Evidence map›Paper›PMID 26801334›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2016

Ascochyta blight disease of pea (Pisum sativum L.): defence-related candidate genes associated with QTL regions and identification of epistatic QTL.

Gail M Timmerman-Vaughan, Leire Moya, Tonya J Frew, Sarah R Murray, Ross Crowhurst

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2016. 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
5.5field-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

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  9. Genomics of Plant Disease Resistance in Legumes.Frontiers in plant science · 2019
    Review
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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

5 authors at 1 institution in 1 country.

Gail M Timmerman-VaughanThe New Zealand Institute for Plant & Food Research Limited, PO Box 4704, Christchurch, New Zealand. gail.timmerman-vaughan@plantandfood.co.nz.
Leire MoyaThe New Zealand Institute for Plant & Food Research Limited, PO Box 4704, Christchurch, New Zealand.
Tonya J FrewThe New Zealand Institute for Plant & Food Research Limited, PO Box 4704, Christchurch, New Zealand.
Sarah R MurrayThe New Zealand Institute for Plant & Food Research Limited, PO Box 4704, Christchurch, New Zealand.
Ross CrowhurstThe New Zealand Institute for Plant & Food Research Limited, 120 Mt Albert Rd., Auckland, New Zealand.
Plant & Food Research · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageAdvances have been made in our understanding of Ascochyta blight resistance genetics through mapping candidate genes associated with QTL regions and demonstrating the importance of epistatic interactions in determining resistance. Ascochyta blight disease of pea (Pisum sativum L.) is economically significant with worldwide distribution. The causal pathogens are Didymella pinodes, Phoma medicaginis var pinodella and, in South Australia, P. koolunga. This study aimed to identify candidate genes that map to quantitative trait loci (QTL) for Ascochyta blight field disease resistance and to explore the role of epistatic interactions. Candidate genes associated with QTL were identified beginning with 101 defence-related genes from the published literature. Synteny between pea and Medicago truncatula was used to narrow down the candidates for mapping. Fourteen pea candidate sequences were mapped in two QTL mapping populations, A26 × Rovar and A88 × Rovar. QTL peaks, or the intervals containing QTL peaks, for the Asc2.1, Asc4.2, Asc4.3 and Asc7.1 QTL were defined by four of these candidate genes, while another three candidate genes occurred within 1.0 LOD confidence intervals. Epistasis involving QTL × background marker and background marker × background marker interactions contributed to the disease response phenotypes observed in the two mapping populations. For each population, five pairwise interactions exceeded the 5% false discovery rate threshold. Two candidate genes were involved in significant pairwise interactions. Markers in three genomic regions were involved in two or more epistatic interactions. Therefore, this study has identified pea defence-related sequences that are candidates for resistance determination, and that may be useful for marker-assisted selection. The demonstration of epistasis informs breeders that the architecture of this complex quantitative resistance includes epistatic interactions with non-additive effects.

Indexed as

Epistasis, GeneticGenes, PlantQuantitative Trait LociAscomycotaChromosome MappingDisease ResistanceDNA, PlantGenetic LinkageGenetic MarkersMedicago truncatulaMicrosatellite RepeatsPhenotypePisum sativumPlant DiseasesSequence Analysis, DNASyntenyDNA, PlantGenetic Markers

Identifiers

PMID26801334
OpenAlexW2262070967

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Registered trials

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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.