Abstract
BACKGROUND
Bat-borne hantaviruses have been identified worldwide but little is known about neotropical bats in the megadiverse biomes of the American continent. Although serological evidence has hinted at hantavirus circulation in Brazil, the scarce number of genomic detection represents a gap to understand viral diversity, prevalence, and ecology of bat-borne hantaviruses.
OBJECTIVE
We aim to investigate and evaluate the presence and prevalence of bat-borne hantavirus in the Brazilian Atlantic Forest.
METHODS
Here in, 97 lung and kidney tissue samples from bats captured in the Brazilian Atlantic Rainforest were submitted to hantavirus-specific nested reverse transcription-polymerase chain reaction (RT-PCR) targeted the hantaviral L segment and metagenomic analysis.
FINDINGS
Hantavirus RNA was detected in five tissue fragments of 20 Seba’s short-tailed bats (Carollia perspicillata). Phylogenetic analysis, based on partial L-segment sequence using maximum likelihood method, demonstrated that the identified virus formed a monophyletic clade and a highly divergent bat-borne lineage comprising other recent strains found in the genus Carollia from South America.
MAIN CONCLUSIONS
Our findings suggest the presence of a novel bat-borne hantavirus in Brazil, tentatively named Mamanguape virus (MGPV). Additional genomic data will help to extend our knowledge about the classification of MGPV within the Hantaviridae family and the evolution origins of new world bat-borne hantaviruses.
Key words: bat-borne hantavirus, Brazilian Atlantic Rainforest, hantavirus, Carollia perspicillata, chiroptera
Most of our knowledge about hantavirology is based on rodent-borne hantaviruses within the genus Orthohantavirus. These include species such as Andes virus (Orthohantavirus andesense), Hantaan virus (Orthohantavirus hantanense), and Seoul virus (Orthohantavirus seoulense), which are associated with human diseases worldwide. Some orthohantaviruses cause varying severities of haemorrhagic fever with renal syndrome in Europe, Asia, and Africa, while others are linked to hantavirus pulmonary syndrome occurring in the Americas. 1 , 2 Despite most hantaviruses falling into the Orthohantavirus genus (including all rodent-borne hantaviruses), the discovery of distinct hantaviruses from various animal taxa (such as bats, shrews, moles, reptiles, and fishes) led to the proposal of new genera and subfamilies for their classification. 3 Currently, the Hantaviridae family comprises four subfamilies: Mammantavirinae (pathogenic and non-pathogenic hantaviruses detected in mammals), Actantavirinae and Agantavirinae (hantaviruses detected in fish), and Repantavirinae (including a hantavirus detected in squamate reptiles). 4 , 5
The discovery of highly divergent lineages of hantaviruses in bats of different species has provided unlimited opportunities to search for bat-associated hantaviruses, due to the vast geographic distribution and diversity of bats worldwide. Since the first report of Magboi virus in Africa, 6 novel bat-borne hantaviruses have been described in Africa, Europe, mostly Asia, and very recently in the Americas. 7 , 8 , 9 , 10
The American continent, despite harbouring one-third of the world’s bat diversity (approximately 350 species across nine families), 11 remains little explored in terms of bat-borne hantaviruses. Although serological evidence has hinted at hantavirus infections in different Brazilian bat species, 12 , 13 the detection of a bat-borne hantavirus RNA was only accomplished by 2024, through tissue fragments of heart, lung and kidney in C. perspicillata captured in the Cerrado biome. 10
Brazil, a megadiverse country with continental proportions, is divided into various biomes. Two of these biomes-the Cerrado and the Atlantic Forest-are biodiversity hotspots because of their diversity, endemism, and high proportion of species at risk of extinction. The Atlantic Forest sustains over 64% of Brazil’s total bat population. 14 , 15 Brazil hosts 15% of the world’s bat diversity and is home to bats associated with zoonotic pathogens, including the widespread C. perspicillata. 16 Our study aims to investigate and evaluate the presence and prevalence of bat-borne hantavirus in the northeastern Brazilian Atlantic Forest. We identified a presumably novel hantavirus provisionally named Mamanguape virus (MGPV) in Seba’s short-tailed bat (C. perspicillata, Phyllostomidae). A complete genome characterisation is essential for the accurate taxonomic classification of this new bat-borne hantavirus in Brazil.
MATERIALS AND METHODS
Ethics statement - All trapping and experimental procedures involving bats were conducted in accordance with approved capture licenses from the Instituto Chico Mendes de Conservação da Biodiversidade (SISBIO n 41683) and the Ethics Committee of the Oswaldo Cruz Foundation (FIOCRUZ) (CEUA LW-81/12, P-42/12.1).
Trap sites and bat sampling - The bats were trapped in the Guaribas Biological Reserve (GBR), located in the municipality of Mamanguape, in the State of Paraíba, Brazil. The GBR spans 4.051.62 hectares and is a conservation unit of the Atlantic Forest Biome, the second largest tropical rainforest after the Amazon Rainforest (Fig. 1). Situated at the northern limits of the Atlantic Forest in the Northeastern Brazilian region, this portion of the biome is the most deforested area, with approximately 11% of remnants, mostly surrounded by sugarcane monoculture that began in the 16th century. The Guaribas Biological Reserve’s mammalian fauna comprises about 70 species, 60 genera, and eight orders, with 33 species belonging to the order Chiroptera. 17 Between March 31st and April 09th, 2015, a total of 199 individuals representing seven genera and eight species were collected using ten mist nets with the following specifications: five nets of 12 x 2.5 m, two nets of 7 x 2.5 m, and three canopy nets of 3 x 2.5 m, all with a 20-millimetre mesh. The nets were set up at five sampling points, with a two-night sampling at each point. The animals were identified based on the works of Gardner and reviewed based on Díaz et al. 18 , 19 The animals collected in the four areas are deposited in the Mammal Collection of the Federal University of Paraíba. After identification, a total of 97 individuals were euthanised and had their organ tissues extracted, such as the lung, liver, and kidneys. 20 The tissue samples were stored in TRIzolTM reagent (Invitrogen, San Diego, USA) at -20ºC for future molecular analyses.
