Evidence map›Paper›PMID 25551674›Full record

ArticleBMC plant biology2014

Two distinct classes of QTL determine rust resistance in sorghum.

Xuemin Wang, Emma Mace, Colleen Hunt, Alan Cruickshank, Robert Henzell, Heidi Parkes, David Jordan

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

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  13. Unlocking new alleles for leaf rust resistance in the Vavilov wheat collection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
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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

7 authors at 3 institutions in 1 country.

Xuemin WangQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, QLD, Australia. x.wang20@uq.edu.au.
Emma MaceDepartment of Agriculture, Fisheries & Forestry (DAFF), Warwick, QLD, Australia. emma.mace@daff.qld.gov.au.
Colleen HuntQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, QLD, Australia. colleen.hunt@daff.qld.gov.au.
Alan CruickshankDepartment of Agriculture, Fisheries & Forestry (DAFF), Warwick, QLD, Australia. alan.cruickshank@daff.qld.gov.au.
Robert HenzellDepartment of Agriculture, Fisheries & Forestry (DAFF), Warwick, QLD, Australia. david.jordan@uq.edu.au.
Heidi ParkesDepartment of Agriculture, Fisheries & Forestry (DAFF), Stanthorpe, QLD, Australia. heidi.parkes@daff.qld.gov.au.
David JordanQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, Warwick, QLD, Australia. david.jordan@uq.edu.au.
Department of Agriculture, Fisheries and ForestryAgriculture and Food · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAgriculture is facing enormous challenges to feed a growing population in the face of rapidly evolving pests and pathogens. The rusts, in particular, are a major pathogen of cereal crops with the potential to cause large reductions in yield. Improving stable disease resistance is an on-going major and challenging focus for many plant breeding programs, due to the rapidly evolving nature of the pathogen. Sorghum is a major summer cereal crop that is also a host for a rust pathogen Puccinia purpurea, which occurs in almost all sorghum growing areas of the world, causing direct and indirect yield losses in sorghum worldwide, however knowledge about its genetic control is still limited. In order to further investigate this issue, QTL and association mapping methods were implemented to study rust resistance in three bi-parental populations and an association mapping set of elite breeding lines in different environments.

resultsIn total, 64 significant or highly significant QTL and 21 suggestive rust resistance QTL were identified representing 55 unique genomic regions. Comparisons across populations within the current study and with rust QTL identified previously in both sorghum and maize revealed a high degree of correspondence in QTL location. Negative phenotypic correlations were observed between rust, maturity and height, indicating a trend for both early maturing and shorter genotypes to be more susceptible to rust.

conclusionsThe significant amount of QTL co-location across traits, in addition to the consistency in the direction of QTL allele effects, has provided evidence to support pleiotropic QTL action across rust, height, maturity and stay-green, supporting the role of carbon stress in susceptibility to rust. Classical rust resistance QTL regions that did not co-locate with height, maturity or stay-green QTL were found to be significantly enriched for the defence-related NBS-encoding gene family, in contrast to the lack of defence-related gene enrichment in multi-trait effect rust resistance QTL. The distinction of disease resistance QTL hot-spots, enriched with defence-related gene families from QTL which impact on development and partitioning, provides plant breeders with knowledge which will allow for fast-tracking varieties with both durable pathogen resistance and appropriate adaptive traits.

Indexed as

Quantitative Trait LociFungiSorghum

Identifiers

PMID25551674
PMCPMC4335369
OpenAlexW2163497559

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.