Evidence map›Paper›PMID 35665170›Full record

ArticleFrontiers in plant science2022

Dissecting the Genetic Architecture of Carbon Partitioning in Sorghum Using Multiscale Phenotypes.

J Lucas Boatwright, Sirjan Sapkota, Matthew Myers, Neeraj Kumar, Alex Cox, Kathleen E Jordan, Stephen Kresovich

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026
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  9. Editorial: Carbon allocation, volume II.Frontiers in plant science · 2023
    Article
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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.

J Lucas BoatwrightAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Sirjan SapkotaAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Matthew MyersAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Neeraj KumarAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Alex CoxAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Kathleen E JordanAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Stephen KresovichAdvanced Plant Technology, Clemson University, Clemson, SC, United States.
Clemson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon partitioning in plants may be viewed as a dynamic process composed of the many interactions between sources and sinks. The accumulation and distribution of fixed carbon is not dictated simply by the sink strength and number but is dependent upon the source, pathways, and interactions of the system. As such, the study of carbon partitioning through perturbations to the system or through focus on individual traits may fail to produce actionable developments or a comprehensive understanding of the mechanisms underlying this complex process. Using the recently published sorghum carbon-partitioning panel, we collected both macroscale phenotypic characteristics such as plant height, above-ground biomass, and dry weight along with microscale compositional traits to deconvolute the carbon-partitioning pathways in this multipurpose crop. Multivariate analyses of traits resulted in the identification of numerous loci associated with several distinct carbon-partitioning traits, which putatively regulate sugar content, manganese homeostasis, and nitrate transportation. Using a multivariate adaptive shrinkage approach, we identified several loci associated with multiple traits suggesting that pleiotropic and/or interactive effects may positively influence multiple carbon-partitioning traits, or these overlaps may represent molecular switches mediating basal carbon allocating or partitioning networks. Conversely, we also identify a carbon tradeoff where reduced lignin content is associated with increased sugar content. The results presented here support previous studies demonstrating the convoluted nature of carbon partitioning in sorghum and emphasize the importance of taking a holistic approach to the study of carbon partitioning by utilizing multiscale phenotypes.

Indexed as

carbon partitioninglinear mixed modelsNested Association Mappingpleiotropysinksource

Identifiers

PMID35665170
PMCPMC9159972
OpenAlexW4280520583

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.