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dc.contributor.authorHollenbeck, Christopher M.
dc.contributor.authorJohnston, Ian A.
dc.date.accessioned2018-07-23T10:30:13Z
dc.date.available2018-07-23T10:30:13Z
dc.date.issued2018-07-18
dc.identifier.citationHollenbeck , C M & Johnston , I A 2018 , ' Genomic tools and selective breeding in molluscs ' , Frontiers in Genetics , vol. 9 , 253 . https://doi.org/10.3389/fgene.2018.00253en
dc.identifier.issn1664-8021
dc.identifier.otherPURE: 255029781
dc.identifier.otherPURE UUID: 2febfa1a-ac13-444f-8c24-5994a79307f3
dc.identifier.otherRIS: urn:3049BC1BD84BC3A07CF3A9371594E3FD
dc.identifier.otherScopus: 85050238465
dc.identifier.otherWOS: 000439089900001
dc.identifier.urihttp://hdl.handle.net/10023/15638
dc.descriptionThis review of genetic resources and selective breeding in molluscs was carried out as part of the European Marine Biological Research Infrastructure Cluster (EMBRIC) project funded by the European Union's Horizon 2020 research and innovation program under grant agreement No 654008.en
dc.description.abstractThe production of most farmed molluscs, including mussels, oysters, scallops, abalone, and clams, is heavily dependent on natural seed from the plankton. Closing the lifecycle of species in hatcheries can secure independence from wild stocks and enables long-term genetic improvement of broodstock through selective breeding. Genomic techniques have the potential to revolutionize hatchery-based selective breeding by improving our understanding of the characteristics of mollusc genetics that can pose a challenge for intensive aquaculture and by providing a new suite of tools for genetic improvement. Here we review characteristics of the life history and genetics of molluscs including high fecundity, self-fertilization, high genetic diversity, genetic load, high incidence of deleterious mutations and segregation distortion and critically assess their impact on the design and effectiveness of selective breeding strategies. A survey of the results of current breeding programs in the literature show that selective breeding with inbreeding control is likely the best strategy for genetic improvement of most molluscs, and on average growth rate can be improved by 10% per generation and disease resistance by 15% per generation across the major farmed species by implementing individual or family-based selection. Rapid advances in sequencing technology have resulted in a wealth of genomic resources for key species with the potential to greatly improve hatchery-based selective breeding of molluscs. In this review, we catalogue the range of genomic resources currently available for molluscs of aquaculture interest and discuss the bottlenecks, including lack of high-quality reference genomes and the relatively high cost of genotyping, as well as opportunities for applying genomics-based selection.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofFrontiers in Geneticsen
dc.rights© 2018 Hollenbeck and Johnston. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectAquacultureen
dc.subjectGenomicsen
dc.subjectSNP genotypingen
dc.subjectHeritabilityen
dc.subjectMarker assisted selectionen
dc.subjectGenomic selectionen
dc.subjectMolluscsen
dc.subjectSelective breedingen
dc.subjectSH Aquaculture. Fisheries. Anglingen
dc.subjectQH301 Biologyen
dc.subject.lccSHen
dc.subject.lccQH301en
dc.titleGenomic tools and selective breeding in molluscsen
dc.typeJournal itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.3389/fgene.2018.00253
dc.description.statusPeer revieweden


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