Optical mapping as a routine tool for bacterial genome sequence finishing
© Latreille et al; licensee BioMed Central Ltd. 2007
Received: 19 December 2006
Accepted: 14 September 2007
Published: 14 September 2007
In sequencing the genomes of two Xenorhabdus species, we encountered a large number of sequence repeats and assembly anomalies that stalled finishing efforts. This included a stretch of about 12 Kb that is over 99.9% identical between the plasmid and chromosome of X. nematophila.
Whole genome restriction maps of the sequenced strains were produced through optical mapping technology. These maps allowed rapid resolution of sequence assembly problems, permitted closing of the genome, and allowed correction of a large inversion in a genome assembly that we had considered finished.
Our experience suggests that routine use of optical mapping in bacterial genome sequence finishing is warranted. When combined with data produced through 454 sequencing, an optical map can rapidly and inexpensively generate an ordered and oriented set of contigs to produce a nearly complete genome sequence assembly.
Xenorhabdus species are symbiotic bacteria associated with insectivorous nematodes of the genus Steinernema (for review see ) They reside in a specialized segment of the nematode gut [2, 3], and provide insecticidal proteins [4, 5] and small molecules [6–10] that help to kill the insect larvae that are the prey of the nematode. Both organisms reproduce in the dead larvae, the Xenorhabdus colonize the young nematodes, and the cycle repeats . Xenorhabdus are closely related to the enteric gamma proteobacteria such as Escherichia coli , and are an emerging model for both mutualism and pathogenicity in invertebrate hosts. To better understand the genetic basis of these relationships, we are sequencing the genomes of two Xenorhabdus species: X. nematophila ATCC 19061 and an X. bovienii strain from Monsanto's collection.
In the course of this work, we found that the X. nematophila genome contained large numbers of highly repetitive DNA regions, and efforts to finish the genome stalled. We sought a means to produce whole-genome maps for comparison with the genomic DNA sequence, and identified optical mapping as a useful means to align and orient the genome sections in silico. In addition, we produced an optical map of a second genome that we had considered finished, and identified a large sequence inversion that would have otherwise been unnoticed.
A whole-genome restriction map permits finishing of the X. nematophila genome sequence
Eight-fold genome sequence coverage of X. nematophila ATCC19061 (Goodrich-Blair et al, in preparation) was generated, with 26,976 reads from a 2–4 kb insert library and 41,376 reads from a 4–8 kb insert library. This yielded an initial assembly consisting of 100 contiguous sequences (contigs) greater than 2 kb, 14 contigs greater than 100 kb, and 2 contigs greater than 200 kb length. Our initial research had shown the presence of a 150 Kb plasmid in addition to the circular chromosome (Goodrich-Blair and Goodner, unpublished).
It became rapidly clear that multiple areas of repeated sequence were causing problems. In fact, the final X. nematophila sequence assembly shows a nearly identical 12 Kb region found on both the plasmid and chromosome, many transposons (including over 30 copies of a single transposon) scattered throughout the genome, and seven rRNA regions. Using the paired clone-end sequences and syntenic comparison to the related species Photorhabdus luminescens , resolution of misassembles and gap closure was attempted by walking across individual clones and amplifying potentially adjacent regions using the polymerase chain reaction (PCR). The resulting assembly contained over 50 contigs, but most lacked linkage information from gap-spanning paired ends. Multiplex PCR resolved some gaps, but provided no indication about whether the amplified product was actually the correct size, whether a particular gap was resistant to amplification, or whether a reaction failed because the primers were not properly paired to cross a gap. After four months of concerted effort, the assembly still contained 36 contigs which collectively contained several hundred copies of transposons plus seven ribosomal RNA coding regions. Given this complexity, optical mapping was attempted to provide a structural scaffold for aligning and orienting the contigs.
Optical mapping permits assembly of whole-genome restriction endonuclease maps by digesting immobilized DNA molecules and determining the size and order of fragments [14–22]. In collaboration with OpGen Technologies (Madison, WI), optical maps of X. nematophila ATCC19061 were produced using AflII and EagI restriction enzymes. Through repeated overlapping of restriction maps from individual molecules (over 50-fold coverage), OpGen's assembler program reconstructed the ordered restriction map of the genome .
