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Computer Networks

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Title: Computer Networks


1
Computer Networks the Canadian Barcode of Life
NetworkBy Gary W. Saunders
  • Algal phylogeny
  • understanding how algae are related to one
    another
  • the evolution of their many unusual features
  • Biodiversity monitoring inventories
  • Detailed species lists for an area
  • Identifying new records
  • Discovering new species

J. Huisman
2
We look directly at DNA
  • stored in nucleus, mitochondrion chloroplast
    (plants)
  • Codes the genetic information for all of life as
    a series of four molecules
  • ATGCTGCAT
  • Records the history of life as well
  • Related species have similar DNA
  • Individuals of a species have essentially the
    same DNA

3
  • Two of the Mazzaella spp. in the British Columbia
    flora
  • M. splendens broad blade tapering to short
    stipe
  • M. linearis linear blade with prominent stipe
  • Problem of morphological intermediates

3 cm.
Mazzaella linearis? splendens? sp. nov.?
Mazzaella splendens
Mazzaella linearis
4
DNA Barcode results
  • By comparing DNA fingerprints we can resolve
    complex species issues
  • DNA fingerprints can be used to quickly and
    accurately assign unknown specimens to a
    biological species

5
Canadian Barcode of Life Network
  • Acquire a genetic barcode (DNA fingerprint) for
    every species in Canada
  • In essence, by determining this short bit of DNA
    for a sample, any species could be identified by
    anyone, eventually anywhere - handheld device
  • Removes the need for dedicated taxonomic
    expertise for routine species identification
  • Powerful tool for identification of
  • Invasive species
  • Pathogens/contaminants in food, agriculture,
    forestry, medicine (e.g., identify animal
    products in cattle feed)
  • Assist species identification in environmental
    and ecological investigations

6
Developing a Barcode Database
  • Acquire a genetic barcode (DNA fingerprint) for
    every species in Canada
  • Massive task - millions of species in Canada
  • Require nation-wide investment in personnel
    resources
  • Initial fingerprint requires substantial
    taxonomic expertise (i.e., experts on the
    different groups of life from protists, fungi,
    plants to animals)
  • Experts are not concentrated at a core facility,
    but distributed at universities museums across
    the country
  • Generate a searchable database
  • end-users (academic, government agencies,
    industry) can search for the identity of unknown
    species by checking DNA fingerprint

7
Computer Networks Are Key to Canadian Barcode of
Life Network
  • Canada-wide collaborative initiative
  • Physically decentralized
  • Involves researchers from Government, Museums
    Herbaria, University academics
  • Includes players from British Columbia to Nfld
  • Virtually centralized via the internet at the
    University of Guelph in Ontario
  • Daily communication via email
  • Acquire information from the net
  • Provide information to the net

8
Example Node Saunders Lab at UNB
  • Taxonomic expertise
  • Marine freshwater macroalgae
  • Geographical scope
  • Canada wide - direct collection samples
    provided by peers in other regions
  • Method
  • Collect samples
  • Identify species document attributes
  • Determine DNA fingerprint
  • Upload data to BOLD - searchable database for end
    users

J. Huisman
9
(No Transcript)
10
Marine Macroalgae of Canada
Research completed at UNB data are uploaded
(Guelph) managed by GWS from anywhere with web
access.
11
Entry for Each Collection
  • Species name classification
  • Voucher location
  • Image
  • Distribution collection site for that sample
  • DNA barcode

12
DNA Barcode (fingerprint)
13
Searchable Database for End-users from Anywhere
with Web Access
ENTER SEQUENCE FROM UNKNOWN SPECIES HERE SEARCH
DATABASE
Rapid Accurate Species Identification
14
Conclusions
  • Research Networking via Computer Networks
  • Bringing together a broad range of scientists
    from across Canada to complete a task of
    considerable benefit to the nation that would not
    otherwise be feasible
  • Opens opportunities for experts working at small
    and/or remote institutions to contribute without
    the need for relocation
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