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  Large‐scale genome sampling reveals unique immunity and metabolic adaptations in bats

Moreno Santillán, D. D., Lama, T. M., Gutierrez Guerrero, Y. T., Brown, A. M., Donat, P., Zhao, H., et al. (2021). Large‐scale genome sampling reveals unique immunity and metabolic adaptations in bats. Molecular Ecology. Advance online publication. doi:10.1111/mec.16027.

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 Creators:
Moreno Santillán, Diana D.1, Author
Lama, Tanya M.2, Author
Gutierrez Guerrero, Yocelyn T.3, Author
Brown, Alexis M.2, Author
Donat, Paul2, Author
Zhao, Huabin4, Author
Rossiter, Stephen J.5, Author
Yohe, Laurel R.6, Author
Potter, Joshua H.5, Author
Teeling, Emma C.7, Author
Vernes, Sonja C.8, 9, 10, Author           
Davies, Kalina T. J.5, Author
Myers, Eugene11, Author
Hughes, Graham M.7, Author
Huang, Zixia7, Author
Hoffmann, Federico12, Author
Corthals, Angelique P.13, Author
Ray, David A.1, Author
Dávalos, Liliana M.2, Author
Affiliations:
1Texas Tech University , Lubbock, TX, USA, ou_persistent22              
2Stony Brook University, Stony Brook, Stony Brook, NY, USA, ou_persistent22              
3Universidad Nacional Autónoma de México , Mexico City, Mexico, ou_persistent22              
4Wuhan University, Wuhan, China, ou_persistent22              
5Queen Mary University of London, London, UK, ou_persistent22              
6Yale University, New Haven, New Haven, CT, USA, ou_persistent22              
7University College Dublin, Dublin, Ireland, ou_persistent22              
8Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society, ou_2231636              
9Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
10The University of St Andrews, Fife, UK, ou_persistent22              
11Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany, ou_persistent22              
12Mississippi State University , Mississippi State, MS, USA, ou_persistent22              
13John Jay College of Criminal Justice, New York, NY, USA, ou_persistent22              

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 Abstract: Comprising more than 1,400 species, bats possess adaptations unique among mammals including powered flight, unexpected longevity, and extraordinary immunity. Some of the molecular mechanisms underlying these unique adaptations includes DNA repair, metabolism and immunity. However, analyses have been limited to a few divergent lineages, reducing the scope of inferences on gene family evolution across the Order Chiroptera. We conducted an exhaustive comparative genomic study of 37 bat species, one generated in this study, encompassing a large number of lineages, with a particular emphasis on multi-gene family evolution across immune and metabolic genes. In agreement with previous analyses, we found lineage-specific expansions of the APOBEC3 and MHC-I gene families, and loss of the proinflammatory PYHIN gene family. We inferred more than 1,000 gene losses unique to bats, including genes involved in the regulation of inflammasome pathways such as epithelial defense receptors, the natural killer gene complex and the interferon-gamma induced pathway. Gene set enrichment analyses revealed genes lost in bats are involved in defense response against pathogen-associated molecular patterns and damage-associated molecular patterns. Gene family evolution and selection analyses indicate bats have evolved fundamental functional differences compared to other mammals in both innate and adaptive immune system, with the potential to enhance anti-viral immune response while dampening inflammatory signaling. In addition, metabolic genes have experienced repeated expansions related to convergent shifts to plant-based diets. Our analyses support the hypothesis that, in tandem with flight, ancestral bats had evolved a unique set of immune adaptations whose functional implications remain to be explored.

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Language(s): eng - English
 Dates: 2021-06-19
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/mec.16027
 Degree: -

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Title: Molecular Ecology. Advance online publication
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0962-1083
CoNE: https://pure.mpg.de/cone/journals/resource/954925580119