Chapter title |
Molecular Aspects of Conifer Zygotic and Somatic Embryo Development: A Review of Genome-Wide Approaches and Recent Insights.
|
---|---|
Chapter number | 8 |
Book title |
In Vitro Embryogenesis in Higher Plants
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3061-6_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3060-9, 978-1-4939-3061-6
|
Authors |
Trontin, Jean-François, Klimaszewska, Krystyna, Morel, Alexandre, Hargreaves, Catherine, Lelu-Walter, Marie-Anne, Jean-François Trontin, Krystyna Klimaszewska, Alexandre Morel, Catherine Hargreaves, Marie-Anne Lelu-Walter |
Abstract |
Genome-wide profiling (transcriptomics, proteomics, metabolomics) is providing unprecedented opportunities to unravel the complexity of coordinated gene expression during embryo development in trees, especially conifer species harboring "giga-genome." This knowledge should be critical for the efficient delivery of improved varieties through seeds and/or somatic embryos in fluctuating markets and to cope with climate change. We reviewed "omics" as well as targeted gene expression studies during both somatic and zygotic embryo development in conifers and tentatively puzzled over the critical processes and genes involved at the specific developmental and transition stages. Current limitations to the interpretation of these large datasets are going to be lifted through the ongoing development of comprehensive genome resources in conifers. Nevertheless omics already confirmed that master regulators (e.g., transcription and epigenetic factors) play central roles. As in model angiosperms, the molecular regulation from early to late embryogenesis may mainly arise from spatiotemporal modulation of auxin-, gibberellin-, and abscisic acid-mediated responses. Omics also showed the potential for the development of tools to assess the progress of embryo development or to build genotype-independent, predictive models of embryogenesis-specific characteristics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 28% |
Student > Ph. D. Student | 7 | 15% |
Student > Master | 6 | 13% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 4 | 9% |
Other | 4 | 9% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 50% |
Biochemistry, Genetics and Molecular Biology | 9 | 20% |
Environmental Science | 1 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 3 | 7% |
Unknown | 8 | 17% |