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Genome sequence of the Lotus corniculatus microsymbiont Mesorhizobium loti strain R88B

Abstract

Mesorhizobium loti strain R88B was isolated in 1993 in the Rocklands range in Otago, New Zealand from a Lotus corniculatus root nodule. R88B is an aerobic, Gram-negative, non-spore-forming rod. This report reveals the genome of M. loti strain R88B contains a single scaffold of size 7,195,110 bp which encodes 6,950 protein-coding genes and 66 RNA-only encoding genes. This genome does not harbor any plasmids but contains the integrative and conjugative element ICEMl SymR7A, also known as the R7A symbiosis island, acquired by horizontal gene transfer in the field environment from M. loti strain R7A. It also contains a mobilizable genetic element ICEMl adhR88B, that encodes a likely adhesin gene which has integrated downstream of ICEMl SymR7A, and three acquired loci that together allow the utilization of the siderophore ferrichrome. This rhizobial genome is one of 100 sequenced as part of the DOE Joint Genome Institute 2010 Genomic Encyclopedia for Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB) project.

Introduction

Mesorhizobium loti strain R88B was first described in studies that culminated in the discovery of the M. loti strain R7A symbiosis island [1, 2]. The research involved the characterization of genetic diversity within a population of mesorhizobia found beneath a stand of Lotus corniculatus located in the Rocklands range in Central Otago New Zealand. The site was established with a single inoculum strain ICMP3153 in an area lacking indigenous rhizobia capable of nodulating the plant. A group of genetically diverse mesorhizobial strains that included R88B were isolated from nodules seven years after the site was established. A field reisolate of ICMP3153 designated R7A was also isolated from the site and this strain has subsequently been used widely for molecular studies. Analysis of the diverse strains revealed that they all contained identical symbiotic DNA. Characterization of these strains led to the discovery of the 502-kb R7A symbiosis island, a mobile integrative and conjugative element that was subsequently renamed ICEMl SymR7A [3]. R88B contains no plasmids but ICEMl SymR7A is integrated at the phe-tRNA gene [1, 4]. On the basis of DNA-DNA hybridization, multi-locus enzyme electrophoresis and 16S rDNA sequence, R88B was shown to belong to the same genomic species as other symbiotic isolates and several nonsymbiotic isolates from the Rocklands site, but that strain R7A belonged to a different genomic species [5].

Examination of the genome sequence downstream of ICEMl SymR7A in R88B revealed the presence of another ICE, ICEMl adhR88B, that encoded a large (4681 amino acids) adhesin-like protein with 34 VCBS repeats and two proteins that likely comprise a Type I secretion system for the adhesin. ICEMl adhR88B also encoded an integrase, excisionase and traACD genes, indicating that the element is likely mobilizable by self-conjugative elements such as ICEMl SymR7A. The discovery of ICEMl adhR88B showed that genomic islands can integrate in tandem at the phe-tRNA locus and also indicated that mesorhizobia may gain adaptive traits by acquisition of integrated genomic islands rather than plasmids [6].

M. loti strain R88B was also the focus of a study that catalogued variation in the ability to utilize the siderophore ferrichrome within the diverse set of M. loti strains [7]. Within R88B, the functional fhu genes were found to be present in three co-ordinately regulated loci, each of which was independently acquired by the strain. The genes fhu BD that encode two of the three subunits of the ferrichrome ABC transporter were located downstream of ICEMl adhR88B and were absent from the previously sequenced genome of M. loti strain MAFF303099. This suggests that these genes may have been part of another ICE that had integrated at the phe-tRNA locus. The finding that RirA binding sites were located upstream of the loci suggests that the genes are probably subject to regulation by the iron-responsive repressor RirA, a copy of which is present in the R88B genome. The mosaic nature of the R88B fhu system, the variability observed in the ability of M. loti strains isolated from several sites in Central Otago, New Zealand to utilize ferrichrome, and the patchwork distribution of fhu genes in these strains suggests that these loci evolved through cycles of gene acquisition and deletion, with the positive selection pressure of an iron-poor or siderophore-rich environment being offset by the negative pressure of the Fhu receptor being a target for phage [7].

Here we present a summary classification and a set of general features for M. loti strain R88B together with the description of the complete genome sequence and annotation.

