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Given the importance of metabolic crosstalk between hosts and pathogens, a metabolic network-based reverse ecology method was proposed to infer these interactions. However, the validity of this method remains unclear because of the various explanations presented and the influence of potentially confounding factors that have thus far been neglected. Results We re-evaluated the importance of the reverse ecology method for evaluating host–pathogen interactions while statistically controlling for confounding effects using oxygen requirement, genome, metabolic network, and phylogeny data. Our data analyses showed that host–pathogen interactions were more strongly influenced by genome size, primary network parameters (e.g., number of edges), oxygen requirement, and phylogeny than the reserve ecology-based measures. Conclusion These results indicate the limitations of the reverse ecology method; however, they do not discount the importance of adopting reverse ecology approaches altogether. 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Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions
http://hdl.handle.net/10228/00007273
http://hdl.handle.net/10228/00007273c936ccf4-b2ab-48bc-afd9-e87b16258f6f
名前 / ファイル | ライセンス | アクション |
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s12859-017-1696-7.pdf (528.6 kB)
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Item type | 学術雑誌論文 = Journal Article(1) | |||||||||||
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公開日 | 2019-07-03 | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
タイトル | ||||||||||||
タイトル | Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions | |||||||||||
その他のタイトル | ||||||||||||
その他のタイトル | Limitations of a Metabolic Network-Based Reverse Ecology Method for Inferring Host–Pathogen Interactions | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
著者 |
竹本, 和広
× 竹本, 和広
WEKO
24877
× Aie, Kazuki |
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | Background Host–pathogen interactions are important in a wide range of research fields. Given the importance of metabolic crosstalk between hosts and pathogens, a metabolic network-based reverse ecology method was proposed to infer these interactions. However, the validity of this method remains unclear because of the various explanations presented and the influence of potentially confounding factors that have thus far been neglected. Results We re-evaluated the importance of the reverse ecology method for evaluating host–pathogen interactions while statistically controlling for confounding effects using oxygen requirement, genome, metabolic network, and phylogeny data. Our data analyses showed that host–pathogen interactions were more strongly influenced by genome size, primary network parameters (e.g., number of edges), oxygen requirement, and phylogeny than the reserve ecology-based measures. Conclusion These results indicate the limitations of the reverse ecology method; however, they do not discount the importance of adopting reverse ecology approaches altogether. Rather, we highlight the need for developing more suitable methods for inferring host–pathogen interactions and conducting more careful examinations of the relationships between metabolic networks and host–pathogen interactions. | |||||||||||
書誌情報 |
BMC Bioinformatics 巻 18, p. 278-1-278-9, 発行日 2017-05-25 |
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出版者 | Biomed Central | |||||||||||
DOI | ||||||||||||
関連タイプ | isIdenticalTo | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | info:doi/10.1186/s12859-017-1696-7 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 1471-2105 | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Copyright (c) The Author(s). 2017 | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Creative Commons Attribution 4.0 International License | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | http://creativecommons.org/licenses/by/4.0/ | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | Reverse ecology | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | Metabolic networks | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | Species–species interactions | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | Systems biology | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
査読の有無 | ||||||||||||
値 | yes | |||||||||||
研究者情報 | ||||||||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/100000509_ja.html | ||||||||||||
論文ID(連携) | ||||||||||||
10302343 | ||||||||||||
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7792 | ||||||||||||
資料タイプ | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | Journal Article | |||||||||||
著者別名 | ||||||||||||
姓名 | Takemoto, Kazuhiro | |||||||||||
言語 | en | |||||||||||
姓名 | 竹本, 和広 | |||||||||||
言語 | ja | |||||||||||
姓名 | タケモト, カズヒロ | |||||||||||
言語 | ja-Kana | |||||||||||
著者別名 | ||||||||||||
姓名 | Aie, K | |||||||||||
著者所属 | ||||||||||||
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan | ||||||||||||
著者所属 | ||||||||||||
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan | ||||||||||||
情報源 | ||||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1186/s12859-017-1696-7 | |||||||||||
関連名称 | https://doi.org/10.1186/s12859-017-1696-7 |