
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Bioethanolic yeasts from dung beetles: tapping the potential of extremophilic yeasts for improvement of lignocellulolytic feedstock fermentation

pmid: 33827664
pmc: PMC8028181
AbstractBioethanol from abundant and inexpensive agricultural and industrial wastes possesses the potential to reduce greenhouse gas emissions. Bioethanol as renewable fuel addresses elevated production costs, as well as food security concerns. Although technical advancements in simultaneous saccharification and fermentation have reduced the cost of production, one major drawback of this technology is that the pre-treatment process creates environmental stressors inhibitory to fermentative yeasts subsequently reducing bioethanol productivity. Robust fermentative yeasts with extreme stress tolerance remain limited. This review presents the potential of dung beetles from pristine and unexplored environments as an attractive source of extremophilic bioethanolic yeasts. Dung beetles survive on a recalcitrant lignocellulose-rich diet suggesting the presence of symbiotic yeasts with a cellulolytic potential. Dung beetles inhabiting extreme stress environments have the potential to harbour yeasts with the ability to withstand inhibitory environmental stresses typically associated with bioethanol production. The review further discusses established methods used to isolate bioethanolic yeasts, from dung beetles.
- University of Amsterdam Netherlands
- Utrecht University Netherlands
- Botswana International University of Science and Tecnology Botswana
- Royal Netherlands Academy of Arts and Sciences Netherlands
- Royal Netherlands Academy of Arts and Sciences (KNAW) Netherlands
Biomass (ecology), 570, Bioethanol Production, Biomedical Engineering, Diversity and Systematics of Yeasts, Review, FOS: Medical engineering, Agricultural and Biological Sciences, Food science, Engineering, TP315-360, Biofuel, Yeasts, Biochemistry, Genetics and Molecular Biology, Molecular Biology, Biology, Ecology, 500, Life Sciences, Fuel, Raw material, Agronomy, Bioethanol production, Extremophilic trait, Microbial Interactions in Wine Production and Flavor, Ethanol Fermentation, FOS: Biological sciences, Physical Sciences, Fermentation, Technologies for Biofuel Production from Biomass, Dung beetles, TP248.13-248.65, Food Science, Biotechnology
Biomass (ecology), 570, Bioethanol Production, Biomedical Engineering, Diversity and Systematics of Yeasts, Review, FOS: Medical engineering, Agricultural and Biological Sciences, Food science, Engineering, TP315-360, Biofuel, Yeasts, Biochemistry, Genetics and Molecular Biology, Molecular Biology, Biology, Ecology, 500, Life Sciences, Fuel, Raw material, Agronomy, Bioethanol production, Extremophilic trait, Microbial Interactions in Wine Production and Flavor, Ethanol Fermentation, FOS: Biological sciences, Physical Sciences, Fermentation, Technologies for Biofuel Production from Biomass, Dung beetles, TP248.13-248.65, Food Science, Biotechnology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).17 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
