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Genomic Heterogeneity and Structural Variation in Soybean Near Isogenic Lines

Overview of attention for article published in Frontiers in Plant Science, January 2013
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Title
Genomic Heterogeneity and Structural Variation in Soybean Near Isogenic Lines
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00104
Pubmed ID
Authors

Adrian O. Stec, Pudota B. Bhaskar, Yung-Tsi Bolon, Rebecca Nolan, Randy C. Shoemaker, Carroll P. Vance, Robert M. Stupar

Abstract

Near isogenic lines (NILs) are a critical genetic resource for the soybean research community. The ability to identify and characterize the genes driving the phenotypic differences between NILs is limited by the degree to which differential genetic introgressions can be resolved. Furthermore, the genetic heterogeneity extant among NIL sub-lines is an unaddressed research topic that might have implications for how genomic and phenotypic data from NILs are utilized. In this study, a recently developed high-resolution comparative genomic hybridization (CGH) platform was used to investigate the structure and diversity of genetic introgressions in two classical soybean NIL populations, respectively varying in protein content and iron deficiency chlorosis (IDC) susceptibility. There were three objectives: assess the capacity for CGH to resolve genomic introgressions, identify introgressions that are heterogeneous among NIL sub-lines, and associate heterogeneous introgressions with susceptibility to IDC. Using the CGH approach, introgression boundaries were refined and previously unknown introgressions were revealed. Furthermore, heterogeneous introgressions were identified within seven sub-lines of the IDC NIL "IsoClark." This included three distinct introgression haplotypes linked to the major iron susceptible locus on chromosome 03. A phenotypic assessment of the seven sub-lines did not reveal any differences in IDC susceptibility, indicating that the genetic heterogeneity among the lines does not have a significant impact on the primary NIL phenotype.

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Mendeley readers

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The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Student > Master 6 23%
Student > Ph. D. Student 3 12%
Other 3 12%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 65%
Biochemistry, Genetics and Molecular Biology 4 15%
Computer Science 2 8%
Environmental Science 1 4%
Unknown 2 8%
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 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Frontiers in Plant Science
#15,844
of 19,940 outputs
Outputs of similar age
#248,737
of 280,717 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
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