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A Flexible Architecture for 
Plant Functional Genomics 
in Space Environments 
Dr. Terri Lomax 
Department of Botany and Plant Pathology 
Oregon State University
A Flexible Architecture for 
Plant Functional Genomics 
in Space Environments 
Goals: 
• Remotely measure the response of plants 
to any unique space condition 
• Determine gene function 
• Optimize plant performance under space 
conditions
Basic Architecture for 
Plant Functional Genomics 
Space 
Environmental 
Condition 
Test Plant 
RNA 
DNA 
Microarrays 
Gene 
Isolation 
Gene 
Disruption 
Optimized 
Performance 
Gene 
Modification 
Functional 
Analysis
The “NIAC Dilemna” 
“Planning for things that will be 
practical in 2010 - 2040 
but needing to demonstrate 
practibility now” 
Dr. Steven Dubowsky, MIT 
(NIAC Fellow)
Model System to Test Architecture Feasibility 
Gravistimulation 
of 
Arabidopsis 
DNA 
Microarrays 
Arabidopsis 
Genomic 
Database 
Moss Gene 
Database 
Optimized 
Performance 
Moss 
Gravitropism 
Gene Disruption 
by Homologous 
Recombination 
Assays 
Arabidopsis 
RNA
Arabidopsis thaliana: 
• model plant system 
• defined gravitropic response 
• genome sequence complete 
• targeted gene knock-outs 
inefficient
Physcomitrella patens : 
• gene knockout efficiencies > 90% via 
homologous recombination 
• defined gravitropic response 
• more closely related to 
dicots than monocots 
• similar DNA usage 
• used to determine cellular 
function of an Arabidopsis gene
Basic Architecture for 
Plant Functional Genomics 
DNA 
Microarrays 
Space 
Environmental 
Condition 
Test Plant 
RNA
Microarray Technology 
A Flexible Architecture for 
Plant Functional Genomics 
in Space Environments 
• temporal and spatial 
gene expression 
• Affymetrix Arabidopsis 
gene chips with over 
8200 genes 
• provides information on 
gene involvement in 
a process or pathway
Basic Architecture for 
Plant Functional Genomics 
DNA 
Microarrays 
Gene 
Isolation 
Space 
Environmental 
Condition 
Test Plant 
RNA
Data Mining: 
Plant Genome Sequence Databases
Moss EST Sequence Databases 
The Physcomitrella 
EST Program 
University of Leeds, UK/ 
Washington University, 
St. Louis, MO 
Goal: 30,000 EST sequences 
To Date: 14,410 moss EST sequences on GenBank 
Physcomitrella Genomics Program 
University of Freiburg/BASF 
To Date: 120,000 EST sequences representing 
22,000 different genes
Basic Architecture for 
Plant Functional Genomics 
Space 
Environmental 
Condition 
Test Plant 
RNA 
DNA 
Microarrays 
Gene 
Isolation 
Gene 
Disruption
Functional Genomics 
Gene function - analysis of gene malfunction 
Conventional Approaches: 
• manipulate the level of gene expression 
• block the expression of a gene 
Problems: 
• non-directed integration of transgenes 
• positional effects 
• gene silencing due to co-suppression 
• incorrect spatial and temporal expression
Targeted Gene Knock-out 
through Homologous Recombination 
moss 
genome 
plasmid 
bc 
moss 
genome 
moss 
genome 
p a b c b c d 
plasmid 
a b c d 
p
Regeneration following transformation 
of protoplasts 
No selection Antibiotic selection
Basic Architecture for 
Plant Functional Genomics 
Functional 
Analysis 
Space 
Environmental 
Condition 
bc 
p 
a b c d 
Gene 
Disruption 
Test Plant 
RNA 
DNA 
Microarrays 
Gene 
Isolation
Transfer strips of 
mutagenized 
tissue and allow 
to regenerate 
gravity vector 
Transfer to 
unilateral 
Grow in darkness 
light light 
source 
agr 
ww 
r 
ptr
agr wwr
QuickTime™ and a 
Cinepak decompressor 
are needed to see this picture.
Feasibility of Antisense Knockouts: 
Can we get the oligos in? 
Untransformed moss protoplasts 
with no fluorescein-tagged oligo 
Untransformed moss protoplasts 
with fluorescein-tagged oligo 
Moss protoplasts transformed 
with fluorescien-tagged oligo
Architecture Issues & Accomplishments 
Ö Test plant Arabidopsis thaliana as model 
system to identify genes involved in the 
gravitropic response 
Ö Optimize sample preparation for 
differential 
expression analysis 
Ö Affymetrix Microarray analysis 
Ö Identify genes whose expression 
increases 
Arabidopsis 
Arabidopsis 
RNA 
DNA 
Microarrays 
Arabidopsis 
Database
Architecture Issues & Accomplishments 
Ö Establish Physcomitrella patens model system 
to determine function of genes 
  Ö propagation and maintenance 
  Ö protoplast isolation, transformation, and 
regeneration 
ÖCollaborative agreements with two sources for 
moss gene databases 
ÖAssemble molecular tools for gene knock-outs 
  Ö cDNA and genomic libraries 
  Ö two types of vectors 
Moss 
System 
Moss 
Database 
Gene 
Disruption
What’s Next? 
