Evidence map›Paper›PMID 23718194›Full record

ArticleBMC genomics2013

Quantitative trait loci in hop (Humulus lupulus L.) reveal complex genetic architecture underlying variation in sex, yield and cone chemistry.

Erin L McAdam, Jules S Freeman, Simon P Whittock, Emily J Buck, Jernej Jakse, Andreja Cerenak, Branka Javornik, Andrzej Kilian, Cai-Hong Wang, Dave Andersen and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.2field-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

23 citing papers in PubMed, 54 citations in OpenAlex.

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  18. 3D Molecular Cytology of Hop (Frontiers in plant science · 2018
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  20. Genomic approaches to selection in outcrossing perennials: focus on essential oil crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Review
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

17 authors at 5 institutions in 4 countries.

Erin L McAdamSchool of Plant Science, University of Tasmania, Hobart, TAS 7001, Australia. Erin.Howard@utas.edu.au
Jules S Freeman
Simon P Whittock
Emily J Buck
Jernej Jakse
Andreja Cerenak
Branka Javornik
Andrzej Kilian
Cai-Hong Wang
Dave Andersen
René E Vaillancourt
Jason Carling
Ron Beatson
Lawrence Graham
Donna Graham
Peter Darby
Anthony Koutoulis
Plant & Food Research · NZUniversity of Tasmania · AUUniversity of Ljubljana · SIQingdao Agricultural University · CNSlovenian Institute of Hop Research and Brewing · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHop (Humulus lupulus L.) is cultivated for its cones, the secondary metabolites of which contribute bitterness, flavour and aroma to beer. Molecular breeding methods, such as marker assisted selection (MAS), have great potential for improving the efficiency of hop breeding. The success of MAS is reliant on the identification of reliable marker-trait associations. This study used quantitative trait loci (QTL) analysis to identify marker-trait associations for hop, focusing on traits related to expediting plant sex identification, increasing yield capacity and improving bittering, flavour and aroma chemistry.

resultsQTL analysis was performed on two new linkage maps incorporating transferable Diversity Arrays Technology (DArT) markers. Sixty-three QTL were identified, influencing 36 of the 50 traits examined. A putative sex-linked marker was validated in a different pedigree, confirming the potential of this marker as a screening tool in hop breeding programs. An ontogenetically stable QTL was identified for the yield trait dry cone weight; and a QTL was identified for essential oil content, which verified the genetic basis for variation in secondary metabolite accumulation in hop cones. A total of 60 QTL were identified for 33 secondary metabolite traits. Of these, 51 were pleiotropic/linked, affecting a substantial number of secondary metabolites; nine were specific to individual secondary metabolites.

conclusionsPleiotropy and linkage, found for the first time to influence multiple hop secondary metabolites, have important implications for molecular selection methods. The selection of particular secondary metabolite profiles using pleiotropic/linked QTL will be challenging because of the difficulty of selecting for specific traits without adversely changing others. QTL specific to individual secondary metabolites, however, offer unequalled value to selection programs. In addition to their potential for selection, the QTL identified in this study advance our understanding of the genetic control of traits of current economic and breeding significance in hop and demonstrate the complex genetic architecture underlying variation in these traits. The linkage information obtained in this study, based on transferable markers, can be used to facilitate the validation of QTL, crucial to the success of MAS.

Indexed as

Quantitative Trait LociSex CharacteristicsFlowersGenetic LinkageGenetic MarkersHumulusPhenotypeGenetic Markers

Identifiers

PMID23718194
PMCPMC3680207
OpenAlexW2127660078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.