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Complete genome sequence of Mesorhizobium australicum type strain (WSM2073T)


Mesorhizobium australicum strain WSM2073T was isolated from root nodules on the pasture legume Biserrula pelecinus growing in Australia in 2000. This aerobic, motile, gram negative, non-spore-forming rod is poorly effective in N2 fixation on B. pelecinus and has gained the ability to nodulate B. pelecinus following in situ lateral transfer of a symbiosis island from the original inoculant strain for this legume, Mesorhizobium ciceri bv. biserrulae WSM1271. We describe that the genome size of M. australicum strain WSM2073T is 6,200,534 bp encoding 6,013 protein-coding genes and 67 RNA-only encoding genes. This genome does not contain any plasmids but has a 455.7 kb genomic island from Mesorhizobium ciceri bv. biserrulae WSM1271 that has been integrated into a phenylalanine-tRNA gene.


Biological nitrogen fixation (BNF) contributes substantially to the productivity of sustainable agriculture around the world and approximately 80% of biologically fixed nitrogen (N) is estimated to be contributed by the symbiotic association between root nodule bacteria (RNB) and leguminous plants [1]. This process of symbiotic nitrogen fixation (SNF) enables 175 million tons of atmospheric nitrogen (N2) to be fixed each year into a plant available form. SNF therefore reduces the need to apply fertilizer to provide bioavailable nitrogen, decreases greenhouse gas emissions derived from fertilizer manufacture, alleviates chemical leaching into the environment from the over application of fertilizer, and substantially enhances soil nitrogen for crop and animal production [24]. Because of substantial SNF benefits, considerable effort has been devoted to sourcing legumes from different geographical locations to improve legume productivity in different agricultural settings [3].

The Mediterranean legume Biserrula pelecinus L. is one of only three deep rooted annual legume species widely used in commerce with the potential to reduce the development of dryland salinity in Australia and was therefore introduced into Australia in 1994. Native RNB in Australian soil were not capable of nodulating B. pelecinus and therefore this host was inoculated with the inoculant strain Mesorhizobium ciceri bv. biserrulae WSM1271 [5] to obtain an effective symbiosis. Six years after the introduction of this legume into Western Australia, isolates were recovered from root nodules on B. pelecinus growing in Northam, Western Australia that were compromised in their nitrogen fixation capacity. The gradual replacement of the inoculant by established strains of RNB that are competitive for nodulation but suboptimal in N2 fixation threatens the successful establishment of this new legume in agriculture [6].

One of these poorly effective but competitive strains that was isolated from a nodule of B. pelecinus grown in the wheat belt of Western Australia can only fix <40% N2 compared to the original inoculant M. ciceri bv. biserrulae WSM1271. This strain has been designated as WSM2073T (= LMG 24608 = HAMBI 3006) and is now the recognized type strain for the species Mesorhizobium australicum [7]. The species name’cum. N.L. neut. adj. australicum is in reference to where this isolate originated from [7] and represents a dominant chromosomal type strain surviving as a soil saprophyte in the Western Australian wheat belt [6,8] that appears to have the capacity to acquire symbiotic genes through horizontal transfer [9].

In this report we present a summary classification and a set of general features for M. australicum strain WSM2073T together with the description of the complete genome sequence and its annotation. Here we reveal that a 455.7 Kb genomic island from the inoculant Mesorhizobium ciceri bv. biserrulae WSM1271 has been horizontally transferred into M. australicum strain WSM2073T and integrated into the phenylalanine-tRNA gene.

Classification and features

M. australicum strain WSM2073T is a motile, gram negative, non-spore-forming rod (Figure 1 Left and Center) in the order Rhizobiales of the class Alphaproteobacteria. They are moderately fast growing, forming 2–4 mm diameter colonies within 3–4 days and have a mean generation time of 4–6 h when grown in half Lupin Agar (½LA) broth [10] at 28 °C. Colonies on ½LA are white-opaque, slightly domed, moderately mucoid with smooth margins (Figure 1 Right). Strains of this organism are able to tolerate a pH range between 5.5 and 9.0. More information on the carbon source utilization and fatty acid profiles were described before [7]. Minimum Information about a Genome Sequence (MIGS) is given in Table 1.

Figure 1.
figure 1

Images of M. australicum strain WSM2073T using scanning (Left) and transmission (Center) electron microscopy and the appearance of colony morphology on a solid medium (Right).

Table 1. Classification and general features of M. australicum strain WSM2073T according to the MIGS recommendations [11].

