evolution of protein function Flashcards

1
Q

sequence similarity networks

A
  • use of phylogenetic relationships to interpret function
  • summarise relationships between proteins
  • blast info creates dot for each protein
    • link dots if score greater than threshold
    • dot colour indicates function
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2
Q

protein families

A
  • family expansion and subfamily identification possible in large phylogenies
  • some residues strongly associated with 1 binding site in a family and not another
    • M13 peptidases
  • expose different family members to different ligands
    • classify subfamilies by ligand interactions and specificity-determining residues
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3
Q

M13 peptidases

A
  • 2 binding sites
    • S1’ and S2’
    • require different residues
  • analyse residue characteristics
    • S1’ hydrophobic
    • S2’ polar/charged
  • use to classify subfamily
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4
Q

specificity profiles

A
  • show specificity at each position of a binding domain
    • e.g. PDZ domain
  • can study evolution of function
  • higher column = increased binding
    • small column = little binding
    • no letter = no binding at that position
  • single letter indicates only that letter present and binding
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5
Q

profile clusters

A
  • cluster based on similarity
  • create objective classification system
    • not the same as phylogeny
  • corresponds well to binding classes
    • e.g. PDZ domains - highly conserved specificity profiles
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6
Q

ortholog vs paralog

A
  • ortholog = related via speciation
    • similar function, especially if an essential function
    • strong selection pressure to retain function
  • paralog = related via gene duplication
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7
Q

paralogs

A
  • indicate a gene duplication becomin fixed in a populaiton
  • indicates selection pressure to retain both paralogs
    • assuming a cost to maintain gene in the genome
  • cna mutate and adopt novel functions
    • multiple copies of essential gene
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8
Q

glucose transporter genes

A
  • s. cerevisiae
    • artifical selection pressure from humans
    • duplication of glucose transporter genes
  • c. albicans
    • exploits host glucose
    • many paralogs
    • some transporters similar to humans
      • immune evasion
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9
Q

fate of paralogs

A
  • maintain original function
    • increase dosage
  • subfunctionalisation
    • more specialised function
    • division of ancestral function
  • neofunctionalisation
    • evolve a new function
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10
Q

tree reconciliation

A
  • labelling internal nodes of trees as duplication or speciation
  • need to understand context
    • can’t assign by looking at node on its own
  • important for developing correct phylogeny
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11
Q

tree reconciliation

parsimony

A
  • maximally parsimonious
  • finds a solution that minimises the number of duplications and losses by node labelling
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12
Q

bootstrap support values

A
  • at each node
  • indication of degree of confidence in separation of parts of a tree
  • some branches more reliable than others
  • investigate weaker branches
    • collapse and rearrange to find a better solution with smaller cost
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13
Q

cost of a tree

A
  • involves duplication and losses
  • genes easily lsot from genomes
    • smaller cost
  • assuming cost of keeping gene in genome:
    • duplication is costly
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14
Q

ancestral states

A
  • can label gene tree nodes with names of corresponding ancestral species using reconciled phylogenies
  • can infer attributes of extinct ancestors
  • infer most likely ancestral protein sequence using maximum likelihood
  • synthesise protein e.g. rhodopsin and observe properties
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