Evidence map›Paper›PMID 28644860›Full record

ArticlePLoS genetics2017

Time dependent genetic analysis links field and controlled environment phenotypes in the model C4 grass Setaria.

Max J Feldman, Rachel E Paul, Darshi Banan, Jennifer F Barrett, Jose Sebastian, Muh-Ching Yee, Hui Jiang, Alexander E Lipka, Thomas P Brutnell, José R Dinneny and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.1field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 75 citations in OpenAlex.

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  9. QTL mapping for foxtail millet plant height in multi-environment using an ultra-high density bin map.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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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

12 authors at 4 institutions in 1 country.

Max J FeldmanDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.ORCID http://orcid.org/0000-0002-5415-4326
Rachel E PaulDepartment of Plant Biology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Darshi BananDepartment of Plant Biology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID http://orcid.org/0000-0002-9769-7144
Jennifer F BarrettDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.ORCID http://orcid.org/0000-0002-1134-3645
Jose SebastianCarnegie Institution for Science, Department of Plant Biology, Stanford, California, United States of America.
Muh-Ching YeeCarnegie Institution for Science, Department of Plant Biology, Stanford, California, United States of America.
Hui JiangDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.
Alexander E LipkaDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Thomas P BrutnellDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.
José R DinnenyCarnegie Institution for Science, Department of Plant Biology, Stanford, California, United States of America.
Andrew D B LeakeyDepartment of Plant Biology and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Ivan BaxterDonald Danforth Plant Science Center, St. Louis, Missouri, United States of America.ORCID http://orcid.org/0000-0001-6680-1722
Donald Danforth Plant Science Center · USUniversity of Illinois Urbana-Champaign · USCarnegie Institution for Science · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertical growth of plants is a dynamic process that is influenced by genetic and environmental factors and has a pronounced effect on overall plant architecture and biomass composition. We have performed six controlled growth trials of an interspecific Setaria italica x Setaria viridis recombinant inbred line population to assess how the genetic architecture of plant height is influenced by developmental queues, water availability and planting density. The non-destructive nature of plant height measurements has enabled us to monitor height throughout the plant life cycle in both field and controlled environments. We find that plant height is reduced under water limitation and high density planting and affected by growth environment (field vs. growth chamber). The results support a model where plant height is a heritable, polygenic trait and that the major genetic loci that influence plant height function independent of growth environment. The identity and contribution of loci that influence height changes dynamically throughout development and the reduction of growth observed in water limited environments is a consequence of delayed progression through the genetic program which establishes plant height in Setaria. In this population, alleles inherited from the weedy S. viridis parent act to increase plant height early, whereas a larger number of small effect alleles inherited from the domesticated S. italica parent collectively act to increase plant height later in development.

Indexed as

Environment, ControlledAllelesBiomassChromosome MappingGenome, PlantGenotypeMultifactorial InheritancePhenotypeQuantitative Trait LociSetaria Plant

Identifiers

PMID28644860
PMCPMC5507400
OpenAlexW2952332658

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.