Optical mapping identifies an assembly error in the X. bovienii sequence
In addition to X. nematophila, we had previously sequenced and assembled the genome of the related organism X. bovienii using traditional finishing technologies. Although the X. bovienii genome does not contain as many repeats as that of X. nematophila, the X. nematophila project had shown the value of non-sequence-based methodologies in validating sequence assemblies. After generating an optical map for X. bovienii (NCBI designation Xenorhabdus bovienii SS-2004) using Afl III, a large inversion was detected in the sequence assembly, permitting a simple re-orientation of the data and correction of the genome sequence (Figure 1 panel D). It is doubtful that this assembly inversion would have been detected without the optical map.
The Xenorhabdus genomes analyzed in this project contain many highly repetitive regions, and these became a major obstacle in our attempts to assemble the genome sequences. Genome finishing traditionally relies on cosmid libraries or overlapping restriction maps of BACs to build larger meta-contigs. With the X. nematophila genome the traditional approach failed, and we used a genome-scale restriction map generated by optical mapping. This permitted rapid and accurate closing of X. nematophila, and provided savings of labor, reagents and time. Finishing the X. nematophila genome sequence would have otherwise required production of a fine-scale genetic-physical map at much greater cost in time and materials. Optical mapping also identified an inversion in the X. bovienii genome sequence assembly that we had considered finished.
High throughput processes like DNA sequencing normally require trade-offs among cost, speed, and data quality. Sequencing costs are being reduced, and speed increased, by novel methods such as the pyrosequencing technology of 454 Life Sciences [24, 25]. However, 454 technology produces shorter sequences (100 to 250 bases per reaction) than traditional Sanger sequencing using ABI instrumentation (800–1000 bases per reaction). These shorter 454-derived sequences mean that sequence contigs are also, on average, shorter than those produced using ABI instruments. However, the lower quality of sequence assemblies from 454 data is compensated by speed and cost considerations. Excluding the cost of purchasing the instrumentation and labor, a typical 5 Mb bacterial genome takes approximately 2 days and costs about $6,000 in consumables using 454. The same genome sequence produced by ABI instrumentation would cost approximately 10-fold more and take several weeks. In our experience, a typical 5 Mb assembly using 454 data would contain about 80–90 contigs, with an average length around 60–70 Kb. A similar genome assembled using data from ABI 3730 instruments would contain about 50 contigs with an average length >100 kb. Both strategies would typically add about 4,000 end-paired sequences from cosmids or phosmids to help scaffold the genome, at a cost of about another $4,000.
The current cost for an optical map with a single enzyme is approximately $7,000, and adding a second enzyme costs around another $3,000 (in our experience, only one enzyme is typically required). The optical mapping system can accurately quantify fragments down to about 4 kb in size, and a contig of 40 kb has an approximately 80% probability of being placed within a whole genome optical map (OpGen, unpublished data). When all of these data are combined, a 454 shotgun sequence plus cosmid end sequences and an optical map, can produce an assembled and oriented set of contigs containing about 95% of the genome for under $20,000 with very limited input by a human finisher. This is about one-fifth the cost of a project produced through traditional means, provides very high quality data, and puts production of finished bacterial genomes within the reach of even small labs. We are currently working on a genome produced in this manner that will be primarily closed using undergraduate researchers supported by some bioinformatics infrastructure.
Even on these relatively small genomes, the whole-genome maps were very valuable. In the X. nematophila project, we had the advantages of long sequence reads and clone end-pairing data, yet still were unable to assemble contigs because of the presence of numerous highly repetitive sequences. The optical map allowed rapid closure of one genome and identified an assembly error in a fully-assembled genome sequence that gave no prior indication of having errors.
As shotgun sequencing costs come down, the optical map becomes a significant portion of the budget for a new bacterial genome sequence. However, for genomes that contain particularly large numbers of repetitive sequences, require finishing, or simply require ordered and oriented contigs from shotgun sequence, an optical map can increase the speed and decrease the overall cost of the project. We also expect that mapping costs will come down as optical mapping becomes more routinely used by sequencing centers, and as resolution of fragment size moves toward the 1–2 kb range. We now routinely confirm the in silico assemblies of bacterial genomes using a whole-genome restriction map, and believe this is a relatively low cost method to speed finishing and ensure accuracy of finished bacterial genome sequences.
