Adaptive genetic divergence along narrow environmental gradients in four stream insects

PLoS One. 2014 Mar 28;9(3):e93055. doi: 10.1371/journal.pone.0093055. eCollection 2014.

Abstract

A central question linking ecology with evolutionary biology is how environmental heterogeneity can drive adaptive genetic divergence among populations. We examined adaptive divergence of four stream insects from six adjacent catchments in Japan by combining field measures of habitat and resource components with genome scans of non-neutral Amplified Fragment Length Polymorphism (AFLP) loci. Neutral genetic variation was used to measure gene flow and non-neutral genetic variation was used to test for adaptive divergence. We identified the environmental characteristics contributing to divergence by comparing genetic distances at non-neutral loci between sites with Euclidean distances for each of 15 environmental variables. Comparisons were made using partial Mantel tests to control for geographic distance. In all four species, we found strong evidence for non-neutral divergence along environmental gradients at between 6 and 21 loci per species. The relative contribution of these environmental variables to each species' ecological niche was quantified as the specialization index, S, based on ecological data. In each species, the variable most significantly correlated with genetic distance at non-neutral loci was the same variable along which each species was most narrowly distributed (i.e., highest S). These were gradients of elevation (two species), chlorophyll-a, and ammonia-nitrogen. This adaptive divergence occurred in the face of ongoing gene flow (Fst = 0.01-0.04), indicating that selection was strong enough to overcome homogenization at the landscape scale. Our results suggest that adaptive divergence is pronounced, occurs along different environmental gradients for different species, and may consistently occur along the narrowest components of species' niche.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Physiological / genetics*
  • Animals
  • Ecology / methods
  • Ecosystem
  • Environment
  • Gene Flow / genetics*
  • Genetic Drift
  • Genetic Variation / genetics*
  • Genetics, Population
  • Geography / methods
  • Insecta / genetics*
  • Japan
  • Selection, Genetic / genetics

Grants and funding

This work was supported by the Japan Society for the Promotion of Science (JSPS) (grant numbers 22360192, 25289172, 24254003 and 25303020), the Ministry of Land, Infrastructure and Transport Japan (grant number 07052442), and the European Commission (grant number 237026). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.