The new genes change the view of its uropathogenicity in many respects, particularly by new genes in GI regions and new virulence-associated factors. The reannotation thus functions as an important source by providing new information about genomic structure and organization, and gene function. Moreover, we expect that the detailed analysis will facilitate the studies for exploration of novel virulence mechanisms and help guide experimental design.
Uropathogenic Escherichia coli (UPEC) strains lead to 70-90% of the estimated annual 150 million community-acquired urinary tract infections (UTIs) . As a member of UPEC, the complete genome of strain CFT073 (serotype O6:K2:H1) was sequenced in 2002 [GenBank: AE014075.1] , which has a 5,231,428 bp chromosome without plasmid and is 590,209 bp longer than the well-studied K-12 MG1655 strain. The difference in the CFT073 genome is mostly caused by five unique cryptic inserted prophage genomes that contain a large portion of virulence or virulence-associated genes, referred to as pathogenicity islands (PAIs) . At the time of this writing, the release in RefSeq annotates 5,339 protein-coding genes, 89 tRNA genes, 21 rRNA genes, and 6 miscellaneous RNA genes . In-depth analysis reveals that 3,190 genes (3,925,047 bp, 75.0%) are considered as conserved backbone genes, while the rest (1,306,391 bp, 25.0%), known as CFT073-specific islands, inserts into the backbone regions in an extensive mosaic manner. Regarding virulence and virulence-associated genes, the annotation includes 12 types of fimbriae, 7 autotransporters, and toxin operons such as hlyCABD and upxBDA . Since its first release, the annotation not only presents an overview of the complexity of the pathogen's lifestyle, but also has served as a guide for experimental design.
However, several lines of evidence suggest a need for the reannotation of the Escherichia coli CFT073 genome, partially due to discoveries and corrections overtime for the original RefSeq annotation even updated with some minor corrections. For example, new autotransporter encoding genes and some vital population density control factors are missing from the annotation [4, 5], while more and more novel small RNAs (sRNAs) that have recently been found to add to the complexity of virulence regulatory networks . In addition, a computational estimation suggests that the annotation quality of the translation initiation site is surprisingly lower in this strain than in its close relative, K-12 MG1655 . Moreover, similar observation, along with low annotation quality in CDSs, has been demonstrated in other E. coli strains (for example, APEC O1), by syntactic annotation methods . Such an observation indicates that the highly diverse adaptive paths in different E. coli are responsible for the requirement of more sophisticated annotation methods rather than traditional ones. As a systematic issue, research on how CFT073 establishes its virulence during the UTI process needs a more comprehensive and precise picture of the genomic structure of this pathogen instead of piecemeal information. Therefore, a thorough reannotation of CFT073 is justified for future studies.
Reannotation is a process to annotate a previously annotated genome by using better bioinformatics methods and more complete databases . Working toward improvement of gene structure as well as functionary information, the importance of genome reannotation has been recognized even before the completion of the first genome sequence [9, 10]. However, out of the total number of sequenced microbial genomes (845 at the time of writing), examples of genome-wide reannotations are surprisingly rare . With a few number of documented projects [11–14], nevertheless, several common features can be summarized. Firstly, the functional examination of genes already annotated has become a common practice in reannotation, thanks to the advances of sequence comparison and new experimental data from literature [11–14]. Secondly, new genes may also be described, with evidences mostly from de novel gene prediction or sequence comparison to public databases like SWISS-PROT , and to a less degree from experimental genome analysis data . Finally, almost all projects involve manual efforts to offer more precise designations to expert curators, and thus help avoid flawed research. In addition to a genome-wide analysis, particular interest may be directed to subsets of genes. For instance, Chen et al.  focused on assignment of function to genes recognized as being "hypothetical" in previous annotations.
In this work, we combine automated annotation tools with manual efforts to provide a comprehensive and precise reannotation of the Escherichia coli CFT073 genome. Hereby we refer to the current release of RefSeq annotation as the original annotation [RefSeq: NC_004431] for CFT073, although the very first annotation in 2002 has already been updated with some minor corrections. With a focus on virulence genes, the reannotation was achieved by using literature curation and applications of several analytical methods including gene finding tools, sequence/domain similarity search and transmembrane region analysis. As a result, 608 coding sequences (CDSs) annotated in RefSeq were excluded, while a total of 299 CDSs are new to the original annotation and one third of these are found in genomic island (GI) regions. Subsequent analysis were conducted by both general and case studies on genes that are crucial during the UTI process, including invasion, colonization, nutrition uptake and population density control. Besides virulence factors, miscellaneous RNAs are believed to contribute to the virulence of strain CFT073 . Therefore, the reannotation presents a total of 40 new miscellaneous RNA genes based on literature curation and database searching. The CFT073 reannotation resource is freely available via http://mech.ctb.pku.edu.cn/CFT073/. Following the proposal by Salzberg , the reannotation website includes three sections: a brief overview of the methods for reannotation, links to browse the reannotation, and links for data download.
