Plants distinguish different photoperiods to independently control seasonal flowering and growth.

Plants measure daylength (photoperiod) to regulate seasonal growth and flowering. Photoperiodic flowering has been well studied, but less is known about photoperiodic growth. By using a mutant with defects in photoperiodic growth, we identified a seasonal growth regulation pathway that functions in long days in parallel to the canonical long-day photoperiod flowering mechanism.

Systematic characterization of photoperiodic gene expression patterns reveals diverse seasonal transcriptional systems in Arabidopsis.

Photoperiod is an annual cue measured by biological systems to align growth and reproduction with the seasons. In plants, photoperiodic flowering has been intensively studied for over 100 years, but we lack a complete picture of the transcriptional networks and cellular processes that are photoperiodic. We performed a transcriptomics experiment on Arabidopsis plants grown in 3 different photoperiods and found that thousands of genes show photoperiodic alteration in gene expression.

Parallel mechanisms detect different photoperiods to independently control seasonal flowering and growth in plants.

For nearly 100 years, we have known that both growth and flowering in plants are seasonally regulated by the length of the day (photoperiod). Intense research focus and powerful genetic tools have propelled studies of photoperiodic flowering, but far less is known about photoperiodic growth, in part because tools were lacking. Here, using a new genetic tool that visually reports on photoperiodic growth, we identified a seasonal growth regulation pathway, from photoperiod detection to gene expression.

A metabolic daylength measurement system mediates winter photoperiodism in plants.

Plants have served as a preeminent study system for photoperiodism due to their propensity to flower in concordance with the seasons. A nearly singular focus on understanding photoperiodic flowering has prevented the discovery of other photoperiod measuring systems necessary for vegetative health. Here, we use bioinformatics to identify photoperiod-induced genes in Arabidopsis.