Genomic library construction, DNA sequencing, and finishing
The genomic DNA was sonicated at scale of 8.5 for two seconds, repeated 3 times (Missonex Inc. Sonicator XL2020). The ends were repaired using T4 DNA polymerase and T4 kinase (NEB) and fractionated on a 1% agarose gel. Fractions representing size ranges 2–4 KB and 4–8 KB were excised from the gel and purified using a Qiagen Gel Quick extraction column (Qiagen, Cat No 28704). DNA samples from the isolated fractions were checked for size on an agarose gel and then ligated into pUC18.
Clones were plated and colonies picked on a Q-Bot (Genetix), to achieve 80% of sequence from the 2–4 KB library and 20% of sequence from the 4–8 KB library. Each template was sequenced using the Big Dye terminator protocol (Applied Biosystems) and analyzed on ABI 3700 and ABI 3730 sequencers. Both the forward (M13 -40) and reverse (M13 -21) primer were used on each template, yielding two related sequences per subclone. Data were assembled using phred/phrap (ver. 0.990319; [26, 27]), and finished in Consed and Autofinish (v.13.0; [28–30]) using a variety of directed primer walks on subclones, and using PCR/walking to close any gaps. The sequence assemblies were confirmed by OpGen using optical mapping, as described below and previously [14–22]. These alignments were viewed using OpGen's MapViewer software (Figure 1; see below).
Optical map construction
Optical maps were prepared at OpGen Technologies, Inc. (Madison, WI) according to methods described previously [22, 23]. Briefly, high molecular weight DNA was prepared by first embedding bacterial cells harvested at stationary phase in low melting temperature agarose plugs, followed by treatment with bacterial lysing solutions. The genomic DNA was recovered after thoroughly rinsing the plugs in TE followed by melting the plugs at 42 C and subsequent treatment with β-agarase. The high molecular weight DNA was then immobilized as individual molecules onto Optical Chips, digested with EagI or AflII restriction enzymes (New England Biolabs), fluorescently stained with YOYO-1 (Invitrogen) and positioned onto an automated fluorescent microscope system for image capture and fragment size measurement, resulting in high resolution single-molecule restriction maps. Collections of single molecule maps were then assembled to produce whole genome, ordered restriction maps.
Comparisons between Optical maps and sequence contigs were performed as described previously . Sequence FASTA files were converted to in silico restriction maps via the MapViewer software (OpGen Technologies, Inc.) for direct comparison to the Optical maps. Comparisons were accomplished by aligning the sequence with the Optical maps according to their restriction fragment pattern. Alignments were generated with a dynamic programming algorithm which finds the optimal location, or placement, of a sequence contig by first performing a global alignment of the sequence contig against the Optical map. Local alignment analysis were also performed where segments of the sequence contigs were compared to the Optical map.
This work was funded by USDA Grant 2004-35600-14181, by NSF Grant 0603491, and by the Monsanto Company.
- Forst S, Dowds B, Boemare N, Stackebrandt E: Xenorhabdus and Photorhabdus spp.: bugs that kill bugs. Annu Rev Microbiol. 1997, 51: 47-72. 10.1146/annurev.micro.51.1.47.PubMedView ArticleGoogle Scholar
- Bird AF, Akhurst RJ: The nature of the intestinal vesicle in nematodes of the family Steinernematidae. Int J Parasitol. 1983, 13: 599-606. 10.1016/S0020-7519(83)80032-0.View ArticleGoogle Scholar
