key area 1.8 - genomic sequencing Flashcards

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1
Q

genomic sequencing

A
  • determining the order of nucleotide bases in a section of DNA
  • can be determined for individual genes or entire genomes
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2
Q

bioinformatics

A
  • to compare sequence data, computers and use of statistical packages are required
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3
Q

phylogenetic

A
  • the study of evolutionary relatedness amongst groups of organisms using sequence data
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4
Q

categories of organism that have had genome sequenced

A
  • disease carrying
  • pests
  • model organism for research
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5
Q

divergence

A
  • separation of two groups in a phylogenetic tree when their genomes acquire mutations and they become different from one another
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6
Q

conserved

A
  • DNA sequences found to be very similar in the genomes of two organisms being compared
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7
Q

model organism

A
  • species important for research as it possess genes equivalent to human genes responsible for inherited disorders
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8
Q

molecular clock

A
  • molecular clocks measure the number of mutations that accumulate in a DNA sequences found overtime using sequence data
  • information used to date back when organisms originated and diverged from one another
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9
Q

problem with molecular clocks

A
  • assumes mutation rate is constant so is less accurate when dating back further in time
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10
Q

phylogenetic tree

A
  • branching diagram showing evolutionary relationships between groups of organisms based on sequence data and fossil evidence
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11
Q

domains

A
  • bacteria
  • archaea (prokaryotes living in extreme conditions)
  • eukaryotes
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12
Q

events in evolution of life

A

from most recent to longest ago :
- land plants
- vertebrates
- animals
- multicellular organisms
- eukaryotic cells
- first organisms capable of photosynthesis
- last universal ancestor
- cells (similar to prokaryotes)
- life on earth

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13
Q

pharmacogenetics

A
  • study of genomes related to personalised medicine
  • customising medical treatment to suit an individuals exact metabolic requirements
  • advantages : increase drug efficiency, reduces side effects
  • disadvantages : data may get into wrong hands eg life insurance companies (won’t provide due to potential chronic diseases) - genetic discrimination
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