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With the aim of investigating the effect of some beneficial microorganisms on the yield and its components of the wheat plant Ibaa 99 variety. This experiment was conducted at the College of Agricultural Engineering Sciences of Baghdad University during the winter of 2019-2020, following RCBD with three replications and 8 treatments per replicate: Pseudomonas fluorescens (Ps.), Glomus spp. (Gl.), Mycorrhizae, and Saccharomyces cerevisiae (Sa.) baking yeast, as well as the treatments resulting from their combinations, Ps + Gl, Gl + Sa, Ps + Sa, and Ps + Sa + Gl, in addition to the control treatment. The results showed that all treatments were significantly superior to the control treatment in the number of spikelets spike -1 , spike length, and number of grains spike -1 . The triple treatment Ps+Sa+Gl was significantly superior to all treatments (88.07 grains spike -1 ), and this treatment was significantly superior to the treatment Ps+Sa and the single treatment Sa to the other treatments in the number of spikelets m -2 and in the grain yield (3962 kg ha -1 ). Then Sa (3473.39 kg ha -1 ) was significantly superior to all other treatments, and finally Ps+Gl, Gl+Sa, and Ps+Sa (3010.95, 3079.15, and 3196.82 kg ha -1 , respectively) were significantly superior to Ps, Gl, and control. This shows the importance of combining biofertilizers in plant nutrition and in providing 50% of the fertilizer recommendation, with the consequent reduction of pollution and lower production costs.

Bacteria and fungi are used industrially to produce commodity fine chemicals at vast scale. Sugars are an economical feedstock, but many of the desired products require enzymatic reduction, meaning that some of the sugar must be diverted to regenerate the cellular reductant NADPH (reduced form of nicotinamide adenine dinucleotide phosphate). Guo et al. show that electrons from light-sensitive nanoparticles can drive reduction of cellular NADPH in yeast, which can then be used for reductive biosynthetic reactions. This system can reduce diversion of carbon to NADPH regeneration and should be compatible with many existing engineered strains of yeast. Science , this issue p. 813 Light-harvesting nanoparticles power reduction reactions in genetically engineered yeast. Inorganic-biological hybrid systems have potential to be sustainable, efficient, and versatile chemical synthesis platforms by integrating the light-harvesting properties of semiconductors with the synthetic potential of biological cells. We have developed a modular bioinorganic hybrid platform that consists of highly efficient light-harvesting indium phosphide nanoparticles and genetically engineered Saccharomyces cerevisiae , a workhorse microorganism in biomanufacturing. The yeast harvests photogenerated electrons from the illuminated nanoparticles and uses them for the cytosolic regeneration of redox cofactors. This process enables the decoupling of biosynthesis and cofactor regeneration, facilitating a carbon- and energy-efficient production of the metabolite shikimic acid, a common precursor for several drugs and fine chemicals. Our work provides a platform for the rational design of biohybrids for efficient biomanufacturing processes with higher complexity and functionality.

Microbial biosynthesis of plant natural products from simple building blocks is a promising approach toward scalable production and modification of high-value compounds. The pathway for biosynthesis of noscapine, a potential anticancer compound, from canadine was recently elucidated as a 10-gene cluster from opium poppy. Here we demonstrate the de novo production of noscapine in Saccharomyces cerevisiae, through the reconstruction of a biosynthetic pathway comprising over 30 enzymes from plants, bacteria, mammals, and yeast itself, including 7 plant endoplasmic reticulum (ER)-localized enzymes. Optimization directed to tuning expression of pathway enzymes, host endogenous metabolic pathways, and fermentation conditions led to an over 18,000-fold improvement from initial noscapine titers to ~2.2 mg/L. By feeding modified tyrosine derivatives to the optimized noscapine-producing strain we further demonstrated microbial production of halogenated benzylisoquinoline alkaloids. This work highlights the potential for microbial biosynthetic platforms to support the synthesis of valuable and novel alkaloid compounds, which can advance alkaloid-based drug discovery and development.

Sanofi has signed a deal to use UK start-up Exscientia's artificial-intelligence (AI) platform to hunt for metabolic-disease therapies, and Roche subsidiary Genentech is using an AI system from GNS Healthcare in Cambridge, Massachusetts, to help drive the multinational company's search for cancer treatments. In May 2017, a group including researchers at Yale University in New Haven, Connecticut, demonstrated the role of a family of proteins called fibroblast growth factors (FGFs) in blood-vessel development (P. Yu et al. Wuxi NextCODE uses AI as part ofits approach of classifying genes according to their roles and other attributes, to look for connections between RNA-sequence variations, expression levels, molecular function and gene location. By searching public databases, Adam generated hypotheses about which genes code for key enzymes that catalyse reactions in the yeast Saccharomyces cerevisiae, and used robotics to physically test its predictions in a lab.

