Stöcker, Tyll Gordian: Bioinformatics software and analyses for inference of gene functional relationships in crops. - Bonn, 2025. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-83251
@phdthesis{handle:20.500.11811/13135,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-83251,
author = {{Tyll Gordian Stöcker}},
title = {Bioinformatics software and analyses for inference of gene functional relationships in crops},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2025,
month = jun,

note = {Associating interesting phenotypic traits with causal genes and elucidating the underlying gene functional relationships is of great importance to crop breeding and improvement efforts. To this end, the research presented in this cumulative thesis has included the use of established approaches, such as differential transcriptomics and bulked-segregant analysis, as well as the development of novel bioinformatics solutions for both the automatic analysis of insertional mutagenesis libraries and the in silico prediction of trait-associated gene families.
An efficient bioinformatics software solution called MuWU (Mutant-Seq Workflow Utility) for the identification and annotation of heritable mutations caused by Mutator transposon insertion sites was developed and proved central to the establishment and continuous extension of the world’s largest sequence-indexed insertional mutagenesis library in maize – BonnMu.
Demonstrating the feasibility of a new custom computational pipeline for identification and characterization of underlying causal genes of phenotypes generated as part of BonnMu or via similar efforts, the first acyl-CoA reductase (FAR) in a barley wax mutant was reported. With this, the wax biosynthetic pathway in barley (currently the world’s fourth most cultivated cereal) was further elucidated. Identifying (cuticular) wax-related genes aids crop breeding by offering new avenues to improve resilience against a lack of water caused by droughts or heat stress.
Analyses of gene functional relationships in crops were also performed with the inclusion of environmental stimuli. Using poplar hybrids (Populus x cancescens) the global gene regulatory effects of abiotic stresses were investigated, with special emphasis on the hydrophobic biopolymer suberin. The results indicated that the genetic enhancement of poplar root suberization could be a worthwhile strategy for genetically optimized poplar trees. These could be suitable for cultivation on water-limited and/or salty land that would be unusable for food production, thus being a great benefit to agroforestry.
Lastly, A2TEA (Automated Assessment of Trait-specific Evolutionary Adaptations) an entirely new approach and accompanying software suite for predicting genes important for stress tolerance via inference of evolutionary adaptation events was developed.
In summary, this thesis presents new bioinformatics tools for unraveling gene functional relationships and novel insights into important agronomic traits central to future breeding efforts.},

url = {https://hdl.handle.net/20.500.11811/13135}
}

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