2022/05/06 更新

写真b

西田 暁史 (ニシダ アキフミ)

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助教

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  • 2022年04月
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    継続中

    東京農業大学   生命科学部   分子微生物学科   助教  

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  • 2016年
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    継続中
     

    日本微生物生態学会

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  • Alternative state transition control by regulating the spatial arrangement of organisms using a lattice model

    Shuuki Takizawa, Akifumi Nishida, Masayuki Yamamura

    Ecosphere ( Wiley )  13 ( 3 )   2022年03月  [査読有り]

    研究論文(学術雑誌)   共著

    DOI

  • Determinism of microbial community assembly by drastic environmental change

    Akifumi Nishida*, Mayuko Nakagawa, Masayuki Yamamura

    PLOS ONE ( Public Library of Science (PLoS) )  16 ( 12 ) e0260591 - e0260591   2021年12月  [査読有り]

    研究論文(学術雑誌)   共著

    Microbial community assembly is shaped by deterministic and stochastic processes, but the relationship between these processes and the environment is not understood. Here we describe a rule for the determinism and stochasticity of microbial community assembly affected by the environment using in silico, in situ, and ex situ experiments. The in silico experiment with a simple mathematical model showed that the existence of essential symbiotic microorganisms caused stochastic microbial community assembly, unless the community was exposed to a non-adapted nutritional concentration. Then, a deterministic assembly occurred due to the low number of microorganisms adapted to the environment. In the in situ experiment in the middle of a river, the microbial community composition was relatively deterministic after the drastic environmental change caused by the treated wastewater contamination, as analyzed by 16S rRNA gene sequencing. Furthermore, by culturing microbial communities collected from the upstream natural area and downstream urban area of the river in test tubes with varying carbon source concentrations, the upstream community assembly became deterministic with high carbon concentrations while the downstream community assembly became deterministic with low carbon concentrations. These results suggest that large environmental changes, which are different from the original environment, result in a deterministic microbial community assembly.

    DOI

  • A cross-sectional analysis from the Mykinso Cohort Study: establishing reference ranges for Japanese gut microbial indices

    Satoshi WATANABE, Shoichiro KAMEOKA, Natsuko O. SHINOZAKI, Ryuichi KUBO, Akifumi NISHIDA, Minoru KURIYAMA, Aya K. TAKEDA

    Bioscience of Microbiota, Food and Health ( BMFH Press )  40 ( 2 ) 123 - 134   2021年04月  [査読有り]

    研究論文(学術雑誌)   共著

    DOI

  • Usefulness of Machine Learning-Based Gut Microbiome Analysis for Identifying Patients with Irritable Bowels Syndrome

    Hirokazu Fukui (co-1st), Akifumi Nishida (co-1st), Satoshi Matsuda, Fumitaka Kira, Satoshi Watanabe, Minoru Kuriyama, Kazuhiko Kawakami, Yoshiko Aikawa, Noritaka Oda, Kenichiro Arai, Atsushi Matsunaga, Masahiko Nonaka, Katsuhiko Nakai, Masao Matsumoto, Shinji Morishita, Aya K. Takeda, Hiroto Miwa

    Journal of Clinical Medicine   9(8) ( 2403 )   2020年07月  [査読有り]

    研究論文(学術雑誌)   共著

    DOI

  • Effect of light wavelength on hot spring microbial mat biodiversity

    Akifumi Nishida, Vera Thiel, Mayuko Nakagawa, Shotaro Ayukawa, Masayuki Yamamura

    PLOS ONE ( Public Library of Science (PLoS) )  13 ( 1 ) e0191650 - e0191650   2018年01月  [査読有り]

    研究論文(学術雑誌)   共著

    DOI

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