Sandra Unterseer

Sandra Unterseer

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Sandra Unterseer

Plant Breeding, Technical University of Munich, Freising, Germany, 85354

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 September 2014 in BMC Genomics
Verified
Journal Article
Open access
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SUSandra Unterseer
Sandra Unterseer
EBEva Bauer
Eva Bauer
GHGeorg Haberer
Georg Haberer
MSMichael Seidel
Michael Seidel
CKCarsten Knaak
Carsten Knaak
CSChris-Carolin Schön
Chris-Carolin Schön
High density genotyping data are indispensable for genomic analyses of complex traits in animal and crop species. Maize is one of the most important crop plants worldwide, however a high density SNP genotyping array for analysis of its large and highly dynamic genome was not available so far. We developed a high density maize SNP array composed of 616,201 variants (SNPs and small indels). Initially, 57 M variants were discovered by sequencing 30 representative temperate maize lines and then stringently filtered for sequence quality scores and predicted conversion performance on the array resulting in the selection of 1.2 M polymorphic variants assayed on two screening arrays. To identify high-confidence variants, 285 DNA samples from a broad genetic diversity panel of worldwide maize lines including the samples used for sequencing, important founder lines for European maize breeding, hybrids, and proprietary samples with European, US, semi-tropical, and tropical origin were used for experimental validation. We selected 616 k variants according to their performance during validation, support of genotype calls through sequencing data, and physical distribution for further analysis and for the design of the commercially available Affymetrix® Axiom® Maize Genotyping Array. This array is composed of 609,442 SNPs and 6,759 indels. Among these are 116,224 variants in coding regions and 45,655 SNPs of the Illumina® MaizeSNP50 BeadChip for study comparison. In a subset of 45,974 variants, apart from the target SNP additional off-target variants are detected, which show only a minor bias towards intermediate allele frequencies. We performed principal coordinate and admixture analyses to determine the ability of the array to detect and resolve population structure and investigated the extent of LD within a worldwide validation panel. The high density Affymetrix® Axiom® Maize Genotyping Array is optimized for European and American temperate maize and was developed based on a diverse sample panel by applying stringent quality filter criteria to ensure its suitability for a broad range of applications. With 600 k variants it is the largest currently publically available genotyping array in crop species.

8 July 2016 in Genome Biology
Verified
Journal Article
Open access
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SUSandra Unterseer
Sandra Unterseer
SPSaurabh D. Pophaly
Saurabh D. Pophaly
RPRegina Peis
Regina Peis
PWPeter Westermeier
Peter Westermeier
MMManfred Mayer
Manfred Mayer
CSChris-Carolin Schön
Chris-Carolin Schön
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.

27 January 2017 in bioRxiv
Verified
Preprint
Open access
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SUSandra Unterseer
Sandra Unterseer
MSMichael A. Seidel
Michael A. Seidel
EBEva Bauer
Eva Bauer
GHGeorg Haberer
Georg Haberer
FHFrank Hochholdinger
Frank Hochholdinger
CSChris-Carolin Schön
Chris-Carolin Schön
The genomic diversity of maize is reflected by a large number of SNPs and substantial structural variation. Here, we report the de novo assembly of two European Flint maize lines to remedy the scarcity of sequence resources for the Flint pool. EP1 and F7 are important founder lines of European hybrid breeding programs. The lines were sequenced on an Illumina platform at 320X and 225X coverage. Using NRGene´s DeNovoMAGIC 2.0 technology, pseudochromosomes were assembled encompassing a total of 2,463 Mb for EP1 and 2,405 Mb for F7. Structural and functional annotation of the two genomes is currently in progress. The two high-quality de novo assemblies complement the existing maize pan-genome and will pave the way for future functional and comparative studies.