Fig. 1: (A) Location of the Guaribas Biological Reserve in Paraíba State, Brazil, positioned at the northern edge of the Atlantic Forest Biome (highlighted in green). (B) Landscape context of the Guaribas Biological Reserve within the limited (~ 11%) Atlantic Forest remnants (depicted in green) of Paraíba State, juxtaposed with its capital, João Pessoa (highlighted in red). (C) Sampling sites of Hantavirus-positive Seba’s short-tailed bat Carollia perspicillata within the Guaribas Biological Reserve area SEMA II. 1. Cabeça de Boi; 2. Trilha do Inhão.

RNA extraction, reverse transcription-polymerase chain reaction (RT-PCR) and sequencing - Total RNA was extracted from the lung and kidney of each bat sample using the TissueLyser LT® (Qiagen, Hilden, Germany) and PureLink RNA® Mini Kit (Invitrogen, San Diego, USA) following the manufacturer’s instructions. Hantavirus-specific RT-PCR was conducted to amplify a fragment of the RNA-dependent RNA polymerase-encoding L segment, utilising published primers. 21 Amplicons were directly nucleotide sequenced using the BigDye®Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, USA) as per the manufacturer’s recommendations, with the reaction run in an ABI Prism 3130x (Applied Biosystems).
Metagenomic preparation cDNA and sequencing - One animal with a positive RT-PCR diagnosis in both kidney and lung tissues underwent a viral metagenomics protocol to obtain additional Hantaviridae genome information. The previously extracted RNA from lung and kidney tissues was equimolarly mixed into a pool and utilised as a template for cDNA synthesis using the Superscript IV First Strand Synthesis Kit (Invitrogen, United States), followed by dsDNA synthesis with the Klenow fragment 3′-5′ exo (New England Biolabs Inc., United States). A sequence library was constructed using the Nextera XT DNA Library Preparation Kit (Illumina, United States) following the standard protocol. Library molarity was determined through quantification with the QuBit dsDNA HS Assay Kit and fragment size inference with the NEBNext® Library Quant Kit (New England Biolabs, United States). Subsequently, 11 pM of the library was loaded into a MiSeq V2 Nano 300-cycle cartridge (Illumina), and massive sequencing was conducted on the Illumina MiSeq platform at the Department of Genetics of Rio de Janeiro Federal University.
The sequencing data underwent processing through an in-house pipeline. Raw reads shorter than 50 bp and low-quality reads with Phred scores under 30 were removed using Fastp v.0.20.1. 22 Reads were then mapped against the host genome (C. perspicillata, Accession: GCA_004027735-1) with BWA v 0.7.17, 23 and unaligned reads were de novo assembled with Meta-spades software v.3.15.3. 24 , 25 Taxonomic assignment of unaligned reads and assembled contigs was performed using Diamond v.2.0.14 with an e-value cut-off of 10-5 and parameters “--more-sensitive” and “--max-target 1”. 26 A similarity search was conducted against the complete non-redundant protein database from NCBI (as of July 27, 2021). Interactive visualisation plots to identify viral families of interest were generated using Krona v.2.7.1. 27
Genetic and phylogenetic analysis - To contextualise the identified viruses, a viral family database for the RNA-dependent RNA polymerase-encoding L segment was constructed using representative sequences from the Orthohantavirus, Mobatvirus, Loanvirus, and Thottimvirus genera available in GenBank (as of January 16th, 2024). Nucleotide sequences were aligned based on amino acid information using MUSCLE v.3.8.425 within Aliview v.2019. 28 , 29 Regions of the alignment containing 10% or more gaps were removed with TrimAl v1.4.rev15. 30 Maximum likelihood phylogeny (MLP) was inferred using IQ-TREE 2.1.4-beta, with the best-fit model determined by ModelFinder. 31 , 32 Node support was calculated using the SH-like approximate likelihood ratio test (SH-aLRT) and Ultrafast Bootstrap (UFBoot). 33 , 34 The phylogenetic tree was visualised using ggtree v.3.10 in R v.4.3.2. 35 Identity matrices of nucleotide and amino acid sequences were computed using Bio3D v.2.4-4. 36 A comprehensive list of the utilised sequences, along with the described alignment and tree, is available in Supplementary data (2.8MB, pdf) (Table A-B). Identity matrices of nucleotides and amino acids can be found in the mentioned Supplementary data (2.8MB, pdf) . Accession numbers are pending and will be provided during the review process prior to publication.
