4.6 Article

Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

期刊

CONSERVATION BIOLOGY
卷 35, 期 2, 页码 733-744

出版社

WILEY
DOI: 10.1111/cobi.13568

关键词

adaptation; functional genetic diversity; isolation-by-distance; isolation-by-environment; neutral genetic diversity; plant conservation; simulations; variance partitioning

资金

  1. new faculty award from the office of the North Dakota Experimental Program to Stimulate Competitive Research (ND-EPSCoR) [NSF-IIA-1355466]
  2. NDSU Environmental and Conservation Sciences Program

向作者/读者索取更多资源

By evaluating genetic differentiation of populations, it was found that geographic and environmental distances play a crucial role in capturing population genetic diversity and differentiation. Prioritizing population collections based on these distances can optimize the genetic variation captured ex situ.
Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species' genetic variation may be preservedex situ, is a major goal of conservation. However, challenges can persist in optimizingex situcollections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance forex situcollections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulateex situcollections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10-16%; IBE, 1-5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulatedex situcollections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation capturedex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.

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