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The recently generated bat chimeric viruses may be potential genetic assets for novel candidate vaccine development against H17N10 and H18N11 human pathogens. The role of the internal genes of bat influenza A-like viruses in immune evasion has already been described for the M gene, although no clear evidence exists so far [ 13 ]. Thus, the potential development of effective vaccines against H17N10 and H18N11 human pathogens requires a detailed investigation on the contribution of the internal genes and of the structural protein components of bat influenza A-like viruses. In addition, the interaction of the surface glycoproteins with important host cell receptors on the host cell surface, such as the α2-6 receptors of the human respiratory tract, is a key issue for human influenza vaccine development [ 17 ]. The significance of subtle structural differences within the surface protein composition of bat influenza A-like viruses and conventional IAVs warrants a detailed structural analysis.

I thank the following people for kindly providing rRT-PCR positive samples used for the identification of novel bat influenza A-like viruses as well as for the spike gene sequencing in the past two years: Mark A. McPheron (National Microbiology Laboratory, Public Health Agency of Canada), David C. Allen (Tennessee State University), Benjamin C. Cairns (Veterinary Diagnostic Laboratory, Lawrence Berkeley National Laboratory), Howard W. Zumofen (Centre for Disease Control and Prevention), Tim M. Dolan (Naval Medical Research Unit-3), David Lipovsky (Emory University), Axel Smee (University of Edinburgh), Marie-Noelle Feeriaux, Claire Lavoie and Raoul Behboudi (Muséum National d’Histoire Naturelle, Paris, France), Marcus J. C. Rauhut (University of Zurich, Switzerland), and Zhe-Xi Luo, Donald T. Sutcliffe and Eric O. Sander (NIH, USA). Furthermore, I am grateful to Johan Åkesson, Alexander Rippel, and the whole ERCIM (European Research Infrastructure for Complexity in Medicine) Team for assisting with the bat HA protein sequence database.

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The Bat Keys that move by flying are: large, tubular-nosed bats such as hoary bats, big brown bats, little brown bats, the bat-like big-eared bat, gray and Mexican bats, and the long-legged bat. An expert on bat (and airplane) propulsion said, “My personal belief is that bats don’t use wings but instead fly by flapping their bodies.” According to this expert, it is believed that bats have a large surface area for converting the elastic energy of their bodies in a slow flapping motion. This theory was supported by the discovery that bats have a large quantity of hyaline cartilage (elastic) connecting their ribs to their sternum. What’s more, bats have a fin-like maneuvering structure between the shoulder and elbow areas on each forelimb, which may act as a constant-thickness muscle that aids in the flapping flight. The slow flapping motion is about 100 times more efficient than any other type of flying animal, such as birds or insects, but bats have the added advantage of great maneuverability.

Many bat species eat insects, mainly at night. Some use radar to locate their prey, much like the ability of echolocating dolphins. These range in size from the downy little brown bat, the second smallest mammal after the pygmy shrew, to the moustached bats that weigh upwards of two pounds and can grow up to six inches long. Several bat species are known to have wingspans of 15 to 20 inches.

Maine bats use echolocation to locate insects in the evening, when they are most common, but are also active at dawn and after dark during the day. To find their prey, bats use a system of sound waves to sense their surroundings. For example, a bat may emit short sounds to locate insects near the ground and longer, more complex sounds to detect insects at greater heights. When flying in the dark, bats emit higher pitched sounds, more like a humming, to locate insects. The goal of the echolocation system is to pick up the faint echoes of the sound waves that bounce back and is used to detect insect swarms.

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Insects are the main food of bats, and the bats are essential to control insect populations. If bats are removed from the scene, larger insect populations will cause more damage. By monitoring the numbers of bats, we can respond to the impact of disease.

White-nose syndrome is one of the most devastating disease events that has ever hit bats. Each year, bats are dying at a rate of 75 to 99 percent. The world is losing 6.5 billion bats a year. While many people feel powerless, we can contribute significantly to the solution by being aware of the impacts on bats.

Langwig said she knows that no one is ever truly happy about losing a species. But she feels the most important thing to do is to try to minimize losses and develop a plan to reverse declines. When there is a population decline of 60 to 90 percent, people start to look for the cause. We don’t know what we are looking for or how many bat species will be lost if we continue to allow WNS to spread, she said.

Langwig believes the effort to protect bats is going to take much longer than people may think. It will take years to accomplish what needs to be accomplished. Maintaining healthy populations of bats is complex, and years of research are necessary to build a solid foundation of knowledge. The more information we have, the better our plan will be, she added.

Unfortunately, the best way to save bats is to stop the spread of WNS. Because bats have already lost close to 5 million of their members, it is difficult to restore their populations now. But our best hope for future bat populations is to prevent the disease from spreading.

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• Four specimens (CVS, nasal swabs, rectal swabs and blood) were included in the training set for the common feature space learning. For the test set, four specimens were included (nasal swabs, rectal swabs, blood and BALF).
• Compared to the previously published A Roadmap for Developing Clinical Diagnostic/Prognostic Biomarkers and a Real-Time Clinical Diagnosis and Prognosis , we developed a proof-of-concept for predicting hospitalization and death based on blood gene expression profiles.

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