Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment

Shinichiro Aikawa, Masaki J. Kobayashi, Akiko Satake, Kentaro K. Shimizu, Hiroshi Kudoh

Research output: Contribution to journalArticle

90 Citations (Scopus)

Abstract

Plants flower in particular seasons even in natural, fluctuating environments. The molecular basis of temperature-dependent flowering-time regulation has been extensively studied, but little is known about how gene expression is controlled in natural environments. Without a memory of past temperatures, it would be difficult for plants to detect seasons in natural, noisy environments because temperature changes occurring within a few weeks are often inconsistent with seasonal trends.Our 2-y census of the expression of a temperature-dependent flowering-time gene, AhgFLC, in a natural population of perennial Arabidopsis halleri revealed that the regulatory system of this flowering-time gene extracts seasonal cues as if it memorizes temperatures over the past 6 wk. Time-series analysis revealed that as much as 83% of the variation in the AhgFLC expression is explained solely by the temperature for the previous 6wk, but not by the temperatures over shorter or longer periods. The accuracy of our model in predicting the gene expression pattern under contrasting temperature regimes in the transplant experiments indicates that such modeling incorporating the molecular bases of flowering time regulation will contribute to predicting plant responses to future climate changes.

Original languageEnglish
Pages (from-to)11632-11637
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume107
Issue number25
DOIs
Publication statusPublished - Jun 22 2010

Fingerprint

Arabidopsis
Temperature
Genes
Gene Expression
Climate Change
Censuses
Cues
Transplants
Population

All Science Journal Classification (ASJC) codes

  • General

Cite this

Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment. / Aikawa, Shinichiro; Kobayashi, Masaki J.; Satake, Akiko; Shimizu, Kentaro K.; Kudoh, Hiroshi.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 107, No. 25, 22.06.2010, p. 11632-11637.

Research output: Contribution to journalArticle

Aikawa, Shinichiro ; Kobayashi, Masaki J. ; Satake, Akiko ; Shimizu, Kentaro K. ; Kudoh, Hiroshi. / Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment. In: Proceedings of the National Academy of Sciences of the United States of America. 2010 ; Vol. 107, No. 25. pp. 11632-11637.
@article{3566f6bc4a5e4f19a6d53ddf2b525bfa,
title = "Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment",
abstract = "Plants flower in particular seasons even in natural, fluctuating environments. The molecular basis of temperature-dependent flowering-time regulation has been extensively studied, but little is known about how gene expression is controlled in natural environments. Without a memory of past temperatures, it would be difficult for plants to detect seasons in natural, noisy environments because temperature changes occurring within a few weeks are often inconsistent with seasonal trends.Our 2-y census of the expression of a temperature-dependent flowering-time gene, AhgFLC, in a natural population of perennial Arabidopsis halleri revealed that the regulatory system of this flowering-time gene extracts seasonal cues as if it memorizes temperatures over the past 6 wk. Time-series analysis revealed that as much as 83{\%} of the variation in the AhgFLC expression is explained solely by the temperature for the previous 6wk, but not by the temperatures over shorter or longer periods. The accuracy of our model in predicting the gene expression pattern under contrasting temperature regimes in the transplant experiments indicates that such modeling incorporating the molecular bases of flowering time regulation will contribute to predicting plant responses to future climate changes.",
author = "Shinichiro Aikawa and Kobayashi, {Masaki J.} and Akiko Satake and Shimizu, {Kentaro K.} and Hiroshi Kudoh",
year = "2010",
month = "6",
day = "22",
doi = "10.1073/pnas.0914293107",
language = "English",
volume = "107",
pages = "11632--11637",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
number = "25",

}

TY - JOUR

T1 - Robust control of the seasonal expression of the Arabidopsis FLC gene in a fluctuating environment

AU - Aikawa, Shinichiro

AU - Kobayashi, Masaki J.

AU - Satake, Akiko

AU - Shimizu, Kentaro K.

AU - Kudoh, Hiroshi

PY - 2010/6/22

Y1 - 2010/6/22

N2 - Plants flower in particular seasons even in natural, fluctuating environments. The molecular basis of temperature-dependent flowering-time regulation has been extensively studied, but little is known about how gene expression is controlled in natural environments. Without a memory of past temperatures, it would be difficult for plants to detect seasons in natural, noisy environments because temperature changes occurring within a few weeks are often inconsistent with seasonal trends.Our 2-y census of the expression of a temperature-dependent flowering-time gene, AhgFLC, in a natural population of perennial Arabidopsis halleri revealed that the regulatory system of this flowering-time gene extracts seasonal cues as if it memorizes temperatures over the past 6 wk. Time-series analysis revealed that as much as 83% of the variation in the AhgFLC expression is explained solely by the temperature for the previous 6wk, but not by the temperatures over shorter or longer periods. The accuracy of our model in predicting the gene expression pattern under contrasting temperature regimes in the transplant experiments indicates that such modeling incorporating the molecular bases of flowering time regulation will contribute to predicting plant responses to future climate changes.

AB - Plants flower in particular seasons even in natural, fluctuating environments. The molecular basis of temperature-dependent flowering-time regulation has been extensively studied, but little is known about how gene expression is controlled in natural environments. Without a memory of past temperatures, it would be difficult for plants to detect seasons in natural, noisy environments because temperature changes occurring within a few weeks are often inconsistent with seasonal trends.Our 2-y census of the expression of a temperature-dependent flowering-time gene, AhgFLC, in a natural population of perennial Arabidopsis halleri revealed that the regulatory system of this flowering-time gene extracts seasonal cues as if it memorizes temperatures over the past 6 wk. Time-series analysis revealed that as much as 83% of the variation in the AhgFLC expression is explained solely by the temperature for the previous 6wk, but not by the temperatures over shorter or longer periods. The accuracy of our model in predicting the gene expression pattern under contrasting temperature regimes in the transplant experiments indicates that such modeling incorporating the molecular bases of flowering time regulation will contribute to predicting plant responses to future climate changes.

UR - http://www.scopus.com/inward/record.url?scp=77954912138&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954912138&partnerID=8YFLogxK

U2 - 10.1073/pnas.0914293107

DO - 10.1073/pnas.0914293107

M3 - Article

VL - 107

SP - 11632

EP - 11637

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 25

ER -