Evidence map›Paper›PMID 38153952›Full record

ArticlePloS one2023

Oligosaccharide production and signaling correlate with delayed flowering in an Arabidopsis genotype grown and selected in high [CO2].

Hannah Kinmonth-Schultz, Stephen Michael Walker, Kerem Bingol, David W Hoyt, Young-Mo Kim, Lye Meng Markillie, Hugh D Mitchell, Carrie D Nicora, Ronald Taylor, Joy K Ward

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 21% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 3 institutions in 1 country.

Hannah Kinmonth-SchultzDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, United States of America.ORCID 0000-0003-3541-007X
Stephen Michael WalkerDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, United States of America.
Kerem BingolDepartment of Energy, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States of America.
David W HoytDepartment of Energy, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States of America.
Young-Mo KimBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States of America.
Lye Meng MarkillieDepartment of Energy, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States of America.
Hugh D MitchellBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States of America.
Carrie D NicoraDepartment of Energy, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States of America.ORCID 0000-0003-2461-9548
Ronald TaylorBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States of America.
Joy K WardDepartment of Biology, College of Arts and Sciences, Case Western Reserve University, Cleveland, OH, United States of America.
Pacific Northwest National Laboratory · USUniversity of Kansas · USCase Western Reserve University · US

Funding

U of Kansas/Haskell Indian Nations U.IRACDA ProjectK12GM063651 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DE GUZMAN, ROBERTO N · 2002 to 2022
$10.0M
NIGMS NIH HHS K12 GM063651
6 · The paper itself

Abstract

Since industrialization began, atmospheric CO2 ([CO2]) has increased from 270 to 415 ppm and is projected to reach 800-1000 ppm this century. Some Arabidopsis thaliana (Arabidopsis) genotypes delayed flowering in elevated [CO2] relative to current [CO2], while others showed no change or accelerations. To predict genotype-specific flowering behaviors, we must understand the mechanisms driving flowering response to rising [CO2]. [CO2] changes alter photosynthesis and carbohydrates in plants. Plants sense carbohydrate levels, and exogenous carbohydrate application influences flowering time and flowering transcript levels. We asked how organismal changes in carbohydrates and transcription correlate with changes in flowering time under elevated [CO2]. We used a genotype (SG) of Arabidopsis that was selected for high fitness at elevated [CO2] (700 ppm). SG delays flowering under elevated [CO2] (700 ppm) relative to current [CO2] (400 ppm). We compared SG to a closely related control genotype (CG) that shows no [CO2]-induced flowering change. We compared metabolomic and transcriptomic profiles in these genotypes at current and elevated [CO2] to assess correlations with flowering in these conditions. While both genotypes altered carbohydrates in response to elevated [CO2], SG had higher levels of sucrose than CG and showed a stronger increase in glucose and fructose in elevated [CO2]. Both genotypes demonstrated transcriptional changes, with CG increasing genes related to fructose 1,6-bisphosphate breakdown, amino acid synthesis, and secondary metabolites; and SG decreasing genes related to starch and sugar metabolism, but increasing genes involved in oligosaccharide production and sugar modifications. Genes associated with flowering regulation within the photoperiod, vernalization, and meristem identity pathways were altered in these genotypes. Elevated [CO2] may alter carbohydrates to influence transcription in both genotypes and delayed flowering in SG. Changes in the oligosaccharide pool may contribute to delayed flowering in SG. This work extends the literature exploring genotypic-specific flowering responses to elevated [CO2].

Indexed as

ArabidopsisCarbohydratesCarbon DioxideFlowersGene Expression Regulation, PlantGenotypeOligosaccharidesPlant LeavesSugarsCarbohydratesCarbon DioxideOligosaccharidesSugars

Identifiers

PMID38153952
PMCPMC10754469
OpenAlexW4390332201

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Registered trials

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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.