Metagenomic Thermometer

Author:

Kurokawa Masaomi1ORCID,Higashi Koichi12ORCID,Yoshida Keisuke2,Sato Tomohiko3,Maruyama Shigenori3,Mori Hiroshi142ORCID,Kurokawa Ken123ORCID

Affiliation:

1. Genome Evolution Laboratory, National Institute of Genetics , 1111 Yata, Mishima, Shizuoka 411-8540 , Japan

2. Department of Biological Information, Tokyo Institute of Technology , 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550 , Japan

3. Earth-Life Science Institute, Tokyo Institute of Technology , 2-12-1 Ookayama, Meguro-ku, Tokyo 152 - 8551 , Japan

4. Genome Diversity Laboratory, National Institute of Genetics , 1111 Yata, Mishima, Shizuoka 411-8540 , Japan

Abstract

Abstract Various microorganisms exist in environments, and each of them has its optimal growth temperature (OGT). The relationship between genomic information and OGT of each species has long been studied, and one such study revealed that OGT of prokaryotes can be accurately predicted based on the fraction of seven amino acids (IVYWREL) among all encoded amino-acid sequences in its genome. Extending this discovery, we developed a ‘Metagenomic Thermometer’ as a means of predicting environmental temperature based on metagenomic sequences. Temperature prediction of diverse environments using publicly available metagenomic data revealed that the Metagenomic Thermometer can predict environmental temperatures with small temperature changes and little influx of microorganisms from other environments. The accuracy of the Metagenomic Thermometer was also confirmed by a demonstration experiment using an artificial hot water canal. The Metagenomic Thermometer was also applied to human gut metagenomic samples, yielding a reasonably accurate value for human body temperature. The result further suggests that deep body temperature determines the dominant lineage of the gut community. Metagenomic Thermometer provides a new insight into temperature-driven community assembly based on amino-acid composition rather than microbial taxa.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,General Medicine

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