Cannabis sativa L. has been cultivated and used around the globe for its medicinal properties for millennia 1 . Some cannabinoids, the hallmark constituents of Cannabis , and their analogues have been investigated extensively for their potential medical applications 2 . Certain cannabinoid formulations have been approved as prescription drugs in several countries for the treatment of a range of human ailments 3 . However, the study and medicinal use of cannabinoids has been hampered by the legal scheduling of Cannabis , the low in planta abundances of nearly all of the dozens of known cannabinoids 4 , and their structural complexity, which limits bulk chemical synthesis. Here we report the complete biosynthesis of the major cannabinoids cannabigerolic acid, Δ 9 -tetrahydrocannabinolic acid, cannabidiolic acid, Δ 9 -tetrahydrocannabivarinic acid and cannabidivarinic acid in Saccharomyces cerevisiae , from the simple sugar galactose. To accomplish this, we engineered the native mevalonate pathway to provide a high flux of geranyl pyrophosphate and introduced a heterologous, multi-organism-derived hexanoyl-CoA biosynthetic pathway 5 . We also introduced the Cannabis genes that encode the enzymes involved in the biosynthesis of olivetolic acid 6 , as well as the gene for a previously undiscovered enzyme with geranylpyrophosphate:olivetolate geranyltransferase activity and the genes for corresponding cannabinoid synthases 7 , 8 . Furthermore, we established a biosynthetic approach that harnessed the promiscuity of several pathway genes to produce cannabinoid analogues. Feeding different fatty acids to our engineered strains yielded cannabinoid analogues with modifications in the part of the molecule that is known to alter receptor binding affinity and potency 9 . We also demonstrated that our biological system could be complemented by simple synthetic chemistry to further expand the accessible chemical space. Our work presents a platform for the production of natural and unnatural cannabinoids that will allow for more rigorous study of these compounds and could be used in the development of treatments for a variety of human health problems. Genetic engineering of yeast enables the production of cannabinoids and cannabinoid analogues from the simple sugar galactose, without the need to cultivate Cannabis .

Designing an optimal microbial cell factory often requires overexpression, knock-down, and knock-out of multiple gene targets. Unfortunately, such rewiring of cellular metabolism is often carried out sequentially and with low throughput. Here, we report a combinatorial metabolic engineering strategy based on an orthogonal tri-functional CRISPR system that combines transcriptional activation, transcriptional interference, and gene deletion (CRISPR-AID) in the yeast Saccharomyces cerevisiae . This strategy enables perturbation of the metabolic and regulatory networks in a modular, parallel, and high-throughput manner. We demonstrate the application of CRISPR-AID not only to increase the production of β-carotene by 3-fold in a single step, but also to achieve 2.5-fold improvement in the display of an endoglucanase on the yeast surface by optimizing multiple metabolic engineering targets in a combinatorial manner. Metaboli engineering through gene overexpression, knock-down and knock-out is often carried out sequentially in a high labor, low-throughput manner. Here, the authors use CRISPR-mediated gene activation, interference and deletion to rapidly rewire S. cerevisiae metabolism in a single step.

With rapid progress in DNA synthesis and sequencing, strain engineering starts to be the rate-limiting step in synthetic biology. Here, we report a gRNA-tRNA array for CRISPR-Cas9 (GTR-CRISPR) for multiplexed engineering of Saccharomyces cerevisiae . Using reported gRNAs shown to be effective, this system enables simultaneous disruption of 8 genes with 87% efficiency. We further report an accelerated Lightning GTR-CRISPR that avoids the cloning step in Escherichia coli by directly transforming the Golden Gate reaction mix to yeast. This approach enables disruption of 6 genes in 3 days with 60% efficiency using reported gRNAs and 23% using un-optimized gRNAs. Moreover, we applied the Lightning GTR-CRISPR to simplify yeast lipid networks, resulting in a 30-fold increase in free fatty acid production in 10 days using just two-round deletions of eight previously identified genes. The GTR-CRISPR should be an invaluable addition to the toolbox of synthetic biology and automation. Strain engineering is increasingly the bottleneck step in synthetic biology workflows. Here the authors present GTR-CRISPR for rapid, multiplexed engineering of yeast metabolic pathways.

The production of bioactive plant compounds using microbial hosts is considered a safe, cost-competitive and scalable approach to their production. However, microbial production of some compounds like aromatic amino acid (AAA)-derived chemicals, remains an outstanding metabolic engineering challenge. Here we present the construction of a Saccharomyces cerevisiae platform strain able to produce high levels of p -coumaric acid, an AAA-derived precursor for many commercially valuable chemicals. This is achieved through engineering the AAA biosynthesis pathway, introducing a phosphoketalose-based pathway to divert glycolytic flux towards erythrose 4-phosphate formation, and optimizing carbon distribution between glycolysis and the AAA biosynthesis pathway by replacing the promoters of several important genes at key nodes between these two pathways. This results in a maximum p -coumaric acid titer of 12.5 g L −1 and a maximum yield on glucose of 154.9 mg g −1 . Microbial production of aromatic amino acid (AAA)-derived chemicals remains an outstanding metabolic engineering challenge. Here, the authors engineer baker’s yeast for high levels p -coumaric acid production by rewiring the central carbon metabolism and channeling more flux to the AAA biosynthetic pathway.

Yeasts occur in all environments and have been described as potent antagonists of various plant pathogens. Due to their antagonistic ability, undemanding cultivation requirements, and limited biosafety concerns, many of these unicellular fungi have been considered for biocontrol applications. Here, we review the fundamental research on the mechanisms (e.g., competition, enzyme secretion, toxin production, volatiles, mycoparasitism, induction of resistance) by which biocontrol yeasts exert their activity as plant protection agents. In a second part, we focus on five yeast species (Candida oleophila, Aureobasidium pullulans, Metschnikowia fructicola, Cryptococcus albidus, Saccharomyces cerevisiae) that are or have been registered for the application as biocontrol products. These examples demonstrate the potential of yeasts for commercial biocontrol usage, but this review also highlights the scarcity of fundamental studies on yeast biocontrol mechanisms and of registered yeast-based biocontrol products. Yeast biocontrol mechanisms thus represent a largely unexplored field of research and plentiful opportunities for the development of commercial, yeast-based applications for plant protection exist.

Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single ‘out-of-China’ origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype–phenotype studies in this classic model system. Whole-genome sequencing of 1,011 natural isolates of the yeast Saccharomyces cerevisiae reveals its evolutionary history, including a single out-of-China origin and multiple domestication events, and provides a framework for genotype–phenotype studies in this model organism.