Evidence map›Paper›PMID 29776927›Full record

ArticleApplied and environmental microbiology2018

Ecological Engineering Helps Maximize Function in Algal Oil Production.

Sara L Jackrel, Anita Narwani, Bastian Bentlage, Robert B Levine, David C Hietala, Phillip E Savage, Todd H Oakley, Vincent J Denef, Bradley J Cardinale

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Sara L JackrelEcology & Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA sjackrel@umich.edu.
Anita NarwaniSwiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Bastian BentlageUniversity of Guam Marine Laboratory, Mangilao, Guam.
Robert B LevineKemin Industries, Des Moines, Iowa, USA.
David C HietalaDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Phillip E SavageDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Todd H OakleyDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, California, USA.
Vincent J DenefEcology & Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-7830-8572
Bradley J CardinaleSchool for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan · USPennsylvania State University · USSwiss Federal Institute of Aquatic Science and Technology · CHUniversity of California, Santa Barbara · USUniversity of Guam · GU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Algal biofuels have the potential to curb the emissions of greenhouse gases from fossil fuels, but current growing methods fail to produce fuels that meet the multiple standards necessary for economical industrial use. For example, algae grown as monocultures for biofuel production have not simultaneously and economically achieved high yields of the high-quality lipid-rich biomass desired for the industrial-scale production of bio-oil. Decades of study in the field of ecology have demonstrated that simultaneous increases in multiple functions, such as the quantity and quality of biomass, can occur in natural ecosystems by increasing biological diversity. Here, we show that species consortia of algae can improve the production of bio-oil, which benefits from both a high biomass yield and a high quality of biomass rich in fatty acids. We explain the underlying causes of increased quantity and quality of algal biomass among species consortia by showing that, relative to monocultures, species consortia can differentially regulate lipid metabolism genes while growing to higher levels of biomass, in part due to a greater utilization of nutrient resources. We identify multiple genes involved in lipid biosynthesis that are frequently upregulated in bicultures and further show that these elevated levels of gene expression are highly predictive of the elevated levels in biculture relative to that in monoculture of multiple quality metrics of algal biomass. These results show that interactions between species can alter the expression of lipid metabolism genes and further demonstrate that our understanding of diversity-function relationships from natural ecosystems can be harnessed to improve the production of bio-oil.

Indexed as

BiofuelsChlorophytaEcologyFatty AcidsGene ExpressionGenetic EngineeringLipid MetabolismBiofuelsFatty Acidsbiofuelsdiversity-functiontranscriptomics

Identifiers

PMID29776927
PMCPMC6052273
OpenAlexW2804696295

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.