Mapping the Path Forward to Next Generation Algal Technologies: Workshop on Understanding the Rules of Life and Complexity in Algal Systems
Abstract
Algal technology offers enormous potential as a source of renewable biomass and bioproducts for fuels, biochemicals, nutrients, and numerous other applications. While tremendous opportunities exist, significant challenges are also present in harnessing and utilizing this valuable and potentially sustainable bioproduction platform. Funded by a joint partnership between the Bioenergy Technologies Office (BETO) at the Department of Energy (DOE) and the National Science Foundation (NSF), the recent virtual workshop, "Understanding the Rules of Life: Complexity in Algal Systems Workshop," was organized to bring together thought leaders from academia, national laboratories and other government agencies, and industry to identify key challenges and propose research strategies to overcome these barriers. Two parallel sessions were undertaken: 1) algae strain and toolkit development and 2) algal ecosystem and microbiome dynamics, in order to advance algae engineering and cultivation efforts. In each session, attendees discussed the most pressing challenges from the perspective of model systems and omics analysis. Themes such as genetic engineering toolboxes, translation from the laboratory to outdoor cultivation, functional genomics, metabolomics, algal ecology, consortial design, microbiome dynamics, mathematical models, and data analytics emerged from the discussion. Overall, this workshop has served to elucidate the key hurdles and many opportunities present as we continuemore »
- Authors:
-
[2];
- Johns Hopkins Univ., Baltimore, MD (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Colorado State Univ., Fort Collins, CO (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office; USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1832445
- Alternate Identifier(s):
- OSTI ID: 1826973
- Report Number(s):
- NREL/JA-2700-81525
Journal ID: ISSN 2211-9264; MainId:82298;UUID:e195b7e3-6db9-4483-89d7-0d790649d448;MainAdminID:63351
- Grant/Contract Number:
- AC36-08GO28308; NL0035866; 28812; WBS 1.3.5.011; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Algal Research
- Additional Journal Information:
- Journal Volume: 60; Journal ID: ISSN 2211-9264
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; industrial biotechnology; microbiome; model systems; omics; synthetic biology
Citation Formats
Wen, Junneng, Rapp, Kent, Dahlin, Lukas R., Li, Chien-Ting, Sebesta, Jacob, Barry, Amanda N., Guarnieri, Michael T., Peebles, Christie, and Betenbaugh, Michael. Mapping the Path Forward to Next Generation Algal Technologies: Workshop on Understanding the Rules of Life and Complexity in Algal Systems. United States: N. p., 2021.
Web. doi:10.1016/j.algal.2021.102520.
Wen, Junneng, Rapp, Kent, Dahlin, Lukas R., Li, Chien-Ting, Sebesta, Jacob, Barry, Amanda N., Guarnieri, Michael T., Peebles, Christie, & Betenbaugh, Michael. Mapping the Path Forward to Next Generation Algal Technologies: Workshop on Understanding the Rules of Life and Complexity in Algal Systems. United States. https://doi.org/10.1016/j.algal.2021.102520
Wen, Junneng, Rapp, Kent, Dahlin, Lukas R., Li, Chien-Ting, Sebesta, Jacob, Barry, Amanda N., Guarnieri, Michael T., Peebles, Christie, and Betenbaugh, Michael. Tue .
"Mapping the Path Forward to Next Generation Algal Technologies: Workshop on Understanding the Rules of Life and Complexity in Algal Systems". United States. https://doi.org/10.1016/j.algal.2021.102520. https://www.osti.gov/servlets/purl/1832445.
@article{osti_1832445,
title = {Mapping the Path Forward to Next Generation Algal Technologies: Workshop on Understanding the Rules of Life and Complexity in Algal Systems},
author = {Wen, Junneng and Rapp, Kent and Dahlin, Lukas R. and Li, Chien-Ting and Sebesta, Jacob and Barry, Amanda N. and Guarnieri, Michael T. and Peebles, Christie and Betenbaugh, Michael},
abstractNote = {Algal technology offers enormous potential as a source of renewable biomass and bioproducts for fuels, biochemicals, nutrients, and numerous other applications. While tremendous opportunities exist, significant challenges are also present in harnessing and utilizing this valuable and potentially sustainable bioproduction platform. Funded by a joint partnership between the Bioenergy Technologies Office (BETO) at the Department of Energy (DOE) and the National Science Foundation (NSF), the recent virtual workshop, "Understanding the Rules of Life: Complexity in Algal Systems Workshop," was organized to bring together thought leaders from academia, national laboratories and other government agencies, and industry to identify key challenges and propose research strategies to overcome these barriers. Two parallel sessions were undertaken: 1) algae strain and toolkit development and 2) algal ecosystem and microbiome dynamics, in order to advance algae engineering and cultivation efforts. In each session, attendees discussed the most pressing challenges from the perspective of model systems and omics analysis. Themes such as genetic engineering toolboxes, translation from the laboratory to outdoor cultivation, functional genomics, metabolomics, algal ecology, consortial design, microbiome dynamics, mathematical models, and data analytics emerged from the discussion. Overall, this workshop has served to elucidate the key hurdles and many opportunities present as we continue to advance algal science and technology from the laboratory and into the commercial realm.},
doi = {10.1016/j.algal.2021.102520},
journal = {Algal Research},
number = ,
volume = 60,
place = {United States},
year = {Tue Oct 19 00:00:00 EDT 2021},
month = {Tue Oct 19 00:00:00 EDT 2021}
}
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