Experimental genome evolution Flashcards

1
Q

early models of evolution

A

biometricians (measure stuff), mendelians (stuff has discrete traits)

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2
Q

infetissimal model

A

reconcillation of mendelian vs continuous traits- if you have enough alleles controlling stuff you get a normal distribution

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3
Q

fisher’s geometrical model of adaptation

A

smaller mutations are more likely to be beneficial- less risk of ‘overshooting’ optimal phenotype

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4
Q

methods for studying genomics of adaptations

A

genome comparisons (dN/dS)
ecological genomics- using examples of ecological adaptation and tracing back to genetics
experimental evolution

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5
Q

fisher-muller model

A

sexual reproduction allows beneficial alleles to combine, and deleterious alleles to not add up - recombination, rather than competition

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6
Q

long term experimental evolution study- number of generations

A

over 70,000 since 1988

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7
Q

non-coding vs coding - dynamics of evolution

A

mutations tail off less in non-coding regions, adaptation seems to happen then stop for non-coding

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8
Q

mutation bias

A

idea of ‘mutational hotspots’- points where lots of mutation happens, points where much less happens

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9
Q

population sequencing- why is it useful?

A

allows much better tracking of allele frequency over time- see something which looks like fisher-muller

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10
Q

what is hitch-hiking

A

neutral mutation moving through generations alongside a beneficial mutation

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11
Q

ruby in the rubbish

A

beneficial mutations in low fitness background- recombination helps these mutations separate themselves out from worse alleles

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12
Q

importance of enzymes

A

‘template’ for innovation- dynamic etc

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13
Q

example of regulatory re-writing

A

in flagella evolution- can change which genes regulate it, when the original regulator is experimentally mutated

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14
Q

fastest vs slowest mjutations to spread

A

gene regulatory responses spread very fast, point mutations are much slower (easy to ‘miss’)

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15
Q

importance of gene duplication

A

removes the cost of messing with genes, as there is a backup present

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16
Q

sub-functionalisation

A

multi-functional gene gets split up after a duplication into narrower functional roles

17
Q

HGT costs

A

biosynthetic burden
toxic interactions with existing genes
exposure to competetors or phage for it to happen at all, inherent issue