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dc.contributor.authorMayne, B
dc.contributor.authorEspinoza, T
dc.contributor.authorRoberts, D
dc.contributor.authorButler, GL
dc.contributor.authorBrooks, S
dc.contributor.authorKorbie, D
dc.contributor.authorJarman, S
dc.date.accessioned2021-07-07T05:03:29Z
dc.date.available2021-07-07T05:03:29Z
dc.date.issued2021
dc.identifier.issn1755-098X
dc.identifier.doi10.1111/1755-0998.13440
dc.identifier.urihttp://hdl.handle.net/10072/405792
dc.description.abstractAge-based demography is fundamental to management of wild fish populations. Age estimates for individuals can determine rates of change in key life-history parameters such as length, maturity, mortality and fecundity. These age-based characteristics are critical for population viability analysis in endangered species and for developing sustainable harvest strategies. For teleost fish, age has traditionally been determined by counting increments formed in calcified structures such as otoliths. However, the collection of otoliths is lethal and therefore undesirable for threatened species. At a molecular level, age can be predicted by measuring DNA methylation. Here, we use previously identified age-associated sites of DNA methylation in zebrafish (Danio rerio) to develop two epigenetic clocks for three threatened freshwater fish species. One epigenetic clock was developed for the Australian lungfish (Neoceratodus forsteri) and the second for the Murray cod (Maccullochella peelii) and Mary River cod (Maccullochella mariensis). Age estimation models were calibrated using either known-age individuals, ages derived from otoliths or bomb radiocarbon dating of scales. We demonstrate a high Pearson's correlation between the chronological and predicted age in both the Lungfish clock (cor =.98) and Maccullochella clock (cor =.92). The median absolute error rate for both epigenetic clocks was also low (Lungfish = 0.86 years; Maccullochella = 0.34 years). This study demonstrates the transferability of DNA methylation sites for age prediction between highly phylogenetically divergent fish species. Given the method is nonlethal and suited to automation, age prediction by DNA methylation has the potential to improve fisheries and other wildlife management settings.
dc.description.peerreviewedYes
dc.languageen
dc.publisherWiley
dc.relation.ispartofjournalMolecular Ecology Resources
dc.subject.fieldofresearchBiological sciences
dc.subject.fieldofresearchMarine and estuarine ecology (incl. marine ichthyology)
dc.subject.fieldofresearchZoology
dc.subject.fieldofresearchFisheries sciences
dc.subject.fieldofresearchcode31
dc.subject.fieldofresearchcode310305
dc.subject.fieldofresearchcode3109
dc.subject.fieldofresearchcode3005
dc.titleNonlethal age estimation of three threatened fish species using DNA methylation: Australian lungfish, Murray cod and Mary River cod
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMayne, B; Espinoza, T; Roberts, D; Butler, GL; Brooks, S; Korbie, D; Jarman, S, Nonlethal age estimation of three threatened fish species using DNA methylation: Australian lungfish, Murray cod and Mary River cod, Molecular Ecology Resources, 2021
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-07-07T04:33:09Z
dc.description.versionVersion of Record (VoR)
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.rights.copyright© 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorRoberts, David T.


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