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11
Presentation to BGRI Technical Workshop, Session
12, August 22
Walter Messier, EG Chief Scientific Officer
© 2013. Evolutionary Genomics. All Rights Reserved
22
Thank you Charles Darwin: A description of
candidate wheat genes that may control wheat rust,
derived from an evolutionarily based approach
Goal: To identify possible gene candidates for control of
wheat stem rust Ug99.
Approach: Assess the genome of Triticum monococcum for
positively selected genes that may have recently evolved in
response to selection pressure from Ug99.
33
Our approach depends upon pairwise comparisons
of transcriptomes on a gene-by-gene basis using the
signature of positive selection as a screen.
Positive selection is here narrowly defined as
changes in protein sequence that have occurred as a
response to selective pressures, rather than simply
as a result of stochastic fixation of random amino
acid replacements. Positively selected changes give
rise to novel protein conformations and thus new
functions.
Previous Work
•  Our approach uses pairwise comparisons in a system where there appears to have
been a recent selective shift that occurred as a response to strong selective pressure
•  Cassava: candidate genes for resistance to cassava brown streak disease (CBSD)
using wild relatives of cassava
•  Soybean: we have validated genes for control of soybean cyst nematodes (SCN)
•  Candidates were validated in transgenic assays that demonstrate we can induce SCN
resistance in previously susceptible commercial soybean cultivars. We are negotiating
with a major agricultural company to license this genes for application in their
germplasm
•  Candidate yield genes being field tested by our rice seed partner
55
Positive selection can be detected in protein-coding
genes by pairwise comparisons of the ratios of
nonsynonymous nucleotide substitutions per
nonsynonymous site [Ka] to synonymous
substitutions per synonymous site [Ks])
6
Selected and Conserved Genes
•  Positively selected genes: Ka/Ks > 1
non-synonymous nucleotide changes (Ka)
exceed synonymous (Ks) nucleotide changes.
•  Conserved genes: Ka/Ks < 1
synonymous nucleotide changes (Ks) exceed
non-synonymous (Ka) nucleotide changes.
7
Molecular Evolution Analysis
Positively selected genes: Ka/Ks > 1
non-synonymous nucleotide changes per non-synonymous (Ka) exceed synonymous
(Ks) nucleotide changes per synonymous site.
Conserved genes: Ka/Ks < 1
synonymous nucleotide changes per synonymous site (Ks) exceed non-synonymous (Ka)
nucleotide changes per non-synonymous site.
Genome A Genome B
Align orthologs
Ka/Ks analysis Ka/Ks≤1, archive
99.9999 % of
comparisons
Ka/Ks>1 (positively selected)
Candidate genes
EG’s Adapted Traits Platform is a unique comparative bioinformatics
approach incorporating a molecular evolution algorithm (Ka/Ks) to
find positively selected genes.
Results
•  Analysis on-going: 3 positively selected genes have been
confirmed so far
•  Our first candidate appears to mediate drought/salinity tolerance
•  Bowman-Birk type trypsin inhibitor (Serpin 1)
•  Metallothionein type-2 protein (MT2)
8
Bowman-Birk type trypsin inhibitors
•  Serine protease inhibitors that block trypsin
•  Present in archaea, bacteria, fungi, animals, plants
•  Aka Serpin (Serine peptidase inhibitor)
•  Serpins found in cereal grains are ‘double-headed’ with 2 BBI domains
containing reactive loops/binding sites connected by a linker region
•  Expressed in wounded plant tissues and seeds
•  Mediate protease regulation, PCD, and plant pathogen defense
9
Serpin 1
● Overall, Serpin 1 shows conservation of the ‘double-headed’ structure seen in cereal
serpins, nonetheless, this protein shows the signature of strong positive selection
● Full length coding sequence Ka/Ks= 0.35
● Positive selection in Serpin 1 is localized in two regions that code for binding sites
● Ka/Ks in regions of positively selection = 1.7 - 2.1
● Conserved regions Ka/Ks = 0.0 – 0.34
● Leader Sequnce Ka/Ks = 0.89
© 2010 Evolutionary Genomics. All Rights Reserved
10
Serpin 1 Sequence Alignment
© 2010 Evolutionary Genomics. All Rights Reserved
11
Metallothioneins
•  Superfamily of short proteins, rich in cysteines
•  In many organisms, these proteins are metal-binders that mediate metal
uptake, transport and storage; this is less clear in plants
•  MTs may protect against metal toxicity; MTs may also function to protect
against oxidative stress. One recent study suggests that MTs in plants
might be involved in plant defense against some fungal species, at least in
citrus.
•  Metallothioneins can be upregulated by biotic or abiotic stress
Candidate MT2
● Plant metallothioneins: conserved primary protein structure (Cys-Xaa-Cys): two
cysteine-rich terminal domains, with more variation in the central linker domain
● No evidence of localization of positive selection in our candidate
● Full length coding sequence Ka/Ks= 2.0
● Short protein: 79 aa
● Located on wheat chromosome 3A
● Sequence variation within monococcum is 2% while sequence variation between
monococcum and turgidum is 5%
13
We are looking for partners
•  EG’s goal in this project was to identify potential gene candidates for wheat
stem rust resistance
•  We are looking for partners who have an interest in working with us to
validate these candidates
15
Thank you
Tepper Koga
Geoff Hirsch
Kari Koga
David Johnson
Ginny Orndorff
Steve Warnecke
Charles Darwin
We thank the Bill
and Melinda Gates
Foundation for
funding this work.

