Evidence map›Paper›PMID 31504758›Full record

ArticleJournal of experimental botany2019

Characterizing 3D inflorescence architecture in grapevine using X-ray imaging and advanced morphometrics: implications for understanding cluster density.

Mao Li, Laura L Klein, Keith E Duncan, Ni Jiang, Daniel H Chitwood, Jason P Londo, Allison J Miller, Christopher N Topp

Abstract read
In one paragraph

Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

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  13. The shape of things to come: Topological data analysis and biology, from molecules to organisms.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Review
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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

8 authors.

Mao LiDonald Danforth Plant Science Center, St Louis, MO, USA.
Laura L KleinDonald Danforth Plant Science Center, St Louis, MO, USA.
Keith E DuncanDonald Danforth Plant Science Center, St Louis, MO, USA.
Ni JiangDonald Danforth Plant Science Center, St Louis, MO, USA.
Daniel H ChitwoodDepartment of Horticulture, Michigan State University, East Lansing, MI, USA.
Jason P LondoUnited States Department of Agriculture, Agricultural Research Service: Grape Genetics Research Unit, Geneva, NY, USA.
Allison J MillerDonald Danforth Plant Science Center, St Louis, MO, USA.
Christopher N ToppDonald Danforth Plant Science Center, St Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflorescence architecture provides the scaffold on which flowers and fruits develop, and consequently is a primary trait under investigation in many crop systems. Yet the challenge remains to analyse these complex 3D branching structures with appropriate tools. High information content datasets are required to represent the actual structure and facilitate full analysis of both the geometric and the topological features relevant to phenotypic variation in order to clarify evolutionary and developmental inflorescence patterns. We combined advanced imaging (X-ray tomography) and computational approaches (topological and geometric data analysis and structural simulations) to comprehensively characterize grapevine inflorescence architecture (the rachis and all branches without berries) among 10 wild Vitis species. Clustering and correlation analyses revealed unexpected relationships, for example pedicel branch angles were largely independent of other traits. We identified multivariate traits that typified species, which allowed us to classify species with 78.3% accuracy, versus 10% by chance. Twelve traits had strong signals across phylogenetic clades, providing insight into the evolution of inflorescence architecture. We provide an advanced framework to quantify 3D inflorescence and other branched plant structures that can be used to tease apart subtle, heritable features for a better understanding of genetic and environmental effects on plant phenotypes.

Indexed as

Imaging, Three-DimensionalCluster AnalysisDiscriminant AnalysisFruitInflorescenceMultivariate AnalysisPhylogenyVitisX-Rays3D architectureinflorescencemorphologypersistent homologyphylogenetic analysistopological data analysisVitis sppX-ray tomography

Identifiers

PMID31504758
PMCPMC6859732

What OpenQuestion holds

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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.