Single cell atlas for 11 non-model mammals, reptiles and birds
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The availability of viral entry factors is a prerequisite for the cross-species transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Large-scale single-cell screening of animal cells could reveal the expression patterns of viral entry genes in different hosts. However, such exploration for SARS-CoV-2 remains limited. Here, we perform single-nucleus RNA sequencing for 11 non-model species, including pets (cat, dog, hamster, and lizard), livestock (goat and rabbit), poultry (duck and pigeon), and wildlife (pangolin, tiger, and deer), and investigated the co-expression of ACE2 and TMPRSS2. Furthermore, cross-species analysis of the lung cell atlas of the studied mammals, reptiles, and birds reveals core developmental programs, critical connectomes, and conserved regulatory circuits among these evolutionarily distant species. Overall, our work provides a compendium of gene expression profiles for non-model animals, which could be employed to identify potential SARS-CoV-2 target cells and putative zoonotic reservoirs.
Originalsprog | Engelsk |
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Artikelnummer | 7083 |
Tidsskrift | Nature Communications |
Vol/bind | 12 |
Antal sider | 17 |
ISSN | 2041-1723 |
DOI | |
Status | Udgivet - 2021 |
Bibliografisk note
Funding Information:
This work was supported by the China National GeneBank (CNGB). Our project was financially supported by the National Key R&D Program of China (number 2019YFC1711000), National Key Research and Development Program of China (2016YFD0501300), Program for Innovative Research Team in the University of Ministry of Education of China (IRT_17R39), and Guangdong Provincial Key Laboratory of Genome Read and Write (Grant Number 2017B030301011). We thank the Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Guangdong, China. We thank Professor Wensheng Zhang (Suzhou University) and Professor Gang Cao (Huazhong Agricultural University) for creative discussion and informative feedback. Finally, we thank the China National GeneBank for producing the sequencing data.
Publisher Copyright:
© 2021, The Author(s).
ID: 288051826