Organism information

Mesorhizobium loti strain R88B is in the order Rhizobiales of the class Alphaproteobacteria. Cells are described as non-sporulating, Gram-negative (Figure 1 Left), non-encapsulated, rods. The rod-shaped form varies in size with dimensions of 0.25–0.5 μm in width and 1–2 μm in length (Figure 1 Left and Center). They are moderately fast growing, forming 1 mm diameter colonies within 6 days and have a mean generation time of approximately 8–12 h when grown in TY broth at 28°C [1]. Colonies on G/RDM agar [8] and half strength Lupin Agar (½LA) [9] are white-opaque, slightly domed, mucoid with smooth margins (Figure 1 Right).

Figure 1
figure 1

Images of Mesorhizobium loti strain R88B from a Gram stain (Left), using scanning electron microscopy (Center) and the appearance of colony morphology on ½ LA (Right).

Strains of this organism are able to tolerate a pH range between 4 and 10. Carbon source utilization and fatty acid profiles of M. loti have been described previously [1012]. Minimum Information about the Genome Sequence (MIGS) is provided in Table 1.

Table 1 Classification and general features of Mesorhizobium loti strain R88B according to the MIGS recommendations [13, 14]

Figure 2 shows the phylogenetic neighborhood of M. loti strain R88B in a 16S rRNA gene sequence based tree. This strain has 99.7% sequence identity (1364/1367 bp) at the 16S rRNA sequence level to the sequenced M. australicum WSM2073 (GOLD ID: Gc02468) and 99.6% 16S rRNA sequence (1362/1367 bp) identity to the fully sequenced M. ciceri bv. biserrulae WSM1271 (GOLD ID: Gc01578).

Figure 2
figure 2

Phylogenetic tree showing the relationships of Mesorhizobium loti R88B with other root nodule bacteria based on aligned sequences of the 16S rRNA gene (1,290 bp internal region). All sites were informative and there were no gap-containing sites. Phylogenetic analyses were performed using MEGA [22], version 5. The tree was built using the Maximum-Likelihood method with the General Time Reversible model [23]. Bootstrap analysis [24] with 500 replicates was performed to assess the support of the clusters. Type strains are indicated with a superscript T. Brackets after the strain name contain a DNA database accession number and/or a GOLD ID (beginning with the prefix G) for a sequencing project registered in GOLD [25]. Published genomes are indicated with an asterisk.

Symbiotaxonomy

M. loti strain R88B was isolated from a stand of L. corniculatus bv. Goldie planted in 1986 at a field site which lacked naturalized rhizobia capable of nodulating the plant. The inoculum strain used was M. loti R7A (ICMP3153). The field site was an undeveloped tussock (Festuca novae-zealandiae and Chionochloa rigida) grassland located at an elevation of 885 m in Lammermoor, the Rocklands range, Otago, New Zealand. The soil was a dark brown silt loam with an acid pH (4.9) and a low (0.28%) total nitrogen content. Prior to establishment of the site, R88B likely existed as a soil saprophyte that lacked symbiotic DNA. Subsequent transfer of ICEMl SymR7A from the donor strain R7A converted R88B into a symbiont and, hence enabled R88B to nodulate L. corniculatus, leading to the isolation of R88B when field sampling was performed in 1993. R88B forms effective nodules on Lotus corniculatus, but it has not been tested on any other Lotus species to date.

Genome Sequencing Information

Genome project history

This organism was selected for sequencing on the basis of its environmental and agricultural relevance to issues in global carbon cycling, alternative energy production, and biogeochemical importance, and is part of the Community Sequencing Program at the U.S. Department of Energy, Joint Genome Institute (JGI), which is focused on projects of relevance to agency missions. The genome project is deposited in the Genomes OnLine Database [25] and an improved-high-quality-draft genome sequence in IMG. Sequencing, finishing and annotation were performed by the JGI. A summary of the project information is shown in Table 2.

Table 2 Genome sequencing project information for Mesorhizobium loti R88B

Growth conditions and DNA isolation

  1. M.

    loti strain R88B was grown to mid logarithmic phase in TY rich medium [26] on a gyratory shaker at 28°C at 250 rpm. DNA was isolated from 60 mL of cells using a CTAB (Cetyl trimethyl ammonium bromide) bacterial genomic DNA isolation method [27].

