Detalhes bibliográficos
Ano de defesa: |
2010 |
Autor(a) principal: |
SANTOS, Patrícia Ribeiro dos
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Orientador(a): |
ULHOA, Cirano Jose
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
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Programa de Pós-Graduação: |
Mestrado em Biologia
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Departamento: |
Ciências Biolóicas
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País: |
BR
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tde/1264
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Resumo: |
Biological control is a natural process that regulates the number of individuals existing in a population, by the action of another individual called "natural enemies or biological control agent (parasitoids, predators and pathogens), causing biotic mortality. Fungi that act as antagonists of phytopathogenic fungi have been used to control the disease, and 90% of these applications have been made using strains of fungi of the genus Trichoderma. The genus Trichoderma (Ascomycetes) Hypocreales, belonging to the class and brings Hifomicetos species that are among the soil fungi most commonly found in nature. There are several problems related to the nomenclature of individuals of this gender. Molecular tools such as markers and DNA Barcode has been used in identification of Trichoderma but also another fungi. The objective of this work was to identify isolates of Trichoderma spp. using only molecular tools. Analysis using markers make possible the observation of the high degree of genetic variability between these individuals, but proved problematic when the sample size was increased. The identification of individuals using DNA Barcode was possible only for a few individuals who show the need for the high quality sequences obtained by sequencing. The phylogenetic analysis was extremely difficult because is time consuming and required much time to perform the analysis. However by Neighbor-joining analysis was observed that when using databases such as BLAST error rate in identifying these species is high due to deposition of sequences of isolates incorrectly identified. |