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SNP markers‐based map construction and genome‐wide linkage analysis in Brassica napus

Overview of attention for article published in Plant Biotechnology Journal, April 2014
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Title
SNP markers‐based map construction and genome‐wide linkage analysis in Brassica napus
Published in
Plant Biotechnology Journal, April 2014
DOI 10.1111/pbi.12186
Pubmed ID
Authors

Harsh Raman, Jessica Dalton‐Morgan, Simon Diffey, Rosy Raman, Salman Alamery, David Edwards, Jacqueline Batley

Abstract

An Illumina Infinium array comprising 5306 single nucleotide polymorphism (SNP) markers was used to genotype 175 individuals of a doubled haploid population derived from a cross between Skipton and Ag-Spectrum, two Australian cultivars of rapeseed (Brassica napus L.). A genetic linkage map based on 613 SNP and 228 non-SNP (DArT, SSR, SRAP and candidate gene markers) covering 2514.8 cM was constructed and further utilized to identify loci associated with flowering time and resistance to blackleg, a disease caused by the fungus Leptosphaeria maculans. Comparison between genetic map positions of SNP markers and the sequenced Brassica rapa (A) and Brassica oleracea (C) genome scaffolds showed several genomic rearrangements in the B. napus genome. A major locus controlling resistance to L. maculans was identified at both seedling and adult plant stages on chromosome A07. QTL analyses revealed that up to 40.2% of genetic variation for flowering time was accounted for by loci having quantitative effects. Comparative mapping showed Arabidopsis and Brassica flowering genes such as Phytochrome A/D, Flowering Locus C and agamous-Like MADS box gene AGL1 map within marker intervals associated with flowering time in a DH population from Skipton/Ag-Spectrum. Genomic regions associated with flowering time and resistance to L. maculans had several SNP markers mapped within 10 cM. Our results suggest that SNP markers will be suitable for various applications such as trait introgression, comparative mapping and high-resolution mapping of loci in B. napus.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Australia 1 1%
Unknown 80 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Researcher 14 17%
Student > Bachelor 7 9%
Student > Master 5 6%
Other 4 5%
Other 9 11%
Unknown 18 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 69%
Biochemistry, Genetics and Molecular Biology 3 4%
Mathematics 1 1%
Environmental Science 1 1%
Physics and Astronomy 1 1%
Other 1 1%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2015.
All research outputs
#19,259,981
of 24,525,936 outputs
Outputs from Plant Biotechnology Journal
#1,780
of 2,151 outputs
Outputs of similar age
#160,467
of 230,330 outputs
Outputs of similar age from Plant Biotechnology Journal
#18
of 20 outputs
Altmetric has tracked 24,525,936 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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