Genome sequencing and assembly

The draft genome of M. loti R88B was generated at the DOE JGI using Illumina [28] technology. For this genome, we constructed and sequenced an Illumina short-insert paired-end library with an average insert size of 270 bp which generated 17,358,418 reads and an Illumina long-insert paired-end library with an average insert size of 4,146+/-2,487 bp which generated 10,904,934 reads totaling 4,240 Mbp of Illumina data (unpublished, Feng Chen). All general aspects of library construction and sequencing performed at the JGI can be found at the DOE Joint Genome Institute website [29].

The initial draft assembly contained 41 contigs in 9 scaffolds. The initial draft data were assembled with Allpaths, version 39750, and the consensus was computationally shredded into 10 Kbp overlapping fake reads (shreds). The Illumina draft data were also assembled with Velvet, version 1.1.05 [30], and the consensus sequences were computationally shredded into 1.5 Kbp overlapping fake reads (shreds). The Illumina draft data were assembled again with Velvet using the shreds from the first Velvet assembly to guide the next assembly. The consensus from the second VELVET assembly was shredded into 1.5 Kbp overlapping fake reads. The fake reads from the Allpaths assembly and both Velvet assemblies and a subset of the Illumina CLIP paired-end reads were assembled using parallel phrap, version 4.24 (High Performance Software, LLC). Possible mis-assemblies were corrected with manual editing in Consed [3133]. Gap closure was accomplished using repeat resolution software (Wei Gu, unpublished), and sequencing of bridging PCR fragments with Sanger technology. For improved high quality draft, one round of manual/wet lab finishing was completed. A total of 23 additional sequencing reactions were completed to close gaps and to raise the quality of the final sequence. The total (“estimated size” for unfinished) size of the genome is 7.2 Mbp and the final assembly is based on 4,240 Mbp of Illumina draft data, which provided an average 589× coverage of the genome.

Genome annotation

Genes were identified using Prodigal [34] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePrimp pipeline [35]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. These data sources were combined to assert a product description for each predicted protein. Non-coding genes and miscellaneous features were predicted using tRNAscan-SE [36], RNAMMer [37], Rfam [38], TMHMM [39], and SignalP [40]. Additional gene prediction analyses and functional annotation were performed within the Integrated Microbial Genomes (IMG-ER) platform [41].

Genome properties

The genome is 7,195,110 nucleotides with 62.37% GC content (Table 3) and is comprised of a single scaffold and no plasmids. From a total of 7,016 genes, 6,950 were protein encoding and 66 RNA-only encoding genes. Within the genome, 189 pseudogenes were also identified. The majority of genes (79.13%) were assigned a putative function whilst the remaining genes were annotated as hypothetical. The distribution of genes into COGs functional categories is presented in Table 4 and Figure 3.

Table 3 Genome statistics for Mesorhizobium loti R88B
Table 4 Number of protein coding genes of Mesorhizobium loti R88B associated with the general COG functional categories
Figure 3
figure 3

Graphical map of the single scaffold of Mesorhizobium loti R88B. From bottom to the top: Genes on forward strand (color by COG categories as denoted by the IMG platform), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, sRNAs red, other RNAs black), GC content, GC skew.

Conclusion

The M. loti strain R88B genome consists of a single chromosome of 7.2 Mb predicted to encode 7,016 genes. The sequencing was completed to the stage where a single scaffold comprising 14 contigs was obtained. M. loti strain R88B was isolated in New Zealand as a strain that gained symbiotic ability through receiving the M. loti strain R7A symbiosis island (now referred to as ICEMl SymR7A) in the field environment [13]. On the basis of 16S rRNA gene sequence similarity, strains able to nodulate Lotus species that have been examined to date appear to fall into two clusters (Figure 2). R88B is more closely related to M. loti strains LMG 6125 and CJ3Sym and M. ciceri strains NBRC 100389 and bv. biserrulae WSM1271, than to strains R7A, NZP2037 and MAFF303099 from which its 16SrRNA gene differs by over 20 nucleotides. It is clear that within the mesorhizobia the degree of 16S rRNA gene sequence similarity observed between strains does not necessarily reflect host range. Strain R88B was also shown to contain at least two further regions of acquired DNA adjacent to ICEMl symR7A that were likely present prior to arrival of ICEMl SymR7A, indicating that tandem, sequential acquisition of elements that provide adaptive traits occurred at the phe-tRNA locus. One of these elements, ICEMl AdhR88B, encoded an adhesin and tra genes required for mobilization in trans by another conjugative element. The other was a region containing fhu genes involved in iron acquisition that was found to be one of three genomic regions required for utilization of the siderophore ferrichrome [6].