Figure 2 shows the phylogenetic neighborhood of M. australicum strain WSM2073T in a 16S rRNA sequence based tree. This strain clustered in a tight group which included M. shangrilense, M. loti and M. ciceri and had >99% sequence similarity with all four type strains. However, based on a polyphasic taxonomic study we have identified this strain to belong to a new species [7].

Figure 2.
figure 2

Phylogenetic tree showing the relationships of M. australicum strain WSM2073T with some of the root nodule bacteria in the order Rhizobiales 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]. The tree was built using the Maximum-Likelihood method with the General Time Reversible model. Bootstrap analysis [23] 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 [24] Published genomes are indicated with an asterisk.


M. australicum strain WSM2073T has an extremely narrow legume host range for symbiosis only forming partially effective nitrogen-fixing root nodules on Biserrula pelecinus L [6]. This strain also nodulates the closely related species Astragalus membranaceus but does not nodulate 21 other legume species nodulated by Mesorhizobium spp. [6]. Strain WSM2073T has similar highly specific symbiotic nodulation capabilities to M. ciceri bv. biserrulae WSM1271, but is a poor N-fixer on B. pelecinus L.

Genome sequencing and annotation

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 US Department of Energy Joint Genome Institute (JGI) for projects of relevance to agency missions. The genome project is deposited in the Genomes OnLine Database [24] and the complete genome sequence in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI). A summary of the project information is shown in Table 2.

Table 2. Genome sequencing project information for Mesorhizobium australicum strain WSM2073T

Growth conditions and DNA isolation

M. australicum strain WSM2073T was grown to mid logarithmic phase in TY medium (a rich medium) [25] on a gyratory shaker at 28°C. DNA was isolated from 60 mL of cells using a CTAB (Cetyl trimethylammonium bromide) bacterial genomic DNA isolation method.

Genome sequencing and assembly

The draft genome of M. australicum strain WSM2073T was generated at the DOE Joint genome Institute (JGI) using a combination of Illumina [26] and 454 technologies [27]. For this, genome we constructed and sequenced an Illumina GAii shotgun library which generated 10,509,788 reads totaling 378.4 Mb, a 454 Titanium standard library which generated 235,807 reads and paired end 454 libraries with an average insert sizes of 26.3 Kb/10.9 Kb which generated 221,877/139,171 reads totaling 257.0 Mb of 454 data. All general aspects of library construction and sequencing performed in this project can be found at the DOE Joint Genome Institute website. The initial draft assembly contained 14 contigs in 1 scaffold. The 454 Titanium standard data and the 454 paired end data were assembled together with Newbler, version 2.3. The Newbler consensus sequences were computationally shredded into 2 Kb overlapping fake reads (shreds). Illumina sequencing data was assembled with VELVET, version 0.7.63 [28], and the consensus sequences were computationally shredded into 1.5 Kb overlapping fake reads (shreds). We integrated the 454 Newbler consensus shreds, the Illumina VELVET consensus shreds and the read pairs in the 454 paired end library using parallel phrap, version SPS - 4.24 (High Performance Software, LLC). The software Consed [2931] was used in the following finishing process. Illumina data was used to correct potential base errors and increase consensus quality using the software Polisher developed at JGI (Alla Lapidus, unpublished). Possible mis-assemblies were corrected using gapResolution (Cliff Han, unpublished), Dupfinisher [32], or sequencing cloned bridging PCR fragments with subcloning. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR (J-F Cheng, unpublished) primer walks. A total of 59 additional reactions were necessary to close gaps and to raise the quality of the finished sequence. The total size of the genome is 6,200,534 bp and the final assembly is based on 257 Mb of 454 draft data which provides an average 28× coverage of the genome and 13,385 Mb of Illumina draft data which provides an average 2159× coverage of the genome.

Genome annotation

Genes were identified using Prodigal [33] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePrimp pipeline [34]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant 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 [35], RNAMMer [36], Rfam [37], TMHMM [38], and SignalP [39]. Additional gene prediction analyses and functional annotation were performed within the Integrated Microbial Genomes (IMG-ER) platform [40].

Genome properties

The genome is 6,200,534 bp long with a 62.84% GC content (Table 3, Figure 3) and comprised of a single chromosome. From all the genes present in the genome, 6,013 were protein coding genes and 67 RNA only encoding genes. Two hundred and twenty one pseudogenes were also identified. The majority of protein coding genes (4,875; 80.18%) were assigned a putative function whilst the remaining protein coding genes were annotated as encoding hypothetical proteins. The distribution of genes into COGs functional categories is presented in Table 4.

