Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo


Unsupported browser: Your browser does not meet modern web standards. See how it scores »

{ action.text }

The ocean hosts a stunningly–and surprisingly–diverse menagerie of microorganisms, according to a massive genetic study published today. The findings come from genomics pioneer Craig Venter’s expedition to circle the world by yacht, collecting and analyzing marine organisms along the way. The unexpected level of diversity suggests that despite the nearly 200 organisms that have been sequenced to date, researchers have just begun to scratch the surface of the earth’s genetic repertoire.

“We have not understood much about our own planet and our own environment,” Venter told Technology Review from his boat, the Sorcerer II, currently in the Sea of Cortez, in Mexico. “We’ve been missing as much as 99 percent of the life forms and biology out there.” He says the genetic sequences generated by the project will have a broad impact, from helping scientists understand global carbon cycles to identifying possible life on Mars.

Microorganisms make up the bulk of life on Earth, playing a major role in carbon cycling and other global energy cycles. Yet because only about 1 percent of the organisms can be grown in a lab, identifying and understanding these microscopic creatures is difficult. Now, ever-improving gene-sequencing methods developed over the past few years offer microbiologists a new tool with which to study the other 99 percent. Scientists can extract the genetic material from a drop of seawater and then sequence that DNA, deriving genomic clues into all the organisms living in that environment.

After a successful pilot study of the Sargasso Sea in 2003, Venter embarked on a much longer expedition, following the route of the British ship the Challenger, a research voyage that catalogued 5,000 new marine species in the late 1800s. The crew traveled nearly 6,000 miles aboard Venter’s yacht, collecting samples of surface water every 200 miles.

The first set of results, published this week in three papers in the journal PLoS Biology, revealed six million new proteins, doubling the number of known protein sequences. “Everywhere we sampled, we found new proteins,” says Venter.

Researchers focused largely on analyzing new protein-coding sequences, rather than on identifying specific microorganisms, because the variety of DNA made it difficult to assemble into single genomes. (DNA sequences generated from a drop of seawater contain fragments from the genomes of many different microorganisms. Scientists liken this to trying to put together a puzzle from a box containing a few pieces from a thousand different puzzles.)

This new collection of proteins should shed light on how proteins evolved, and perhaps even hint at the genetics of our earliest ancestral organisms. “With a diverse collection of proteins, you can build a phylogenetic tree and try to infer function and how it evolved,” says Shibu Yooseph, a scientist at the J. Craig Venter Institute, in Rockville, MD, and the lead author of one of the PLoS Biology papers. “For every family we’ve looked at, both the number and diversity of new proteins was really unexpected.”

2 comments. Share your thoughts »

Credit: The Venter Institute

Tagged: Biomedicine, genome, genomics, proteins, ocean

Reprints and Permissions | Send feedback to the editor

From the Archives


Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me