References

  1. Sullivan JT, Patrick HN, Lowther WL, Scott DB, Ronson CW: Nodulating strains of Rhizobium loti arise through chromosomal symbiotic gene transfer in the environment. Proc Natl Acad Sci USA 1995, 92: 8985–9. PubMed [http://dx.doi.org/10.1073/pnas.92.19.8985] 10.1073/pnas.92.19.8985

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  2. Sullivan JT, Ronson CW: Evolution of rhizobia by acquisition of a 500-kb symbiosis island that integrates into a phe-tRNA gene. Proc Natl Acad Sci USA 1998, 95: 5145–9. PubMed [http://dx.doi.org/10.1073/pnas.95.9.5145] 10.1073/pnas.95.9.5145

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  3. Ramsay JP, Sullivan JT, Stuart GS, Lamont IL, Ronson CW: Excision and transfer of the Mesorhizobium loti R7A symbiosis island requires an integrase IntS, a novel recombination directionality factor RdfS, and a putative relaxase RlxS. Mol Microbiol 2006, 62: 723–34. PubMed [http://dx.doi.org/10.1111/j.1365–2958.2006.05396.x] 10.1111/j.1365-2958.2006.05396.x

    Article  CAS  PubMed  Google Scholar 

  4. Sullivan JT, Trzebiatowski JR, Cruickshank RW, Gouzy J, Brown SD, Elliot RM, Fleetwood DJ, McCallum NG, Rossbach U, Stuart GS, Weaver JE, Webby RJ, De Bruijn FJ, Ronson CW: Comparative sequence analysis of the symbiosis island of Mesorhizobium loti strain R7A. J Bacteriol 2002, 184: 3086–95. PubMed [http://dx.doi.org/10.1128/JB.184.11.3086–3095.2002] 10.1128/JB.184.11.3086-3095.2002

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Sullivan JT, Eardly BD, van Berkum P, Ronson CW: Four unnamed species of nonsymbiotic rhizobia isolated from the rhizosphere of Lotus corniculatus . Appl Environ Microbiol 1996, 62: 2818–25. PubMed

    PubMed Central  CAS  PubMed  Google Scholar 

  6. Ronson CW, Sullivan JT, Wijkstra GS, Carlton T, Muirhead K, Trzebiatowski JR, Gouzy J, Debruijn FJ: Genome diversity at the phe-tRNA locus in a field population of mesorhizobia. In Nitrogen Fixation: Global Perspectives Edited by: Finan TM, O’Brian MR, Layzell DB, Vessey JK, Newton WE. 2002, 66–70.

    Google Scholar 

  7. Carlton TM, Sullivan JT, Stuart GS, Hutt K, Lamont IL, Ronson CW: Ferrichrome utilization in a mesorhizobial population: microevolution of a three-locus system. Environ Microbiol 2007, 9: 2923–32. PubMed [http://dx.doi.org/10.1111/j.1462–2920.2007.01402.x] 10.1111/j.1462-2920.2007.01402.x

    Article  CAS  PubMed  Google Scholar 

  8. Ronson CW, Nixon BT, Albright LM, Ausubel FM: Rhizobium meliloti ntrA ( rpoN ) gene is required for diverse metabolic functions. J Bacteriol 1987, 169: 2424–31. PubMed

    PubMed Central  CAS  PubMed  Google Scholar 

  9. Howieson JG, Ewing MA, D’antuono MF: Selection for acid tolerance in Rhizobium meliloti . Plant Soil 1988, 105: 179–88. [http://dx.doi.org/10.1007/BF02376781] 10.1007/BF02376781

    Article  CAS  Google Scholar 

  10. Jarvis BDW, Pankhurst CE, Patel JJ: Rhizobium loti , a new species of legume root nodule bacteria. Int J Syst Bacteriol 1982, 32: 378–80. [http://dx.doi.org/10.1099/00207713–32–3-378] 10.1099/00207713-32-3-378

    Article  Google Scholar 

  11. Jarvis BDW, Van Berkum P, Chen WX, Nour SM, Fernandez MP, Cleyet-Marel JC, Gillis M: Transfer of Rhizobium loti , Rhizobium huakuii , Rhizobium ciceri , Rhizobium mediterraneum , Rhizobium tianshanense to Mesorhizobium gen.nov. Int J Syst Evol Microbiol 1997, 47: 895–8.

