aBIOTECH最新文献

Cas12a (Cpf1), a Class 2 Type V CRISPR/Cas nuclease, has several unique attributes for genome editing and may provide a valuable alternative to Cas9. However, a low editing efficiency due to temperature sensitivity and insufficient cleavage activity of the Cas12a nuclease are major obstacles to its broad application. In this report, we generated two variants, ttAsCas12 Ultra and ttLbCas12a Ultra harboring three (E174R, M537R, and F870L) or two (D156R and E795L) mutations, respectively, by combining the mutations from the temperature-tolerant variants ttAsCas12a (E174R) and ttLbCas12a (D156R), and those from the highly active variants AsCas12a Ultra (M537R and F870L) and LbCas12a Ultra (E795L). We compared editing efficiencies of the five resulting Cas12a variants (LbCas12a, ttLbCas12a, ttLbCas12a Ultra, AsCas12a Ultra, and ttAsCas12 Ultra) at six target sites of four genes in Arabidopsis (Arabidopsis thaliana). The variant ttLbCas12a Ultra, harboring the D156R and E795L mutations, exhibited the highest editing efficiency of all variants tested in Arabidopsis and can be used to generate homozygous or biallelic mutants in a single generation in Arabidopsis plants grown at 22 °C. In addition, optimization of ttLbCas12a Ultra, by varying nuclear localization signal sequences and codon usage, further greatly improved editing efficiency. Collectively, our results indicate that ttLbCas12a Ultra is a valuable alternative to Cas9 for editing genes or promoters in Arabidopsis.

Bitter melon fruit is susceptible to yellowing, softening, and rotting under room-temperature storage conditions, resulting in reduced commercial value. Nitric oxide (NO) is an important signaling molecule and plays a crucial role in regulating the fruit postharvest quality. In this study, we investigated the effects of NO treatment on changes in sensory and firmness of bitter melon fruit during postharvest storage. Moreover, transcriptomic, metabolomic, and proteomic analyses were performed to elucidate the regulatory mechanisms through which NO treatment delays the ripening and senescence of bitter melon fruit. Our results show that differentially expressed genes (DEGs) were involved in fruit texture (CSLE, β-Gal, and PME), plant hormone signal transduction (ACS, JAR4, and AUX28), and fruit flavor and aroma (SUS2, LOX, and GDH2). In addition, proteins differentially abundant were associated with fruit texture (PLY, PME, and PGA) and plant hormone signal transduction (PBL15, JAR1, and PYL9). Moreover, NO significantly increased the abundance of key enzymes involved in the phenylpropanoid biosynthetic pathway, thus enhancing the disease resistance and alleviating softening of bitter melon fruit. Finally, differential metabolites mainly included phenolic acids, terpenoids, and flavonoids. These results provide a theoretical basis for further studies on the physiological changes associated with postharvest ripening and senescence of bitter melon fruit.

Engineering of a new type of plant base editor for simultaneous adenine transition and transversion within the editing window will greatly expand the scope and potential of base editing in directed evolution and crop improvement. Here, we isolated a rice endogenous hypoxanthine excision protein, N-methylpurine DNA glycosylase (OsMPG), and engineered two plant A-to-K (K = G or T) base editors, rAKBE01 and rAKBE02, for simultaneous adenine transition and transversion base editing in rice by fusing OsMPG or its mutant mOsMPG to a plant adenine transition base editor, ABE8e. We further coupled either OsMPG or mOsMPG with a transactivation factor VP64 to generate rAKBE03 and rAKBE04, respectively. Testing these four rAKBEs, at five endogenous loci in rice protoplasts, indicated that rAKBE03 and rAKBE04 enabled higher levels of A-to-G base transitions when compared to ABE8e and ABE8e-VP64. Furthermore, whereas rAKBE01 only enabled A-to-C/T editing at one endogenous locus, in comparison with rAKBE02 and rAKBE03, rAKBE04 could significantly improve the A-to-C/T base transversion efficiencies by up to 6.57- and 1.75-fold in the rice protoplasts, respectively. Moreover, although no stable lines with A-to-C transversion were induced by rAKBE01 and rAKBE04, rAKBE04 could enable simultaneous A-to-G and A-to-T transition and transversion base editing, at all the five target loci, with the efficiencies of A-to-G transition and A-to-T transversion editing ranging from 70.97 to 92.31% and 1.67 to 4.84% in rice stable lines, respectively. Together, these rAKBEs enable different portfolios of editing products and, thus, now expands the potential of base editing in diverse application scenario for crop improvement.

MicroRNAs (miRNAs) and short RNA fragments (18–25 nt) are crucial biomarkers in biological research and disease diagnostics. However, their accurate and rapid detection remains a challenge, largely due to their low abundance, short length, and sequence similarities. In this study, we report on a highly sensitive, one-step RNA O-circle amplification (ROA) assay for rapid and accurate miRNA detection. The ROA assay commences with the hybridization of a circular probe with the test RNA, followed by a linear rolling circle amplification (RCA) using dUTP. This amplification process is facilitated by U-nick reactions, which lead to an exponential amplification for readout. Under optimized conditions, assays can be completed within an hour, producing an amplification yield up to the microgram level, with a detection limit as low as 0.15 fmol (6 pM). Notably, the ROA assay requires only one step, and the results can be easily read visually, making it user-friendly. This ROA assay has proven effective in detecting various miRNAs and phage ssRNA. Overall, the ROA assay offers a user-friendly, rapid, and accurate solution for miRNA detection.

