Biosynthetic Pathways
These pathways are critical for the synthesis of essential biomolecules and play a key role in numerous biological processes.
Researchers studying biosynthetic pathways often utilize comperative analysis tools like PubCompare.ai to optimize their workflows, locate relevant protocols, and identify the most accurate and reproducible methods.
By leveraging AI-driven comparisons, scientists can enhance the efficiency and reliability of their biosynthetic pathways research.
Most cited protocols related to «Biosynthetic Pathways»
The profile-based detection of secondary metabolite clusters has now been augmented by a tighter integration of the generalized PFAM (22 (link)) domain-based ClusterFinder algorithm (Cimermancic et al., in preparation) already included in version 1.0 of antiSMASH. This algorithm performs probabilistic inference of gene clusters by identifying genomic regions with unusually high frequencies of secondary metabolism-associated PFAM domains, and it was designed to detect ‘classical’ as well as less typical and even novel classes of secondary metabolite gene clusters. While antiSMASH 1.0 only generated the output of this algorithm in a static image, version 2.0 displays these additional putative gene clusters along with the other gene clusters in the HTML output. A key advantage of this is that these putative gene clusters will now also be included in the subsequent (Sub)ClusterBlast analyses.
Most recents protocols related to «Biosynthetic Pathways»
Example 2
PAO1, the parent strain of PGN5, is a wild-type P. aeruginosa strain that produces relatively small amounts of alginate and exhibits a non-mucoid phenotype; thus, PGN5 is also non-mucoid when cultured (
To examine whether the alginate produced by PGN5+mucE was similar in composition to alginate produced by VE2, HPLC was performed to compare the M and G content of alginate produced by each strain. The chromatograms obtained from alginate prepared from VE2 and PGN5+mucE were identical (
Example 2
Expressed and purified dihydropteroate synthase (DHPS) from S. aureus (saDHPS) was cloned. DHPS is the enzyme that installs PABA (p-aminobenzoic acid) in the folate biosynthesis pathway (Scheme 2). It has been demonstrated that the PABA analog PAS (2-aminosalicylate) is incorporated into folic acid in M. tuberculosis (Chakraborty, S. et al. 2013), suggesting that PAS is a substrate for DHPS. Using a coupled assay, it was determined that the kinetic parameters for saDHPS with PABA, PAS and F-PABA. Importantly, all three compounds have similar kcat and Km values indicating that F-PABA is an alternative substrate for saDHPS. Since PAS is an antibacterial compound whose mechanism of action may be related for the ability of this compound to compete with PABA for DHPS, we determined the antibacterial activity and cytotoxicity of F-PABA for several bacterial species as well as Vero cells. In each case no growth inhibition was observed up to 200 μg/ml. Unlike PAA, 2-F-PABA has no antibacterial activity (Table 1).
Example 1
Since the biosynthetic pathway of anatabine and its associated genes is not completely known, a novel genetic variation was created in a population of tobacco plants to identify plants that have a significantly reduced ability to biosynthesize anatabine. These plants very likely have a mutated non-functional gene, critical for anatabine biosynthesis.
A population of the Flue-cured variety “401” was used in these experiments. Approximately 5000 seeds were treated with 0.6% ethyl methane sulfonate and germinated. M1 plants were grown in the field and M2 seeds were collected. Fifteen hundred M2 seeds were germinated and grown in 4-inch pots. At 50% flowering stage, plants were topped. Leaf samples were collected 2 weeks after topping and the samples screened for anatabine levels using high performance thin layer chromatography (HP-TLC) and gas chromatography.
After screening for alkaloids, two Flue Cured (FC) 401 ultra-low anatabine (ULA) lines were selected for trait development. It is noted that the amount of nicotine in both ULA lines is unchanged.
Example 10
The relative contribution of ADC and ODC to putrescine biosynthesis was evaluated by measuring the activity of each enzyme in the leaves (leaf 23) and roots of the NA and LA plants at topping and harvest. ADC and ODC activity varied in an organ-specific and developmental stage-specific manner in both lines (
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More about "Biosynthetic Pathways"
These pathways play a crucial role in numerous biological processes, including energy production, signal transduction, and cellular structure formation.
Researchers studying biosynthetic pathways often utilize comparative analysis tools like PubCompare.ai to optimize their workflows, locate relevant protocols, and identify the most accurate and reproducible methods.
By leveraging AI-driven comparisons, scientists can enhance the efficiency and reliability of their biosynthetic pathways research.
One key technique used in biosynthetic pathways research is qPCR (quantitative Polymerase Chain Reaction), which allows for the amplification and quantification of specific DNA or RNA sequences.
The StepOnePlus Real-Time PCR System and the CFX96 Real-Time System are examples of qPCR instruments that can be used to study gene expression and other molecular processes involved in biosynthetic pathways.
Another important tool is mass spectrometry, which can be used to identify and quantify the biomolecules produced through biosynthetic pathways.
The 4800 MALDI-TOF/TOF mass spectrometer is a powerful instrument that can be utilized for this purpose.
Additionally, researchers may use reagents like TRIzol and the RevertAid First Strand cDNA Synthesis Kit to extract and prepare RNA and cDNA samples for analysis.
The ChamQ Universal SYBR qPCR Master Mix and the SYBR Premix Ex Taq II can then be used to perform qPCR on these samples.
Data analysis is a crucial aspect of biosynthetic pathways research, and tools like the Data Explorer 4.9 Software can be used to analyze and visualize the data generated from experiments.
The MiSeq and HiSeq 2000 platforms are also commonly used in this field for high-throughput sequencing of DNA and RNA samples.
By leveraging these various techniques and tools, researchers can gain a deeper understanding of the complex and dynamic biosynthetic pathways that are essential for the survival and function of living organisms.