Scientists Try to Solve Amelia Earhart Mystery Through Her Saliva (Time.com)

Scientists are attempting to create a genetic profile for Amelia Earhart through her saliva - taken from letter seals - to determine if a bone fragment found in 2009 does belong to the missing aviator.
In July 1937, Amelia Earhart and her navigator, Fred Noonan, vanished over the Pacific Ocean. Using the Equator, they were attempting to fly around the world, one of the longest routes around the Earth. She was the first woman to fly solo across the Atlantic Ocean. (See 10 famous disappearances.)
About two years ago, researchers found a bone fragment on the South Pacific island of Nikumaroro. They believe it might have came from one of Earhart's fingers, but there has been no surefire way to prove if it belonged to her or even possibly another animal. (Read about the bone sliver found in the Pacific Ocean.)
All possible traces of Earhart's DNA, on clothing or locks of hair, have long since dried up or is considered unreliable. Instead scientists are relying on personal letters to family that Earhart would most have likely written herself. And they're in luck: during that time, most people used letter openers from the side so the original seals remain intact. (See more on Hollywood's biopic on the aviator.)
The project will compare DNA from the samples against her living relatives to determine if it's a match. It's expected to take a few months to build a profile. If it succeeds, either the mystery of Amelia Earhart will be unraveled - or the hunt will be still on for what actually happened to Amelia.
View this article on Time.com
Most Popular on Time.com:
View the original article here

Scientists Monitor Killer Mice … From Space (LiveScience.com)

NASA satellites hovering hundreds of kilometers above the Earth may now be able to track a very terrestrial threat: mice.
According to a new study published Wednesday (Feb. 16) in the journal Global Ecology and Biogeography, satellite images showing changes in vegetation (food for mice) can be used to predict the risk of mouse-borne disease outbreaks. Flourishing vegetation generally means a mouse baby boom, and that, in turn, means more rodents carrying hantavirus, a respiratory disease that can be fatal when spread to humans.
The method "potentially could be applied to any animal that responds to vegetation," study co-author Denise Dearing, a biologist at the University of Utah, said in a statement. "It would have to be calibrated against each specific species of rodent and the disease, but it's really powerful when it's done."
Other diseases spread from wild animals to humans include rat-bite fever, Lyme disease and bubonic plague, Dearing said.
Hantavirus and hantanauts
Hantavirus is an ailment spread when people inhale dust containing mouse feces or urine. Only 503 human cases of hantavirus were reported between 1993 and 2009, according to the Centers for Disease Control and Prevention, but the disease is serious: About 36 percent of cases were fatal.
Dearing and her colleagues wanted a way to not just track outbreaks, but to predict them. The research team set about collecting two types of data. First, they trapped hundreds of mice during six field expeditions over three years. Each mouse was tagged and tested for the disease before being released.
When trapping first began, the researchers feared contracting hantavirus by handling the trapped rodents. To protect themselves, they initially donned biohazard suits that look like spacesuits, earning the nickname "hantanauts." After medical researchers learned that hantavirus isn't easily transmitted by handling mice (people usually get it when cleaning out dusty, enclosed spaces contaminated with mouse feces), the research team was able to ditch the suits.
Second, the team pulled data from MODIS, or the Moderate Resolution Imaging Spectroradiometer, a sensor on NASA's Terra satellite. The MODIS images of the field area in Juab County, Utah, were analyzed to measure the green light reflected by plants' leaves and the infrared light that plants absorb. More green and less red meant more vegetation.
Disease-monitoring from space
The researchers expected the mouse population to surge after vegetation peaked, but they didn't know how long it would take. They tested correlations between vegetation and the number of trapped and infected mice at about three-and-a-half months after a vegetation peak, one year after, and one year and three-and-a-half months after.
They found that the mouse population boomed one year after a vegetation surge and then boomed again three-and-a-half months after that. The proportion of hantavirus-infected mice trapped didn't change, but the absolute number of infected mice went up along with the population.
"You can think of it as a kind of air drop of food for the mice," study co-author Thomas Cova, a geography professor at the University of Utah, said in a statement. "It's rained and suddenly there's just so much food that they're rich. They get fat, population density goes up, and about a year-and-a-half later, population peaks."
Because the satellite vegetation images so clearly predict mouse population booms, health officials could use the information to pinpoint where hantavirus outbreaks are most likely to occur.
"Although the focus of this work is hantavirus in deer mice, it contributes to our broader understanding of how to monitor the spread of infectious diseases from space, which in the long run could save lives," Cova said.
You can follow LiveScience Senior Writer Stephanie Pappas on Twitter @sipappas.
View the original article here