Knockouts of a late flowering gene via CRISPR-Cas9 confer early maturity in rice at multiple field locations.

KEY MESSAGE: OsGhd7 gene was discovered by screening our rice activation tagging population. CRISPR-Cas9 created knockouts of OsGhd7 conferred early flowering and early maturity in rice varieties across multiple geographical locations in China. Our research shows that OsGhd7 is a good target for breeding early maturity rice varieties, and an excellent example of the advantages of applying the CRISPR-Cas9 technology for trait improvement. Flowering time (heading date) is an important trait for crop cultivation and yield. In this study, we discovered a late flowering gene OsGhd7 by screening our rice activation tagging population, and demonstrated that overexpression of OsGhd7 delayed flowering time in rice, and the delay in flowering time depended on the transgene expression level. OsGhd7 is a functional allele of the Ghd7 gene family; knockouts of OsGhd7 generated by CRISPR-Cas9 significantly accelerated flowering time and the earliness of the flowering time depended on field location. The homozygous OsGhd7 knockout lines showed approximately 8, 10, and 20 days earlier flowering than controls at three different locations in China (Changsha City, Sanya City, and Beijing City, respectively) that varied from 18.25° N to 39.90° N. Furthermore, knockouts of OsGhd7 also showed an early flowering phenotype in different rice varieties, indicating OsGhd7 can be used as a common target gene for using the CRISPR technology to modulate rice flowering time. The importance of OsGhd7 and CRISPR technology for breeding early maturity rice varieties are discussed.

A cytokinin-activation enzyme-like gene improves grain yield under various field conditions in rice.

KEY MESSAGE: CRISPR-edited variants at the 3'-end of OsLOGL5's coding sequence (CDS), significantly increased rice grain yield under well-watered, drought, normal nitrogen, and low nitrogen field conditions at multiple geographical locations. Cytokinins impact numerous aspects of plant growth and development. This study reports that constitutive ectopic overexpression of a rice cytokinin-activation enzyme-like gene, OsLOGL5, significantly reduced primary root growth, tiller number, and yield. Conversely, mutations at the 3'-end of OsLOGL5 CDS resulted in normal rice plant morphology but with increased grain yield under well-watered, drought, normal nitrogen, and low nitrogen field conditions at multiple geographical locations. Six gene edited variants (Edit A to F) were created and tested in the field. Edit-B and Edit-F plants increased, but Edit-D and Edit-E plants decreased, the panicle number per plant. All OsLOGL5-edited plants significantly increased seed setting rate, total grain numbers, full-filled grain numbers per panicle, and thousand seed weight under drought conditions, suggesting that OsLOGL5 is likely involved in the regulation of both seed development and grain filling processes. Our results indicate that the C-terminal end of OsLOGL5 protein plays an important role in regulating rice yield improvement under different abiotic stress conditions, and OsLOGL5 is important for rice yield enhancement and stability.

Application of T-DNA activation tagging to identify glutamate receptor-like genes that enhance drought tolerance in plants.

KEY MESSAGE: A high-quality rice activation tagging population has been developed and screened for drought-tolerant lines using various water stress assays. One drought-tolerant line activated two rice glutamate receptor-like genes. Transgenic overexpression of the rice glutamate receptor-like genes conferred drought tolerance to rice and Arabidopsis. Rice (Oryza sativa) is a multi-billion dollar crop grown in more than one hundred countries, as well as a useful functional genetic tool for trait discovery. We have developed a population of more than 200,000 activation-tagged rice lines for use in forward genetic screens to identify genes that improve drought tolerance and other traits that improve yield and agronomic productivity. The population has an expected coverage of more than 90 % of rice genes. About 80 % of the lines have a single T-DNA insertion locus and this molecular feature simplifies gene identification. One of the lines identified in our screens, AH01486, exhibits improved drought tolerance. The AH01486 T-DNA locus is located in a region with two glutamate receptor-like genes. Constitutive overexpression of either glutamate receptor-like gene significantly enhances the drought tolerance of rice and Arabidopsis, thus revealing a novel function of this important gene family in plant biology.

[Identification and analysis of rice drought tolerance using near infrared diffuse reflection spectra of leaves].

In the present study, different drought tolerance rice from different countries and areas were selected and grown in water field and drought field respectively, including 4 traditional varieties of drought rice, 18 varieties of modified drought rice, 2 varieties of drought traits rice, 2 varieties of drought tolerance rice, and a total of 30 different varieties of drought tolerance rice were involved. Using near infrared diffuse reflection spectra of leaves from water field and drought field, we studied the rice drought tolerance identification analysis. Results showed that: using the average spectra of several leaves' spectra, selecting 4,500-7,500 cm(-1) as effective analysis spectra zone, choosing the first derivative and multiple scattering correction (MSC) as spectra preprocessing method, we can set up the calibration models between the spectra of leaves from drought field and the yield of rice. Simultaneously, we concluded that the performance of calibration model for rice yield and drought tolerance identification indexes in the upper booting stage was better than in the previous booting stage whose correlation coefficient of cross validation could reach 0.8. But there was no obvious relation between the spectra from water field and the yield, the drought tolerance identification indexes. We explained the difference in these two series models' performance from the relationship between some parameter of the leaves' biochemistry (chlorophyll, moisture, etc) and yield, the drought tolerance identification indexes.