Literature DB >> 30533647

Draft Genome Sequences of Two Bacillus sp. Strains and Four Cellulomonas sp. Strains Isolated from Heavy-Metal-Contaminated Soil.

A M Brookshier1, J W Santo Domingo2, P S Kourtev1, D R Learman1.   

Abstract

We present the draft genome sequence for Bacillus sp. strain PF3, Bacillus sp. strain K6W, Cellulomonas sp. strain B12, Cellulomonas sp. strain K38, Cellulomonas sp. strain K39, and Cellulomonas sp. strain K42B. These bacteria were isolated from contaminated soils, and their genomes contain genes related to chromate transport and reduction.

Entities:  

Year:  2018        PMID: 30533647      PMCID: PMC6256670          DOI: 10.1128/MRA.01063-18

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


ANNOUNCEMENT

Previously, bacteria were isolated from soil at a Department of Transportation site (Seymore, IN) that was contaminated with chromium (1, 2). Chromium is a heavy metal and has two naturally occurring oxidation states, Cr(III) and Cr(VI), the latter being more soluble and toxic than the other (3, 4). To gain a better understanding of bacterial tolerance (resistance and/or reduction) to Cr(VI), bacteria from chromium-contaminated soils were isolated on 50% tryptic soy agar (TSA) amended with 0.25 mM Cr(VI) (K2CrO4). Here, we present the draft genome sequences of multiple Cr(VI)-tolerant bacteria (Bacillus sp. strain PF3, Bacillus sp. strain K6W, Cellulomonas sp. strain B12, Cellulomonas sp. strain K38, Cellulomonas sp. strain K39, and Cellulomonas sp. strain K42B) and examine their genomic potential to tolerate chromate. Genomic DNA was extracted using the FastDNA spin kit (MP Biomedical, Santa Ana, CA). The DNA was sequenced using a whole-genome shotgun sequencing method utilizing the Illumina HiSeq 2000 platform at the Cincinnati Children’s Hospital Medical Center’s Genetic Variation and Gene Discovery Core facility. Adapters and primers on the raw reads were trimmed using Trimmomatic 0.33 (5), and the quality was checked using FastQC 0.11.3 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). R2 reads had low quality, so the reads were cut (length of 70 bp) and then passed through a quality filter (-Q, 33; -q, 30; -p, 50) with the FastX toolkit (http://hannonlab.cshl.edu/fastx_toolkit/). Reads were then subsampled to 4 million reads (more reads did not increase assembly quality) with seqtk (https://github.com/lh3/seqtk) and then assembled with SPAdes 3.11.1 (6, 7). The resulting assemblies were quality assessed with QUAST 3.0 (8) and CheckM (9). For the Bacillus strains, the total length of each assembly ranged from 5.1 to 5.2 Mb with a GC content of 35% and N50 values of 130,611 bp (K6W) and 53,321 bp (PF5) (Table 1). The Cellulomonas strains had total lengths ranging from 3.6 to 4.1 Mb, GC content of 74%, and N50 values ranging from 2,844 to 5,917 bp (Table 1). CheckM estimated that all 6 environmental isolates had >95% completion and <5% contamination (Table 1).
TABLE 1

Assembly and annotation quality control and assessment data

StrainTotal length (bp)GC (%)No. of contigsLargest contig (bp)N50 (bp)Comp. (%)b Contam. (%)c Annotated gene countAnnotated Pfam countWGS accession numberd
Bacillus sp. K6W5,254,82035124421,542130,6119905,3864,440QMGC00000000
Bacillus sp. PF55,148,68135184296,03053,3219905,2604,298QMGB00000000
Cellulomonas sp. B123,640,453741,78843,5522,8449743,4672,636QMGD00000000
Cellulomonas sp. K383,883,871741,81139,9433,0969523,8272,820QMGE00000000
Cellulomonas sp. K394,007,628741,27731,1015,0789814,1132,991QMGF00000000
Cellulomonas sp. K42B4,103,616741,15836,5695,9179924,1943,078QMGG00000000

Strain heterogeneity was 0 for each strain listed.

Comp., completion.

Contam., contamination.

DDBJ/ENA/GenBank whole-genome shotgun project.

