ArticleBMC genomics2014
Homoeologous duplicated regions are involved in quantitative resistance of Brassica napus to stem canker.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed, 49 citations in OpenAlex.
- Whole-Genome Sequence of Synthesized Allopolyploids inAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Identification of resistance loci against new pathotypes of Plasmodiophora brassicae in Brassica napus based on genome-wide association mapping.Scientific reports · 2021Article
- TheFrontiers in plant science · 2021Article
- Identification of resistance loci in Chinese and Canadian canola/rapeseed varieties against Leptosphaeria maculans based on genome-wide association studies.BMC genomics · 2020Article
- Exploring Mechanisms of Quantitative Resistance toPlants (Basel, Switzerland) · 2020Article
- Genetic and physical mapping of loci for resistance to blackleg disease in canola (Brassica napus L.).Scientific reports · 2020Article
- An update on the arsenal: mining resistance genes for disease management ofHorticulture research · 2020Review
- Genome-Wide Association Mapping Identifies Novel Loci for Quantitative Resistance to Blackleg Disease in Canola.Frontiers in plant science · 2020Article
- Molecular and genetic analysis of defensive responses of Brassica juncea - B. fruticulosa introgression lines to Sclerotinia infection.Scientific reports · 2019Article
- Detection of First Marker Trait Associations for Resistance AgainstFrontiers in plant science · 2019Article
- Finding invisible quantitative trait loci with missing data.Plant biotechnology journal · 2018Article
- Multi-year linkage and association mapping confirm the high number of genomic regions involved in oilseed rape quantitative resistance to blackleg.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Genomic Prediction Using Prior Quantitative Trait Loci Information Reveals a Large Reservoir of Underutilised Blackleg Resistance in Diverse Canola (The plant genome · 2018Article
- Stable Quantitative Resistance Loci to Blackleg Disease in Canola (Frontiers in plant science · 2018Article
- Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus.Plant biotechnology journal · 2017Article
- The Impact of Open Pollination on the Structural Evolutionary Dynamics, Meiotic Behavior, and Fertility of Resynthesized AllotetraploidG3 (Bethesda, Md.) · 2017Article
- Current Status and Challenges in Identifying Disease Resistance Genes inFrontiers in plant science · 2017Review
- Genome-Wide Association Studies In Plant Pathosystems: Toward an Ecological Genomics Approach.Frontiers in plant science · 2017Review
- Genetic basis of nitrogen use efficiency and yield stability across environments in winter rapeseed.BMC genetics · 2016Article
- Genome-wide association analysis and differential expression analysis of resistance to Sclerotinia stem rot in Brassica napus.Plant biotechnology journal · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral major crop species are current or ancient polyploids. To better describe the genetic factors controlling traits of agronomic interest (QTL), it is necessary to understand the structural and functional organisation of these QTL regions in relation to genome duplication. We investigated quantitative resistance to the fungal disease stem canker in Brassica napus, a highly duplicated amphidiploid species, to assess the proportion of resistance QTL located at duplicated positions.
resultsGenome-wide association analysis on a panel of 116 oilseed rape varieties genotyped with 3228 SNP indicated that 321 markers, corresponding to 64 genomic regions, are associated with resistance to stem canker. These genomic regions are relatively equally distributed on the A (53%) and C (47%) genomes of B. napus. Overall, 44% of these regions (28/64) are duplicated homoeologous regions. They are located in duplications of six (E, J, R, T, U and W) of the 24 ancestral blocks that constitute the B. napus genome. Overall, these six ancestral blocks have 34 duplicated copies in the B.napus genome. Almost all of the duplicated copies (82% of the 34 regions) harboured resistance associated markers for stem canker resistance, which suggests structural and functional conservation of genetic factors involved in this trait in B. napus.
conclusionsOur study provides information on the involvement of duplicated loci in the control of stem canker resistance in B. napus. Further investigation of the similarity/divergence in sequence and gene content of these duplicated regions will provide insight into the conservation and allelic diversity of the underlying genes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.