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. 2016 Jun 16;4(3):e00511-16. doi: 10.1128/genomeA.00511-16

High-Quality Draft Genome Sequences of Pantoea agglomerans Isolates Exhibiting Antagonistic Interactions with Wheat Seed-Associated Fungi

Jennifer Town a,b, Tim J Dumonceaux a,b,, Matt Links a,c
PMCID: PMC4911469  PMID: 27313290

Abstract

Pantoea agglomerans isolates 3 and 4 were retrieved from the bacterial community associated with wheat seeds. These isolates differ in their pattern of growth antagonism toward Alternaria species. A comparison of the genome sequences of these two isolates revealed a high sequence identity with previously sequenced strains of P. agglomerans.

GENOME ANNOUNCEMENT

Previous work examining the epiphytic microbiome of Triticum spp. and Brassica spp. identified strains of Pantoea agglomerans with differential growth antagonism phenotypes when cultured with fungi, such as Alternaria sp. and Leptosphaeria maculans (1). In particular, P. agglomerans isolate 4 inhibited the growth of these fungi, while isolate 3 did not exhibit this phenotype. To examine the mechanisms by which isolate 4 may inhibit the growth of fungal pathogens, we determined the genome sequences of these two isolates.

P. agglomerans isolates were grown at 28°C in a rotary shaker for 24 h in BBL Trypticase soy broth (Becton, Dickinson, Cockeysville, MD). Genomic DNA was purified from 1 ml of overnight culture using the Wizard genomic DNA (gDNA) extraction kit (Promega, Madison, WI). Sequencing was performed using Titanium Plus chemistry on a GS Junior platform (Roche Diagnostics, Laval, Quebec, Canada). Shotgun sequencing generated average read lengths of 458 bp (isolate 3) and 454 bp (isolate 4). In addition, an 8-kb insert paired-end sequencing run was performed on each isolate based on the paired-end rapid library preparation protocol for Titanium chemistry (Roche, March 2012), with modifications as described previously (2). The estimated pair distances were 6,111 ± 1,528 bp (isolate 3) and 6,346 ± 1,587 bp (isolate 4). Assembly of shotgun and paired-end sequencing runs for each genome using Newbler version 3.0 (454 Life Sciences) produced improved high-quality draft (3) sequences featuring 22× (isolate 3) and 26× (isolate 4) genome coverage. Each genome was assembled into 4 scaffolds and 6 scaffold contigs, with N50 scaffold sizes of 4,016,073 bp (isolate 3) and 3,947,245 bp (isolate 4). Sequence data were annotated using the Prokaryotic Genome Annotation Pipeline version 3.1 (NCBI) and using the Integrated Microbial Genomes portal (https://img.jgi.doe.gov/cgi-bin/mer/main.cgi).

The genomes of P. agglomerans isolates 3 and 4 contained 4,813,581 and 4,827,890 bp, respectively. Each genome contained 4,443 open reading frames (ORFs) but differed in the number of protein-coding genes (4,284 for isolate 3 and 4,305 for isolate 4). The genomes contained seven (isolate 3) or six (isolate 4) copies of the 16S rRNA-coding gene.

The sequences of the bacterial barcode cpn60 (4) were identical between the two strains and 99 to 100% identical to those of P. agglomerans. While SpecI (5) could not assign either isolate to a species cluster, JSpecies (6) revealed that the two strains were very similar to one another and to P. agglomerans strain IG1 (7). Similarly, the strains shared very high (>98%) genomic average nucleotide identities (ANI) with many strains of P. agglomerans. Alignment of the scaffolds from the two isolates using NUCmer (8) indicated that the genomes were very similar to one another; however, a 109-kb scaffold was identified in isolate 4 that had no match in isolate 3. Annotation of this scaffold unique to isolate 4 identified several genes associated with conjugation, as well as genes encoding a CcdAB toxin-antitoxin system.

Nucleotide sequence accession numbers.

These whole-genome shotgun projects have been deposited at DDBJ/ENA/GenBank under the accession numbers LVHW00000000 (isolate 3) and JPOT00000000 (isolate 4). The versions described in this paper are versions LVHW01000000 (isolate 3) and JPOT02000000 (isolate 4).

ACKNOWLEDGMENT

This work was supported by Agriculture and Agri-Food Canada A-base grants to support biopesticide research.

Funding Statement

This work was funded by the A-base project "Detection and Quantification of Seed-Associated Pathogens and Commensal Microorganisms in Canadian Crop Plants and Novel Bioinformatic Approaches for Exploiting Metagenomic Data."

Footnotes

Citation Town J, Links M, Dumonceaux TJ. 2016. High-quality draft genome sequences of Pantoea agglomerans isolates exhibiting antagonistic interactions with wheat seed-associated fungi. Genome Announc 4(3):e00511-16. doi:10.1128/genomeA.00511-16.

REFERENCES

  • 1.Links MG, Demeke T, Gräfenhan T, Hill JE, Hemmingsen SM, Dumonceaux TJ. 2014. Simultaneous profiling of seed-associated bacteria and fungi reveals antagonistic interactions between microorganisms within a shared epiphytic microbiome on Triticum and Brassica seeds. New Phytol 202:542–553. doi: 10.1111/nph.12693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hill J, Chaban B, Town J, Links M, Dumonceaux T. 2014. Modified paired end rapid library preparation protocol for 454 GS Junior 8-kb library preparation using Covaris g-tubes and BluePippin electrophoresis. Protoc Exch doi: 10.1038/protex.2014.028. [DOI] [Google Scholar]
  • 3.Chain PSG, Grafham DV, Fulton RS, Fitzgerald MG, Hostetler J, Muzny D, Ali J, Birren B, Bruce DC, Buhay C, Cole JR, Ding Y, Dugan S, Field D, Garrity GM, Gibbs R, Graves T, Han CS, Harrison SH, Highlander S, Hugenholtz P, Khouri HM, Kodira CD, Kolker E, Kyrpides NC, Lang D, Lapidus A, Malfatti SA, Markowitz V, Metha T, Nelson KE, Parkhill J, Pitluck S, Qin X, Read TD, Schmutz J, Sozhamannan S, Sterk P, Strausberg RL, Sutton G, Thomson NR, Tiedje JM, Weinstock G, Wollam A, Detter JC. 2009. Genome project standards in a new era of sequencing. Science 326:236–237. doi: 10.1126/science.1180614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Links MG, Dumonceaux TJ, Hemmingsen SM, Hill JE. 2012. The chaperonin-60 universal target is a bar code for bacteria that enables de novo assembly of metagenomic sequence data. PLoS One 7:e49755. doi: 10.1371/journal.pone.0049755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mende DR, Sunagawa S, Zeller G, Bork P. 2013. Accurate and universal delineation of prokaryotic species. Nat Methods 10:881–884. doi: 10.1038/nmeth.2575. [DOI] [PubMed] [Google Scholar]
  • 6.Richter M, Rosselló-Móra R. 2009. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci USA 106:19126–19131. doi: 10.1073/pnas.0906412106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Matsuzawa T, Mori K, Kadowaki T, Shimada M, Tashiro K, Kuhara S, Inagawa H, Soma G-i, Takegawa K. 2012. Genome sequence of Pantoea agglomerans strain IG1. J Bacteriol 194:1258–1259. doi: 10.1128/JB.06674-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Delcher AL, Phillippy A, Carlton J, Salzberg SL. 2002. Fast algorithms for large-scale genome alignment and comparison. Nucleic Acids Res 30:2478–2483. doi: 10.1093/nar/30.11.2478. [DOI] [PMC free article] [PubMed] [Google Scholar]

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