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: ORF la of lactate dehydrogenase-elevating virus, strain P (LDV-P), encodes a protein of 2206 amino acids. Eisenberg hydrophobic moment analysis of the protein predicted the presence of eleven transmembrane segments in the C-terminal half of the molecule (amino acids 980-1852) that flank the serine protease domain, cDNAs encoding ORF la protein segments encompassing transmembrane segments 5 to 11 and its amphipathic C-terminal end as well as the N-terminal 80 amino acids of the downstream ORF lb protein were transcribed and the transcripts in vitro translated in the absence and presence of microsomal membranes. The synthesis of the protein products with putative transmembrane segments was enhanced by the presence of the microsomal membranes and the proteins became membrane associated. When synthesized in the absence of membranes they were recovered in the supernatant upon ultracentrifugation of the translation reaction mixtures, whereas they were recovered in the membrane pellet when synthesized in the presence of membranes. Furthermore, the latter proteins were not released from the membranes by disruption of the membrane vesicles in carbonate buffer, pH 11.5, and large portions of the proteins were resistant to digestion by trypsin, chymotrypsin and proteinase K. No N-glycosylation was observed and only little, if any, processing of the protein by the putative serine protease. The results indicate that the C-terminal half of the ORF la protein represents a non-glycosylated integral membrane protein. Potential modes of synthesis and function of the protein are discussed. In addition, the results showed that the synthesis of the ORF la protein was generally terminated at its termination codon, but that read-through into the ORF lb gene occurred with low frequency.
Example Output: Membrane association of the C-terminal half of the open reading frame la protein of lactate dehydrogenase-elevating virus Brief Report

Example Input: In the last half century, significant attention has been given to animal diseases; however, our understanding of disease processes and how to manage them at the livestock-wildlife interface remains limited. In this study, we conduct a systematic review of the scientific literature to evaluate the status of diseases at the livestock-wildlife interface in the United States. Specifically, the goals of the literature review were three fold: first to evaluate domestic animal diseases currently found in the United States where wildlife may play a role; second to identify critical issues faced in managing these diseases at the livestock-wildlife interface; and third to identify potential technical and policy strategies for addressing these issues. We found that of the 86 avian, ruminant, swine, poultry, and lagomorph diseases that are reportable to the World Organization for Animal Health (OIE), 53 are present in the United States; 42 (79%) of these have a putative wildlife component associated with the transmission, maintenance, or life cycle of the pathogen; and 21 (40%) are known to be zoonotic. At least six of these reportable diseases-bovine tuberculosis, paratuberculosis, brucellosis, avian influenza, rabies, and cattle fever tick (vector control)-have a wildlife reservoir that is a recognized impediment to eradication in domestic populations. The complex nature of these systems highlights the need to understand the role of wildlife in the epidemiology, transmission, and maintenance of infectious diseases of livestock. Successful management or eradication of these diseases will require the development of cross-discipline and institutional collaborations. Despite social and policy challenges, there remain opportunities to develop new collaborations and new technologies to mitigate the risks posed at the livestock-wildlife interface. Published by Elsevier B.V.
Example Output: Diseases at the livestock-wildlife interface: Status, challenges, and opportunities in the United States

Example Input: Recent years have seen the development of numerous methodologies for reconstructing transmission trees in infectious disease outbreaks from densely sampled whole genome sequence data. However, a fundamental and as of yet poorly addressed limitation of such approaches is the requirement for genetic diversity to arise on epidemiological timescales. Specifically, the position of infected individuals in a transmission tree can only be resolved by genetic data if mutations have accumulated between the sampled pathogen genomes. To quantify and compare the useful genetic diversity expected from genetic data in different pathogen outbreaks, we introduce here the concept of 'transmission divergence', defined as the number of mutations separating whole genome sequences sampled from transmission pairs. Using parameter values obtained by literature review, we simulate outbreak scenarios alongside sequence evolution using two models described in the literature to describe transmission divergence of ten major outbreak-causing pathogens. We find that while mean values vary significantly between the pathogens considered, their transmission divergence is generally very low, with many outbreaks characterised by large numbers of genetically identical transmission pairs. We describe the impact of transmission divergence on our ability to reconstruct outbreaks using two outbreak reconstruction tools, the R packages outbreaker and phybreak, and demonstrate that, in agreement with previous observations, genetic sequence data of rapidly evolving pathogens such as RNA viruses can provide valuable information on individual transmission events. Conversely, sequence data of pathogens with lower mean transmission divergence, including Streptococcus pneumoniae, Shigella sonnei and Clostridium difficile, provide little to no information about individual transmission events. Our results highlight the informational limitations of genetic sequence data in certain outbreak scenarios, and demonstrate the need to expand the toolkit of outbreak reconstruction tools to integrate other types of epidemiological data. The increasing availability of genetic sequence data has sparked an interest in using pathogen whole genome sequences to reconstruct the history of individual transmission events PLOS Pathogens | https://doi.
Example Output:
When are pathogen genome sequences informative of transmission events?