Evidence map›Paper›PMID 34059197›Full record

ArticleeLife2021

An ABA-GA bistable switch can account for natural variation in the variability of Arabidopsis seed germination time.

Katie Abley, Pau Formosa-Jordan, Hugo Tavares, Emily Yt Chan, Mana Afsharinafar, Ottoline Leyser, James Cw Locke

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.4field-weighted citation impact, top 3% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

34 citing papers in PubMed, 53 citations in OpenAlex.

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  19. Bet-hedging and variability in plant development: seed germination and beyond.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Katie Abley *The Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-5524-6786
Pau Formosa-Jordan *The Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-3005-597X
Hugo TavaresThe Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9373-2726
Emily Yt ChanThe Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Mana AfsharinafarThe Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Ottoline LeyserThe Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-2161-3829
James Cw LockeThe Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0670-1943
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetically identical plants growing in the same conditions can display heterogeneous phenotypes. Here we use Arabidopsis seed germination time as a model system to examine phenotypic variability and its underlying mechanisms. We show extensive variation in seed germination time variability between Arabidopsis accessions and use a multiparent recombinant inbred population to identify two genetic loci involved in this trait. Both loci include genes implicated in modulating abscisic acid (ABA) sensitivity. Mutually antagonistic regulation between ABA, which represses germination, and gibberellic acid (GA), which promotes germination, underlies the decision to germinate and can act as a bistable switch. A simple stochastic model of the ABA-GA network shows that modulating ABA sensitivity can generate the range of germination time distributions we observe experimentally. We validate the model by testing its predictions on the effects of exogenous hormone addition. Our work provides a foundation for understanding the mechanism and functional role of phenotypic variability in germination time.

Indexed as

Abscisic AcidArabidopsisGene Expression Regulation, PlantGenetic LociGerminationGibberellinsModels, BiologicalPhenotypePlants, Genetically ModifiedSeedsSignal TransductionStochastic ProcessesTime FactorsAbscisic Acidgibberellic acidGibberellinsABAA. thalianacomputational biologyGAgerminationmathematical modellingplant biologyquantitative geneticssystems biologyvariability

Identifiers

PMID34059197
PMCPMC8169117
OpenAlexW3164709940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.