ABSTRACT
Ruminiclostridium sufflavum DSM 19573T and Anaerosphaera aminiphila DSM 21120T were first isolated from a methanogenic bioreactor treating cattle waste in Hokkaido, Japan. The R. sufflavum draft genome sequence is 4.4 Mb with 3,773 predicted genes, and the A. aminiphila draft genome sequence is 2.0 Mb with 1,962 predicted genes.
KEYWORDS: Ruminiclostridium sufflavum, Anaerosphaera aminiphila, draft genome sequence, bioreactors, amino acid fermentation
ANNOUNCEMENT
Anaerobic digestion depends on complex microbial communities that convert organic waste into biogas and nutrient-rich fertilizer. Methane-producing anaerobic bioreactors are commonly used to process livestock waste, and microorganisms in these bioreactors must efficiently ferment lipids, carbohydrates, and proteins (1). Ruminiclostridium sufflavum DSM 19573T (CDT-1T) and Anaerosphaera aminiphila DSM 21120T (WN036T) were isolated from rice straw residue in a methanogenic bioreactor used to treat cattle waste in Hokkaido, Japan (2–5). R. sufflavum DSM 19573T is an anaerobic Gram stain-variable bacillus that is motile via peritrichous flagella. It ferments the polysaccharides cellulose and xylan, with acetate and ethanol as primary products (3). A. aminiphila DSM 21120T is an anaerobic, nonmotile, Gram stain-variable coccus. It primarily ferments amino acids, producing acetate and butyrate as major products (2, 5). The draft genome sequences of these bacterial type strains will expand our understanding of amino acid and carbohydrate fermentation in waste treatment bioreactors.
R. sufflavum DSM 19573T and A. aminiphila DSM 21120T were sequenced by the Joint Genome Institute’s 1000 Microbial Genomes Project in 2014 (6). Freeze-dried cultures from DSMZ were used to inoculate 250 mL of DSMZ 110 medium (R. sufflavum) or 1500 mL of DSMZ 104b medium (A. aminiphila), with growth at 30°C for one day. Anaerobic conditions (100% N2) were established in sealed serum vials using the Hungate technique (7, 8). Genomic DNA was isolated from culture cell pellets using an Invitrogen Jetflex Genomic DNA Purification Kit (R. sufflavum) or a Lucigen MasterPure gram-positive DNA Purification Kit (A. aminiphila). DNA was sheared to ~300 bp using a Covaris LE220 ultrasonicator. Library preparation was performed using a KAPA Biosystems library preparation kit with Illumina-compatible adaptors. An Illumina TruSeq paired-end cluster kit (v.4) was then used to generate a clustered flow cell. A 2 × 150 indexed sequencing run was performed on an Illumina HiSeq 2000 using Illumina HiSeq TruSeq SBS sequencing kits (v.3 for A. aminiphila, v.4 for R. sufflavum). Read filtering was performed using DUK (v.1.0) (9); genome assembly was performed using Velvet (v.1.2.07), wgsim (v.1.0), and Allpaths-LG (v.r46652) (10–12); and genome annotation was performed using Prodigal (v.2.5) and GenePRIMP (v.1.0) (13, 14), with all software settings as previously described (15). An overview of the genomes is provided in Table 1.
TABLE 1.
Genomic features of Ruminiclostridium sufflavum DSM 19573T and Anaerosphaera aminiphila DSM 21120T
| Genome feature | R. sufflavum DSM 19573T | A. aminiphila DSM 21120T |
|---|---|---|
| Total number of sequencing reads | 7,329,322 | 6,439,906 |
| Total DNA sequenced (Mbp) | 1,099.4 | 966.0 |
| Assembled draft genome size (bp) | 4,401,411 | 2,021,907 |
| Number of scaffolds | 57 | 32 |
| Scaffold N50 (bp) | 172,915 | 122,354 |
| Average fold coverage | 248× | 467× |
| CheckM2 genome completeness (16) | 100% | 99.6% |
| Check M2 genome contamination (16) | 0.16% | 0.04% |
| GC content | 38.62% | 31.54% |
| Predicted genes | 3,773 | 1,962 |
| Predicted protein-coding genes | 3683 | 1916 |
| Predicted rRNAs | 9 | 9 |
| Predicted tRNAs | 52 | 32 |
| Joint Genome Institute IMG/M taxon ID | 2599185205 | 2585428066 |
| NCBI WGS accession number | GCF_003208175.1 | GCA_900129925.1 |
| NCBI Bioproject accession number | PRJNA262320 | PRJNA245635 |
| NCBI Sequence Read Archive accession number | SRR4140139 | SRR4096543 |
| NCBI BioSample number | SAMN05660363 | SAMN02745245 |
Amino acid fermentation in bacteria has been poorly characterized compared to carbohydrate fermentation (17–19). R. sufflavum DSM 19573T ferments cellulose and xylan (3), and genome analyses using IMG/M (20) revealed 22 putative cellulases (genes with glycoside hydrolase 5/8/9/44/48 domains) and three putative xylanases (genes with glycoside hydrolase 10/11 domains). A. aminiphila DSM 21120T ferments amino acids, including glutamate (2). Two major glutamate fermentation pathways have been described in bacteria: the 2-hydroxyglutarate pathway and the 3-methylaspartate pathway (21). While the A. aminiphila DSM 21120T genome lacks genes encoding the enzymes in the 3-methylaspartate pathway, genes encoding all 2-hydroxyglutarate pathway enzymes appear to be present, many organized in a set of consecutive operons (Fig. 1). Further research is needed to verify the operation of the 2-hydroxyglutarate pathway in A. aminiphila DSM 21120T.
Fig 1.
Putative 2-hydroxyglutarate-based glutamate fermentation pathway in A. aminiphila DSM 21120T. (A) 2-hydroxyglutarate pathway, with green circles indicating the presence of putative genes encoding pathway enzymes. 1. Glutamate dehydrogenase, Joint Genome Institute (JGI) Gene ID 2587768148; 2. 2-oxoglutarate reductase, JGI Gene IDs 2587768177 and 2587768289; 3. glutaconate CoA-transferase, JGI Gene IDs 2587769252 (subunit A) and 2587769253 (subunit B); 4. 2-hydroxyglutaryl-CoA dehydratase, JGI Gene IDs 2587769256 (subunit alpha) and 2587769257 (subunit beta); 5. glutaconyl-CoA decarboxylase, JGI Gene IDs 2587769254 (subunit alpha), 2587769249 (subunit delta), and 2587769250 (subunit gamma); 6. butanoyl-CoA dehydrogenase, JGI Gene ID 2587768393; 7. butanoyl-CoA transferase. JGI Gene ID 2587768328. (B) A series of consecutive A. aminiphila DSM 21120T operons containing genes encoding putative glutamate fermentation pathway enzymes, as indicated.
ACKNOWLEDGMENTS
The work (proposal DOI: https://doi.org/10.46936/10.25585/60000886) was conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility that is supported by the Office of Science of the U.S. Department of Energy operated under contract number DE-AC02-05CH11231. This announcement was largely prepared by undergraduate students, and we gratefully acknowledge JGI for initiating and supporting it as an educational project (the “Adopt-a-genome” Project).
Contributor Information
Rekha Seshadri, Email: rseshadri@lbl.gov.
Matthew Escobar, Email: mescobar@csusm.edu.
Julie C. Dunning Hotopp, University of Maryland School of Medicine, Baltimore, Maryland, USA
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