Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021
Abstract Coronaviruses (CoVs) pose a huge threat to public health as emerging viruses. Bat-borne CoVs are especially unpredictable in their evolution due to some unique features of bat physiology boosting the rate of mutations in CoVs, which is already high by itself compared to other viruses. Among...
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Nature Portfolio
2023-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-29099-6 |
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author | Igor V. Popov Olesia V. Ohlopkova Irina M. Donnik Petr V. Zolotukhin Alexander Umanets Sergey N. Golovin Aleksey V. Malinovkin Anna A. Belanova Pavel V. Lipilkin Tatyana A. Lipilkina Ilya V. Popov Alexandr K. Logvinov Nikita A. Dubovitsky Kristina A. Stolbunova Ivan A. Sobolev Alexander Yu. Alekseev Alexander M. Shestopalov Valentina N. Burkova Michael L. Chikindas Koen Venema Alexey M. Ermakov |
author_facet | Igor V. Popov Olesia V. Ohlopkova Irina M. Donnik Petr V. Zolotukhin Alexander Umanets Sergey N. Golovin Aleksey V. Malinovkin Anna A. Belanova Pavel V. Lipilkin Tatyana A. Lipilkina Ilya V. Popov Alexandr K. Logvinov Nikita A. Dubovitsky Kristina A. Stolbunova Ivan A. Sobolev Alexander Yu. Alekseev Alexander M. Shestopalov Valentina N. Burkova Michael L. Chikindas Koen Venema Alexey M. Ermakov |
author_sort | Igor V. Popov |
collection | DOAJ |
description | Abstract Coronaviruses (CoVs) pose a huge threat to public health as emerging viruses. Bat-borne CoVs are especially unpredictable in their evolution due to some unique features of bat physiology boosting the rate of mutations in CoVs, which is already high by itself compared to other viruses. Among bats, a meta-analysis of overall CoVs epizootiology identified a nucleic acid observed prevalence of 9.8% (95% CI 8.7–10.9%). The main objectives of our study were to conduct a qPCR screening of CoVs’ prevalence in the insectivorous bat population of Fore-Caucasus and perform their characterization based on the metagenomic NGS of samples with detected CoV RNA. According to the qPCR screening, CoV RNA was detected in 5 samples, resulting in a 3.33% (95% CI 1.1–7.6%) prevalence of CoVs in bats from these studied locations. BetaCoVs reads were identified in raw metagenomic NGS data, however, detailed characterization was not possible due to relatively low RNA concentration in samples. Our results correspond to other studies, although a lower prevalence in qPCR studies was observed compared to other regions and countries. Further studies should require deeper metagenomic NGS investigation, as a supplementary method, which will allow detailed CoV characterization. |
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issn | 2045-2322 |
language | English |
last_indexed | 2024-04-10T15:44:02Z |
publishDate | 2023-02-01 |
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spelling | doaj.art-3a86aab1530e43f38fc40232d7d78cd52023-02-12T12:11:27ZengNature PortfolioScientific Reports2045-23222023-02-0113111210.1038/s41598-023-29099-6Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021Igor V. Popov0Olesia V. Ohlopkova1Irina M. Donnik2Petr V. Zolotukhin3Alexander Umanets4Sergey N. Golovin5Aleksey V. Malinovkin6Anna A. Belanova7Pavel V. Lipilkin8Tatyana A. Lipilkina9Ilya V. Popov10Alexandr K. Logvinov11Nikita A. Dubovitsky12Kristina A. Stolbunova13Ivan A. Sobolev14Alexander Yu. Alekseev15Alexander M. Shestopalov16Valentina N. Burkova17Michael L. Chikindas18Koen Venema19Alexey M. Ermakov20Centre for Healthy Eating and Food Innovation, Maastricht University-Campus VenloState Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, World-Class Genomic Research Center for Biological Safety and Technological Independence, Federal Scientific and Technical Program On the Development of Genetic TechnologiesUral State Agrarian UniversitySouthern Federal UniversityCentre for Healthy Eating and Food Innovation, Maastricht University-Campus VenloAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversitySouthern Federal UniversityAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityResearch Institute of Virology, Federal State Budgetary Scientific Institution “Federal Research Center for Fundamental and Translational Medicine”State Research Center of Virology and Biotechnology “Vector”, RospotrebnadzorResearch Institute of Virology, Federal State Budgetary Scientific Institution “Federal Research Center for Fundamental and Translational Medicine”Research Institute of Virology, Federal State Budgetary Scientific Institution “Federal Research Center for Fundamental and Translational Medicine”Research Institute of Virology, Federal State Budgetary Scientific Institution “Federal Research Center for Fundamental and Translational Medicine”Institute of Ethnology and Anthropology, Russian Academy of SciencesAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityCentre for Healthy Eating and Food Innovation, Maastricht University-Campus VenloAgrobiotechnology Center, Faculty “Bioengineering and Veterinary Medicine”, Don State Technical UniversityAbstract Coronaviruses (CoVs) pose a huge threat to public health as emerging viruses. Bat-borne CoVs are especially unpredictable in their evolution due to some unique features of bat physiology boosting the rate of mutations in CoVs, which is already high by itself compared to other viruses. Among bats, a meta-analysis of overall CoVs epizootiology identified a nucleic acid observed prevalence of 9.8% (95% CI 8.7–10.9%). The main objectives of our study were to conduct a qPCR screening of CoVs’ prevalence in the insectivorous bat population of Fore-Caucasus and perform their characterization based on the metagenomic NGS of samples with detected CoV RNA. According to the qPCR screening, CoV RNA was detected in 5 samples, resulting in a 3.33% (95% CI 1.1–7.6%) prevalence of CoVs in bats from these studied locations. BetaCoVs reads were identified in raw metagenomic NGS data, however, detailed characterization was not possible due to relatively low RNA concentration in samples. Our results correspond to other studies, although a lower prevalence in qPCR studies was observed compared to other regions and countries. Further studies should require deeper metagenomic NGS investigation, as a supplementary method, which will allow detailed CoV characterization.https://doi.org/10.1038/s41598-023-29099-6 |
spellingShingle | Igor V. Popov Olesia V. Ohlopkova Irina M. Donnik Petr V. Zolotukhin Alexander Umanets Sergey N. Golovin Aleksey V. Malinovkin Anna A. Belanova Pavel V. Lipilkin Tatyana A. Lipilkina Ilya V. Popov Alexandr K. Logvinov Nikita A. Dubovitsky Kristina A. Stolbunova Ivan A. Sobolev Alexander Yu. Alekseev Alexander M. Shestopalov Valentina N. Burkova Michael L. Chikindas Koen Venema Alexey M. Ermakov Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 Scientific Reports |
title | Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 |
title_full | Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 |
title_fullStr | Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 |
title_full_unstemmed | Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 |
title_short | Detection of coronaviruses in insectivorous bats of Fore-Caucasus, 2021 |
title_sort | detection of coronaviruses in insectivorous bats of fore caucasus 2021 |
url | https://doi.org/10.1038/s41598-023-29099-6 |
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