- Poinar GO: The presence of Achromobacter nematophilus in the infective stage of a Neoaplectana sp. (Steinernematidae: Nematoda). Nematologica. 1966, 12: 105-108.View ArticleGoogle Scholar
- Morgan JA, Sergeant M, Ellis D, Ousley M, Jarrett P: Sequence analysis of insecticidal genes from Xenorhabdus nematophilus PMFI296. Appl Environ Microbiol. 2001, 67 (5): 2062-2069. 10.1128/AEM.67.5.2062-2069.2001.PubMed CentralPubMedView ArticleGoogle Scholar
- Sergeant M, Jarrett P, Ousley M, Morgan JA: Interactions of insecticidal toxin gene products from Xenorhabdus nematophilus PMFI296. Appl Environ Microbiol. 2003, 69 (6): 3344-3349. 10.1128/AEM.69.6.3344-3349.2003.PubMed CentralPubMedView ArticleGoogle Scholar
- Hwang SY, Paik S, Park SH, Kim HS, Lee IS, Kim SP, Baek WK, Suh MH, Kwon TK, Park JW, Park JB, Lee JJ, Suh SI: N-phenethyl-2-phenylacetamide isolated from Xenorhabdus nematophilus induces apoptosis through caspase activation and calpain-mediated Bax cleavage in U937 cells. Int J Oncol. 2003, 22 (1): 151-157.PubMedGoogle Scholar
- Kim Y, Ji D, Cho S, Park Y: Two groups of entomopathogenic bacteria, Photorhabdus and Xenorhabdus, share an inhibitory action against phospholipase A2 to induce host immunodepression. J Invertebr Pathol. 2005, 89 (3): 258-264. 10.1016/j.jip.2005.05.001.PubMedView ArticleGoogle Scholar
- Paik S, Park YH, Suh SI, Kim HS, Lee IS, Park MK, Lee CS, Park SH: Unusual cytotoxic phenethylamindes from Xenorhabdus nematophila. Bull Korean Chem Soc. 2001, 22: 372-374.Google Scholar
- Park Y, Kim Y: Xenorhabdus nematophilus inhibits p-bromophenacyl bromide (BPB)-sensitive PLA2 of Spodoptera exigua. Arch Insect Biochem Physiol. 2003, 54 (3): 134-142. 10.1002/arch.10108.PubMedView ArticleGoogle Scholar
- Park Y, Kim Y, Putnam SM, Stanley DW: The bacterium Xenorhabdus nematophilus depresses nodulation reactions to infection by inhibiting eicosanoid biosynthesis in tobacco hornworms, Manduca sexta. Arch Insect Biochem Physiol. 2003, 52 (2): 71-80. 10.1002/arch.10076.PubMedView ArticleGoogle Scholar
- Forst S, Clarke D: Bacteria-nematode symbioses. Entomopathogenic Nematology. Edited by: Gaugler R. 2002, Wallingford: CABI Publishing, 57-77.View ArticleGoogle Scholar
- Boemare N: Biology, taxonomy and systematics of Photorhabdus and Xenorhabdus. Entomopathogenic Nematology. Edited by: Gaugler R. 2002, Wallingford: CABI PublishingGoogle Scholar
- Duchaud E, Rusniok C, Frangeul L, Buchrieser C, Givaudan A, Taourit S, Bocs S, Boursaux-Eude C, Chandler M, Charles JF, Dassa E, Derose R, Derzelle S, Freyssinet G, Gaudriault S, Medigue C, Lanois A, Powell K, Siguier P, Vincent R, Wingate V, Zouine M, Glaser P, Boemare N, Danchin A, Kunst F: The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens. Nat Biotechnol. 2003, 21 (11): 1307-1313. 10.1038/nbt886.PubMedView ArticleGoogle Scholar
- Schwartz DC, Li X, Hernandez LI, Ramnarain SP, Huff EJ, Wang YK: Ordered restriction maps of Saccharomyces cerevisiae chromosomes constructed by optical mapping. Science. 1993, 262 (5130): 110-114. 10.1126/science.8211116.PubMedView ArticleGoogle Scholar
- Cai W, Aburatani H, Stanton VP, Housman DE, Wang YK, Schwartz DC: Ordered restriction endonuclease maps of yeast artificial chromosomes created by optical mapping on surfaces. Proc Natl Acad Sci USA. 1995, 92 (11): 5164-5168. 10.1073/pnas.92.11.5164.PubMed CentralPubMedView ArticleGoogle Scholar
- Cai W, Jing J, Irvin B, Ohler L, Rose E, Shizuya H, Kim UJ, Simon M, Anantharaman T, Mishra B, Schwartz DC: High-resolution restriction maps of bacterial artificial chromosomes constructed by optical mapping. Proc Natl Acad Sci USA. 1998, 95 (7): 3390-3395. 10.1073/pnas.95.7.3390.PubMed CentralPubMedView ArticleGoogle Scholar
