aBIOTECH最新文献

A regulon refers to a group of genes regulated by a transcription factor binding to regulatory motifs to achieve specific biological functions. To infer tissue-specific gene regulons in Arabidopsis, we developed a novel pipeline named InferReg. InferReg utilizes a gene expression matrix that includes 3400 Arabidopsis transcriptomes to make initial predictions about the regulatory relationships between transcription factors (TFs) and target genes (TGs) using co-expression patterns. It further improves these anticipated interactions by integrating TF binding site enrichment analysis to eliminate false positives that are only supported by expression data. InferReg further trained a graph convolutional network with 133 transcription factors, supported by ChIP-seq, as positive samples, to learn the regulatory logic between TFs and TGs to improve the accuracy of the regulatory network. To evaluate the functionality of InferReg, we utilized it to discover tissue-specific regulons in 5 Arabidopsis tissues: flower, leaf, root, seed, and seedling. We ranked the activities of regulons for each tissue based on reliability using Borda ranking and compared them with existing databases. The results demonstrated that InferReg not only identified known tissue-specific regulons but also discovered new ones. By applying InferReg to rice expression data, we were able to identify rice tissue-specific regulons, showing that our approach can be applied more broadly. We used InferReg to successfully identify important regulons in various tissues of Arabidopsis and Oryza, which has improved our understanding of tissue-specific regulations and the roles of regulons in tissue differentiation and development.

Robust genome editing technologies are becoming part of the crop breeding toolbox. Currently, genome editing is usually conducted either at a single locus, or multiple loci, in a variety at one time. Massively parallel genomics platforms, multifaceted genome editing capabilities, and flexible transformation systems enable targeted variation at nearly any locus, across the spectrum of genotypes within a species. We demonstrate here the simultaneous transformation and editing of many genotypes, by targeting mixed seed embryo explants with genome editing machinery, followed by re-identification through genotyping after plant regeneration. Transformation and Editing of Mixed Lines (TREDMIL) produced transformed individuals representing 101 of 104 (97%) mixed elite genotypes in soybean; and 22 of 40 (55%) and 9 of 36 (25%) mixed maize female and male elite inbred genotypes, respectively. Characterization of edited genotypes for the regenerated individuals identified over 800 distinct edits at the Determinate1 (Dt1) locus in samples from 101 soybean genotypes and 95 distinct Brown midrib3 (Bm3) edits in samples from 17 maize genotypes. These results illustrate how TREDMIL can help accelerate the development and deployment of customized crop varieties for future precision breeding.

The widely used clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated nuclease (Cas) system is thought to have evolved from IS200/IS605 transposons. TnpB proteins, encoded by one type of IS200/IS605 transposon, are considered to be the evolutionary ancestors of Cas12 nucleases, which have been engineered to function as RNA-guided DNA endonucleases for genome editing in bacteria and human cells. TnpB nucleases, which are smaller than Cas nucleases, have been engineered for use in genome editing in animal systems, but the feasibility of this approach in plants remained unknown. Here, we obtained stably transformed genome-edited mutants in rice (Oryza sativa) by adapting three recently identified TnpB genome editing vectors, encoding distinct TnpB nucleases (ISAam1, ISDra2, and ISYmu1), for use in plants, demonstrating that the hypercompact TnpB proteins can effectively edit plant genomes. ISDra2 and ISYmu1 precisely edited their target sequences, with no off-target mutations detected, showing that TnpB transposon nucleases are suitable for development into a new genome editing tool for plants. Future modifications improving the genome-editing efficiency of the TnpB system will facilitate plant functional studies and breeding programs.

Genome editing, particularly using the CRISPR/Cas system, has revolutionized biological research and crop improvement. Despite the widespread use of CRISPR/Cas9, it faces limitations such as PAM sequence requirements and challenges in delivering its large protein into plant cells. The hypercompact Cas12f, derived from Acidibacillus sulfuroxidans (AsCas12f), stands out due to its small size of only 422 amino acids and its preference for a T-rich motif, presenting advantageous features over SpCas9. However, its editing efficiency is extremely low in plants. Recent studies have generated two AsCas12f variants, AsCas12f-YHAM and AsCas12f-HKRA, demonstrating higher editing efficiencies in mammalian cells, yet their performance in plants remains unexplored. In this study, through a systematic investigation of genome cleavage activity in rice, we unveiled a substantial enhancement in editing efficiency for both AsCas12f variants, particularly for AsCas12f-HKRA, which achieved an editing efficiency of up to 53%. Furthermore, our analysis revealed that AsCas12f predominantly induces deletion in the target DNA, displaying a unique deletion pattern primarily concentrated at positions 12, 13, 23, and 24, resulting in deletion size mainly of 10 and 11 bp, suggesting significant potential for targeted DNA deletion using AsCas12f. These findings expand the toolbox for efficient genome editing in plants, offering promising prospects for precise genetic modifications in agriculture.

