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Scientists Use MicroRNAs To Track Evolutionary History For First Time

Date:
September 10, 2009
Source:
Yale University
Summary:
Scientists have used microRNA data to investigate the evolutionary relationships of annelids, which include earthworms, leeches and bristle worms, to show that this large animal group evolved as a single, unique evolutionary branch. Their work represents the first time that microRNAs have been used to study the evolutionary relationships between organisms.
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The large group of segmented worms known as annelids, which includes earthworms, leeches and bristle worms, evolved millions of years ago and can be found in every corner of the world. Although annelids are one of the most abundant animal groups on the planet, scientists have struggled to understand how the different species of this biologically diverse group relate to each other in terms of their evolutionary history.

Now a team of scientists from Yale University and Dartmouth College has used a groundbreaking method to untangle some of that history.

The researchers used a novel source of data—the presence and absence of different microRNA genes—to investigate the evolutionary relationships of annelids. MicroRNAs are small, non-coding genes that have long been known to play an important role in developmental biology but which have never before been used to study the evolutionary relationships between organisms. The team’s findings appear online September 9 in the journal Proceedings of the Royal Society B.

“These genes are excellent evolutionary markers,” said lead author Erik Sperling, a graduate student in Yale’s Department of Geology and Geophysics. “Once a microRNA gene is fixed in a species, it is very rarely lost. As such, organisms with similar microRNAs are closely related to one another.”

Building on previous work done at Kevin Peterson’s lab at Dartmouth, which demonstrated the potential of using microRNAs to decipher evolutionary history, the team applied a form of high-throughput sequencing technology at the Yale Center for Genomics and Proteomics that uses a novel strategy to reveal the microRNA complement of an organism.

They discovered that certain groups of organisms previously shown by molecular analyses to lie within the annelid family, such as mollusks and peanut worms, could not have evolved from the same branch of the evolutionary tree as the rest of the annelids. Instead, the team’s results demonstrate that annelids represent a unique evolutionary branch separate from these other organisms. They also show that the ancestral annelid more closely resembled a kind of bristle worm that lived on the seafloor, as opposed to the classical belief that it was a kind of burrowing worm that lived in the ocean mud.

The team’s microRNA sequencing results also agree with the order in which the different annelids and their relatives appear in the fossil record—something that previous hypotheses about their relationships had failed to do, said co-author Derek Briggs, Yale’s Frederick William Beinecke Professor of Geology and Geophysics.

“This study is an elegant example of how new methods can reconcile results from molecular sequencing of living animals with information from the fossil record,” he said.

Authors of the paper include Erik Sperling, Jakob Vinther and Derek Briggs (Yale University), Vanessa Moy and Kevin Peterson (Dartmouth College), Benjamin Wheeler (North Carolina State University), and Marie Sémon (University of Lyon).


Story Source:

Materials provided by Yale University. Note: Content may be edited for style and length.


Cite This Page:

Yale University. "Scientists Use MicroRNAs To Track Evolutionary History For First Time." ScienceDaily. ScienceDaily, 10 September 2009. <www.sciencedaily.com/releases/2009/09/090909122108.htm>.
Yale University. (2009, September 10). Scientists Use MicroRNAs To Track Evolutionary History For First Time. ScienceDaily. Retrieved November 22, 2024 from www.sciencedaily.com/releases/2009/09/090909122108.htm
Yale University. "Scientists Use MicroRNAs To Track Evolutionary History For First Time." ScienceDaily. www.sciencedaily.com/releases/2009/09/090909122108.htm (accessed November 22, 2024).

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