    Google Scholar 

  12. Tighe SW, de Lajudie P, Dipietro K, Lindstrom K, Nick G, Jarvis BDW: Analysis of cellular fatty acids and phenotypic relationships of Agrobacterium , Bradyrhizobium , Mesorhizobium , Rhizobium and Sinorhizobium species using the Sherlock Microbial Identification System. Int J Syst Evol Microbiol 2000, 50: 787–801. PubMed [http://dx.doi.org/10.1099/00207713–50–2-787] 10.1099/00207713-50-2-787

    Article  CAS  PubMed  Google Scholar 

  13. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen M, Angiuoli S, Ashburner M, Axelrod N, Baldauf S, Ballard S, Boore J, Cochrane G, Cole J, Dawyndt P, Vos P, dePamphilis C, Edwards R, Faruque N, Feldman R, Gilbert J, Gilna P, Glöckner F, Goldstein P, Guralnick R, Haft D, Hancock D, et al.: Towards a richer description of our complete collection of genomes and metagenomes “Minimum Information about a Genome Sequence” (MIGS) specification. Nat Biotechnol 2008, 26: 541–7. PubMed [http://dx.doi.org/10.1038/nbt1360] 10.1038/nbt1360

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Woese CR, Kandler O, Wheelis ML: Towards a natural system of organisms: proposal for the domains Archaea , Bacteria, and Eucarya. Proc Natl Acad Sci USA 1990, 87: 4576–9. PubMed [http://dx.doi.org/10.1073/pnas.87.12.4576] 10.1073/pnas.87.12.4576

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Garrity GM, Bell JA, Lilburn T: Phylum XIV. Proteobacteria phyl. nov. In Bergey’s Manual of Systematic Bacteriology, 2nd edition, Volume 2, Part B. Edited by: Garrity GM, Brenner DJ, Krieg NR, Staley JT. New York: Springer; 2005:1.

    Chapter  Google Scholar 

  16. Garrity GM, Bell JA, Lilburn T: Class I. Alphaproteobacteria class. In Bergey’s Manual of Systematic Bacteriology. 2nd edition. Edited by: Garrity GM, Brenner DJ, Kreig NR, Staley JT. New York: Springer - Verlag; 2005.

    Google Scholar 

  17. Validation List No. 107: List of new names and new combinations previously effectively, but not validly, published. Int J Syst Evol Microbiol 2006, 56: 1–6. PubMed [http://dx.doi.org/10.1099/ijs.0.64188–0]

    Article  Google Scholar 

  18. Kuykendall LD: Order VI. Rhizobiales ord. nov. In Bergey’s Manual of Systematic Bacteriology. 2nd edition. Edited by: Garrity GM, Brenner DJ, Kreig NR, Staley JT. New York: Springer - Verlag; 2005:324.

    Google Scholar 

  19. Mergaert J, Swings J: Family IV. Phyllobacteriaceae . In Bergy’s Manual of Systematic Bacteriology. 2nd edition. Edited by: Garrity GM, Brenner DJ, Kreig NR, Staley JT. New York: Springer - Verlag; 2005:393.

    Google Scholar 

  20. Biological Agents. Technical rules for biological agents. TRBA 466.

  21. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000, 25: 25–9. PubMed [http://dx.doi.org/10.1038/75556] 10.1038/75556

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 2011, 28: 2731–9. PubMed [http://dx.doi.org/10.1093/molbev/msr121] 10.1093/molbev/msr121

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Nei M, Kumar S: Molecular Evolution and Phylogenetics. New York: Oxford University Press; 2000.

    Google Scholar 

  24. Felsenstein J: Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985, 39: 783–91. [http://dx.doi.org/10.2307/2408678] 10.2307/2408678

    Article  Google Scholar 

  25. Liolios K, Mavromatis K, Tavernarakis N, Kyrpides NC: The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res 2008, 36: D475–9. PubMed [http://dx.doi.org/10.1093/nar/gkm884] 10.1093/nar/gkn240

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Beringer JE: R factor transfer in Rhizobium leguminosarum . J Gen Microbiol 1974, 84: 188–98. PubMed [http://dx.doi.org/10.1099/00221287–84–1-188] 10.1099/00221287-84-1-188

    Article  CAS  PubMed  Google Scholar 

  27. DOE JGI user homepage [http://my.jgi.doe.gov/general/index.html]

  28. Bennett S: Solexa Ltd. Pharmacogenomics 2004, 5: 433–8. PubMed [http://dx.doi.org/10.1517/14622416.5.4.433] 10.1517/14622416.5.4.433

    Article  PubMed  Google Scholar 

  29. DOE Joint Genome Institute [http://www.jgi.doe.gov/]

  30. Zerbino DR: Using the Velvet de novo assembler for short-read sequencing technologies. Curr Protoc Bioinformatics 2010, Chapter 11: Unit 11 5.

