• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2022 Fiscal Year Annual Research Report

Microbiome mining: machine learning for discovery of genetic dark matter, metabolic pathways, and ecological processes from metagenomes

Research Project

Project/Area Number 18H03367
Research InstitutionNational Institute of Advanced Industrial Science and Technology

Principal Investigator

延 優 (NOBUMASARU・KONISHI)  国立研究開発法人産業技術総合研究所, 生命工学領域, 主任研究員 (40805644)

Project Period (FY) 2018-04-01 – 2023-03-31
KeywordsBioinformatics / Methanogenesis / Archaea
Outline of Annual Research Achievements

Through phylogenetic analyses, we have identified the origin of genes encoding proteins that mediate one modern ability (degradation of artificial compounds/xenobiotics) and one ancient ability (generation of methane). While we found multiple origins for xenobiotic degradation of the same compounds in extant bacterial families, we found a single origin for methane production prior to the emergence of archaea. The latter discovery involved tracing of catabolic and anabolic genes and enzyme-independent activities of cofactors central to catabolism. We have also traced the evolution of non-methane production related genes in Archaea, showing how certain functions evolved alongside methane production.

Research Progress Status

令和4年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和4年度が最終年度であるため、記入しない。

  • Research Products

    (1 results)

All 2023

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results)

  • [Journal Article] The origin and evolution of methanogenesis and<i>Archaea</i>are intertwined2023

    • Author(s)
      Mei Ran、Kaneko Masanori、Imachi Hiroyuki、Nobu Masaru K
    • Journal Title

      PNAS Nexus

      Volume: 2 Pages: -

    • DOI

      10.1093/pnasnexus/pgad023

    • Peer Reviewed / Open Access

URL: 

Published: 2023-12-25  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi