
Unlocking the potential of ancient fish DNA in the genomic era
Author(s) -
Oosting Tom,
Star Bastiaan,
Barrett James H.,
Wellenreuther Maren,
Ritchie Peter A.,
Rawlence Nicolas J.
Publication year - 2019
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/eva.12811
Subject(s) - biology , genomics , fisheries science , fish <actinopterygii> , data science , ancient dna , relevance (law) , ecology , genome , fishery , evolutionary biology , fisheries management , computer science , fishing , political science , genetics , population , demography , sociology , gene , law
Fish are the most diverse group of vertebrates, fulfil important ecological functions and are of significant economic interest for aquaculture and wild fisheries. Advances in DNA extraction methods, sequencing technologies and bioinformatic applications have advanced genomic research for nonmodel organisms, allowing the field of fish ancient DNA (aDNA) to move into the genomics era. This move is enabling researchers to investigate a multitude of new questions in evolutionary ecology that could not, until now, be addressed. In many cases, these new fields of research have relevance to evolutionary applications, such as the sustainable management of fisheries resources and the conservation of aquatic animals. Here, we focus on the application of fish aDNA to (a) highlight new research questions, (b) outline methodological advances and current challenges, (c) discuss how our understanding of fish ecology and evolution can benefit from aDNA applications and (d) provide a future perspective on how the field will help answer key questions in conservation and management. We conclude that the power of fish aDNA will be unlocked through the application of continually improving genomic resources and methods to well‐chosen taxonomic groups represented by well‐dated archaeological samples that can provide temporally and/or spatially extensive data sets.