基本信息
views: 0
Career Trajectory
Bio
Evolutionary and Environmental Genomics with yeast and its hybrids
Analysing the relationships between genotype, phenotype and fitness to assess whether gross genomic rearrangements have adaptive value in asexually propagated yeast populations, and to establish their contribution as reproductive isolation barrier between species. Investigate the environmental specificity of genetic interactions, the dispensability and the robustness of biological systems.
Investigate the nature of genomes and protein networks in yeast hybrids of biotechnological and industrial importance. Determine the evolutionary role of chimeric protein complexes and shed light on the possible molecular mechanisms of hybrid vigour. Investigate the role of mitochondrial DNA on the genome evolution of hybrids.
Use of yeast mutant collections in genome profiling and large-scale functional analysis to assess the contribution of individual genes to the organism fitness under different environmental challenges, in the presence of chemical compounds (such as drugs of pharmaceutical relevance) and in different genetic backgrounds.
Large-scale functional analysis of non coding RNA (ncRNA) mutants in yeast, including bar-seq fitness profiles in different environments and Synthetic Genetic Analysis (SGA) to uncover higher order of ncRNA-ncRNA interactions.
Analysing the relationships between genotype, phenotype and fitness to assess whether gross genomic rearrangements have adaptive value in asexually propagated yeast populations, and to establish their contribution as reproductive isolation barrier between species. Investigate the environmental specificity of genetic interactions, the dispensability and the robustness of biological systems.
Investigate the nature of genomes and protein networks in yeast hybrids of biotechnological and industrial importance. Determine the evolutionary role of chimeric protein complexes and shed light on the possible molecular mechanisms of hybrid vigour. Investigate the role of mitochondrial DNA on the genome evolution of hybrids.
Use of yeast mutant collections in genome profiling and large-scale functional analysis to assess the contribution of individual genes to the organism fitness under different environmental challenges, in the presence of chemical compounds (such as drugs of pharmaceutical relevance) and in different genetic backgrounds.
Large-scale functional analysis of non coding RNA (ncRNA) mutants in yeast, including bar-seq fitness profiles in different environments and Synthetic Genetic Analysis (SGA) to uncover higher order of ncRNA-ncRNA interactions.
Research Interests
Papers共 97 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
biorxiv(2024)
Jose Aguiar-Cervera,Federico Visinoni,Penghan Zhang,Katherine Hollywood,Urska Vrhovsek,Oliver Severn,Daniela Delneri
biorxiv(2024)
Federico Visinoni, William Royle,Rachel Scholey, Yue Hu,Soukaina Timouma,Leo Zeef,Edward J Louis,Daniela Delneri
biorxiv(2024)
Norman van Rhijn,Can Zhao,Narjes Al-Furaji,Isabelle S R Storer,Clara Valero,Sara Gago,Harry Chown,Clara Baldin, Rachael-Fortune Grant, Hajer Bin Shuraym, Lia Ivanova, Olaf Kniemeyer,
Nature communicationsno. 1 (2024): 4984-4984
Laura Natalia Balarezo-Cisneros,Soukaina Timouma, Alistair Hanak,Andrew Currin, Francesco Valle,Daniela Delneri
bioRxiv (Cold Spring Harbor Laboratory) (2023)
biorxiv(2023)
Laura N. Balarezo-Cisneros,Soukaina Timouma, Alistair Hanak,Andrew Currin,Fernando Valle,Daniela Delneri
Norman van Rhijn,Can Zhao,Narjes Al-Furaji,Isabelle Storer,Clara Valero,Sara Gago,Harry Chown,Clara Baldin,Rachael Fortune-Grant,Hajer Bin Shuraym, Lia Ivanova, Olaf Kniemeyer,
Research square (2023)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn