RK
Reviewer
Raviraj Mahadeo Kalunke
  • Research Scientist, Danforth Plant Science Center
Research fields
  • Biochemistry, Microbiology, Molecular Biology, Plant Science
Transformation and Detection of Soybean Hairy Roots

Agrobacterium rhizogenes is a soil bacteria with extensive infectivity, which can infect almost all dicotyledonous plants and a few monocotyledonous plants to induce root nodules. This is caused by the root-inducing plasmid, which contains genes responsible for the autonomous growth of root nodules and crown gall base synthesis. Structurally, it is similar to the tumor-inducing plasmid in that it mainly contains the Vir region, the T-DNA region, and the functional region of crown gall base synthesis. Its T-DNA is integrated into the nuclear genome of the plant with the assistance of Vir genes, causing hairy root disease in the host plant and the formation of hairy roots. The roots produced by Agrobacterium rhizogenes–infested plants are characterized by a fast growth rate, high degree of differentiation, physiological, biochemical, and genetic stability, and ease of manipulation and control. In particular, the hairy root system is an efficient and rapid research tool for plants that have no affinity for transformation by Agrobacterium rhizogenes and low transformation efficiency. The establishment of germinating root culture system for the production of secondary metabolites in the original plants through the genetic transformation of natural plants mediated by root-inducing plasmid in Agrobacterium rhizogenes has become a new technology combining plant genetic engineering and cell engineering. It has been widely used in a variety of plants for different molecular purposes, such as pathological analysis, gene function verification, and secondary metabolite research. Chimeric plants obtained by induction of Agrobacterium rhizogenes that can be expressed instantaneously and contemporarily are more rapidly obtained, compared to tissue culture and stably inheritable transgenic strains. In general, transgenic plants can be obtained in approximately one month.

An Improved System to Measure Leaf Gas Exchange on Adaxial and Abaxial Surfaces
Authors:  D. A. Márquez, H. Stuart-Williams, S. C. Wong and G. D. Farquhar, date: 06/05/2023, view: 471, Q&A: 0

Measurement of leaf carbon gain and water loss (gas exchange) in planta is a standard procedure in plant science research for attempting to understand physiological traits related to water use and photosynthesis. Leaves carry out gas exchange through the upper (adaxial) and lower (abaxial) surfaces at different magnitudes, depending on the stomatal density, stomatal aperture, cuticular permeability, etc., of each surface, which we account for in gas exchange parameters such as stomatal conductance. Most commercial devices measure leaf gas exchange by combining the adaxial and abaxial fluxes and calculating bulk gas exchange parameters, missing details of the plant's physiological response on each side. Additionally, the widely used equations to estimate gas exchange parameters neglect the contribution of small fluxes such as cuticular conductance, adding extra uncertainties to measurements performed in water-stress or low-light conditions. Accounting for the gas exchange fluxes from each side of the leaf allows us to better describe plants' physiological traits under different environmental conditions and account for genetic variability. Here, apparatus and materials are presented for adapting two LI-6800 Portable Photosynthesis Systems to work as one gas exchange system to measure adaxial and abaxial gas exchange simultaneously. The modification includes a template script with the equations to account for small fluxes. Instructions are provided for incorporating the add-on script into the device's computational sequence, display, variables, and spreadsheet results. We explain the method to obtain an equation to estimate boundary layer conductance to water for the new setup and how to embed this equation in the devices' calculations using the provided add-on script. The apparatus, methods, and protocols presented here provide a simple adaptation combining two LI-6800s to obtain an improved system to measure leaf gas exchange on adaxial and abaxial surfaces.


Graphical overview



Figure 1. Diagram of the connection of two LI-6800s. Figure adapted from Márquez et al. (2021).

Measurement of Transgenes Copy Number in Wheat Plants Using Droplet Digital PCR
Authors:  Peng Liu, Shuang Liu, Jiajia Lei, Jianping Chen and Jian Yang, date: 12/05/2022, view: 804, Q&A: 0

Genetic transformation is a powerful method for the investigation of gene function and improvement of crop plants. The transgenes copy number in the transgenic line is involved in gene expression level and phenotypes. Additionally, identification of transgene zygosity is important for quantitative assessment of phenotype and for tracking the inheritance of transgenes in progeny generations. Several methods have been developed for estimating the transgene copy number, including southern blot assay and quantitative polymerase chain reaction (qPCR) experiments. Southern hybridization, although convincing and reliable, is a time-consuming method through which the examination of the copy number is challenging in species with large genomes like wheat plants. Although qPCR is potentially simpler to perform, its results lack accuracy and precision, especially to distinguish between one and two copy events in transgenic plants with large genomes. The droplet digital PCR (ddPCR)–based method for investigation of transgenes copy number has been widely used in an array of crops. In this method, the specific primers to amplify target transgenes and reference genes are used as a single duplexed reaction, which is divided into tens of thousands of nanodroplets. The copy number in independent transgenic lines is determined by detection and quantification of droplets using sequence-specific fluorescently labeled probes. This method offers superior accuracy and reliability with a low cost and scalability as other PCR techniques in the investigation of transgenes copy number.


Graphical abstract



Flow chart for the ddPCR protocol


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