Evidence map›Paper›PMID 20736971›Full record

ArticleHeredity2011

The quantitative-genetic and QTL architecture of trait integration and modularity in Brassica rapa across simulated seasonal settings.

C E Edwards, C Weinig

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2011. 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
3.4field-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

16 citing papers in PubMed, 41 citations in OpenAlex.

  1. Modular regulation of floral traits by aHorticulture research · 2022
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  9. The role of pollinator diversity in the evolution of corolla-shape integration in a pollination-generalist plant clade.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Article
  10. Modularity and intra-floral integration in metameric organisms: plants are more than the sum of their parts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

C E EdwardsDepartment of Botany, University of Wyoming, Laramie, WY, USA. cedwar10@uwyo.edu
C Weinig
University of Wyoming · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within organisms, groups of traits with different functions are frequently modular, such that variation among modules is independent and variation within modules is tightly integrated, or correlated. Here, we investigated patterns of trait integration and modularity in Brassica rapa in response to three simulated seasonal temperature/photoperiod conditions. The goals of this research were to use trait correlations to understand patterns of trait integration and modularity within and among floral, vegetative and phenological traits of B. rapa in each of three treatments, to examine the QTL architecture underlying patterns of trait integration and modularity, and to quantify how variation in temperature and photoperiod affects the correlation structure and QTL architecture of traits. All floral organs of B. rapa were strongly correlated, and contrary to expectations, floral and vegetative traits were also correlated. Extensive QTL co-localization suggests that covariation of these traits is likely due to pleiotropy, although physically linked loci that independently affect individual traits cannot be ruled out. Across treatments, the structure of genotypic and QTL correlations was generally conserved. Any observed variation in genetic architecture arose from genotype × environment interactions (GEIs) and attendant QTL × E in response to temperature but not photoperiod.

Indexed as

EcosystemQuantitative Trait LociBrassica rapaEnvironmentGenotypeLightPhenotypePhotoperiodSeasons

Identifiers

PMID20736971
PMCPMC3183896
OpenAlexW1976547707

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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.