Genetic basis of plant adaptation to aridity through evolutionary and ecological transcriptomics and genomics
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| Title: | Main Title: Genetic basis of plant adaptation to aridity through evolutionary and ecological transcriptomics and genomics |
| Descriptions: | Other: Poster publication in the Botanik Tagung 2022. This conference was held in Bonn (Germany) from 28th August until 1st September. Abstract: Deserts with their extreme environmental conditions set high demands on their inhabiting species and plants have adapted to their various abiotic stress factors. However, the genetic basis of adaptations to aridity is only poorly understood. Within the Collaborative Research Centre CRC 1211 'Earth–Evolution at the dry limit', our project aims to identify genetic mechanisms, such as candidate genes, signatures of natural selection, and gene expression patterns, involved in the adaptation of plants to desert habitats. We employ a comparative transcriptomic and genomic approach using phylogenetically distant Loasaceae desert species from the Atacama (Huidobria, Presliophytum) and Namib (Kissenia) as well as their mesic relatives. Long-read PacBio IsoSeq data of 15 Loasaceae species cultivated under controlled conditions in combination with whole genome data for key species, such as Huidobria chilensis, H. fruticosa, and Kissenia capensis will be used to decipher candidate genes, structural variations, and signatures of selection. To evaluate the impact of population structure and environmental conditions on gene expression, we collected RNA, DNA, as well as associated soil samples of Huidobria chilensis individuals from five geographic sites in the Atacama Desert. RNASeq data of these individuals obtained from cultivations under controlled conditions as well as population genetic analyses complement our field-based transcriptomic approach. First results on gene expression under drought stress of Huidobria chilensis seeedlings from two of our targeted geographic sites in the Atacama Desert will be displayed. Our evolutionary and ecological transcriptomic and genomic approach in the interdisciplinary setting of the CRC1211 will lead to a better understanding of the genetic mechanisms underlying the fascinating abilities of desert plants. |
Responsible Party
| Creators: | Paloma Consuelo Morales Sanhueza (Author), Lara Iaboli (Author), Khaoula Ferchichi (Author), Bruno Hüttel (Author), Alex Stoll (Author), Martha Agnes (Author), Thomas Wiehe (Principal Investigator), Dietmar Quandt (Principal Investigator), Julia Bechteler (Principal Investigator) |
| Publisher: | John Wiley & Sons |
| Publication Year: | 2022 |
Topic
| CRC1211 Topic: | Biology |
| Related Subproject: | B7 |
| Subjects: | Keywords: Ecology of Plants, Phylogeny, Biogeography |
| Geogr. Information Topic: | Biota |
File Details
| Filename: | DBG_2022_PMorales_LIaboli.pdf |
| Data Type: | Image - Poster presentation |
| File Size: | 2.2 MB |
| Date: | Accepted: 29.08.2022 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members (Download Embargo will be lifted after project end) |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | [CRC1211DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Accepted |
| Review Status: | Not peer reviewed |
| Publication Type: | Event Paper |
| Number of Pages: | 1 (146 - 146) |
| Event: | Botanik Tagung 2022 |
| Event Type: | Conference |
| Event Location: | Main building of the University of Bonn , Regina-Pacis-Weg 3 |
| Event Duration: | 29th of August, 2022 - 1st of September, 2022 |
| Event Website: | https://www.botanik-tagung.de/ |
Metadata Details
| Metadata Creator: | Paloma Morales |
| Metadata Created: | 11.09.2022 |
| Metadata Last Updated: | 06.12.2023 |
| Subproject: | B7 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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Dataset Statistics
| Page Visits: | 199 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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