Figure 3.
figure 3

Graphical circular map of the chromosome of Mesorhizobium australicum WSM2073T. From outside to the center: 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.

Table 3. Genome Statistics for Mesorhizobium australicum strain WSM2073T.
Table 4. Number of protein coding genes of Mesorhizobium australicum WSM2073T associated with the general COG functional categories.


  1. O’Hara GW. The role of nitrogen fixation in crop production. J Crop Prod 1998; 15–138.

  2. Gregorich EG, Rochette P, VandenBygaart AJ, Angers DA. Greenhouse gas contributions of agricultural soils and potential mitigation practices in Eastern Canada. Soil Tillage Res 2005; 83:53–72.

    Article  Google Scholar 

  3. Howieson JG, O’Hara GW, Carr SJ. Changing roles for legumes in Mediterranean agriculture: developments from an Australian perspective. Field Crops Res 2000; 65:107–122.

    Article  Google Scholar 

  4. Loi A, Howieson JG, Nutt BJ, Carr SJ. A second generation of annual pasture legumes and their potential for inclusion in Mediterranean-type farming systems. Aust J Exp Agric 2005; 45:289–299.

    Article  Google Scholar 

  5. Howieson JG, Loi A, Carr SJ. Biserrula pelecinus L. — a legume pasture species with potential for acid, duplex soils which is nodulated by unique root-nodule bacteria. Aust J Agric Res 1995; 46:997–1009.

    Article  Google Scholar 

  6. Nandasena KG, O’Hara GW, Tiwari RP, Sezmis E, Howieson JG. In situ lateral transfer of symbiosis islands results in rapid evolution of diverse competitive strains of mesorhizobia suboptimal in symbiotic nitrogen fixation on the pasture legume Biserrula pelecinus L. Environ Microbiol 2007; 9:2496–2511. PubMed

    Article  CAS  PubMed  Google Scholar 

  7. Nandasena KG, O’Hara GW, Tiwari RP, Willems A, Howieson JG. Mesorhizobium australicum sp. nov. and Mesorhizobium opportunistum sp. nov., isolated from Biserrula pelecinus L. in Australia. Int J Syst Evol Microbiol 2009; 59:2140–2147. PubMed

    Article  CAS  PubMed  Google Scholar 

  8. Nandasena KG, O’Hara GW, Tiwari RP, Willlems A, Howieson JG. Mesorhizobium ciceri biovar biserrulae, a novel biovar nodulating the pasture legume Biserrula pelecinus L. Int J Syst Evol Microbiol 2007; 57:1041–1045. PubMed

    Article  CAS  PubMed  Google Scholar 

  9. Nandasena KG, O’Hara GW, Tiwari RP, Howieson JG. Rapid in situ evolution of nodulating strains for Biserrula pelecinus L. through lateral transfer of a symbiosis island from the original mesorhizobial inoculant. Appl Environ Microbiol 2006; 72:7365–7367. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  10. Howieson JG, Ewing MA, D’antuono MF. Selection for acid tolerance in Rhizobium meliloti. Plant Soil 1988; 105:179–188.

    Article  CAS  Google Scholar 

  11. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen M, Angiuoli SV, 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; 26:541–547. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  12. 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; 87:4576–4579. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  13. Garrity GM, Bell JA, Lilburn T. Phylum XIV. Proteobacteria phyl. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT (eds), Bergey’s Manual of Systematic Bacteriology, Second Edition, Volume 2, Part B, Springer, New York, 2005, p. 1.

    Chapter  Google Scholar 

  14. Garrity GM, Bell JA, Lilburn T. Class I. Alphaproteobacteria class. In: Garrity GM, Brenner DJ, Kreig NR, Staley JT, editors. Bergy’s Manual of Systematic Bacteriology. Second ed: New York: Springer-Verlag; 2005.

    Google Scholar 

  15. 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

  16. Kuykendall LD. Order VI. Rhizobiales ord. nov. In: Garrity GM, Brenner DJ, Kreig NR, Staley JT, editors. Bergy’s Manual of Systematic Bacteriology. Second ed: New York: Springer-Verlag; 2005. p 324.

    Google Scholar 

  17. Mergaert J, Swings J. Family IV. Phyllobacteriaceae In: Garrity GM, Brenner DJ, Kreig NR, Staley JT, editors. Bergy’s Manual of Systematic Bacteriology. Second ed: New York: Springer-Verlag; 2005. p 393.

