| Chapter title |
Root Development in Medicago truncatula: Lessons from Genetics to Functional Genomics
|
|---|---|
| Chapter number | 15 |
| Book title |
Functional Genomics in Medicago truncatula
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-8633-0_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8632-3, 978-1-4939-8633-0
|
| Authors |
Hélène Proust, Caroline Hartmann, Martin Crespi, Christine Lelandais-Brière, Proust, Hélène, Hartmann, Caroline, Crespi, Martin, Lelandais-Brière, Christine |
| Abstract |
This decade introduced "omics" approaches, such as genomics, transcriptomics, proteomics, and metabolomics in association with reverse and forward genetic approaches, developed earlier, to try to identify molecular pathways involved in the development or in the response to environmental conditions as well as in animals and plants. This review summarizes studies that utilized "omics" strategies to unravel the root development in the model legume Medicago truncatula and how external factors such as soil mineral status or the presence of bacteria and fungi affect root system architecture in this species. We also compare these "omics" data to the knowledges concerning the Arabidopsis thaliana root development, nowadays considered as the model of allorhiz root systems. However, unlike legumes, this species is unable to interact with soil nitrogen-fixing rhizobia and arbuscular-mycorrhizal (AM) fungi to develop novel root-derived symbiotic structures. Differences in root organization, development, and regulatory pathways between these two model species have been highlighted. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 2 | 22% |
| Professor | 1 | 11% |
| Student > Master | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 56% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Computer Science | 1 | 11% |
| Physics and Astronomy | 1 | 11% |
| Unknown | 1 | 11% |