Download Jan 18

Document related concepts
no text concepts found
Transcript
BEGR 424 Molecular Biology
William Terzaghi
Spring, 2016
BEGR424- Resource and Policy Information
Instructor: Dr. William Terzaghi
Office: SLC 363/CSC228
Office hours: MWF 12:00-1:00, TR 1-2 or by appointment
Phone: (570) 408-4762
Email: [email protected]
BEGR424- Resource and Policy Information
Instructor: Dr. William Terzaghi
Office: SLC 363/CSC228
Office hours: MWF 12:00-1:00, TR 1-2 or by appointment
Phone: (570) 408-4762
Email: [email protected]
Course webpage:
http://staffweb.wilkes.edu/william.terzaghi/BEGR424.htm
l
General considerations
What do you hope to learn?
General considerations
What do you hope to learn?
Graduate courses
1. learning about current literature
General considerations
What do you hope to learn?
Graduate courses
1. learning about current literature
•
Learning how to give presentations
General considerations
What do you hope to learn?
Graduate courses
1. learning about current literature
2. Learning current techniques
General considerations
What do you hope to learn?
Graduate courses
1. learning about current literature
2. Learning current techniques
•
Using them!
Provide a genuine experience in using cell and molecular
biology to learn about a fundamental problem in biology.
Provide a genuine experience in using cell and molecular
biology to learn about a fundamental problem in biology.
• Rather than following a set series of lectures, study a
problem and see where it leads us.
Provide a genuine experience in using cell and molecular
biology to learn about a fundamental problem in biology.
• Rather than following a set series of lectures, study a
problem and see where it leads us.
• Lectures & presentations will relate to current status
Provide a genuine experience in using cell and molecular
biology to learn about a fundamental problem in biology.
• Rather than following a set series of lectures, study a
problem and see where it leads us.
• Lectures & presentations will relate to current status
• Some class time will be spent in lab & vice-versa
• we may need to come in at other times as well
1. Pick a problem
1. Pick a problem
2. Design some experiments
1. Pick a problem
2. Design some experiments
3. See where they lead us
1. Pick a problem
2. Design some experiments
3. See where they lead us
Grading?
Combination of papers and presentations
GRADING?
Combination of papers and presentations
•First presentation: 5 points
•Research presentation: 10 points
•Final presentation: 15 points
•Assignments: 5 points each
•Poster: 10 points
•Intermediate report 10 points
•Final report: 30 points
ALTERNATIVES
•Paper(s) instead of 1 or two presentations
•Research proposal instead of a presentation
•One or two exams?
1.Trying to find another way to remove oxalate
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
• Identifying best candidates
• Figuring out how to engineer them
• Add oxalate transporter?
• Add more/different oxalate altering enzymes?
• Target them to different locations?
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
• Membrane-bound single-domain iron-oxide crystals
made by magnetotic bacteria to help find correct pO2
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
• Membrane-bound single-domain iron-oxide crystals
made by magnetotic bacteria to help find correct pO2
• Can engineer Mms13-fusion proteins
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
• Making Crispr/CAS9 proteins
• Mutate/replace specific genes
• Bind specific DNA sequences
• Color code with fluorescent proteins
• Repress expression
• Make transcriptional activators by fusing with
activation domains
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
5. Studying sugar signaling
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
5. Studying sugar signaling
6. Bioremediation
• Atrazine
• Neonicotinoid pesticides
• Something else??
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
5. Studying sugar signaling
6. Bioremediation
7.Making plants/algae that bypass Rubisco to fix CO2
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
5. Studying sugar signaling
6. Bioremediation
7.Making plants/algae that bypass Rubisco to fix CO2
8.Making novel biofuels
• blue-green algae that generate electricity
• Plants/algae that make methane or hydrogen
• Biodiesel
• Other ideas???
Topics?
1.Trying to find another way to remove oxalate
2.Making a probiotic bacterium that removes oxalate
3.Engineering magnetosomes to express novel proteins
4. Studying ncRNA
5. Studying sugar signaling
6. Bioremediation
7.Making plants/algae that bypass Rubisco to fix CO2
8.Making novel biofuels
9.Making vectors for Dr. Harms
10.Something else?
