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Transcript Analysis Under Drought Stress in Tall Fescue

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Title: Transcript Analysis Under Drought Stress in Tall Fescue


1
Transcript Analysis Under Drought Stress in Tall
Fescue
  • Aaron Hightower
  • Southeastern Oklahoma State University
  • Noble Summer Scholar 2007
  • Saha Lab

2
Outline
Introduction
Materials Methods
Results Discussion
Summary
Future Work
3
Importance
  • Tall fescue is a cool season perennial grass
  • 14 million hectares in United States
  • Cattle feed
  • Conservation
  • Lawn and turf
  • Drought is the single-most influential constraint
    on crop growth.
  • Significantly decreases crop
  • Production
  • Persistence

4
Drought Tolerance Mechanism
  • Drought tolerance is a quantitative trait
    controlled by many genes and environmental
    factors. Tolerance mechanism relate to
  • Specific protein production
  • Increased water retention
  • What controls these responses is the genetic
    reaction to conditions which code for up- and
    down-regulation of genes in order to increase
    survival.
  • Transcript analysis over a period of drought
    stress is one way to observe the differentiation
    of expressed phenotypes due to genetic
    adjustments.

5
Objectives
  • To identify differentially expressed transcripts
    due to drought stress.
  • Compare phenotypic expression between already
    identified susceptible and tolerant genotypes.
  • Physiological observations and comparison between
    genotypes.
  • Identify the utility of cDNA-AFLP in Tall Fescue.

6
Outline
Introduction
Materials Methods
Results Discussion
Summary
Future Work
7
Plant Material
  • The two Tall Fescue genotypes analyzed were
    348(tolerant) and 947(susceptible).
  • These were subjected to drought for two weeks.
  • June 3 June 16

Day 14
348
947
Day 1
947
348
8
Sample Harvest
  • Plant Material cont.
  • Tissues from both plants harvested daily for two
    weeks (June 3- June 16).
  • Two samples
  • Actively growing new shoots for RNA extraction.
  • Leaf samples for Relative Water Content and
    Osmolality measurements.

9
Day 1
Day 7
Day 14
10
Measurements
  • Relative Water Content (RWC)
  • Cut four pieces from leaf samples (0.5-1g)
  • Weighing of samples
  • Fresh sample
  • Immediately after harvest
  • Turgid sample
  • Soaked overnight in water
  • Dry sample
  • Dried overnight in vacuum oven at 60oC, 25Hg
  • (Fresh wt. Dry wt.)
  • (Turgid wt.- Dry wt.)

x 100 RWC
11
Osmolality
  • Sample Storage Preparation
  • Leaf sample, after RWC samples taken, re-watered
  • 3 mL of water into ziploc with leaf samples
  • Soaked overnight
  • Poured out excess water
  • Put into -80oC

12
Osmolality Measurement
Sample discs
  • Vapor Pressure Osmometer
  • Sample Prep
  • Thawed leaf samples and blotted to dryness
  • Put into syringe
  • Sap extracted with plunger
  • 10uL needed for VPO
  • Placed sample on disc already on detector
  • Closed and run lever locked to run
  • Reading in mmol

Run lever
Sample Chamber
13
RNA Extraction
  • The RNA samples were collected into 2mL
    microcentrifuge tubes.
  • Two steel beads were placed in tubes as well
  • Used for grinding tissue
  • Samples kept frozen in -80oC and when handled
    used liquid nitrogen to keep frozen
  • Tubes put into shaker to grind up tissue
  • RNA extracted using TRI Reagent (Molecular
    Research Center, Cincinnati, OH) according to
    manufacturers protocol.

14
cDNA-AFLP Protocol
  • Synthesize ss cDNA by Reverse Transcription
  • Synthesize ds cDNA
  • Quantify ds cDNA concentration
  • Nano Drop 3000
  • Restriction Digestion
  • Using EcoRI and MseI enzymes
  • Ligation of Adaptors
  • Pre-amplification
  • Less specifically amplified fragments
  • Selective Amplification
  • More specifically amplified fragments

15
cDNA-AFLP Protocol cont.
  • Performed cDNA AFLP on samples 348 and 947 for
    days 1, 7, and 14.
  • Selective Amplification Eight different primer
    combinations used

16
Primer Screening Genomic DNA
  • Multiple primers were screened using the genomic
    DNA from both 348 and 947.
  • Checked success by gel electrophoresis on 2
    Agarose with TAE buffer.
  • For working primers, repeated with cDNA.
  • Ran undiluted (1478.3ng/uL), 100ng/uL, and
    10ng/uL cDNA with working primer STS 303.
  • The undiluted and 100ng/uL showed, 10ng/uL did
    not.

17
Primer Screening cDNA
  • Working primers
  • Ran with cDNA (100-300ng/uL)
  • Two reactions prepared, for 20 and 40 cycles for
    optimization.
  • Verified by running on 2 Agarose with TAE
    buffer.
  • 20 cycles faint, 40 cycles optimal.
  • The primers which showed interesting
    characteristics were re-ran with primers to
    verify the results

18
(No Transcript)
19
Outline
Introduction
Materials Methods
Results Discussion
Summary
Future Work
20
Relative Water Content during two week water
stress
  • Two genotypes did not differ significantly on
    RWC.
  • Stable period, followed by sharp decline, then
    stabilized.
  • The mechanism for drought tolerance in these
    genotypes is not a function of water content, but
    a different mechanism drives them.

21
Humidity Temp.
22
Primer Screening
348 947
348
947
23
cDNA-AFLP Gel
348 D1 947 D1 348 D7 947 D7 348 D14 947 D14
24
Polyacrylamide Score
25
Outline
Introduction
Materials Methods
Results Discussion
Summary
Future Work
26
Conclusion
  • The Osmotic Potential further supports that
    previous studies have appropriately classified
    Tall Fescue 348 and 947 as drought tolerant and
    susceptible genotypes, respectively.
  • There exists a correlation between humidity,
    temperature, and the Osmotic Potential of a
    plant.

27
Conclusion cont.
  • The observations have shown that drought narrowly
    affects the plants Relative Water Content during
    the first five days, but drastically affects it
    for subsequent days.
  • The cDNA-AFLP has identified 73 up- and 8
    down-regulated fragments, which are good
    candidates for drought related gene studies.

28
Outline
Introduction
Materials Methods
Results Discussion
Summary
Future Work
29
Future Studies
  • Further analysis of Osmotic Potential with regard
    to humidity and temperature and their effects
    upon Osmotic adjustment.
  • Sequencing and identification of Differentially
    Expressed Transcripts.
  • Verify the utility of the differentially
    expressed genes for drought screening.

30
Acknowledgements Thanks
  • Steve Rhines
  • Emily Edwards
  • Malay Saha
  • Entire Saha Lab
  • Francis Kirigwi
  • Project supervisor
  • Fellow Noble Scholars
  • The Noble Foundation
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