Literature DB >> 33272987

Complete Genome Sequences of Four Natural Pseudomonas Isolates That Catabolize a Wide Range of Aromatic Compounds Relevant to Lignin Valorization.

E Anne Hatmaker1, Gerald N Presley1,2, Olivia N Cannon1,2, Joshua K Michener1,2, Adam M Guss1,2, James G Elkins3,2,4.   

Abstract

Many soil microorganisms have evolved catabolic strategies to utilize phenolic compounds arising from depolymerized lignin. We report the complete genome sequences of four Pseudomonas sp. isolates that demonstrated robust growth on a wide range of aromatic monomers and dimers that are relevant to the valorization of lignin into value-added chemicals.
Copyright © 2020 Hatmaker et al.

Entities:  

Year:  2020        PMID: 33272987      PMCID: PMC7714841          DOI: 10.1128/MRA.00975-20

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


ANNOUNCEMENT

Lignin, a major structural component of plant cell walls, is one of the most abundant natural polymers. There is a growing interest in exploiting lignin as a renewable feedstock to produce a variety of value-added products, including bioplastics (1, 2), fungible fuels (3), and commodity chemicals (4), through chemical and biological valorization (5, 6). However, due to the complex nature of this heterogeneous aromatic polymer, a diverse range of enzymatic activities is required for depolymerization, aromatic ring opening, and conversion to target products (7–9). No bacterium has yet been isolated that can catabolize all components of depolymerized lignin. Instead, efficient valorization will likely require the isolation of additional bacteria with novel aromatic catabolism pathways, the rapid identification of the associated enzymes (10), and the heterologous expression of these enzymes in a production host (11). To isolate new aromatic-catabolizing microbes, 50- to 100-ml broth enrichments were established by adding soils and river sediments as a source of inoculum at approximately 1.0% (wt/vol). These enrichments were grown in minimal M9 basal medium supplemented with 50 mg/liter cycloheximide and 0.1% (wt/vol) either ferulate (strains H1F5C and H1F10A) or dehydrodivanillic acid (strains B10D7D and B11D7D) at 30°C with shaking until turbidity was observed. Serial dilutions were plated onto M9 agar plates containing 0.1% (wt/vol) aromatic enrichment substrate as the sole carbon and energy source. Visible colonies were restreaked several times on the same medium for purification, and then a single colony was inoculated into 5 ml LB medium for DNA isolation, which was performed using a Quick-DNA fungal/bacterial microprep kit (Zymo Research, Irvine, CA). For strain identification, 16S rRNA genes were PCR amplified using primers 27F and 1492R (12), and the purified products were sequenced via the Sanger method (Eurofins Genomics, Louisville, KY). The sequences were aligned and compared to known sequences in the NCBI (nonredundant [nr]) and Greengenes databases using BLAST (13–15). Pseudomonas sediminis B10D7D and Pseudomonas sp. strain B11D7D were isolated from sediments (pH 7.0) collected from the Hiwassee River near Calhoun, TN (35.30000, −84.76397). Pseudomonas protegens H1F5C and H1F10A were isolated from acidic soil samples (pH 2.5) collected in the 100 Spring Plain area within Yellowstone National Park (YNP), WY (44.73323, −110.70976). High-molecular-weight genomic DNA for genome sequencing was prepared from cells grown in LB broth using a protocol provided by the Joint Genome Institute (JGI) (https://jgi.doe.gov/wp-content/uploads/2014/02/JGI-Bacterial-DNA-isolation-CTAB-Protocol-2012.pdf). Pacific Biosciences (PacBio) SMRTbell library preparation (>10 kb, multiplexed) and long-read sequencing using the PacBio Sequel platform (Menlo Park, CA, USA) were performed by the Department of Energy Joint Genome Institute. Within the PacBio SMRT Analysis platform v5.0.1.9585, genomes were assembled from reads of >5 kb long using the Hierarchical Genome Assembly Process (HGAP) v4 (16) using the default settings. The modified sites that were detected were grouped into methylated motifs using MotifFinder (17) with default parameters. Genomes were annotated using the NCBI Prokaryotic Genome Annotation Pipeline (18), also with default parameters. All four Pseudomonas HGAP genome assemblies represent single, circular chromosomes with no plasmids (Table 1).
TABLE 1

Relevant genome sequencing and annotation statistics for Pseudomonas isolates

SpeciesIsolation locationGenome size (bp)GC content (%)Coverage (×)No. of raw readsNo. of genes (PGAP)aRaw read N50 (bp)bSRA accession no.
Pseudomonas sediminis B10D7DCalhoun, TN4,934,01762.4194.0674,7564,61263,091SRX8889211
Pseudomonas sp. B11D7DCalhoun, TN5,387,17162.5180.0219,3704,98562,275SRX8889223
Pseudomonas protegens H1F5CYNP, WY6,818,51963.1330.0498,5826,21451,295SRX7717610
Pseudomonas protegens H1F10AYNP, WY6,817,97263.1213.0219,3706,21356,328SRX9016362

PGAP, Prokaryotic Genome Annotation Pipeline.

