Tuesday, July 26, 2022

Wildlife photography DOES impact birds’ breeding behavior – but not in the way you might expect


Peer-Reviewed Publication

KEAI COMMUNICATIONS CO., LTD.

The feeding frequency of five bird species in the morning with photographers absent (grey column) and present (blue column). 

IMAGE: THE FEEDING FREQUENCY OF FIVE BIRD SPECIES IN THE MORNING WITH PHOTOGRAPHERS ABSENT (GREY COLUMN) AND PRESENT (BLUE COLUMN). view more 

CREDIT: GUANGXI KEY LABORATORY OF FOREST ECOLOGY AND CONSERVATION, GUANGXI UNIVERSITY, CHINA.

Capturing candid photos of birds in their natural habitat has become an increasingly popular activity globally. And photographing birds and their young in their nests offers photographers a fascinating glimpse into avian family life.

According to Xiaocai Tan, an ornithologist and PhD candidate at Guangxi University in China, this focus on birds’ nests has worried scientists, who are concerned that the close proximity of humans to the nesting sites might negatively impact bird reproduction.

However, in a study published in the KeAi journal Avian Research, she and her colleagues discovered that quite the opposite is true.

She explains: “Nonggang is a limestone tropical forest region in southern China. We noticed a sharp increase in the number of bird photographers visiting the area following the discovery of the Nonggang Babbler species there in 2008. These photographers were typically setting up their cameras close to the nests of a wide variety of bird species, as they knew that the parents would either be brooding their eggs, or returning to feed their young. This gave them the perfect opportunity to take great, and even award-winning photos.”

Tan and her colleagues decided to study the effect of these photographers on the birds’ nesting habits – specifically, nest predation and parental feeding rates. They knew that nest predators, including other birds, mammals and reptiles, were killing around 60%, and sometimes up to 75% of the ‘nestlings’ in the region, including the young of the globally vulnerable Nonggang Babbler.

During the study, which involved 12 months’ field work and the checking of 277 bird nests covering 42 species, the team discovered that the predation rate of nests that were photographed (13.3%), was signifantly lower than the rate seen in unphotographed nests (62.9%).

Tan adds: “In other words, the presence of the photographers increased the survival rate of the bird nestlings. Interestingly, their presence had little effect – positive or negative – on the feeding rates in those nests.”

According to Aiwu Jiang, the investigator who led the study, this finding is totally contrary to what most scientists had expected. He says: “Like a scarecrow, the presence of photographers seems to scare the nest predators away. Other research we’ve conducted in the same area shows that the presence of traffic noise can draw away birds’ mammalian predators.”

He adds: “Although this finding suggests that photograpy has a positive impact on the successful breeding of birds, it doesn’t mean that we are encouraging photographers to visit nest sites - there needs to be further assessment of other aspects of nesting, and other kinds of stress responses, before the total effect of bird photography can be understood.”

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Contact the corresponding author: Aiwu Jiang, aiwuu@163.com

The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).

Coronavirus jumped to humans at least twice at market in Wuhan, China

Studies describe not only where the COVID-19 pandemic began, but the likelihood that the causative SARS-CoV-2 virus made the leap from animal hosts to people multiple times

Peer-Reviewed Publication

UNIVERSITY OF CALIFORNIA - SAN DIEGO


In a pair of related studies, published July 26, 2022 online via First Release in Science, researchers at University of California San Diego, with colleagues on four continents, show that the origin of the COVID-19 pandemic in 2019 was at the Huanan Seafood Wholesale Market in Wuhan, China, and resulted from at least two instances of the SARS-CoV-2 virus jumping from live animal hosts to humans working or shopping there.

The findings, first reported in February after the papers were posted online as preprints awaiting peer review, garnered international attention, primarily focusing on identifying the market as the early epicenter of the COVID-19 pandemic. The World Health Organization estimates that there have been more than 566 million confirmed cases of COVID-19 worldwide and 6.3 million deaths since the pandemic was declared in early 2020.

“It’s vital that we know as much about the origin of COVID-19 as possible because only by understanding how pandemics get started can we hope to prevent them in the future,” said Joel O. Wertheim, PhD, associate professor in the Division of Infectious Diseases and Global Public Health at UC San Diego School of Medicine, and a co-author on both papers.

But elemental to understanding pandemic origins is pinpointing not just where, but how, a pathogen successfully jumps from a non-human animal host to human, known as a zoonotic event.

“I think there’s been consensus that this virus did in fact come from the Huanan Market, but a strong case for multiple introductions hasn’t been made by anyone else yet,” said Wertheim, senior author of the study that posits the SARS-CoV-2 virus, which causes COVID-19, jumped from animals to humans at least twice and perhaps as many as two dozen times.

According to researchers, two evolutionary branches of the virus were present early in the pandemic, differentiated only by two differences in nucleotides — the basic building blocks of DNA and RNA.

Lineage B, which included samples from people who worked at and visited the market, became globally dominant. Lineage A spread within China, and included samples from people pinpointed only to the vicinity the market. If the viruses in lineage A evolved from those in lineage B, or vice versa, Wertheim said this would suggest SARS-CoV-2 jumped only once from animals to humans.

