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Recovering temperature signature on natural populations of aquatic insects

AutorHidalgo-Galiana, Amparo ; Biron, David G.; Ribera, Ignacio ; Cieslak, Alexandra
Fecha de publicaciónjul-2014
CitaciónSymposlum on Environmental Proteomics (2014)
ResumenTemperature is one of the most important abiotic factors that influence the limits of species distributions, in addition to intrinsic factors such as species-specific behaviour, metabolism, growth and reproduction rates. To understand the processes involved in the response to thermal stress of a narrowly distributed species, we carried out experiments analysing the differences in protein expression among two natural populations, Fifty-four individuals of Agabus ramblae MILLÁN & RIBERA (Dytiscidae: Coleoptera) of two populations (Murcia, SE Spain, and High Atlas, central Morocco) were collected in the field and transferred to the laboratory, where they were acclimated for one week at conditions similar to those of their natural habitats, and fed ad libitum with frozen Chyronomidae lawae. We then applied for a subset of each population three temperature treatments in the range of what they may experience in the field (4oC, control at room temperature and 27'C) for l2h. The specimens were snap frozen immediately after the experiments (three replicas for each temperature treatment, three individuals in each replica). The experimental design allowed us to compare replicas, treatments and populations. Total protein extracts of each replica were used in DIGE experiments, and the images analysed with SameSpots and various statistical methods, e.g. heuristic analysis, principal component analysis and Eisen method using the normalized volume of spot proteins. Overall, the data indicate a high degree of similarity with respect to the total number and identity of spots. After analyses of the samples of both populations, we found significant similarities (p < 0,05 and p < 0.01). After a heuristic analysis we recovered the signatures corresponding with the temperature treatments, which were perfectly separated in different clusters for both experiments independently. By using principal component analysis and the Eisen method we could make a pre-selection of spots for sequencing and identification. With these experiments we show that it is possible to recover protein expression signatures after temperature treatments in two different natural populations of a non-model species. We also show the reproducibility of our experiments by obtaining the same response even when using specimens collected in their natural habitat, of unknown genetic background and without further information on the conditions they were exposed to.
DescripciónTrabajo presentado en el Symposlum on Environmental Proteomics, celebrado en Sheffield (UK) en julio de 2014.
Aparece en las colecciones: (IBE) Comunicaciones congresos
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