Coping with genetic diversity: the contribution of pathogen and human genomics to modern vaccinology

Vaccine development faces major difficulties partly because of genetic variation in both infectious organisms and humans. This causes antigenic variation in infectious agents and a high interindividual variability in the human response to the vaccine. The exponential growth of genome sequence information has induced a shift from conventional culture-based to genome-based vaccinology, and allows the tackling of challenges in vaccine development due to pathogen genetic variability. Additionally, recent advances in immunogenetics and genomics should help in the understanding of the influence of genetic factors on the interindividual and interpopulation variations in immune responses to vaccines, and could be useful for developing new vaccine strategies. Accumulating results provide evidence for the existence of a number of genes involved in protective immune responses that are induced either by natural infections or vaccines. Variation in immune responses could be viewed as the result of a perturbation of gene networks; this should help in understanding how a particular polymorphism or a combination thereof could affect protective immune responses. Here we will present: i) the first genome-based vaccines that served as proof of concept, and that provided new critical insights into vaccine development strategies; ii) an overview of genetic predisposition in infectious diseases and genetic control in responses to vaccines; iii) population genetic differences that are a rationale behind group-targeted vaccines; iv) an outlook for genetic control in infectious diseases, with special emphasis on the concept of molecular networks that will provide a structure to the huge amount of genomic data.

Molecular analysis of the S1 gene of vaccine strains of infectious bronchitis virus using reverse transcriptase-polymerase chain reaction and restriction fragment length polymorphism

Infectious bronchitis virus [IBV] is an acute and contagious viral disease of poultry that affects different systems, including the respiratory tract in particular. IBV causes major economic losses in the poultry industry globally. Due to antigenic variation of the causative agent, control of the disease is difficult. To control the disease, many vaccines that belong to different serotypes are being used in many countries, including Iran. In the present study, the S1 genes of six different IBV vaccines were analyzed. The S1 genes of IBV vaccine strains were amplified by reverse transcriptase-polymerase chain reaction [RT-PCR] and the resultant PCR products were purified. Purified PCR products were digested separately with the restriction endonuclease, AluI. The generated restriction endonuclease fragment length polymorphism [RFLP] patterns of the S1 gene of IBV vaccine strains were compared. The results showed that the construction of a library of RFLP patterns of the S1 gene of vaccine strains in use is beneficial. The library has the potential for use as a quick and inexpensive method for determining the genotype of future outbreaks of IBV and also assesses the degree of their similarity to the strains for which vaccines exist

Comparison of predicted binders in Rhipicephalus (Boophilus) microplus intestine protein variants BM86 Campo Grande strain, BM86 and BM95 / Comparação da previsão de ligação das variantes de proteína de intestino de Rhipicephalus (Boophilus) microplus Bm86 cepa Campo Grande, Bm86 e Bm95

This paper reports the sequence analysis of Bm86 Campo Grande strain comparing it with Bm86 and Bm95 antigens from the preparations TickGardPLUS and GavacTM, respectively. The PCR product was cloned into pMOSBlue and sequenced. The secondary structure prediction tool PSIPRED was used to calculate alpha helices and beta strand contents of the predicted polypeptide. The hydrophobicity profile was calculated using the algorithms from the Hopp and Woods method, in addition to identification of potential MHC class-I binding regions in the antigens. Pair-wise alignment revealed that the similarity between Bm86 Campo Grande strain and Bm86 is 0.2 percent higher than that between Bm86 Campo Grande strain and Bm95 antigens. The identities were 96.5 percent and 96.3 percent respectively. Major suggestive differences in hydrophobicity were predicted among the sequences in two specific regions.

O objetivo deste estudo foi analisar a seqüência de Bm86 cepa Campo Grande comparando-a com os antígenos Bm86 e Bm95 das preparações TickGardPLUS e GavacTM, respectivamente. O produto de PCR foi clonado em PMOSBlue e seqüenciado. Para calcular os conteúdos de alfa-hélice e fita beta do polipeptídio previsto, foi utilizada a ferramenta de prognóstico de estrutura secundária PSIPRED. O perfil de hidrofobicidade foi calculado usando os algoritmos de Hopp e Woods, além da identificação das possíveis regiões de ligação com MHC classe I nos antígenos. O alinhamento "pair-wise" revelou que a similaridade entre Bm86 cepa Campo Grande e Bm86 é 0,2 por cento maior que aquela entre Bm86 cepa Campo Grande e Bm95. As identidades foram de 96,5 por cento e 96,3 por cento, respectivamente. Com relação à hidrofobicidade, os resultados sugerem que a maior diferença entre as seqüências está localizada em duas regiões específicas.