Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2021 May 13;10(19):e00154-21. doi: 10.1128/MRA.00154-21

Complete Genome Sequences of Curtobacterium, Pantoea, Erwinia, and Two Pseudomonas sp. Strains, Isolated from Apple Flower Stigmas from Connecticut, USA

Zhouqi Cui a, Blaire Steven b,, Quan Zeng a,
Editor: David A Baltrusc
PMCID: PMC8142563  PMID: 33986077

The genome sequences of 5 bacterial strains isolated from apple flower stigmas are reported. The strains represent species of Curtobacterium, Pantoea, and Erwinia and two species of Pseudomonas. These data will provide information for future taxonomic studies and information for investigating the metabolic and functional characteristics of apple flower-colonizing bacteria.

ABSTRACT

The genome sequences of 5 bacterial strains isolated from apple flower stigmas are reported. The strains represent species of Curtobacterium, Pantoea, and Erwinia and two species of Pseudomonas. These data will provide information for future taxonomic studies and information for investigating the metabolic and functional characteristics of apple flower-colonizing bacteria.

ANNOUNCEMENT

The five bacterial strains, Curtobacterium sp. 24E2, Erwinia sp. 18B1, Pantoea sp. 1B4, Pseudomonas sp. 15A4, and Pseudomonas sp. 1079, were isolated from apple flower stigma samples collected on the apple cultivar ‘Early Macoun’ (Malus x domestica NY75414-1) planted at Lockwood Farm in Hamden, CT (41.406°N, 72.906°W) (1). Our previous data showed that Enterobacteriaceae and Pseudomonadaceae are the two predominant families of bacteria on apple stigma (2, 3). Within the Enterobacteriaceae, the genera Pantoea and Erwinia were predominant, and within the Pseudomonadaceae, Pseudomonas was the principal genus (3). The genus Curtobacterium, belonging to the phylum Actinobacteria, was much less abundant in the microbiome and was investigated as a representative of the apple stigma “rare biosphere” (3). These four strains were identified in our previous study by 16S rRNA gene comparisons (1). Acquisition of the full-genome sequence information of these strains will advance future investigations concerning the metabolic and functional requirements of the flower microbiome.

The stigma portion of an apple flower was dissected and immersed into 200 μl of 0.5× phosphate-buffered saline (PBS) in a sterile 1.5-ml microcentrifuge tube. The stigma sample was then sonicated for 5 min, followed by vortexing for 30 s. Then, 5 ml of PBS was spread onto a lysogeny broth (LB) agar plate to collect stigma resident bacteria (1). A single colony of each strain was inoculated into LB broth and incubated at 28°C overnight with shaking. Genomic DNA was extracted using the E.Z.N.A. (Omega, GA, USA) bacterial DNA kit according to the manufacturer’s instructions. The quality and quantity of isolated DNA were determined using the high-sensitivity D5000 ScreenTape system (Agilent Technologies, Santa Clara, CA) and the QuBit double-stranded DNA (dsDNA) broad-range assay (Thermo Fisher Scientific, Waltham, MA), respectively. For Nanopore sequencing, the ligation sequencing kit (SQK-LSK109; Oxford Nanopore Technologies) was used with ∼500 ng of input DNA for library construction. The library for Pseudomonas sp. 1079 was sequenced with a Flongle adaptor, and the other four strains were loaded together into an R9.4 flow cell with specific barcodes on the Oxford Nanopore MinION device. All base calling was performed with the “high-accuracy” model as integrated in MInKNOW v3.1.13 software.

Quality control of raw reads was performed on the raw sequencing data using LongQC (4). Genome assembly was performed using Flye, which is a long-read de novo genome assembly pipeline (5). Polishing was performed using the Burrows-Wheeler Aligner (BWA) v0.7.17 (6) and Racon v1.4.19 (7) with parameters specific for Nanopore read alignment and mapping. The polished output was further processed with Medaka v1.0.3 (https://github.com/nanoporetech/medaka). Quality assessment was determined with QUAST (8). The annotation was performed with the NCBI Prokaryotic Genome Annotation Pipeline v4.12 (PGAP) (9), with completeness and contamination checked using CheckM (10). The genome information of these five strains is listed in Table 1. The closest phylogenetic neighbors of these strains were identified by whole-genome average nucleotide identity (ANI) using FastANI v1.32 and 16S rRNA gene homology using blastn with the NCBI database. Default parameters were used for all software unless otherwise specified.

TABLE 1.

