Biological invasions, climate change and genomics

Evolutionary Applications

Steven L. Chown¹  Kathryn A. Hodgins¹  Philippa C. Griffin²  John G. Oakeshott³  Margaret Byrne⁴ 

[1] School of Biological Sciences, Monash University, Clayton, Vic., Australia;Department of Genetics, Bio21 Institute, The University of Melbourne, Parkville, Vic., Australia;CSIRO Land and Water Flagship, Black Mountain Laboratories, Canberra, ACT, Australia;Science and Conservation Division, Department of Parks and Wildlife, Bentley Delivery Centre, Bentley, WA, Australia

关键词: adaptation;    admixture;    climate change;    decision framework;    genomics;    hybridization;    invasive species;    management;   

DOI  :  10.1111/eva.12234

来源: Wiley

【 摘 要 】

Abstract

The rate of biological invasions is expected to increase as the effects of climate change on biological communities become widespread. Climate change enhances habitat disturbance which facilitates the establishment of invasive species, which in turn provides opportunities for hybridization and introgression. These effects influence local biodiversity that can be tracked through genetic and genomic approaches. Metabarcoding and metagenomic approaches provide a way of monitoring some types of communities under climate change for the appearance of invasives. Introgression and hybridization can be followed by the analysis of entire genomes so that rapidly changing areas of the genome are identified and instances of genetic pollution monitored. Genomic markers enable accurate tracking of invasive species’ geographic origin well beyond what was previously possible. New genomic tools are promoting fresh insights into classic questions about invading organisms under climate change, such as the role of genetic variation, local adaptation and climate pre-adaptation in successful invasions. These tools are providing managers with often more effective means to identify potential threats, improve surveillance and assess impacts on communities. We provide a framework for the application of genomic techniques within a management context and also indicate some important limitations in what can be achieved.

【 授权许可】

CC BY   
© 2014 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.