In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".

[Q]: Paragraph: Clinical metagenomics (CMg) is the discipline that refers to the sequencing of all nucleic acid material present within a clinical specimen with the intent to recover clinically relevant microbial information. From a diagnostic perspective, next-generation sequencing (NGS) offers the ability to rapidly identify putative pathogens and predict their antimicrobial resistance profiles to optimize targeted treatment regimens. Since the introduction of metagenomics nearly a decade ago, numerous reports have described successful applications in an increasing variety of biological specimens, such as respiratory secretions, cerebrospinal fluid, stool, blood and tissue. Considerable advancements in sequencing and computational technologies in recent years have made CMg a promising tool in clinical microbiology laboratories. Moreover, costs per sample and turnaround time from specimen receipt to clinical management continue to decrease, making the prospect of CMg more feasible. Many difficulties, however, are associated with CMg and warrant further improvements such as the informatics infrastructure and analytical pipelines. Thus, the current review focuses on comprehensively assessing applications of CMg for diagnostic and subtyping purposes. Crown
Title: Highlighting Clinical Metagenomics for Enhanced Diagnostic Decision-making: A Step Towards Wider Implementation
[A]: True

[Q]: Paragraph: A B S T R A C T Acute hepatopancreatic necrosis disease (AHPND), also known as Early mortality syndrome (EMS), is a recently emerged lethal disease that has caused major economic losses in shrimp aquaculture. The etiologic agents are Vibrio spp. that carry Photorhabdus Insect-Related (Pir) toxin genes pirA and pirB. A multiplex SYBR Green realtime PCR was developed that detects pirA, pirB, and two internal control genes, the shrimp 18S rRNA and the bacterial 16S rRNA genes in a single reaction. The pirB primers amplify the 3'-end of the pirB gene allowing the detection of Vibrio spp. mutants that contain a complete deletion of pirA and the partial deletion of pirB. The assay also detects mutants that contain the entire pirA gene and the deletion of the pirB gene. Since both toxin genes are needed for disease development, this assays can distinguish between pathogenic strains of Vibrio spp. that cause AHPND in shrimp and mutants that do not cause disease. The amplicons for pirA, pirB, 18S rRNA and 16S rRNA showed easily distinguishable melting temperatures of 78.21 0.18, 75.20 0.20, 82.28 0.34 and 85.41 0.21C respectively. Additionally, a duplex real-time PCR assay was carried out by designing TaqMan probes for the pirA and pirB primers. The diagnostic sensitivity and specificity was compared between the SYBR Green and TaqMan assays. Both assays showed similar sensitivity with a limit of detection being 10 copies for pirA and pirB, and neither assays showed any cross reaction with other known bacterial and viral pathogens in shrimp. The high sensitivity of both assays make them suitable for the detection of low copies of the pirA and pirB genes in AHPND causing Vibrio spp. as well as for detecting non-pathogenic mutants.
Title: Multiplex SYBR Green and duplex TaqMan real-time PCR assays for the detection of Photorhabdus Insect-Related (Pir) toxin genes pirA and pirB
[A]: False

[Q]: Paragraph: Background: Glycyrrhiza uralensis is one of the most popular medicinal plants in the world and is also widely used in the flavoring of food and tobacco. Due to limited genomic and transcriptomic data, the biosynthetic pathway of glycyrrhizin, the major bioactive compound in G. uralensis, is currently unclear. Identification of candidate genes involved in the glycyrrhizin biosynthetic pathway will significantly contribute to the understanding of the biosynthetic and medicinal chemistry of this compound. We used the 454 GS FLX platform and Titanium regents to produce a substantial expressed sequence tag (EST) dataset from the vegetative organs of G. uralensis. A total of 59,219 ESTs with an average read length of 409 bp were generated. 454 ESTs were combined with the 50,666 G. uralensis ESTs in GenBank. The combined ESTs were assembled into 27,229 unique sequences (11,694 contigs and 15,535 singletons). A total of 20,437 unique gene elements representing approximately 10,000 independent transcripts were annotated using BLAST searches (e-value 1e-5) against the SwissProt, KEGG, TAIR, Nr and Nt databases. The assembled sequences were annotated with gene names and Gene Ontology (GO) terms. With respect to the genes related to glycyrrhizin metabolism, genes encoding 16 enzymes of the 18 total steps of the glycyrrhizin skeleton synthesis pathway were found. To identify novel genes that encode cytochrome P450 enzymes and glycosyltransferases, which are related to glycyrrhizin metabolism, a total of 125 and 172 unigenes were found to be homologous to cytochrome P450s and glycosyltransferases, respectively. The cytochrome P450 candidate genes were classified into 32 CYP families, while the glycosyltransferase candidate genes were classified into 45 categories by GO analysis. Finally, 3 cytochrome P450 enzymes and 6 glycosyltransferases were selected as the candidates most likely to be involved in glycyrrhizin biosynthesis through an organ-specific expression pattern analysis based on real-time PCR. Conclusions: Using the 454 GS FLX platform and Titanium reagents, our study provides a high-quality EST database for G. uralensis. Based on the EST analysis, novel candidate genes related to the secondary metabolite pathway of glycyrrhizin, including novel genes encoding cytochrome P450s and glycosyltransferases, were found. With the assistance of organ-specific expression pattern analysis, 3 unigenes encoding cytochrome P450s and 6 unigenes encoding glycosyltransferases were selected as the candidates most likely to be involved in glycyrrhizin biosynthesis.
Title: EST analysis reveals putative genes involved in glycyrrhizin biosynthesis
[A]:
False