Literature DB >> 30533892

Draft Genome Sequence of Pseudomonas citronellolis LA18T, a Bacterium That Uses Levulinic Acid.

Tomohiro Inaba1, Yuya Sato1, Hideaki Koike2, Tomoyuki Hori1, Manabu Kanno2, Nobutada Kimura2, Kohtaro Kirimura3, Hiroshi Habe1.   

Abstract

Pseudomonas citronellolis LA18T catabolizes levulinic acid (LA) from cellulosic biomass hydrolysate via acetyl-coenzyme A (acetyl-CoA) and propionyl-CoA. This study reports the 7.22-Mbp draft genome sequence of P. citronellolis LA18T. The draft genome sequence will aid the study of the LA catabolic pathway, which will allow for more applications of LA-utilizing bacteria.

Entities:  

Year:  2018        PMID: 30533892      PMCID: PMC6256459          DOI: 10.1128/MRA.00906-18

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Levulinic acid (LA) is a C5 γ-keto acid that can be obtained from biomass resources and is a promising building block for biobased chemical products (1, 2). The recent discovery of a unique operon responsible for LA catabolism in Pseudomonas putida KT2440 has led to an interest in more efficient utilization of LA (3). Previously, we isolated several LA-utilizing bacteria, including Pseudomonas sp. strain LA18T, and identified several metabolites during LA catabolism (4, 5). Strain LA18T can utilize not only reagent-grade LA but also cedar-derived LA via acetic acid and propionic acid as intermediates (4, 6, 7); however, the molecular basis of LA catabolism in LA18T remains unclear. Strain LA18T was isolated from a soil sample, as previously reported (4). The single colony of LA18T was picked up and cultured for preparation of a whole-genome sample. Total DNA was extracted from cultured suspension using DNeasy blood and tissue kits (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. The draft genome sequence of LA18T was generated with the MiSeq next-generation sequencing platform (Illumina, San Diego, CA). Both paired-end and mate pair DNA libraries (insert size, ∼500 bp) were prepared using a NEBNext Ultra DNA library prep kit for Illumina (New England BioLabs, Ipswich, MA) and a Nextera mate pair sample prep kit (Illumina), respectively, and sequenced on a MiSeq platform using the MiSeq reagent kit version 2 (Illumina). Sequence data totaling 3.13 million paired-end and 0.12 million mate pair reads, each approximately 250 and 2,000 bp in length, respectively, were generated. Genomic sequence assembly using ALLPATHS-LG version 46449 (8) with default settings generated 29 scaffolds composed of 179 contigs and a 7.22-Mb draft genome sequence at 100-fold coverage from both the paired-end and mate pair libraries. The length of the longest scaffold was 848,153 bp, and the N50 length was 3,751,832 bp, with six scaffolds. A total of 6,360 protein-coding genes were predicted using Glimmer 3.02 (9), with default settings, and annotated using NCBI blast 2.2.29 (blastp) with RefSeq version 65 (10, 11). The cutoff values used for gene annotation were an E value of ≤1e-10 and ≥25% amino acid sequence identity. A total of 60 tRNA- and 9 rRNA-encoding genes were also identified by tRNAscan-SE 1.3.1, with the general tRNA model option and RNAmmer 1.2, with default settings, respectively (12, 13). The 16S rRNA gene sequence of LA18T shared >99.3% identity with that of Pseudomonas citronellolis P3B5. (14). To date, no possible LA catabolism gene operon similar to that in P. putida KT2440 has been found in the LA18T genome. Hence, the transcriptome analysis based on the draft genome sequence may provide some novel information on LA catabolism genes in Pseudomonas species.

Data availability.

The P. citronellolis LA18T genome sequence has been deposited as 179 contigs and 29 scaffolds (accession numbers BGPP01000001 to BGPP01000029) in DDBJ/EMBL/GenBank. The version described in this paper is the first version.
  12 in total

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Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Identifying bacterial genes and endosymbiont DNA with Glimmer.

Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

3.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

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Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

4.  Electrodialytic separation of levulinic acid catalytically synthesized from woody biomass for use in microbial conversion.

Authors:  Hiroshi Habe; Susumu Kondo; Yuya Sato; Tomoyuki Hori; Manabu Kanno; Nobutada Kimura; Hideaki Koike; Kohtaro Kirimura
Journal:  Biotechnol Prog       Date:  2017-01-10

5.  Bacterial production of short-chain organic acids and trehalose from levulinic acid: a potential cellulose-derived building block as a feedstock for microbial production.

Authors:  Hiroshi Habe; Shun Sato; Tomotake Morita; Tokuma Fukuoka; Kohtaro Kirimura; Dai Kitamoto
Journal:  Bioresour Technol       Date:  2014-11-18       Impact factor: 9.642

6.  ALLPATHS: de novo assembly of whole-genome shotgun microreads.

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Journal:  Genome Res       Date:  2008-03-13       Impact factor: 9.043

Review 7.  Levulinic Acid Biorefineries: New Challenges for Efficient Utilization of Biomass.

Authors:  Filoklis D Pileidis; Maria-Magdalena Titirici
Journal:  ChemSusChem       Date:  2016-02-05       Impact factor: 8.928

8.  RefSeq microbial genomes database: new representation and annotation strategy.

Authors:  Tatiana Tatusova; Stacy Ciufo; Boris Fedorov; Kathleen O'Neill; Igor Tolstoy
Journal:  Nucleic Acids Res       Date:  2013-12-06       Impact factor: 16.971

9.  Complete genome sequence of Pseudomonas citronellolis P3B5, a candidate for microbial phyllo-remediation of hydrocarbon-contaminated sites.

Authors:  Mitja N P Remus-Emsermann; Michael Schmid; Maria-Theresia Gekenidis; Cosima Pelludat; Jürg E Frey; Christian H Ahrens; David Drissner
Journal:  Stand Genomic Sci       Date:  2016-09-26

10.  A metabolic pathway for catabolizing levulinic acid in bacteria.

Authors:  Jacqueline M Rand; Tippapha Pisithkul; Ryan L Clark; Joshua M Thiede; Christopher R Mehrer; Daniel E Agnew; Candace E Campbell; Andrew L Markley; Morgan N Price; Jayashree Ray; Kelly M Wetmore; Yumi Suh; Adam P Arkin; Adam M Deutschbauer; Daniel Amador-Noguez; Brian F Pfleger
Journal:  Nat Microbiol       Date:  2017-09-25       Impact factor: 17.745

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Authors:  Hubert Szczerba; Elwira Komoń-Janczara; Mariusz Krawczyk; Karolina Dudziak; Anna Nowak; Adam Kuzdraliński; Adam Waśko; Zdzisław Targoński
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