In general, the new CDSs and miscellaneous RNA genes bring new perspectives to the virulence properties of this pathogen. We expect the reannotation to be complementary to the original annotation, with the hope to facilitate the study of new mechanisms of uropathogenicity in CFT073 for a variety of research communities.
Results & Discussion
CDS calling and gene start annotation
For the purpose of a systematic reannotation of CDSs, the complete CFT073 sequence has been analyzed upon its all open reading frames (ORFs) longer than 60 bp. All of such ORFs were filtered by running blastp (threshold: e-value < 10-5 and identity > 30%) against Swiss-Prot  and rps-blast against the conserved domain database (CDD) . Additional to the blast filter, the results of prediction tools (EasyGene1.2 , GeneMark.hmm , Glimmer 3.02 , and MED 2.0 ) were also applied in this study. ORFs co-predicted by at least three of the four tools were included. Comparing to the original annotation, consequently 608 CDSs were removed as listed in Additional File 1. Meanwhile, there was an significant adjustment with totaling 299 CDSs added to the original annotation (see Additional File 2). In fact, all the 608 ruled-out protein-coding genes are either annotated as "hypothetical" or "putative" in the original annotation, and most of them have no function assigned. In contrast, among the 299 new genes, 38 are highly homologous to genes from K-12, or from either one of the two other completely sequenced UPEC strains 536 [RefSeq: NC_008253] and UTI89 [RefSeq: NC_007946]. Moreover, some of the 38's homologues in 536 or UTI89 are related to virulence, such as cdiAB [GeneID: 2829859] and papB [GeneID: 3992045]. A complete set of the reannotation is included in Additional File 3, meanwhile a comparison between the original annotation and the reannotation is listed in Table 1.
We further manually examined all the pseudogenes (94 samples) in the original annotation. Due to shifting, trimming and splitting, some of the pseudogenes are identified to be protein-coding genes in the reannotation. For example, the annotated pseudogene, c0707 [RefSeq GeneID: 1036199], contains two parts, of which a new gene (c0056r) was reannotated as citrate lyase carrier gene citD by gene context analysis. In the reannotation, this new gene is surrounded by citrate carrier protein coding gene citG [RefSeq protein_id: NP_752632] and citrate lyase coding genes citXFE [RefSeq: NP_752633; NP_752635; NP_752637] in the upstream, and lyase ligase gene citC [RefSeq: NP_752638], sensor kinase gene citA [RefSeq: NP_752639], and transcriptional regulatory protein coding gene citB [RefSeq: NP_752640] in the downstream, and furthermore, is found to be essential to the citrate pathway . Thus the reannotation eliminated the possibility of false interpretation introduced by the original annotation. As a result of the thorough inspection, 35 of the 94 pseudogenes have been directly identified as coding genes newly added into the reannotation, while 55 of them are associated with dozens of new coding genes due to trimming, elongation, splitting or merging along the genomic DNA strand.
Clusters of genes were also manually analyzed in the reannotation. As the most significant characteristic of the E. coli CFT073 genome, the GIs, especially PAIs, differ from the backbone genome by possessing clusters of alien genes, especially virulence factor and virulence-associated factor genes. The reannotation indicates that more than one third of the newly added protein-coding genes (102/299 (34.11%)) are located in such genomic regions. Many of these genes are found to be complementary to other genes in genomic islands on both regulation and function levels. For instance, the new microcin genes, mcmAI [GeneID: 4194251] and mchIX [GeneID: 1039907], from genomic island PAI-CFT073-serX are required by the Fur-regulated iron concentration-dependent mirocin secretion (more details will follow).
For TIS annotation, we have proposed a computational method to estimate the annotation accuracy of a sequenced genome . The method calculates the accuracy by estimating the true TIS's contribution to the total sequence pattern around annotated TISs, not by simply comparing one set of predictions to another . As found in that paper, the accuracy of RefSeq TIS-annotation is surprisingly low for CFT073 . This is one of the reasons for us to reannotate this strain. With the increasing number of experimentally verified TISs in other genomes, it will be interesting to take these TIS-already-verified genes as references to improve the annotation of TIS in CFT073. In fact, with an alignment of N-terminal sequences (21 amino acids, 100% identity), this has been implemented as a part of a TIS annotation pipeline previously developed for any genome, namely ProTISA . To have high quality of gene start annotation, herein we applied the ProTISA pipeline for gene start relocation of the CFT073 genome .
