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Pathways between Genes and Behaviour

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Title: Pathways between Genes and Behaviour


1
Pathways between Genes and Behaviour
2
Functional Genomics
  • Understanding the pathways between genes and
    behaviours (i.e., mechanisms of genes affecting
    behaviour)
  • Levels of analysis

RNA Transcriptome
Protein Proteome
Brain Neurome
Mind Behaviour Phenome
DNA Genome
3
Levels of Analysis
  • Functional genomics
  • Bottom up
  • Start at level of cells, molecular biology
  • Work up to more complex systems
  • Behavioural genomics
  • Top down
  • Identify relevant/interesting behaviour
  • Reductionism towards genes
  • Between level relationships correlational until
    proven causal
  • E.g., behaviour can change brain structure, just
    as structural changes can alter behaviour

4
Transcriptome
  • Gene expression throughout the genome
  • Gene expression beginning point for gene to
    behaviour pathway
  • Housekeeping genes
  • Expressed at steady rate most cells, most times
  • Special purpose genes
  • Only expressed when needed, at particular
    developmental points, when activated by other
    genes or environmental stimulus

5
Factors on Expression
  • Altering rate of transcription initiation
  • Alteration of RNA transcript
  • Passage of mRNA out of nucleus
  • Protection/degradation of RNA transcript in
    cytoplasm
  • Rate of translation
  • Posttranslational modification of protein

6
Gene Expression Profiling
  • DNA permanent
  • RNA ephemeral and specific
  • RNA microarrays
  • 1000s of genes simultaneously monitored
  • Study effects of treatments, diseases,
    developmental stages on gene expression
  • Snapshots of gene expression throughout genome

7
Brain Mapping
  • Can create an atlas of localized patterns of gene
    expression
  • Need brain tissue, so limited in humans and
    issues of pathology
  • Mouse brain atlas
  • Such maps are functional, because genes only
    detected if expressed

8
Genetical Genomics
  • Emphasizes links between genome and transcriptome
  • Treats gene expression as phenotypic trait
  • Aim is to find expression QTLs (eQTLs) associated
    with gene expression
  • Primarily with rodent models

9
Gene Expression Environment
  • Individual differences in gene expression
  • Not necessarily highly heritable
  • Gene expression responds to intra- and
    extra-cellular environmental variation
  • Environmental influence at transcript level quite
    significant
  • Consider gene expression as a phenotype
  • Epigenesis gene-gene effects and
    environment-gene effects

10
The Proteome
  • Refers to entire compliment of proteins
  • Complexity increase from transcriptome
  • Many more proteins than genes
  • Post-translation from mRNA, amino acid sequences
    can be modified, changing their function
  • Protein function is affected by other proteins
    they work in complexes

11
Analysis
  • Like transcriptome, consider proteome as a
    phenotype
  • Hence, gene and environmental interaction
  • Useful, given high individual differences in
    protein function in different tissues
  • Protein trait differences in quantity of protein
    in different tissues
  • Protein microarrays
  • Antibodies detect specific proteins
  • Limited capacity (100s of proteins on array)

12
Early Protein Microarray Findings
  • Most proteins show linkage to several regions
  • Chromosomal positions often differed from those
    of the genes that code for the proteins
  • Suggests multiple genes affect individual protein
    traits

13
The Neurome
  • Another step up in complexity
  • Trillions of synapses vs. only billions of DNA
    base pairs
  • 100s of neurotransmitters
  • Brain phenotypes called endophenotypes

14
Circadian Rhythm
  • Approximately daily periodicity
  • Endogenously generated, although modifiable by
    external cues
  • From prokaryotic cyanobacteria to humans

15
Period
  • Konopka Benzer (1971)
  • Fruit fly
  • Three mutant lines of flies showed shorter,
    longer, and no circadian rhythm
  • All mutations mapped to same gene, named period
  • Conservative gene
  • Responsible for Familial Advanced Sleep Phase
    Syndrome in humans
  • Not the only gene involved interactions between
    many genes

16
PER Genes
  • Per1, Per2, Per3
  • Members of period family of genes
  • Expressed in suprachiasmatic nucleus
  • Bilateral brain region, located in anterior
    hypothalamus controls circadian rhythms
  • E.g., rats with SCN damage have no circadian
    rhythm they sleep the same amount, but
    polyphasically for random lengths

17
Mice
  • Per2 and Bmal1 work in opposition
  • Per2 peaking for sleep
  • Bmal1 peaking for wakefulness

18
Humans
  • Per2 and Bmal1 work together
  • Both peak around the same time

19
Lark vs. Owl
  • Genes influencing morning or night person
  • Per2 produces high RNA levels around 4AM
    associated with sleeping
  • Food influences gene expression Per2 has small
    peak after food intake (post-lunch slump)
  • REV-ERB works in opposition to Per2, peaking its
    expression around 4PM associated with
    wakefulness
  • Recent research looking to see if environmental
    factors (e.g., shift work) can permanently alter
    gene expression

20
Pleiotropy
  • Clock genes have many functions
  • Period found to have role in long term memory
  • Per genes may be involved in influencing effect
    and abuse of drugs like cocaine
  • Disruption of genes linked to bipolar disorder,
    cardiovascular disease, effects of drug toxicity

21
Learning and Memory
  • Short-term memory
  • Long-term memory
  • Long-term potentiation
  • Long-term synaptic changes

22
Drosophila
  • Dunce and rutabaga first learning and memory
    mutants
  • Disrupts STM, but LTM works fine
  • Encode components of an intracellular signaling
    pathway involving cAMP, protein kinase A, and a
    transcription factor (CREB)

lten.wikipedia.org/wiki/ImageDrosophila_ melanogas
ter_-_side_28aka29.jpggt
23
Mouse
  • Targeted mutations
  • Hippocampus
  • Knocked out ?-CaMKII
  • Increased difficulty learning spatial tasks
  • Well over 20 genes known to affect learning and
    memory in mice
  • Change strength of synaptic connections

lten.wikipedia.org/wiki/ImageMorrisWaterMaze.jpggt
24
Long-Term Potentiation
  • Genes drive long-term potentiation
  • But not an easy mechanism to understand
  • 1000s of protein components involved
  • Numerous systems
  • Glutamate receptor, NMDA receptor, CREB, etc.,
    etc., etc.
  • None of the fly or mouse genes and signaling
    molecules involved are exclusive to learning
    processes
  • Many necessary for basic cell functions
  • Is memory being regulated by modulating
    background function of cells involved in memory
    encoding?
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