Evidence map›Paper›PMID 29871979›Full record

ArticlePlant physiology2018

The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology.

Mao Li, Margaret H Frank, Viktoriya Coneva, Washington Mio, Daniel H Chitwood, Christopher N Topp

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 67 citations in OpenAlex.

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  15. Developmental plasticity ofPlant direct · 2021
    Article
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  18. 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

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Mao LiDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-5964-1764
Margaret H FrankDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-8269-8240
Viktoriya ConevaDonald Danforth Plant Science Center, St. Louis, Missouri 63132.ORCID 0000-0002-0640-5135
Washington MioDepartment of Mathematics, Florida State University, Tallahassee, Florida 32306.ORCID 0000-0003-1106-8089
Daniel H ChitwoodIndependent Scientist, Santa Rosa, California 95409 dhchitwood@gmail.com ctopp@danforthcenter.org.ORCID 0000-0003-4875-1447
Christopher N ToppDonald Danforth Plant Science Center, St. Louis, Missouri 63132 dhchitwood@gmail.com ctopp@danforthcenter.org.ORCID 0000-0001-9228-6752
Donald Danforth Plant Science Center · USFlorida State University · USMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efforts to understand the genetic and environmental conditioning of plant morphology are hindered by the lack of flexible and effective tools for quantifying morphology. Here, we demonstrate that persistent-homology-based topological methods can improve measurement of variation in leaf shape, serrations, and root architecture. We apply these methods to 2D images of leaves and root systems in field-grown plants of a domesticated introgression line population of tomato (

Indexed as

Genetic Association StudiesModels, TheoreticalImage Processing, Computer-AssistedPlant LeavesPlant RootsPlant ShootsQuantitative Trait LociSolanum

Identifiers

PMID29871979
PMCPMC6084663
OpenAlexW2805911684

What OpenQuestion holds

Textmetadata
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.