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1.
Plant J ; 81(1): 68-80, 2015 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-25302566

RESUMO

Periodic outbreaks of spruce budworm (SBW) affect large areas of ecologically and economically important conifer forests in North America, causing tree mortality and reduced forest productivity. Host resistance against SBW has been linked to growth phenology and the chemical composition of foliage, but the underlying molecular mechanisms and population variation are largely unknown. Using a genomics approach, we discovered a ß-glucosidase gene, Pgßglu-1, whose expression levels and function underpin natural resistance to SBW in mature white spruce (Picea glauca) trees. In phenotypically resistant trees, Pgßglu-1 transcripts were up to 1000 times more abundant than in non-resistant trees and were highly enriched in foliage. The encoded PgßGLU-1 enzyme catalysed the cleavage of acetophenone sugar conjugates to release the aglycons piceol and pungenol. These aglycons were previously shown to be active against SBW. Levels of Pgßglu-1 transcripts and biologically active acetophenone aglycons were substantially different between resistant and non-resistant trees over time, were positively correlated with each other and were highly variable in a natural white spruce population. These results suggest that expression of Pgßglu-1 and accumulation of acetophenone aglycons is a constitutive defence mechanism in white spruce. The progeny of resistant trees had higher Pgßglu-1 gene expression than non-resistant progeny, indicating that the trait is heritable. With reported increases in the intensity of SBW outbreaks, influenced by climate, variation of Pgßglu-1 transcript expression, PgßGLU-1 enzyme activity and acetophenone accumulation may serve as resistance markers to better predict impacts of SBW in both managed and wild spruce populations.


Assuntos
Resistência à Doença/genética , Picea/fisiologia , Proteínas de Plantas/fisiologia , beta-Glucosidase/fisiologia , Acetofenonas/metabolismo , Animais , Perfilação da Expressão Gênica , Regulação da Expressão Gênica de Plantas , Herbivoria , Larva/fisiologia , Modelos Moleculares , Dados de Sequência Molecular , Mariposas/fisiologia , Picea/enzimologia , Picea/genética , Proteínas de Plantas/química , Proteínas de Plantas/genética , Proteínas de Plantas/metabolismo , Estrutura Terciária de Proteína , beta-Glucosidase/química , beta-Glucosidase/genética , beta-Glucosidase/metabolismo
2.
Sci Rep ; 7: 42273, 2017 02 16.
Artigo em Inglês | MEDLINE | ID: mdl-28205578

RESUMO

Variation in insect herbivory can lead to population structure in plant hosts as indicated by defence traits. In annual herbaceous, defence traits may vary between geographic areas but evidence of such patterns is lacking for long-lived species. This may result from the variety of selection pressures from herbivores, long distance gene flow, genome properties, and lack of research. We investigated the antagonistic interaction between white spruce (Picea glauca) and spruce budworm (SBW, Choristoneura fumiferana) the most devastating forest insect of eastern North America in common garden experiments. White spruces that are able to resist SBW attack were reported to accumulate the acetophenones piceol and pungenol constitutively in their foliage. We show that levels of these acetophenones and transcripts of the gene responsible for their release is highly heritable and that their accumulation is synchronized with the most devastating stage of SBW. Piceol and pungenol concentrations negatively correlate with rate of development in female SBW and follow a non-random geographic variation pattern that is partially explained by historical damage from SBW and temperature. Our results show that accumulation of acetophenones is an efficient resistance mechanism against SBW in white spruce and that insects can affect population structure of a long-lived plant.


Assuntos
Herbivoria/fisiologia , Insetos/fisiologia , Pinaceae/crescimento & desenvolvimento , Pinaceae/parasitologia , Árvores/crescimento & desenvolvimento , Árvores/parasitologia , Animais , Meio Ambiente , Feminino , Geografia , Modelos Lineares , Pinaceae/genética , Dinâmica Populacional , Característica Quantitativa Herdável , Árvores/genética
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