Phylogenetic Reconstruction Flashcards

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1
Q

what do phylogenetic trees show?

A

evolutionary relationships among a group of organisms

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2
Q

what are sequence alignments?

A

the comparison of two or more DNA or protein sequences to each other - used to highlight similarity between sequences

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3
Q

what is alignment?

A

the procedure of writing two or more sequences in a way that maximises the indentical/similar characters placing in the same column by adding gap characters

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4
Q

what is FASTA?

A

the standard input format for alignment programs

x used for ambigous characters

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5
Q

how does FASTA output work?

A

gaps are represented by -
the order of sequences may be different in input and output
move sequences along until parts match up and give the bits that don’t match up a -
gaps score -1, matches 1

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6
Q

what is a gap penalty?

A

gaps tend to occur together so we use affine costs to make extending an already existing gap cheaper
costs more to open a gap than it does to extend one

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7
Q

what is multiple sequence alignment?

A

a grid of residues and gaps

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8
Q

what happens if theres residues in the same row?

A

theyre from the same sequence

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9
Q

what do residues in the same columns share?

A

some equivalence/similarity

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10
Q

what is progressive alignment?

A

construct multiple alignments by adding sequences in tree - circular

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11
Q

what is muscle iterative alignment?

A

the initial guide tree - its cheap but inaccurate

its a fast way of recalculating distances especially with large numbers of sequence/alignments

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12
Q

what is insertion bias?

A

when an insertion is penalised multiple times - and penalised more than deletion

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13
Q

what are some problems with alignments?

A

we can’t trust gappy regions

its just a good guess - some better than others

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14
Q

whats maximum parsiomony?

A

when the tree is scored on the minimum number of evolutionary changes it implies
we look for the most parsimous tree - the one that implies the smallest number of changes - all depends where organisms are placed

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15
Q

what is likelihood?

A

the probability of data, the biased type is our max likelihood estimate

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16
Q

what do we look for?

A

max parsimony and the tree that maximises likelihood

17
Q

what has sequence evolution done?

A

found rates of replacement of each nuclei

rates define the probabilities of all events over all times

18
Q

likelihood vs parsimony?

A

likelihood most accurate
parsimony doesn’t use all available info
advantage - allows well established stat methods
dis - computational cost

19
Q

what is bootstrapping?

A

sampling characteristics by randomly choosing vertical columns from aligned sequences to produce a new sequence alignment of same length

20
Q

why is bootstrapping used?

A

used to generate pool of plausible trees in max likelihood
simple way to acertain clade support
majority-rule consensus tree