@article{CrawfordKaramatLehotaietal.2020, author = {Crawford, Tim and Karamat, Fazeelat and Lehotai, N{\´o}ra and Rentoft, Matilda and Blomberg, Jeanette and Strand, {\AA}sa and Bj{\"o}rklund, Stefan}, title = {Specific functions for mediator complex subunits from different modules in the transcriptional response of arabidopsis thaliana to abiotic stress}, series = {Scientific reports}, volume = {10}, journal = {Scientific reports}, number = {1}, publisher = {Macmillan Publishers Limited, part of Springer Nature}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-020-61758-w}, pages = {1 -- 18}, year = {2020}, abstract = {Adverse environmental conditions are detrimental to plant growth and development. Acclimation to abiotic stress conditions involves activation of signaling pathways which often results in changes in gene expression via networks of transcription factors (TFs). Mediator is a highly conserved co-regulator complex and an essential component of the transcriptional machinery in eukaryotes. Some Mediator subunits have been implicated in stress-responsive signaling pathways; however, much remains unknown regarding the role of plant Mediator in abiotic stress responses. Here, we use RNA-seq to analyze the transcriptional response of Arabidopsis thaliana to heat, cold and salt stress conditions. We identify a set of common abiotic stress regulons and describe the sequential and combinatorial nature of TFs involved in their transcriptional regulation. Furthermore, we identify stress-specific roles for the Mediator subunits MED9, MED16, MED18 and CDK8, and putative TFs connecting them to different stress signaling pathways. Our data also indicate different modes of action for subunits or modules of Mediator at the same gene loci, including a co-repressor function for MED16 prior to stress. These results illuminate a poorly understood but important player in the transcriptional response of plants to abiotic stress and identify target genes and mechanisms as a prelude to further biochemical characterization.}, language = {en} } @misc{CrawfordKaramatLehotaietal.2020, author = {Crawford, Tim and Karamat, Fazeelat and Lehotai, N{\´o}ra and Rentoft, Matilda and Blomberg, Jeanette and Strand, {\AA}sa and Bj{\"o}rklund, Stefan}, title = {Specific functions for mediator complex subunits from different modules in the transcriptional response of arabidopsis thaliana to abiotic stress}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1}, issn = {1866-8372}, doi = {10.25932/publishup-51366}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-513666}, pages = {20}, year = {2020}, abstract = {Adverse environmental conditions are detrimental to plant growth and development. Acclimation to abiotic stress conditions involves activation of signaling pathways which often results in changes in gene expression via networks of transcription factors (TFs). Mediator is a highly conserved co-regulator complex and an essential component of the transcriptional machinery in eukaryotes. Some Mediator subunits have been implicated in stress-responsive signaling pathways; however, much remains unknown regarding the role of plant Mediator in abiotic stress responses. Here, we use RNA-seq to analyze the transcriptional response of Arabidopsis thaliana to heat, cold and salt stress conditions. We identify a set of common abiotic stress regulons and describe the sequential and combinatorial nature of TFs involved in their transcriptional regulation. Furthermore, we identify stress-specific roles for the Mediator subunits MED9, MED16, MED18 and CDK8, and putative TFs connecting them to different stress signaling pathways. Our data also indicate different modes of action for subunits or modules of Mediator at the same gene loci, including a co-repressor function for MED16 prior to stress. These results illuminate a poorly understood but important player in the transcriptional response of plants to abiotic stress and identify target genes and mechanisms as a prelude to further biochemical characterization.}, language = {en} } @article{KappelFriedrichOberkofleretal.2023, author = {Kappel, Christian and Friedrich, Thomas and Oberkofler, Vicky and Jiang, Li and Crawford, Tim and Lenhard, Michael and B{\"a}urle, Isabel}, title = {Genomic and epigenomic determinants of heat stress-induced transcriptional memory in Arabidopsis}, series = {Genome biology : biology for the post-genomic era}, volume = {24}, journal = {Genome biology : biology for the post-genomic era}, number = {1}, publisher = {BioMed Central}, address = {London}, issn = {1474-760X}, doi = {10.1186/s13059-023-02970-5}, pages = {23}, year = {2023}, abstract = {Background Transcriptional regulation is a key aspect of environmental stress responses. Heat stress induces transcriptional memory, i.e., sustained induction or enhanced re-induction of transcription, that allows plants to respond more efficiently to a recurrent HS. In light of more frequent temperature extremes due to climate change, improving heat tolerance in crop plants is an important breeding goal. However, not all heat stress-inducible genes show transcriptional memory, and it is unclear what distinguishes memory from non-memory genes. To address this issue and understand the genome and epigenome architecture of transcriptional memory after heat stress, we identify the global target genes of two key memory heat shock transcription factors, HSFA2 and HSFA3, using time course ChIP-seq. Results HSFA2 and HSFA3 show near identical binding patterns. In vitro and in vivo binding strength is highly correlated, indicating the importance of DNA sequence elements. In particular, genes with transcriptional memory are strongly enriched for a tripartite heat shock element, and are hallmarked by several features: low expression levels in the absence of heat stress, accessible chromatin environment, and heat stress-induced enrichment of H3K4 trimethylation. These results are confirmed by an orthogonal transcriptomic data set using both de novo clustering and an established definition of memory genes. Conclusions Our findings provide an integrated view of HSF-dependent transcriptional memory and shed light on its sequence and chromatin determinants, enabling the prediction and engineering of genes with transcriptional memory behavior.}, language = {en} }