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Origin: A Genetic History of the Americas

by Jennifer Raff

by Jennifer Raff

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(9).<br />

My libraries were finished. Over <strong>the</strong> next few days, I verified that <strong>the</strong><br />

library preparation was successful. Initial sequencing <strong>of</strong> a small number <strong>of</strong><br />

<strong>the</strong> reads from <strong>the</strong> library showed that <strong>the</strong> ancient human DNA molecules<br />

made up about 10% <strong>of</strong> <strong>the</strong> total DNA in <strong>the</strong> sample, enough to let me<br />

sequence <strong>the</strong> entire genome. As soon as I received <strong>the</strong> data files from <strong>the</strong><br />

sequencing run, I gratefully passed <strong>the</strong>m along to a collaborator who<br />

specializes in analysis <strong>of</strong> ancient genomes and tried not to be too impatient<br />

as I waited for <strong>the</strong> results <strong>of</strong> an analysis <strong>of</strong>, <strong>the</strong> first genome to ever be<br />

sequenced from this region <strong>of</strong> <strong>the</strong> <strong>Americas</strong>. I worried about many things:<br />

that <strong>the</strong> DNA wouldn’t produce a high-quality genome, that one <strong>of</strong> <strong>the</strong><br />

larger labs would scoop me (publish a result from this area before me), that<br />

I would misinterpret <strong>the</strong> results, and what <strong>the</strong> descendant community would<br />

think <strong>of</strong> <strong>the</strong>m. But worrying about things that I could not control got me<br />

nowhere, so I tried to push <strong>the</strong> project from my mind for a few weeks and<br />

let my collaborator work in peace.<br />

When <strong>the</strong> first ancient genomes began to be sequenced, computer<br />

programs had to be developed to distinguish between genuine ancient DNA<br />

fragments, those <strong>of</strong> modern contaminants, and <strong>the</strong> genomes <strong>of</strong><br />

microorganisms that are co-extracted from any sample. One major<br />

breakthrough was <strong>the</strong> realization that ancient DNA has characteristic<br />

damage patterns that distinguish it from contaminating modern DNA. ii That<br />

meant that by using a particular kind <strong>of</strong> program, one could estimate <strong>the</strong><br />

degree <strong>of</strong> modern DNA contamination and distinguish between damaged<br />

and undamaged reads.<br />

Additional methods were developed to match tiny ancient DNA<br />

fragments to a map <strong>of</strong> <strong>the</strong> complete human genome reference sequence.<br />

This allowed <strong>the</strong> book <strong>of</strong> a person’s genome to be assembled from <strong>the</strong><br />

millions <strong>of</strong> random sentence fragments that we recovered from <strong>the</strong>ir bones.<br />

The greater <strong>the</strong> depth <strong>of</strong> sequencing—<strong>the</strong> more times we had a word or<br />

sentence confirmed by multiple fragments—<strong>the</strong> more confident we could be<br />

in distinguishing between <strong>the</strong> true DNA sequence and damage.<br />

Computational geneticists invented new ways <strong>of</strong> comparing ancient<br />

genomes with o<strong>the</strong>r genomes from ancient and contemporary people and<br />

developed powerful tools for modeling population histories using <strong>the</strong>se new<br />

kinds <strong>of</strong> data. Now we could estimate changes in population size at

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