RESULTS
Hantavirus detection - Screening of 97 samples resulted in the amplification of a partial hantaviral L-segment (412 bp) in lung samples from five frugivorous bats, C. perspicillata (GenBank accession number PP258966, PP258967, PP258968, PP258969 and PP258970), comprising 20 individuals (25%). Only one kidney sample yielded successful amplification. Among the samples, three animals were male (60%) and two were female (40%). No positive RT-PCR results were obtained for the other species investigated, including abundant species such as Artibeus cinereus, A. planirostris, and A. lituratus (Table I).
TABLE I. Species abundance of bats collected in the Guaribas Biological Reserve, Brazil.
| Family | Species | Abundance | Individuals tested by RT-PCR |
| Phyllostomidae | Artibeus cinereus | 39 | 19 |
| Artibeus lituratus | 19 | 17 | |
| Artibeus planirostris | 26 | 22 | |
| Carollia perspicillata | 90 | 20 | |
| Desmodus rotundus | 02 | 02 | |
| Glossophaga soricina | 12 | 11 | |
| Platyrrhinus lineatus | 08 | 03 | |
| Vespertilionidae | Myotis sp. | 03 | 03 |
| Total | 199 | 97 |
RT-PCR: reverse transcription-polymerase chain reaction.
Viral metagenomics yielded a total of 2.212.312 reads. After size and quality filtering, 1,948,462 reads were aligned against the host genome, leaving 453,483 reads for de novo assembly and taxonomic identification. Among the 106,977 reads identified, 855 were recognised as viruses (0.8%), including 10 reads belonging to the Hantaviridae family. De novo assembly generated 73,769 contigs (ranging from 55 to 16,060 nucleotides), with three contigs identified as Hantaviridae. Partial L segment fragment (260nt; PQ389507.1) and two M segment fragments (255 nt and 237 nt; PQ412688) showing 87.40% and 83% of identity with Buritiense virus RNA-dependent RNA polymerase gene (OR684449) and Xuan Son virus glycoprotein gene (KU976427.2), respectively. However, retrieval of the complete genome was not achievable via metagenomic analysis, likely due to various factors such as low virus titres in the examined organs, virus RNA degradation caused by the TRIzolTM reagent (Invitrogen, San Diego, USA), tissue preservation methods, or the absence of viral enrichment steps in the sample processing during the viral metagenomics protocol.
Genetic and phylogenetic analysis - Pairwise alignment and comparison of a 412-nucleotide (138 amino acid) region of the L-segment revealed that the five C. perspicillata sequences analysed were highly similar, with nucleotide identity ranging from 94.9 to 99% and amino acid identity ranging from 91.7 to 99.2%. Comparative analyses of the L-partial sequences with other representative hantaviruses available in GenBank showed 55.6%-75% nucleotide sequence identity with other bat-borne hantaviruses, and most Soricomorpha (Table II). Sequences from Seba’s short-tailed bats exhibited < 76% (nt) and < 81.7% (aa) sequence similarity in the L-partial segment compared to all known hantaviruses, showing the highest degree of identity (76% nt and 81.7% aa) with Kiwira virus. However, these newly discovered strains are closely related to HantaV-1/hantavirus and Buritiense strains (84.2% - 89.4% nt and 91.5 - 100% aa identities) obtained from Carollia spp. collected in Bolivia and Brazil, based on partial L-segment sequences available in GenBank (Table II). These findings reveal a potentially novel bat-borne hantavirus, tentatively named MGPV.
TABLE II. Pairwise identity between amino acid and nucleotide partial sequences from Mamanguape virus and their closest relatives’ hantaviruses.
| Virus/%* | MAMANGUAPE PP258969.1 | MAMANGUAPE PP258967.1 | MAMANGUAPE PP258970.1 | BURITIENSE | MOUYASSUÉ | KIWIRA | MAMANGUAPE PP258966.1 | MAMANGUAPE PP258968.1 | HNTV1_BOL | HNTV1_BRA | HNTV1_BRA | HNTV2_MEX | HNTV2_MEX | HNTV3_MEX | BRNO | LONGQUAN | QUEZON | ROBINA |
| MAMANGUAPE PP258969.1 | - | 99,3% | 96,0% | 87,3% | 70,2% | 76,0% | 98,9% | 98,9% | 89,4% | 87,8% | 87,8% | 84,0% | 84,4% | 72,2% | 73,5% | 73,5% | 70,2% | 64,7% |
| MAMANGUAPE PP258967.1 | 98,9% | - | 94,9% | 87,1% | 69,4% | 74,4% | 99,2% | 98,9% | 88,0% | 87,5% | 87,5% | 82,6% | 82,3% | 71,2% | 74,4% | 73,3% | 71,9% | 64,5% |
| MAMANGUAPE PP258970.1 | 95,6% | 92,7% | - | 84,2% | 66,9% | 72,8% | 95,6% | 95,3% | 86,0% | 84,3% | 84,3% | 79,5% | 79,2% | 68,9% | 71,1% | 71,1% | 68,6% | 63,6% |
| BURITIENSE | 98,9% | 99,2% | 92,5% | - | 70,5% | 73,8% | 87,5% | 87,1% | 85,8% | 92,9% | 93,4% | 81,5% | 80,6% | 71,8% | 73,0% | 74,4% | 68,9% | 66,4% |
