Conserved gene- and network-level thermal memory intervals in two divergent perennial crucifers in nature

Some biological responses persist long after the initial stimulus has disappeared-a phenomenon termed cellular memory. In its long-term form, cellular memory often reflects interactions between cis-acting chromatin states and diffusible trans-acting regulators, experimentally difficult to separate in vivo. A key challenge is to develop a quantitative and reliable framework that captures the duration of cellular memory without prior mechanistic knowledge. The FLOWERING LOCUS C (FLC) gene illustrates this problem and opportunity: a Polycomb/Trithorax cis-acting chromatin switch at FLC produces bistable ON/OFF transcriptional states, while trans-acting factors such as VERNALIZATION INSENSITIVE 3 (VIN3) and FLOWERING LOCUS T (FT) modulate transitions between those states. While laboratory studies typically view memory as the persistence of a state after a signal disappears, annual field censuses reveal a time-integrative mode of memory where FLC integrates fluctuating environmental signals over past intervals. To quantify such long-term effects systematically, we formalized the thermal memory interval (TMI), the time window of past environmental cues that best predicts current gene expression-as a consistent metric. We applied TMI to the VIN3-FLC-FT module in perennial Brassicaceae with divergent life histories: Arabidopsis halleri subsp. gemmifera and Eutrema japonicum, introduced here to test generality across species. TMIs distinguished spring versus autumn FLC states and revealed distributed memory across the VIN3-FLC-FT network, with intervals from 1-150 days, extending previously reported timescales. Crucially, a regression model forecasted dynamics in an independent year, showing that integrated thermal history explains the timing of seasonal phase switching across the VIN3-FLC-FT network. While TMIs require dense time-series data and do not by themselves reveal molecular mechanism, they offer a robust, quantitative, and generalizable framework: TMIs can be extended to other genes and to alternative environmental or physiological variables, enabling direct, comparative quantification of cellular memory across genes, species, and contexts.

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Publication Details

Journal
PLoS ONE
Published
2026-08-19
DOI
https://doi.org/10.1371/journal.pone.0336733
Citations
1
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
3.26

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article

Conserved gene- and network-level thermal memory intervals in two divergent perennial crucifers in nature

Diana Mihaela Buzas, Hiroshi Kudoh, Haruki Nishio, Victoria Faith Eseese et al.
1 citations
PLoS ONE
Genomics and Chromatin Dynamics
3.26
article

Conserved gene- and network-level thermal memory intervals in two divergent perennial crucifers in nature

Diana Mihaela Buzas, Hiroshi Kudoh, Haruki Nishio, Victoria Faith Eseese, Taichi Oguchi, Kyoko Yamane, Yoshikazu Endo, Clarissa Frances Frederica
article en
1 citations

Abstract

Some biological responses persist long after the initial stimulus has disappeared-a phenomenon termed cellular memory. In its long-term form, cellular memory often reflects interactions between cis-acting chromatin states and diffusible trans-acting regulators, experimentally difficult to separate in vivo. A key challenge is to develop a quantitative and reliable framework that captures the duration of cellular memory without prior mechanistic knowledge. The FLOWERING LOCUS C (FLC) gene illustrates this problem and opportunity: a Polycomb/Trithorax cis-acting chromatin switch at FLC produces bistable ON/OFF transcriptional states, while trans-acting factors such as VERNALIZATION INSENSITIVE 3 (VIN3) and FLOWERING LOCUS T (FT) modulate transitions between those states. While laboratory studies typically view memory as the persistence of a state after a signal disappears, annual field censuses reveal a time-integrative mode of memory where FLC integrates fluctuating environmental signals over past intervals. To quantify such long-term effects systematically, we formalized the thermal memory interval (TMI), the time window of past environmental cues that best predicts current gene expression-as a consistent metric. We applied TMI to the VIN3-FLC-FT module in perennial Brassicaceae with divergent life histories: Arabidopsis halleri subsp. gemmifera and Eutrema japonicum, introduced here to test generality across species. TMIs distinguished spring versus autumn FLC states and revealed distributed memory across the VIN3-FLC-FT network, with intervals from 1-150 days, extending previously reported timescales. Crucially, a regression model forecasted dynamics in an independent year, showing that integrated thermal history explains the timing of seasonal phase switching across the VIN3-FLC-FT network. While TMIs require dense time-series data and do not by themselves reveal molecular mechanism, they offer a robust, quantitative, and generalizable framework: TMIs can be extended to other genes and to alternative environmental or physiological variables, enabling direct, comparative quantification of cellular memory across genes, species, and contexts.

PLoS ONEVol. 21(8)
University of Tsukuba (JP), Shiga University (JP), Kyoto University (JP), Gifu University (JP)
Japan Society for the Promotion of Science London, Japan Science and Technology Corporation, University of Tsukuba, Japan Society for the Promotion of Science, Core Research for Evolutional Science and Technology
Openalex Percentile: Top 16%
Genomics and Chromatin Dynamics
3.26
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