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(TILLING) FOR COTTON FUNCTIONAL GENOMICS
AND BIOINFORMATICS”



                          Aqsa Hafeez Khan.
                          Roll No:8798
                          MS Bioinformatics
THE AUTHORS


 Elizabeth        A. Greene
   Currently working in bioinformatics field at the Fred Hutchinson
    Cancer Research Centre in Seattle Washington.

   Luca Comai
   Provided space for growing plants used in experiments carried out
    for this paper.
AIM OF THE PAPER


   To introduce a new technique useful for creating an allelic series of gene
    disruption/knockout to the scientific community.

   Raising interest in the technique to generate new ideas for improvement
    of TILLING, and expand TILLING to other organisms.

   Provide insight into possible uses for TILLING, such as genetic
    modification of crops.
TILLING OVERVIEW

  Mutagenesis
    First you need to have a mutagenized population
     from which to begin the process.

    Typically, you want to have a rate of one mutation
     per 300,000 bp when creating your population.

    EMS is the mutagen used most often.
TILLING OVERVIEW

 Mutagenesis
 Most important step because if you don’t have a
  good population to begin with, the rest of the
  procedure is a waste
 50% of mutations are silent

 50% of mutations are not silent
General TILLING Technique

   The general procedure is as follows:


   A population is mutagenized with EMS (or another mutagen), and
    allowed to grow up and produce progeny.


   DNA is isolated from the progeny of the mutagenized individuals.


   Then the DNA samples are pooled to reduce the number of PCR
    reactions necessary for the detection of a mutation.


   These PCR products are subsequently digested with Celery CEL 1.
MECHANISM OF TILLING
TILLING OVERVIEW
Gel Image
TILLING WITH BIOINFORMATICS
“www.proweb.org”
high Peak shows ideal place for
  mutations to caused



Moderate Peak shows average result
for mutations to caused




Low Peak shows bad place not
favorable for mutations.
RESULTS OF TILLING

 Allelic     Series Created

   Due to different mutations causing either
    truncations, single amino acid changes, etc, mutations
    affecting the protein of interest are varied.


   this allows for an allelic series which may cause differing
    phenotypes and allow for greater understanding of protein
    function than a single knockout could provide.
FUTURE OF TILLING
 Detection     of polymorphisms
       detection of mismatches can provide excellent
        detection of polymorphisms due to the
        mismatch of different alleles.

• Crop Improvement
        • Allelic series can cause change in protein
          function that could be beneficial

        • Not having addition of foreign DNA alleviates
          many worries for consumer groups
SUMMARY
• TILLING is an effective technique to use to
  gain insight into gene function.

• TILLING is adaptable to a high throughput
  environment.

• TILLING continues to evolve and improve
  as a technique.
TILLING is
done!!
ANY QUESTIONS?

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TILLING of cotton and BIOINFORMATICS

  • 1. (TILLING) FOR COTTON FUNCTIONAL GENOMICS AND BIOINFORMATICS” Aqsa Hafeez Khan. Roll No:8798 MS Bioinformatics
  • 2. THE AUTHORS  Elizabeth A. Greene  Currently working in bioinformatics field at the Fred Hutchinson Cancer Research Centre in Seattle Washington.  Luca Comai  Provided space for growing plants used in experiments carried out for this paper.
  • 3. AIM OF THE PAPER  To introduce a new technique useful for creating an allelic series of gene disruption/knockout to the scientific community.  Raising interest in the technique to generate new ideas for improvement of TILLING, and expand TILLING to other organisms.  Provide insight into possible uses for TILLING, such as genetic modification of crops.
  • 4. TILLING OVERVIEW  Mutagenesis  First you need to have a mutagenized population from which to begin the process.  Typically, you want to have a rate of one mutation per 300,000 bp when creating your population.  EMS is the mutagen used most often.
  • 5. TILLING OVERVIEW  Mutagenesis  Most important step because if you don’t have a good population to begin with, the rest of the procedure is a waste  50% of mutations are silent  50% of mutations are not silent
  • 6. General TILLING Technique  The general procedure is as follows:  A population is mutagenized with EMS (or another mutagen), and allowed to grow up and produce progeny.  DNA is isolated from the progeny of the mutagenized individuals.  Then the DNA samples are pooled to reduce the number of PCR reactions necessary for the detection of a mutation.  These PCR products are subsequently digested with Celery CEL 1.
  • 7.
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  • 28. high Peak shows ideal place for mutations to caused Moderate Peak shows average result for mutations to caused Low Peak shows bad place not favorable for mutations.
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  • 33.
  • 34.
  • 35. RESULTS OF TILLING  Allelic Series Created  Due to different mutations causing either truncations, single amino acid changes, etc, mutations affecting the protein of interest are varied.  this allows for an allelic series which may cause differing phenotypes and allow for greater understanding of protein function than a single knockout could provide.
  • 36. FUTURE OF TILLING  Detection of polymorphisms  detection of mismatches can provide excellent detection of polymorphisms due to the mismatch of different alleles. • Crop Improvement • Allelic series can cause change in protein function that could be beneficial • Not having addition of foreign DNA alleviates many worries for consumer groups
  • 37. SUMMARY • TILLING is an effective technique to use to gain insight into gene function. • TILLING is adaptable to a high throughput environment. • TILLING continues to evolve and improve as a technique.
  • 39.