| MOUYASSUÉ | 82,6% | 80,2% | 75,8% | 80,2% | - | 71,3% | 70,3% | 70,0% | 68,4% | 68,7% | 69,2% | 67,8% | 68,1% | 65,8% | 71,6% | 70,8% | 67,5% | 66,7% |
| KIWIRA | 80,4% | 81,0% | 76,7% | 81,8% | 76,0% | - | 75,0% | 74,7% | 72,9% | 72,1% | 71,8% | 70,9% | 70,9% | 68,7% | 71,9% | 70,5% | 71,1% | 69,7% |
| MAMANGUAPE PP258966.1 | 98,9% | 99,2% | 92,5% | 100,0% | 80,0% | 81,7% | - | 99,7% | 88,3% | 87,7% | 87,7% | 82,6% | 82,3% | 71,8% | 74,4% | 72,8% | 72,0% | 64,4% |
| MAMANGUAPE PP258968.1 | 98,9% | 98,3% | 91,7% | 99,2% | 80,2% | 81,0% | 99,2% | - | 88,0% | 87,5% | 87,5% | 82,3% | 82,1% | 71,8% | 74,1% | 72,5% | 71,7% | 64,2% |
| HNTV1_BOL | 98,9% | 100,0% | 93,2% | 99,1% | 79,5% | 80,3% | 99,1% | 98,3% | - | 87,5% | 86,9% | 82,6% | 82,3% | 73,5% | 71,2% | 74,4% | 67,2% | 67,5% |
| HNTV1_BRA | 97,7% | 98,3% | 91,5% | 99,1% | 80,3% | 82,1% | 99,1% | 98,3% | 98,3% | - | 98,9% | 80,6% | 79,8% | 73,2% | 73,8% | 72,4% | 69,0% | 65,5% |
| HNTV1_BRA | 97,7% | 98,3% | 91,5% | 99,1% | 80,3% | 82,1% | 99,1% | 98,3% | 98,3% | 100,0% | - | 79,8% | 79,5% | 72,9% | 73,8% | 72,9% | 68,7% | 65,5% |
| HNTV2_MEX | 96,6% | 96,6% | 90,6% | 97,4% | 81,2% | 80,3% | 97,4% | 96,6% | 96,6% | 96,6% | 96,6% | - | 98,9% | 72,4% | 71,2% | 70,9% | 65,5% | 65,2% |
| HNTV2_MEX | 96,6% | 94,9% | 89,7% | 95,7% | 80,3% | 79,5% | 95,7% | 94,9% | 94,9% | 94,9% | 94,9% | 98,3% | - | 72,4% | 70,9% | 70,7% | 65,2% | 64,7% |
| HNTV3_MEX | 81,8% | 81,2% | 76,9% | 81,2% | 76,1% | 75,2% | 81,2% | 81,2% | 81,2% | 82,1% | 82,1% | 81,2% | 80,3% | - | 67,8% | 68,9% | 71,0% | 66,4% |
| BRNO | 78,3% | 77,7% | 73,3% | 78,5% | 79,3% | 76,0% | 78,3% | 78,5% | 76,9% | 78,6% | 78,6% | 77,8% | 76,9% | 76,1% | - | 77,1% | 70,8% | 67,8% |
| LONGQUAN | 78,3% | 77,7% | 73,3% | 76,9% | 79,3% | 71,9% | 76,7% | 76,9% | 76,9% | 76,9% | 76,9% | 75,2% | 74,4% | 76,9% | 81,0% | - | 66,9% | 70,2% |
| QUEZON | 75,8% | 77,5% | 72,3% | 78,3% | 78,3% | 78,3% | 78,2% | 77,5% | 76,7% | 78,4% | 78,4% | 77,6% | 77,6% | 76,7% | 76,7% | 75,0% | - | 67,8% |
| ROBINA | 71,7% | 73,6% | 70,8% | 72,7% | 75,2% | 76,9% | 72,5% | 71,9% | 72,6% | 72,6% | 72,6% | 71,8% | 70,9% | 74,4% | 73,6% | 71,9% | 80,0% | - |
*Nucleotide (above the diagonal) and amino acid (below the diagonal) sequences are presented with their respective percentage values. BOL: Bolivia; BRA: Brazil; MEX: Mexico.
The MLP analysis based on partial L-segment sequences reveals that the sequences obtained from the five C. perspicillata (Mamanguape virus) specimens form a strongly monophyletic clade (SH-aLRT = 98.4, UFBoot = 95), closely related to strains from other Carollia samples, particularly Buritiense (Fig. 2). Notably, this clade is distinct and does not fall within other known clades of bat Hantaviruses. The Mamanguape virus sequences exhibit significant genetic divergence from other bat-, insectivore, -and rodent-borne hantaviruses. Despite the inability to amplify the complete genome, the partial genetic and phylogenetic data suggest that the newly discovered virus strain, designated as Mamanguape, likely represents a distinct lineage within the class of bat-borne hantaviruses.
Fig. 2: maximum likelihood tree illustrating the diversity of Hantaviruses, particularly focusing on novel sequences discovered in Seba’s short-tailed bats. The phylogeny inference was conducted using an alignment spanning 354 bp and comprising 106 sequences. The analysis employed the general time reversible model with invariable sites and gamma distribution with four rate categories (GTR+F+I+G4). To enhance visualisation, the tree was midpoint-rooted. Node supports are colour-coded, with black shapes indicating nodes with support ≥ 75 in SH-like approximate likelihood ratio test (SH-aLRT) and ultrafast bootstrap analyses, grey for SH-aLRT-only support, white for ultrafast bootstrap-only support, and unmarked nodes for support < 75 in both parameters. The tips of the tree are colour-coded based on known host information: light-blue represents Carollia perspicillata found in this study, dark blue indicates other known viruses found in the Carollia genus, purple denotes viruses found in other bats, red signifies rodents, and orange denotes shrews and moles. The grey-highlighted region within the tree represents the lineage of bat hantaviruses, with a magnified view provided on the right. Within this clade, the monophyletic Carollia hantavirus is highlighted in aqua-blue.