    Google Scholar 

  18. Jarvis BDW, Van Berkum P, Chen WX, Nour SM, Fernandez MP, Cleyet-Marel JC, Gillis M. Transfer of Rhizobium loti, Rhizobium huakuii, Rhizobium cicer, Rhizobium mediterraneum, Rhizobium tianshanense to Mesorhizobium gen.nov. Int J Syst Evol Microbiol 1997; 47:895–898.

    Google Scholar 

  19. Chen WX, Wang ET, Kuykendall LD. The Proteobacteria. New York: Springer-Verlag; 2005.

    Google Scholar 

  20. PRO-131W1 P. Saccharomyces cerevisiae Unibroue Blanche de Chambly. PREMIUM ALE (Isolated from sample of Unibroue Blanche de Chambly on tap in Downtown Disney.).

  21. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000; 25:25–29. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  22. Kumar S, Tamura K, Nei M. MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment. Brief Bioinform 2004; 5:150–163. PubMed

    Article  CAS  PubMed  Google Scholar 

  23. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39:783–791.

    Article  Google Scholar 

  24. 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–D479. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  25. Reeve WG, Tiwari RP, Worsley PS, Dilworth MJ, Glenn AR, Howieson JG. Constructs for insertional mutagenesis, transcriptional signal localization and gene regulation studies in root nodule and other bacteria. Microbiology 1999; 145:1307–1316. PubMed

    Article  CAS  PubMed  Google Scholar 

  26. Bennett S. Solexa Ltd. Pharmacogenomics 2004; 5:433–438. PubMed

    Article  PubMed  Google Scholar 

  27. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, et al. Genome sequencing in microfabricated high-density picolitre reactors. Nature 2005; 437:376–380. PubMed

    PubMed Central  CAS  PubMed  Google Scholar 

  28. Zerbino DR. Using the Velvet de novo assembler for short-read sequencing technologies. Current Protocols in Bioinformatics 2010; Chapter 11:Unit 11 5.

  29. Ewing B, Green P. Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res 1998; 8:186–194. PubMed

    Article  CAS  PubMed  Google Scholar 

  30. Ewing B, Hillier L, Wendl MC, Green P. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res 1998; 8:175–185. PubMed

    Article  CAS  PubMed  Google Scholar 

  31. Gordon D, Abajian C, Green P. Consed: a graphical tool for sequence finishing. Genome Res 1998; 8:195–202. PubMed

    Article  CAS  PubMed  Google Scholar 

  32. Han C, Chain P. Finishing repeat regions automatically with Dupfinisher. In: Valafar HRAH, editor. Proceeding of the 2006 international conference on bioinformatics & computational biology: CSREA Press; 2006. p 141–146.

  33. 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

    PubMed Central  Article  PubMed  Google Scholar 

  34. 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; 7:455–457. PubMed

    Article  CAS  PubMed  Google Scholar 

  35. Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 1997; 25:955–964. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  36. 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; 35:3100–3108. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  37. Griffiths-Jones S, Bateman A, Marshall M, Khanna A, Eddy SR. Rfam: an RNA family database. Nucleic Acids Res 2003; 31:439–441. PubMed

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  38. 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; 305:567–580. PubMed

    Article  CAS  PubMed  Google Scholar 

  39. Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0. J Mol Biol 2004; 340:783–795. PubMed

    Article  PubMed  Google Scholar 

  40. 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; 25:2271–2278. PubMed

    Article  CAS  PubMed  Google Scholar 

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This work was performed under the auspices of the US Department of Energy’s 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. We gratefully acknowledge the funding received from Australian Research Council Discovery grant (DP0880896), Murdoch University Strategic Research Fund through the Crop and Plant Research Institute (CaPRI) and the Centre for Rhizobium Studies (CRS) at Murdoch University. The authors would like to thank the Australia-China Joint Research Centre for Wheat Improvement (ACCWI) and SuperSeed Technologies (SST) for financially supporting Mohamed Ninawi’s PhD project.

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Correspondence to Wayne Reeve.

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Reeve, W., Nandasena, K., Yates, R. et al. Complete genome sequence of Mesorhizobium australicum type strain (WSM2073T). Stand in Genomic Sci 9, 410–419 (2013).

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  • root-nodule bacteria
  • nitrogen fixation
  • evolution
  • lateral transfer of genes
  • integrative and conjugative elements
  • symbiosis
  • Alphaproteobacteria