Knowledge Management Tools
Matthew Lange - UC Davis
Part of genomics’ success has resulted from genes being annotated
with structured vocabularies like the Gene Ontology. Unknown functions
of genes can often be predicted by comparing their sequences to similar
sequences of genes whose expression profiles have been annotated with
functional/structural information. Similarly, metabolic pathways can be
predicted from annotated enzymes. Even with these advances,
the unprecedented amount of information derived from the new genomics
technologies is still outpacing our ability to transform that same
information into actionable knowledge. While these advances increase
our knowledge about genes and the structures/functions/systems they
give rise to, knowledge about how systems interact to impact
health/nutritional status has yet to be codified into formalized
ontologies or databases. Access to tools that allow researchers
to mine this information is similarly daunting, with steep learning
curves both for choosing available tools, as well as learning how to
use them.
Presented here is a demonstration of the International Milk Genomics
Consortium’s state-of-the-art Web Portal where leading international
experts in nutrition, genomics, bioinformatics and lactation can
contribute/review ongoing research. Emphasis will be placed on
demonstrating how the Portal can unite scientists from across the milk
research spectrum to identify subsets of mammalian genomes responsible
for milk creation and digestion; and to distinguish the actions and
nutritional benefits by which mammalian milk genes and their products
evolved.
The Portal guides expert and novice users by automatically displaying
relationships between publicly available databases and
ontologies. By mapping these resources into a visual framework
where researchers can navigate within a milk-and-health oriented *-omic
information space, (while sharing, annotating, commenting, and
contributing any particular concept relevant to their scientific
pursuit); researchers can focus on translating biological information
into health knowledge.
We know that milk evolved to nourish growing mammals. The
survival of mammalian offspring consuming milk exerted strong Darwinian
selective pressure on the evolution of the lactation process. This
evolutionary pressure led to genes, their products, proteins, peptides,
complex lipids and oligosaccharides coming together as a complex,
multi-component food system. Thus, mammalian genomes are
repositories of perhaps the most valuable resource for understanding
the molecular basis of diets for improved health: lactation. Yet, only
a fraction of milk's biological value is known. The Portal
provides a collaborative, networked environment where researchers can
begin assembling sophisticated annotations of these biological systems
and components with information about health.
Proof-of-principle for health-based annotation already exists, but is
based on disease annotations involving SNPs, nutrient deficiencies, or
exposure to toxins. Annotating genes, their products, nutrients, and/or
metabolites with health information is much more difficult to conceive.
Among the difficulties in developing “health” ontologies, versus
“disease” ontologies, is that terms that would distinguish health by
absolute scientific criteria are not defined.
Finally, also presented here then, is a brief deconstruction of health
as a concept, its components, its causal relationships, and a suggested
framework for the development of health/nutrition ontologies.
Widespread adoption of such ontologies could provide a formalized
conduit through which newly discovered biological knowledge can be
translated into evidence-based clinical practice. Of course, the
ultimate goal is to translate this knowledge of milk, and its
properties, into improved health through diets for humans.

