Multi-scale modelling to synergise plant systems biology and crop science

Yin Hoon Chew; Daniel Seaton; Andrew Millar

doi:10.1016/j.fcr.2016.02.012

Multi-scale modelling to synergise plant systems biology and crop science

Yin Hoon Chew, Daniel Seaton, Andrew Millar

School of Biological Sciences

Research output: Contribution to journal › Literature review › peer-review

Abstract

At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

Original language	English
Journal	Field crops research
Volume	202
DOIs	https://doi.org/10.1016/j.fcr.2016.02.012
Publication status	Published - 26 Feb 2016

Keywords

biology
crop modelling
in silico plant
multiscale
climate change
breeding

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10.1016/j.fcr.2016.02.012

MillarEtalFCR2016Multi-scaleModellingToSynergisePlantSystemsBiologyAndCroPAccepted author manuscript, 590 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

Experimental methods and modelling for multiscale biology
Millar, A.
BBSRC
24/07/15 → 23/12/15
Project: Research
TiMet: Linking the clock to metabolism
Millar, A.
EU government bodies
1/03/10 → 28/02/15
Project: Research

Cite this

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title = "Multi-scale modelling to synergise plant systems biology and crop science",

abstract = "At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools. ",

keywords = "biology, crop modelling, in silico plant, multiscale, climate change, breeding",

author = "Chew, {Yin Hoon} and Daniel Seaton and Andrew Millar",

year = "2016",

month = feb,

day = "26",

doi = "10.1016/j.fcr.2016.02.012",

language = "English",

volume = "202",

journal = "Field crops research",

issn = "0378-4290",

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TY - JOUR

T1 - Multi-scale modelling to synergise plant systems biology and crop science

AU - Chew, Yin Hoon

AU - Seaton, Daniel

AU - Millar, Andrew

PY - 2016/2/26

Y1 - 2016/2/26

N2 - At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

AB - At the interface of the plant systems biology and crop modelling communities, a recurring theme is the construction of an in silico plant that links across many levels of biological organisation. These disciplines are not mutually exclusive; each has some elements of the other and they have an overlapping goal in understanding and assisting crop improvement. Therefore, we believe that synergies can be gained through knowledge exchange between the two. Several modelling frameworks could support this aspiration. Our recent work on a multiscale Arabidopsis Framework Model (FM) combined concepts from both systems biology and crop modelling. We use the FM as a starting point to explore the potential benefits and challenges of applying and extending such cross-disciplinary tools.

KW - biology

KW - crop modelling

KW - in silico plant

KW - multiscale

KW - climate change

KW - breeding

U2 - 10.1016/j.fcr.2016.02.012

DO - 10.1016/j.fcr.2016.02.012

M3 - Literature review

VL - 202

JO - Field crops research

JF - Field crops research

SN - 0378-4290

ER -

Multi-scale modelling to synergise plant systems biology and crop science

Abstract

Keywords

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Projects

Experimental methods and modelling for multiscale biology

TiMet: Linking the clock to metabolism

Cite this