Flu virus finally sequenced in its native form

The genome of the flu virus has been fully sequenced in its native RNA form for the first time. Previously, all influenza genomes — as well as those of other viruses that store their genetic material as RNA — had been determined by copying the molecule into DNA. The native flu genome was generated using ‘nanopore’ sequencing technology, which reads RNA strands as they stream through a tiny molecular channel.

Virus de la gripe

RNA is chemically similar to its better known cousin, DNA. In cellular organisms, it serves as an intermediary between DNA-encoded genes and proteins, and performs other tasks in the cell. But many viruses — including those behind polio, Ebola and the common cold — store their genetic information as RNA, rather than DNA. Barnes, head of the CDC’s influenza-genomics team, says that no one had sequenced the virus’s RNA genome before because it seemed nearly impossible. Previous methods for sequencing native RNA strands involved degrading one chemical base, or letter, at a time, and these techniques have changed little since their invention in the late 1970s². To compensate, nearly all ‘RNA sequencing’ instead uses a viral enzyme called reverse transcriptase, which copies RNA into sequencer-friendly DNA strands.

Tiny is mighty

Nanopores offer a simpler way of sequencing actual RNA molecules, such as viral genomes. The technology is based on applying electrical current across a nanoscale molecular pore, and then measuring tell-tale current fluctuations as genetic material snakes through.

Fast track: nanopore sequencing identifies individual bases as a strand of DNA is passed through a pore.

In January, researchers at a leading developer of the technology, UK-based Oxford Nanopore Technologies, directly sequenced RNA using a chocolate-bar-sized device called the MinION³. That effort looked at transcripts of messenger RNA, the family of RNA molecules that conveys information from DNA to build proteins.

Oxford Nanopore

Oxford Nanopore's MinION sequencer can read DNA fragments up to 10 kilobases long

Barnes’s team applied this method to the genome of influenza A, which is roughly 13,500 RNA letters long and composed of eight segments. Barnes says his team’s approach isn’t ready for prime time. It required a lot of flu virus, and to iron out inevitable sequencing errors, the raw data had to be processed many times over. But nanopore technology is advancing quickly, and Barnes hopes that with further improvements, direct sequencing of flu and other RNA viruses will become routine.

At the top of his and other scientists’ wish lists are methods for identifying chemical modifications to RNA. More than 100 have been identified so far, but researchers have little idea what most of them do, in large part because it has been impossible to study them systematically. The Oxford Nanopore team was able to detect two common RNA modifications, or tags. Birney, who is a paid consultant to the company, expects that the technology will be able to find many more once machine-learning algorithms are used to unpick the tags’ signatures.

Sequencing modified bases of RNA would be “a big deal” for the field, says Bryan Cullen, a virologist at Duke University in Durham, North Carolina. His team found last year⁴ that a tag called m⁶A seems to alter the expression of influenza genes during infection in mice, which promotes viral replication. Current methods for detecting such modifications are time-consuming and expensive, he adds. Stacy Horner, co-director of Duke’s Center for RNA Biology, says that nanopore sequencing could also reveal hidden diversity in RNA viruses, which is lost with other methods that cobble together much shorter stretches of genetic material to generate a genome.

Although the methods aren’t yet perfect, Birney says, biologists are still excited about the possibility of soon being able to sequence entire viral genomes and other RNA molecules in their natural forms. “Suddenly, we’ve got the technology to do this. It’s kind of amazing.”

Nature 556, 420 (2018)

doi: 10.1038/d41586-018-04908-5