But work by Wertheim and collaborators found that the earliest SARS-CoV-2 genomes were inconsistent with a single zoonotic jump into humans. Rather, the first zoonotic transmission likely occurred with lineage B viruses in late-November 2019 while the introduction of lineage A into humans likely occurred within weeks of the first event. Both strains were present at the market simultaneously.

Researchers arrived at this conclusion by deciphering the evolutionary rate of viral genomes to deduce whether or not the two lineages diverged from a single common ancestor in humans. They used a technique called molecular clock analysis and an epidemic simulation tool called FAVITES, invented by Wertheim team member Niema Moshiri, PhD, an assistant professor of computer science at Jacobs School of Engineering at UC San Diego and study co-author.

“None of this could have been done without FAVITES,” said Wertheim.

Validation

In February 2022, researchers at the Chinese Center for Disease Control and Prevention published a long-delayed analysis of genetic traces of the earliest environmental samples collected at the market two years earlier.

The samples were obtained after the first reports of a new, mysterious illness and after the market had already been shut down. The Huanan Seafood Wholesale Market in Wuhan is a so-called “wet market” where live animals are often slaughtered and sold for human consumption, including in some cases, wildlife.

However, no live wild mammals were left at the market after it was shut down. Instead, Chinese researchers swabbed walls, floors and other surfaces, tested meat still in freezers, sampled sewers and caught mice and stray cats and dogs around the market.

Their findings confirmed the not-yet-published predictions of Wertheim’s team that Lineage A was also at the market.

“We felt validated, but what we felt more was immense pressure because they beat our preprint to the punch by about 12 hours, and we could only discuss their findings in light of ours,” Wertheim said. “We were also shocked that they had been sitting on evidence for lineage A at the market for over a year without realizing its importance.”

The newly published data, said study authors, are powerful evidence that the two viral lineages evolved separately and that multiple spillover events occurred. The Wuhan market reportedly contained a robust live wild animal business, with snakes, badgers, muskrats, birds and raccoon dogs (a canid indigenous to Asia) and other species sold for food. Wertheim said he believes there were likely many viral introductions. At least two successfully made the animal-human leap; other viral strains went extinct.

“While I'm hesitant to call it proof, what we presented is the most comprehensive explanation for the SARS-CoV-2 genomic diversity at the outset of the pandemic,” Wertheim said. “There are really no other good explanations for both of these strains being at the market except for multiple jumps into humans.”

(The findings undercut a circulating and persistent theory that the SARS-CoV-2 virus escaped from the Wuhan Institute of Virology, located a few miles from the market.)

Jonathan E. Pekar, a doctoral student in Bioinformatics and Systems Biology who co-led the project with Wertheim and is lead author, said the pandemic was likely looming for years, awaiting only for the opportunity when humans would come into contact with an animal host capable of transmitting the virus.

“Everything complicated happened before that introduction,” Pekar said. “The last step is just extended contact and transmission from hosts to humans. At that point, it would actually be unusual to only have one introduction. We've seen this before with MERS-CoV (a similar zoonotic virus). We’ve seen it with humans giving SARS-CoV-2 to minks on farms and then minks giving it back to humans.

“This has happened before, and it's going to keep happening. Nature is a better lab than humans will ever be.”

The latest study continues a series of published papers by Wertheim and colleagues investigating and chronicling the origin and spread of COVID-19.

In September 2020, they published data explaining how the first, few cases of novel coronavirus in North America and Europe quickly spread due to insufficient testing and contact tracing. In March 2021, Wertheim, Pekar and colleagues characterized the brief time-period during which SARS-CoV-2 could have circulated undetected before the first human cases in Wuhan.

Co-authors of “The molecular epidemiology of multiple zoonotic origins of SARS-CoV-2” include: Andrew Magee, Karthik Gangavarapu and Marc A. Suchard, all at UCLA; Edyth Parker, Nathaniel L. Matteson, Mark Zeller, Joshua I. Levy and Kristian G. Andersen, all at The Scripps Research Institute; Katherine Izhikevich, Jennifer L. Havens and Tetyana I.Vasylyeva, all at UC San Diego; Lorena Mariana Malpica Serrano and Michael Worobey, both at University of Arizona; Alexander Crits-Christoph, Johns Hopkins Bloomberg School of Public Health; Jade C. Wang and Scott Hughes, both at New York City Department of Health; Jungmin Lee, Heedo Park, Man-Seong Park, Korea University; Katherine Ching Zi Yan and Raymond Tzer Pin Lin, all at National Centre for Infectious Diseases, Singapore; Mohd Noor Mat Isa and Yusuf Muhammad Noor, both at Malaysia Genome and Vaccine Institute; Robert F. Garry, Tulane University; Edward C. Holmes, University of Sydney, Australia; and Andrew Rambaut, University of Edinburgh.

