Evidence map›Paper›PMID 30111279›Full record

ArticleBMC genetics2018

Enhancement of Glen Moy x Latham raspberry linkage map using GbS to further understand control of developmental processes leading to fruit ripening.

Christine A Hackett, Linda Milne, Kay Smith, Pete Hedley, Jenny Morris, Craig G Simpson, Katharine Preedy, Julie Graham

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Article in BMC genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  10. Genetic and genomic resources forHorticulture research · 2019
    Review
  11. Two Loci,Frontiers in plant science · 2019
    Article
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 at 2 institutions in 1 country.

Christine A HackettBiomathematics and Statistics Scotland, Invergowrie, Dundee, DD25DA, Scotland.
Linda MilneThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland.
Kay SmithThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland.
Pete HedleyThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland.
Jenny MorrisThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland.
Craig G SimpsonThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland.
Katharine PreedyBiomathematics and Statistics Scotland, Invergowrie, Dundee, DD25DA, Scotland.
Julie GrahamThe James Hutton Institute, Invergowrie, Dundee, DD25DA, Scotland. Julie.Graham@hutton.ac.uk.ORCID 0000-0003-1701-5850
James Hutton Institute · GBBiomathematics and Statistics Scotland · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe changing climate is altering timing of key fruit ripening processes and increasing the occurrence of fruit defects. To improve our understanding of the genetic control of raspberry fruit development an enhanced genetic linkage map was developed and used to examine ripening phenotypic data.

resultsIn this study we developed an enhanced genetic linkage map for the raspberry cvs. Glen Moy x Latham reference mapping population using genotyping by sequencing (GbS). Alignment to a newly sequenced draft reference genome of red raspberry, cultivar (cv.) Glen Moy, identified 8019 single nucleotide polymorphisms (SNPs). After stringent filtering to take account of read coverage over all the progeny individuals, association with a single chromosome, heterozygosity and marker regression mapping, 2348 high confidence SNPs were retained and integrated with an existing raspberry genetic map. The linkage map contained many more SNPs segregating in Latham than in Glen Moy. This caused difficulties in quantitative trait loci (QTL) mapping with standard software and a novel analysis based on a hidden Markov model was used to improve the mapping. QTL mapping using the newly generated dense genetic map not only corroborated previously identified genetic locations but also provided additional genetic elements controlling fruit ripening in raspberry.

conclusionThe high-density GbS map located the QTL peaks more precisely than in earlier studies, aligned the QTLs with Glen Moy genome scaffolds, narrowed the range of potential candidate genes to these regions that can be utilised in other populations or in gene expression studies to confirm their role and increased the repertoire of markers available to understand the genetic control of fruit ripening traits.

Indexed as

Genetic LinkagePolymorphism, Single NucleotideChromosome MappingFruitOrganogenesis, PlantQuantitative Trait LociRubusFruit developmentGbSHidden Markov modelLinkage analysisQTL mappingRaspberryRipening

Identifiers

PMID30111279
PMCPMC6094467
OpenAlexW2887266984

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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.