Assembly and annotation quality control and assessment data Strain heterogeneity was 0 for each strain listed. Comp., completion. Contam., contamination. DDBJ/ENA/GenBank whole-genome shotgun project. The assembled genomes were annotated by the Department of Energy’s Joint Genome Institute Integrated Microbial Genomes (IMG) system (10). Annotated gene counts ranged from 3,467 to 5,386, and Pfam gene counts ranged from 2,623 to 4,440 (Table 1). Only Cellulomonas sp. strains K38 and B12 had annotated chromate reductases that are NAD(P)H-dependent flavin mononucleotide (FMN) reductases. The Cr(VI)-reducing bacterium Pseudomonas putida KT2440 uses a NAD(P)H reductase, chrR, to enzymatically reduce Cr(VI) (11). Both Bacillus sp. strains had annotated chromate transporters. Pseudomonas aeruginosa uses a chromate transporter, chrA, to provide resistance to Cr(VI) (12). All environmental isolates had annotated genes coding cobalt-zinc-cadmium efflux system proteins, which have been linked to heavy metal tolerance in other bacteria (13, 14). Therefore, the genomes provide evidence of how these environmental isolates tolerate chromate and suggest tolerance to other heavy metals.

Data availability.

The raw sequencing reads have been deposited in the Sequence Read Archive (SRA) under the accession number SRP120551. This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession numbers QMGB00000000 to QMGG00000000, as listed in Table 1. Integrated Microbial Genomes (IMG) annotations have the Genomes Online Database (GOLD) study identification (ID) number Gs0130379.
  13 in total

1.  Purification to homogeneity and characterization of a novel Pseudomonas putida chromate reductase.

Authors:  C H Park; M Keyhan; B Wielinga; S Fendorf; A Matin
Journal:  Appl Environ Microbiol       Date:  2000-05       Impact factor: 4.792

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Authors:  Sergey Nurk; Anton Bankevich; Dmitry Antipov; Alexey A Gurevich; Anton Korobeynikov; Alla Lapidus; Andrey D Prjibelski; Alexey Pyshkin; Alexander Sirotkin; Yakov Sirotkin; Ramunas Stepanauskas; Scott R Clingenpeel; Tanja Woyke; Jeffrey S McLean; Roger Lasken; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2013-10       Impact factor: 1.479

3.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

4.  Cloning, nucleotide sequence, and expression of the chromate resistance determinant of Pseudomonas aeruginosa plasmid pUM505.

Authors:  C Cervantes; H Ohtake; L Chu; T K Misra; S Silver
Journal:  J Bacteriol       Date:  1990-01       Impact factor: 3.490

5.  The cobalt, zinc, and cadmium efflux system CzcABC from Alcaligenes eutrophus functions as a cation-proton antiporter in Escherichia coli.

Authors:  D H Nies
Journal:  J Bacteriol       Date:  1995-05       Impact factor: 3.490

6.  Inhibition of nitrate reduction by chromium (VI) in anaerobic soil microcosms.

Authors:  Peter S Kourtev; Cindy H Nakatsu; Allan Konopka
Journal:  Appl Environ Microbiol       Date:  2009-08-14       Impact factor: 4.792

7.  Pseudomonas putida response to cadmium: changes in membrane and cytosolic proteomes.

Authors:  Anna Manara; Giovanni DalCorso; Cecilia Baliardini; Silvia Farinati; Daniela Cecconi; Antonella Furini
Journal:  J Proteome Res       Date:  2012-07-24       Impact factor: 4.466

8.  IMG: the Integrated Microbial Genomes database and comparative analysis system.

Authors:  Victor M Markowitz; I-Min A Chen; Krishna Palaniappan; Ken Chu; Ernest Szeto; Yuri Grechkin; Anna Ratner; Biju Jacob; Jinghua Huang; Peter Williams; Marcel Huntemann; Iain Anderson; Konstantinos Mavromatis; Natalia N Ivanova; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2012-01       Impact factor: 16.971

9.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

10.  Metabolic and genomic analysis elucidates strain-level variation in Microbacterium spp. isolated from chromate contaminated sediment.

Authors:  Michael W Henson; Jorge W Santo Domingo; Peter S Kourtev; Roderick V Jensen; James A Dunn; Deric R Learman
Journal:  PeerJ       Date:  2015-11-10       Impact factor: 2.984

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