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Thank You Charles Darwin: A Description of Candidate Wheat Genes that may Control Wheat Rust, Derived from an Evolutionary-based Approach

  • 1. 11 Presentation to BGRI Technical Workshop, Session 12, August 22 Walter Messier, EG Chief Scientific Officer © 2013. Evolutionary Genomics. All Rights Reserved
  • 2. 22 Thank you Charles Darwin: A description of candidate wheat genes that may control wheat rust, derived from an evolutionarily based approach Goal: To identify possible gene candidates for control of wheat stem rust Ug99. Approach: Assess the genome of Triticum monococcum for positively selected genes that may have recently evolved in response to selection pressure from Ug99.
  • 3. 33 Our approach depends upon pairwise comparisons of transcriptomes on a gene-by-gene basis using the signature of positive selection as a screen. Positive selection is here narrowly defined as changes in protein sequence that have occurred as a response to selective pressures, rather than simply as a result of stochastic fixation of random amino acid replacements. Positively selected changes give rise to novel protein conformations and thus new functions.
  • 4. Previous Work •  Our approach uses pairwise comparisons in a system where there appears to have been a recent selective shift that occurred as a response to strong selective pressure •  Cassava: candidate genes for resistance to cassava brown streak disease (CBSD) using wild relatives of cassava •  Soybean: we have validated genes for control of soybean cyst nematodes (SCN) •  Candidates were validated in transgenic assays that demonstrate we can induce SCN resistance in previously susceptible commercial soybean cultivars. We are negotiating with a major agricultural company to license this genes for application in their germplasm •  Candidate yield genes being field tested by our rice seed partner
  • 5. 55 Positive selection can be detected in protein-coding genes by pairwise comparisons of the ratios of nonsynonymous nucleotide substitutions per nonsynonymous site [Ka] to synonymous substitutions per synonymous site [Ks])
  • 6. 6 Selected and Conserved Genes •  Positively selected genes: Ka/Ks > 1 non-synonymous nucleotide changes (Ka) exceed synonymous (Ks) nucleotide changes. •  Conserved genes: Ka/Ks < 1 synonymous nucleotide changes (Ks) exceed non-synonymous (Ka) nucleotide changes.
  • 7. 7 Molecular Evolution Analysis Positively selected genes: Ka/Ks > 1 non-synonymous nucleotide changes per non-synonymous (Ka) exceed synonymous (Ks) nucleotide changes per synonymous site. Conserved genes: Ka/Ks < 1 synonymous nucleotide changes per synonymous site (Ks) exceed non-synonymous (Ka) nucleotide changes per non-synonymous site. Genome A Genome B Align orthologs Ka/Ks analysis Ka/Ks≤1, archive 99.9999 % of comparisons Ka/Ks>1 (positively selected) Candidate genes EG’s Adapted Traits Platform is a unique comparative bioinformatics approach incorporating a molecular evolution algorithm (Ka/Ks) to find positively selected genes.
  • 8. Results •  Analysis on-going: 3 positively selected genes have been confirmed so far •  Our first candidate appears to mediate drought/salinity tolerance •  Bowman-Birk type trypsin inhibitor (Serpin 1) •  Metallothionein type-2 protein (MT2) 8
  • 9. Bowman-Birk type trypsin inhibitors •  Serine protease inhibitors that block trypsin •  Present in archaea, bacteria, fungi, animals, plants •  Aka Serpin (Serine peptidase inhibitor) •  Serpins found in cereal grains are ‘double-headed’ with 2 BBI domains containing reactive loops/binding sites connected by a linker region •  Expressed in wounded plant tissues and seeds •  Mediate protease regulation, PCD, and plant pathogen defense 9
  • 10. Serpin 1 ● Overall, Serpin 1 shows conservation of the ‘double-headed’ structure seen in cereal serpins, nonetheless, this protein shows the signature of strong positive selection ● Full length coding sequence Ka/Ks= 0.35 ● Positive selection in Serpin 1 is localized in two regions that code for binding sites ● Ka/Ks in regions of positively selection = 1.7 - 2.1 ● Conserved regions Ka/Ks = 0.0 – 0.34 ● Leader Sequnce Ka/Ks = 0.89 © 2010 Evolutionary Genomics. All Rights Reserved 10
  • 11. Serpin 1 Sequence Alignment © 2010 Evolutionary Genomics. All Rights Reserved 11
  • 12. Metallothioneins •  Superfamily of short proteins, rich in cysteines •  In many organisms, these proteins are metal-binders that mediate metal uptake, transport and storage; this is less clear in plants •  MTs may protect against metal toxicity; MTs may also function to protect against oxidative stress. One recent study suggests that MTs in plants might be involved in plant defense against some fungal species, at least in citrus. •  Metallothioneins can be upregulated by biotic or abiotic stress
  • 13. Candidate MT2 ● Plant metallothioneins: conserved primary protein structure (Cys-Xaa-Cys): two cysteine-rich terminal domains, with more variation in the central linker domain ● No evidence of localization of positive selection in our candidate ● Full length coding sequence Ka/Ks= 2.0 ● Short protein: 79 aa ● Located on wheat chromosome 3A ● Sequence variation within monococcum is 2% while sequence variation between monococcum and turgidum is 5% 13
  • 14. We are looking for partners •  EG’s goal in this project was to identify potential gene candidates for wheat stem rust resistance •  We are looking for partners who have an interest in working with us to validate these candidates
  • 15. 15 Thank you Tepper Koga Geoff Hirsch Kari Koga David Johnson Ginny Orndorff Steve Warnecke Charles Darwin We thank the Bill and Melinda Gates Foundation for funding this work.