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.

Example Input: RSV infection is typically associated with secondary bacterial infection. We hypothesise that the local airway immune response to RSV has incidental antibacterial effects. Using coordinated proteomics and metagenomics analysis we simultaneously analysed the microbiota and proteomes of the upper airway and determined direct antibacterial activity in airway secretions of RSV-infected children. Here, we report that the airway abundance of Streptococcus was higher in samples collected at the time of RSV infection compared with samples collected one month later. RSV infection is associated with neutrophil influx into the airway and degranulation and is marked by overexpression of proteins with known antibacterial activity including BPI, EPX, MPO and AZU1. Airway secretions of children infected with RSV, have significantly greater antibacterial activity compared to RSV-negative controls. This RSVassociated, neutrophil-mediated antibacterial response in the airway appears to act as a regulatory mechanism that modulates bacterial growth in the airways of RSV-infected children.
Example Output: Airway response to respiratory syncytial virus has incidental antibacterial effects

Example Input: Combinations of porcine respiratory coronavirus (PRCV) and either of two swine influenza viruses (H1N1 or H3N2) were administered intranasally and by aerosol to six-to eight-week-old specific pathogen:free pigs. The clinical responses, gross respiratory lesions and growth performances of these pigs were studied and compared with those of single (PRCV, H1N1 or H3N2) and mock-infected animals. PRCV infection caused fever, growth retardation and lung lesions, but no respiratory symptoms. Infection with swine influenza viruses caused rather similar, mild symptoms of disease, with H1N1 infection being the least severe. Combined infections with influenza viruses and PRCV did not appear to enhance the pathogenicity of these viruses. Furthermore, viruses were isolated more frequently from tissues and nasal swabs taken from 'single' than 'dual' infected animals, suggesting a possible in vivo interference between replication of PRCV and swine influenza virus.
Example Output: Pathogenicity of concurrent infection of pigs with porcine respiratory coronavirus and swine influenza virus

Example Input: Lonicera japonica Thunb. is an important medicinal plant. The secondary metabolites in L. japonica are diverse and vary in levels during development, leading to the ambiguous evaluation for its medical value. In order to reveal the regulatory mechanism of secondary metabolites during the flowering stages, transcriptomic, proteomic, and metabolomic analyses were performed. The integration analysis of omic-data illustrated that the metabolic changes over the flower developmental stages were mainly involved in sugar metabolism, lipopolysaccharide biosynthesis, carbon conversion, and secondary metabolism. Further proteomic analysis revealed that uniquely identified proteins were mainly involved in glycolysis/phenylpropanoids and tricarboxylic acid cycle/ terpenoid backbone pathways in early and late stages, respectively. Transketolase was commonly identified in the 5 developmental stages and 2-fold increase in gold flowering stage compared with juvenile bud stage. Simple phenylpropanoids/flavonoids and 1-deoxy-D-xylulose-5-phosphate were accumulated in early stages and upregulated in late stages, respectively. These results indicate that phenylpropanoids were accumulated attributing to the activated glycolysis process in the early stages, while the terpenoids biosynthetic pathways might be promoted by the transketolase-contained regulatory circuit in the late stages of L. japonica flower development. Biological Significance: Lonicera japonica Thunb. is a native species in the East Asian and used in traditional Chinese medicine. In order to reveal the regulatory mechanism of secondary metabolites during the flowering stages, transcriptomic, proteomic, and metabolomic analyses were performed. The integration analysis of omicdata illustrated that the metabolic changes over the flower developmental stages were mainly involved in sugar metabolism, lipopolysaccharide biosynthesis, carbon conversion, and secondary metabolism. Our results indicate that phenylpropanoids were accumulated attributing to the activated glycolysis process in the early stages, while the terpenoids biosynthetic pathways might be promoted by the transketolase-contained regulatory circuit in the late stages of L. japonica flower development.
Example Output:
Integrative omics of Lonicera japonica Thunb. Flower development unravels molecular changes regulating secondary metabolites