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Science Quickly

Researchers Analyzed Folk Music like It Was DNA: They Found Parallels between Life and Art

Science Quickly

Scientific American

Science

4.31.4K Ratings

🗓️ 3 March 2022

⏱️ 10 minutes

🧾️ Download transcript

Summary

Using software designed to align DNA sequences, scientists cataloged the mutations that arose as folk songs evolved

Transcript

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0:00.0

This is Scientific Americans, 60-Second Science. I'm Karen Huckin.

0:08.0

You're probably familiar with the concept of evolution.

0:14.0

Living things evolved by accumulating genetic changes, which are then weeded out or preserved

0:20.0

through a process of natural selection. Well, it turns out, the same thing happens in music.

0:26.0

And by using the same software that's used to track mutations in genes,

0:30.0

researchers have mapped out the sorts of changes that shape the evolution of songs.

0:35.0

The findings appear in the journal Current Biology.

0:38.0

I've always loved music since I was a child.

0:41.0

Patrick Savage, an ethno-musicologist at KO University in Fujisawa, Japan.

0:46.0

I grew up singing English folk songs. My dad really likes folk music

0:50.0

and often has his friends come over and do jam sessions at home.

0:53.0

And then when I moved to Japan about 11 years ago, I started studying Japanese folk songs.

0:58.0

And I really, really like that repertoire too.

1:01.0

The style was very different from the music he grew up with.

1:04.0

It's like...

1:07.0

Yet the way the songs are learned by trying to imitate a recording or a teacher is pretty much the same.

1:19.0

So it kind of made sense to test these ideas about all these general evolutionary rules that we find in music,

1:24.0

especially in these folk songs, repertoire as I know, that we kind of parallel we find in genetics

1:29.0

and allow us to get a more sort of general unifying theory about music and evolution across different cultures.

1:35.0

At first, he and his colleagues hoped to tackle a huge reconstruction of the family tree of all folk music.

1:41.0

But kind of quickly realized that it would be quite challenging to do,

1:45.0

because when you do when you build these phylogenies, these family trees,

...

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