2 research outputs found
Recommended from our members
Review of the algal biology program within the National Alliance for Advanced Biofuels and Bioproducts
In 2010, when the National Alliance for Advanced Biofuels and Bioproducts (NAABB) consortium began, little was known about the molecular basis of algal biomass or oil production. Very few algal genome sequences were available and efforts to identify the best-producing wild species through bioprospecting approaches had largely stalled after the U.S. Department of Energy's Aquatic Species Program. This lack of knowledge included how reduced carbon was partitioned into storage products like triglycerides or starch and the role played by metabolite remodeling in the accumulation of energy-dense storage products. Furthermore, genetic transformation and metabolic engineering approaches to improve algal biomass and oil yields were in their infancy. Genome sequencing and transcriptional profiling were becoming less expensive, however; and the tools to annotate gene expression profiles under various growth and engineered conditions were just starting to be developed for algae. It was in this context that an integrated algal biology program was introduced in the NAABB to address the greatest constraints limiting algal biomass yield. This review describes the NAABB algal biology program, including hypotheses, research objectives, and strategies to move algal biology research into the twenty-first century and to realize the greatest potential of algae biomass systems to produce biofuels
The Marine Microbial Eukaryote Transcriptome Sequencing Project (MMETSP): illuminating the functional diversity of eukaryotic life in the oceans through transcriptome sequencing.
Microbial ecology is plagued by problems
of an abstract nature. Cell sizes are so
small and population sizes so large that
both are virtually incomprehensible. Niches
are so far from our everyday experience
as to make their very definition elusive.
Organisms that may be abundant and
critical to our survival are little understood,
seldom described and/or cultured,
and sometimes yet to be even seen. One
way to confront these problems is to use
data of an even more abstract nature:
molecular sequence data. Massive environmental
nucleic acid sequencing, such
as metagenomics or metatranscriptomics,
promises functional analysis of microbial
communities as a whole, without prior
knowledge of which organisms are in the
environment or exactly how they are
interacting. But sequence-based ecological
studies nearly always use a comparative
approach, and that requires relevant
reference sequences, which are an extremely
limited resource when it comes to
microbial eukaryotes.
In practice, this means sequence databases
need to be populated with enormous
quantities of data for which we have
some certainties about the source. Most
important is the taxonomic identity of
the organism from which a sequence is
derived and as much functional identification
of the encoded proteins as possible. In
an ideal world, such information would be
available as a large set of complete, well curated,
and annotated genomes for all the
major organisms from the environment
in question. Reality substantially diverges
from this ideal, but at least for bacterial
molecular ecology, there is a database
consisting of thousands of complete genomes
from a wide range of taxa,
supplemented by a phylogeny-driven approach
to diversifying genomics [2]. For
eukaryotes, the number of available genomes
is far, far fewer, and we have relied
much more heavily on random growth of
sequence databases, raising the
question as to whether this is fit for
purpose