Dataset Information

Chromosome-Scale Genome Assembly of Two Australian Nannochloropsis oceanica Isolates Exhibiting Superior Lipid Characteristics.

ABSTRACT: Nannochloropsis oceanica strains BR2 and KB1 are microalgal isolates from brackish water in the Brisbane River and a coastal rock pool at the Sunshine Coast in Australia which display superior productivity at high temperatures. We used long-read sequencing to sequence their genomes and to facilitate elucidation of loci associated with these traits.

SUBMITTER: Brown RB

PROVIDER: S-EPMC6883114 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Chromosome-Scale Genome Assembly of Two Australian Nannochloropsis oceanica Isolates Exhibiting Superior Lipid Characteristics.

Brown Reuben B RB Wass Taylor J TJ Thomas-Hall Skye R SR Schenk Peer M PM

Microbiology resource announcements 20191127 48

<i>Nannochloropsis oceanica</i> strains BR2 and KB1 are microalgal isolates from brackish water in the Brisbane River and a coastal rock pool at the Sunshine Coast in Australia which display superior productivity at high temperatures. We used long-read sequencing to sequence their genomes and to facilitate elucidation of loci associated with these traits. ...[more]

PMID: 31776227

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Project description:BackgroundNannochloropsis oceanica belongs to a large group of photoautotrophic eukaryotic organisms that play important roles in fixation and cycling of atmospheric CO2. Its capability of storing solar energy and carbon dioxide in the form of triacylglycerol (TAG) of up to 60% of total weight under nitrogen deprivation stress sparked interest in its use for biofuel production. Phenotypes varying in lipid accumulation among an N. oceanica population can be disclosed by single-cell analysis/sorting using fluorescence-activated cell sorting (FACS); yet the phenomenon of single cell heterogeneity in an algae population remains to be fully understood at the molecular level. In this study, combination of FACS and proteomics was used for identification, quantification and differentiation of these heterogeneities on the molecular level.ResultsFor N. oceanica cultivated under nitrogen deplete (-N) and replete (+N) conditions, two groups differing in lipid content were distinguished. These differentiations could be recognized on the population as well as the single-cell levels; proteomics uncovered alterations in carbon fixation and flux, photosynthetic machinery, lipid storage and turnover in the populations. Although heterogeneity patterns have been affected by nitrogen supply and cultivation conditions of the N. oceanica populations, differentiation itself seems to be very robust against these factors: cultivation under +N, -N, in shaker bottles, and in a photo-bioreactor all split into two subpopulations. Intriguingly, population heterogeneity resumed after subpopulations were separately recultivated for a second round, refuting the possible development of genetic heterogeneity in the course of sorting and cultivation.ConclusionsThis work illustrates for the first time the feasibility of combining FACS and (prote)-omics for mechanistic understanding of phenotypic heterogeneity in lipid-producing microalgae. Such combinatorial method can facilitate molecular breeding and design of bioprocesses.

Dataset Information

Chromosome-Scale Genome Assembly of Two Australian Nannochloropsis oceanica Isolates Exhibiting Superior Lipid Characteristics.

Publications

Chromosome-Scale Genome Assembly of Two Australian Nannochloropsis oceanica Isolates Exhibiting Superior Lipid Characteristics.

Similar Datasets

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