Briefly, TISs of genes are collected from 1) experimental evidence (including those obtained by alignments of N-terminal sequences; tagged as IPT), 2) conserved domain search (CDC), 3) alignments of orthologous genes (HSC), and 4) predictions from TriTISA  for the rest of genes; a complete list can be retrieved from the ProTISA database [22, 24]. Although annotated by computational methods, TISs in categories of both CDC and HSC are believed to be highly reliable [22, 25, 26]. By taking genes with TISs tagged by IPT as benchmarks, the prediction for CFT073 by TriTISA  reports an accuracy of 95.6% that is 14.1% higher than that of the RefSeq annotation. In addition, by applying the method proposed in , the accuracy of the overall TISs of the reannotation for CFT073 is 19.1% higher than that of the RefSeq annotation (90.0% VS 70.5%). Both are positive towards the high TIS quality of TIS of the reannotation.
Finding of missed intricacy in PAIs
As mentioned earlier, over one third of the 299 new protein-coding genes (102 genes) in the reannotation are packed in relatively narrow GI regions (796,694 bp in total, about 15% of the whole genome in length). Further analysis demonstrated that 68 of them are located in virulence related genomic island regions, namely pathogenicity islands (PAIs). As the 102 new genes may cooperate with the originally annotated genes to give a more comprehensive PAI scenario, we hereby investigated their functions based on a variety of evidence for use in further studies (see Additional File 4). In this work, case studies are focused on new CDSs in PAI regions, with relevances to other genes from the same region. New genes located in the PAIs offered a more accurate and reasonable interpretation of the virulence regulation in those regions. As listed in Table 2, we found that 12 out of 14 newly designated integrase/transposase genes are located in these regions with potential virulence contribution together with other mobile elements and relevant genes. We applied case study approach in this work for better representations of how the reannotation finds the PAIs' intricacy that was missed in the original annotation. For example, in the pathogenicity island PAI-CFT073-aspV, there are 3 consecutive genes (c0342 [GeneID: 1036384], c0343 [GeneID: 1036380], and c0344 [GeneID: 1036375] in RefSeq) originally annotated as pseudogenes. In the reannotation, the three pseudogenes were merged into two new genes (c0033r and c0034r), which are homologues of contact-dependent growth inhibitor genes cdiA and cdiB, respectively (Figure 1). It is reported that cdiAB triggers a non-secretion growth inhibition under certain population density conditions and usually are co-expressed with CdiI, the cdi immunity protein, to avoid self-destruction . However, in UPEC strains, cdiI is absent from the genome because constitutive P fimbrial expression serves as its substitute . In fact, the P fimbrial operon promoter gene papB (c0038r) has been identified located immediately downstream of cdiAB in the reannotation, whereas it is missed in the original annotation. Clearly, these three new genes, cdiA, cdiB and papB (as listed in Additional File 4), match up well with the proposed functional relation between P fimbriae and Cdi proteins on the genomic structure level, which are supported by experimental evidences .
As another example in the reannotation, the pathogenicity island PAI-CFT073-serX contains two new genes (c0097r and c0096r, listed in Additional File 4) that show strong homology to microcin M gene mcmA and its immunity protein gene mcmI, respectively. Secreted microcins encoded by mcm function in population density control under stress, especially during UTI. Interestingly, there are RND-type exporter (microcin M is its transmembrane exportation cargo ) system encoding genes, mchDEF [RefSeq: NP_753144; NP_753145; NP_753146], located upstream of the two new genes. Such gene arrangements indicate a secreted peptide-based population density control system encoded in PAI-CFT073-serX region. Moreover, further upstream another two new genes, mchX and mchI (c0094r and c0095r, listed in Additional File 4), were recovered in the reannoatation, while a potential Fur-box (conserved sequence for global iron-concentration concerned regulatory protein Fur specific binding) is found upstream of mchX. Therefore, the regulation of mch genes, and the transportation of mcmA and mcmI, is potentially controlled by the global iron-concerned factor Fur. Notably, the linear arrangement of mch and mcm conserved in two other strains CA58 and pEX4, highlights its importance in biological functions (Figure 2). The lack of these genes in the annotation would potentially lead to a mis-interpretation of virulence and evolutionary relations.
