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Detlef Weigel

Researcher at Max Planck Society

Publications -  558
Citations -  94360

Detlef Weigel is an academic researcher from Max Planck Society. The author has contributed to research in topics: Arabidopsis & Gene. The author has an hindex of 142, co-authored 516 publications receiving 84670 citations. Previous affiliations of Detlef Weigel include Ludwig Maximilian University of Munich & California Institute of Technology.

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Complex Relationships between Chromatin Accessibility, Sequence Divergence, and Gene Expression in Arabidopsis thaliana.

TL;DR: It is argued that these surprising results highlight the necessity to consider higher‐order regulatory context in evaluating regulatory variation and predicting its phenotypic consequences, and that the vast majority of differentially accessible sites show no underlying sequence variation.
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LOCAS--a low coverage assembly tool for resequencing projects.

TL;DR: LOCAS produces excellent results for homology-guided assembly of eukaryotic genomes with short reads and low sequencing depth, and therefore appears to be the assembly tool of choice for the detection of novel sequence variations in this scenario.
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Draft Genomes of Amaranthus tuberculatus, Amaranthus hybridus, and Amaranthus palmeri.

TL;DR: A combination of Pacific Biosciences long-read sequencing and chromatin contact mapping information was utilized to assemble and order sequences of A. palmeri to near-chromosome-level resolution and to resolve the issues of heterozygosity and coassembly of alleles in diploid species.
Posted ContentDOI

Century-scale methylome stability in a recently diverged Arabidopsis thaliana lineage

TL;DR: Detailed methylome analyses are presented in a geographically dispersed A. thaliana population that constitutes a collection of near-isogenic lines, diverged for at least a century from a common ancestor, and epigenetic divergence thus parallels the pattern of genome-wide DNA sequence divergence.
Posted ContentDOI

Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana

TL;DR: Future genetic changes in A. thaliana populations can be forecast by combining climate change models with genomic predictions based on experimental phenotypic data, and it is predicted that Central European populations might lag behind in adaptation by the end of the 21st century.