DISCUSSION
In this study, we identified a distinct bat-borne hantavirus from a bat reservoir in Brazil, C. perspicillata, captured in the Guaribas Biological Reserve, located in the Atlantic Rainforest biome in the State of Paraíba. Seba’s short-tailed bat (C. perspicillata) has an extensive geographic distribution spanning from Mexico throughout tropical South America, including all biomes of Brazil, 37 , 38 and extending southwards to Paraguay and southern Bolivia. 39 This primarily frugivorous bat thrives in tropical lowland humid forests but also adapts well to human-modified landscapes. It is abundant in semideciduous tropical forests surrounded by sugarcane monoculture, such as the Guaribas Biological Reserve, as well as in urban forest fragments and human settlements showcasing its behavioural plasticity. 40 , 41 In such contexts, the most common species often serve as competent hosts for pathogen transmission, potentially altering the dynamics of transmission of pathogens that cause known endemic diseases. 42 The presence of bats in urban areas increases the probability of contact with humans and domestic animals, particularly cats. As observed with the rabies virus, 43 this interaction can amplify or alter the pathogen transmission cycle. 44
To date, there have been no reports of bat-borne hantaviruses associated with human cases, although the potential spillover of the MGPV from C. perspicillata to humans warrants consideration due to several factors: (1) their habitat associations with disturbed areas, (2) their opportunistic and generalist habits, (3) their tendency to roost in urban areas, (4) their high abundance, and (5) the high hantavirus prevalence of C. perspicillata (25%) reported in the study area. In this context, comparative sequence analysis of hantavirus patients and bat-borne hantaviruses described in the same area should help clarify the implications, if any, of these newfound hantaviruses as etiologic agents for human disease in Brazil. Su et al. emphasise that a bat airway organoid system (culture model) might be a useful tool to analyse such questions, 45 including virus infectivity and interspecies transmission. Moreover, specific serological assays using bat-borne hantaviruses as antigens, virus neutralisation tests using bat-borne hantavirus, and the surveillance of patients with an epidemiological history of contact with bats (exposed subjects) should help clarify the impact of these hantaviruses on human health.
According to our data, five C. perspicillata individuals tested positive for hantavirus, of which three (60%) were males, all adults, including a lactating female. Studies on rodent-borne hantaviruses suggest that older individuals have a higher likelihood of infection due to longer exposure periods to the virus. 46 , 47 , 48 Additionally, dominant males of C. perspicillata, are known to have harems of ten or more females, exhibit behaviours conducting to horizontal viral transmission, such as gregarious and grooming behaviours. This behaviour facilitates transmission via aerosolised excreta and secretions, the primary route of hantavirus transmission among. 49 , 50 The detection of hantavirus RNA in the kidney of one specimen further suggests a possible excretion route. Our study found hantavirus exclusively in C. perspicillata individuals, indicating potential host specificity. Similar host specificity has been suggested in studies conducted in Europe and Asia involving other bat (Nyctalus noctula: Vespertilionidae) and QZNV and Geoffroy’s rousettes (Rousettus amplexicaudatus: Pteropodidae) species. 8 , 51 Further ecological studies with continuous long-term data collection are necessary to elucidate the role of other bat species and enhance our understanding of bat-borne hantavirus ecology in Brazil.
The MGPV sequences of C. perspicillata shared 68.9-89.4% and 76.9-100% identities at the nucleotide and amino acid levels, respectively, with Carollia-associated sequences (data only available at GenBank: KX442773; KX442793; KX442794; KX442772; KX442771; KX442770; OR684449.1), based on the L (412 nt) segment. This similarity was expected as MGPV, Hanta-V and Buritiense strains belong to the same bat genera, supporting the cospeciation hypothesis and indicating stable circulation of Mamanguape viruses in C. perspicillata bats across their geographic distribution (Fig. 3). However, compared to well-recognised bat-borne hantaviruses, Brazilian sequences showed the highest similarity (approximately 81% aa) with Kiwira virus recently described in Free Tailed bat (Mops condylurus) from East and Central Africa. 8 , 9 , 52
Fig. 3: distribution map of Carollia perspicillata in the Americas in grey colour. 38 Circle 1 represents the sequences of collection points of C. perspicillata samples positive for hantavirus which were included in this study. Triangles 2 represents the Buritiense strain (OR684449.1), 3 and 4 represent the areas where other hantaviruses were also detected in C. perspicillata (unpublished data).

Phylogenetic analysis placed the MGPV and Carollia-associated sequences in a well-supported monophyletic group, suggesting a highly divergent lineage composed of Brazilian and potentially South American bats. The unsuccessful attempt to obtain the complete genome amplification of MGPV may be attributed to several factors, including the high diversity of bat-borne hantavirus sequences, low virus titre, or RNA degradation due to improper tissue preservation, as demonstrated in previous related studies. 53 , 54 , 55 , 56 , 57 Our ongoing efforts involve complete sequencing and phylogenetic analyses of the L segment, as well as the S and M segments, to better characterise MGPV sequences. Based on Pairwise Evolutionary Distance values (calculated from the complete concatenated sequences), we aim to determine its taxonomic classification (species or new genera within the subfamily Mammantavirinae) according to the current international committee on taxonomy of viruses guidelines. Future specimen collection in follow-up studies within the same region, along with molecular approaches such as genome walking, will not only address this issue but also enhance our understanding of the ecology and virus-host interactions of MGPV. In summary, we present a presumably novel hantavirus provisionally named MGPV, detected in Seba’s short-tailed bat (C. perspicillata, Phyllostomidae) from Brazil. Further analyses are underway, but our results suggest that the described sequences represent a novel hantavirus, with Seba’s short-tailed bat C. perspicillata serving as the natural host for this virus, which is potentially distributed throughout South America.
Ethics issues - The study was conducted in accordance with the Declaration of Helsinki, and approved by the institutional Ethics Committee on Animal Research, the Ethics Committee of the Oswaldo Cruz Foundation (FIOCRUZ) CEUA LW-81/12, P-42 /12.1. Permits for field collection were granted by IBAMA/Sisbio (Brazilian Institute of Environment and Renewable Natural Resources) under process number IBAMA/Sisbio No. 41683.
ACKNOWLEDGEMENTS
To the Guaribas Biological Reserve team, especially Getulio Freitas and Jorge “Julião” Nascimento for all the support during sampling design and field work.
Funding Statement
CNPq (Rede BioM.A - process number: 457524/2012-0), FAPERJ (APQ1 - process number E_27/211.553/2021). This study was financed in part by the CAPES (Finance Code 001)
Financial support: CNPq (Rede BioM.A - process number: 457524/2012-0), FAPERJ (APQ1 - process number E_27/211.553/2021). This study was financed in part by the CAPES (Finance Code 001).
How to cite: Souza PJ, Fernandes J, Coelho TA, Cosentino M, D’arc M, Alves PDG, et al. A newly bat-borne hantavirus detected in Seba’s short-tailed bats (Carollia perspicillata) in the Brazilian Atlantic Rainforest. Mem Inst Oswaldo Cruz. 2024; 119: e240132.
REFERENCES
- 1.Hjelle B, Torres-Pérez F. Hantaviruses in the Americas and their role as emerging pathogens. Viruses. 2010;2(12):2559–2586. doi: 10.3390/v2122559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Vial PA, Ferrés M, Vial C, Klingström J, Ahlm C, López R. Hantavirus in humans a review of clinical aspects and management. Lancet Infect Dis. 2023;23(9):e371–e382. doi: 10.1016/S1473-3099(23)00128-7. [DOI] [PubMed] [Google Scholar]
- 3.Kuhn JH, Adkins S, Alioto D, Alkhovsky SV, Amarasinghe GK, Anthony SJ. 2020 taxonomic update for phylum Negarnaviricota (Riboviria Orthornavirae), including the large orders Bunyavirales and Mononegavirales. Arch Virol. 2020;165(12):3023–3072. doi: 10.1007/s00705-020-04731-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kuhn JH, Schmaljohn CS. A brief history of bunyaviral family. Hantaviridae. diseases. 2023;11(1):38–38. doi: 10.3390/diseases11010038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bradfute SB, Calisher CH, Klempa B, Klingström J, Kuhn JH, Laenen L. ICTV virus taxonomy profile Hantaviridae 2024. J Gen Virol. 2024;105(4):001975–001975. doi: 10.1099/jgv.0.001975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Weiss S, Witkowski PT, Auste B, Nowak K, Weber N, Fahr J. Hantavirus in bat, Sierra Leone. Emerg Infect Dis. 2012;18(1):159–161. doi: 10.3201/eid1801.111026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Arai S, Yanagihara R. Genetic diversity and geographic distribution of bat-borne Hantaviruses. Curr Issues Mol Biol. 2020;39:1–28. doi: 10.21775/cimb.039.001. [DOI] [PubMed] [Google Scholar]
- 8.Dafalla M, Orlowska A, Keles SJ, Straková P, Schlottau K, Jeske K. Hantavirus Brno loanvirus is highly specific to the common noctule bat (Nyctalus noctula) and widespread in Central Europe. Virus Genes. 2023;59(2):323–332. doi: 10.1007/s11262-022-01952-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Weiss S, Sudi LE, Düx A, Mangu CD, Ntinginya NE, Shirima GM. Kiwira virus, a newfound Hantavirus discovered in free-tailed bats (Molossidae) in East and Central Africa. Viruses. 2022;14(11):2368–2368. doi: 10.3390/v14112368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.dos Santos MB, Albuquerque NK, da Silva SP, da Silva FS, Dias DD, Mendes SB. A novel hantavirus identified in bats (Carollia perspicillata) in Brazil. Sci Rep. 2024;14(1):6346–6346. doi: 10.1038/s41598-024-56808-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.López-Aguirre C, Hand SJ, Laffan SW, Archer M. Phylogenetic diversity, types of endemism and the evolutionary history of New World bats. Ecography. 2018;41(12):1955–1966. [Google Scholar]