Assignments?
1.identify a gene and design primers
2.presentation on new sequencing tech
3.designing a protocol to verify your clone
4.presentations on gene regulation
5.presentation on applying mol bio
Other work
1.draft of report on cloning & sequencing
2.poster for symposium
3.final gene report
4.draft of formal report
5.formal report
Genome Projects
Studying structure & function of genomes
Genome Projects
Studying structure & function of genomes
• Sequence first
Genome Projects
Studying structure & function of genomes
• Sequence first
• Then location and function of every part
Genome Projects
How much DNA is there?
SV40 has 5000 base pairs
E. coli has 5 x 106
Yeast has 2 x 107
Arabidopsis has 108
Rice has 5 x 108
Humans have 3 x 109
Soybeans have 3 x 109
Toads have 3 x 109
Salamanders have 8 x 1010
Lilies have 1011
Genome Projects
C-value paradox: DNA content/haploid genome varies widely
Genome Projects
C-value paradox: DNA content/haploid genome varies widely
Some phyla show little variation:
birds all have ~109 bp
Genome Projects
C-value paradox: DNA content/haploid genome varies widely
Some phyla show little variation:
birds all have ~109 bp
mammals all have ~ 3 x 109 bp
Genome Projects
C-value paradox: DNA content/haploid genome varies widely
Some phyla show little variation:
birds all have ~109 bp
mammals all have ~ 3 x 109 bp
Other phyla are all over:
insects and amphibians vary 100 x
Genome Projects
C-value paradox: DNA content/haploid genome varies widely
Some phyla show little variation:
birds all have ~109 bp
mammals all have ~ 3 x 109 bp
Other phyla are all over:
insects and amphibians vary 100 x
flowering plants vary 1000x
C-value paradox
One cause = variations in chromosome numbers and ploidy
2C chromosome numbers vary widely
Haplopappus has 2
C-value paradox
One cause = variations in chromosome numbers and ploidy
2C chromosome numbers vary widely
Haplopappus has 2
Arabidopsis has 10
C-value paradox
One cause = variations in chromosome numbers and ploidy
2C chromosome numbers vary widely
Haplopappus has 2
Arabidopsis has 10
Rice has 24
Humans have 46
Tobacco (hexaploid) has 72
Kiwifruit (octaploid) have 196
C-value paradox
Chromosome numbers vary
So does chromosome size!
C-value paradox
Chromosome numbers vary
So does chromosome size!
Reason = variation in amounts of repetitive DNA
C-value paradox
Chromosome numbers vary
So does chromosome size!
Reason = variation in amounts of repetitive DNA
first demonstrated using Cot curves
Cot curves
• denature (melt) DNA by heating
Cot curves
• denature (melt) DNA by heating
dissociates into two single strands
Cot curves
1.
denature (melt) DNA by heating
2. Cool DNA
Cot curves
1.
denature (melt) DNA by heating
2. Cool DNA: complementary strands find each other & anneal
Cot curves
1.
denature (melt) DNA by heating
2. Cool DNA: complementary strands find each other & anneal
•
hybridize
Cot curves
1.
denature (melt) DNA by heating
2. Cool DNA: complementary strands find each other & anneal
•
Hybridize: don't have to be the same strands
Cot curves
1. denature (melt) DNA by heating
2. Cool DNA: complementary strands find each other & anneal
• Hybridize: don't have to be the same strands
3. Rate depends on [complementary strands]
Cot curves
1) denature DNA
2) cool DNA
3) at intervals measure
[single-stranded DNA]
Cot curves
viruses & bacteria show simple curves
Cot is inversely proportional to genome size
Cot curves
eucaryotes show 3 step curves
Step 1 renatures rapidly: “highly repetitive”
Cot curves
eucaryotes show 3 step curves
Step 1 renatures rapidly: “highly repetitive”
Step 2 is intermediate: “moderately repetitive”
Cot curves
eucaryotes show 3 step curves
Step 1 renatures rapidly: “highly repetitive”
Step 2 is intermediate: “moderately repetitive”
Step 3 is ”unique"