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Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data

Overview of attention for article published in BMC Genomics, August 2015
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Title
Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data
Published in
BMC Genomics, August 2015
DOI 10.1186/s12864-015-1797-5
Pubmed ID
Authors

Jian Liu, Jingtao Qu, Cong Yang, Dengguo Tang, Jingwei Li, Hai Lan, Tingzhao Rong

Abstract

Insertions and deletions (indels) are the most abundant form of structural variation in all genomes. Indels have been increasingly recognized as an important source of molecular markers due to high-density occurrence, cost-effectiveness, and ease of genotyping. Coupled with developments in bioinformatics, next-generation sequencing (NGS) platforms enable the discovery of millions of indel polymorphisms by comparing the whole genome sequences of individuals within a species. A total of 1,973,746 unique indels were identified in 345 maize genomes, with an overall density of 958.79 indels/Mbp, and an average allele number of 2.76, ranging from 2 to 107. There were 264,214 indels with polymorphism information content (PIC) values greater than or equal to 0.5, accounting for 13.39 % of overall indels. Of these highly polymorphic indels, we designed primer pairs for 83,481 and 29,403 indels with major allele differences (i.e. the size difference between the most and second most frequent alleles) greater than or equal to 3 and 8 bp, respectively, based on the differing resolution capabilities of gel electrophoresis. The accuracy of our indel markers was experimentally validated, and among 100 indel markers, average accuracy was approximately 90 %. In addition, we also validated the polymorphism of the indel markers. Of 100 highly polymorphic indel markers, all had polymorphisms with average PIC values of 0.54. The maize genome is rich in indel polymorphisms. Intriguingly, the level of polymorphism in genic regions of the maize genome was higher than that in intergenic regions. The polymorphic indel markers developed from this study may enhance the efficiency of genetic research and marker-assisted breeding in maize.

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Geographical breakdown

Country Count As %
Netherlands 1 3%
France 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Doctoral Student 5 17%
Student > Master 5 17%
Researcher 5 17%
Student > Bachelor 1 3%
Other 1 3%
Unknown 7 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 53%
Biochemistry, Genetics and Molecular Biology 3 10%
Business, Management and Accounting 1 3%
Economics, Econometrics and Finance 1 3%
Engineering 1 3%
Other 0 0%
Unknown 8 27%
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 14 August 2015.
All research outputs
#15,342,608
of 22,821,814 outputs
Outputs from BMC Genomics
#6,694
of 10,654 outputs
Outputs of similar age
#154,980
of 264,395 outputs
Outputs of similar age from BMC Genomics
#189
of 254 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,654 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.