The N50 value was calculated based on genome size for each isolate.

Relevant genome sequencing and annotation statistics for Pseudomonas isolates PGAP, Prokaryotic Genome Annotation Pipeline. The N50 value was calculated based on genome size for each isolate. Methylated motifs were found in two of the genomes. Two methylated motifs were found in Pseudomonas sp. B11D7D—TGGANNNNNNNRTNGC, consistent with type I restriction-modification (RM) systems (19), and CATGRAG. The P. sediminis B10D7D methylome also includes one type I RM, CAANNNNNTCGC, and a second motif, CCGCGAG. Underlined bases represent adenine methylation on the forward or reverse strand. Using the single-copy gyrase B (gyrB) gene, we constructed a maximum likelihood phylogeny of the Pseudomonas isolates and RAxML and the GTR+GAMMA model with 1,000 replicates for bootstrapping (20), showing the relationship between our isolates and commonly studied species (Fig. 1). Complete genome assemblies enable systems biology studies and genetic engineering, facilitating future studies of these lignin-degrading isolates.
FIG 1

Maximum likelihood phylogeny of Pseudomonas isolates from this study and other relevant Pseudomonas strains and E. coli K-12. Numbers above nodes represent bootstrap values, which were calculated from 1,000 replicates with 10% burn-in.

Maximum likelihood phylogeny of Pseudomonas isolates from this study and other relevant Pseudomonas strains and E. coli K-12. Numbers above nodes represent bootstrap values, which were calculated from 1,000 replicates with 10% burn-in.

Data availability.

The complete genomes for strains B10D7D, B11D7D, H1F5C, and H1F10A were deposited in GenBank under accession numbers CP060009, CP060008, CP060201, and CP060289, respectively.
  16 in total

Review 1.  Type I restriction systems: sophisticated molecular machines (a legacy of Bertani and Weigle).

Authors:  N E Murray
Journal:  Microbiol Mol Biol Rev       Date:  2000-06       Impact factor: 11.056

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

Authors:  T Z DeSantis; P Hugenholtz; N Larsen; M Rojas; E L Brodie; K Keller; T Huber; D Dalevi; P Hu; G L Andersen
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

4.  Critical evaluation of two primers commonly used for amplification of bacterial 16S rRNA genes.

Authors:  Jeremy A Frank; Claudia I Reich; Shobha Sharma; Jon S Weisbaum; Brenda A Wilson; Gary J Olsen
Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

Review 5.  Biochemical transformation of lignin for deriving valued commodities from lignocellulose.

Authors:  Daniel L Gall; John Ralph; Timothy J Donohue; Daniel R Noguera
Journal:  Curr Opin Biotechnol       Date:  2017-03-24       Impact factor: 9.740

6.  Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.

Authors:  Chen-Shan Chin; David H Alexander; Patrick Marks; Aaron A Klammer; James Drake; Cheryl Heiner; Alicia Clum; Alex Copeland; John Huddleston; Evan E Eichler; Stephen W Turner; Jonas Korlach
Journal:  Nat Methods       Date:  2013-05-05       Impact factor: 28.547

7.  Lignin valorization through integrated biological funneling and chemical catalysis.

Authors:  Jeffrey G Linger; Derek R Vardon; Michael T Guarnieri; Eric M Karp; Glendon B Hunsinger; Mary Ann Franden; Christopher W Johnson; Gina Chupka; Timothy J Strathmann; Philip T Pienkos; Gregg T Beckham
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-04       Impact factor: 11.205

Review 8.  Bacterial catabolism of lignin-derived aromatics: New findings in a recent decade: Update on bacterial lignin catabolism.

Authors:  Naofumi Kamimura; Kenji Takahashi; Kosuke Mori; Takuma Araki; Masaya Fujita; Yudai Higuchi; Eiji Masai
Journal:  Environ Microbiol Rep       Date:  2017-12       Impact factor: 3.541

Review 9.  Lignin valorization: improving lignin processing in the biorefinery.

Authors:  Arthur J Ragauskas; Gregg T Beckham; Mary J Biddy; Richard Chandra; Fang Chen; Mark F Davis; Brian H Davison; Richard A Dixon; Paul Gilna; Martin Keller; Paul Langan; Amit K Naskar; Jack N Saddler; Timothy J Tschaplinski; Gerald A Tuskan; Charles E Wyman
Journal:  Science       Date:  2014-05-16       Impact factor: 47.728

Review 10.  Development of Rhodococcus opacus as a chassis for lignin valorization and bioproduction of high-value compounds.

Authors:  Winston E Anthony; Rhiannon R Carr; Drew M DeLorenzo; Tayte P Campbell; Zeyu Shang; Marcus Foston; Tae Seok Moon; Gautam Dantas
Journal:  Biotechnol Biofuels       Date:  2019-08-05       Impact factor: 6.040

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