Adjustment in virulence factors
As a uropathogenic strain, CFT073 employs a variety of virulence genes for invasion, adherence, colonization et al., to host cells. Most current studies on this pathogen focus on the virulence factors, such as fim operon, antigen 43 and so on, while missing of such genes in the annotation could be misleading for this direction. For example, several critical genes that might contribute to virulence during urinary tract infections, including hokA and hokC  are absent in the original RefSeq annotation. While in the reannotation, dozens of new protein-coding genes show functions relevant to virulence, including 2 toxic membrane genes, 8 cell-wall associated genes, 7 coilcin/microcin genes, 3 fimbrial regulator genes, and 5 outer membrane receptor genes (see Additional File 2). Specially, we list in Additional File 5 a total of 19 new genes that are likely to contribute to the virulence for strain CFT073, of which includes two genes hokA and hokC. In addition, the reannotation adds a set of small RNA (sRNA) genes which play essential roles in virulence for CFT073 such as oxyS, csrC, and omrAB (see the next subsection).
We hereby use case studies to highlight the importance of new coding genes related to virulence. For instance, the newly added CDS c0139r is a candidate for enterobactin siderophore autotransporter (AT). It shows high homology to the EntS/YbdA MFS transporter family members in both UPEC strains UTI89 ([EBI: Q1RC09]; identity: 65%, e-value: 10-27) and 536 ([EBI: Q0TI10]; identity: 77%, e-value: 10-27). Conserved domain search reveals at least two domains that indicate the AT encoding ability of this new gene c0139r as follows. The C-terminal domains has a strong potential in forming a transmembranal β-barrel (HTMSRAP prediction ), which is the structural foundation of self-secretion. The passenger domain shows high sequence similarity with haemagluttinin repeat, which is responsible for cell-aggregation through a handshake mechanism . Such structure is conservative among other verified autotransporters such as Antigen 43, a virulence factor mediating cell-cell aggregation that enhances resistance during infections  (Figure 3). Thus, the evidence supports that c0139r mediates cell aggregation as a autotransporter encoding gene, and moreover, enhances the diversity of adherence methods of this pathogen and widens its target cell spectrum.
As mentioned earlier, the reannotation discovers the missed cdiAB genes and implies a potential regulatory relation between cdi genes and P fimbrial expression during population density control. It is interesting that UPEC strains also employ another strategy to mediate their population size and to widen their chance to survive during the infection: secreted antimicrobial peptides such as colicin. The reannotation enriches this category of genes by 7 new genes, including both colicin and immunity proteins (Table 3). For example, the original release annotates ORF c0133 (128997 - 129293) [RefSeq: NP_752086; NC_004431.1] as a hypothetical protein gene. By frame shifting and shortening the pre-annotated ORF, the reannotation determines a colicin gene (c0010r, 127216 - 128997), while the original "hypothetical protein" gene is trimmed into c0011r (129691 - 129984) and assigned as colicin immunity gene. The new gene c0010r gives high sequence similarity with S-type pyocins (identity: 93.3%; e-value: 10-27), which is a bacteriocin closely related to colicin E2, E7, and E9. Further conserved domain search for c0010r reveals a congruent linear domain structure with colicins: i) the N-terminal domain has strong homology with the receptor recognizing signal sequence of cytotoxin protein Hcp (pfam06958, COG3157) in Vibro cholerae , which supports cell surface receptor recognition function of this region; ii) the third domain is homologous to S-type pyocin specific domain, which is responsible for pyocin translocation and penetration; and iii) the C-terminal domain carries the lethal activity and hosts a S-type pyocin specific HNH endonuclease signature. Therefore, the analysis suggests the validation assessment of the function of the new colicin by experiments.
There are also sets of genes that indirectly contribute to the virulence and are considered virulence factors as well, given that their absence would lead to failure in infections. Particularly, under the extreme environment in the human urinary tract such as high osmotic stress and lack of oxygen, genes in charge of self-adaption are essential to survival in the transition from intestines to its specific niche. Of the new genes in the reannotation, 2 are toxic membrane genes, 8 are cell-wall associated genes, and 5 are outer membrane receptor genes. It is worth noting that some of these are found to be critical in environment sensing and self-adjusting. For instance, c0247r encodes a membrane permeability altering protein which might help CFT073 overcome the high osmolarity in the urinary tract; c0201r produces an anaerobic nitric oxide reductase, which would be essential to CFT073 when in the urinary tract, where oxygen concentration is low and nitrogen is very limited. Therefore, we expect that the reannotation of virulence factors will facilitate a more complete and precise understanding of how this pathogen survives, transfers, and colonizes in human urinary tract.
