Abstract

Evolutionary adaptation drives biodiversity. So far, however, evolutionary thinking has had limited impact on plans to counter the effects of climate change on biodiversity and associated ecosystem services. This is despite habitat fragmentation diminishing the ability of populations to mount evolutionary responses, via reductions in population size, reductions in gene flow and reductions in the heterogeneity of environments that populations occupy. Research on evolutionary adaptation to other challenges has benefitted enormously in recent years from genomic tools, but these have so far only been applied to the climate change issue in a piecemeal manner. Here, we explore how new genomic knowledge might be combined with evolutionary thinking in a decision framework aimed at reducing the long-term impacts of climate change on biodiversity and ecosystem services. This framework highlights the need to rethink local conservation and management efforts in biodiversity conservation. We take a dynamic view of biodiversity based on the recognition of continuously evolving lineages, and we highlight when and where new genomic approaches are justified. In general, and despite challenges in developing genomic tools for non-model organisms, genomics can help management decide when resources should be redirected to increasing gene flow and hybridisation across climate zones and facilitating in situ evolutionary change in large heterogeneous areas. It can also help inform when conservation priorities need to shift from maintaining genetically distinct populations and species to supporting processes of evolutionary change. We illustrate our argument with particular reference to Australia’s biodiversity.

Highlights

  • Predictions based on species distribution models are relatively crude because they assume that current distributions are limited by climatic factors, whereas the climatic space a species can tolerate may be substantially greater than the area where it persist [8,9]

  • Concluding remarks Our framework highlights the potential of genomic studies to contribute to strategies for conserving biodiversity

  • Both population and quantitative genomics are crucial, aided by, but not dependent on, a good reference genome sequence. These genomic approaches do not provide a panacea for the problems in biodiversity conservation under climate change

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Summary

Reduced evolutionary potential

Populations from similar environments, and this might increase rates of adaptive evolution [44]. The recently developed reduced-representation sequencing (RRS), including genotyping-by-sequencing (GBS) and RADSeq [57,58,59] technologies, can overcome this problem by targeting a subset (approximately 1%) of the genome These approaches typically involve restriction enzyme digestion of genomic DNA, sample barcoding by attaching unique oligo-nucleotide sequences identifying individuals and selection of a subset of genomic fragments, followed by sequencing of multiple samples in the same lane on an Illumina sequencing platform. Guidelines [51,60,61,67] and software packages such as ngsTools [68] and npstat [69], which carry out likelihood-based estimation of allele frequencies, are available to help tackle these challenges Another affordable strategy for population genomic studies is transcriptome sequencing (TS).

Gene expression analyses to identify abundance of key gene transcripts
Do populations have enough genetic diversity for an evolutionary response?
Is genetic diversity strongly distributed across populations?
Limitations
How quickly can genetic adaptation occur?
Determining whether hybridisation occurs in nature
Can species migrate quickly enough?
Landscape genomics and gene trait association
Australian National University
Landscape genomics across river catchment and climate gradient
Conservation translocation
Population restoration
Findings
Ecological replacement
Full Text
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