Genome Sequence of Pantoea ananatis SGAir0210, Isolated from Outdoor Air in Singapore

Luhung, Irvan; Junqueira, Ana Carolina M.; Uchida, Akira; Purbojati, Rikky W.; Houghton, James N. I.; Chénard, Caroline; Wong, Anthony; Clare, Megan E.; Kushwaha, Kavita K.; Panicker, Deepa; Putra, Alexander; Gaultier, Nicolas E.; Premkrishnan, Balakrishnan N. V.; Heinle, Cassie E.; Vettath, Vineeth Kodengil; Drautz–Moses, Daniela I.; Schuster, Stephan C.

doi:10.1128/genomea.00643-18

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The first subcluster contains the eight wheat-pathogenic P. ananatis strains described in this study, as well as other plant pathogens (PA13, 97-1) [ 17 , 18 ] and endophytic strains of rice, sugarcane and strawberry plants (YJ76, NN08200, BRT98, and 15320) [ 19 , 20 ], as well as environmental strains obtained from various ecological niches like soil (AJ13355) [ 21 ] and human wound (LMG5342) [ 22 ]. The second subcluster is formed by only one P. ananatis strain (SGAir0210) obtained from an outdoor air [ 23 ].…”

Section: Resultsmentioning

confidence: 99%

Pantoea ananatis, A New Bacterial Pathogen Affecting Wheat Plants (Triticum L.) in Poland

Krawczyk

Wielkopolan

Obrępalska‐Stęplowska

2020

Pathogens

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Wheat (Triticum aestivum) is one of the most economically important crops in the world. During the routine monitoring of wheat pest, the cereal leaf beetle (CLB, Oulema melanopus, Coleoptera, Chrysomelidae), in the Greater Poland region, it was observed that some leaves wounded by CLB also displayed brownish lesions with clear margins and yellow halo, disease symptoms resembling a bacterial infection. The aim of this study was therefore to investigate those symptoms to establish a causal agent of the disease. The identification based on the results of the Biolog’s Gen III system, 16S rRNA, and gyrB genes sequencing, revealed the presence of eight strains of Pantoea ananatis bacteria. Four strains were derived from wheat leaves (Ta024, Ta027, Ta030, Ta046), and four from the CLB’s oral secretion (OUC1, OUD2, OUF2, and OUG1). They shared the nucleotide identity ranging from 99 to 100% to P. ananatis strains deposited in the GenBank database. Additionally, the multi-locus sequence analysis (MLSA) of concatenated sequences of partial atpD, fusA, gyrB, rplB, and rpoB genes was performed. All P. ananatis strains isolated in Poland, grouped into one cluster supported with high bootstrap value. Pathogenicity tests performed on four varieties of wheat plants have identified P. ananatis strains as a causal agent of wheat disease. To our knowledge, this is the first report of P. ananatis affecting wheat plants.

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Section: Resultsmentioning

confidence: 99%

Pantoea ananatis, A New Bacterial Pathogen Affecting Wheat Plants (Triticum L.) in Poland

Krawczyk

Wielkopolan

Obrępalska‐Stęplowska

2020

Pathogens

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“…All bacteria samples were isolated from environmental air samples collected in an outdoor sampling site in Singapore and stored in 70% glycerol solution at −80 °C for future use, as previously described. 56 Species classification of the pure cultures of single species was performed by identifying 16s rRNA gene sequences (338F and 805R primers) via BLAST alignment to the SILVA database.…”

Section: Methodsmentioning

confidence: 99%

Surface-Enhanced Raman Scattering-Based Surface Chemotaxonomy: Combining Bacteria Extracellular Matrices and Machine Learning for Rapid and Universal Species Identification

Leong,

Tan,

Han

et al. 2023

ACS Nano

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Rapid, universal, and accurate identification of bacteria in their natural states is necessary for on-site environmental monitoring and fundamental microbial research. Surface-enhanced Raman scattering (SERS) spectroscopy emerges as an attractive tool due to its molecule-specific spectral fingerprinting and multiplexing capabilities, as well as portability and speed of readout. Here, we develop a SERSbased surface chemotaxonomy that uses bacterial extracellular matrices (ECMs) as proxy biosignatures to hierarchically classify bacteria based on their shared surface biochemical characteristics to eventually identify six distinct bacterial species at >98% classification accuracy. Corroborating with in silico simulations, we establish a three-way inter-relation between the bacteria identity, their ECM surface characteristics, and their SERS spectral fingerprints. The SERS spectra effectively capture multitiered surface biochemical insights including ensemble surface characteristics, e.g., charge and biochemical profiles, and molecular-level information, e.g., types and numbers of functional groups. Our surface chemotaxonomy thus offers an orthogonal taxonomic definition to traditional classification methods and is achieved without gene amplification, biochemical testing, or specific biomarker recognition, which holds great promise for point-of-need applications and microbial research.

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Genome Sequence of Pantoea ananatis SGAir0210, Isolated from Outdoor Air in Singapore

Abstract: Pantoea ananatis SGAir0210 was isolated from outdoor air collected in Singapore. The genome was assembled from long reads generated by single-molecule real-time sequencing complemented with short reads.

Cited by 2 publications

References 19 publications

Pantoea ananatis, A New Bacterial Pathogen Affecting Wheat Plants (Triticum L.) in Poland

Pantoea ananatis, A New Bacterial Pathogen Affecting Wheat Plants (Triticum L.) in Poland

Surface-Enhanced Raman Scattering-Based Surface Chemotaxonomy: Combining Bacteria Extracellular Matrices and Machine Learning for Rapid and Universal Species Identification

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