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Title: Pond Crash Forensics: Presumptive identification of pond crash agents by next generation sequencing in replicate raceway mass cultures of Nannochloropsis salina

Productivity of algal mass culture can be severely reduced by contaminating organisms. It is, therefore, important to identify contaminants, determine their effect on productivity and, ultimately, develop countermeasures against such contamination. In this paper, we utilized microbiome analysis by second-generation sequencing of small subunit rRNA genes to characterize the predator and pathogen burden of open raceway cultures of Nannochloropsis salina. Samples were analyzed from replicate raceways before and after crashes. In one culture cycle, we identified two algivorous species, the rotifer Brachionus and gastrotrich Chaetonotus, the presence of which may have contributed to the loss of algal biomass. In the second culture cycle, the raceways were treated with hypochlorite in an unsuccessful attempt to interdict the crash. Finally, our analyses were shown to be an effective strategy for the identification of the biological contaminants and the characterization of intervention strategies.
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  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States). Systems Biology
  2. Texas A&M AgriLife Research and Extension Center, Corpus Christi, TX (United States). AgriLife Research Mariculture Lab. at Flour Bluff
Publication Date:
Report Number(s):
Journal ID: ISSN 2211-9264; PII: S2211926416301679
Grant/Contract Number:
AC04-94AL85000; NL0022897
Accepted Manuscript
Journal Name:
Algal Research
Additional Journal Information:
Journal Volume: 17; Journal ID: ISSN 2211-9264
Research Org:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
Contributing Orgs:
Texas A&M AgriLife Research and Extension Center, Corpus Christi, TX (United States)
Country of Publication:
United States
59 BASIC BIOLOGICAL SCIENCES; Algae mass culture; Biocontamination; Biomass algal crash; Second generation sequencing; Microbiome analysis
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1323980