Current systems to screen for transgenic soybeans (Glycine max) involve laborious molecular assays or the expression of fluorescent markers that are difficult to see in soybean plants. Therefore, a visual system for early screening of transgenic plants would increase the efficiency of crop improvement by genome editing. The RUBY reporter system, which consists of three genes encoding betalain biosynthetic enzymes, leading to the accumulation of purple pigment in transgenic tissue, has been employed in some plants and dikaryon fungi. Here, we assessed the RUBY reporter for visual verification during soybean transformation. We show that RUBY can be expressed in soybean, allowing for visual confirmation of transgenic events without the need for specialized equipment. Plants with visible accumulation of purple pigment in any tissue were successfully transformed, confirming the accuracy of the RUBY system as a visual indicator. We also assessed the genetic stability of the transgene across generations, which can be performed very early, using the cotyledons of the progeny. Transgene-free seedlings have a distinct green color, facilitating the selection of genome-edited but transgene-free soybean seedlings for harvest. Using the RUBY system, we quickly identified a transgene-free Gmwaxy mutant in the T1 generation. This system thus provides an efficient and convenient tool for soybean genome editing.

Besides providing energy to sustain life, mitochondria also play crucial roles in stress response and programmed cell death. The mitochondrial hallmark lipid, cardiolipin (CL), is essential to the maintenance of mitochondrial structure and function. However, how mitochondria and CL are involved in stress response is not as well defined in plants as in animal and yeast cells. We previously revealed a role for CL in mitochondrial fission and in heat stress response in Arabidopsis. To further determine the involvement of mitochondria and CL in plant heat response, here we treated Arabidopsis seedlings with varied lengths of acute heat stress. These treatments resulted in decreases in mitochondrial membrane potential, disruption of mitochondrial ultrastructure, accumulation of mitochondrial reactive-oxygen species (ROS), and redistribution of CL to the outer mitochondrial membrane and to a novel type of vesicle. The level of the observed changes correlated with the severeness of the heat stress, indicating the strong relevance of these processes to stress response. Our findings provide the basis for studying mechanisms underpinning the role of mitochondria and CL in plant stress response.

Plant height is an important agronomic trait that affects high-density tolerance and lodging resistance. However, the regulators and their underlying molecular mechanisms controlling plant height in maize remain understudied. Here, we report that knockout mutants of the calcium-dependent protein kinase gene ZmCPK39 (ZmCPK39-KO) exhibit dramatically reduced plant height, characterized by shorter internodes and a slight decrease in node numbers. Furthermore, we identified a ZmCPK39-interacting protein, the knotted-related homeobox (ZmKnox2), and observed that plant height was also significantly reduced in a mutator transposon-inserted mutant of ZmKnox2 (ZmKnox2-Mu). Combined analysis of transcriptomic and metabonomic data indicates that multiple phytohormone signaling and photosynthesis pathways are disrupted in both ZmCPK39-KO and ZmKnox2-Mu mutants. Taken together, these results provide new insights into the function of ZmCPK39 and identify potential targets for breeding lodging-resistant and high-density tolerant maize cultivars.

Genome editing is a promising technique that has been broadly utilized for basic gene function studies and trait improvements. Simultaneously, the exponential growth of computational power and big data now promote the application of machine learning for biological research. In this regard, machine learning shows great potential in the refinement of genome editing systems and crop improvement. Here, we review the advances of machine learning to genome editing optimization, with emphasis placed on editing efficiency and specificity enhancement. Additionally, we demonstrate how machine learning bridges genome editing and crop breeding, by accurate key site detection and guide RNA design. Finally, we discuss the current challenges and prospects of these two techniques in crop improvement. By integrating advanced genome editing techniques with machine learning, progress in crop breeding will be further accelerated in the future.

Bread wheat (Triticum aestivum) is an important crop and serves as a significant source of protein and calories for humans, worldwide. Nevertheless, its large and allopolyploid genome poses constraints on genetic improvement. The complex reticulate evolutionary history and the intricacy of genomic resources make the deciphering of the functional genome considerably more challenging. Recently, we have developed a comprehensive list of versatile computational tools with the integration of statistical models for dissecting the polyploid wheat genome. Here, we summarize the methodological innovations and applications of these tools and databases. A series of step-by-step examples illustrates how these tools can be utilized for dissecting wheat germplasm resources and unveiling functional genes associated with important agronomic traits. Furthermore, we outline future perspectives on new advanced tools and databases, taking into consideration the unique features of bread wheat, to accelerate genomic-assisted wheat breeding.

Rice yield and disease resistance are two crucial factors in determining the suitability of a gene for agricultural breeding. Decreased grain size1 (DGS1), encoding an RING-type E3 ligase, has been found to have a positive effect on rice yield by regulating rice grain number and 1000-grain weight. However, the role of DGS1 in rice blast resistance is still unknown. In this study, we report that DGS1 enhances disease resistance by improving PTI responses, including stronger ROS burst and MAPK activation, and also increased expression of defense-related genes. Furthermore, DGS1 works in conjunction with ubiquitin conjugating enzyme OsUBC45 as an E2–E3 pair to facilitate the ubiquitin-dependent degradation of OsGSK3 and OsPIP2;1, thereby influencing rice yield and immunity, respectively. Therefore, the DGS1-OsUBC45 module has the potential in facilitating rice agricultural breeding.