Mobile genetic elements have been known as being associated with pathogenicity islands in UPEC strains and play an important role in transition from an acute to a chronic state of disease [34, 35]. In this regard, the reannotation has also recovered a set of elements such as transposase and integrase. There are in total 14 newly added genes for this category (Table 2). Among them, c0012r is a transposase for insertion sequences, which is located in a prophage repeat region associated with insertion sequence IS629 and another putative transposase gene (c0139 [RefSeq: NP_752091]). Such genomic structure is similar to several other newly designated integrases/transposases. For example, as insertion elements prefer sites around tRNA genes, both c0053r and c0054r are integrase genes next to a Arg-tRNA gene, instead of two overlapping pseudogenes as reported in the original annotation. Moreover, the region surrounding c0053r and c0054r is a prophage area and contains phage-related genes such as nfrAB [RefSeq: NP_752585; NP_752586] (bacteriophage N4 adsorption genes). However, the picture for these phage-related genes is incomplete in the original annotation because of the missing of transposase/integrase.
To date, about 80 sRNA molecules in E. coli have been identified, many of which control transcriptions of virulence-related genes . However, almost all of the essential small RNAs (sRNAs) are found missing in the original RefSeq annotation. To correct this systematic defect, the reannotation carries out an update to sRNA genes. We combined Rfam9.0 prediction  and literature investigation for sRNA annotation, and thus retrieved a result of 46 samples (see Additional File 6), in which 6 annotated as miscellaneous genes in RefSeq are also included. Most of these sRNAs' functions are verified by experiments . For instance, gadY [GeneID: 2847729] activates a series of reactions in response to the acid environment for better resistance to low pH in the urinary tract, while ryhB [GeneID: 2847761] and fur [RefSeq: NP_752700] (a global iron-concerned regulator gene) repress each other and thus form a loop to control the expression of iron concentration-dependent genes. With these newly added sRNA genes, it is clear that the reannotation provides a more integral view of the regulatory networks in CFT073.
Using a combination of approaches and in-depth analysis, the reannotation of the Escherichia coli CFT073 genome presents a substantial update across the complete genome. To determine the functional annotation of protein-coding genes and RNAs, we deployed both a series of automated annotation tools and manual efforts, incorporating a wide variety of research information by data integration, literature curation, and genomic comparison against the relative strains in E. coli. Major updates include noteworthy correction of all protein-coding genes with 608 from RefSeq annotation being excluded and 299 added, also with 341 where their translation initiation sites were relocated. In addition, 94 pseudogenes annotated in RefSeq were thoroughly inspected and updated. Moreover, the miscellaneous genes (sRNAs) have been updated in number from 6 in the RefSeq to 46 in the reannotation. Based on the adjustment in the reannotation, the concerns are more addressed to new protein-coding genes and sRNAs that are crucial or associated with virulence or the UTI process of CFT073. It is apparent that, without the genes newly added in the reannotation, many important functions or regulatory pathways related to the virulence of strain CFT073 cannot be well illuminated. As a result, the reannotation provides a more comprehensive picture of mechanism of uropathogenicity of this UPEC strain. The new genes change the view of its uropathogenicity in different respects, particularly by new genes in GI regions and new virulence-associated factors. The reannotation can thus serve as an important resource by providing new information of the genomic structure and organization, as well as gene function. We hope that the detailed analysis will facilitate future exploration of novel virulence mechanisms and help guide experimental design.
The genome sequences of E. coli strains CFT073 [RefSeq: NC_004431] , K-12 substrain MG1655 [RefSeq: NC_000913] , 536 [Refseq: NC_008253]  and UTI89 (with plasmid; [RefSeq: NC_007946]  were taken from RefSeq.
Programs and databases
Predictions of EasyGene1.2  were downloaded from its website. The other three gene-finders, GeneMark.hmm , MED 2.0 , and Glimmer 3.02 , were downloaded, installed and run in local. Other programs include: RPS-blast for conserved domain search (against CDD v2.13 ), blastp  for similarity search (against SWISS-PROT ), gene start prediction with TriTISA , sRNA genes prediction based on Rfam9.0 database , and ARTEMIS 9 for genome browse . Thresholds of e-value at e10-5 and identity score at 30 are set for blastp and RPS-blast.
Virulence factor prediction
Multiple sequence alignment with virulence factor sequences from VFDB  were manipulated by the uses of EMBOSS suit , Mega3.1  and T-coffee . The alignments were automatically shaded according to the default setting of these softwares. The assumed transmembranal protein sequences were examined by HTMSRAP .
- E. coli :
Open reading frame
Translation initiation site
Uropathogenic Escherichia coli
Urinary tract infection.
