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  1. 学術雑誌論文

Exploratory analysis of multi‐trait coadaptations in light of population history

https://fra.repo.nii.ac.jp/records/99
https://fra.repo.nii.ac.jp/records/99
ea549b16-20b2-489f-be2f-a0b7d2738787
名前 / ファイル ライセンス アクション
10056219.pdf 10056219 (1.6 MB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2022-10-03
タイトル
タイトル Exploratory analysis of multi‐trait coadaptations in light of population history
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 admixture graph; coadaptation of interacting traits; exploratory analysis; history of range expansion; polygenic traits; population structure
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
著者 中道, 礼一郎

× 中道, 礼一郎

WEKO 958
e-Rad 70401255
ORCID 0000-0001-5789-7689

en Nakamichi, Reiichiro

ja 中道, 礼一郎


ja-Kana ナカミチ, レイイチロウ

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キタダ, シュウイチ

× キタダ, シュウイチ

en Kitada, Shuichi
Tokyo University of Marine Science and Technology

ja キタダ, シュウイチ
東京海洋大学

ja-Kana キタダ, シュウイチ

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キシノ, ヒロヒサ

× キシノ, ヒロヒサ

en Kishino, Hirohisa
The University of Tokyo

ja キシノ, ヒロヒサ
東京大学

ja-Kana キシノ, ヒロヒサ

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抄録
内容記述タイプ Abstract
内容記述 During the process of range expansion, populations encounter a variety of environments. They respond to the local environments by modifying their mutually interacting traits. Common approaches of landscape analysis include first focusing on the genes that undergo diversifying selection or directional selection in response to environmental variation. To understand the whole history of populations, it is ideal to capture the history of their range expansion with reference to the series of surrounding environments and to infer the multitrait coadaptation. To this end, we propose a complementary approach; it is an exploratory analysis using up-to-date methods that integrate population genetic features and features of selection on multiple traits. First, we conduct correspondence analysis of site frequency spectra, traits, and environments with auxiliary information of population-specific fixation index (FST). This visualizes the structure and the ages of populations and helps infer the history of range expansion, encountered environmental changes, and selection on multiple traits. Next, we further investigate the inferred history using an admixture graph that describes the population split and admixture. Finally, principal component analysis of the selection on edge-by-trait (SET) matrix identifies multitrait coadaptation and the associated edges of the admixture graph. We introduce a newly defined factor loadings of environmental variables in order to identify the environmental factors that caused the coadaptation. A numerical simulation of one-dimensional stepping-stone population expansion showed that the exploratory analysis reconstructed the pattern of the environmental selection that was missed by analysis of individual traits. Analysis of a public dataset of natural populations of black cottonwood in northwestern America identified the first principal component (PC) coadaptation of photosynthesis- vs growth-related traits responding to the geographical clines of temperature and day length. The second PC coadaptation of volume-related traits suggested that soil condition was a limiting factor for aboveground environmental selection.
言語 en
書誌情報 en : Ecology and Evolution

巻 12, 号 3, p. e8755, 発行日 2022-03-18
出版者
出版者 John Wiley & Sons, Inc(Wiley Open Access)
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 2045-7758
PubMed番号
関連タイプ isIdenticalTo
識別子タイプ PMID
関連識別子 8933610
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1002/ece3.8755
情報源
関連タイプ isIdenticalTo
識別子タイプ Local
関連識別子 10056219
言語 ja
関連名称 Fraism
関連サイト
関連タイプ isIdenticalTo
識別子タイプ URI
関連識別子 https://onlinelibrary.wiley.com/doi/10.1002/ece3.8755
言語 en
関連名称 Ecology and Evolution
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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