研究者業績

Hidehiro Ishizawa

  (石澤 秀紘)

Profile Information

Affiliation
Assistant Professor, Graduate School of Engineering, University of Hyogo
Degree
博士(工学)(Mar, 2020, 大阪大学)

Contact information
ishizawahidehirogmail.com
Researcher number
90888265
ORCID ID
 https://orcid.org/0000-0003-0026-6039
J-GLOBAL ID
202001007668662740
researchmap Member ID
R000003339

Awards

 3

Papers

 27
  • Masahiro Takeo, Seiwa Ohtaki, Hidehiro Ishizawa
    Microbiology Resource Announcements, Dec 27, 2024  Peer-reviewed
    ABSTRACT We report the complete genome assembly of a hydroquinonesulfonate-assimilating bacterium, Delftia lacustris strain HQS1. This strain contains one circular chromosome (6,979,964 bp) and one circular plasmid (39,999 bp). The chromosomal sequence contained 6,359 coding sequences and a gene cluster involved in the degradation of gentisate, which is structurally similar to hydroquinonesulfonate.
  • Hidehiro Ishizawa, Yosuke Tashiro, Takashi Okada, Daisuke Inoue, Michihiko Ike, Hiroyuki Futamata
    Science of the Total Environment, 957 177717, Dec, 2024  Lead authorCorresponding author
  • Hidehiro Ishizawa, Minami Tada, Yosuke Tashiro, Masashi Kuroda, Daisuke Inoue, Hideo Dohra, Hiroyuki Futamata, Michihiko Ike
    Microbiology Resource Announcements, Mar, 2024  Peer-reviewedLead authorCorresponding author
    ABSTRACT We report the complete genome sequences of six bacterial strains isolated from a floating macrophyte, duckweed. These six strains, representing the six dominant families of the natural duckweed microbiome, establish a simple model ecosystem when inoculated onto sterilized duckweed. Their genomes would provide insights into community assembly in plant microbiome.
  • Hidehiro Ishizawa, Yosuke Tashiro, Daisuke Inoue, Michihiko Ike, Hiroyuki Futamata
    Proceedings of the National Academy of Sciences, 121(7), Feb 5, 2024  Peer-reviewedLead authorCorresponding author
    Understanding the assembly of multispecies microbial communities represents a significant challenge in ecology and has wide applications in agriculture, wastewater treatment, and human healthcare domains. Traditionally, studies on the microbial community assembly focused on analyzing pairwise relationships among species; however, neglecting higher-order interactions, i.e., the change of pairwise relationships in the community context, may lead to substantial deviation from reality. Herein, we have proposed a simple framework that incorporates higher-order interactions into a bottom–up prediction of the microbial community assembly and examined its accuracy using a seven-member synthetic bacterial community on a host plant, duckweed. Although the synthetic community exhibited emergent properties that cannot be predicted from pairwise coculturing results, our results demonstrated that incorporating information from three-member combinations allows the acceptable prediction of the community structure and actual interaction forces within it. This reflects that the occurrence of higher-order effects follows consistent patterns, which can be predicted even from trio combinations, the smallest unit of higher-order interactions. These results highlight the possibility of predicting, explaining, and understanding the microbial community structure from the bottom–up by learning interspecies interactions from simple beyond-pairwise combinations.
  • Masahiro Takeo, Ryota Ino, Seiwa Ohtaki, Mayu Kuroe, Yota Komaki, Hidehiro Ishizawa
    Japanese Journal of Water Treatment Biology, 60(4) 73-86, 2024  Peer-reviewed

Misc.

 7
  • 石澤秀紘
    化学と生物, 62(11) 523-525, Nov, 2024  
  • 石澤秀紘, 田代陽介, 井上大介, 池道彦, 二又裕之
    兵庫県立大学プレスリリース, Feb, 2024  
  • 奥田萌莉, 石澤秀紘, 大島裕明
    画像ラボ2024年2月号, Jan, 2024  Invited
  • Hidehiro Ishizawa, Yosuke Tashiro, Daisuke Inoue, Michihiko Ike, Hiroyuki Futamata
    bioRxiv, Jul 6, 2023  Lead authorCorresponding author
    Abstract The way to deal with higher-order effects (i.e., modification of pairwise interactions by third-party species) has been a major consideration in community ecology. Ignoring these effects is not in line with reality, yet fully considering them make the situation overly complex. Here, we propose a simple framework incorporating higher-order effects into a bottom-up community modeling, and assessed its validity using a seven-member synthetic bacterial community on a host plant, duckweed. Our findings revealed that actual interspecies interactions in community could not be predicted from pairwise co-culturing results; however, using information from trio combinations allowed for acceptable prediction. In addition, inclusion of four-, five-, and six-member combinations did not markedly enhance the prediction accuracy from trio-based prediction, suggesting that trio combinations, the smallest unit of higher-order effects, provide a reasonable baseline to unravel complex interaction networks. Building on this finding, we developed a prediction rule to estimate the structure of 4 – 7 member communities based on information from ≤ 3-member combinations, which yielded significantly better accuracy (relative mean square percentage errors of 22.7% – 61.2%) than pairwise-based model (53.5% – 185.2%). This highlights the possibility of establishing a quantitative link between the interspecies interactions and community structure, by observing beyond-pairwise combinations.
  • 石澤秀紘, 黒田真史, 井上大介, 池道彦
    大阪大学超高圧電子顕微鏡センター年報, 49, 2020  Invited

Books and Other Publications

 1

Research Projects

 6