Title: Clustering analysis of soil microbial community at global scale

Authors: Tetsushi Tanaka; André Freire Cruz; Naoaki Ono; Shigehiko Kanaya

Addresses: Division of Information Science, Nara Institute of Science and Technology, Nara, Japan ' Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan ' Division of Information Science, Nara Institute of Science and Technology, Nara, Japan ' Division of Information Science, Nara Institute of Science and Technology, Nara, Japan

Abstract: In the soil there are huge numbers of bacteria, and their function affect soil properties, also they are a part of the microbiome. How soil microbiomes are different throughout the world and how they relate to the region and the environment is of major interest. Recently, the development of next-generation sequencing has enabled researchers to accumulate metagenomic profile data, and perform large-scale and comprehensive microbiome analyses. In this study, we analysed the data from various environments worldwide using the microbiome database, the earth microbiome project (EMP). Based on UniFrac distance we performed the clustering analysis. The results interpreted according to the bacterial functions and characteristics. The group of bacteria related to paddy, vineyard, grasslands in Mongolian, forests, and biofilter. Furthermore, we investigated the relationship between clusters and climate zones. This research is expected to lead to knowledge of soil management based on the soil microbiome.

Keywords: bacteria; clustering analysis; Earth microbiome project; metagenome; microbiome; soil microbiology; UniFrac distance.

DOI: 10.1504/IJBRA.2022.10049742

International Journal of Bioinformatics Research and Applications, 2022 Vol.18 No.3, pp.219 - 233

Received: 14 Sep 2019
Accepted: 15 Mar 2020

Published online: 22 Aug 2022 *

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