See the color,see the seed:GmW1 as a visual reporter for transgene and genome editing in soybean

A fast and efficient recognition method of transgenic lines will greatly improve detection efficiency and reduce cost.In this study,we successfully identified the transgenic soybean plants by the color.We isolated a GmW1 gene encoding a flavonoid 3'5'-hydroxylase from a soybean cultivar ZH42(purple flower).We found that purple flowers occurred in the overexpression lines in the Jack and Williams 82 backgrounds(white flower).All plants with purple flowers were positive,and this trait seems stably inherited in the offspring.We have also obtained the editing plants,which were classified into three types according to the different flower colors appeared.We analyzed the phenotype and the homozygous types of the T_1mutants.We also found that a correspondence between flower color and stem color.This study provides a visible color reporter on soybean transformation.It can be quickly and early to identify the transgenic soybean plants by stem color of seedlings,which substantially reduces the amount of labor and cost.

Low-Frequency Oscillation Analysis of Grid-Connected VSG System Considering Multi-Parameter Coupling

With the increasing integration of new energy generation into the power system and the massive withdrawal of traditional fossil fuel generation,the power system is faced with a large number of stability problems.The phenomenon of low-frequency oscillation caused by lack of damping and moment of inertia is worth studying.In recent years,virtual synchronous generator(VSG)technique has been developed rapidly because it can provide considerable damping and moment of inertia.While improving the stability of the system,it also inevitably causes the problem of active power oscillation,especially the low mutual damping between the VSG and the power grid will make the oscillation more severe.The traditional time-domain state-space method cannot reflect the interaction among state variables and study the interaction between different nodes and branches of the power grid.In this paper,a frequency-domain method for analyzing low-frequency oscillations considering VSG parameter coupling is proposed.First,based on the rotor motion equation of the synchronous generator(SG),a secondorder VSG model and linearized power-frequency control loop model are established.Then,the differences and connections between the coupling of key VSG parameters and low-frequency oscillation characteristics are studied through frequency domain analysis.The path and influencemechanism of a VSG during low-frequency power grid oscillations are illustrated.Finally,the correctness of the theoretical analysis model is verified by simulation.

Soybean hairy roots produced in vitro by Agrobacterium rhizogenes-mediated transformation

Soybean is one of the world's most important oil and protein crops. Efficient transformation is a key factor for the improvement of soybean by genetic modification. We describe an optimized protocol for the Agrobacterium rhizogenes-mediated transformation of soybean and the induction of hairy root development in vitro. Cotyledons with 0.5-cm hypocotyls were cut from 5-day-old seedlings and used as explants. After infection and co-cultivation,hairy roots were produced in induction culture medium after 10–12 days. Using this method, 90%–99% of the infected explants of five different cultivars produced hairy roots within one month. Observations using reporter constructs showed that 30%–60% of the hairy roots induced were transformed. Based on high transformation efficiency and short transformation period, this method represents an efficient and rapid platform for study of soybean gene function.

Elevated methionine content in soybean seed by overexpressing maizeβ-zein protein

Soybean provides superior and readily available protein for human and livestock.However,nutritional value of soybean is limited due to the deficiency of an essential amino acid,methionine.To improve total methionine content of soybean,a methionine-rich seed storage protein,β-zein,was introduced into soybean cultivar’Jack’under the control of legumin B4 promoter or Ca MV 35S promoter.Totally 4 T3transgenic lines exhibited higher expression levels of foreign genes,and legumin B4 promoter directed a stronger accumulation ofβ-zein protein than Ca MV 35S promoter.Compared to wild type plant,total methionine content in transgenic soybean seeds significantly increased by up to approximately 15%.Although the introduction ofβ-zein gene improved total methionine content,the level was negligible compared to native soybean storage proteins,implying that the inadequate soluble methionine is the limiting factor.Based on these observations,a new strategy for simultaneously increasing the"source"and"sink"of methionine metabolism is proposed to further improvement of total methionine content in soybean seed.

An improved strategy for out-of-step oscillation separation devices based on apparent impedance angle applied to a series compensated line

Out-of-step oscillation separation devices based on apparent impedance angle trajectory are widely used in the power grid in China,and their reliability is of great importance.In this paper,the influence mechanism of series compensation on apparent impedance angle trajectory is analyzed.It reveals that series compensation capacitors reduce the equivalent impedance angle and consequently the apparent impedance angle cannot pass through all four zones,resulting in the risk of failure for the separation devices.A revised method of apparent impedance angle based on compensation principle is discussed,and then an improved out-of-step oscillation detection criterion is proposed.In view of the fact that the apparent impedance angle at the moment of maximum current is equal to the equivalent impedance angle during an oscillation process,a practical algorithm based on the compensated apparent impedance angle is proposed.RTDS tests are conducted to verify the effectiveness of the new criterion,considering transmission lines with a high series compensation level.