Stamm WE, Norrby SR: Urinary tract infections: disease panorama and challenges. J Infect Dis. 2001, 183 (Suppl 1): S1-4. 10.1086/318850.
Welch RA, Burland V, Plunkett Gr, Redford P, Roesch P, Rasko D, Buckles EL, Liou SR, Boutin A, Hackett J, Stroud D, Mayhew GF, Rose DJ, Zhou S, Schwartz DC, Perna NT, Mobley HLT, Donnenberg MS, Blattner FR: Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia coli. Proc Natl Acad Sci USA. 2002, 99 (26): 17020-17024. 10.1073/pnas.252529799.
Hacker J, Blum-Oehler G, Muhldorfer I, Tschape H: Pathogenicity islands of virulent bacteria: structure, function and impact on microbial evolution. Mol Microbiol. 1997, 23 (6): 1089-1097. 10.1046/j.1365-2958.1997.3101672.x.
Forsman K, Goransson M, Uhlin BE: Autoregulation and multiple DNA interactions by a transcriptional regulatory protein in E. coli pili biogenesis. EMBO J. 1989, 8 (4): 1271-1277.
Slechta ES, Mulvey MA: Contact-dependent inhibition: bacterial brakes and secret handshakes. Trends Microbiol. 2006, 14 (2): 58-60. 10.1016/j.tim.2005.12.003.
Gottesman S: Micros for microbes: non-coding regulatory RNAs in bacteria. Trends Genet. 2005, 21 (7): 399-404. 10.1016/j.tig.2005.05.008.
Hu GQ, Zheng X, Ju LN, Zhu H, She ZS: Computational evaluation of TIS annotation for prokaryotic genomes. BMC Bioinformatics. 2008, 9: 160-10.1186/1471-2105-9-160.
Touchon M, Hoede C, Tenaillon O, Barbe V, Baeriswyl S, Bidet P, Bingen E, Bonacorsi S, Bouchier C, Bouvet O, Calteau A, Chiapello H, Clermont O, Cruveiller S, Danchin A, Diard M, Dossat C, Karoui ME, Frapy E, Garry L, Ghigo JM, Gilles AM, Johnson J, Le Bouguenec C, Lescat M, Mangenot S, Martinez-Jehanne V, Matic I, Nassif X, Oztas S, Petit MA, Pichon C, Rouy Z, Ruf CS, Schneider D, Tourret J, Vacherie B, Vallenet D, Medigue C, Rocha EPC, Denamur E: Organised genome dynamics in the Escherichia coli species results in highly diverse adaptive paths. PLoS Genet. 2009, 5: e1000344-10.1371/journal.pgen.1000344.
Ouzounis C, Karp P: The past, present and future of genome-wide re-annotation. Genome Biol. 2002, 3 (2): 10.1186/gb-2002-3-2-comment2001. COMMENT2001
Salzberg S: Genome re-annotation: a wiki solution?. Genome Biol. 2007, 8: 102-10.1186/gb-2007-8-6-r102.
Gundogdu O, Bentley SD, Holden MT, Parkhill J, Dorrell N, Wren BW: Re-annotation and re-analysis of the Campylobacter jejuni NCTC11168 genome sequence. BMC Genomics. 2007, 8: 162-10.1186/1471-2164-8-162.
Dandekar T, Huynen M, Regula J, Ueberle B, Zimmermann C, Andrade M, Doerks T, Sanchez-Pulido L, Snel B, Suyama M, Yuan Y, Herrmann R, Bork P: Re-annotating the Mycoplasma pneumoniae genome sequence: adding value, function and reading frames. Nucleic Acids Res. 2000, 28 (17): 3278-3288. 10.1093/nar/28.17.3278.
Camus J, Pryor M, Medigue C, Cole S: Re-annotation of the genome sequence of Mycobacterium tuberculosis H37Rv. Microbiology. 2002, 148 (pt 10): 2967-2973.
Chen L, Ma B, Gao N: Reannotation of hypothetical ORFs in plant pathogen Erwinia carotovora subsp. atroseptica SCRI1043. FEBS J. 2008, 275: 198-206.
Bairoch A, Apweiler R: The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Res. 2000, 28: 45-48. 10.1093/nar/28.1.45.
