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Pedigree-Based Deciphering of Genome-Wide Conserved Patterns in an Elite Potato Parental Line

Overview of attention for article published in Frontiers in Plant Science, May 2018
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Title
Pedigree-Based Deciphering of Genome-Wide Conserved Patterns in an Elite Potato Parental Line
Published in
Frontiers in Plant Science, May 2018
DOI 10.3389/fpls.2018.00690
Pubmed ID
Authors

Xiaochuan Li, Jianfei Xu, Shaoguang Duan, Chunsong Bian, Jun Hu, Huolin Shen, Guangcun Li, Liping Jin

Abstract

Elite parental lines are more likely to breed fine varieties, but knowledge about elite parents and their genetic backgrounds is limited. In this paper, we investigated the pedigree relationships of potato varieties bred worldwide and in China. Several elite parents were identified, and these parents were more frequently used as parents in breeding programs across different time periods and countries. We next used 2b-RAD, a reduced-representation sequencing method, to genotype the elite parent Mira and 24 of its offspring. These cultivars span 5 generations, making this lineage the longest continuous pedigree among Chinese bred potatoes. A total of 47,314 tetraploid single nucleotide polymorphisms (SNPs) identified by FreeBayes were used to trace the conserved segments of the Mira genome. The conserved segments had identical or similar allele-specific SNPs across the analyzed genotypes. In Mira, 3,788 segments comprising over 10,000 bp, or 20.8% of the genome, were defined as conserved segments. These segments contain genes involved in crucial biological processes that are of special interest to breeders. These regions, which have been conserved across generations of highly selective breeding, may be helpful for further breeding and performing genome-wide breeding by design.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Unspecified 1 10%
Professor 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 60%
Unspecified 1 10%
Unknown 3 30%
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 28 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Frontiers in Plant Science
#16,571
of 20,707 outputs
Outputs of similar age
#289,910
of 330,273 outputs
Outputs of similar age from Frontiers in Plant Science
#405
of 464 outputs
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