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Study unveils first global dataset for SARS-CoV-2 infections in animals


Structured data on the virus in animals is essential to further our understanding of the COVID-19 pandemic and mitigate its spread at the human-animal interface, according to the authors of the paper published in Scientific Data


Peer-Reviewed Publication

COMPLEXITY SCIENCE HUB VIENNA

SARS-CoV-2 variants 

IMAGE: THE DIAGRAM SHOWS THE SARS-COV-2 VARIANTS IDENTIFIED IN THE DIFFERENT ANIMAL HOSTS. THE FIGURE DESCRIBES THE NUMBER OF EVENTS (ONE EVENT MAY INCLUDE ONE OR MORE CASES). view more 

CREDIT: NERPEL, A., YANG, L., SORGER, J. ET AL.

[Vienna, July 2022] In a pioneering initiative, a multidisciplinary Austrian team created the most comprehensive global dataset of SARS-CoV-2 infections in animals. Their findings were published Saturday, July 23, in the journal Scientific Data and the epidemiological information is available on a dashboard at https://vis.csh.ac.at/sars-ani/

“There was an urgent need for a global dataset on SARS-CoV-2 events in animals that can be easily imported, processed, and analyzed,” says Amélie Desvars-Larrive, the principal investigator of the study and a researcher at the Complexity Science Hub Vienna (CSH).

The initiative intends to facilitate One Health approaches on SARS-CoV-2. The idea is to create a collaborative approach that recognizes the interdependence of human, animal, and environmental health to obtain optimal health for all. 

“To tackle major threats to human health, we need integrated approaches,” points out Desvars-Larrive. “Although animals do not appear to play a significant role in the spread of COVID-19 among people currently, One Health tools that enable the integrative analysis and visualization of SARS-CoV-2 events are critical.” 

Two major animal health databases

For the past months, Desvars-Larrive and her team meticulously extracted, combined, and structured information on SARS-CoV-2 cases in animals. They included publicly available data from two major animal health databases: the Program for Monitoring Emerging Diseases (ProMED), a reporting system of the International Society for Infectious Diseases; and the World Animal Health Information System (WAHIS) of the World Organisation for Animal Health.

The unified dataset, called SARS-ANI, feeds a dashboard, which includes an overview of SARS-CoV-2 events in animals worldwide, stratified by species; clinical signs that were allegedly associated with the disease; control measures and outcomes; and a geographical overview of all events. The dashboard is linked to the live dataset available on GitHub.

Answers to current questions

The dataset can help answering some of the many questions regarding SARS-CoV-2 in animals, according to the authors. It shows, for instance, that the number of reported SARS-CoV-2 cases in animals is steadily increasing worldwide. A total of 704 events (one event can include one or more cases that are epidemiologically related) have been reported in 39 countries, across 27 animal species (as of July 25, 2022).

In addition, the team described a high diversity of SARS-CoV-2 variants in the animal hosts, especially in American mink and white-tailed deer. These variants show similarities with human variants. In terms of animal case fatality rates, they are relatively low.

An essential tool

Also, the dataset can be useful for estimating the impact of SARS-CoV-2 on pets, farm animals, wildlife, and conservation programs. In addition, scientists and policymakers can use it to develop guidelines for prevention, risk-based surveillance, and response to SARS-CoV-2.

“We believe the SARS-ANI dataset, with timely and reliable information, can assist in the development of national and international regulations and agreements aiming to reduce the risk of transmission at the human-animal interfaces,” declares Desvars-Larrive, who is also a professor in infection epidemiology at the University of Veterinary Medicine Vienna. 

The dataset – a joint effort by experts from CSH, University of Veterinary Medicine Vienna, and Wildlife Conservation Society – will be updated weekly for at least one year. “We also hope to receive new data from researchers around the world to develop it further and expand its use”, says Desvars-Larrive.

  

CAPTION

The SARS-ANI dashboard gives an easy-to-understand overview of specific aspects of SARS-CoV-2 events in animals and is publicly accessible at https://vis.csh.ac.at/sars-ani/

CREDIT

Nerpel, A., Yang, L., Sorger, J. et al.

The study SARS-ANI: a global open access dataset of reported SARS-CoV-2 events in animals by Afra Nerpel, Liuhuaying Yang, Johannes Sorger, Annemarie Käsbohrer, Chris Walzer, and Amélie Desvars-Larrive appeared in Scientific Data 9 (438) (2022). 

The SARS-ANI dashboard gives an easy-to-understand overview of specific aspects of SARS-CoV-2 events in animals and is publicly accessible at https://vis.csh.ac.at/sars-ani/


About CSH 

The mission of Complexity Science Hub Vienna is to host, educate, and inspire complex systems scientists dedicated to making sense of Big Data to boost science and society. Scientists at the Hub develop methods for the scientific, quantitative, and predictive understanding of complex systems.

The CSH is a joint initiative of AIT Austrian Institute of Technology, Central European University CEU, Danube University Krems, Graz University of Technology, IIASA, Medical University of Vienna, TU Wien, VetMedUni Vienna, Vienna University of Economics and Business, and Austrian Economic Chambers (WKO). 

https://www.csh.ac.at