Development of a PCR-based tool for detecting immunologically relevant Alt a 1 and Alt a 1 homologue coding sequences
Autor: | Ester Suñén, Jorge Martínez, Marta F. Gabriel, A. Gutiérrez-Rodríguez, Cândida T. Tomaz, Idoia Postigo |
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Rok vydání: | 2015 |
Předmět: |
Genetics
Antigens Fungal Fungi Sequence Analysis DNA General Medicine Biology Amplicon Bioinformatics biology.organism_classification Polymerase Chain Reaction Alternaria alternata law.invention Infectious Diseases law GenBank Complementary DNA Recombinant DNA DNA Fungal Mycological Typing Techniques Pleosporaceae Sequence Alignment Gene Polymerase chain reaction Environmental Monitoring |
Zdroj: | Medical Mycology. 53:636-642 |
ISSN: | 1460-2709 1369-3786 |
DOI: | 10.1093/mmy/myv022 |
Popis: | Alt a 1 has been recognized as the most important allergen produced by the Pleosporaceae family and is a risk factor for asthma development and/or exacerbation. The aim of this study was to develop a detection tool that is highly specific for species that produced airborne Alt a 1. Based on the highly conserved internal nucleotide region of the several Alt a 1 sequences that are available in GenBank, a pair of primers (Alta1CF/Alta1CR) was designed. A set of primers used by other authors for the production of recombinant Alt a 1 (A21F/A21R) was also tested. The molecular analyses were based on the polymerase chain reaction (PCR) amplification and sequencing of the cDNA that was obtained from thirteen common fungal species. The PCR system that utilized Alta1CF/Alta1CR was highly specific, sensitive, and was able to detect an amplicon of approximately 180 bp from Alt a 1 and Alt a 1-like encoding genes from A. alternata, A. tenuissima, A. infectoria, U. botrytis, and S. botryosum. In contrast, the A21F/A21R primers were specific for the very close taxonomically related species A. alternata and A. tenuissima. Thus, this rapid, sensitive, and specific detection tool can be used to assess Alt a 1 exposure levels and to inform the implementation of the appropriate public health measures. |
Databáze: | OpenAIRE |
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