Marchler-Bauer A, Anderson JB, Derbyshire MK, DeWeese-Scott C, Gonzales NR, Gwadz M, Hao L, He S, Hurwitz DI, Jackson JD, Ke Z, Krylov D, Lanczycki CJ, Liebert CA, Liu C, Lu F, Lu S, Marchler GH, Mullokandov M, Song JS, Thanki N, Yamashita RA, Yin JJ, Zhang D, Bryant SH: CDD: a conserved domain database for interactive domain family analysis. Nucleic Acids Res. 2007, D237-240. 10.1093/nar/gkl951. 35 Database
Nielsen P, Krogh A: Large-scale prokaryotic gene prediction and comparison to genome annotation. Bioinformatics. 2005, 21 (24): 4322-4329. 10.1093/bioinformatics/bti701.
Besemer J, Borodovsky M: GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses. Nucleic Acids Res. 2005, W451-454. 10.1093/nar/gki487. 33 Web Server
Delcher AL, Bratke KA, Powers EC, Salzberg SL: Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007, 23 (6): 673-679. 10.1093/bioinformatics/btm009.
Zhu H, Hu GQ, Yang YF, Wang J, She ZS: MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes. BMC Bioinformatics. 2007, 8: 97-10.1186/1471-2105-8-97.
Bott M: Anaerobic citrate metabolism and its regulation in enterobacteria. Arch Microbiol. 1997, 167 (2/3): 78-88. 10.1007/s002030050419.
Hu GQ, Zheng X, Yang YF, Ortet P, She ZS, Zhu H: ProTISA: a comprehensive resource for translation initiation site annotation in prokaryotic genomes. Nucleic Acids Res. 2008, D114-119. 36 Database
Hu GQ, Zheng X, Zhu H, She ZS: Prediction of translation initiation site with TriTISA. Bioinformatics. 2009, 25: 123-125. 10.1093/bioinformatics/btn576.
Frishman D, Mironov A, Mewes HW, Gelfand M: Combining diverse evidence for gene recognition in completely sequenced bacterial genomes. Nucleic Acids Res. 1998, 26: 2941-2947. 10.1093/nar/26.12.2941.
Makita Y, De Hoon MJL, Danchin A: Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes. BMC Bioinformatics. 2007, 8: 47-10.1186/1471-2105-8-47.
Aoki SK, Pamma R, Hernday AD, Bickham JE, Braaten BA, Low DA: Contact-dependent inhibition of growth in Escherichia coli. Science. 2005, 309 (5738): 1245-1248. 10.1126/science.1115109.
Tseng TT, Gratwick KS, Kollman J, Park D, Nies DH, Goffeau A, Saier MHJ: The RND permease superfamily: an ancient, ubiquitous and diverse family that includes human disease and development proteins. J Mol Microbiol Biotechnol. 1999, 1: 107-125.
Rasko DA, Rosovitz MJ, Myers GSA, Mongodin EF, Fricke WF, Gajer P, Crabtree J, Sebaihia M, Thomson NR, Chaudhuri R, Henderson IR, Sperandio V, Ravel J: The pangenome structure of Escherichia coli: comparative genomic analysis of E. coli commensal and pathogenic isolates. J Bacteriol. 2008, 190 (20): 6881-6893. 10.1128/JB.00619-08.
Dastmalchi S, Beheshti S, Morris MB, Church WB: Prediction of rotational orientation of transmembrane helical segments of integral membrane proteins using new environment-based propensities for amino acids derived from structural analyses. FEBS J. 2007, 274 (10): 2653-2660. 10.1111/j.1742-4658.2007.05800.x.
Relman DA, Domenighini M, Tuomanen E, Rappuoli R, Falkow S: Filamentous hemagglutinin of Bordetella pertussis: nucleotide sequence and crucial role in adherence. Proc Natl Acad Sci USA. 1989, 86 (8): 2637-2641. 10.1073/pnas.86.8.2637.
Fexby S, Bjarnsholt T, Jensen PO, Roos V, Hoiby N, Givskov M, Klemm P: Biological Trojan horse: Antigen 43 provides specific bacterial uptake and survival in human neutrophils. Infect Immun. 2007, 75: 30-34. 10.1128/IAI.01117-06.
Cascales E, Buchanan SK, Duche D, Kleanthous C, Lloubes R, Postle K, Riley M, Slatin S, Cavard D: Colicin biology. Microbiol Mol Biol Rev. 2007, 71: 158-229. 10.1128/MMBR.00036-06.
Hochhut B, Wilde C, Balling G, Middendorf B, Dobrindt U, Brzuszkiewicz E, Gottschalk G, Carniel E, Hacker J: Role of pathogenicity island-associated integrases in the genome plasticity of uropathogenic Escherichia coli strain 536. Mol Microbiol. 2006, 61 (3): 584-595. 10.1111/j.1365-2958.2006.05255.x.
