Explaining preemptive acclimation by linking information to plant phenotype

Abstract

We review mechanisms for preemptive acclimation in plants and propose a conceptual model linking developmental and evolutionary ecology with the acquisition of information through sensing of cues and signals. The idea is that plants acquire much of the information in the environment not from individual cues and signals but instead from their joint multivariate properties such as correlations. If molecular signalling has evolved to extract such information, the joint multivariate properties of the environment must be encoded in the genome, epigenome and phenome. We contend that multivariate complexity explains why extrapolating from experiments done in artificial contexts into natural or agricultural systems almost never works for characters under complex environmental regulation: biased relationships among the state variables both in time and space create a mismatch between the evolutionary history reflected in the genotype and the artificial growing conditions in which the phenotype is expressed. Our model can generate testable hypotheses bridging levels of organization. In this note we describe the model, its theoretical bases and discuss its implications. We illustrate the hypotheses that can be derived from the model in two cases of preemptive acclimation based on correlations in the environment: the shade avoidance response and acclimation to drought.

Anticipatory responses to drought by plants: What are the environmental cues?

“…Daylight carries information through changes in its spectrum and in its irradiance (Aphalo and Ballaré, 1995;Casal, 2013) as well as the seasonality of the photoperiod, sensed by plants as the length of the night through photoreceptors (Song et al, 2015). Variables in the environment carry a wealth of information as a result of temporal and spatial auto-correlations and cross-correlations (Aphalo and Sadras, 2021).…”

“…These features of acclimation indicate that to be effective, acclimation needs to be anticipatory (Novoplansky, 2016). Anticipation implies that plants perceive the environmental conditions they are likely to experience in the near future (Aphalo and Sadras, 2021).…”