Bestandsestimering av hjort ved bruk av jegerrapporterte data - Presentasjon av en kjønns- og stadium-strukturert dynamisk populasjonsmodell

I denne rapporten viser vi at jegerrapporterte data gir mulighet for robust bestandsestimering av hjort basert på modellgenererte populasjonsforløp og derved mulighet for framskriving av bestandsutvikling som funksjon av jaktuttak. Tidsseriedataene, populasjonsmodellen og metoden for sammenstilling definerer til sammen en estimeringsmodell. Med utgangspunkt i data fra kommunene Averøy, Tingvoll, Surnadal og Sunndal i Møre og Romsdal viser vi hvordan en slik estimeringsmodell kan brukes til å få robuste anslag for størrelse og sammensetning av hjortebestandene på lokalt nivå.Bestandsestimering av hjort ved bruk av jegerrapporterte data - Presentasjon av en kjønns- og stadium-strukturert dynamisk populasjonsmodellpublishedVersio

A Dense SNP-Based Linkage Map for Atlantic Salmon (Salmo salar) Reveals extended Chromosome Homeologies and Striking Differences in Sex-Specific Recombination Patterns

Background: The Atlantic salmon genome is in the process of returning to a diploid state after undergoing awhole genome duplication (WGD) event between 25 and100 million years ago. Existing data on the proportion ofparalogous sequence variants (PSVs), multisite variants (MSVs) and other types of complex sequence variationsuggest that the rediplodization phase is far from over. The aims of this study were to construct a high densitylinkage map for Atlantic salmon, to characterize the extent of rediploidization and to improve our understandingof genetic differences between sexes in this species.Results: A linkage map for Atlantic salmon comprising 29 chromosomes and 5650 single nucleotidepolymorphisms (SNPs) was constructed using genotyping data from 3297 fish belonging to 143 families. Of these,2696 SNPs were generated from ESTs or other gene associated sequences. Homeologous chromosomal regionswere identified through the mapping of duplicated SNPs and through the investigation of syntenic relationshipsbetween Atlantic salmon and the reference genome sequence of the threespine stickleback (Gasterosteusaculeatus). The sex-specific linkage maps spanned a total of 2402.3 cM in females and 1746.2 cM in males,highlighting a difference in sex specific recombination rate (1.38:1) which is much lower than previously reportedin Atlantic salmon. The sexes, however, displayed striking differences in the distribution of recombination siteswithin linkage groups, with males showing recombination strongly localized to telomeres.Conclusion: The map presented here represents a valuable resource for addressing important questions of interestto evolution (the process of re-diploidization), aquaculture and salmonid life history biology and not least as aresource to aid the assembly of the forthcoming Atlantic salmon reference genome sequence

Genotype–Phenotype Map Characteristics of an In silico Heart Cell

Understanding the causal chain from genotypic to phenotypic variation is a tremendous challenge with huge implications for personalized medicine. Here we argue that linking computational physiology to genetic concepts, methodology, and data provides a new framework for this endeavor. We exemplify this causally cohesive genotype–phenotype (cGP) modeling approach using a detailed mathematical model of a heart cell. In silico genetic variation is mapped to parametric variation, which propagates through the physiological model to generate multivariate phenotypes for the action potential and calcium transient under regular pacing, and ion currents under voltage clamping. The resulting genotype-to-phenotype map is characterized using standard quantitative genetic methods and novel applications of high-dimensional data analysis. These analyses reveal many well-known genetic phenomena like intralocus dominance, interlocus epistasis, and varying degrees of phenotypic correlation. In particular, we observe penetrance features such as the masking/release of genetic variation, so that without any change in the regulatory anatomy of the model, traits may appear monogenic, oligogenic, or polygenic depending on which genotypic variation is actually present in the data. The results suggest that a cGP modeling approach may pave the way for a computational physiological genomics capable of generating biological insight about the genotype–phenotype relation in ways that statistical-genetic approaches cannot

