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Microbiota dynamics analysis

Analysis of the composition and function of the microbiome, which consists of thousands to tens of thousands of constituent species.
Estimate changes in microbiota due to temporal and environmental factors.

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Microorganisms/Knowledge Collection

Fungi are considered to be more important than bacteria in terms of quantity and quantity in outdoor ecosystems, but their industrial use has not progressed enough to match their importance. We will build a strain (material) collection that includes not only bacteria, but also fungi that are full of unknown possibilities, and utilize knowledge assets such as databases and handling know-how.

KIN2523_1per4PDA table.jpg
ATS3046_1per4PDA_1week_1.jpg
ATS20063069_210213_after passage_all.JPG
ATS3031_1per4PDA_1week_1.jpg
Confrontation culture_KGW3309xATS3072_1.jpg
NWH20082018_210227_all.JPG
ATS3048_1per4PDA_1week_1.jpg
ORG-R05_ORG-R05_1per4PDA_210807_Day10_Back (2).jpg
NSM-R20102403_all.JPG
Confrontation culture_ATS3046xHOK-R05_1.jpg

Outdoor x informatics

Possessing unique technologies for field surveys and sample collection and processing that affect the quality of field microbiome analysis. By optimizing the survey/sampling method for each survey target, we will analyze the information obtained by DNA analysis with big data and obtain highly reliable scientific knowledge. In addition, by integrating the knowledge obtained from various field surveys and observations of ecosystems with the results of analysis of ecosystem networks using IT, we will conduct backcasting on the structure and function control of ecosystems, which has been considered difficult even by cutting-edge science. Opens up avenues for optimization with

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​​Technology Introduction

Plant-microbe symbiosis network analysis

Information obtained by large-scale DNA analysis is collated with a microbial DNA database to estimate compatibility between plant species and bacteria/fungi. By analyzing the underground symbiotic network of soil, we aim to realize back-casting guidance for terrestrial ecosystems.

IMGP0121.JPG

Microbiota dynamics analysis

Analysis of the composition and function of the microbiome, which consists of thousands to tens of thousands of constituent species.
Estimate changes in microbiota due to temporal and environmental factors.

sunlit_web.png

Toju et al. (2017) Nature Ecoloby & Evolution

Toju et al. (2018) Microbiome

Microorganisms/Knowledge Collection

Fungi are considered to be more important than bacteria in terms of quantity and quantity in outdoor ecosystems, but their industrial use has not progressed enough to match their importance. We will build a strain (material) collection that includes not only bacteria, but also fungi that are full of unknown possibilities, and utilize knowledge assets such as databases and handling know-how.

KIN2523_1per4PDA table.jpg
ATS3046_1per4PDA_1week_1.jpg
ATS20063069_210213_after passage_all.JPG
ATS3031_1per4PDA_1week_1.jpg
Confrontation culture_KGW3309xATS3072_1.jpg
NWH20082018_210227_all.JPG
ATS3048_1per4PDA_1week_1.jpg
ORG-R05_ORG-R05_1per4PDA_210807_Day10_Back (2).jpg
NSM-R20102403_all.JPG
Confrontation culture_ATS3046xHOK-R05_1.jpg

Outdoor x Informatics

Possessing unique technologies for field surveys and sample collection and processing that affect the quality of field microbiota analysis. By optimizing the survey/sampling method for each survey target, we will analyze the information obtained by DNA analysis with big data and obtain highly reliable scientific knowledge. In addition, by integrating the knowledge obtained from various field surveys and observations of ecosystems with the results of analysis of ecosystem networks using IT, we will conduct backcasting on the structure and function control of ecosystems, which has been considered difficult even by cutting-edge science. Opens up avenues for optimization with

IMG_1293.jpg
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