Taking advantage of the genomics revolution for monitoring and conservation of chondrichthyan populations

Shaili Johri, Michael P. Doane, Lauren Allen, Elizabeth A. Dinsdale

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)
66 Downloads (Pure)

Abstract

Chondrichthyes (sharks, rays, skates and chimaeras) are among the oldest extant predators and are vital to top-down regulation of oceanic ecosystems. They are an ecologically diverse group occupying a wide range of habitats and are thus, exploited by coastal, pelagic and deep-water fishing industries. Chondrichthyes are among the most data deficient vertebrate species groups making design and implementation of regulatory and conservation measures challenging. High-throughput sequencing technologies have significantly propelled ecological investigations and understanding of marine and terrestrial species' populations, but there remains a paucity of NGS based research on chondrichthyan populations. We present a brief review of current methods to access genomic and metagenomic data from Chondrichthyes and discuss applications of these datasets to increase our understanding of chondrichthyan taxonomy, evolution, ecology and population structures. Last, we consider opportunities and challenges offered by genomic studies for conservation and management of chondrichthyan populations.

Original languageEnglish
Article number49
Number of pages26
JournalDiversity
Volume11
Issue number4
DOIs
Publication statusPublished - 1 Apr 2019
Externally publishedYes

Bibliographical note

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords

  • Conservation
  • Genomics
  • Metagenomics
  • Monitoring
  • Sharks

Fingerprint

Dive into the research topics of 'Taking advantage of the genomics revolution for monitoring and conservation of chondrichthyan populations'. Together they form a unique fingerprint.

Cite this