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Detection and genotyping of restriction fragment associated polymorphisms in polyploid crops with a pseudo-reference sequence: a case study in allotetraploid Brassica napus

Overview of attention for article published in BMC Genomics, May 2013
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Title
Detection and genotyping of restriction fragment associated polymorphisms in polyploid crops with a pseudo-reference sequence: a case study in allotetraploid Brassica napus
Published in
BMC Genomics, May 2013
DOI 10.1186/1471-2164-14-346
Pubmed ID
Authors

Xun Chen, Xuemin Li, Bing Zhang, Jinsong Xu, Zhikun Wu, Bo Wang, Haitao Li, Muhammad Younas, Lei Huang, Yingfeng Luo, Jiangsheng Wu, Songnian Hu, Kede Liu

Abstract

BACKGROUND: The presence of homoeologous sequences and absence of a reference genome sequence make discovery and genotyping of single nucleotide polymorphisms (SNPs) more challenging in polyploid crops. RESULTS: To address this challenge, we constructed reduced representation libraries (RRLs) for two Brassica napus inbred lines and their 91 doubled haploid (DH) progenies using a modified ddRADseq technique. A bioinformatics pipeline termed RFAPtools was developed to discover and genotype SNPs and presence/absence variations (PAVs). Using this pipeline, a pseudo-reference sequence (PRF) containing 180,991 sequence tags was constructed. By aligning sequence reads to the pseudo-reference sequence, allelic SNPs as well as PAVs were identified and genotyped with RFAPtools. Two parallel linkage maps, one SNP bin map containing 8,780 SNP loci and one PAV linkage map containing 12,423 dominant loci, were constructed. By aligning marker sequences to B. rapa sequence scaffolds, whose genome is available, we assigned 44 unassembled sequence scaffolds comprising 8.15 Mb onto the B. rapa chromosomes, and also identified 14 instances of misassembly and eight instances of mis-ordering sequence scaffolds. CONCLUSIONS: These results indicate that the modified ddRADseq approach is a cost-effective and simple method to genotype tens of thousands SNPs and PAV markers in a polyploidy plant species. The results also demonstrated that RFAPtools developed in this study are powerful to mine allelic SNPs from homoeologous sequences in polyploids, therefore they are generally applicable in either diploid or polyploid species with or without a reference genome sequence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 3%
United States 3 3%
Australia 1 <1%
France 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 95 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 28%
Researcher 29 28%
Student > Master 13 12%
Professor > Associate Professor 6 6%
Student > Bachelor 4 4%
Other 11 10%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 68%
Biochemistry, Genetics and Molecular Biology 9 9%
Environmental Science 5 5%
Unspecified 1 <1%
Mathematics 1 <1%
Other 0 0%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 June 2013.
All research outputs
#14,753,796
of 22,711,242 outputs
Outputs from BMC Genomics
#6,117
of 10,626 outputs
Outputs of similar age
#115,628
of 195,240 outputs
Outputs of similar age from BMC Genomics
#65
of 120 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 195,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.