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Molecular genetic estimates of population effective size (N e ) lose accuracy and precision when insufficient numbers of samples or loci are used. Ideally, researchers would like to forecast the necessary power when planning their project. neogen (genetic N e for Overlapping Generations) enables estimates of precision and accuracy in advance of empirical investigation and allows exploration of the power available in different user-specified age-structured sampling schemes. neogen provides a population simulation and genetic power analysis framework that simulates the demographics, genetic composition, and N e , from species-specific life history, mortality, population size, and genetic priors. neogen guides the user to establish a tractable sampling regime and to determine the numbers of samples and microsatellite or SNP loci required for accurate and precise genetic N e estimates when sampling a natural population. neogen is useful at multiple stages of a study's life cycle: when budgeting, as sampling and locus development progresses, and for corroboration when empirical N e estimates are available. The underlying model is applicable to a wide variety of iteroparous species with overlapping generations (e.g., mammals, birds, reptiles, long-lived fishes). In this paper, we describe the neogen model, detail the workflow for the point-and-click software, and explain the graphical results. We demonstrate the use of neogen with empirical Australian east coast zebra shark (Stegostoma fasciatum) data. For researchers wishing to make accurate and precise genetic N e estimates for overlapping generations species, neogen facilitates planning for sample and locus acquisition, and with existing empirical genetic N e estimates neogen can corroborate population demographic and life history properties., (© 2018 John Wiley & Sons Ltd.)

Sustainable exploitation of fisheries populations is challenging to achieve when the size of the population prior to exploitation and the actual numbers removed over time and across fishing zones are not clearly known. Quantitative fisheries' modeling is able to address this problem, but accurate and reliable model outcomes depend on high quality input data. Much of this information is obtained through the operation of the fishery under consideration, but while this seems appropriate, biases may occur. For example, poorly quantified changes in fishing methods that increase catch rates can erroneously suggest that the overall population size is increasing. Hence, the incorporation of estimates of abundance derived from independent data sources is preferable. We review and evaluate a fisheries-independent method of indexing population size; inferring adult abundance from estimates of the genetic effective size of a population (N e ). Recent studies of elasmobranch species have shown correspondence between N e and ecologically determined estimates of the population size (N). Simulation studies have flagged the possibility that the range of N e /N ratios across species may be more restricted than previously thought, and also show that declines in N e track declines in the abundance of model fisheries species. These key developments bring this new technology closer to implementation in fisheries science, particularly for data-poor fisheries or species of conservation interest., (© 2016 The Fisheries Society of the British Isles.)

The sandbar shark, Carcharhinus plumbeus, a major representative species in shark fisheries worldwide is now considered vulnerable to overfishing. A pool of 774,234 Roche 454 shotgun sequences from one individual were assembled into a 16,706 bp mitogenome with 33× average coverage depth. It comprised 13 protein coding genes, 22 transfer RNA's, 2 ribosomal genes and 2 non-coding regions, typical of a vertebrate mitogenome. As expected for sharks, an A-T nucleotide bias was evident. This adds to rapidly growing number of mitogenome assemblies for the economically important Carcharhinidae family. The C. plumbeus mitogenome will assist researchers, fisheries and conservation managers interested in shark molecular systematics, phylogeography, conservation genetics, population and stock structure.

The dusky shark Carcharhinus obscurus is economically important but vulnerable to overharvesting. The complete C. obscurus mitogenome was assembled from approximately 1 million whole genome shotgun sequences using a combination of reference mapping and de novo assembly (mean coverage 59x). This resulted in a 16,706 bp double-stranded circular mitochondrial sequence. Following the consensus vertebrate mtDNA genome, it comprises 13 protein-coding genes, 22 transfer RNAs, two ribosomal RNAs and has 2 non-coding areas. The A + T (56.9%) versus G + C (43.1%) composition confirmed an A + T bias previously noted for sharks. This genome is the first for the speciose Carcharhinus genus and provides a valuable resource for studies of shark molecular systematics, phylogeography, conservation genetics, and stock structure.

Since the first investigation 25 years ago, the application of genetic tools to address ecological and evolutionary questions in elasmobranch studies has greatly expanded. Major developments in genetic theory as well as in the availability, cost effectiveness and resolution of genetic markers were instrumental for particularly rapid progress over the last 10 years. Genetic studies of elasmobranchs are of direct importance and have application to fisheries management and conservation issues such as the definition of management units and identification of species from fins. In the future, increased application of the most recent and emerging technologies will enable accelerated genetic data production and the development of new markers at reduced costs, paving the way for a paradigm shift from gene to genome-scale research, and more focus on adaptive rather than just neutral variation. Current literature is reviewed in six fields of elasmobranch molecular genetics relevant to fisheries and conservation management (species identification, phylogeography, philopatry, genetic effective population size, molecular evolutionary rate and emerging methods). Where possible, examples from the Indo-Pacific region, which has been underrepresented in previous reviews, are emphasized within a global perspective., (© 2012 The Authors. Journal of Fish Biology © 2012 The Fisheries Society of the British Isles.)