Open access
Announcement
27 September 2018

Draft Genome Assemblies of Five Robust Yarrowia lipolytica Strains Exhibiting High Lipid Production, Pentose Sugar Utilization, and Sugar Alcohol Secretion from Undetoxified Lignocellulosic Biomass Hydrolysates

ABSTRACT

Screening the genetic diversity of 45 Yarrowia lipolytica strains identified five candidates with unique metabolic capability and robustness in undetoxified switchgrass hydrolysates, including superior lipid production and efficient pentose sugar utilization. Here, we report the genome sequences of these strains to study their robustness and potential to produce fuels and chemicals.

ANNOUNCEMENT

Yarrowia lipolytica is a dimorphic, generally regarded as safe (GRAS) oleaginous budding yeast (subphylum Saccharomycotina). It possesses unique phenotypes, including hydrocarbon assimilation (15), specialty lipid and organic acid production (611), and resistance to harsh environments, including high salinity (12), broad-range pH (13), and ionic liquid (14). By screening a comprehensive set of 45 Y. lipolytica strains with genetic diversity from the Agricultural Research Service Culture Collection (https://nrrl.ncaur.usda.gov/), we identified five promising candidate strains, YB-392, YB-419, YB-420, YB-566, and YB-567, exhibiting beneficial phenotypes for industrial biocatalysis, including biomass hydrolysate consumption, inhibitor tolerance, and lipid and fatty acid production (15). In this study, we sequenced the genomes of these robust Y. lipolytica strains to aid further research into their physiology, metabolism, and genetics as well as metabolic engineering and synthetic biology for industrial biocatalysis.
The genomes of five Y. lipolytica isolates were extracted with the Zymo Research fungal/bacterial DNA miniprep kit (catalog number D6005; Zymo Research, Irvine, CA). Sequencing was carried out by The Department of Energy Joint Genome Institute (DOE JGI) using Illumina 500-bp insert size fragments, for which 100 ng of DNA was sheared to 500 bp using the LE220 focused ultrasonicator (Covaris, Woburn, MA) and size selected using solid phase reversible immobilization (SPRI) beads (Beckman Coulter, Brea, CA). The fragments were treated with end repair, A tailing, and ligation of Illumina-compatible adapters (IDT, Inc., Skokie, IL) using the KAPA-Illumina library creation kit (Kapa Biosystems, Boston, MA). All prepared libraries were quantified using the Kapa Biosystems next-generation sequencing library quantitative PCR (qPCR) kit and run on a Roche LightCycler 480 real-time PCR instrument. The quantified libraries were then multiplexed with other libraries, and the pool of libraries was then prepared for sequencing on the Illumina HiSeq sequencing platform utilizing a TruSeq paired-end cluster kit v4 and Illumina’s cBot instrument to generate a clustered flow cell for sequencing. Sequencing of the flow cell was performed on the Illumina HiSeq 2500 sequencer using the HiSeq TruSeq sequencing by synthesis (SBS) kits v4 following a 2 × 100-bp indexed run recipe. All raw Illumina sequence data were filtered for artifact/process contamination using the JGI quality control (QC) pipeline. Briefly, BBDuk v36.94 (http://bbtools.jgi.doe.gov) was used to remove contaminants, reads that contained adapter sequences, and right quality trim reads where quality dropped to 0. BBDuk was also applied to eliminate reads containing 1 or more “N” bases, having an average quality score across the read of less than 13 or containing a minimum length of ≤ 41 bp or 33% of the full read length. Using BBMap, reads that were mapped to masked human, cat, dog, and mouse references at 95% identity and aligned to common microbial contaminants were separated. Filtered genomic reads were assembled with SPAdes v3.11.1 (16) using the parameters –phred-offset 33 –cov-cutoff auto -t 16 -m 115 –careful –12 to produce the target nuclear assembly. All genomes were annotated with the reference genome FKP355 (https://genome.jgi.doe.gov/Yarlip1) using the JGI annotation pipeline (17), which integrates an array of tools for gene prediction, annotation, and analysis (18).

Data availability.

The whole-genome assemblies and annotation were deposited at DDBJ/EMBL/GenBank under the accession numbers listed in Table 1. The versions provided in this paper are the first versions.
TABLE 1
TABLE 1 Whole-genome assemblies and annotation for five Yarrowia lipolytica strains
StrainGenBank accession no.SRA no.BioProject no.Genome
size (Mbp)
Coverage (×)No. of
contigs
No. of gene
models
YB392QPFG00000000SRP129817PRJNA37015420.187353626,750
YB419QPFH00000000SRP129816PRJNA37015520.147403706,751
YB420QPFI00000000SRP129815PRJNA37015620.22593696,772
YB566QPFJ00000000SRP129822PRJNA37015720.271482716,764
YB567QPFK00000000SRP129827PRJNA37015820.277562636,776

ACKNOWLEDGMENTS

This research was funded by the National Science Foundation (NSF CBET number 1511881). The sequencing project was supported by The BioEnergy Science Center (BESC) and The Center for Bioenergy Innovation (CBI), U.S. Department of Energy Bioenergy Research Centers, supported by the Office of Biological and Environmental Research in the DOE Office of Science. The work conducted by the U.S. Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy under contract number DE-AC02-05CH11231.
We thank Scott Baker for permission to use additional transcriptomics data for Y. lipolytica (JGI sequencing project Yarrowia lipolytica FKP355 v1.0, https://genome.jgi.doe.gov/Yarlip1).

REFERENCES

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Information & Contributors

Information

Published In

cover image Microbiology Resource Announcements
Microbiology Resource Announcements
Volume 7Number 1227 September 2018
eLocator: 10.1128/mra.01040-18
Editor: Jason Stajich, University of California, Riverside

History

Received: 10 August 2018
Accepted: 4 September 2018
Published online: 27 September 2018

Contributors

Authors

Caleb Walker
Department of Chemical and Biomolecular Engineering, The University of Tennessee, Knoxville, Tennessee, USA
Seunghyun Ryu
Department of Chemical and Biomolecular Engineering, The University of Tennessee, Knoxville, Tennessee, USA
Hyunsoo Na
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Matthew Zane
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Kurt LaButti
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Anna Lipzen
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Sajeet Haridas
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Kerrie Barry
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Igor V. Grigoriev
U.S. Department of Energy, The Joint Genome Institute, Walnut Creek, California, USA
Joshua Quarterman
The National Center for Agricultural Utilization Research, Peoria, Illinois, USA
Patricia Slininger
The National Center for Agricultural Utilization Research, Peoria, Illinois, USA
Bruce Dien
The National Center for Agricultural Utilization Research, Peoria, Illinois, USA
Department of Chemical and Biomolecular Engineering, The University of Tennessee, Knoxville, Tennessee, USA

Editor

Jason Stajich
Editor
University of California, Riverside

Notes

Address correspondence to Cong T. Trinh, [email protected].

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