Characteristics and accession numbers for genomes of the apple stigma bacterial isolates

Characteristic Data for:
Curtobacterium sp. 24E2 Erwinia sp. 18B1 Pantoea sp. 1B4 Pseudomonas sp. 15A4 Pseudomonas sp. 1079
Mean raw sequence length (bp) 7,304 6,911 6,430 7,384 6,627
Total sequences (Gb) 2.17 2.05 2.10 1.37 0.57
Mean coverage (×) 555 384 391 229 91
Flow cell barcode sequences TCCATTCCCTCCGATAGATGAAAC ACGTAACTTGGTTTGTTCCCTGAA AAGGATTCATTCCCACGGTAACAC TAGGGAAACACGATAGAATCCGAA a
Total sequence length (bp) 3,805,409 5,153,201 5,091,746 5,702,273 5,898,439
No. of scaffolds 1 5 6 1 2
Raw read N50 (bp) 15,616 13,014 12,702 15,569 14,902
Assembly N50 (bp) 3,805,409 4,898,912 4,115,195 5,702,273 5,894,865
GC content (%) 70.7 56.4 55.1 60.5 60.2
No. of genes 3,743 5,039 4,823 5,039 5,343
No. of protein-coding genes 3,043 3,661 3,711 4,318 4,389
No. of 16S rRNAs 4 7 7 5 6
No. of tRNAs 47 81 77 64 68
Completeness (%)b 87.33 87.18 96.23 98.57 97.27
Contamination (%)b 5.08 6.90 0.45 0.03 0.27
Closest relative (ANI [%], 16S rRNA gene identity [%]) Curtobacterium citreum (85.5, 90.75) Erwinia aphidicola (98.7, 95.00) Pantoea agglomerans (98.3, 99.87) Pseudomonas graminis (91.7, 99.93) Pseudomonas carnis (98.5, NAc)
Genome GenBank accession no. CP068987 JAEUXA000000000 JAEUWZ000000000 CP068986 JAEUXB000000000
Raw read SRA no. SRR13499755SRR13499826 SRR13499599SRR13499670 SRR13499518SRR13499596 SRR13500215SRR13500259 SRR13499671SRR13499754
a

This isolate was sequenced on a Flongle flow cell, while the other strains were barcoded and sequenced on an R9.4 flow cell.

b

Based on marker gene analysis in the CheckM software package.

c

NA, no available 16S rRNA gene sequence in the NCBI database.

Data availability.

The data of the raw reads and complete genome sequences of these five strains have been deposited in the SRA and GenBank (Table 1), respectively, under the BioProject accession number PRJNA693803.

ACKNOWLEDGMENTS

This work was supported by USDA-NIFA-Organic Transitions grant 2017-51106-27001, a Northeastern IPM Center partnership grant, and a USDA specialty crop block grant (SCBG) through the Department of Agriculture, State of Connecticut.

REFERENCES

  • 1.Cui Z, Huntley RB, Schultes NP, Steven B, Zeng Q. 2021. Inoculation of stigma-colonizing microbes to apple stigmas alters microbiome structure and reduces the occurrence of fire blight disease. Phytobiomes J doi: 10.1094/PBIOMES-04-20-0035-R. [DOI] [Google Scholar]
  • 2.Steven B, Huntley RB, Zeng Q. 2018. The influence of flower anatomy and apple cultivar on the apple flower phytobiome. Phytobiomes J 2:171–179. doi: 10.1094/PBIOMES-03-18-0015-R. [DOI] [Google Scholar]
  • 3.Cui Z, Huntley RB, Zeng Q, Steven B. 2021. Temporal and spatial dynamics in the apple flower microbiome in the presence of the phytopathogen Erwinia amylovora. ISME J 15:318–329. doi: 10.1038/s41396-020-00784-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fukasawa Y, Ermini L, Wang H, Carty K, Cheung M-S. 2020. LongQC: a quality control tool for third generation sequencing long read data. G3 (Bethesda) 10:1193–1196. doi: 10.1534/g3.119.400864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kolmogorov M, Yuan J, Lin Y, Pevzner PA. 2019. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 37:540–546. doi: 10.1038/s41587-019-0072-8. [DOI] [PubMed] [Google Scholar]
  • 6.Li H. 2013. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv 13033997. https://arxiv.org/abs/1303.3997.
  • 7.Vaser R, Sović I, Nagarajan N, Šikić M. 2017. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res 27:737–746. doi: 10.1101/gr.214270.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi: 10.1093/bioinformatics/btt086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI Prokaryotic Genome Annotation Pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data of the raw reads and complete genome sequences of these five strains have been deposited in the SRA and GenBank (Table 1), respectively, under the BioProject accession number PRJNA693803.


Articles from Microbiology Resource Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES