Evidence map›Paper›PMID 42060194›Full record

ArticleArchives of microbiology2026

Bioinformatics-driven genome-wide identification of viral miRNAs in high spillover bat coronaviruses and their target genes in human.

Siddhant Mazumder, Shreya Kapoor, Hargunjeet Kaur, Jasmine Thakur, Ritvika Hasija, Kiran Daroch, Harshil Walia, Shubham Kumar, Dikshant Saini, Chander Jyoti Thakur and 2 more

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Article in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Siddhant Mazumder *Department of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Shreya Kapoor *Department of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Hargunjeet KaurCentre for Systems Biology and Bioinformatics, UIEAST, Panjab University, Chandigarh, 160014, India.
Jasmine ThakurDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Ritvika HasijaDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Kiran DarochDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Harshil WaliaDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Shubham KumarDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Dikshant SainiDepartment of Biotechnology, Panjab University, Chandigarh, U. T., 160014, India.
Chander Jyoti ThakurDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India.
Avneet SainiDepartment of Biophysics, Panjab University, Chandigarh, 160014, India.
Sandeep SainiDepartment of Bioinformatics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32 C, Chandigarh, 160030, India. sandeep.saini@ggdsd.ac.in.ORCID http://orcid.org/0000-0001-6822-4949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic spillover, driven by interspecies pathogen transmission, poses a significant global health threat. Recent studies highlight farmed fur animals as reservoirs for diverse coronaviruses, particularly Pipistrellus bat coronavirus HKU5 (Pi-Bat-CoV HKU5), which demonstrates high spillover potential. Additionally, the genetically distinct Pipistrellus bat coronavirus HKU5-CoV-2 (Pi-Bat HKU5-CoV-2), capable of utilizing the ACE2 receptor for entry into mammalian cells, further underscores the risk of bat-origin viruses infecting mammalian hosts. MicroRNAs (miRNAs) are small, endogenous non-coding RNAs that regulate post-transcriptional expression of mRNA. In this study, we utilized Vmir to predict pre-miRNAs for three bat coronaviruses, which were validated using a consensus-based approach using iMcRNA-PseSSC, iMcRNA-ExPseSSC, and iMiRNA-PseDPC. We identified 28, 34, and 40 pre-miRNAs for Pi-Bat-CoV HKU5, Pi-Bat HKU5-CoV-2, and Ty-Bat-CoV HKU4, respectively, exhibiting unique profiles distinct from SARS-CoV-2. Mature miRNAs were predicted with the MatureBayes server, and 549, 680, and 800 target genes corresponding to the Pi-Bat-CoV HKU5, Pi-Bat HKU5-CoV-2, and Ty-Bat-CoV HKU4 were identified using the miRDB database. Gene Ontology (GO) enrichment analysis was performed using Enrichr to explore associated biological functions. The enriched target genes were found to be involved in critical pathways such as serotonergic synapse, RNA degradation, Wnt signaling, and cell cycle regulation. Furthermore, the network analysis revealed important targeted hub genes such as SOX2, ESR1, FGF2, SMAD4, YWHAZ, PRKACB, MAPK1, EP300, and GSK3β, which have been implicated in the repression of viral replication and host defense against viral infection. The findings provide a framework for genomic surveillance of v-miRNA repertoires, offering insights into viral adaptation and spillover, but future in vitro and in vivo studies will be essential to validate these findings.

Indexed as

ChiropteraCoronavirusCoronavirus InfectionsMicroRNAsRNA, ViralAnimalsComputational BiologyGenome, ViralHumansSARS-CoV-2MicroRNAsRNA, ViralBatsCoronavirusesHub genesmiRNAPathway enrichmentSpillover

Identifiers

PMID42060194

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.