Towards understanding how molecular networks evolve in plants

Lee Chae; Insuk Lee; Junha Shin; Seung Yon Rhee

doi:10.1016/j.pbi.2012.01.006

Towards understanding how molecular networks evolve in plants

Lee Chae, Insuk Lee, Junha Shin, Seung Yon Rhee

Research output: Contribution to journal › Review article › peer-review

49 Citations (Scopus)

Abstract

Residing beneath the phenotypic landscape of a plant are intricate and dynamic networks of genes and proteins. As evolution operates on phenotypes, we expect its forces to shape somehow these underlying molecular networks. In this review, we discuss progress being made to elucidate the nature of these forces and their impact on the composition and structure of molecular networks. We also outline current limitations and open questions facing the broader field of plant network analysis.

Original language	English
Pages (from-to)	177-184
Number of pages	8
Journal	Current Opinion in Plant Biology
Volume	15
Issue number	2
DOIs	https://doi.org/10.1016/j.pbi.2012.01.006
Publication status	Published - 2012 Apr

Bibliographical note

Funding Information:
This work was supported by Carnegie Institution for Science (S.Y.R.), grants from the National Science Foundation to S.Y.R. ( DBI-0640769 and IOS-1026003 ), a grant from the National Research Foundation funded by the Korean Government (No. 20100017649 ) and POSCO TJ Park Science Fellowship to I.L.

All Science Journal Classification (ASJC) codes

Plant Science

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10.1016/j.pbi.2012.01.006

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title = "Towards understanding how molecular networks evolve in plants",

abstract = "Residing beneath the phenotypic landscape of a plant are intricate and dynamic networks of genes and proteins. As evolution operates on phenotypes, we expect its forces to shape somehow these underlying molecular networks. In this review, we discuss progress being made to elucidate the nature of these forces and their impact on the composition and structure of molecular networks. We also outline current limitations and open questions facing the broader field of plant network analysis.",

author = "Lee Chae and Insuk Lee and Junha Shin and Rhee, {Seung Yon}",

note = "Funding Information: This work was supported by Carnegie Institution for Science (S.Y.R.), grants from the National Science Foundation to S.Y.R. ( DBI-0640769 and IOS-1026003 ), a grant from the National Research Foundation funded by the Korean Government (No. 20100017649 ) and POSCO TJ Park Science Fellowship to I.L.",

year = "2012",

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doi = "10.1016/j.pbi.2012.01.006",

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AU - Chae, Lee

AU - Lee, Insuk

AU - Shin, Junha

AU - Rhee, Seung Yon

N1 - Funding Information: This work was supported by Carnegie Institution for Science (S.Y.R.), grants from the National Science Foundation to S.Y.R. ( DBI-0640769 and IOS-1026003 ), a grant from the National Research Foundation funded by the Korean Government (No. 20100017649 ) and POSCO TJ Park Science Fellowship to I.L.

PY - 2012/4

Y1 - 2012/4

N2 - Residing beneath the phenotypic landscape of a plant are intricate and dynamic networks of genes and proteins. As evolution operates on phenotypes, we expect its forces to shape somehow these underlying molecular networks. In this review, we discuss progress being made to elucidate the nature of these forces and their impact on the composition and structure of molecular networks. We also outline current limitations and open questions facing the broader field of plant network analysis.

AB - Residing beneath the phenotypic landscape of a plant are intricate and dynamic networks of genes and proteins. As evolution operates on phenotypes, we expect its forces to shape somehow these underlying molecular networks. In this review, we discuss progress being made to elucidate the nature of these forces and their impact on the composition and structure of molecular networks. We also outline current limitations and open questions facing the broader field of plant network analysis.

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JO - Current Opinion in Plant Biology

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ER -

Towards understanding how molecular networks evolve in plants

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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