2016
DOI: 10.1089/omi.2016.0065
|View full text |Cite
|
Sign up to set email alerts
|

Multi-omics Frontiers in Algal Research: Techniques and Progress to Explore Biofuels in the Postgenomics World

Abstract: Current momentum of microalgal research rests extensively in tapping the potential of multi-omics methodologies in regard to sustainable biofuels. Microalgal biomass is fermented to bioethanol; while lipids, particularly triacylglycerides (TAGs), are transesterified to biodiesels. Biodiesel has emerged as an ideal biofuel candidate; hence, its commercialization and use are increasingly being emphasized. Abiotic stresses exaggerate TAG accumulation, but the precise mechanisms are yet to be known. More recently,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 25 publications
(8 citation statements)
references
References 120 publications
0
8
0
Order By: Relevance
“…In the postgenomics era, system-wide overview provided by multi-omics studies contributes valuable insights on algal research in biofuels development (Rai et al, 2016), veterinary medicine (Li et al, 2015), and systemic progression on pathogenesis in liver cancer research (Nie et al, 2016), respectively. Proteomics, as an important technique in multi-omics study, still has limitations, despite improvements that were made in the last decade.…”
Section: Discussionmentioning
confidence: 99%
“…In the postgenomics era, system-wide overview provided by multi-omics studies contributes valuable insights on algal research in biofuels development (Rai et al, 2016), veterinary medicine (Li et al, 2015), and systemic progression on pathogenesis in liver cancer research (Nie et al, 2016), respectively. Proteomics, as an important technique in multi-omics study, still has limitations, despite improvements that were made in the last decade.…”
Section: Discussionmentioning
confidence: 99%
“…AI mediated data integration obtained from different “-omics” platforms such as genomics, epigenomics, transcriptomics, proteomics, and metabolomics enables the understanding of complex biological systems by describing nearly all biomolecules ranging from DNA to metabolites. Multi-omics researches have diverse applications in veterinary medicine ( Li Q. et al, 2015 ), microbiology ( Zhang et al, 2010 ), agriculture science ( Van Emon, 2016 ), biofuel ( Rai et al, 2016 ), and biomedical sciences ( More et al, 2015 ; Hasin et al, 2017 ; Awasthi et al, 2018 ; Patel et al, 2019 ) including oncology (see Table 1 ).…”
Section: Implications Of Artificial Intelligence In Cancer Multi-omicmentioning
confidence: 99%
“…For biogas production, omics tools have been used to evaluate the perturbations resulting from the application of variable biotic and abiotic factors (temperature, sludge retention time and organic loading rate) to the system [103][104][105] . Applied to algae, the omics approach is seen as an opportunity to define control points governing metabolic flux, and to propose rational algal strain-engineering targets 106,107 .…”
Section: Lignin Reductionmentioning
confidence: 99%