In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Q: Paul, P.S., 1990. Applications of nucleic acid probes in veterinary infectious diseases. Vet. Microbiol., 24:409-417. Nucleic acid probe technology is increasingly being used in basic research in veterinary microbiology and in diagnosis of infectious diseases of veterinary importance. This review presents an overview of nucleic acid probe methodology and its applications in veterinary infectious diseases. The major applications of nucleic acid probes include detection of pathogens in clinical samples, especially those organisms which are fastidious and difficult to cultivate, differentiation of virulent from avirulent organisms and vaccine strains from wild type isolates, typing of microorganisms, mapping genes, screening libraries of cloned DNA for specific genes, detection of latently infected or carrier animals, study of mechanisms of pathogenesis, epidemiological studies and food safety. 0378-1135/90/$03.50

A: Applications of nucleic acid probes in veterinary infectious diseases
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Q: showing signs of disease in southern China during the period from 2013-2015. The nucleotide and amino acid sequences from the isolated field strains were compared to 42 published references. Nucleotide homologies ranged from 63.1-99.9% and amino acid homologies ranging from 60.2-100%. At least seven IBV genotypes were co-circulating in commercial chicken farms in southern China. The IBV isolates were genetically diverse and underwent continuing evolution. The QX-type, TW I-type, and 4/91-type were the most common genotypes during the three-year observation period and accounted for 88.8% of the isolated strains. Notably, the prevalence of the TW I-type strains has been increasing in recent years and has become the most common genotype in China. The emergence of variant IBV strains can be attributed to recombination. Serologic analysis and antigenic 3D cartography of 4 reference and 14 field isolated strains indicated the surveyed IBVs had diverse serology types and that the serotype of the isolated QX-type and TW I-type strains was distinct from the vaccines strains. Therefore, long-term continuing surveillance is necessary for IBV prevention and control. Avian infectious bronchitis (IB) is an acute and highly contagious disease caused by the avian infectious bronchitis virus (IBV). IB causes substantial economic losses throughout the poultry industry worldwide. IBV affects chickens of all ages causing upper respiratory disease, nephritic syndromes, and decreased egg production 1 . IBV has been circulating in China since 1982. The epidemiology of IBV in China is complicated due to the large geographical area, and multiple IBV genotypes and serotypes are known to coexist 2 . Our previous epidemiology monitoring during 2004 to 2012, found at least seven genotypes of IBV circulating. In that study, the QX-like IBV genotype that causes nephritis had become predominant in China 3-6 . Although IBV vaccines are widely used and most commercial chickens have been vaccinated, there are still frequent outbreaks of IB that cause clinical disease and production problems 7-9 . For example, widespread use of vaccines derived from Massachusetts (Mass) serotypes such as H120 and H52 did not prevent frequent outbreaks of IB in chicken flocks 10, 11 . IBV belongs to the genus Gammacoronavirus, family Coronaviridae, and order Nidovirales. Its genome is linear, non-segmented, positive-sense, single-stranded RNA that is approximately 27.6 kilobases (kb) in length. As with other coronaviruses, the IBV S1 glycoprotein contains virus neutralizing epitopes and serotype-specific sequences 12, 13 . The S1 protein is involved in infectivity and plays an important role in attachment to the host cell, as well as induction of neutralizing antibodies 14 . Given the importance of the S1 protein virus/host interactions, IBV genetic analysis and research of IBV has been primarily based on the S1 gene 15 . Variation in the S1 protein is the basis for genotype and serotype classification, defines antigen characteristics, contributes to emergence of IBV variants, and poor vaccine protection 13, 16 . S1 variability is due in part to the lack of proofreading by the RNA-dependent RNA polymerase (RDRP) that introduces mutations into the viral genome during replication. Variation is also introduced by the specific template switching mechanism used by coronaviruses, which frequently leads to genetic recombination 17, 18 . At least 30 serotypes of IBV have been identified worldwide. Vaccine cross-protection between serotypes is minimal 19 . Therefore, phylogenetic and genetic analyses have become tools for monitoring the molecular evolution of IBV and provide a fast and accurate method for genotype classification. In some studies, the genotype analyses have been used to predict IBV serotype and used to inform vaccine selection 20 . In this study, long-term surveillance was conducted with the aim of identifying IBV strains isolated from commercial chicken farms in south China. During 2013-2015, IBV strains were isolated from flocks with clinical outbreaks. Genetic, phylogenetic, and recombination analyses were performed to study the genetic diversity of the S1 gene in field isolated IBV strains. Cross-neutralization tests and antigenic cartography were performed to determine the serological and antigenic relationship between a part of the isolated and vaccine strains.

A: Epidemiology and characterization of avian infectious bronchitis virus strains circulating in southern China during the period from 2013-2015 OPEN
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Q: The search for new biomarkers for diagnosis, prognosis and therapeutic monitoring of diseases continues in earnest despite dwindling success at finding novel reliable markers. Some of the current markers in clinical use do not provide optimal sensitivity and specificity, with the prostate cancer antigen (PSA) being one of many such examples. The emergence of proteomic techniques and systems approaches to study disease pathophysiology has rekindled the quest for new biomarkers. In particular the use of protein microarrays has surged as a powerful tool for large scale testing of biological samples. Approximately half the reports on protein microarrays have been published in the last two years especially in the area of biomarker discovery. In this review, we will discuss the application of protein microarray technologies that offer unique opportunities to find novel biomarkers.

A:
Applications of protein microarrays for biomarker discovery
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