Evidence map›Paper›PMID 36824862›Full record

ArticlebioRxiv : the preprint server for biology2023

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

Qingqing Wang, Wei Liu, Chun Chung Leung, Daniel A Tartè, Joshua M Gendron

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qingqing WangDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.
Wei LiuDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.
Chun Chung LeungDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.
Daniel A TartèDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.
Joshua M GendronDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.

Funding

Skill Development for Diverse Scientific Careers: A New Course Predoctoral Program in Cellular and Molecular BiologyT32GM007223 · NIGMS · YALE UNIVERSITY · PI BASERGA, SUSAN J · 1985 to 2019
$31.0M
Protein degradation mechanisms that regulate daily and seasonal timingR35GM128670 · NIGMS · YALE UNIVERSITY · PI Joshua Martin Gendron · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128670NIGMS NIH HHS T32 GM007223
6 · The paper itself

Abstract

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. Surprisingly, this pathway functions in long days but is distinct from the canonical long day photoperiod flowering mechanism. This is possible because the two mechanisms detect the photoperiod in different ways: flowering relies on measuring photoperiod by directly detecting duration of light intensity while the identified growth pathway relies on measuring photosynthetic period indirectly by detecting the duration of photosynthetic metabolite production. In turn, the two pathways then control expression of genes required for flowering or growth independently. Finally, our tools allow us to show that these two types of photoperiods, and their measurement systems, are dissociable. Our results constitute a new view of seasonal timekeeping in plants by showing that two parallel mechanisms measure different photoperiods to control plant growth and flowering, allowing these processes to be coordinated independently across seasons.

Identifiers

PMID36824862
PMCPMC9948978

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.