Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5165-2025
https://doi.org/10.5194/essd-17-5165-2025
Data description paper
 | 
07 Oct 2025
Data description paper |  | 07 Oct 2025

A database of glacier prokaryotic genomes and genes for the Three Poles

Yongqin Liu, Songnian Hu, Tao Yu, Yingfeng Luo, Zhihao Zhang, Yuying Chen, Shunchao Guo, Qinglan Sun, Guomei Fan, Linhuan Wu, Juncai Ma, Keshao Liu, Pengfei Liu, Junzhi Liu, Ruyi Dong, and Mukan Ji

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Cited articles

Anderson, M. J.: Permutational Multivariate Analysis of Variance (PERMANOVA), Wiley StatsRef: Statistics Reference Online, https://doi.org/10.1002/9781118445112.stat07841, 2017. 
Anesio, A. M. and Laybourn-Parry, J.: Glaciers and ice sheets as a biome, Trends Ecol. Evol., 27, 219–225, https://doi.org/10.1016/j.tree.2011.09.012, 2012. 
Anesio, A. M., Lutz, S., Chrismas, N. A. M., and Benning, L. G.: The microbiome of glaciers and ice sheets, NPJ Biofilms Microbi., 3, 10, https://doi.org/10.1038/s41522-017-0019-0, 2017. 
Boetius, A., Anesio, A. M., Deming, J. W., Mikucki, J. A., and Rapp, J. Z.: Microbial ecology of the cryosphere: sea ice and glacial habitats, Nat. Rev. Microbiol., 13, 677–690, https://doi.org/10.1038/nrmicro3522, 2015. 
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Based on amplicon sequencing, metagenome sequencing, and cultivated genome sequencing, the dataset contains 64,510 bacterial and archaeal species, 62,595,715 unique genes, and 4,501 microbial genomes of bacteria and archaea from glaciers of the Antarctic, Arctic, Tibetan Plateau, and other alpine regions. The data can be useful to ecologists, microbiologists, and policymakers regarding microbial distribution, evolution, and biohazard assessment for glacier microbiome under global climate change.
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