Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species

Proc Natl Acad Sci U S A. 2022 Jan 4;119(1):e2105076119. doi: 10.1073/pnas.2105076119.

Abstract

About 50 y ago, Crow and Kimura [An Introduction to Population Genetics Theory (1970)] and Ohta and Kimura [Genet. Res. 22, 201-204 (1973)] laid the foundations of conservation genetics by predicting the relationship between population size and genetic marker diversity. This work sparked an enormous research effort investigating the importance of population dynamics, in particular small population size, for population mean performance, population viability, and evolutionary potential. In light of a recent perspective [J. C. Teixeira, C. D. Huber, Proc. Natl. Acad. Sci. U.S.A. 118, 10 (2021)] that challenges some fundamental assumptions in conservation genetics, it is timely to summarize what the field has achieved, what robust patterns have emerged, and worthwhile future research directions. We consider theory and methodological breakthroughs that have helped management, and we outline some fundamental and applied challenges for conservation genetics.

Keywords: adaptation; conservation; genetic variation; population size; threatened species.

MeSH terms

  • Animals
  • Biological Evolution
  • Conservation of Natural Resources
  • Endangered Species*
  • Gene Flow
  • Genetic Load
  • Genetic Markers
  • Genetic Variation*
  • Genetics, Population*
  • Population Density*
  • Population Dynamics

Substances

  • Genetic Markers