| Literature DB >> 32098434 |
Yoonha Kim1, Yong Suk Chung2, Eungyeong Lee3, Pooja Tripathi1, Seong Heo4, Kyung-Hwan Kim3.
Abstract
The current unpredictable climate changes are causing frequent and severe droughts. Such circumstances emphasize the need to understand the response of plants to drought stress, especially in rice, one of the most important grain crops. Knowledge of the drought stress response components is especially important in plant roots, the major organ for the absorption of water and nutrients from the soil. Thus, this article reviews the root response to drought stress in rice. It is presented to provide readers with information of use for their own research and breeding program for tolerance to drought stress in rice.Entities:
Keywords: phenomics; physiological response to drought; root architecture; root morphological trait; screening methods for drought stress
Year: 2020 PMID: 32098434 PMCID: PMC7073213 DOI: 10.3390/ijms21041513
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Details of genes involved in drought tolerance.
| Gene | Expression Analysis | Location of Expression | Function in Drought Tolerance | Reference |
|---|---|---|---|---|
|
| Upregulated | Root apical meristem in the root tip and crown root primordia | Influences root growth angle, induces root elongation and deeper rooting | [ |
|
| Upregulated | Leaves and roots | Increases relative water content in leaves, delays leaf rolling symptoms, ensures better stomatal regulation during dehydration, and maintains higher root and shoot biomass | [ |
|
| Downregulated | Stamen, pistil, mature leaves and roots | Increases dehydration tolerance in the seedling stage, regulates scavenging of reactive oxygen species | [ |
|
| Upregulated | Leaf blade | Stomatal closure, maintains the fresh weight of leaves | [ |
|
| Upregulated | Almost all tissues, but higher in callus and panicle | Regulates the ABA-dependent signaling pathway and provides osmotic-stress tolerance | [ |
|
| Upregulated | Leaf sheath, root tissues | Increases root number and length | [ |
|
| Downregulated | Shoot | Regulates cytokinin levels | [ |
|
| Upregulated | Roots | Increases root diameter | [ |
Figure 1Two methods of collecting two-dimensional images. (a) horizontal root crown method in which the roots are placed on a flat surface, and the camera is placed above the roots; (b) vertical root crown method in which the root is hung from the roof and the camera is placed in front of the hanging root.
List of root phenotyping methods in various crops.
| Crop | Trait | Method | Reference |
|---|---|---|---|
| Maize | Root architectural traits of root crown | At harvest, roots were excavated by removing a soil cylinder of 40 cm in diameter and 25-cm depth, with the plant base as the horizontal center of the soil cylinder. After root washing, clean roots were visually scored. | Trachsel et al. [ |
| Arabidopsis ( | Root system architecture | Images were captured of Arabidopsis grown in the agarose gel condition contained in vertically-arranged plates to permit roots to grow on the surface of the medium. | French et al. [ |
| Winter wheat ( | Root development and distribution | Field mini-rhizotrons were set up. Detailed images are available in the attached reference. Transparent rhizotubes were inserted into soil. Then, images were captured by the camera, which was located on both sides of the rhizotubes. The camera was positioned using an indexing handle at 20 observation locations in the tubes. | Cai et al. [ |
| Maize | Root morphology | Germinated seeds were transferred to moistened blotting paper in pouches. Root images were acquired by the scanner and then analyzed by WinRHIZO software. | Hund et al. [ |
| Rice | Root morphology | Rice seeds germinated in Petri plates were transplanted into glass growth cylinders containing 1.3 L of growth medium. The camera was placed in front of the growth cylinder. Image sequences were captured daily for each plant root system grown in the growth medium, consisting of 40 silhouette images taken every 9° for the entire 360° of rotation. RootReader3D software was used for the analysis of the 3D root images. | Clark et al. [ |
| Sweet pea | Analysis of soil aggregates to anticipate water flow toward the root | Sweet pea and sunflower seeds were planted on the surface and were grown for 30 days. An X-ray microtomography image was measured by high-resolution XMT beamline 8.3.2 at the Advanced Light Source (Lawrence Berkeley National Laboratory, USA). Transmitted X-ray light is converted to visible light using a CdWO4 single crystal scintillator, magnified by a Canon 2X lens, and imaged on a Cooke PCO 4000 CCD camera. | Aravena et al. [ |
| Alfalfa | Root system architecture | Alfalfa root crowns were separated from the aboveground foliage. Soil was brushed off the roots, which were then imaged in the laboratory using the RhizoVision Crown platform. | Mattupalli et al. [ |
| Upland cotton ( | Root system architecture | Development of a root phenotyping platform, PhenoRoots, which allows for the non-invasive study of plant root system architecture. Substrate or soil-filled rhizotrons are used to grow plantlets, whose roots are directly visible through a glass plate. Pictures were taken using a digital camera and then analyzed by WinRHIZO and ImageJ software. | Martins et al. |
| Soybean | Root biomass and morphology | This study used “transparent soil” formed by the spherification of hydrogels of biopolymers. It is specifically designed to support root growth in the presence of | Ma et al. [ |
| Pea | Root morphology | Measurements of root traits were performed on two phenotyping platforms. One system represented a typical high-throughput phenotyping platform for seedling root screening using agar-filled plates. The other system focused on mature root systems grown under more natural conditions (sand-filled columns) with less potential throughput. Images were analyzed using the software GrowScreen-Root | Zhao et al. [ |
| Sorghum | Root system architecture | The phenotyping platform consisted of 500 soil-filled root chambers (50 × 45 × 0.3 cm in size), made of transparent Perspex sheets that were placed in metal tubs and covered with polycarbonate sheets. Around 3 weeks after sowing, once the first flush of nodal roots was visible, roots were imaged in situ using an imaging box that included two digital cameras that were remotely controlled by two android tablets. Free software (openGelPhoto.tcl) allowed precise measurement of the nodal root angle from the digital images. | Joshi et al. [ |
| Spring barley ( | Destructive methods | The correspondence between a destructive (WinRHIZO scans) and non-destructive (RGB root imaging) method for root phenotyping using a described system was tested. The root images were analyzed after the staining of roots with powdered active charcoal. Root images were taken in the photographic room using an RGB camera. The images (JPG or TIFF files) of the plants taken in the photographic chamber were analyzed using ImageJ software. Root system scanning was performed using a specialized root scanner (STD4800 scanner) coupled with WinRHIZO Pro software (Regent Instruments, Quebec, Canada). | Slota et al. [ |