The diversity of plant natural products presents a rich resource for accelerating drug discovery and addressing pressing human health issues. However, the challenges in accessing and cultivating source species, as well as metabolite structural complexity, and general low abundance present considerable hurdles in developing plant-derived therapeutics. Advances in high-throughput sequencing, genome assembly, gene synthesis, analytical technologies, and synthetic biology approaches, now enable us to efficiently identify and engineer enzymes and metabolic pathways for producing natural and new-to-nature therapeutics and drug candidates. This review highlights challenges and progress in plant natural product discovery and engineering by example of recent breakthroughs in identifying the missing enzymes involved in the biosynthesis of the anti-cancer agent Taxol^®. These enzyme resources offer new avenues for the bio-manufacture and semi-synthesis of an old blockbuster drug.

Phytic acid (PA) in grain seeds reduces the bioavailability of nutrient elements in monogastric animals, and an important objective for crop seed biofortification is to decrease the seed PA content. Here, we employed CRISPR/Cas9 to generate a PA mutant population targeting PA biosynthesis and transport genes, including two multi-drug-resistant protein 5 (MRP5) and three inositol pentose-phosphate kinases (IPK1). We characterized a variety of lines containing mutations on multiple IPK and MRP5 genes. The seed PA was more significantly decreased in higher-order mutant lines with multiplex mutations. However, such mutants also exhibited poor agronomic performance. In the population, we identified  two lines carrying single mutations in ipk1b and ipk1c, respectively. These mutants exhibited moderately reduced PA content, and regular agronomic performance compared to the wild type. Our study indicates that moderately decreasing PA by targeting single GmIPK1 genes, rather than multiplex mutagenesis toward ultra-low PA, is an optimal strategy for low-PA soybean with a minimal trade-off in yield performance.

Bakanae disease, caused by Fusarium fujikuroi, poses a significant threat to rice production and has been observed in most rice-growing regions. The disease symptoms caused by different pathogens may vary, including elongated and weak stems, slender and yellow leaves, and dwarfism, as example. Bakanae disease is likely to cause necrosis of diseased seedlings, and it may cause a large area of infection in the field through the transmission of conidia. Therefore, early disease surveillance plays a crucial role in securing rice production. Traditional monitoring methods are both time-consuming and labor-intensive and cannot be broadly applied. In this study, a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae disease. Phenotypic data were obtained on the 9th, 15th, and 21st day after rice infection to explore the physiological and biochemical performance, which helps to deepen the research on the disease mechanism. Hyperspectral data were obtained over these same periods of infection, and a deep learning model, named Rice Bakanae Disease-Visual Geometry Group (RBD-VGG), was established by leveraging hyperspectral imaging technology and deep learning algorithms. Based on this model, an average accuracy of 92.2% was achieved on the 21st day of infection. It also achieved an accuracy of 79.4% as early as the 9th day. Universal characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field surveillance. Collectively, the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease, thereby providing an efficient avenue for disease prevention and control.

Rice (Oryza sativa) produces numerous diterpenoid phytoalexins that are important in defense against pathogens. Surprisingly, despite extensive previous investigations, a major group of such phytoalexins, the abietoryzins, were only recently reported. These aromatic abietanes are presumably derived from ent-miltiradiene, but such biosynthetic capacity has not yet been reported in O. sativa. While wild rice has been reported to contain such an enzyme, specifically ent-kaurene synthase-like 10 (KSL10), the only characterized ortholog from O. sativa (OsKSL10), specifically from the well-studied cultivar (cv.) Nipponbare, instead has been shown to make ent-sandaracopimaradiene, precursor to the oryzalexins. Notably, in many other cultivars, OsKSL10 is accompanied by a tandem duplicate, termed here OsKSL14. Biochemical characterization of OsKLS14 from cv. Kitaake demonstrates that this produces the expected abietoryzin precursor ent-miltiradiene. Strikingly, phylogenetic analysis of OsKSL10 across the rice pan-genome reveals that from cv. Nipponbare is an outlier, whereas the alleles from most other cultivars group with those from wild rice, suggesting that these also might produce ent-miltiradiene. Indeed, OsKSL10 from cv. Kitaake exhibits such activity as well, consistent with its production of abietoryzins but not oryzalexins. Similarly consistent with these results is the lack of abietoryzin production by cv. Nipponbare. Although their equivalent product outcome might suggest redundancy, OsKSL10 and OsKSL14 were observed to exhibit distinct expression patterns, indicating such differences may underlie retention of these duplicated genes. Regardless, the results reported here clarify abietoryzin biosynthesis and provide insight into the evolution of rice diterpenoid phytoalexins.

Loss-of-function mutants are fundamental resources for gene function studies. However, it is difficult to generate viable and heritable knockout mutants for essential genes. Here, we show that targeted editing of the C-terminal sequence of the embryo lethal gene MITOGEN-ACTIVATED PROTEIN KINASES 1 (OsMPK1) results in weak mutants. This C-terminal-edited osmpk1 mutants displayed severe developmental defects and altered disease resistance but generated tens of viable seeds that inherited the mutations. Using the same C-terminal editing approach, we also obtained viable mutants for a wall-associated protein kinase (Os07g0493200) and a leucine-rich repeat receptor-like protein kinase (Os01g0239700), while the null mutations of these genes were lethal. These data suggest that protein kinase activity could be reduced by introducing frameshift mutations adjacent to the C-terminus, which could generate valuable resources for gene function studies and tune protein kinase activity for signaling pathway engineering.