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  1. 学術雑誌論文
  2. 4 自然科学

Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions

http://hdl.handle.net/10228/00007273
http://hdl.handle.net/10228/00007273
c936ccf4-b2ab-48bc-afd9-e87b16258f6f
名前 / ファイル ライセンス アクション
s12859-017-1696-7.pdf s12859-017-1696-7.pdf (528.6 kB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
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
言語 en
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 en
言語
言語 eng
著者 竹本, 和広

× 竹本, 和広

WEKO 24877
e-Rad 40512356
Scopus著者ID 35270356700
ORCiD 0000-0002-6355-1366
九工大研究者情報 100000509

en Takemoto, Kazuhiro

ja 竹本, 和広

ja-Kana タケモト, カズヒロ


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Aie, Kazuki

× Aie, Kazuki

WEKO 24878

en Aie, Kazuki
Aie, K

Search repository
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.
言語 en
書誌情報 en : BMC Bioinformatics

巻 18, p. 278, 発行日 2017-05-25
出版社
出版者 Biomed Central
言語 en
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1186/s12859-017-1696-7
ISSN
収録物識別子タイプ EISSN
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Resource http://creativecommons.org/licenses/by/4.0/
権利情報 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
著作権関連情報
権利情報Resource http://creativecommons.org/publicdomain/zero/1.0/
権利情報 The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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
URL https://hyokadb02.jimu.kyutech.ac.jp/html/100000509_ja.html
論文ID(連携)
値 10302343
連携ID
値 7792
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