Near Future: 
Ø Increase repetitions for microarray analysis 
to confirm differential gene expression 
Ø Construct replacement and knock-out vectors 
using available genomic and cDNA sequences 
Ø Generate transformed moss and score for 
phenotype
The Future: 2002-2020 
Ø Introduce additional environmental 
conditions into architecture 
Ø space-flown plant material 
Ø Expand collaborations with Affymetrix and 
AVI Biopharma to develop remote technologies 
Ø Adapt architecture to accommodate additional 
plant systems as data and technologies evolve 
Ø Work with engineers to optimize architecture 
for space flight/habitat

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Plant functionalgenomics

  • 1. A Flexible Architecture for Plant Functional Genomics in Space Environments Dr. Terri Lomax Department of Botany and Plant Pathology Oregon State University
  • 2. A Flexible Architecture for Plant Functional Genomics in Space Environments Goals: • Remotely measure the response of plants to any unique space condition • Determine gene function • Optimize plant performance under space conditions
  • 3. Basic Architecture for Plant Functional Genomics Space Environmental Condition Test Plant RNA DNA Microarrays Gene Isolation Gene Disruption Optimized Performance Gene Modification Functional Analysis
  • 4. The “NIAC Dilemna” “Planning for things that will be practical in 2010 - 2040 but needing to demonstrate practibility now” Dr. Steven Dubowsky, MIT (NIAC Fellow)
  • 5. Model System to Test Architecture Feasibility Gravistimulation of Arabidopsis DNA Microarrays Arabidopsis Genomic Database Moss Gene Database Optimized Performance Moss Gravitropism Gene Disruption by Homologous Recombination Assays Arabidopsis RNA
  • 6. Arabidopsis thaliana: • model plant system • defined gravitropic response • genome sequence complete • targeted gene knock-outs inefficient
  • 7. Physcomitrella patens : • gene knockout efficiencies > 90% via homologous recombination • defined gravitropic response • more closely related to dicots than monocots • similar DNA usage • used to determine cellular function of an Arabidopsis gene
  • 8. Basic Architecture for Plant Functional Genomics DNA Microarrays Space Environmental Condition Test Plant RNA
  • 9. Microarray Technology A Flexible Architecture for Plant Functional Genomics in Space Environments • temporal and spatial gene expression • Affymetrix Arabidopsis gene chips with over 8200 genes • provides information on gene involvement in a process or pathway
  • 10. Basic Architecture for Plant Functional Genomics DNA Microarrays Gene Isolation Space Environmental Condition Test Plant RNA
  • 11. Data Mining: Plant Genome Sequence Databases
  • 12. Moss EST Sequence Databases The Physcomitrella EST Program University of Leeds, UK/ Washington University, St. Louis, MO Goal: 30,000 EST sequences To Date: 14,410 moss EST sequences on GenBank Physcomitrella Genomics Program University of Freiburg/BASF To Date: 120,000 EST sequences representing 22,000 different genes
  • 13. Basic Architecture for Plant Functional Genomics Space Environmental Condition Test Plant RNA DNA Microarrays Gene Isolation Gene Disruption
  • 14. Functional Genomics Gene function - analysis of gene malfunction Conventional Approaches: • manipulate the level of gene expression • block the expression of a gene Problems: • non-directed integration of transgenes • positional effects • gene silencing due to co-suppression • incorrect spatial and temporal expression
  • 15. Targeted Gene Knock-out through Homologous Recombination moss genome plasmid bc moss genome moss genome p a b c b c d plasmid a b c d p
  • 16. Regeneration following transformation of protoplasts No selection Antibiotic selection
  • 17. Basic Architecture for Plant Functional Genomics Functional Analysis Space Environmental Condition bc p a b c d Gene Disruption Test Plant RNA DNA Microarrays Gene Isolation
  • 18. Transfer strips of mutagenized tissue and allow to regenerate gravity vector Transfer to unilateral Grow in darkness light light source agr ww r ptr
  • 20. QuickTime™ and a Cinepak decompressor are needed to see this picture.
  • 21. Feasibility of Antisense Knockouts: Can we get the oligos in? Untransformed moss protoplasts with no fluorescein-tagged oligo Untransformed moss protoplasts with fluorescein-tagged oligo Moss protoplasts transformed with fluorescien-tagged oligo
  • 22. Architecture Issues & Accomplishments Ö Test plant Arabidopsis thaliana as model system to identify genes involved in the gravitropic response Ö Optimize sample preparation for differential expression analysis Ö Affymetrix Microarray analysis Ö Identify genes whose expression increases Arabidopsis Arabidopsis RNA DNA Microarrays Arabidopsis Database
  • 23. Architecture Issues & Accomplishments Ö Establish Physcomitrella patens model system to determine function of genes Ö propagation and maintenance Ö protoplast isolation, transformation, and regeneration ÖCollaborative agreements with two sources for moss gene databases ÖAssemble molecular tools for gene knock-outs Ö cDNA and genomic libraries Ö two types of vectors Moss System Moss Database Gene Disruption
  • 24. What’s Next? Near Future: Ø Increase repetitions for microarray analysis to confirm differential gene expression Ø Construct replacement and knock-out vectors using available genomic and cDNA sequences Ø Generate transformed moss and score for phenotype
  • 25. The Future: 2002-2020 Ø Introduce additional environmental conditions into architecture Ø space-flown plant material Ø Expand collaborations with Affymetrix and AVI Biopharma to develop remote technologies Ø Adapt architecture to accommodate additional plant systems as data and technologies evolve Ø Work with engineers to optimize architecture for space flight/habitat