- 12.Sabino-Santos G, Jr, Maia FGM, Martins RB, Gagliardi TB, Souza WM, Muylaert RL. Natural infection of neotropical bats with hantavirus in Brazil. Sci Rep. 2018;8(1):9018–9018. doi: 10.1038/s41598-018-27442-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sabino-Santos G, Ferreira FF, Silva DJF, Machado DM, Silva SG, São Bernardo CS. Hantavirus antibodies among phyllostomid bats from the arc of deforestation in Southern Amazonia, Brazil. Trans Emerg Dis. 2020;67(3):1045–1051. doi: 10.1111/tbed.13442. [DOI] [PubMed] [Google Scholar]
- 14.Pasa JB, Arrais RC, Massara RL, Pereira G, de Azevedo FCC. Factors influencing the habitat use by ocelots in one of the last large Atlantic Forest remnants in southeastern Brazil. Ecol Evol. 2021;11(9):4631–4643. doi: 10.1002/ece3.7363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Paglia AP, Fonseca GAB, Rylands AB, Herrmann G, Aguiar LMS, Chiarello AG. Lista anotada dos mamíferos do Brasil. Belo Horizonte: Conservação Internacional; 2012. [Google Scholar]
- 16.Castelo-Branco DSCM, Nobre JA, Souza PRH, Diógenes EM, Guedes GMM, Mesquita FP. Role of Brazilian bats in the epidemiological cycle of potentially zoonotic pathogens. Microb Pathog. 2023;177:106032–106032. doi: 10.1016/j.micpath.2023.106032. [DOI] [PubMed] [Google Scholar]
- 17.Feijó A, Nunes H, Langguth A. Mamíferos da Reserva Biológica Guaribas, Paraíba, Brasil. Revista Nordestina de Biologia. 2016;24:57–74. [Google Scholar]
- 18.Gardner AL. Mammals of South America. Vol. 1. Marsupials, Xenarthrans, Shrews, and Bats. University of Chicago Press. 2007 [Google Scholar]
- 19.Diaz M, Solari S, Aguirre LF, Aguiar L, Barquez RM. Clave de identificación de los murciélagos de Sud América. Argentina: Editorial Magna; 2016. [Google Scholar]
- 20.Lemos ERS. D'Andrea PS . Trabalho de campo com animais: procedimentos, riscos e biossegurança. Rio de Janeiro: Fiocruz; 2014. [Google Scholar]
- 21.Klempa B, Fichet-Calvet E, Lecompte E, Auste B, Aniskin V, Meisel H. Novel hantavirus sequences in Shrew, Guinea. Emerg Infect Dis. 2007;13(3):520–522. doi: 10.3201/eid1303.061198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018 doi: 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv. 2013 doi: 10.48550/arXiv.1303.3997. [DOI] [Google Scholar]
- 24.Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25(14):1754–1760. doi: 10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Nurk S, Meleshko D, Korobeynikov A. Pevzner PA metaSPAdes: a new versatile metagenomic assembler Genome. Res. 2017;27(5):824–834. doi: 10.1101/gr.213959.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2015;12(1):59–60. doi: 10.1038/nmeth.3176. [DOI] [PubMed] [Google Scholar]
- 27.Ondov BD, Bergman NH, Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011;12(1):385–385. doi: 10.1186/1471-2105-12-385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Edgar RC. MUSCLE a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics. 2004;5:113–113. doi: 10.1186/1471-2105-5-113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Larsson A. AliView a fast and lightweight alignment viewer and editor for large datasets. Bioinformatics. 2014;30(22):3276–3278. doi: 10.1093/bioinformatics/btu531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009 doi: 10.1093/bioinformatics/btp348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder fast model selection for accurate phylogenetic estimates. Nat Methods. 2017;14(6):587–589. doi: 10.1038/nmeth.4285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32(1):268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies assessing the performance of PhyML 3.0. Syst Biol. 2010;59(3):307–321. doi: 10.1093/sysbio/syq010. [DOI] [PubMed] [Google Scholar]
- 34.Minh BQ, Nguyen MAT, von Haeseler A. Ultrafast Approximation for phylogenetic bootstrap. Mol Biol Evol. 2013;30(5):1188–1195. doi: 10.1093/molbev/mst024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Yu G, Smith DK, Zhu H, Guan Y. Lam TT ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data Methods Ecol. Evol. 2017;8(1):28–36. [Google Scholar]
- 36.Grant BJ, Rodrigues APC, ElSawy KM, McCammon JA, Caves LSD. Bio3d an R package for the comparative analysis of protein structures. Bioinformatics. 2006;22(21):2695–2696. doi: 10.1093/bioinformatics/btl461. [DOI] [PubMed] [Google Scholar]
- 37.Peracchi AL, Lima IP, Nogueira MR, Ortencio H., Filho Reis NR, Peracchi AL, Pedro WA, Lima IP. orgs . Mamíferos do Brasil. 1. Londrina: EDIFURB; 2006. Ordem Chiroptera; pp. 153–230. [Google Scholar]
