Project description:We investigated whether two sympatric Arctic charr morphs (Salvelinus alpinus) with contrasting feeding ecology, the small-benthic (SB) and the planktivorous (PL) charr of Thingvallavatn in Iceland, exhibit genetically based differences in gene expression variability, and how dominance would affect their hybrids. Through a common-garden experiment, we identified genes clusters with similar expression variability, most differing among the two morphs. In the hybrids, gene expression variability was substantially affected by maternal effects and biases towards the PL charr, while the expression of a minority of genes felt outside the range of parental values. These profiles of expression variability were consistent across mRNA and miRNA datasets. Predominant maternal effects and PL charr biases were also observed at the level of average gene expression, including candidate genes involved in the lower jaw development.
Project description:Understanding biological diversity and distribution patterns at multiple spatial scales is a central issue in ecology. Here, we investigated the biogeographical patterns of functional genes in soil microbes from 24 arctic heath sites using GeoChip-based metagenomics and principal coordinates of neighbour matrices (PCNM)-based analysis. Functional gene richness varied considerably among sites, while the proportions of each major functional gene category were evenly distributed. Functional gene composition varied significantly at most medium and broad spatial scales, and the PCNM analyses indicated that 14-20% of the variation in total and major functional gene categories could be attributed primarily to relatively broad-scale spatial effects that were consistent with broad-scale variation in soil pH and total nitrogen. The combination of variance partitioning and multi-scales analysis indicated that spatial distance effects contributed 12% to variation in functional gene composition,whereas environmental factors contributed only 3%. This relatively strong influence of spatial as compared to environmental variation in determining functional gene distributions contrasts sharply with typical microbial phylotype/species-based biogeographical patterns in the Arctic and elsewhere. Our results suggest that the distributions of soil functional genes cannot be predicted from phylogenetic distributions because spatial factors associated with historical contingencies are relatively important determinants of their biogeography.
Project description:Physiological changes in response to environmental cues are not easily documented in pelagic copepods using traditional methods. Molecular biological tools provide new approaches to the investigation of difficult to sample organisms such as oceanic zooplankton. Here, we describe the development of a species-specific microarray for high-throughput studies of the physiological ecology of the North Atlantic copepod Calanus finmarchicus. An EST database was generated for this species using a normalized cDNA library derived from adult and sub-adult individuals from the Gulf of Maine. Sequence data were clustered into contigs and annotated using Blastx. Target transcripts were selected, and unique, 50 base-pair long, oligomer probes were designed and synthesized for 995 genes. Bioinformatic processing using Blast2GO software provided detailed information on gene function. The selected targets include a broad representation of biological processes, cellular components, and molecular functions. The microarray was tested on both experimental and ecological samples, i.e. food abundance and two morphotypes exhibiting distinct lipid stores, respectively. Differentially regulated transcripts were identified for both comparisons. Two comparisons were performed: 1) Lipid-rich (fat) and Lipid-poor (thin) morphotypes 2) Copepods kept under high food and low food experimental conditions