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Detection and full genome characterization of two beta CoV viruses related to Middle East respiratory syndrome from bats in Italy

Overview of attention for article published in Virology Journal, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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1 news outlet
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11 X users

Citations

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53 Dimensions

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108 Mendeley
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Title
Detection and full genome characterization of two beta CoV viruses related to Middle East respiratory syndrome from bats in Italy
Published in
Virology Journal, December 2017
DOI 10.1186/s12985-017-0907-1
Pubmed ID
Authors

Ana Moreno, Davide Lelli, Luca de Sabato, Guendalina Zaccaria, Arianna Boni, Enrica Sozzi, Alice Prosperi, Antonio Lavazza, Eleonora Cella, Maria Rita Castrucci, Massimo Ciccozzi, Gabriele Vaccari

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV), which belongs to beta group of coronavirus, can infect multiple host species and causes severe diseases in humans. Multiple surveillance and phylogenetic studies suggest a bat origin. In this study, we describe the detection and full genome characterization of two CoVs closely related to MERS-CoV from two Italian bats, Pipistrellus kuhlii and Hypsugo savii. Pool of viscera were tested by a pan-coronavirus RT-PCR. Virus isolation was attempted by inoculation in different cell lines. Full genome sequencing was performed using the Ion Torrent platform and phylogenetic trees were performed using IQtree software. Similarity plots of CoV clade c genomes were generated by using SSE v1.2. The three dimensional macromolecular structure (3DMMS) of the receptor binding domain (RBD) in the S protein was predicted by sequence-homology method using the protein data bank (PDB). Both samples resulted positive to the pan-coronavirus RT-PCR (IT-batCoVs) and their genome organization showed identical pattern of MERS CoV. Phylogenetic analysis showed a monophyletic group placed in the Beta2c clade formed by MERS-CoV sequences originating from humans and camels and bat-related sequences from Africa, Italy and China. The comparison of the secondary and 3DMMS of the RBD of IT-batCoVs with MERS, HKU4 and HKU5 bat sequences showed two aa deletions located in a region corresponding to the external subdomain of MERS-RBD in IT-batCoV and HKU5 RBDs. This study reported two beta CoVs closely related to MERS that were obtained from two bats belonging to two commonly recorded species in Italy (P. kuhlii and H. savii). The analysis of the RBD showed similar structure in IT-batCoVs and HKU5 respect to HKU4 sequences. Since the RBD domain of HKU4 but not HKU5 can bind to the human DPP4 receptor for MERS-CoV, it is possible to suggest also for IT-batCoVs the absence of DPP4-binding potential. More surveillance studies are needed to better investigate the potential intermediate hosts that may play a role in the interspecies transmission of known and currently unknown coronaviruses with particular attention to the S protein and the receptor specificity and binding affinity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 19%
Student > Master 15 14%
Student > Bachelor 13 12%
Student > Ph. D. Student 13 12%
Other 5 5%
Other 9 8%
Unknown 33 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 19%
Agricultural and Biological Sciences 19 18%
Immunology and Microbiology 9 8%
Veterinary Science and Veterinary Medicine 6 6%
Medicine and Dentistry 5 5%
Other 12 11%
Unknown 37 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 February 2024.
All research outputs
#1,975,237
of 23,956,119 outputs
Outputs from Virology Journal
#146
of 3,164 outputs
Outputs of similar age
#46,291
of 446,180 outputs
Outputs of similar age from Virology Journal
#2
of 56 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,180 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.