    PubMed  Google Scholar 

  31. Ewing B, Green P: Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res 1998, 8: 186–94. PubMed [http://dx.doi.org/10.1101/gr.8.3.175]

    Article  CAS  PubMed  Google Scholar 

  32. Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res 1998, 8: 175–85. PubMed [http://dx.doi.org/10.1101/gr.8.3.175] 10.1101/gr.8.3.175

    Article  CAS  PubMed  Google Scholar 

  33. Gordon D, Abajian C, Green P: Consed: a graphical tool for sequence finishing. Genome Res 1998, 8: 195–202. PubMed [http://dx.doi.org/10.1101/gr.8.3.195] 10.1101/gr.8.3.195

    Article  CAS  PubMed  Google Scholar 

  34. Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ: Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 2010, 11: 119. PubMed [http://dx.doi.org/10.1186/1471–2105–11–119] 10.1186/1471-2105-11-119

    Article  PubMed Central  PubMed  Google Scholar 

  35. Pati A, Ivanova NN, Mikhailova N, Ovchinnikova G, Hooper SD, Lykidis A, Kyrpides NC: GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes. Nat Methods 2010, 7: 455–7. PubMed [http://dx.doi.org/10.1038/nmeth.1457] 10.1038/nmeth.1457

    Article  CAS  PubMed  Google Scholar 

  36. Lowe TM, Eddy SR: tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 1997, 25: 955–64. PubMed [http://dx.doi.org/10.1093/nar/25.5.0955] 10.1093/nar/25.5.0955

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW: RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 2007, 35: 3100–8. PubMed [http://dx.doi.org/10.1093/nar/gkm160] 10.1093/nar/gkm160

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  38. Griffiths-Jones S, Bateman A, Marshall M, Khanna A, Eddy SR: Rfam: an RNA family database. Nucleic Acids Res 2003, 31: 439–41. PubMed [http://dx.doi.org/10.1093/nar/gkg006] 10.1093/nar/gkg006

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Krogh A, Larsson B, von Heijne G, Sonnhammer EL: Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 2001, 305: 567–80. PubMed [http://dx.doi.org/10.1006/jmbi.2000.4315] 10.1006/jmbi.2000.4315

    Article  CAS  PubMed  Google Scholar 

  40. Bendtsen JD, Nielsen H, von Heijne G, Brunak S: Improved prediction of signal peptides: SignalP 3.0. J Mol Biol 2004, 340: 783–95. PubMed [http://dx.doi.org/10.1016/j.jmb.2004.05.028] 10.1016/j.jmb.2004.05.028

    Article  PubMed  Google Scholar 

  41. Markowitz VM, Mavromatis K, Ivanova NN, Chen IM, Chu K, Kyrpides NC: IMG ER: a system for microbial genome annotation expert review and curation. Bioinformatics 2009, 25: 2271–8. PubMed [http://dx.doi.org/10.1093/bioinformatics/btp393] 10.1093/bioinformatics/btp393

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work was performed under the auspices of the US Department of Energy Office of Science, Biological and Environmental Research Program, and by the University of California, Lawrence Berkeley National Laboratory under contract No. DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344, and Los Alamos National Laboratory under contract No. DE-AC02-06NA25396.

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Correspondence to Wayne Reeve.

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The authors declare that they have no competing interests.

Authors’ contributions

JS and CR supplied the strain and background information for this project and helped WR write the paper, TR supplied DNA to JGI and performed all imaging, WR coordinated the project and all other authors were involved in either sequencing the genome and/or editing the paper. All authors read and approved the final manuscript.

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Reeve, W., Sullivan, J., Ronson, C. et al. Genome sequence of the Lotus corniculatus microsymbiont Mesorhizobium loti strain R88B. Stand in Genomic Sci 9, 3 (2014). https://doi.org/10.1186/1944-3277-9-3

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