Ancient DNA reveals historical demographic decline and genetic erosion in the Atlantic bluefin tuna
Andrews, A. J.; Eriksen, E. F.; Star, B. J.; Praebel, K.; Di Natale, A.; Malca, E.; Zapfe, G.; Onar, V.; Aniceti, V.; Carenti, G.; Piques, G.; Nielsen, S. V.; Persson, P.; Piattoni, F.; Fontani, F.; Atmore, L. M.; Kersten, O.; Tinti, F.; Cilli, E.; Cariani, A.
Show abstract
Overexploitation has depleted fish stocks during the past century, nonetheless its genomic consequences remain poorly understood. Characterising the spatiotemporal patterns of these consequences may provide baseline estimates of past diversity and productivity to aid management targets, help predict future dynamics, and facilitate the identification of evolutionary factors limiting fish population recovery. Here, we evaluate human impacts on the evolution of the iconic Atlantic bluefin tuna (Thunnus thynnus), one of the longest and most intensely exploited marine fishes, with a tremendous cultural and economic importance. We sequenced whole genomes from modern (n=49) and ancient (n=41) specimens dating up to 5000 years ago, uncovering several novel findings. First, we identify temporally stable patterns of population admixture, as bluefin tuna caught off Norway and in the eastern Mediterranean share a greater degree of ancestry with Gulf of Mexico bluefin tuna than western and central Mediterranean bluefin tuna. This suggests that Atlantic spawning areas are important mixing grounds for the genetic diversity of Mediterranean bluefin tuna. We model effective population size to show that Mediterranean bluefin tuna began to undergo a demographic decline by the year 1900 to an extent not observed across the previous millennia. Coinciding with this, we found that heterozygosity and nucleotide diversity was significantly lower in modern (2013-2020), than ancient (pre-1941) Mediterranean bluefin tuna, suggesting bluefin tuna underwent a genetic bottleneck. With this work we show how ancient DNA provides novel perspectives on ecological complexity with the potential to inform the management and conservation of fishes. SignificanceAchieving the aim of the current UN Ocean Decade to "protect and restore ecosystems and biodiversity" is stymied by a lack of historical knowledge on how human exploitation has impacted and therefore what should be restored. Here, we sequence DNA in ancient fish bones to evaluate the historical diversity of the Atlantic bluefin tuna; which has been of great commercial importance for centuries. We find that bluefin tuna began to undergo demographic decline by 1900, 70 years earlier than currently recognised. Correspondingly, we find modern bluefin tuna had lower levels of genetic diversity than historical ones. This suggests that human impacts on the diversity of marine fishes are likely to have begun earlier and be more complex than previously thought.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impact of Holocene environmental change on the evolutionary ecology of an Arctic top predator 96%
- Dynamics of sex chromosome evolution in a rapid radiation of cichlid fishes 95%
- Reviving ghost alleles: Genetically admixed coyotes along the American Gulf Coast are critical for saving the endangered red wolf 95%
Similar papers in this journal
Similar papers in this journal
- Chromosomal inversions harbour excess mutational load in the coral, Acropora kenti, on the Great Barrier Reef 95%
- The strength and form of natural selection on transcript abundance in the wild 94%
- Lions and brown bears colonized North America in multiple synchronous waves of dispersal across the Bering Land Bridge 94%
Similar papers in this journal
- Post-meiotic mechanism of facultative parthenogenesis in gonochoristic whiptail lizard species. 95%
- Reconstructing the spatiotemporal patterns of admixture during the European Holocene using a novel genomic dating method 94%
- Dynamic molecular evolution of a supergene with suppressed recombination in white-throated sparrows 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.