研究課題
Using a gene-cassette-based approach, groups of genes that may interact together were identified using a machine-learning-based approach. Whether this concept held true for genomes for both cultured and uncultured organisms was evaluated. Metagenomic sequencing was performed for multiple samples to collect genomes for novel uncharacterized microbial lineages. Comparative genomics revealed gene clusters that were shared with and unique from cultured organisms. Further analysis is required to estimate the function of these genes. Specific analysis of genes conserved in a large uncultured archaeal clade revealed many genes including amino acid degradation and anaerobic metabolism at the common ancestor of an archaeal lineage deeply related to the origin of Eukaryotes.
1: 当初の計画以上に進展している
Research is proceeding as planned now.
In the coming year, the analysis will be expanded to genes involved in other high-profile metabolisms and catabolic pathways that may be unique to a specific domain (bacteria vs archaea). Targets include other genes for degrading non-aromatic xenobiotics and high-priority contaminants (detected frequently and persistent) with unknown genes and catabolic pathways that differentiate/distinguish bacteria and archaea. Bacteria and Archaea are distinct phylogenetic lineages, yet we understand very little about how they differ in physiology and way of life. Machine-learning-based approaches will be a novel approach to tackling this fundamental question in biology.
すべて 2020 2019
すべて 雑誌論文 (4件) (うち査読あり 4件、 オープンアクセス 1件)
mBio
巻: 11 ページ: e00408-20
10.1128/mBio.00408-20
Nature Ecology & Evolution
巻: 4 ページ: 534～542
10.1038/s41559-020-1125-6
Nature
巻: 577 ページ: 519～525
10.1038/s41586-019-1916-6
Scientific Reports
巻: 9 ページ: na
10.1038/s41598-019-46388-1
