dc.creator | Jorquera,Esteban | |
dc.creator | Morales,Paz | |
dc.creator | Tapia,David | |
dc.creator | Torres,Pamela | |
dc.creator | Eissler,Yoanna | |
dc.creator | Espinoza,Juan C | |
dc.creator | Conejeros,Pablo | |
dc.creator | Kuznar,Juan | |
dc.date | 2016-03-01 | |
dc.date.accessioned | 2019-05-03T12:45:23Z | |
dc.date.available | 2019-05-03T12:45:23Z | |
dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-34582016000200005 | |
dc.identifier.uri | http://revistaschilenas.uchile.cl/handle/2250/85538 | |
dc.description | Background: The genomes of several infectious pancreatic necrosis viruses (IPNVs) isolated in Chile were sequenced with a single amplification approach for both segments A and B. The resulting sequences were then used to determine the conservation of the primer-binding regions used in polymerase chain reaction (PCR)-based diagnostic methods proposed in the literature. Thus, the robustness of each technique was studied, particularly the eventual effect of further mutations within the primer-binding sites. Results: On analysis, most methods currently used to detect Chilean IPNV varieties were deemed adequate. However, the primers were designed to be genogroup specific, implying that most detection methods pose some risk of detecting all strains prevalent in the country, due to the coexistence of genogroups 1 and 5. Conclusions: Negative results must be interpreted carefully given the high genomic variability of IPNVs. Detection techniques (quantitative reverse transcription (qRT)-PCR) based on degenerate primers can be used to minimize the possibilities of false-negative detections. | |
dc.format | text/html | |
dc.language | en | |
dc.publisher | Pontificia Universidad Católica de Valparaíso | |
dc.relation | 10.1016/j.ejbt.2016.01.001 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Electronic Journal of Biotechnology v.19 n.2 2016 | |
dc.subject | IPNV detection | |
dc.subject | Mismatch's Tm analysis | |
dc.subject | QPCR | |
dc.title | Chilean IPNV isolates: Robustness analysis of PCR detection | |