Blum G, Ott M, Lischewski A, Ritter A, Imrich H, Tschape H, Hacker J: Excision of large DNA regions termed pathogenicity islands from tRNA-specific loci in the chromosome of an Escherichia coli wild-type pathogen. Infect Immun. 1994, 62 (2): 606-614.
Lindberg S, Xia Y, Sonden B, Goransson M, Hacker J, Uhlin BE: Regulatory Interactions among adhesin gene systems of uropathogenic Escherichia coli. Infect Immun. 2008, 76 (2): 771-780. 10.1128/IAI.01010-07.
Griffiths-Jones S, Moxon S, Marshall M, Khanna A, Eddy SR, Bateman A: Rfam: annotating non-coding RNAs in complete genomes. Nucleic Acids Res. 2005, D121-124. 33 Database
Blattner FR, Plunkett Gr, Bloch CA, Perna NT, Burland V, Riley M, Collado-Vides J, Glasner JD, Rode CK, Mayhew GF, Gregor J, Davis NW, Kirkpatrick HA, Goeden MA, Rose DJ, Mau B, Shao Y: The complete genome sequence of Escherichia coli K-12. Science. 1997, 277 (5331): 1453-1474. 10.1126/science.277.5331.1453.
Brzuszkiewicz E, Bruggemann H, Liesegang H, Emmerth M, Olschlager T, Nagy G, Albermann K, Wagner C, Buchrieser C, Emody L, Gottschalk G, Hacker J, Dobrindt U: How to become a uropathogen: comparative genomic analysis of extraintestinal pathogenic Escherichia coli strains. Proc Natl Acad Sci USA. 2006, 103 (34): 12879-12884. 10.1073/pnas.0603038103.
Chen SL, Hung CS, Xu J, Reigstad CS, Magrini V, Sabo A, Blasiar D, Bieri T, Meyer RR, Ozersky P, Armstrong JR, Fulton RS, Latreille JP, Spieth J, Hooton TM, Mardis ER, Hultgren SJ, Gordon JI: Identification of genes subject to positive selection in uropathogenic strains of Escherichia coli: a comparative genomics approach. Proc Natl Acad Sci USA. 2006, 103 (15): 5977-5982. 10.1073/pnas.0600938103.
Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.
Rutherford K, Parkhill J, Crook J, Horsnell T, Rice P, Rajandream MA, Barrell B: Artemis: sequence visualization and annotation. Bioinformatics. 2000, 16 (10): 944-945. 10.1093/bioinformatics/16.10.944.
Yang J, Chen L, Sun L, Yu J, Jin Q: VFDB 2008 release: an enhanced web-based resource for comparative pathogenomics. Nucleic Acids Res. 2008, D539-542. 36 Database
Rice P, Longden I, Bleasby A: EMBOSS: the European Molecular Biology Open Software Suite. Trends Genet. 2000, 16 (6): 276-277. 10.1016/S0168-9525(00)02024-2.
Kumar S, Nei M, Dudley J, Tamura K: MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences. Brief Bioinform. 2008, 9 (4): 299-306. 10.1093/bib/bbn017.
Notredame C, Higgins DG, Heringa J: T-Coffee: A novel method for fast and accurate multiple sequence alignment. J Mol Biol. 2000, 302: 205-217. 10.1006/jmbi.2000.4042.
Lloyd AL, Rasko DA, Mobley HLT: Defining genomic islands and uropathogen-specific genes in uropathogenic Escherichia coli. J Bacteriol. 2007, 189 (9): 3532-3546. 10.1128/JB.01744-06.
We would like to thank Prof. Zhen-Su She, and Lingjie Sang, Xiaobin Zheng, and Binbin Lai for beneficial discussions and help. We are grateful to Jaclyn Boyle's help on manuscript proofreading. This work received partial support from the National Natural Science Foundation (30970667, 30770499, 30300071 and 10721403) of China.
CWL carried out the reannotation process. GQH assisted with gene start adjustment, discussed on CDS calling, and make reannotation be publicly accessible to research community. CWL, GQH and HQZ drafted the manuscript. HQZ supervised the study. All authors read and approved the final manuscript.
Chengwei Luo, Gang-Qing Hu contributed equally to this work.
Electronic supplementary material
About this article
Cite this article
Luo, C., Hu, G. & Zhu, H. Genome reannotation of Escherichia coli CFT073 with new insights into virulence. BMC Genomics 10, 552 (2009) doi:10.1186/1471-2164-10-552
- Pathogenicity Island
- Original Annotation
- Conserve Domain Search
- sRNA Gene
- UPEC Strain