| Title |
Genes controlling root development in rice
|
|---|---|
| Published in |
Rice, November 2014
|
| DOI | 10.1186/s12284-014-0030-5 |
| Pubmed ID | |
| Authors |
Chung D Mai, Nhung TP Phung, Huong TM To, Mathieu Gonin, Giang T Hoang, Khanh L Nguyen, Vinh N Do, Brigitte Courtois, Pascal Gantet |
| Abstract |
In this review, we report on the recent developments made using both genetics and functional genomics approaches in the discovery of genes controlling root development in rice. QTL detection in classical biparental mapping populations initially enabled the identification of a very large number of large chromosomal segments carrying root genes. Two segments with large effects have been positionally cloned, allowing the identification of two major genes. One of these genes conferred a tolerance to low phosphate content in soil, while the other conferred a tolerance to drought by controlling root gravitropism, resulting in root system expansion deep in the soil. Findings based on the higher-resolution QTL detection offered by the development of association mapping are discussed. In parallel with genetics approaches, efforts have been made to screen mutant libraries for lines presenting alterations in root development, allowing for the identification of several genes that control different steps of root development, such as crown root and lateral root initiation and emergence, meristem patterning, and the control of root growth. Some of these genes are closely phylogenetically related to Arabidopsis genes involved in the control of lateral root initiation. This close relationship stresses the conservation among plant species of an auxin responsive core gene regulatory network involved in the control of post-embryonic root initiation. In addition, we report on several genetic regulatory pathways that have been described only in rice. The complementarities and the expected convergence of the direct and reverse genetic approaches used to decipher the genetic determinants of root development in rice are discussed in regards to the high diversity characterizing this species and to the adaptations of rice root system architecture to different edaphic environments. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| United States | 1 | <1% |
| Benin | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 207 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 26% |
| Researcher | 38 | 18% |
| Student > Master | 23 | 11% |
| Student > Bachelor | 12 | 6% |
| Student > Doctoral Student | 9 | 4% |
| Other | 34 | 16% |
| Unknown | 40 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 132 | 63% |
| Biochemistry, Genetics and Molecular Biology | 24 | 11% |
| Environmental Science | 3 | 1% |
| Chemical Engineering | 2 | <1% |
| Engineering | 2 | <1% |
| Other | 7 | 3% |
| Unknown | 41 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2015.
All research outputs
#17,766,929
of 22,818,766 outputs
Outputs from Rice
#227
of 385 outputs
Outputs of similar age
#248,295
of 362,088 outputs
Outputs of similar age from Rice
#3
of 3 outputs
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