- Anantharaman T, Mishra B, Schwartz D: Genomics via optical mapping. III: Contiging genomic DNA. Proc Int Conf Intell Syst Mol Biol. 1999, 18-27.Google Scholar
- Jing J, Reed J, Huang J, Hu X, Clarke V, Edington J, Housman D, Anantharaman TS, Huff EJ, Mishra B, Porter B, Shenker A, Wolfson E, Hiort C, Kantor R, Aston C, Schwartz DC: Automated high resolution optical mapping using arrayed, fluid-fixed DNA molecules. Proc Natl Acad Sci USA. 1998, 95 (14): 8046-8051. 10.1073/pnas.95.14.8046.PubMed CentralPubMedView ArticleGoogle Scholar
- Lai Z, Jing J, Aston C, Clarke V, Apodaca J, Dimalanta ET, Carucci DJ, Gardner MJ, Mishra B, Anantharaman TS, Paxia S, Hoffman SL, Craig Venter J, Huff EJ, Schwartz DC: A shotgun optical map of the entire Plasmodium falciparum genome. Nat Genet. 1999, 23 (3): 309-313. 10.1038/15484.PubMedView ArticleGoogle Scholar
- Lin J, Qi R, Aston C, Jing J, Anantharaman TS, Mishra B, White O, Daly MJ, Minton KW, Venter JC, Schwartz DC: Whole-genome shotgun optical mapping of Deinococcus radiodurans. Science. 1999, 285 (5433): 1558-1562. 10.1126/science.285.5433.1558.PubMedView ArticleGoogle Scholar
- Lim A, Dimalanta ET, Potamousis KD, Yen G, Apodoca J, Tao C, Lin J, Qi R, Skiadas J, Ramanathan A, Perna NT, Plunkett G, Burland V, Mau B, Hackett J, Blattner FR, Anantharaman TS, Mishra B, Schwartz DC: Shotgun optical maps of the whole Escherichia coli O157:H7 genome. Genome Res. 2001, 11 (9): 1584-1593. 10.1101/gr.172101.PubMed CentralPubMedView ArticleGoogle Scholar
- Chen Q, Savarino SJ, Venkatesan MM: Subtractive hybridization and optical mapping of the enterotoxigenic Escherichia coli H10407 chromosome: isolation of unique sequences and demonstration of significant similarity to the chromosome of E. coli K-12. Microbiology. 2006, 152 (Pt 4): 1041-1054. 10.1099/mic.0.28648-0.PubMedView ArticleGoogle Scholar
- Reslewic S, Zhou S, Place M, Zhang Y, Briska A, Goldstein S, Churas C, Runnheim R, Forrest D, Lim A, Lapidus A, Han CS, Roberts GP, Schwartz DC: Whole-genome shotgun optical mapping of Rhodospirillum rubrum. Appl Environ Microbiol. 2005, 71 (9): 5511-5522. 10.1128/AEM.71.9.5511-5522.2005.PubMed CentralPubMedView ArticleGoogle Scholar
- Edwards RA, Rodriguez-Brito B, Wegley L, Haynes M, Breitbart M, Peterson DM, Saar MO, Alexander S, Alexander EC, Rohwer F: Using pyrosequencing to shed light on deep mine microbial ecology. BMC Genomics. 2006, 7: 57-10.1186/1471-2164-7-57.PubMed CentralPubMedView ArticleGoogle Scholar
- Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Irzyk GP, Jando SC, Alenquer ML, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J: Genome sequencing in microfabricated high-density picolitre reactors. Nature. 2005, 437 (7057): 376-380.PubMed CentralPubMedGoogle Scholar
- Ewing B, Green P: Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res. 1998, 8 (3): 186-194.PubMedView ArticleGoogle Scholar
- Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8 (3): 175-185.PubMedView ArticleGoogle Scholar
- Gordon D: Viewing and Editing Assembled Sequences Using Consed. Current Protocols in Bioinformatics. Edited by: Baxevanis AD, Davison DB. 2004, New York: John Wiley & Co, 11.12.11-11.12.43.Google Scholar
- Gordon D, Abajian C, Green P: Consed: a graphical tool for sequence finishing. Genome Res. 1998, 8 (3): 195-202.PubMedView ArticleGoogle Scholar
- Gordon D, Desmarais C, Green P: Automated finishing with autofinish. Genome Res. 2001, 11 (4): 614-625. 10.1101/gr.171401.PubMed CentralPubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.