↓ Skip to main content

A comprehensive study of the genomic differentiation between temperate Dent and Flint maize

Overview of attention for article published in Genome Biology, July 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
5 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
84 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A comprehensive study of the genomic differentiation between temperate Dent and Flint maize
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-1009-x
Pubmed ID
Authors

Sandra Unterseer, Saurabh D. Pophaly, Regina Peis, Peter Westermeier, Manfred Mayer, Michael A. Seidel, Georg Haberer, Klaus F. X. Mayer, Bernardo Ordas, Hubert Pausch, Aurélien Tellier, Eva Bauer, Chris-Carolin Schön

Abstract

Dent and Flint represent two major germplasm pools exploited in maize breeding. Several traits differentiate the two pools, like cold tolerance, early vigor, and flowering time. A comparative investigation of their genomic architecture relevant for quantitative trait expression has not been reported so far. Understanding the genomic differences between germplasm pools may contribute to a better understanding of the complementarity in heterotic patterns exploited in hybrid breeding and of mechanisms involved in adaptation to different environments. We perform whole-genome screens for signatures of selection specific to temperate Dent and Flint maize by comparing high-density genotyping data of 70 American and European Dent and 66 European Flint inbred lines. We find 2.2 % and 1.4 % of the genes are under selective pressure, respectively, and identify candidate genes associated with agronomic traits known to differ between the two pools. Taking flowering time as an example for the differentiation between Dent and Flint, we investigate candidate genes involved in the flowering network by phenotypic analyses in a Dent-Flint introgression library and find that the Flint haplotypes of the candidates promote earlier flowering. Within the flowering network, the majority of Flint candidates are associated with endogenous pathways in contrast to Dent candidate genes, which are mainly involved in response to environmental factors like light and photoperiod. The diversity patterns of the candidates in a unique panel of more than 900 individuals from 38 European landraces indicate a major contribution of landraces from France, Germany, and Spain to the candidate gene diversity of the Flint elite lines. In this study, we report the investigation of pool-specific differences between temperate Dent and Flint on a genome-wide scale. The identified candidate genes represent a promising source for the functional investigation of pool-specific haplotypes in different genetic backgrounds and for the evaluation of their potential for future crop improvement like the adaptation to specific environments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
Netherlands 1 1%
France 1 1%
Chile 1 1%
Brazil 1 1%
Norway 1 1%
Unknown 76 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 32%
Student > Ph. D. Student 14 17%
Student > Master 13 15%
Professor 4 5%
Professor > Associate Professor 4 5%
Other 13 15%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 61%
Biochemistry, Genetics and Molecular Biology 9 11%
Computer Science 6 7%
Engineering 2 2%
Mathematics 1 1%
Other 2 2%
Unknown 13 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 July 2016.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#133,835
of 370,748 outputs
Outputs of similar age from Genome Biology
#50
of 62 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 370,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.