Evidence map›Paper›PMID 27806077›Full record

ArticlePloS one2016

Linkage and Association Mapping for Two Major Traits Used in the Maritime Pine Breeding Program: Height Growth and Stem Straightness.

Jérôme Bartholomé, Marco Cam Bink, Joost van Heerwaarden, Emilie Chancerel, Christophe Boury, Isabelle Lesur, Fikret Isik, Laurent Bouffier, Christophe Plomion

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 5% 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, 32 citations in OpenAlex.

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  4. Stone Pine (Genes · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Jérôme BartholoméBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.ORCID http://orcid.org/0000-0002-0855-3828
Marco Cam BinkBiometris, Wageningen University and Research Centre, NL-6700 AC, Wageningen, Netherlands.
Joost van HeerwaardenBiometris, Wageningen University and Research Centre, NL-6700 AC, Wageningen, Netherlands.
Emilie ChancerelBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.
Christophe BouryBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.
Isabelle LesurBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.
Fikret IsikNorth Carolina State University, Department of Forestry and Environmental Resources, Raleigh, NC, United States of America.
Laurent BouffierBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.
Christophe PlomionBIOGECO, INRA, Univ. Bordeaux, 33610, Cestas, France.
CEA CESTA · FRZimmer Biomet (Netherlands) · NLNorth Carolina Department of Environmental Quality · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing our understanding of the genetic architecture of complex traits, through analyses of genotype-phenotype associations and of the genes/polymorphisms accounting for trait variation, is crucial, to improve the integration of molecular markers into forest tree breeding. In this study, two full-sib families and one breeding population of maritime pine were used to identify quantitative trait loci (QTLs) for height growth and stem straightness, through linkage analysis (LA) and linkage disequilibrium (LD) mapping approaches.

resultsThe populations used for LA consisted of two unrelated three-generation full-sib families (n = 197 and n = 477). These populations were assessed for height growth or stem straightness and genotyped for 248 and 217 markers, respectively. The population used for LD mapping consisted of 661 founders of the first and second generations of the breeding program. This population was phenotyped for the same traits and genotyped for 2,498 single-nucleotide polymorphism (SNP) markers corresponding to 1,652 gene loci. The gene-based reference genetic map of maritime pine was used to localize and compare the QTLs detected by the two approaches, for both traits. LA identified three QTLs for stem straightness and two QTLs for height growth. The LD study yielded seven significant associations (P ≤ 0.001): four for stem straightness and three for height growth. No colocalisation was found between QTLs identified by LA and SNPs detected by LD mapping for the same trait.

conclusionsThis study provides the first comparison of LA and LD mapping approaches in maritime pine, highlighting the complementary nature of these two approaches for deciphering the genetic architecture of two mandatory traits of the breeding program.

Indexed as

Quantitative Trait LociDNA, PlantGenetic Association StudiesGenetic LinkagePinusPlant BreedingPolymorphism, Single NucleotideDNA, Plant

Identifiers

PMID27806077
PMCPMC5091878
OpenAlexW2546868653

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.