Fersiynau electronig

Dangosydd eitem ddigidol (DOI)

  • Kristina M Cammen
    University of Maine
  • Kimberly R Andrews
    University of Idaho
  • Emma L Carroll
    University of St Andrews
  • Andrew D Foote
    University of Bern
  • Emily Humble
    University of Bielefeld
  • Jane I Khudyakov
    Sonoma State University
  • Marie Louis
    University of St. Andrews
  • Michael R McGowen
    Queen Mary University of London
  • Morten Tange Olsen
    University of Copenhagen
  • Amy M Van Cise
    University of California, San Diego

The dramatic increase in the application of genomic techniques to non-model organisms (NMOs) over the past decade has yielded numerous valuable contributions to evolutionary biology and ecology, many of which would not have been possible with traditional genetic markers. We review this recent progression with a particular focus on genomic studies of marine mammals, a group of taxa that represent key macroevolutionary transitions from terrestrial to marine environments and for which available genomic resources have recently undergone notable rapid growth. Genomic studies of NMOs utilize an expanding range of approaches, including whole genome sequencing, restriction site-associated DNA sequencing, array-based sequencing of single nucleotide polymorphisms and target sequence probes (e.g., exomes), and transcriptome sequencing. These approaches generate different types and quantities of data, and many can be applied with limited or no prior genomic resources, thus overcoming one traditional limitation of research on NMOs. Within marine mammals, such studies have thus far yielded significant contributions to the fields of phylogenomics and comparative genomics, as well as enabled investigations of fitness, demography, and population structure. Here we review the primary options for generating genomic data, introduce several emerging techniques, and discuss the suitability of each approach for different applications in the study of NMOs.


Iaith wreiddiolSaesneg
Tudalennau (o-i)481-95
Nifer y tudalennau15
CyfnodolynJournal of Heredity
Rhif y cyfnodolyn6
Dyddiad ar-lein cynnar10 Awst 2016
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Tach 2016
Cyhoeddwyd yn allanolIe
Gweld graff cysylltiadau