Disentangling genetic and epigenetic determinants of ultrafast adaptation

A major rationale for the advocacy of epigenetically mediated adaptive responses is that they facilitate faster adaptation to environmental challenges. This motivated us to develop a theoretical–experimental framework for disclosing the presence of such adaptation‐speeding mechanisms in an experimental evolution setting circumventing the need for pursuing costly mutation–accumulation experiments. To this end, we exposed clonal populations of budding yeast to a whole range of stressors. By growth phenotyping, we found that almost complete adaptation to arsenic emerged after a few mitotic cell divisions without involving any phenotypic plasticity. Causative mutations were identified by deep sequencing of the arsenic‐adapted populations and reconstructed for validation. Mutation effects on growth phenotypes, and the associated mutational target sizes were quantified and embedded in data‐driven individual‐based evolutionary population models. We found that the experimentally observed homogeneity of adaptation speed and heterogeneity of molecular solutions could only be accounted for if the mutation rate had been near estimates of the basal mutation rate. The ultrafast adaptation could be fully explained by extensive positive pleiotropy such that all beneficial mutations dramatically enhanced multiple fitness components in concert. As our approach can be exploited across a range of model organisms exposed to a variety of environmental challenges, it may be used for determining the importance of epigenetic adaptation‐speeding mechanisms in general.publishedVersio

The Atlantic salmon genome provides insights into rediploidization

The whole-genome duplication 80 million years ago of the common ancestor of salmonids (salmonid-specific fourth vertebrate whole-genome duplication, Ss4R) provides unique opportunities to learn about the evolutionary fate of a duplicated vertebrate genome in 70 extant lineages. Here we present a high-quality genome assembly for Atlantic salmon (Salmo salar), and show that large genomic reorganizations, coinciding with bursts of transposon-mediated repeat expansions, were crucial for the post-Ss4R rediploidization process. Comparisons of duplicate gene expression patterns across a wide range of tissues with orthologous genes from a pre-Ss4R outgroup unexpectedly demonstrate far more instances of neofunctionalization than subfunctionalization. Surprisingly, we find that genes that were retained as duplicates after the teleost-specific whole-genome duplication 320 million years ago were not more likely to be retained after the Ss4R, and that the duplicate retention was not influenced to a great extent by the nature of the predicted protein interactions of the gene products. Finally, we demonstrate that the Atlantic salmon assembly can serve as a reference sequence for the study of other salmonids for a range of purposes.publishedVersio

Sequencing the genome of the Atlantic salmon (Salmo salar)

The International Collaboration to Sequence the Atlantic Salmon Genome (ICSASG) will produce a genome sequence that identifies and physically maps all genes in the Atlantic salmon genome and acts as a reference sequence for other salmonids

Bestandsestimering av hjort ved bruk av jegerrapporterte data - Presentasjon av en kjønns- og stadium-strukturert dynamisk populasjonsmodell

I denne rapporten viser vi at jegerrapporterte data gir mulighet for robust bestandsestimering av hjort basert på modellgenererte populasjonsforløp og derved mulighet for framskriving av bestandsutvikling som funksjon av jaktuttak. Tidsseriedataene, populasjonsmodellen og metoden for sammenstilling definerer til sammen en estimeringsmodell. Med utgangspunkt i data fra kommunene Averøy, Tingvoll, Surnadal og Sunndal i Møre og Romsdal viser vi hvordan en slik estimeringsmodell kan brukes til å få robuste anslag for størrelse og sammensetning av hjortebestandene på lokalt nivå

150 Years of the Mass Action Law

This year we celebrate the 150th anniversary of the law of mass action. This law is often assumed to have been “there” forever, but it has its own history, background, and a definite starting point. The law has had an impact on chemistry, biochemistry, biomathematics, and systems biology that is difficult to overestimate. It is easily recognized that it is the direct basis for computational enzyme kinetics, ecological systems models, and models for the spread of diseases. The article reviews the explicit and implicit role of the law of mass action in systems biology and reveals how the original, more general formulation of the law emerged one hundred years later ab initio as a very general, canonical representation of biological processes