- 38.Marsh CJ, Sica YV, Burgin CJ, Dorman WA, Anderson RC. del Toro Mijares I Expert range maps of global mammal distributions harmonised to three taxonomic authorities. J Biogeogr. 2022;49(5):979–992. doi: 10.1111/jbi.14330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Solari S, Medellín R, Rodríguez-Herrera B, Tavares VC, Garbino G, Camacho MA. Wilson DE, Mittermeier RA. Handbook of the mammals of the world. Barcelona: Lynx Ediciones; 2019. Family Phyllostomidae; pp. 444–583. [Google Scholar]
- 40.Pacheco SM, Sodré M, Gama AR, Bredt A, Cavallini EM, Marques RV. Morcegos Urbanos status do conhecimento e plano de ação para a conservação no Brasil. Chiropt Neotrop. 2010;16:629–647. [Google Scholar]
- 41.Nunes H, Rocha FL, Cordeiro-Estrela P. Bats in urban areas of Brazil roosts, food resources and parasites in disturbed environments. Urban Ecosyst. 2017;20(4):953–969. doi: 10.1007/s11252-016-0632-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Foley JA, DeFries R, Asner GP, Barford C, Bonan G, Carpenter SR. Global consequences of land use. Science. 2005;309(5734):570–574. doi: 10.1126/science.1111772. [DOI] [PubMed] [Google Scholar]
- 43.Coelho-Costa MLM, Ribeiro PCB, Lima OC, Barbosa VS, Vilar EM, Cordeiro-Estrela P. Investigação e intervenção das Vigilâncias Epidemiológica e Ambiental da Prefeitura do Recife, Pernambuco, Brasil no caso de óbito por raiva humana em 2017. Medicina Veterinária (UFRPE) 2023;17(4):230–240. [Google Scholar]
- 44.Plowright RK, Eby P, Hudson PJ, Smith IL, Westcott D, Bryden WL. Ecological dynamics of emerging bat virus spillover. Proc Biol Sci. 2015;282(1798):20142124–20142124. doi: 10.1098/rspb.2014.2124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Su A, Yan M, Pavasutthipaisit S, Wicke KD, Grassl GA, Beineke A. Infection studies with airway organoids from Carollia perspicillata indicate that the respiratory epithelium is not a barrier for interspecies transmission of influenza viruses. Microbiol Spectr. 2023;11(2):e0309822. doi: 10.1128/spectrum.03098-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Abbott KD, Ksiazek TG, Mills JN. Long-term hantavirus persistence in rodent populations in Central Arizona. Emerg Infect Dis. 1999;5(1):102–112. doi: 10.3201/eid0501.990112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Mills JN, Ksiazek TG, Peters CJ. Childs JE long-term studies of hantavirus reservoir populations in the southwestern United States: a synthesis Emerg Infect. Dis. 1999;5(1):135–142. doi: 10.3201/eid0501.990116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Cantoni G, Padula P, Calderón G, Mills J, Herrero E, Sandoval P. Seasonal variation in prevalence of antibody to hantaviruses in rodents from southern Argentina. Trop Med Int Health. 2001;6(10):811–816. doi: 10.1046/j.1365-3156.2001.00788.x. [DOI] [PubMed] [Google Scholar]
- 49.Lee HW, Seong IW, Baek LJ, Song CK, Lee PW. Intraspecific transmission of hantaan virus, etiologic agent of Korean hemorrhagic fever, in the rodent Apodemus agrarius. Am J Trop Med Hyg. 1981;30(5):1106–1112. doi: 10.4269/ajtmh.1981.30.1106. [DOI] [PubMed] [Google Scholar]
- 50.Safronetz D, Lindsay R, Dibernardo A, Hjelle B, Xiao R, Artsob H. A Preliminary study of the patterns of sin nombre viral infection and shedding in naturally infected deer mice (Peromyscus maniculatus ) Vector-Borne Zoonotic Dis. 2005;5(2):127–132. doi: 10.1089/vbz.2005.5.127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Arai S, Taniguchi S, Aoki K, Yoshikawa Y, Kyuwa S, Tanaka-Taya K. Molecular phylogeny of a genetically divergent hantavirus harbored by the Geoffroy's rousette (Rousettus amplexicaudatus), a frugivorous bat species in the Philippines. Infect Genet Evol. 2016;45:26–32. doi: 10.1016/j.meegid.2016.08.008. [DOI] [PubMed] [Google Scholar]
- 52.Straková P, Dufkova L, Sirmarová J, Salát J, Bartonicka T, Klempa B. Novel hantavirus identified in European bat species Nyctalus noctula. Infect Genet Evol. 2017;48:127–130. doi: 10.1016/j.meegid.2016.12.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Arai S, Kikuchi F, Bawm S, Son N, Lin K, Tú V. Molecular phylogeny of Mobatviruses (Hantaviridae) in Myanmar and Vietnam. Viruses. 2019;11(3):228–228. doi: 10.3390/v11030228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Cirkovic V, Stamenkovic G, Jovanovic J, Siljic M, Paunovic M, Stanojevic M. Failure to detect viral RNA in bat samples collected in the Balkan region. Trop Biomed. 2016;33(4):780–785. [PubMed] [Google Scholar]
- 55.Song JW, Kang HJ, Song KJ, Truong TT, Bennett SN, Arai S. Newfound hantavirus in Chinese mole shrew, Vietnam. Emerg Infect Dis. 2007;13(11):1784–1787. doi: 10.3201/eid1311.070492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Sumibcay L, Kadjo B, Gu SH, Kang HJ, Lim BK, Cook JA. Divergent lineage of a novel hantavirus in the banana pipistrelle (Neoromicia nanus) in Côte d'Ivoire. Virol J. 2012;9(1):34–34. doi: 10.1186/1743-422X-9-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Zana B, Kemenesi G, Buzás D, Csorba G, Görföl T, Khan F. Molecular Identification of a novel hantavirus in Malaysian bronze tube-nosed bats (Murina aenea) Viruses. 2019;11(10):887–887. doi: 10.3390/v11100887. [DOI] [PMC free article] [PubMed] [Google Scholar]
